llc cells Search Results


97
Transnetyx brain bits
Brain Bits, supplied by Transnetyx, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/bio_rxiv__64898__2026__04__23__720437-171-8-10?v=Transnetyx
Average 97 stars, based on 1 article reviews
brain bits - by Bioz Stars, 2026-07
97/100 stars
  Buy from Supplier

90
CLS Cell Lines Service GmbH llc pk1
IFT88 is recruited at k-fibers minus-ends after laser ablation and contributes to their re-anchoring into spindle. ( a ) Images from time-lapse microscopy of monopolar <t>Emerald-IFT88</t> <t>LLC-PK1</t> cells labelled for tubulin (SiR-Tubulin) before and after k-fiber laser ablation (upper panel). Hoechst live was used to identify k-fibers attached to chromosomes. Time post-ablation (s). α-tubulin, IFT88 and α-tubulin/IFT88 stainings (maximal intensity projection of 2 planes) show IFT88 accumulation at minus-end after laser ablation (white arrow). ( b ) Line scans representing α-tubulin and IFT88 fluorescence intensities measured from a to b along the yellow line shown in ( a ). ( c ) Western-blots showing the amount of IFT88 in GFP-α-tubulin LLC-PK1 cells transfected with control (CT) or IFT88 siRNA. α-tubulin: loading control. ( d ) Images from time-lapse microscopy of monopolar GFP-α-tubulin LLC-PK1 labelled for DNA (Hoechst live, red), to allow for k-fibers detection, in control (CT) and IFT88-depleted cells (left panels). Inverted contrast images of α-tubulin before and after k-fiber ablation (ablation site, red arrowhead) show a delay in k-fiber re-anchoring into spindle upon IFT88 depletion. Images were acquired every 3 s for 2 min. Time post-ablation (s). Single planes are shown. Insets: magnification of the ablated k-fibers, dashed boxes regions. Red boxes indicate k-fibers re-anchoring. ( e ) Quantification of the time (s) required for k-fiber re-anchoring into spindle after laser ablation in CT and IFT88-depleted cells. n ≥ 30 ablated k-fibers (1 ablated k-fiber per cell), 3 experiments. Mean +/− s.e.m ** P < 0.01 compared to control ( t test). Scale bars: 5 µm.
Llc Pk1, supplied by CLS Cell Lines Service GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/pmc06635507-161-0-1?v=CLS+Cell+Lines+Service+GmbH
Average 90 stars, based on 1 article reviews
llc pk1 - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

96
Danaher Inc multi well plate reader image xpress pico automated bioimager system
IFT88 is recruited at k-fibers minus-ends after laser ablation and contributes to their re-anchoring into spindle. ( a ) Images from time-lapse microscopy of monopolar <t>Emerald-IFT88</t> <t>LLC-PK1</t> cells labelled for tubulin (SiR-Tubulin) before and after k-fiber laser ablation (upper panel). Hoechst live was used to identify k-fibers attached to chromosomes. Time post-ablation (s). α-tubulin, IFT88 and α-tubulin/IFT88 stainings (maximal intensity projection of 2 planes) show IFT88 accumulation at minus-end after laser ablation (white arrow). ( b ) Line scans representing α-tubulin and IFT88 fluorescence intensities measured from a to b along the yellow line shown in ( a ). ( c ) Western-blots showing the amount of IFT88 in GFP-α-tubulin LLC-PK1 cells transfected with control (CT) or IFT88 siRNA. α-tubulin: loading control. ( d ) Images from time-lapse microscopy of monopolar GFP-α-tubulin LLC-PK1 labelled for DNA (Hoechst live, red), to allow for k-fibers detection, in control (CT) and IFT88-depleted cells (left panels). Inverted contrast images of α-tubulin before and after k-fiber ablation (ablation site, red arrowhead) show a delay in k-fiber re-anchoring into spindle upon IFT88 depletion. Images were acquired every 3 s for 2 min. Time post-ablation (s). Single planes are shown. Insets: magnification of the ablated k-fibers, dashed boxes regions. Red boxes indicate k-fibers re-anchoring. ( e ) Quantification of the time (s) required for k-fiber re-anchoring into spindle after laser ablation in CT and IFT88-depleted cells. n ≥ 30 ablated k-fibers (1 ablated k-fiber per cell), 3 experiments. Mean +/− s.e.m ** P < 0.01 compared to control ( t test). Scale bars: 5 µm.
Multi Well Plate Reader Image Xpress Pico Automated Bioimager System, supplied by Danaher Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/pmc12677246-524-11-20?v=Danaher+Inc
Average 96 stars, based on 1 article reviews
multi well plate reader image xpress pico automated bioimager system - by Bioz Stars, 2026-07
96/100 stars
  Buy from Supplier

96
Molecular Devices LLC cloneselect a g
( A ) Conceptual diagram of retrospective clone isolation. ( B ) Different barcode-specific gRNA-dependent reporter activation circuits. <t>CloneSelect</t> C→T, low-copy CRISPRa, and high-copy CRISPRa. ( C ) Flow cytometry analysis of single-cell EGFP activation levels. ( D ) Barcode-dependent reporter activation of six barcoded cell lines by CloneSelect C→T. Scale bar, 50 μm. ( E ) Comparison of CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). For each approach, Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. ( F ) CloneSelect <t>A→G.</t> ( G ) Comparison of CloneSelect A→G, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). Welch’s t-test was performed to compare OT and NT activations. ( H ) ROC curves along varying EGFP intensity thresholds for target barcoded cells. Left, CloneSelect C→T and low-copy CRISPRa by the same targeting gRNAs. Right, CloneSelect A→G and low-copy CRISPRa for the same set of targeting gRNAs. ( I ) Performance comparison of CloneSelect C→T and CloneSelect A→G. Activated cell frequencies of OT and NT barcodes were normalized by activated cell frequencies of OT barcodes conferred by low-copy CRISPRa using the same targeting gRNA. The Mann-Whitney U test was performed to compare the two groups of datasets. * P < 0.05; ** P < 0.01; *** P < 0.001.
Cloneselect A G, supplied by Molecular Devices LLC, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/bio_rxiv__2023__01__18__524633-41-5-5?v=Molecular+Devices+LLC
Average 96 stars, based on 1 article reviews
cloneselect a g - by Bioz Stars, 2026-07
96/100 stars
  Buy from Supplier

95
Tymora Analytical Operations LLC proteomics analysis
( A ) Conceptual diagram of retrospective clone isolation. ( B ) Different barcode-specific gRNA-dependent reporter activation circuits. <t>CloneSelect</t> C→T, low-copy CRISPRa, and high-copy CRISPRa. ( C ) Flow cytometry analysis of single-cell EGFP activation levels. ( D ) Barcode-dependent reporter activation of six barcoded cell lines by CloneSelect C→T. Scale bar, 50 μm. ( E ) Comparison of CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). For each approach, Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. ( F ) CloneSelect <t>A→G.</t> ( G ) Comparison of CloneSelect A→G, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). Welch’s t-test was performed to compare OT and NT activations. ( H ) ROC curves along varying EGFP intensity thresholds for target barcoded cells. Left, CloneSelect C→T and low-copy CRISPRa by the same targeting gRNAs. Right, CloneSelect A→G and low-copy CRISPRa for the same set of targeting gRNAs. ( I ) Performance comparison of CloneSelect C→T and CloneSelect A→G. Activated cell frequencies of OT and NT barcodes were normalized by activated cell frequencies of OT barcodes conferred by low-copy CRISPRa using the same targeting gRNA. The Mann-Whitney U test was performed to compare the two groups of datasets. * P < 0.05; ** P < 0.01; *** P < 0.001.
Proteomics Analysis, supplied by Tymora Analytical Operations LLC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/10__20517_slash_evcna__2023__57-686-0-7?v=Tymora+Analytical+Operations+LLC
Average 95 stars, based on 1 article reviews
proteomics analysis - by Bioz Stars, 2026-07
95/100 stars
  Buy from Supplier

90
Prehab Technologies LLC cd56+ nk cells
( A ) Conceptual diagram of retrospective clone isolation. ( B ) Different barcode-specific gRNA-dependent reporter activation circuits. <t>CloneSelect</t> C→T, low-copy CRISPRa, and high-copy CRISPRa. ( C ) Flow cytometry analysis of single-cell EGFP activation levels. ( D ) Barcode-dependent reporter activation of six barcoded cell lines by CloneSelect C→T. Scale bar, 50 μm. ( E ) Comparison of CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). For each approach, Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. ( F ) CloneSelect <t>A→G.</t> ( G ) Comparison of CloneSelect A→G, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). Welch’s t-test was performed to compare OT and NT activations. ( H ) ROC curves along varying EGFP intensity thresholds for target barcoded cells. Left, CloneSelect C→T and low-copy CRISPRa by the same targeting gRNAs. Right, CloneSelect A→G and low-copy CRISPRa for the same set of targeting gRNAs. ( I ) Performance comparison of CloneSelect C→T and CloneSelect A→G. Activated cell frequencies of OT and NT barcodes were normalized by activated cell frequencies of OT barcodes conferred by low-copy CRISPRa using the same targeting gRNA. The Mann-Whitney U test was performed to compare the two groups of datasets. * P < 0.05; ** P < 0.01; *** P < 0.001.
Cd56+ Nk Cells, supplied by Prehab Technologies LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/pm40499717-13-12-7?v=Prehab+Technologies+LLC
Average 90 stars, based on 1 article reviews
cd56+ nk cells - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
AllCells LLC purified cd34 + cells
A. Expression of ADAR1 and ADAR2 in T-ALL patient by RNA-seq (n = 256). B. Isoform expression of ADAR1 p150 and p110 between HSPC (n=3) and T-ALL (n= 256). C. Quantification of ADAR1 expression in HSPCs <t>(CD34+Lin−),</t> T-ALL LICs <t>(CD34+Lin−),</t> and non-LICs (CD34−Lin+). n = 3–4 patients. D-E. Overall RNA editing between relapsed and non-relapsed patients (D) or between mortality status (E) in violin plots. F. Comparison of RNA editing level between relapsed and non-relapsed cohort display under-edited sites (green color) and overedited sites (red color) with editing levels >0.2 and detected in >10% of patients in each group. G. Pie chart showing RNA editing locations in non-relapsed and relapsed T-ALL. H. Elevated RNA editing levels across all categories of editing locations between non-relapsed and relapsed groups. Statistical analysis was calculated by unpaired student’s t-test.
Purified Cd34 + Cells, supplied by AllCells LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/pmc10312963-180-11-15?v=AllCells+LLC
Average 90 stars, based on 1 article reviews
purified cd34 + cells - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
AllCells LLC human peripheral blood mononuclear cells (pbmcs)
A. Expression of ADAR1 and ADAR2 in T-ALL patient by RNA-seq (n = 256). B. Isoform expression of ADAR1 p150 and p110 between HSPC (n=3) and T-ALL (n= 256). C. Quantification of ADAR1 expression in HSPCs <t>(CD34+Lin−),</t> T-ALL LICs <t>(CD34+Lin−),</t> and non-LICs (CD34−Lin+). n = 3–4 patients. D-E. Overall RNA editing between relapsed and non-relapsed patients (D) or between mortality status (E) in violin plots. F. Comparison of RNA editing level between relapsed and non-relapsed cohort display under-edited sites (green color) and overedited sites (red color) with editing levels >0.2 and detected in >10% of patients in each group. G. Pie chart showing RNA editing locations in non-relapsed and relapsed T-ALL. H. Elevated RNA editing levels across all categories of editing locations between non-relapsed and relapsed groups. Statistical analysis was calculated by unpaired student’s t-test.
Human Peripheral Blood Mononuclear Cells (Pbmcs), supplied by AllCells LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/pmc09045311-372-0-12?v=AllCells+LLC
Average 90 stars, based on 1 article reviews
human peripheral blood mononuclear cells (pbmcs) - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
AllCells LLC cd4+ t cells pb009-2-c
A. Expression of ADAR1 and ADAR2 in T-ALL patient by RNA-seq (n = 256). B. Isoform expression of ADAR1 p150 and p110 between HSPC (n=3) and T-ALL (n= 256). C. Quantification of ADAR1 expression in HSPCs <t>(CD34+Lin−),</t> T-ALL LICs <t>(CD34+Lin−),</t> and non-LICs (CD34−Lin+). n = 3–4 patients. D-E. Overall RNA editing between relapsed and non-relapsed patients (D) or between mortality status (E) in violin plots. F. Comparison of RNA editing level between relapsed and non-relapsed cohort display under-edited sites (green color) and overedited sites (red color) with editing levels >0.2 and detected in >10% of patients in each group. G. Pie chart showing RNA editing locations in non-relapsed and relapsed T-ALL. H. Elevated RNA editing levels across all categories of editing locations between non-relapsed and relapsed groups. Statistical analysis was calculated by unpaired student’s t-test.
Cd4+ T Cells Pb009 2 C, supplied by AllCells LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/pmc08581836-193-7-11?v=AllCells+LLC
Average 90 stars, based on 1 article reviews
cd4+ t cells pb009-2-c - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
AllCells LLC cryopreserved purified human cd56 + nk cells
a Total lymphocytes obtained from healthy donors (HD), newly-diagnosed ALL patients and AML patients selected at the time of diagnosis, complete remission, and in relapse/refractory status were characterized using mass cytometry. b Frequencies of NK cell subsets among total lymphocytes (left panel), frequencies of NKG2A(+) and NKG2C(+) subpopulations among total NK cell subset (middle panel), and ratio of NKG2A(+) over NKG2C(+) subpopulations (right panel) characterized by mass cytometry. For quantitative comparisons, data were analyzed using a one-way ANOVA test. c and d For each group described in a , NKG2C(-) and NKG2C(+) NK cells from each individual were exported and concatenated in order to generate consensus files. c The optimized parameters for T-distributed stochastic neighbor embedding (opt-SNE) algorithm were used to cluster NK cell populations based on <t>CD56,</t> NKG2A, CD158a,h, CD158b1,b2,j, CD57, NKp30, NKp46, NKG2D, DNAM-1, CD4 and CD8 expression. Density of NK cell clusters are shown for NKG2C(-) and NKG2C(+) NK cells in healthy donors and in AML patients at the time of diagnosis (left panel). Expression of markers of interest defining the different clusters are projected on opt-SNE maps (right panel). d The heatmap displays the mean frequencies of NK cell markers in NKG2C(-) and NKG2C(+) NK cells, relative to pooled NKG2C(-) and NKG2C(+) NK cells. e , Schematic showing the experimental design to investigate the susceptibility of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE cells, engineered using optimal conditions, to NK cell-dependent depletion in vitro using PBMC from AML patient at diagnostic. ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE were thawed and reactivated using CD123 coated plates for 8 days. Reactivated cells were then co-cultivated for 1 day with PBMC from AML patients (n = 7) or healthy donors (n = 7) and then analyzed by flow cytometry to determine the absolute count of the remaining ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE . f, Box plots represent the ratio of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE counts obtained in the presence of PBMCs over the counts obtained in the absence of PBMCs. Dotted lines indicate data obtained from the same PBMC donor. In each box plot, the central mark indicates the median, the bottom and top edges of the box indicate the interquartile range (IQR), and the whiskers represent the maximum and minimum data point. For quantitative comparisons, data were analyzed using a non-parametric Wilcoxon matched-pairs signed rank test. p -values are indicated on the figures.
Cryopreserved Purified Human Cd56 + Nk Cells, supplied by AllCells LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/bio_rxiv__2021__12__06__471451-273-4-9?v=AllCells+LLC
Average 90 stars, based on 1 article reviews
cryopreserved purified human cd56 + nk cells - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
AllCells LLC bone marrow cells
a Total lymphocytes obtained from healthy donors (HD), newly-diagnosed ALL patients and AML patients selected at the time of diagnosis, complete remission, and in relapse/refractory status were characterized using mass cytometry. b Frequencies of NK cell subsets among total lymphocytes (left panel), frequencies of NKG2A(+) and NKG2C(+) subpopulations among total NK cell subset (middle panel), and ratio of NKG2A(+) over NKG2C(+) subpopulations (right panel) characterized by mass cytometry. For quantitative comparisons, data were analyzed using a one-way ANOVA test. c and d For each group described in a , NKG2C(-) and NKG2C(+) NK cells from each individual were exported and concatenated in order to generate consensus files. c The optimized parameters for T-distributed stochastic neighbor embedding (opt-SNE) algorithm were used to cluster NK cell populations based on <t>CD56,</t> NKG2A, CD158a,h, CD158b1,b2,j, CD57, NKp30, NKp46, NKG2D, DNAM-1, CD4 and CD8 expression. Density of NK cell clusters are shown for NKG2C(-) and NKG2C(+) NK cells in healthy donors and in AML patients at the time of diagnosis (left panel). Expression of markers of interest defining the different clusters are projected on opt-SNE maps (right panel). d The heatmap displays the mean frequencies of NK cell markers in NKG2C(-) and NKG2C(+) NK cells, relative to pooled NKG2C(-) and NKG2C(+) NK cells. e , Schematic showing the experimental design to investigate the susceptibility of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE cells, engineered using optimal conditions, to NK cell-dependent depletion in vitro using PBMC from AML patient at diagnostic. ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE were thawed and reactivated using CD123 coated plates for 8 days. Reactivated cells were then co-cultivated for 1 day with PBMC from AML patients (n = 7) or healthy donors (n = 7) and then analyzed by flow cytometry to determine the absolute count of the remaining ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE . f, Box plots represent the ratio of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE counts obtained in the presence of PBMCs over the counts obtained in the absence of PBMCs. Dotted lines indicate data obtained from the same PBMC donor. In each box plot, the central mark indicates the median, the bottom and top edges of the box indicate the interquartile range (IQR), and the whiskers represent the maximum and minimum data point. For quantitative comparisons, data were analyzed using a non-parametric Wilcoxon matched-pairs signed rank test. p -values are indicated on the figures.
Bone Marrow Cells, supplied by AllCells LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/pm29577517-46-4-12?v=AllCells+LLC
Average 90 stars, based on 1 article reviews
bone marrow cells - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

90
AllCells LLC dental follicle cells (dfcs), also called dental follicle stem cells (dfscs)
a Total lymphocytes obtained from healthy donors (HD), newly-diagnosed ALL patients and AML patients selected at the time of diagnosis, complete remission, and in relapse/refractory status were characterized using mass cytometry. b Frequencies of NK cell subsets among total lymphocytes (left panel), frequencies of NKG2A(+) and NKG2C(+) subpopulations among total NK cell subset (middle panel), and ratio of NKG2A(+) over NKG2C(+) subpopulations (right panel) characterized by mass cytometry. For quantitative comparisons, data were analyzed using a one-way ANOVA test. c and d For each group described in a , NKG2C(-) and NKG2C(+) NK cells from each individual were exported and concatenated in order to generate consensus files. c The optimized parameters for T-distributed stochastic neighbor embedding (opt-SNE) algorithm were used to cluster NK cell populations based on <t>CD56,</t> NKG2A, CD158a,h, CD158b1,b2,j, CD57, NKp30, NKp46, NKG2D, DNAM-1, CD4 and CD8 expression. Density of NK cell clusters are shown for NKG2C(-) and NKG2C(+) NK cells in healthy donors and in AML patients at the time of diagnosis (left panel). Expression of markers of interest defining the different clusters are projected on opt-SNE maps (right panel). d The heatmap displays the mean frequencies of NK cell markers in NKG2C(-) and NKG2C(+) NK cells, relative to pooled NKG2C(-) and NKG2C(+) NK cells. e , Schematic showing the experimental design to investigate the susceptibility of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE cells, engineered using optimal conditions, to NK cell-dependent depletion in vitro using PBMC from AML patient at diagnostic. ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE were thawed and reactivated using CD123 coated plates for 8 days. Reactivated cells were then co-cultivated for 1 day with PBMC from AML patients (n = 7) or healthy donors (n = 7) and then analyzed by flow cytometry to determine the absolute count of the remaining ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE . f, Box plots represent the ratio of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE counts obtained in the presence of PBMCs over the counts obtained in the absence of PBMCs. Dotted lines indicate data obtained from the same PBMC donor. In each box plot, the central mark indicates the median, the bottom and top edges of the box indicate the interquartile range (IQR), and the whiskers represent the maximum and minimum data point. For quantitative comparisons, data were analyzed using a non-parametric Wilcoxon matched-pairs signed rank test. p -values are indicated on the figures.
Dental Follicle Cells (Dfcs), Also Called Dental Follicle Stem Cells (Dfscs), supplied by AllCells LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/llc+cells/pm24749562-43-7-14?v=AllCells+LLC
Average 90 stars, based on 1 article reviews
dental follicle cells (dfcs), also called dental follicle stem cells (dfscs) - by Bioz Stars, 2026-07
90/100 stars
  Buy from Supplier

Image Search Results


IFT88 is recruited at k-fibers minus-ends after laser ablation and contributes to their re-anchoring into spindle. ( a ) Images from time-lapse microscopy of monopolar Emerald-IFT88 LLC-PK1 cells labelled for tubulin (SiR-Tubulin) before and after k-fiber laser ablation (upper panel). Hoechst live was used to identify k-fibers attached to chromosomes. Time post-ablation (s). α-tubulin, IFT88 and α-tubulin/IFT88 stainings (maximal intensity projection of 2 planes) show IFT88 accumulation at minus-end after laser ablation (white arrow). ( b ) Line scans representing α-tubulin and IFT88 fluorescence intensities measured from a to b along the yellow line shown in ( a ). ( c ) Western-blots showing the amount of IFT88 in GFP-α-tubulin LLC-PK1 cells transfected with control (CT) or IFT88 siRNA. α-tubulin: loading control. ( d ) Images from time-lapse microscopy of monopolar GFP-α-tubulin LLC-PK1 labelled for DNA (Hoechst live, red), to allow for k-fibers detection, in control (CT) and IFT88-depleted cells (left panels). Inverted contrast images of α-tubulin before and after k-fiber ablation (ablation site, red arrowhead) show a delay in k-fiber re-anchoring into spindle upon IFT88 depletion. Images were acquired every 3 s for 2 min. Time post-ablation (s). Single planes are shown. Insets: magnification of the ablated k-fibers, dashed boxes regions. Red boxes indicate k-fibers re-anchoring. ( e ) Quantification of the time (s) required for k-fiber re-anchoring into spindle after laser ablation in CT and IFT88-depleted cells. n ≥ 30 ablated k-fibers (1 ablated k-fiber per cell), 3 experiments. Mean +/− s.e.m ** P < 0.01 compared to control ( t test). Scale bars: 5 µm.

Journal: Scientific Reports

Article Title: IFT88 controls NuMA enrichment at k-fibers minus-ends to facilitate their re-anchoring into mitotic spindles

doi: 10.1038/s41598-019-46605-x

Figure Lengend Snippet: IFT88 is recruited at k-fibers minus-ends after laser ablation and contributes to their re-anchoring into spindle. ( a ) Images from time-lapse microscopy of monopolar Emerald-IFT88 LLC-PK1 cells labelled for tubulin (SiR-Tubulin) before and after k-fiber laser ablation (upper panel). Hoechst live was used to identify k-fibers attached to chromosomes. Time post-ablation (s). α-tubulin, IFT88 and α-tubulin/IFT88 stainings (maximal intensity projection of 2 planes) show IFT88 accumulation at minus-end after laser ablation (white arrow). ( b ) Line scans representing α-tubulin and IFT88 fluorescence intensities measured from a to b along the yellow line shown in ( a ). ( c ) Western-blots showing the amount of IFT88 in GFP-α-tubulin LLC-PK1 cells transfected with control (CT) or IFT88 siRNA. α-tubulin: loading control. ( d ) Images from time-lapse microscopy of monopolar GFP-α-tubulin LLC-PK1 labelled for DNA (Hoechst live, red), to allow for k-fibers detection, in control (CT) and IFT88-depleted cells (left panels). Inverted contrast images of α-tubulin before and after k-fiber ablation (ablation site, red arrowhead) show a delay in k-fiber re-anchoring into spindle upon IFT88 depletion. Images were acquired every 3 s for 2 min. Time post-ablation (s). Single planes are shown. Insets: magnification of the ablated k-fibers, dashed boxes regions. Red boxes indicate k-fibers re-anchoring. ( e ) Quantification of the time (s) required for k-fiber re-anchoring into spindle after laser ablation in CT and IFT88-depleted cells. n ≥ 30 ablated k-fibers (1 ablated k-fiber per cell), 3 experiments. Mean +/− s.e.m ** P < 0.01 compared to control ( t test). Scale bars: 5 µm.

Article Snippet: LLC-PK1 (CLS Cell Lines Services GmbH, Germany), GFP-αtubulin LLC-PK1 (Gift from P. Wadsworth) , GFP-αtubulin/mCherry-H2B LLC-PK1 previously generated and YFP-NuMA LLC-PK1 cells were grown in a 1:1 mixture of Opti-MEM/HAM’s F10 media supplemented with 10% fetal bovine serum (FBS).

Techniques: Time-lapse Microscopy, Fluorescence, Western Blot, Transfection, Control

IFT88 interacts with NuMA and contributes to its enrichment at k-fibers minus-ends after laser ablation. ( a ) Inverted contrast and merged images from time-lapse microscopy of monopolar YFP-NuMA LLC-PK1 combined with MT labelling (SiR-Tubulin) in control (CT) and IFT88-depleted cells before and after k-fiber laser ablation. The 3 s time-point after ablation is shown. Single planes are shown. Insets: magnification of the ablated k-fibers, dashed boxes regions. Hoechst live was used to identify k-fibers attached to chromosomes. Line scans (right) representing NuMA and α-tubulin fluorescence intensities, measured from a to b (control) or from c to d (siRNA IFT88) along the yellow line (left inset on the image), show an accumulation of NuMA at minus-ends of k-fibers after laser ablation in CT cells but not in IFT88-depleted cells. Scale bars: 5 μm. ( b ) Percentage of cells with ablated k-fibers associated with NuMA enrichment. n ≥ 29 ablated k-fibers (1 ablated k-fiber per cell), 3 experiments. Mean +/− s.d. ** P < 0.01 compared to control ( t test). ( c ) Quantification of NuMA fluorescence intensity at minus-ends of MT after laser ablation. n ≥ 22 cells, 2 experiments. Mean +/− s.e.m. * P < 0.05 compared to control ( t test). ( d ) Line scans of IFT88 and NuMA fluorescence intensities overtime at the minus-end of k-fibers after laser ablation. x: pre-ablation; black arrow indicates the time of ablation. ( e ) Endogenous immunoprecipitation of IFT88 performed on LLC-PK1 cells (nocodazole + 3 min washout) shows an interaction with NuMA. Scale bars: 5 μm.

Journal: Scientific Reports

Article Title: IFT88 controls NuMA enrichment at k-fibers minus-ends to facilitate their re-anchoring into mitotic spindles

doi: 10.1038/s41598-019-46605-x

Figure Lengend Snippet: IFT88 interacts with NuMA and contributes to its enrichment at k-fibers minus-ends after laser ablation. ( a ) Inverted contrast and merged images from time-lapse microscopy of monopolar YFP-NuMA LLC-PK1 combined with MT labelling (SiR-Tubulin) in control (CT) and IFT88-depleted cells before and after k-fiber laser ablation. The 3 s time-point after ablation is shown. Single planes are shown. Insets: magnification of the ablated k-fibers, dashed boxes regions. Hoechst live was used to identify k-fibers attached to chromosomes. Line scans (right) representing NuMA and α-tubulin fluorescence intensities, measured from a to b (control) or from c to d (siRNA IFT88) along the yellow line (left inset on the image), show an accumulation of NuMA at minus-ends of k-fibers after laser ablation in CT cells but not in IFT88-depleted cells. Scale bars: 5 μm. ( b ) Percentage of cells with ablated k-fibers associated with NuMA enrichment. n ≥ 29 ablated k-fibers (1 ablated k-fiber per cell), 3 experiments. Mean +/− s.d. ** P < 0.01 compared to control ( t test). ( c ) Quantification of NuMA fluorescence intensity at minus-ends of MT after laser ablation. n ≥ 22 cells, 2 experiments. Mean +/− s.e.m. * P < 0.05 compared to control ( t test). ( d ) Line scans of IFT88 and NuMA fluorescence intensities overtime at the minus-end of k-fibers after laser ablation. x: pre-ablation; black arrow indicates the time of ablation. ( e ) Endogenous immunoprecipitation of IFT88 performed on LLC-PK1 cells (nocodazole + 3 min washout) shows an interaction with NuMA. Scale bars: 5 μm.

Article Snippet: LLC-PK1 (CLS Cell Lines Services GmbH, Germany), GFP-αtubulin LLC-PK1 (Gift from P. Wadsworth) , GFP-αtubulin/mCherry-H2B LLC-PK1 previously generated and YFP-NuMA LLC-PK1 cells were grown in a 1:1 mixture of Opti-MEM/HAM’s F10 media supplemented with 10% fetal bovine serum (FBS).

Techniques: Time-lapse Microscopy, Control, Fluorescence, Immunoprecipitation

IFT88 contributes to k-fibers reincorporation into spindle after nocodazole washout and is required for proper chromosomes alignment. ( a ) Immunofluorescence images of GFP-α-tubulin LLC-PK1 upon nocodazole treatment followed by 5 min washout showing defects in k-fibers reincorporation into the main spindle in IFT88-depleted cells compared to control. α-tubulin and α-tubulin/DNA stainings are shown (left panel). Percentage of mitotic cells with disorganized spindles or misaligned chromosomes upon nocodazole washout (right panel). n > 300 mitotic cells. 3 experiments. Mean +/− s.d. *** P < 0.001 compared to control ( t test). ( b ) Immunofluorescence images of GFP-α-tubulin LLC-PK1 cells upon nocodazole treatment followed by 2 min washout showing defects in NuMA minus-ends localization in IFT88-depleted cells. NuMA and α-tubulin/NuMA stainings are shown (left panel). Insets: magnified dashed boxes regions. Quantification of NuMA fluorescence intensity at the minus-ends of acentrosomal microtubule asters upon nocodazole washout in control and IFT88-depleted cells (right panel). n ≥ 15 cells per condition and n ≥ 73 acentrosomal microtubule asters per condition, 1 experiment shown, representative of 2 experiments. Mean +/− s.e.m. * P < 0.05 compared to control ( t test). ( c ) Images from time-lapse microscopy of LLC-PK1 GFP-α-tubulin/mCherry-H2B cells showing defects in spindle organization and chromosomes alignment in IFT88-depleted cells compared to control upon nocodazole washout. Time after washout (min). ( d ) Immunofluorescence images of GFP-α-tubulin LLC-PK1 cells showing defects in chromosomes alignment (without nocodazole challenge) upon IFT88 depletion. α-tubulin/DNA staining is shown (left). Quantification (right): percentage of mitotic cells with misaligned chromosomes (siRNA control, IFT88 and IFT88 #2 as indicated). n > 100 mitotic cells. 3 experiments. Mean +/− s.d. ** P < 0.01 compared to control ( t test). ( e ) Immunofluorescence images (left) showing α-tubulin and DNA stainings in HCT116-AID-IFT88 cells. Control (No auxin) and auxin (30 h)-induced AID-YFP-IFT88 degradation conditions are shown. Quantification (middle): percentage of mitotic cells with misaligned chromosomes upon auxin treatment (30 h). n > 50 mitotic cells. 3 experiments. Mean +/− s.e.m * P < 0.05 compared to control ( t test). Western-blots (right) showing AID-YFP-IFT88 depletion in HCT116 cells upon auxin treatment. α-tubulin: loading control. In all panels, maximum projections are shown, scale bars: 5 or 10 μm.

Journal: Scientific Reports

Article Title: IFT88 controls NuMA enrichment at k-fibers minus-ends to facilitate their re-anchoring into mitotic spindles

doi: 10.1038/s41598-019-46605-x

Figure Lengend Snippet: IFT88 contributes to k-fibers reincorporation into spindle after nocodazole washout and is required for proper chromosomes alignment. ( a ) Immunofluorescence images of GFP-α-tubulin LLC-PK1 upon nocodazole treatment followed by 5 min washout showing defects in k-fibers reincorporation into the main spindle in IFT88-depleted cells compared to control. α-tubulin and α-tubulin/DNA stainings are shown (left panel). Percentage of mitotic cells with disorganized spindles or misaligned chromosomes upon nocodazole washout (right panel). n > 300 mitotic cells. 3 experiments. Mean +/− s.d. *** P < 0.001 compared to control ( t test). ( b ) Immunofluorescence images of GFP-α-tubulin LLC-PK1 cells upon nocodazole treatment followed by 2 min washout showing defects in NuMA minus-ends localization in IFT88-depleted cells. NuMA and α-tubulin/NuMA stainings are shown (left panel). Insets: magnified dashed boxes regions. Quantification of NuMA fluorescence intensity at the minus-ends of acentrosomal microtubule asters upon nocodazole washout in control and IFT88-depleted cells (right panel). n ≥ 15 cells per condition and n ≥ 73 acentrosomal microtubule asters per condition, 1 experiment shown, representative of 2 experiments. Mean +/− s.e.m. * P < 0.05 compared to control ( t test). ( c ) Images from time-lapse microscopy of LLC-PK1 GFP-α-tubulin/mCherry-H2B cells showing defects in spindle organization and chromosomes alignment in IFT88-depleted cells compared to control upon nocodazole washout. Time after washout (min). ( d ) Immunofluorescence images of GFP-α-tubulin LLC-PK1 cells showing defects in chromosomes alignment (without nocodazole challenge) upon IFT88 depletion. α-tubulin/DNA staining is shown (left). Quantification (right): percentage of mitotic cells with misaligned chromosomes (siRNA control, IFT88 and IFT88 #2 as indicated). n > 100 mitotic cells. 3 experiments. Mean +/− s.d. ** P < 0.01 compared to control ( t test). ( e ) Immunofluorescence images (left) showing α-tubulin and DNA stainings in HCT116-AID-IFT88 cells. Control (No auxin) and auxin (30 h)-induced AID-YFP-IFT88 degradation conditions are shown. Quantification (middle): percentage of mitotic cells with misaligned chromosomes upon auxin treatment (30 h). n > 50 mitotic cells. 3 experiments. Mean +/− s.e.m * P < 0.05 compared to control ( t test). Western-blots (right) showing AID-YFP-IFT88 depletion in HCT116 cells upon auxin treatment. α-tubulin: loading control. In all panels, maximum projections are shown, scale bars: 5 or 10 μm.

Article Snippet: LLC-PK1 (CLS Cell Lines Services GmbH, Germany), GFP-αtubulin LLC-PK1 (Gift from P. Wadsworth) , GFP-αtubulin/mCherry-H2B LLC-PK1 previously generated and YFP-NuMA LLC-PK1 cells were grown in a 1:1 mixture of Opti-MEM/HAM’s F10 media supplemented with 10% fetal bovine serum (FBS).

Techniques: Immunofluorescence, Control, Fluorescence, Time-lapse Microscopy, Staining, Western Blot

( A ) Conceptual diagram of retrospective clone isolation. ( B ) Different barcode-specific gRNA-dependent reporter activation circuits. CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa. ( C ) Flow cytometry analysis of single-cell EGFP activation levels. ( D ) Barcode-dependent reporter activation of six barcoded cell lines by CloneSelect C→T. Scale bar, 50 μm. ( E ) Comparison of CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). For each approach, Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. ( F ) CloneSelect A→G. ( G ) Comparison of CloneSelect A→G, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). Welch’s t-test was performed to compare OT and NT activations. ( H ) ROC curves along varying EGFP intensity thresholds for target barcoded cells. Left, CloneSelect C→T and low-copy CRISPRa by the same targeting gRNAs. Right, CloneSelect A→G and low-copy CRISPRa for the same set of targeting gRNAs. ( I ) Performance comparison of CloneSelect C→T and CloneSelect A→G. Activated cell frequencies of OT and NT barcodes were normalized by activated cell frequencies of OT barcodes conferred by low-copy CRISPRa using the same targeting gRNA. The Mann-Whitney U test was performed to compare the two groups of datasets. * P < 0.05; ** P < 0.01; *** P < 0.001.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) Conceptual diagram of retrospective clone isolation. ( B ) Different barcode-specific gRNA-dependent reporter activation circuits. CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa. ( C ) Flow cytometry analysis of single-cell EGFP activation levels. ( D ) Barcode-dependent reporter activation of six barcoded cell lines by CloneSelect C→T. Scale bar, 50 μm. ( E ) Comparison of CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). For each approach, Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. ( F ) CloneSelect A→G. ( G ) Comparison of CloneSelect A→G, low-copy CRISPRa, and high-copy CRISPRa across the same barcode-gRNA pairs (n=3). Welch’s t-test was performed to compare OT and NT activations. ( H ) ROC curves along varying EGFP intensity thresholds for target barcoded cells. Left, CloneSelect C→T and low-copy CRISPRa by the same targeting gRNAs. Right, CloneSelect A→G and low-copy CRISPRa for the same set of targeting gRNAs. ( I ) Performance comparison of CloneSelect C→T and CloneSelect A→G. Activated cell frequencies of OT and NT barcodes were normalized by activated cell frequencies of OT barcodes conferred by low-copy CRISPRa using the same targeting gRNA. The Mann-Whitney U test was performed to compare the two groups of datasets. * P < 0.05; ** P < 0.01; *** P < 0.001.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Isolation, Activation Assay, Flow Cytometry, MANN-WHITNEY

( A – C ) Barcode-specific gRNA-dependent activation of EGFP reporters for two barcoded HEK293T strains established for each of CloneSelect C→T ( A ), low-copy CRISPRa ( B ), and high-copy CRISPRa ( C ) (n=3). Scale bar, 50 μm. Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. ( D ) Median EGFP intensities of genome editing-activated EGFP positive cells (n=3). The Mann-Whitney U test was performed to compare two groups. ( E ) Comparison of Target-AID variants and a nCas9 (D10A) control in the CloneSelect C→T reporter activation for the same set of barcode-gRNA pairs (n=1). Welch’s t-test was performed to compare OT and NT activations. ( F ) Reporter activation in HeLa cells by CloneSelect C→T (n=3). Welch’s t-test was performed to compare OT and NT activations. Scale bar, 80 μm. * P < 0.05; ** P < 0.01; *** P < 0.001.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A – C ) Barcode-specific gRNA-dependent activation of EGFP reporters for two barcoded HEK293T strains established for each of CloneSelect C→T ( A ), low-copy CRISPRa ( B ), and high-copy CRISPRa ( C ) (n=3). Scale bar, 50 μm. Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. ( D ) Median EGFP intensities of genome editing-activated EGFP positive cells (n=3). The Mann-Whitney U test was performed to compare two groups. ( E ) Comparison of Target-AID variants and a nCas9 (D10A) control in the CloneSelect C→T reporter activation for the same set of barcode-gRNA pairs (n=1). Welch’s t-test was performed to compare OT and NT activations. ( F ) Reporter activation in HeLa cells by CloneSelect C→T (n=3). Welch’s t-test was performed to compare OT and NT activations. Scale bar, 80 μm. * P < 0.05; ** P < 0.01; *** P < 0.001.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Activation Assay, MANN-WHITNEY

( A and B ) Barcode-specific gRNA-dependent reporter activation of six barcoded cell lines prepared for each of low-copy CRISPRa and high-copy CRISPRa. Scale bar, 50 μm. ( C ) Median EGFP intensities of genome editing-activated EGFP positive cells (n=3). ( D ) ROC curves along varying reporter intensity thresholds for target barcoded cells. CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa were examined for the common set of six barcodes. The Mann-Whitney U test was performed to compare two groups (* P < 0.05; ** P < 0.01; *** P < 0.001). ( E ) Frequencies of CloneSelect C→T reporter-activated cells obtained by transfection of different DNA amounts of barcode-targeting genome editing reagents. ( F ) ROC curve for each input DNA amount along varying reporter intensity thresholds for target barcoded cells.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A and B ) Barcode-specific gRNA-dependent reporter activation of six barcoded cell lines prepared for each of low-copy CRISPRa and high-copy CRISPRa. Scale bar, 50 μm. ( C ) Median EGFP intensities of genome editing-activated EGFP positive cells (n=3). ( D ) ROC curves along varying reporter intensity thresholds for target barcoded cells. CloneSelect C→T, low-copy CRISPRa, and high-copy CRISPRa were examined for the common set of six barcodes. The Mann-Whitney U test was performed to compare two groups (* P < 0.05; ** P < 0.01; *** P < 0.001). ( E ) Frequencies of CloneSelect C→T reporter-activated cells obtained by transfection of different DNA amounts of barcode-targeting genome editing reagents. ( F ) ROC curve for each input DNA amount along varying reporter intensity thresholds for target barcoded cells.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Activation Assay, MANN-WHITNEY, Transfection

( A ) Different mCherry reporter variants tested to establish CloneSelect C→T. ( B and C ) mCherry expression from the different reporter variants with the first codon as GTG or ATG. Scale bar, 50 μm. ( D ) Activation of the M1V (GTG)+Δ2-9 mutant reporter with OT and NT gRNAs (n=3). Scale bar, 100 μm.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) Different mCherry reporter variants tested to establish CloneSelect C→T. ( B and C ) mCherry expression from the different reporter variants with the first codon as GTG or ATG. Scale bar, 50 μm. ( D ) Activation of the M1V (GTG)+Δ2-9 mutant reporter with OT and NT gRNAs (n=3). Scale bar, 100 μm.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Expressing, Activation Assay, Mutagenesis

( A – C ) Barcodespecific gRNA-dependent reporter activation of three barcoded cell lines prepared for each of CloneSelect A→G, low-copy CRISPRa, and high-copy CRISPRa. Scale bar, 50 μm. ( D – F ) Flow cytometry analysis of single-cell EGFP activation levels. ( G ) Median EGFP intensities of genome editing-activated EGFP positive cells (n=3). The Mann-Whitney U test was performed to compare two groups (* P < 0.05; ** P < 0.01; *** P < 0.001). ( H ) ROC curves along varying reporter intensity thresholds for target barcoded cells (n=3).

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A – C ) Barcodespecific gRNA-dependent reporter activation of three barcoded cell lines prepared for each of CloneSelect A→G, low-copy CRISPRa, and high-copy CRISPRa. Scale bar, 50 μm. ( D – F ) Flow cytometry analysis of single-cell EGFP activation levels. ( G ) Median EGFP intensities of genome editing-activated EGFP positive cells (n=3). The Mann-Whitney U test was performed to compare two groups (* P < 0.05; ** P < 0.01; *** P < 0.001). ( H ) ROC curves along varying reporter intensity thresholds for target barcoded cells (n=3).

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Activation Assay, Flow Cytometry, MANN-WHITNEY

( A ) Nucleotide compositions of barcodes in the mammalian CloneSelect C→T plasmid mini-pool. Five barcodes that had unexpected lengths were excluded from this visualization. The full barcode sequence list can be found in Table S1. ( B ) Barcode abundances in the cell population labeled by the mini-lentiviral barcode pool of CloneSelect C→T. ( C ) gRNA-dependent labeling of target barcoded cells in a population. ( D ) Flow cytometry cell sorting of reporter-activated cells. ( E ) Barcode enrichment analysis after cell sorting of the reporter-activated cells. Each row represents the barcode enrichment profile for each target isolation assay.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) Nucleotide compositions of barcodes in the mammalian CloneSelect C→T plasmid mini-pool. Five barcodes that had unexpected lengths were excluded from this visualization. The full barcode sequence list can be found in Table S1. ( B ) Barcode abundances in the cell population labeled by the mini-lentiviral barcode pool of CloneSelect C→T. ( C ) gRNA-dependent labeling of target barcoded cells in a population. ( D ) Flow cytometry cell sorting of reporter-activated cells. ( E ) Barcode enrichment analysis after cell sorting of the reporter-activated cells. Each row represents the barcode enrichment profile for each target isolation assay.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Plasmid Preparation, Sequencing, Labeling, Flow Cytometry, FACS, Isolation

( A ) scCloneSelect. ( B and C ) Barcode-specific gRNA-dependent reporter activation of the original CloneSelect C→T and scCloneSelect in HEK293T cells (n=3). Scale bar, 50 μm. ( D and E ) Barcode-specific gRNA-dependent reporter activation of three barcoded mESC lines by scCloneSelect. Target-AID was stably integrated prior to the barcoding. gRNAs were delivered by lentiviral transduction. Scale bar, 100 μm. Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. * P < 0.05; ** P < 0.01; *** P < 0.001. ( F ) Schematic diagram of a scCloneSelect workflow to retrospectively isolate a cell clone demonstrating a gene expression profile of interest from a cell population stored before they demonstrate the target gene expression pattern. ( G ) mESC cell culture assays and clone isolation performed in this work. ( H ) scRNA-seq of mESC populations treated with LIF and 2i and those without LIF or 2i. ( I ) Distribution of cells for arbitrarily selected clones in the two-dimensional embedding of high-dimensional gene expression space by UMAP (uniform manifold approximation and projection). ( J ) Abundance of barcoded cell clones in the mESC population. The data was generated based on dntags identified by reamplifying the dntag reads from the original scRNA-seq libraries. ( K ) gRNA-specific activation of target barcoded clones in the mESC population. Scale bar, 50 μm. ( L ) Barcode enrichment analysis after cell sorting of the reporter-activated cells. Each row represents the barcode enrichment profile for each target isolation assay. The left heatmap was expanded from the dashed box area of the right heatmap.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) scCloneSelect. ( B and C ) Barcode-specific gRNA-dependent reporter activation of the original CloneSelect C→T and scCloneSelect in HEK293T cells (n=3). Scale bar, 50 μm. ( D and E ) Barcode-specific gRNA-dependent reporter activation of three barcoded mESC lines by scCloneSelect. Target-AID was stably integrated prior to the barcoding. gRNAs were delivered by lentiviral transduction. Scale bar, 100 μm. Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations. * P < 0.05; ** P < 0.01; *** P < 0.001. ( F ) Schematic diagram of a scCloneSelect workflow to retrospectively isolate a cell clone demonstrating a gene expression profile of interest from a cell population stored before they demonstrate the target gene expression pattern. ( G ) mESC cell culture assays and clone isolation performed in this work. ( H ) scRNA-seq of mESC populations treated with LIF and 2i and those without LIF or 2i. ( I ) Distribution of cells for arbitrarily selected clones in the two-dimensional embedding of high-dimensional gene expression space by UMAP (uniform manifold approximation and projection). ( J ) Abundance of barcoded cell clones in the mESC population. The data was generated based on dntags identified by reamplifying the dntag reads from the original scRNA-seq libraries. ( K ) gRNA-specific activation of target barcoded clones in the mESC population. Scale bar, 50 μm. ( L ) Barcode enrichment analysis after cell sorting of the reporter-activated cells. Each row represents the barcode enrichment profile for each target isolation assay. The left heatmap was expanded from the dashed box area of the right heatmap.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Activation Assay, Stable Transfection, Transduction, Expressing, Cell Culture, Isolation, Clone Assay, Generated, FACS

( A ) EGFP-positive control expressions for the original CloneSelect C→T and scCloneSelect in HEK293T cells with the same genome editing conditions tested for the respective reporters (n=3). Scale bar, 50 μm. ( B ) Median EGFP intensities of base editing-activated EGFP positive cells (n=3). ( C and D ) Barcode-specific gRNA-dependent reporter activation of six barcoded cell lines by scCloneSelect (n=1). Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations (* P < 0.05; ** P < 0.01; *** P < 0.001). Scale bar, 50 μm. ( E ) RT-PCR of the scCloneSelect dntags in HEK293T. ( F ) Fraction of mESC single-cell transcriptome profiles (Drop-seq) that contained dntags and fraction of dntags reported in the uptag-dntag combination reference database. ( G ) Schematic representation of a scCloneSelect reporter activation assay where Target-AID was stably introduced to the cell population prior to barcoding and gRNA-dependent reporter activation. ( H and I ) gRNA-dependent reporter activation of target barcoded mESCs and CA1 hPSCs by scCloneSelect (n=2). Target-AID was stably integrated prior to the barcoding. Targeting gRNAs were delivered by transfection. Welch’s t-test was performed to compare OT and NT activations (* P < 0.05; ** P < 0.01; *** P < 0.001). Scale bar, 100 μm. ( J ) Schematic representation of a scCloneSelect reporter activation assay where the target gRNA and Target-AID were electroporated together to the barcoded cell population. ( K ) gRNA-dependent reporter activation of barcoded H1 hPSCs by scCloneSelect (n=2). Targeting gRNA and Target-AID were electroporated together. Scale bar, 100 μm.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) EGFP-positive control expressions for the original CloneSelect C→T and scCloneSelect in HEK293T cells with the same genome editing conditions tested for the respective reporters (n=3). Scale bar, 50 μm. ( B ) Median EGFP intensities of base editing-activated EGFP positive cells (n=3). ( C and D ) Barcode-specific gRNA-dependent reporter activation of six barcoded cell lines by scCloneSelect (n=1). Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activations (* P < 0.05; ** P < 0.01; *** P < 0.001). Scale bar, 50 μm. ( E ) RT-PCR of the scCloneSelect dntags in HEK293T. ( F ) Fraction of mESC single-cell transcriptome profiles (Drop-seq) that contained dntags and fraction of dntags reported in the uptag-dntag combination reference database. ( G ) Schematic representation of a scCloneSelect reporter activation assay where Target-AID was stably introduced to the cell population prior to barcoding and gRNA-dependent reporter activation. ( H and I ) gRNA-dependent reporter activation of target barcoded mESCs and CA1 hPSCs by scCloneSelect (n=2). Target-AID was stably integrated prior to the barcoding. Targeting gRNAs were delivered by transfection. Welch’s t-test was performed to compare OT and NT activations (* P < 0.05; ** P < 0.01; *** P < 0.001). Scale bar, 100 μm. ( J ) Schematic representation of a scCloneSelect reporter activation assay where the target gRNA and Target-AID were electroporated together to the barcoded cell population. ( K ) gRNA-dependent reporter activation of barcoded H1 hPSCs by scCloneSelect (n=2). Targeting gRNA and Target-AID were electroporated together. Scale bar, 100 μm.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Positive Control, Activation Assay, Reverse Transcription Polymerase Chain Reaction, Stable Transfection, Transfection

( A ) Yeast CloneSelect C→T circuit. ( B and C ) Barcode-specific gRNA-dependent reporter activation. Scale bar, 25 μm. Mean mCherry intensity measured by a plate reader was normalized by OD 595 nm (n=3). Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activities. ( D ) GTG→ATG editing frequencies observed by high-throughput sequencing. Welch’s t-test was performed to compare OT and NT datasets. ( E ) Yeast colonies formed on a 10-cm agar plate after performing a target clone labeling in the yeast cell population of Pool-100. ( F–J ) Analysis of colonies isolated after clone labeling using each targeting gRNA. ( F ) mCherry positive isolates from Pool-100. ( G ) mCherry negative isolates from Pool-100. ( H ) mCherry positive isolates from Pool-1580. ( I ) mCherry negative isolates from Pool-1580. ( J ) Summary of the analysis results. * P < 0.05; ** P < 0.01; *** P < 0.001.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) Yeast CloneSelect C→T circuit. ( B and C ) Barcode-specific gRNA-dependent reporter activation. Scale bar, 25 μm. Mean mCherry intensity measured by a plate reader was normalized by OD 595 nm (n=3). Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activities. ( D ) GTG→ATG editing frequencies observed by high-throughput sequencing. Welch’s t-test was performed to compare OT and NT datasets. ( E ) Yeast colonies formed on a 10-cm agar plate after performing a target clone labeling in the yeast cell population of Pool-100. ( F–J ) Analysis of colonies isolated after clone labeling using each targeting gRNA. ( F ) mCherry positive isolates from Pool-100. ( G ) mCherry negative isolates from Pool-100. ( H ) mCherry positive isolates from Pool-1580. ( I ) mCherry negative isolates from Pool-1580. ( J ) Summary of the analysis results. * P < 0.05; ** P < 0.01; *** P < 0.001.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Activation Assay, Next-Generation Sequencing, Labeling, Isolation

( A ) Different mCherry reporter variants tested to establish CloneSelect C→T. The different reporter variants were tested with the first codon as GTG or ATG. Scale bar, 100 μm. ( B ) Canavanine resistance assays for different CRISPR genome editing enzymes with a gRNA targeting CAN1 gene and a control NT gRNA. For each experiment, cell concentration was normalized to 1.0 OD 595 nm and serially diluted with 10-fold increments for spotting. ( C ) Estimated CFU counts for the same assay in ( B ). ( D ) Genome editing outcomes observed by amplicon sequencing. Frequencies of mutation patterns observed across the target sequence region are shown for the same assay in ( B ). ( E ) Genome editing frequencies at the target CAN1 locus estimated by amplicon sequencing for the different enzymes. ( F ) Activation of the mCherry M1V (GTG)+Δ2-9 mutant reporter by OT and NT gRNAs. Scale bar, 200 μm. ( G ) mCherry-positive control expressions for yeast CloneSelect. Yeast cells having the positive control reporters with three different barcodes (BC-C1, BC-C2, and BC-C3) were each treated by Target-AID and three different targeting gRNAs. Scale bar, 25 μm.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) Different mCherry reporter variants tested to establish CloneSelect C→T. The different reporter variants were tested with the first codon as GTG or ATG. Scale bar, 100 μm. ( B ) Canavanine resistance assays for different CRISPR genome editing enzymes with a gRNA targeting CAN1 gene and a control NT gRNA. For each experiment, cell concentration was normalized to 1.0 OD 595 nm and serially diluted with 10-fold increments for spotting. ( C ) Estimated CFU counts for the same assay in ( B ). ( D ) Genome editing outcomes observed by amplicon sequencing. Frequencies of mutation patterns observed across the target sequence region are shown for the same assay in ( B ). ( E ) Genome editing frequencies at the target CAN1 locus estimated by amplicon sequencing for the different enzymes. ( F ) Activation of the mCherry M1V (GTG)+Δ2-9 mutant reporter by OT and NT gRNAs. Scale bar, 200 μm. ( G ) mCherry-positive control expressions for yeast CloneSelect. Yeast cells having the positive control reporters with three different barcodes (BC-C1, BC-C2, and BC-C3) were each treated by Target-AID and three different targeting gRNAs. Scale bar, 25 μm.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: CRISPR, Concentration Assay, Amplification, Sequencing, Mutagenesis, Activation Assay, Positive Control

( A ) Bacterial CloneSelect A→G circuit. ABE and gRNA expressions were controlled by IPTG-inducible promoters, and the EGFP reporter expression was controlled by an arabinose-inducible promoter. ( B and C ) EGFP reporter activation of E. coli cells under different inducer conditions. Scale bar, 25 μm. Mean EGFP intensity measured by a plate reader was normalized by OD 595 nm (n=3). Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activities. ( D ) Base editing outcomes analyzed by Sanger sequencing. ( E ) Activities of the positive control EGFP reporter under the same conditions tested for (C) (n=3). Welch’s t-test was performed to compare OT and NT activities. ( F ) Zeocin resistance marker-based circuit. ( G ) Barcode-specific gRNA-dependent Zeocin resistance reporter activation. ( H ) Schematic diagram of a bacterial CloneSelect workflow using a drug selective condition for the target barcoded cell isolation. ( I ) Abundance of barcoded cells in Pool-100 and Pool-1550. ( J ) Colonies formed on Zeocin-selective and non-selective solid agar plates after performing the reporter activation of Clone 106 in the E. coli cell population of Pool-100. ( K ) Analysis of colonies isolated from Zeocin selective and non-selective plates obtained after clone labeling using each targeting gRNA. * P < 0.05; ** P < 0.01; *** P < 0.001.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) Bacterial CloneSelect A→G circuit. ABE and gRNA expressions were controlled by IPTG-inducible promoters, and the EGFP reporter expression was controlled by an arabinose-inducible promoter. ( B and C ) EGFP reporter activation of E. coli cells under different inducer conditions. Scale bar, 25 μm. Mean EGFP intensity measured by a plate reader was normalized by OD 595 nm (n=3). Welch’s t-test was performed to compare on-target (OT) and non-target (NT) activities. ( D ) Base editing outcomes analyzed by Sanger sequencing. ( E ) Activities of the positive control EGFP reporter under the same conditions tested for (C) (n=3). Welch’s t-test was performed to compare OT and NT activities. ( F ) Zeocin resistance marker-based circuit. ( G ) Barcode-specific gRNA-dependent Zeocin resistance reporter activation. ( H ) Schematic diagram of a bacterial CloneSelect workflow using a drug selective condition for the target barcoded cell isolation. ( I ) Abundance of barcoded cells in Pool-100 and Pool-1550. ( J ) Colonies formed on Zeocin-selective and non-selective solid agar plates after performing the reporter activation of Clone 106 in the E. coli cell population of Pool-100. ( K ) Analysis of colonies isolated from Zeocin selective and non-selective plates obtained after clone labeling using each targeting gRNA. * P < 0.05; ** P < 0.01; *** P < 0.001.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Expressing, Activation Assay, Sequencing, Positive Control, Marker, Cell Isolation, Isolation, Labeling

( A ) Activities of the positive control EGFP reporter. ABE and gRNA expression were controlled by an IPTG-inducible promoter, and the EGFP reporter expression was controlled by an arabinose-inducible promoter. ( B ) Base editing outcomes of the positive control reporters analyzed by Sanger sequencing. ( C ) Testing of Zeocin resistances conferred by two promoters expressing a Zeocin resistance gene with and without the upstream stop codon to block the selective marker translation. Each cell sample concentration was first adjusted to 0.1 OD 595 nm and serially diluted with 10-fold increments for spotting 5 μL. ( D ) Testing of cell viability under a non-selective condition for a constitutively active T7 promoter and the IPTG-inducible promoter to express the gRNA. OT and NT gRNAs were tested for the gRNA-dependent EGFP reporter and the positive control EGFP reporter. ABE was expressed under the IPTG-inducible promoter without IPTG provided. ( E ) gRNA-dependent Zeocin resistance reporter activation tested for the IPTG-inducible promoters with and without IPTG. ( F ) Bacterial CloneSelect using the Blasticidin resistance gene. Each cell sample concentration was first adjusted to 0.1 OD 595 nm and serially diluted with 10-fold increments for spotting 5 μL. ( G ) gRNA-dependent Blasticidin-resistance reporter activation tested for different inducer conditions and different Blasticidin concentrations. Each cell sample concentration was adjusted to 0.1 OD 595 nm for spotting 5 μL.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) Activities of the positive control EGFP reporter. ABE and gRNA expression were controlled by an IPTG-inducible promoter, and the EGFP reporter expression was controlled by an arabinose-inducible promoter. ( B ) Base editing outcomes of the positive control reporters analyzed by Sanger sequencing. ( C ) Testing of Zeocin resistances conferred by two promoters expressing a Zeocin resistance gene with and without the upstream stop codon to block the selective marker translation. Each cell sample concentration was first adjusted to 0.1 OD 595 nm and serially diluted with 10-fold increments for spotting 5 μL. ( D ) Testing of cell viability under a non-selective condition for a constitutively active T7 promoter and the IPTG-inducible promoter to express the gRNA. OT and NT gRNAs were tested for the gRNA-dependent EGFP reporter and the positive control EGFP reporter. ABE was expressed under the IPTG-inducible promoter without IPTG provided. ( E ) gRNA-dependent Zeocin resistance reporter activation tested for the IPTG-inducible promoters with and without IPTG. ( F ) Bacterial CloneSelect using the Blasticidin resistance gene. Each cell sample concentration was first adjusted to 0.1 OD 595 nm and serially diluted with 10-fold increments for spotting 5 μL. ( G ) gRNA-dependent Blasticidin-resistance reporter activation tested for different inducer conditions and different Blasticidin concentrations. Each cell sample concentration was adjusted to 0.1 OD 595 nm for spotting 5 μL.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Positive Control, Expressing, Sequencing, Blocking Assay, Marker, Concentration Assay, Activation Assay

( A ) Three-gRNA-input OR gate with CloneSelect C→T that is designed to confer the EGFP reporter expression by any of the three barcode-specific gRNA-dependent GTG→ATG mutations. ( B ) Three-gRNA-input AND gate with CloneSelect A→G that is designed to confer the EGFP reporter expression when all three barcode-specific gRNA-dependent TAA→CAA mutations are provided.

Journal: bioRxiv

Article Title: A multi-kingdom genetic barcoding system for precise target clone isolation

doi: 10.1101/2023.01.18.524633

Figure Lengend Snippet: ( A ) Three-gRNA-input OR gate with CloneSelect C→T that is designed to confer the EGFP reporter expression by any of the three barcode-specific gRNA-dependent GTG→ATG mutations. ( B ) Three-gRNA-input AND gate with CloneSelect A→G that is designed to confer the EGFP reporter expression when all three barcode-specific gRNA-dependent TAA→CAA mutations are provided.

Article Snippet: To compare CloneSelect C→T and CloneSelect A→G, their cell activation frequencies for different target barcodes were normalized by those of low-copy CRISPRa for the same barcodes.

Techniques: Expressing

A. Expression of ADAR1 and ADAR2 in T-ALL patient by RNA-seq (n = 256). B. Isoform expression of ADAR1 p150 and p110 between HSPC (n=3) and T-ALL (n= 256). C. Quantification of ADAR1 expression in HSPCs (CD34+Lin−), T-ALL LICs (CD34+Lin−), and non-LICs (CD34−Lin+). n = 3–4 patients. D-E. Overall RNA editing between relapsed and non-relapsed patients (D) or between mortality status (E) in violin plots. F. Comparison of RNA editing level between relapsed and non-relapsed cohort display under-edited sites (green color) and overedited sites (red color) with editing levels >0.2 and detected in >10% of patients in each group. G. Pie chart showing RNA editing locations in non-relapsed and relapsed T-ALL. H. Elevated RNA editing levels across all categories of editing locations between non-relapsed and relapsed groups. Statistical analysis was calculated by unpaired student’s t-test.

Journal: Research Square

Article Title: Malignant A-to-I RNA editing by ADAR1 drives T-cell acute lymphoblastic leukemia relapse via attenuating dsRNA sensing

doi: 10.21203/rs.3.rs-2444524/v2

Figure Lengend Snippet: A. Expression of ADAR1 and ADAR2 in T-ALL patient by RNA-seq (n = 256). B. Isoform expression of ADAR1 p150 and p110 between HSPC (n=3) and T-ALL (n= 256). C. Quantification of ADAR1 expression in HSPCs (CD34+Lin−), T-ALL LICs (CD34+Lin−), and non-LICs (CD34−Lin+). n = 3–4 patients. D-E. Overall RNA editing between relapsed and non-relapsed patients (D) or between mortality status (E) in violin plots. F. Comparison of RNA editing level between relapsed and non-relapsed cohort display under-edited sites (green color) and overedited sites (red color) with editing levels >0.2 and detected in >10% of patients in each group. G. Pie chart showing RNA editing locations in non-relapsed and relapsed T-ALL. H. Elevated RNA editing levels across all categories of editing locations between non-relapsed and relapsed groups. Statistical analysis was calculated by unpaired student’s t-test.

Article Snippet: De-identified (IRB exempt) human cord blood samples were purchased as purified CD34 + cells from AllCells Inc or StemCell Techologies Inc.

Techniques: Expressing, RNA Sequencing, Comparison

A. Expression of ADAR1 and ADAR2 in T-ALL patient by RNA-seq (n = 256). B. Isoform expression of ADAR1 p150 and p110 between HSPC (n=3) and T-ALL (n= 256). C. Quantification of ADAR1 expression in HSPCs (CD34 + Lin − ), T-ALL LICs (CD34+Lin − ), and non-LICs (CD34 − Lin + ). n = 3–4 patients. D-E. Overall RNA editing between relapsed and non-relapsed patients (D) or between mortality status (E) in violin plots. F. Comparison of RNA editing level between relapsed and non-relapsed cohort display under-edited sites (green color) and overedited sites (red color) with editing levels >0.2 and detected in >10% of patients in each group. G. Pie chart showing RNA editing locations in non-relapsed and relapsed T-ALL. H. Elevated RNA editing levels across all categories of editing locations between non-relapsed and relapsed groups. Statistical analysis was calculated by unpaired student’s t-test.

Journal: Research Square

Article Title: Malignant A-to-I RNA editing by ADAR1 drives T-cell acute lymphoblastic leukemia relapse via attenuating dsRNA sensing

doi: 10.21203/rs.3.rs-2444524/v2

Figure Lengend Snippet: A. Expression of ADAR1 and ADAR2 in T-ALL patient by RNA-seq (n = 256). B. Isoform expression of ADAR1 p150 and p110 between HSPC (n=3) and T-ALL (n= 256). C. Quantification of ADAR1 expression in HSPCs (CD34 + Lin − ), T-ALL LICs (CD34+Lin − ), and non-LICs (CD34 − Lin + ). n = 3–4 patients. D-E. Overall RNA editing between relapsed and non-relapsed patients (D) or between mortality status (E) in violin plots. F. Comparison of RNA editing level between relapsed and non-relapsed cohort display under-edited sites (green color) and overedited sites (red color) with editing levels >0.2 and detected in >10% of patients in each group. G. Pie chart showing RNA editing locations in non-relapsed and relapsed T-ALL. H. Elevated RNA editing levels across all categories of editing locations between non-relapsed and relapsed groups. Statistical analysis was calculated by unpaired student’s t-test.

Article Snippet: De-identified (IRB exempt) human cord blood samples were purchased as purified CD34 + cells from AllCells Inc or StemCell Techologies Inc.

Techniques: Expressing, RNA Sequencing, Comparison

A. Experimental setup. T-ALL CD34 + cells were transduced with shCTRL, shADAR1, or shADAR1 and shMDA5 lentivirus in combination. Transduced cells were sorted based on GFP + mCherry + (GFP for shADAR1, and mCherry for shMDA5) and serial transplant potential was measured in recipient Rag2 −/− gc −/− mice. B-D. Serial leukemia engraftment and representative bone marrow FACS plot of patient 070 ( B ), patient 080 ( C ), and patient 076 ( D ) was determined for shCTRL, shADAR1, and shADAR1 in combination with shMDA5 (3–8 mice/condition). E . Images of spleen (left) and spleen weights (right) in serial transplanted patient 076 were determined after an 8-week engraftment interval. *p<0.05, **p<0.01, ***p<0.001, unpaired Student t-test.

Journal: Research Square

Article Title: Malignant A-to-I RNA editing by ADAR1 drives T-cell acute lymphoblastic leukemia relapse via attenuating dsRNA sensing

doi: 10.21203/rs.3.rs-2444524/v2

Figure Lengend Snippet: A. Experimental setup. T-ALL CD34 + cells were transduced with shCTRL, shADAR1, or shADAR1 and shMDA5 lentivirus in combination. Transduced cells were sorted based on GFP + mCherry + (GFP for shADAR1, and mCherry for shMDA5) and serial transplant potential was measured in recipient Rag2 −/− gc −/− mice. B-D. Serial leukemia engraftment and representative bone marrow FACS plot of patient 070 ( B ), patient 080 ( C ), and patient 076 ( D ) was determined for shCTRL, shADAR1, and shADAR1 in combination with shMDA5 (3–8 mice/condition). E . Images of spleen (left) and spleen weights (right) in serial transplanted patient 076 were determined after an 8-week engraftment interval. *p<0.05, **p<0.01, ***p<0.001, unpaired Student t-test.

Article Snippet: De-identified (IRB exempt) human cord blood samples were purchased as purified CD34 + cells from AllCells Inc or StemCell Techologies Inc.

Techniques: Transduction

A-B. Expression of ADAR1 isoforms in patient 076 and patient 081 was measured by RT-qPCR and western blot in Lin − CD34 + LIC− enriched population. C . Expression of MDA5 was determined in Lin − CD34 + LIC-enriched cells of patient 076 and patient 081. D-E. Expression of ADAR1 isoforms in three T-ALL cell lines, CUTTL1, SUP-T1, and Jurkat. F-G . MDA5 and PKR mRNA expression (F) and protein level (G) were determined in T-ALL cell lines. H. Cell counts of shRNA control, shADAR1, shMDA5, and co-knockdown of shADAR1 and shMDA5 were assessed after 3-days post lentiviral transduction. Data from three independent experiments are shown. Error bars represent mean with SEM. *p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001 unpaired Student t-test.

Journal: Research Square

Article Title: Malignant A-to-I RNA editing by ADAR1 drives T-cell acute lymphoblastic leukemia relapse via attenuating dsRNA sensing

doi: 10.21203/rs.3.rs-2444524/v2

Figure Lengend Snippet: A-B. Expression of ADAR1 isoforms in patient 076 and patient 081 was measured by RT-qPCR and western blot in Lin − CD34 + LIC− enriched population. C . Expression of MDA5 was determined in Lin − CD34 + LIC-enriched cells of patient 076 and patient 081. D-E. Expression of ADAR1 isoforms in three T-ALL cell lines, CUTTL1, SUP-T1, and Jurkat. F-G . MDA5 and PKR mRNA expression (F) and protein level (G) were determined in T-ALL cell lines. H. Cell counts of shRNA control, shADAR1, shMDA5, and co-knockdown of shADAR1 and shMDA5 were assessed after 3-days post lentiviral transduction. Data from three independent experiments are shown. Error bars represent mean with SEM. *p<0.05, **p<0.01, ***p<0.001, and ****p<0.0001 unpaired Student t-test.

Article Snippet: De-identified (IRB exempt) human cord blood samples were purchased as purified CD34 + cells from AllCells Inc or StemCell Techologies Inc.

Techniques: Expressing, Quantitative RT-PCR, Western Blot, shRNA, Control, Knockdown, Transduction

a Total lymphocytes obtained from healthy donors (HD), newly-diagnosed ALL patients and AML patients selected at the time of diagnosis, complete remission, and in relapse/refractory status were characterized using mass cytometry. b Frequencies of NK cell subsets among total lymphocytes (left panel), frequencies of NKG2A(+) and NKG2C(+) subpopulations among total NK cell subset (middle panel), and ratio of NKG2A(+) over NKG2C(+) subpopulations (right panel) characterized by mass cytometry. For quantitative comparisons, data were analyzed using a one-way ANOVA test. c and d For each group described in a , NKG2C(-) and NKG2C(+) NK cells from each individual were exported and concatenated in order to generate consensus files. c The optimized parameters for T-distributed stochastic neighbor embedding (opt-SNE) algorithm were used to cluster NK cell populations based on CD56, NKG2A, CD158a,h, CD158b1,b2,j, CD57, NKp30, NKp46, NKG2D, DNAM-1, CD4 and CD8 expression. Density of NK cell clusters are shown for NKG2C(-) and NKG2C(+) NK cells in healthy donors and in AML patients at the time of diagnosis (left panel). Expression of markers of interest defining the different clusters are projected on opt-SNE maps (right panel). d The heatmap displays the mean frequencies of NK cell markers in NKG2C(-) and NKG2C(+) NK cells, relative to pooled NKG2C(-) and NKG2C(+) NK cells. e , Schematic showing the experimental design to investigate the susceptibility of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE cells, engineered using optimal conditions, to NK cell-dependent depletion in vitro using PBMC from AML patient at diagnostic. ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE were thawed and reactivated using CD123 coated plates for 8 days. Reactivated cells were then co-cultivated for 1 day with PBMC from AML patients (n = 7) or healthy donors (n = 7) and then analyzed by flow cytometry to determine the absolute count of the remaining ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE . f, Box plots represent the ratio of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE counts obtained in the presence of PBMCs over the counts obtained in the absence of PBMCs. Dotted lines indicate data obtained from the same PBMC donor. In each box plot, the central mark indicates the median, the bottom and top edges of the box indicate the interquartile range (IQR), and the whiskers represent the maximum and minimum data point. For quantitative comparisons, data were analyzed using a non-parametric Wilcoxon matched-pairs signed rank test. p -values are indicated on the figures.

Journal: bioRxiv

Article Title: Endowing Universal CAR T-cell with Immune-Evasive Properties using TALEN-Gene Editing

doi: 10.1101/2021.12.06.471451

Figure Lengend Snippet: a Total lymphocytes obtained from healthy donors (HD), newly-diagnosed ALL patients and AML patients selected at the time of diagnosis, complete remission, and in relapse/refractory status were characterized using mass cytometry. b Frequencies of NK cell subsets among total lymphocytes (left panel), frequencies of NKG2A(+) and NKG2C(+) subpopulations among total NK cell subset (middle panel), and ratio of NKG2A(+) over NKG2C(+) subpopulations (right panel) characterized by mass cytometry. For quantitative comparisons, data were analyzed using a one-way ANOVA test. c and d For each group described in a , NKG2C(-) and NKG2C(+) NK cells from each individual were exported and concatenated in order to generate consensus files. c The optimized parameters for T-distributed stochastic neighbor embedding (opt-SNE) algorithm were used to cluster NK cell populations based on CD56, NKG2A, CD158a,h, CD158b1,b2,j, CD57, NKp30, NKp46, NKG2D, DNAM-1, CD4 and CD8 expression. Density of NK cell clusters are shown for NKG2C(-) and NKG2C(+) NK cells in healthy donors and in AML patients at the time of diagnosis (left panel). Expression of markers of interest defining the different clusters are projected on opt-SNE maps (right panel). d The heatmap displays the mean frequencies of NK cell markers in NKG2C(-) and NKG2C(+) NK cells, relative to pooled NKG2C(-) and NKG2C(+) NK cells. e , Schematic showing the experimental design to investigate the susceptibility of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE cells, engineered using optimal conditions, to NK cell-dependent depletion in vitro using PBMC from AML patient at diagnostic. ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE were thawed and reactivated using CD123 coated plates for 8 days. Reactivated cells were then co-cultivated for 1 day with PBMC from AML patients (n = 7) or healthy donors (n = 7) and then analyzed by flow cytometry to determine the absolute count of the remaining ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE . f, Box plots represent the ratio of ΔTRAC CAR123 ΔB2M and ΔTRAC CAR123 ΔB2M HLAE counts obtained in the presence of PBMCs over the counts obtained in the absence of PBMCs. Dotted lines indicate data obtained from the same PBMC donor. In each box plot, the central mark indicates the median, the bottom and top edges of the box indicate the interquartile range (IQR), and the whiskers represent the maximum and minimum data point. For quantitative comparisons, data were analyzed using a non-parametric Wilcoxon matched-pairs signed rank test. p -values are indicated on the figures.

Article Snippet: After thawing, cryopreserved purified human CD56 + NK cells (AllCells) (1×10 6 cells/mL) in complete medium (NK MACS medium supplemented with 1% NK MACS supplement (Miltenyi Biotec) and 5% human AB serum) were cultured in a 24-well plate (500 μL/well) and incubated overnight at 37°C, 5% CO 2 .

Techniques: Biomarker Discovery, Mass Cytometry, Expressing, In Vitro, Diagnostic Assay, Flow Cytometry

a Strategy for assessing resistance of ΔTRAC CAR123 ΔB2M HLAE T-cells to NK cells in a xenotransplantation model using hIL-15 NOG mice intravenously injected with human PBMCs. b Quantitation of human CD45 + immune cell and CD56 + NK cell engraftment in the spleen of hIL-15 NOG mice injected with human PBMCs or NK-depleted human PBMCs. c Representative flow cytometry plots showing the expression of HLA-E by ΔTRAC CAR123 ΔB2M HLAE T-cells at the time of injection and four days post intravenous injection in PBMC-engrafted hIL-15 NOG mice. d Box plots represent the mean value ± s.d. of c , depicting the percentage and absolute number of HLA-E(+) ΔTRAC CAR123 ΔB2M HLAE T-cells (n=5). On each box plot, the central mark indicates the median, the bottom and top edges of the box indicate the interquartile range (IQR), and the whiskers represent the maximum and minimum data point. Source data are provided as a Source Data file.

Journal: bioRxiv

Article Title: Endowing Universal CAR T-cell with Immune-Evasive Properties using TALEN-Gene Editing

doi: 10.1101/2021.12.06.471451

Figure Lengend Snippet: a Strategy for assessing resistance of ΔTRAC CAR123 ΔB2M HLAE T-cells to NK cells in a xenotransplantation model using hIL-15 NOG mice intravenously injected with human PBMCs. b Quantitation of human CD45 + immune cell and CD56 + NK cell engraftment in the spleen of hIL-15 NOG mice injected with human PBMCs or NK-depleted human PBMCs. c Representative flow cytometry plots showing the expression of HLA-E by ΔTRAC CAR123 ΔB2M HLAE T-cells at the time of injection and four days post intravenous injection in PBMC-engrafted hIL-15 NOG mice. d Box plots represent the mean value ± s.d. of c , depicting the percentage and absolute number of HLA-E(+) ΔTRAC CAR123 ΔB2M HLAE T-cells (n=5). On each box plot, the central mark indicates the median, the bottom and top edges of the box indicate the interquartile range (IQR), and the whiskers represent the maximum and minimum data point. Source data are provided as a Source Data file.

Article Snippet: After thawing, cryopreserved purified human CD56 + NK cells (AllCells) (1×10 6 cells/mL) in complete medium (NK MACS medium supplemented with 1% NK MACS supplement (Miltenyi Biotec) and 5% human AB serum) were cultured in a 24-well plate (500 μL/well) and incubated overnight at 37°C, 5% CO 2 .

Techniques: Injection, Quantitation Assay, Flow Cytometry, Expressing