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Image Search Results
Journal: Cell systems
Article Title: Illuminating Host-Mycobacterial Interactions with Genome-wide CRISPR Knockout and CRISPRi Screens.
doi: 10.1016/j.cels.2020.08.010
Figure Lengend Snippet: Figure 1. A Pooled Approach for CRISPR Knockout and CRISPRi Screening in Human THP-1 Cells (A) Strategy for preparing CRISPR libraries and performing genetic screens. (B) THP-1-mediated phagocytosis of M. bovis BCG after three rounds of infection (MOI 10:1) with induced green fluorescence (map24::GFP) (Scale bar, 20 mm). (C) Viability of host cells after three rounds of M. bovis BCG infection. (D and E) Expression of Cas9 (D) and dCas9-KRAB (E) in 9 randomly selected monoclonal THP-1 cells. Wild-type THP-1 cells were used as negative control. Vinculin was used as a loading control. (F) An sgRNA for EGFP was introduced in both wild-type and Cas9-expressing THP-1 cells using a lentivirus (pXPR-011) that also contains EGFP as a target (Scale bar, 20 mm). (G) Cas9-expressing THP-1 cells were transduced with an sgRNA targeting AAVS1 at a low MOI. Mutations at the AAVS1 locus were detected by SURVEYOR assay. The size of the AAVS1 amplicon is 500 bp. The cleaved product sizes are 320 and 180 bp. (H) Growth measurement associated with sgRNAs targeting INTS9, MCM2, and non-targeting negative controls sgNC1 and sgNC13. (I and J) RT-qPCR analysis of INTS9 (I) and MCM2 (J) expression in dCas9-KRAB-expressing THP-1 cells. The values are normalized to GAPDH (glyceraldehyde- 3-phosphate dehydrogenase). Data represent the mean ± SD (n = 3) (two-tailed unpaired Student’s t test, *p < 0.05 **p < 0.01 ***p < 0.001). See also Figure S1; Table S13.
Article Snippet:
Techniques: CRISPR, Knock-Out, Infection, Expressing, Negative Control, Control, Transduction, Amplification, Quantitative RT-PCR, Two Tailed Test
Journal: Cell systems
Article Title: Illuminating Host-Mycobacterial Interactions with Genome-wide CRISPR Knockout and CRISPRi Screens.
doi: 10.1016/j.cels.2020.08.010
Figure Lengend Snippet: Figure 2. Genome-wide Pooled CRISPR Knockout and CRISPRi Screens to Dissect Biological Pathways in Mycobacterial Infection (A and B) Volcano plots from CRISPR knockout (A) and CRISPRi (B) screens. For each sgRNA-targeted gene, the x axis shows its enrichment or depletion post- infection, and the y axis shows statistical significance measured by p value. Positive and negative screen hits are labeled as red and green dots, respectively. Gray dots represent non-targeting controls. For each screen, experiments were carried out in triplicate. (C) Enriched genes in the Venn diagram were filtered with a cut-off of FDR <0.1 and log2-fold change >1 in M. bovis BCG infection. The degree of significance of the overlap is given. (D) Gene-centric visualization of average fold change of CRISPR knockout and CRISPRi screens in infected versus non-infected host cells. Selected type I IFN and AHR/ARNT pathway components are highlighted in orange and blue. (E and F) Candidate genes identified by CRISPR knockout (E) and CRISPRi (F) screens were functionally categorized to understand the changes in biological functions involved in M. bovis BCG infection. Pathways shown in red are those identified by both screens. Color gradient of nodes represents the enrichment scores of gene sets. Node size represents the number of genes in the gene set. Edge width represents mutual overlap of genes. See also Figures S2 and S3; Tables S1, S2, S3, S4, S5, S11, and S12.
Article Snippet:
Techniques: Genome Wide, CRISPR, Knock-Out, Infection, Labeling
Journal: Cell systems
Article Title: Illuminating Host-Mycobacterial Interactions with Genome-wide CRISPR Knockout and CRISPRi Screens.
doi: 10.1016/j.cels.2020.08.010
Figure Lengend Snippet: Figure 3. Secondary CRISPR Knockout and CRISPRi Screens Identify Host Genetic Hits in Mycobacterial Infection (A) Enriched genes were filtered with a cut-off of FDR <0.05 and log2-fold change >0.5 in M. bovis BCG infection. The degree of significance of the overlap is given. (B) Validation rate of genetic hits in secondary screens grouped by their p values in primary genome-wide screens in M. bovis BCG infection. Number of genes per category is indicated. (C) Genetic hits from both primary and secondary screens were ranked by their differential sgRNA abundance between M. bovis BCG-infected versus uninfected populations (log2 fold change). (D) Heatmap of screen hits (log2 fold change) clustered in different biological pathways in M. bovis BCG infection. See also Figures S4 and S5; Tables S6, S7, S8, S9, and S10.
Article Snippet:
Techniques: CRISPR, Knock-Out, Infection, Biomarker Discovery, Genome Wide
Journal: PLoS ONE
Article Title: Considerations and practical implications of performing a phenotypic CRISPR/Cas survival screen
doi: 10.1371/journal.pone.0263262
Figure Lengend Snippet: (A) Viability staining of DIE cells treated with doxycycline (Doxy) concentrations (100, 250, 500 or 1000ng/ml) and for different exposure times (2, 4, 6, or 8h) to determine the optimal concentration and exposure time to induce sufficient cell death rates in DIE cells. Green circles indicate which conditions (low Doxy: 250ng/ml high Doxy: 1000ng/ml); were used for the genome-wide CRIPSR/Cas9 screen. (B) The CRISPR/Cas9 screen timeline from the time of library transfection (Day 0) to the final harvest of surviving DIE cells (Day 10). 6 days after transfection of the library, Doxycycline (Doxy) was added for 24h to induce DUX4 expression. Low Doxy: 250ng/ml; high Doxy: 1000ng/ml; early harvest: 24h after Doxy removal; late harvest: 48h after Doxy removal. (C) Volcano plot showing the enrichment of sets of guides of the low doxycycline 250ng/ml) -early harvest (24h after doxycycline removal) screen (early-low). Blue points represent guide sets that are significantly enriched (P-value ≤ 0.01), LFC ≥ 1), green points are the positive controls (DUX4, MAST1, MGAT4B), red points represent the non-target/negative control guides. (D) Chromosomal ideogram indicating the location of enriched hits in the human genome, of the low doxycycline-early harvest screen (see panel B). (E) Schematic representation of the location of a small number of false positive hits on chromosome 5 and chromosome 19. (F) Viability staining demonstrating surviving DIE-Cas9 cells (DIE cells constitutively expressing Cas9) after 250ng/ml doxycycline exposure, containing knockouts of the same genes mentioned in (E), but also DUX4, MGAT4B and MAST1. Media did not contain any selection markers (blasticidin or puromycin) to select for the presence of the rtTA3 or the DUX4 transgene. NT: Non-target controls.
Article Snippet: The
Techniques: Staining, Concentration Assay, Genome Wide, CRISPR, Transfection, Expressing, Negative Control, Selection
Journal: PLoS ONE
Article Title: Considerations and practical implications of performing a phenotypic CRISPR/Cas survival screen
doi: 10.1371/journal.pone.0263262
Figure Lengend Snippet: (A) Adjusted volcano plot of screen data with low doxycycline (250ng/ml)/early harvest (24h after doxycycline removal, see ) showing the enrichment of sets of guides targeting genes not located on chromosome 5q or chromosome 19p. Blue points represent guide sets that are significantly enriched (P-value ≤ 0.01), Log2(fold change) ≥ 1), the green point is the positive control (DUX4), red points represent the non-target control guides. (B) Venn diagram showing the overlap of filtered hits between the four screens (EL: Early harvest-low Doxy, LL: Late harvest-Low doxy, EH: Early harvest-high Doxy, LH: Late harvest-High doxy), see also . (C) Viability staining showing surviving DIE cells containing single knockouts of potentials hits, identified in the CRISPR screen. Knockouts of individual genes were generated by transfection of sgRNA; 6 days later, cells were left untreated or treated with 3 different concentrations of doxycycline (100, 250 and 1000ng/ml) for and incubated for an additional 48–96 hours prior to visualizing surviving cells. Data are representative of at least three independent experiments. (D) Viability staining showing the surviving DIE-ieGFP-Cas9 cells (DIE cells expressing Cas9 constitutively and contain doxycycline-inducible eGFP) with single knockouts of mediator complex subunits. Knockouts of individual genes were generated by transfection of sgRNA; 6 days later cells were treated for doxycycline (250ng/ml) for 24h and incubated for an additional 48–96 hours prior to visualizing surviving cells. Data are representative of at least three independent experiments. (E) FACS data showing GFP-positive cells in surviving populations of DIE-ieGFP-Cas9 (expressing constitutive Cas9 and doxycycline-inducible GFP). cells containing single knockouts as indicated. Knockouts of individual genes were generated by transfection of sgRNA; 6 days later, cells were treated with doxycycline (250ng/ml) for 24h prior to FACS analysis. DIE-ieGFP-Cas9 cells comprised of 42% of eGFP-positive cells after DUX4 knockout. rtTA, MED25, MED24 and MED16 knockouts displayed a lower percentage of eGFP-expressing cells, comprising between 1.2–4% of eGFP-expressing cells. Data are representative of at least three independent experiments.
Article Snippet: The
Techniques: Positive Control, Control, Staining, CRISPR, Generated, Transfection, Incubation, Expressing, Knock-Out