microarray based assay Search Results


90
Agendia BV targetprint her2 gene expression
Patients are screened for I-SPY 2 eligibility. Eligible patients are adaptively randomized to 12 weekly paclitaxel (and trastuzumab if <t>HER2+)</t> cycles (control) or in combination with one of several experimental agents followed by doxorubicin/cyclophosphamide (AC) × 4, with serial biomarkers (biopsies, blood draw and MRI scans) assessed over the course of their therapy. Only patients with HER2− disease were randomized to the veliparib/carboplatin arm.
Targetprint Her2 Gene Expression, supplied by Agendia BV, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SCIENION superamine coated glass-based cdna microarrays
Patients are screened for I-SPY 2 eligibility. Eligible patients are adaptively randomized to 12 weekly paclitaxel (and trastuzumab if <t>HER2+)</t> cycles (control) or in combination with one of several experimental agents followed by doxorubicin/cyclophosphamide (AC) × 4, with serial biomarkers (biopsies, blood draw and MRI scans) assessed over the course of their therapy. Only patients with HER2− disease were randomized to the veliparib/carboplatin arm.
Superamine Coated Glass Based Cdna Microarrays, supplied by SCIENION, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Spatial Transcriptomics Inc spatial transcriptomics 2k arrays
a Schematic representation of the experimental design of this study. Livers were collected at 12, 24, or 38 h post infection (hpi) with P. berghei parasites or salivary gland lysate of uninfected mosquitoes (SGC) (left). Immunofluorescence (IF) staining of the parasite, spatial <t>transcriptomics</t> (ST) or 10X visium spatial technology protocols, and droplet-based single-nuclei RNA sequencing (snRNA-seq) were performed (center). Both data were further analyzed computationally (right). IHS stands for immune hotspot. b After dimensionality reduction, the normalized and batch-corrected data were embedded in UMAP space and split by the original condition for visualization. Data from SGC sections are shown on the top from 12 to 38 hpi (left to right) and data from P. berghei - infected sections are shown on the bottom from 12 to 38 hpi (left to right). Clusters with an obvious association to infection conditions are highlighted with gray boxes. c For identified clusters ST10 and ST11, differential gene expression analysis (DGEA) was performed, followed by functional enrichment analysis for each cluster (see Methods for details). Overrepresented pathways of the KEGG database for ST10 are shown in rose and for ST11 in aquamarine. Scales for expression values of overrepresented genes belonging to the individual KEGG pathways are shown for ST11 (left) or ST10 (right), from high expression (dark) to lower expression (light). Selected gene names are shown at the bottom. Enrichment scores for the pathways are shown on the right. d Interaction analysis of clusters was performed to evaluate spatial enrichment expression programs as suggested by clustering analysis in space. Positive enrichment values (orange) indicate spots belonging to these clusters are more likely to be neighboring, while negative enrichment values (blue) indicate spots associated with these expression programs are less likely to be neighboring. Clusters without significant enrichment in each other’s neighborhoods are shown in white. e Visium clusters were imposed on spatial positions and annotated according to spatial expression features. Sections of the investigated conditions are divided for ease of inspection as in ( b ), with the top panel comprising SGC sections across 12–38 hpi and the bottom panel comprising P. berghei infected sections across 12–38 hpi.
Spatial Transcriptomics 2k Arrays, supplied by Spatial Transcriptomics Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Kohlhammer GmbH microarray-based comparative genomic hybridization
a Schematic representation of the experimental design of this study. Livers were collected at 12, 24, or 38 h post infection (hpi) with P. berghei parasites or salivary gland lysate of uninfected mosquitoes (SGC) (left). Immunofluorescence (IF) staining of the parasite, spatial <t>transcriptomics</t> (ST) or 10X visium spatial technology protocols, and droplet-based single-nuclei RNA sequencing (snRNA-seq) were performed (center). Both data were further analyzed computationally (right). IHS stands for immune hotspot. b After dimensionality reduction, the normalized and batch-corrected data were embedded in UMAP space and split by the original condition for visualization. Data from SGC sections are shown on the top from 12 to 38 hpi (left to right) and data from P. berghei - infected sections are shown on the bottom from 12 to 38 hpi (left to right). Clusters with an obvious association to infection conditions are highlighted with gray boxes. c For identified clusters ST10 and ST11, differential gene expression analysis (DGEA) was performed, followed by functional enrichment analysis for each cluster (see Methods for details). Overrepresented pathways of the KEGG database for ST10 are shown in rose and for ST11 in aquamarine. Scales for expression values of overrepresented genes belonging to the individual KEGG pathways are shown for ST11 (left) or ST10 (right), from high expression (dark) to lower expression (light). Selected gene names are shown at the bottom. Enrichment scores for the pathways are shown on the right. d Interaction analysis of clusters was performed to evaluate spatial enrichment expression programs as suggested by clustering analysis in space. Positive enrichment values (orange) indicate spots belonging to these clusters are more likely to be neighboring, while negative enrichment values (blue) indicate spots associated with these expression programs are less likely to be neighboring. Clusters without significant enrichment in each other’s neighborhoods are shown in white. e Visium clusters were imposed on spatial positions and annotated according to spatial expression features. Sections of the investigated conditions are divided for ease of inspection as in ( b ), with the top panel comprising SGC sections across 12–38 hpi and the bottom panel comprising P. berghei infected sections across 12–38 hpi.
Microarray Based Comparative Genomic Hybridization, supplied by Kohlhammer GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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GenTel BioSurfaces protein chip
a Schematic representation of the experimental design of this study. Livers were collected at 12, 24, or 38 h post infection (hpi) with P. berghei parasites or salivary gland lysate of uninfected mosquitoes (SGC) (left). Immunofluorescence (IF) staining of the parasite, spatial <t>transcriptomics</t> (ST) or 10X visium spatial technology protocols, and droplet-based single-nuclei RNA sequencing (snRNA-seq) were performed (center). Both data were further analyzed computationally (right). IHS stands for immune hotspot. b After dimensionality reduction, the normalized and batch-corrected data were embedded in UMAP space and split by the original condition for visualization. Data from SGC sections are shown on the top from 12 to 38 hpi (left to right) and data from P. berghei - infected sections are shown on the bottom from 12 to 38 hpi (left to right). Clusters with an obvious association to infection conditions are highlighted with gray boxes. c For identified clusters ST10 and ST11, differential gene expression analysis (DGEA) was performed, followed by functional enrichment analysis for each cluster (see Methods for details). Overrepresented pathways of the KEGG database for ST10 are shown in rose and for ST11 in aquamarine. Scales for expression values of overrepresented genes belonging to the individual KEGG pathways are shown for ST11 (left) or ST10 (right), from high expression (dark) to lower expression (light). Selected gene names are shown at the bottom. Enrichment scores for the pathways are shown on the right. d Interaction analysis of clusters was performed to evaluate spatial enrichment expression programs as suggested by clustering analysis in space. Positive enrichment values (orange) indicate spots belonging to these clusters are more likely to be neighboring, while negative enrichment values (blue) indicate spots associated with these expression programs are less likely to be neighboring. Clusters without significant enrichment in each other’s neighborhoods are shown in white. e Visium clusters were imposed on spatial positions and annotated according to spatial expression features. Sections of the investigated conditions are divided for ease of inspection as in ( b ), with the top panel comprising SGC sections across 12–38 hpi and the bottom panel comprising P. berghei infected sections across 12–38 hpi.
Protein Chip, supplied by GenTel BioSurfaces, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Seramun Inc seraspot ® anti-sars-cov-2 igg
a Schematic representation of the experimental design of this study. Livers were collected at 12, 24, or 38 h post infection (hpi) with P. berghei parasites or salivary gland lysate of uninfected mosquitoes (SGC) (left). Immunofluorescence (IF) staining of the parasite, spatial <t>transcriptomics</t> (ST) or 10X visium spatial technology protocols, and droplet-based single-nuclei RNA sequencing (snRNA-seq) were performed (center). Both data were further analyzed computationally (right). IHS stands for immune hotspot. b After dimensionality reduction, the normalized and batch-corrected data were embedded in UMAP space and split by the original condition for visualization. Data from SGC sections are shown on the top from 12 to 38 hpi (left to right) and data from P. berghei - infected sections are shown on the bottom from 12 to 38 hpi (left to right). Clusters with an obvious association to infection conditions are highlighted with gray boxes. c For identified clusters ST10 and ST11, differential gene expression analysis (DGEA) was performed, followed by functional enrichment analysis for each cluster (see Methods for details). Overrepresented pathways of the KEGG database for ST10 are shown in rose and for ST11 in aquamarine. Scales for expression values of overrepresented genes belonging to the individual KEGG pathways are shown for ST11 (left) or ST10 (right), from high expression (dark) to lower expression (light). Selected gene names are shown at the bottom. Enrichment scores for the pathways are shown on the right. d Interaction analysis of clusters was performed to evaluate spatial enrichment expression programs as suggested by clustering analysis in space. Positive enrichment values (orange) indicate spots belonging to these clusters are more likely to be neighboring, while negative enrichment values (blue) indicate spots associated with these expression programs are less likely to be neighboring. Clusters without significant enrichment in each other’s neighborhoods are shown in white. e Visium clusters were imposed on spatial positions and annotated according to spatial expression features. Sections of the investigated conditions are divided for ease of inspection as in ( b ), with the top panel comprising SGC sections across 12–38 hpi and the bottom panel comprising P. berghei infected sections across 12–38 hpi.
Seraspot ® Anti Sars Cov 2 Igg, supplied by Seramun Inc, 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/result/seraspot ® anti-sars-cov-2 igg/product/Seramun Inc
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Fluorous Technologies fluorous microarrays
Fluorous-mediated purification, immobilization, and characterization. A) Fluorous mixture synthesis. Substrates (S) modified with fluorous tags of different chain lengths can be mixed for reaction sequences to form fluorous-tagged products (P), which can be unmixed by solid-phase fluorous (FSPE). B) Fluorous tagging of proteins and separation of fluorous-tagged peptide fragments by FSPE. C) Fluorous <t>microarrays</t> for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.
Fluorous Microarrays, supplied by Fluorous Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Illumina Inc hybridization-based microarrays
Fluorous-mediated purification, immobilization, and characterization. A) Fluorous mixture synthesis. Substrates (S) modified with fluorous tags of different chain lengths can be mixed for reaction sequences to form fluorous-tagged products (P), which can be unmixed by solid-phase fluorous (FSPE). B) Fluorous tagging of proteins and separation of fluorous-tagged peptide fragments by FSPE. C) Fluorous <t>microarrays</t> for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.
Hybridization Based Microarrays, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Illumina Inc high-density silica bead-based microarray
Fluorous-mediated purification, immobilization, and characterization. A) Fluorous mixture synthesis. Substrates (S) modified with fluorous tags of different chain lengths can be mixed for reaction sequences to form fluorous-tagged products (P), which can be unmixed by solid-phase fluorous (FSPE). B) Fluorous tagging of proteins and separation of fluorous-tagged peptide fragments by FSPE. C) Fluorous <t>microarrays</t> for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.
High Density Silica Bead Based Microarray, supplied by Illumina Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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PreventionGenetics llc custom designed, oligo-based array comparative genomic hybridization microarray for large
Fluorous-mediated purification, immobilization, and characterization. A) Fluorous mixture synthesis. Substrates (S) modified with fluorous tags of different chain lengths can be mixed for reaction sequences to form fluorous-tagged products (P), which can be unmixed by solid-phase fluorous (FSPE). B) Fluorous tagging of proteins and separation of fluorous-tagged peptide fragments by FSPE. C) Fluorous <t>microarrays</t> for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.
Custom Designed, Oligo Based Array Comparative Genomic Hybridization Microarray For Large, supplied by PreventionGenetics llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Kinexus Bioinformatics Corporation antibody microarray-based kinome analysis
Fluorous-mediated purification, immobilization, and characterization. A) Fluorous mixture synthesis. Substrates (S) modified with fluorous tags of different chain lengths can be mixed for reaction sequences to form fluorous-tagged products (P), which can be unmixed by solid-phase fluorous (FSPE). B) Fluorous tagging of proteins and separation of fluorous-tagged peptide fragments by FSPE. C) Fluorous <t>microarrays</t> for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.
Antibody Microarray Based Kinome Analysis, supplied by Kinexus Bioinformatics Corporation, 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/result/antibody microarray-based kinome analysis/product/Kinexus Bioinformatics Corporation
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Biacore microarray-based assay platform
Fluorous-mediated purification, immobilization, and characterization. A) Fluorous mixture synthesis. Substrates (S) modified with fluorous tags of different chain lengths can be mixed for reaction sequences to form fluorous-tagged products (P), which can be unmixed by solid-phase fluorous (FSPE). B) Fluorous tagging of proteins and separation of fluorous-tagged peptide fragments by FSPE. C) Fluorous <t>microarrays</t> for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.
Microarray Based Assay Platform, supplied by Biacore, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Patients are screened for I-SPY 2 eligibility. Eligible patients are adaptively randomized to 12 weekly paclitaxel (and trastuzumab if HER2+) cycles (control) or in combination with one of several experimental agents followed by doxorubicin/cyclophosphamide (AC) × 4, with serial biomarkers (biopsies, blood draw and MRI scans) assessed over the course of their therapy. Only patients with HER2− disease were randomized to the veliparib/carboplatin arm.

Journal: The New England journal of medicine

Article Title: Adaptive Randomization of Veliparib–Carboplatin Treatment in Breast Cancer

doi: 10.1056/NEJMoa1513749

Figure Lengend Snippet: Patients are screened for I-SPY 2 eligibility. Eligible patients are adaptively randomized to 12 weekly paclitaxel (and trastuzumab if HER2+) cycles (control) or in combination with one of several experimental agents followed by doxorubicin/cyclophosphamide (AC) × 4, with serial biomarkers (biopsies, blood draw and MRI scans) assessed over the course of their therapy. Only patients with HER2− disease were randomized to the veliparib/carboplatin arm.

Article Snippet: Biomarker assessments include the Agendia 70-gene MammaPrint and TargetPrint HER2 gene expression using the Agendia 44K full genome microarray and reverse phase phosphoprotein array.

Techniques:

Only patients with HER2-negative disease were eligible for randomization to the VC arm. Patients were categorized as received allocated invention if they received at least one dose of experimental (or control) therapy.

Journal: The New England journal of medicine

Article Title: Adaptive Randomization of Veliparib–Carboplatin Treatment in Breast Cancer

doi: 10.1056/NEJMoa1513749

Figure Lengend Snippet: Only patients with HER2-negative disease were eligible for randomization to the VC arm. Patients were categorized as received allocated invention if they received at least one dose of experimental (or control) therapy.

Article Snippet: Biomarker assessments include the Agendia 70-gene MammaPrint and TargetPrint HER2 gene expression using the Agendia 44K full genome microarray and reverse phase phosphoprotein array.

Techniques:

Estimated pCR Rate for the signatures evaluated for V/C vs. concurrent HER2-negative control.

Journal: The New England journal of medicine

Article Title: Adaptive Randomization of Veliparib–Carboplatin Treatment in Breast Cancer

doi: 10.1056/NEJMoa1513749

Figure Lengend Snippet: Estimated pCR Rate for the signatures evaluated for V/C vs. concurrent HER2-negative control.

Article Snippet: Biomarker assessments include the Agendia 70-gene MammaPrint and TargetPrint HER2 gene expression using the Agendia 44K full genome microarray and reverse phase phosphoprotein array.

Techniques: Negative Control

Final predictive probabilities

Journal: The New England journal of medicine

Article Title: Adaptive Randomization of Veliparib–Carboplatin Treatment in Breast Cancer

doi: 10.1056/NEJMoa1513749

Figure Lengend Snippet: Final predictive probabilities

Article Snippet: Biomarker assessments include the Agendia 70-gene MammaPrint and TargetPrint HER2 gene expression using the Agendia 44K full genome microarray and reverse phase phosphoprotein array.

Techniques:

Selected Toxicities

Journal: The New England journal of medicine

Article Title: Adaptive Randomization of Veliparib–Carboplatin Treatment in Breast Cancer

doi: 10.1056/NEJMoa1513749

Figure Lengend Snippet: Selected Toxicities

Article Snippet: Biomarker assessments include the Agendia 70-gene MammaPrint and TargetPrint HER2 gene expression using the Agendia 44K full genome microarray and reverse phase phosphoprotein array.

Techniques:

a Schematic representation of the experimental design of this study. Livers were collected at 12, 24, or 38 h post infection (hpi) with P. berghei parasites or salivary gland lysate of uninfected mosquitoes (SGC) (left). Immunofluorescence (IF) staining of the parasite, spatial transcriptomics (ST) or 10X visium spatial technology protocols, and droplet-based single-nuclei RNA sequencing (snRNA-seq) were performed (center). Both data were further analyzed computationally (right). IHS stands for immune hotspot. b After dimensionality reduction, the normalized and batch-corrected data were embedded in UMAP space and split by the original condition for visualization. Data from SGC sections are shown on the top from 12 to 38 hpi (left to right) and data from P. berghei - infected sections are shown on the bottom from 12 to 38 hpi (left to right). Clusters with an obvious association to infection conditions are highlighted with gray boxes. c For identified clusters ST10 and ST11, differential gene expression analysis (DGEA) was performed, followed by functional enrichment analysis for each cluster (see Methods for details). Overrepresented pathways of the KEGG database for ST10 are shown in rose and for ST11 in aquamarine. Scales for expression values of overrepresented genes belonging to the individual KEGG pathways are shown for ST11 (left) or ST10 (right), from high expression (dark) to lower expression (light). Selected gene names are shown at the bottom. Enrichment scores for the pathways are shown on the right. d Interaction analysis of clusters was performed to evaluate spatial enrichment expression programs as suggested by clustering analysis in space. Positive enrichment values (orange) indicate spots belonging to these clusters are more likely to be neighboring, while negative enrichment values (blue) indicate spots associated with these expression programs are less likely to be neighboring. Clusters without significant enrichment in each other’s neighborhoods are shown in white. e Visium clusters were imposed on spatial positions and annotated according to spatial expression features. Sections of the investigated conditions are divided for ease of inspection as in ( b ), with the top panel comprising SGC sections across 12–38 hpi and the bottom panel comprising P. berghei infected sections across 12–38 hpi.

Journal: Nature Communications

Article Title: Host-pathogen interactions in the Plasmodium -infected mouse liver at spatial and single-cell resolution

doi: 10.1038/s41467-024-51418-2

Figure Lengend Snippet: a Schematic representation of the experimental design of this study. Livers were collected at 12, 24, or 38 h post infection (hpi) with P. berghei parasites or salivary gland lysate of uninfected mosquitoes (SGC) (left). Immunofluorescence (IF) staining of the parasite, spatial transcriptomics (ST) or 10X visium spatial technology protocols, and droplet-based single-nuclei RNA sequencing (snRNA-seq) were performed (center). Both data were further analyzed computationally (right). IHS stands for immune hotspot. b After dimensionality reduction, the normalized and batch-corrected data were embedded in UMAP space and split by the original condition for visualization. Data from SGC sections are shown on the top from 12 to 38 hpi (left to right) and data from P. berghei - infected sections are shown on the bottom from 12 to 38 hpi (left to right). Clusters with an obvious association to infection conditions are highlighted with gray boxes. c For identified clusters ST10 and ST11, differential gene expression analysis (DGEA) was performed, followed by functional enrichment analysis for each cluster (see Methods for details). Overrepresented pathways of the KEGG database for ST10 are shown in rose and for ST11 in aquamarine. Scales for expression values of overrepresented genes belonging to the individual KEGG pathways are shown for ST11 (left) or ST10 (right), from high expression (dark) to lower expression (light). Selected gene names are shown at the bottom. Enrichment scores for the pathways are shown on the right. d Interaction analysis of clusters was performed to evaluate spatial enrichment expression programs as suggested by clustering analysis in space. Positive enrichment values (orange) indicate spots belonging to these clusters are more likely to be neighboring, while negative enrichment values (blue) indicate spots associated with these expression programs are less likely to be neighboring. Clusters without significant enrichment in each other’s neighborhoods are shown in white. e Visium clusters were imposed on spatial positions and annotated according to spatial expression features. Sections of the investigated conditions are divided for ease of inspection as in ( b ), with the top panel comprising SGC sections across 12–38 hpi and the bottom panel comprising P. berghei infected sections across 12–38 hpi.

Article Snippet: In this study, we use a combination of the original Spatial Transcriptomics 2K arrays , (henceforth referred to as ST) and Visium arrays (10X Genomics Inc.) .

Techniques: Infection, Immunofluorescence, Staining, RNA Sequencing, Gene Expression, Functional Assay, Expressing

Fluorous-mediated purification, immobilization, and characterization. A) Fluorous mixture synthesis. Substrates (S) modified with fluorous tags of different chain lengths can be mixed for reaction sequences to form fluorous-tagged products (P), which can be unmixed by solid-phase fluorous (FSPE). B) Fluorous tagging of proteins and separation of fluorous-tagged peptide fragments by FSPE. C) Fluorous microarrays for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.

Journal: Chembiochem : a European journal of chemical biology

Article Title: Perfluorocarbons in Chemical Biology

doi: 10.1002/cbic.202000297

Figure Lengend Snippet: Fluorous-mediated purification, immobilization, and characterization. A) Fluorous mixture synthesis. Substrates (S) modified with fluorous tags of different chain lengths can be mixed for reaction sequences to form fluorous-tagged products (P), which can be unmixed by solid-phase fluorous (FSPE). B) Fluorous tagging of proteins and separation of fluorous-tagged peptide fragments by FSPE. C) Fluorous microarrays for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.

Article Snippet: C) Fluorous microarrays for immobilization of fluorous-tagged carbohydrates and studying carbohydrate-binding.

Techniques: Purification, Modification, Binding Assay