data processing & analysis of brain imaging software package Search Results


99
Transnetyx pcr genotyping
Pcr Genotyping, supplied by Transnetyx, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/pcr genotyping/product/Transnetyx
Average 99 stars, based on 1 article reviews
pcr genotyping - by Bioz Stars, 2026-06
99/100 stars
  Buy from Supplier

94
KCAS Bioanalytical and Biomarker Services biomarkers limonene
Biomarkers Limonene, supplied by KCAS Bioanalytical and Biomarker Services, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/biomarkers limonene/product/KCAS Bioanalytical and Biomarker Services
Average 94 stars, based on 1 article reviews
biomarkers limonene - by Bioz Stars, 2026-06
94/100 stars
  Buy from Supplier

86
Finnigan Corporation gcq data processing
Gcq Data Processing, supplied by Finnigan Corporation, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/gcq data processing/product/Finnigan Corporation
Average 86 stars, based on 1 article reviews
gcq data processing - by Bioz Stars, 2026-06
86/100 stars
  Buy from Supplier

93
KCAS Bioanalytical and Biomarker Services hybrid immunocapture lc ms ms
Hybrid Immunocapture Lc Ms Ms, supplied by KCAS Bioanalytical and Biomarker Services, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/hybrid immunocapture lc ms ms/product/KCAS Bioanalytical and Biomarker Services
Average 93 stars, based on 1 article reviews
hybrid immunocapture lc ms ms - by Bioz Stars, 2026-06
93/100 stars
  Buy from Supplier

99
KCAS Bioanalytical and Biomarker Services kcas bio analytical
Kcas Bio Analytical, supplied by KCAS Bioanalytical and Biomarker Services, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/kcas bio analytical/product/KCAS Bioanalytical and Biomarker Services
Average 99 stars, based on 1 article reviews
kcas bio analytical - by Bioz Stars, 2026-06
99/100 stars
  Buy from Supplier

86
10X Genomics hashed 10x genomics scrna seq data processing
(a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory <t>scRNA-seq</t> dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.
Hashed 10x Genomics Scrna Seq Data Processing, supplied by 10X Genomics, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/hashed 10x genomics scrna seq data processing/product/10X Genomics
Average 86 stars, based on 1 article reviews
hashed 10x genomics scrna seq data processing - by Bioz Stars, 2026-06
86/100 stars
  Buy from Supplier

90
GeneCast Biotechnology Co Ltd bioinformatics data processing
(a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory <t>scRNA-seq</t> dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.
Bioinformatics Data Processing, supplied by GeneCast Biotechnology Co Ltd, 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/bioinformatics data processing/product/GeneCast Biotechnology Co Ltd
Average 90 stars, based on 1 article reviews
bioinformatics data processing - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
Verlag GmbH plastics processing data handbook
(a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory <t>scRNA-seq</t> dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.
Plastics Processing Data Handbook, supplied by Verlag 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/result/plastics processing data handbook/product/Verlag GmbH
Average 90 stars, based on 1 article reviews
plastics processing data handbook - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
JPK Instruments AG data processing software
(a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory <t>scRNA-seq</t> dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.
Data Processing Software, supplied by JPK Instruments AG, 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/data processing software/product/JPK Instruments AG
Average 90 stars, based on 1 article reviews
data processing software - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
JPK Instruments AG jpk data processing software
(a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory <t>scRNA-seq</t> dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.
Jpk Data Processing Software, supplied by JPK Instruments AG, 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/jpk data processing software/product/JPK Instruments AG
Average 90 stars, based on 1 article reviews
jpk data processing software - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
JPK Instruments AG jpkspm data processing software
(a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory <t>scRNA-seq</t> dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.
Jpkspm Data Processing Software, supplied by JPK Instruments AG, 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/jpkspm data processing software/product/JPK Instruments AG
Average 90 stars, based on 1 article reviews
jpkspm data processing software - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

90
SourceForge net software for controlling the two-photon microscope and preprocessing of the calcium imaging data
(a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory <t>scRNA-seq</t> dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.
Software For Controlling The Two Photon Microscope And Preprocessing Of The Calcium Imaging Data, supplied by SourceForge net, 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/software for controlling the two-photon microscope and preprocessing of the calcium imaging data/product/SourceForge net
Average 90 stars, based on 1 article reviews
software for controlling the two-photon microscope and preprocessing of the calcium imaging data - by Bioz Stars, 2026-06
90/100 stars
  Buy from Supplier

Image Search Results


(a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory scRNA-seq dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.

Journal: Nature Immunology

Article Title: Trimodal single-cell profiling reveals a novel pediatric CD8αα + T cell subset and broad age-related molecular reprogramming across the T cell compartment

doi: 10.1038/s41590-023-01641-8

Figure Lengend Snippet: (a) Heatmap of all differentially expression genes (DEGs) using Seurat’s FindAllMarkers function (parameters: logfc.threshold = 0.25, P < 0.05 determined by two-tailed Wilcoxon’s rank sum test) between CD4 T cell subsets in TEA-seq dataset. (b) Heatmap of all differentially accessible peaks using ArchR’s getMarkerFeatures (parameters: FDR< = 0.1, Log2FC ≥ 0.5) between CD4 T cell subsets in TEA-seq dataset. (c) Pseudo-bulk expression values from our confirmatory scRNA-seq dataset from pediatric (Ped), young adult (YA), and older adult naive CD4 T cells of select age-specific genes identified in TEA-seq. (d) Gene expression of SOX4, TOX, CPQ, and STAT4 in bulk-sorted naive CD4 T cells (CD3 + CD4 + CD8 neg CD45RA + CCR7 + CD27 + CD95 neg ) from newborn cord blood (n = 7 donors) and older adult peripheral blood (n = 6 donors) using qRT-PCR. Two-tailed Mann-Whitney test. * P < 0.05, **** P < 0.0001. In panels a–c, values have been scaled (z-score) per gene or peak.

Article Snippet: Hashed 10x Genomics scRNA-seq data processing was carried out using CellRanger (10x Genomics) and BarWare to generate sample-specific output files.

Techniques: Expressing, Two Tailed Test, Quantitative RT-PCR, MANN-WHITNEY

a , Heat map of the top 20 DEGs for each age group in individual true naive CD4 + T cells. For visualization, values are scaled ( z score) per gene. Exp, scaled expression. b , Dot plots of average pseudobulk gene expression for select transcripts in true naive CD4 + T cells separated by age ( n = 8 per group; P, pediatric; OA, older adult). The line indicates the median value. P values were determined by a two-tailed Mann–Whitney test. ** P = 0.0006, *** P = 0.0002. c , TF binding motif enrichment comparison between age groups in true naive CD4 + T cells. The P adj of enrichment was determined by hypergeometric testing. ETV1/ETV2, ETS translocation variant 1/2; NFATC3, nuclear factor of activated T cells, cytoplasmic 3; ATF3/ATF7, activating TF 3/7; TCFL5, TF-like 5 protein; CREM, cAMP-responsive element modulator; SPIB, Spi-B TF; SOX4/SOX10, SRY-box TF 4/10. d , ChromVar motif enrichment UMAP plots. Areas enriched for true naive CD4 + T cells in older adults (orange) and children (green) are outlined. dev, deviation. e , Overview of the scRNA-seq confirmatory cohort ( n = 16 per age group). f , RNA-based UMAP plot of naive CD4 + T cells from the confirmatory cohort. g , Average pseudobulk expression of select signature genes in the naive CD4 + T cell subset for each donor across all age groups, including an external cord blood ( n = 3) dataset. Best-fit lines with 95% confidence intervals are shown. AvgExp, average expression.

Journal: Nature Immunology

Article Title: Trimodal single-cell profiling reveals a novel pediatric CD8αα + T cell subset and broad age-related molecular reprogramming across the T cell compartment

doi: 10.1038/s41590-023-01641-8

Figure Lengend Snippet: a , Heat map of the top 20 DEGs for each age group in individual true naive CD4 + T cells. For visualization, values are scaled ( z score) per gene. Exp, scaled expression. b , Dot plots of average pseudobulk gene expression for select transcripts in true naive CD4 + T cells separated by age ( n = 8 per group; P, pediatric; OA, older adult). The line indicates the median value. P values were determined by a two-tailed Mann–Whitney test. ** P = 0.0006, *** P = 0.0002. c , TF binding motif enrichment comparison between age groups in true naive CD4 + T cells. The P adj of enrichment was determined by hypergeometric testing. ETV1/ETV2, ETS translocation variant 1/2; NFATC3, nuclear factor of activated T cells, cytoplasmic 3; ATF3/ATF7, activating TF 3/7; TCFL5, TF-like 5 protein; CREM, cAMP-responsive element modulator; SPIB, Spi-B TF; SOX4/SOX10, SRY-box TF 4/10. d , ChromVar motif enrichment UMAP plots. Areas enriched for true naive CD4 + T cells in older adults (orange) and children (green) are outlined. dev, deviation. e , Overview of the scRNA-seq confirmatory cohort ( n = 16 per age group). f , RNA-based UMAP plot of naive CD4 + T cells from the confirmatory cohort. g , Average pseudobulk expression of select signature genes in the naive CD4 + T cell subset for each donor across all age groups, including an external cord blood ( n = 3) dataset. Best-fit lines with 95% confidence intervals are shown. AvgExp, average expression.

Article Snippet: Hashed 10x Genomics scRNA-seq data processing was carried out using CellRanger (10x Genomics) and BarWare to generate sample-specific output files.

Techniques: Expressing, Two Tailed Test, MANN-WHITNEY, Binding Assay, Comparison, Translocation Assay, Variant Assay

a , Identification of subsets within CD8 + CD27 + CD197 + CD45RA + T cells through a trimodal analysis, shown in a 3WNN UMAP plot with the true naive, SCM, MNP-1, MNP-2 and MAIT subsets colored. b , Expression of select RNA and ADT cell type markers, shown in 3WNN UMAP plots. The modality of detection is indicated in square brackets. Density, gene-weighted 2D kernel density. c , Chromatin accessibility tracks of the IFNG gene region in naive CD8 + T cell subsets, showing normalized read coverage. d , Bar plot (median value shown) of the frequencies of naive CD8 + T cell subsets within the overall naive CD8 + compartment by age group ( n = 8 per group). P values were determined by a two-tailed Mann–Whitney test with the Holm–Sidak multiple-comparison method. * P < 0.05 ( P = 0.02), ** P < 0.01 ( P = 0.003), *** P < 0.001 ( P = 0.0008). e , Age-specific composition of the non-naive compartment found within naive CD8 + T cells. f , 3WNN UMAP plot of all T cells overlaid with naive CD8 + T cell subsets and separated by age. Only cells from the naive CD8 + T cell compartment of children (left) or adults (right) are colored; all other cells are gray. g , Comparison of differential chromatin accessibility across all CD8 + T cell subsets (24,874 features). For visualization, all values are scaled ( z score) per differential region. h , Dot plot of select DEGs across naive CD8 + T cell subsets. The size of points corresponds to the fraction of cells expressing each gene; color corresponds to average expression. AvgExp, scaled average expression. i , Identification of the MNP-2 subset through gene expression profiling in the scRNA-seq confirmatory cohort. Density, gene-weighted 2D kernel density. j , MNP-2 subset frequencies within the total T cells across all age groups including an external cord blood ( n = 3) dataset.

Journal: Nature Immunology

Article Title: Trimodal single-cell profiling reveals a novel pediatric CD8αα + T cell subset and broad age-related molecular reprogramming across the T cell compartment

doi: 10.1038/s41590-023-01641-8

Figure Lengend Snippet: a , Identification of subsets within CD8 + CD27 + CD197 + CD45RA + T cells through a trimodal analysis, shown in a 3WNN UMAP plot with the true naive, SCM, MNP-1, MNP-2 and MAIT subsets colored. b , Expression of select RNA and ADT cell type markers, shown in 3WNN UMAP plots. The modality of detection is indicated in square brackets. Density, gene-weighted 2D kernel density. c , Chromatin accessibility tracks of the IFNG gene region in naive CD8 + T cell subsets, showing normalized read coverage. d , Bar plot (median value shown) of the frequencies of naive CD8 + T cell subsets within the overall naive CD8 + compartment by age group ( n = 8 per group). P values were determined by a two-tailed Mann–Whitney test with the Holm–Sidak multiple-comparison method. * P < 0.05 ( P = 0.02), ** P < 0.01 ( P = 0.003), *** P < 0.001 ( P = 0.0008). e , Age-specific composition of the non-naive compartment found within naive CD8 + T cells. f , 3WNN UMAP plot of all T cells overlaid with naive CD8 + T cell subsets and separated by age. Only cells from the naive CD8 + T cell compartment of children (left) or adults (right) are colored; all other cells are gray. g , Comparison of differential chromatin accessibility across all CD8 + T cell subsets (24,874 features). For visualization, all values are scaled ( z score) per differential region. h , Dot plot of select DEGs across naive CD8 + T cell subsets. The size of points corresponds to the fraction of cells expressing each gene; color corresponds to average expression. AvgExp, scaled average expression. i , Identification of the MNP-2 subset through gene expression profiling in the scRNA-seq confirmatory cohort. Density, gene-weighted 2D kernel density. j , MNP-2 subset frequencies within the total T cells across all age groups including an external cord blood ( n = 3) dataset.

Article Snippet: Hashed 10x Genomics scRNA-seq data processing was carried out using CellRanger (10x Genomics) and BarWare to generate sample-specific output files.

Techniques: Expressing, Two Tailed Test, MANN-WHITNEY, Comparison

a , Overview of a fixed CITE-seq experiment ( n = 4 pediatric donors) for TCR stimulation. b , RNA-based UMAP plot of unstimulated, anti-CD3/anti-CD28 (TCR; 0.5:1 beads per cell)-stimulated and PMA/iono (PMA 50 ng ml −1 , iono 1 μg ml −1 )-stimulated pediatric CD8 + T cells. Stimulated subsets are indicated with the stimulation condition. c , Comparison of DEGs across each subset of unstimulated, TCR-stimulated and PMA/iono-stimulated CD8 + T cells. d , Violin plots of the single-cell expression of select effector genes for naive, MNP-2 and memory CD8 + T cells before and after stimulation with TCR and PMA/iono. e , Expression density of select RNA and ADT cell type markers, shown in UMAP plots of PMA/iono-stimulated and unstimulated cells. The modality of detection is indicated in square brackets. Density, gene-weighted 2D kernel density; exp, average expression level. f , Overview of an external pediatric MIS-C scRNA-seq dataset used for MNP-2 cell identification and frequency comparison. g , Frequency of MNP-2 cells in the total peripheral T cells of healthy children ( n = 6), children with active MIS-C ( n = 7) and children who had recovered from MIS-C ( n = 2).

Journal: Nature Immunology

Article Title: Trimodal single-cell profiling reveals a novel pediatric CD8αα + T cell subset and broad age-related molecular reprogramming across the T cell compartment

doi: 10.1038/s41590-023-01641-8

Figure Lengend Snippet: a , Overview of a fixed CITE-seq experiment ( n = 4 pediatric donors) for TCR stimulation. b , RNA-based UMAP plot of unstimulated, anti-CD3/anti-CD28 (TCR; 0.5:1 beads per cell)-stimulated and PMA/iono (PMA 50 ng ml −1 , iono 1 μg ml −1 )-stimulated pediatric CD8 + T cells. Stimulated subsets are indicated with the stimulation condition. c , Comparison of DEGs across each subset of unstimulated, TCR-stimulated and PMA/iono-stimulated CD8 + T cells. d , Violin plots of the single-cell expression of select effector genes for naive, MNP-2 and memory CD8 + T cells before and after stimulation with TCR and PMA/iono. e , Expression density of select RNA and ADT cell type markers, shown in UMAP plots of PMA/iono-stimulated and unstimulated cells. The modality of detection is indicated in square brackets. Density, gene-weighted 2D kernel density; exp, average expression level. f , Overview of an external pediatric MIS-C scRNA-seq dataset used for MNP-2 cell identification and frequency comparison. g , Frequency of MNP-2 cells in the total peripheral T cells of healthy children ( n = 6), children with active MIS-C ( n = 7) and children who had recovered from MIS-C ( n = 2).

Article Snippet: Hashed 10x Genomics scRNA-seq data processing was carried out using CellRanger (10x Genomics) and BarWare to generate sample-specific output files.

Techniques: Comparison, Expressing