CD4+CLA+CD103+ T cells from human blood and skin share a transcriptional profile. CD4+CLA+CD103+ T cells from human blood and skin share a transcriptional.

Slides:



Advertisements
Similar presentations
High-dimensional analysis of lymphoid CD4+ T cells identified distinct TFH cell subsets in HIV+ patients and HCs. High-dimensional analysis of lymphoid.
Advertisements

Identification of combination treatment–responsive dysfunctional tumor-infiltrating CD8+ T cell population. Identification of combination treatment–responsive.
Clonal bias of CD56−CD16+ NK cell subpopulations.
Splenic CD169+ macrophages express a unique gene profile.
Tfr cells’ transcriptomic profile distinguishes them from Treg and Tfh cells. Tfr cells’ transcriptomic profile distinguishes them from Treg and Tfh cells.
Improvement in the transcriptional activity of FOXP3A384T by enhancement of TIP60-FOXP3 interaction. Improvement in the transcriptional activity of FOXP3A384T.
Identification of gene modules that predict vaccination response in young or older individuals. Identification of gene modules that predict vaccination.
AZA treatment induces a distinct gene-expression pattern in stromal cells. AZA treatment induces a distinct gene-expression pattern in stromal cells. (A-C)
Human cells produce type I and III IFNs upon Af stimulation.
Donor and recipient BAL T cells are phenotypically and functionally memory T cells. Donor and recipient BAL T cells are phenotypically and functionally.
Differential expression of TRM markers by donor- and recipient-derived T cells with time. Differential expression of TRM markers by donor- and recipient-derived.
Fig. 7 Correlation of NHP and human ISGs.
IL-10R-deficient macrophages secrete IL-23, inducing IL-22 secretion by ILC3 and TH17 cells. IL-10R-deficient macrophages secrete IL-23, inducing IL-22.
Fig. 5 Correlation of RNA expression and protein abundance.
Neutrophil depletion ameliorates colitis in Cx3cr1cre:Il10rafl/fl BM chimeras. Neutrophil depletion ameliorates colitis in Cx3cr1cre:Il10rafl/fl BM chimeras.
PD-L1 selectively marks circulating NCMs.
Fig. 1 TET2 is a coactivator of ERα.
Fig. 6 Integration of responsiveness to nutrient restriction determines quantitative impact of MTAP deletion on global metabolic networks. Integration.
Fig. 3 Responsiveness to alterations in other one-carbon nutrient availability is largely MTAP status independent. Responsiveness to alterations in other.
Variable number of CD4-CTL precursors across donors.
CD4-CTL precursor cells in the TEMRA subset.
CD4-TEMRA cells are heterogeneous across donors.
BAP1 is required for homeostatic and antigen-driven expansion of peripheral T cells. BAP1 is required for homeostatic and antigen-driven expansion of peripheral.
Fig. 2 E2F1 affects alternative splicing of E2F target genes.
Fig. 5 MTAP status remains nonpredictive of responsiveness to nutrient restriction in a panel of tissue-matched cell lines. MTAP status remains nonpredictive.
CD4+CLA+CD103+ T cells in skin and blood are clonally related.
Fig. 1 meR marks on E2F1 confer genome-wide effects.
CD4+CLA+CD103+ T cells constitute a unique cell population in human blood. CD4+CLA+CD103+ T cells constitute a unique cell population in human blood. (A)
Fig. 2 IT1t prevents TLR7-mediated inflammation in pDCs.
Ligands eluted from hpMR1+EC and hpMR1+MS contain both shared and unique ions. Ligands eluted from hpMR1+EC and hpMR1+MS contain both shared and unique.
Effects of NAT10 inhibition or depletion on gene expression.
CD4+CLA+CD103+T cells from human blood and skin share a functional profile. CD4+CLA+CD103+T cells from human blood and skin share a functional profile.
Shared phenotype of CD4+CLA+CD103+ T cells from human blood and skin.
Fig. 1 Product lifetime distributions for the eight industrial use sectors plotted as log-normal probability distribution functions (PDF). Product lifetime.
CD25 expression identifies two transcriptionally distinct subsets of very early effector cells. CD25 expression identifies two transcriptionally distinct.
Fig. 5. Vitamin B12 supplementation in the host altered the transcriptome of P. acnes in the skin microbiota. Vitamin B12 supplementation in the host altered.
Fig. 5 Transcriptional changes in dKO mice after HFD regimen.
Loss of BAP1 blocks T cell differentiation at the DN3 stage in vitro.
Fig. 1 Inbred mouse strains carrying monoclonal tumors display a symmetrical yet disparate response to ICB, associated with a distinctive gene signature.
BMS blocks functional responses in primary immune cells driven by IFNα
Fig. 2 HRI depletion elevates γ-globin in HUDEP2 cells.
Fig. 4 Loss of Zic5 derepresses GLUT1/SLC2A1 gene expression.
Fig. 3 The rs risk enhancer is a hub for intrachromosomal and interchromosomal interactions. The rs risk enhancer is a hub for intrachromosomal.
Fig. 1 Genes up-regulated in Zic5 KO cells correlate with the increased glycolytic state. Genes up-regulated in Zic5 KO cells correlate with the increased.
Fig. 2 Expressions of cll, abd-A, and Abd-B by qRT-PCR.
Fig. 4 Control analyses ensured that the relation between rotational acceleration and changes in FA does not depend on thresholds. Control analyses ensured.
Fig. 4 DEGs in the skin and the blood of P. leucopus with or without B
Fig. 1 A time-course RNA-seq analysis reveals prominent IRF8 expression in the spinal cord during the recovery phase after SCI. A time-course RNA-seq analysis.
Human Tfr cells do not express CD25.
Fig. 4 Bcl11b regulates expression of key Treg cell genes while suppressing inflammatory and innate genes. Bcl11b regulates expression of key Treg cell.
Fig. 3 Transcriptional changes in dKO mice.
Partial alteration of the Treg gene signature by the p.A384T mutation.
Fig. 2 The sex-linked mbt proteome.
Integrated pathogen load and dual transcriptome analysis of systemic host-pathogen interactions in severe malaria by Hyun Jae Lee, Athina Georgiadou, Michael.
Fig. 1 OVA-releasing scaffolds concentrate OVA-specific CD4+T cells following ischemic injury. OVA-releasing scaffolds concentrate OVA-specific CD4+T cells.
Fig. 4 Differential histone modifications at promoters in various brain cell populations. Differential histone modifications at promoters in various brain.
Analysis of A-to-I RNA edits found in transcriptome-wide RNA-seq
Tregs preferentially regulate TH2 cytokines in skin.
UNC drives MYC protein loss.
Fig. 2 Tissue-specific transcriptomic alterations in response to acute sleep loss in healthy humans. Tissue-specific transcriptomic alterations in response.
miR-146a is highly expressed selectively on γδ27− T cells.
Selected charts associated with our response to Rolfs et al
Fig. 5 Foxp3 promotes functional recruitment of Bcl11b in Treg cells.
REV-ERBα deficiency alters the epigenetic landscape and differentially affects clock gene expression in ILC3 subsets. REV-ERBα deficiency alters the epigenetic.
Circadian gene expression in ILC3s is associated with rhythmic cytokine expression. Circadian gene expression in ILC3s is associated with rhythmic cytokine.
Fig. 8 Immune correlates of protection.
Fig. 3 Gene expression analysis in 48-plex drug treatment experiments.
Fig. 2 Combined transcriptome profiling, ChIP-seq, and ATAC-seq analysis identifies 14 highly plausible direct targets of Runx. Combined transcriptome.
Fig. 5 Enhancers and super-enhancers identified in various brain cell populations. Enhancers and super-enhancers identified in various brain cell populations.
Cxxc1-deficient TH17 cells exhibit a Treg cell–like expression profile
Presentation transcript:

CD4+CLA+CD103+ T cells from human blood and skin share a transcriptional profile. CD4+CLA+CD103+ T cells from human blood and skin share a transcriptional profile. Whole-transcriptome profiling by RNA-seq was performed on sorted CLA+ T cell subsets from blood or skin. (A) Venn diagram showing the number of significantly differentially expressed genes [FDR < 0.05 and log2 fold change (FC) > 1] between CLA+CD103+ T cells and either CLA+CD103−CCR7+ or CLA+CD103−CCR7− T cells as indicated. The overlapping 83 genes were designated as the CD103+ gene signature. (B) Barcode plot showing the distribution of the CD103+ signature genes (red, up-regulated in CD103+; blue, down-regulated in CD103+) relative to gene expression changes comparing CD103+ and CD103−CCR7− T cells from the blood or skin as indicated. Significance was determined by rotation gene set testing for linear models. (C) Heat map and hierarchical clustering of RNA-seq samples from the indicated blood and skin cell populations based on the CD103+ gene signature. (D) Venn diagram showing functional annotation of key genes up- or down-regulated by CLA+CD103+ T cells in blood or skin identified in our phenotypic, functional, and transcriptional analyses. Category names were assigned on the basis of described functions of the indicated genes in the published literature. Underlined gene names indicate proteins whose expression pattern was validated by flow cytometry in Figs. 3 and 5. Maria M. Klicznik et al. Sci. Immunol. 2019;4:eaav8995 Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works