Distinct subtypes of CAFs are detected in human PDAC

Slides:



Advertisements
Similar presentations
Raw data VS. Residual value
Advertisements

Volume 21, Issue 11, Pages (December 2017)
BCR–ABL1 B-ALLs feature DNA methylation and expression signatures centered aroundIL2RA(CD25). BCR–ABL1 B-ALLs feature DNA methylation and expression signatures.
Tracking CD40 signaling during germinal center development
Motif detectability corresponds to the phylogenetic profile of the cognate transcription factor. Motif detectability corresponds to the phylogenetic profile.
Volume 2, Issue 4, Pages (April 2008)
HIS-24 regulates expression of infection-inducible genes.
OTX2 is associated with higher levels of activity when paired with NEUROD1 and arranged in clusters. OTX2 is associated with higher levels of activity.
LincRNAs expressed in specific subpopulations of mESCs and NPCs.
Revealing Global Regulatory Perturbations across Human Cancers
Patient neural progenitors show a neurodevelopmental phenotype.
Volume 68, Issue 5, Pages e7 (December 2017)
Volume 7, Issue 3, Pages (September 2016)
Volume 21, Issue 11, Pages (December 2017)
Volume 24, Issue 12, Pages e5 (September 2018)
Enrichment of members of KEGG Orthology (KOs) families across MBTA surfaces before and after P. acnes removal. Enrichment of members of KEGG Orthology.
Revealing Global Regulatory Perturbations across Human Cancers
Genome-wide analysis of p53 occupancy.
Cluster analysis and pathway-based characterization of differentially expressed genes and proteins from integrated proteomics. Cluster analysis and pathway-based.
Genome-wide promoter methylation of hairy cell leukemia
The BRD4 bromodomain is critical for expression of SASP genes.
K-Means clustering of protein and mRNA expression patterns after PPAR agonists treatments. k-Means clustering of protein and mRNA expression patterns after.
Bar plot representation of the transcriptomic changes in Δsaci_ptp and Δsaci_pp2a. Bar plot representation of the transcriptomic changes in Δsaci_ptp and.
Volume 29, Issue 5, Pages (May 2016)
Down-regulation of LATS1 promotes the formation of tumors enriched in basal-like features. Down-regulation of LATS1 promotes the formation of tumors enriched.
Overlap between changes in de novo protein synthesis after p53- or miR-34a-induction. Overlap between changes in de novo protein synthesis after p53- or.
Brandon Ho, Anastasia Baryshnikova, Grant W. Brown  Cell Systems 
Intestinal differentiation is coupled with global rewiring of gene expression Intestinal differentiation is coupled with global rewiring of gene expression.
Volume 25, Issue 6, Pages e3 (November 2018)
Maria S. Robles, Sean J. Humphrey, Matthias Mann  Cell Metabolism 
Fig. 3 Conserved genomic association of PRC1 activity in different leukemic cells. Conserved genomic association of PRC1 activity in different leukemic.
Comparison ofMyc-induced zebrafish liver tumors with different stages of human HCC and seven mouse HCC models. Comparison ofMyc-induced zebrafish liver.
Chd5 deficiency leads to compromised expression of the repressive histone mark H3K27me3 and up-regulation of ribosomal protein genes. Chd5 deficiency leads.
Analysis of renal transcriptome responses identifies LX-regulated transcriptional networks. Analysis of renal transcriptome responses identifies LX-regulated.
Reanalysis of an existing experiment using ADAGE
CD4-CTL precursor cells in the TEMRA subset.
CD4-TEMRA cells are heterogeneous across donors.
Extended analysis of differential expression datasets.
Single-cell atlas of lincRNA expression during mESC to NPC differentiation. Single-cell atlas of lincRNA expression during mESC to NPC differentiation.
Profiling of the TCRB-MYB cases by large-scale gene expression analysis. Profiling of the TCRB-MYB cases by large-scale gene expression analysis. (A) Heat.
Chd5-deficient NSCs generate excessive astrocytes at the expense of neurons. Chd5-deficient NSCs generate excessive astrocytes at the expense of neurons.
The CREBBP-modulated network is enriched in signaling pathways upregulated in the light zone (LZ). The CREBBP-modulated network is enriched in signaling.
Derivation of ImSig. Derivation of ImSig. A, An example of a correlation network generated from a tissue data set where nodes represent unique genes and.
Fig. 3 Transcriptional correlates of improved health in TRF
Fig. 4 Identification of C
A, unsupervised hierarchical clustering of the expression of probe sets differentially expressed in the oral mucosa of smokers versus never smokers. A,
Heat map of genes for which CR significantly altered expression versus AL. Cluster analysis of genes significantly changed by the CR intervention compared.
Genome-wide Functional Analysis Reveals Factors Needed at the Transition Steps of Induced Reprogramming  Chao-Shun Yang, Kung-Yen Chang, Tariq M. Rana 
Transcriptional and genomic targets of EN1 in TNBC cells.
EN1-associated chromatin complexes in breast cancer cells.
Specific DNA methylation and expression signatures associated with binding of E2A–PBX1 fusion protein. Specific DNA methylation and expression signatures.
Transcripts enriched and depleted in NB TICs compared with SKPs and other tumor tissues. Transcripts enriched and depleted in NB TICs compared with SKPs.
HPV–human protein network map.
SY-1425 shows similar response in RARA-high AML cell lines to APL
CREBBP loss-of-function results in gene expression repression signature. CREBBP loss-of-function results in gene expression repression signature. A–D,
Gene expression profiles of T cells.
Coexpression of other immune genes with ImSig core signatures.
High-risk neuroblastoma molecular subtypes classification and inference of master regulators. High-risk neuroblastoma molecular subtypes classification.
Single-cell analysis uncovers ductal cell subpopulations in human PDAC
Mutational signature analysis of WES data from patients with advanced PDAC. A, Projection of signatures representing four main mutational processes identified.
EZH2-driven lung cancer as a molecularly distinct entity.
Gene expression heatmap of non–T-cell-inflamed, intermediate, and T-cell–inflamed testicular germ cell tumors from TCGA. Genes are on the row, and samples.
Volume 27, Issue 7, Pages e4 (May 2019)
Driver pathways and key genes in OSCC
Integrated analysis of gene expression and copy number alterations.
Highly metastatic PDAC cells have a unique gene signature, which is not preserved in metastases but predicts poor patient outcome. Highly metastatic PDAC.
Transcriptome traits and clinical characteristics of TME phenotypes in the ACRG cohort. Transcriptome traits and clinical characteristics of TME phenotypes.
Volume 28, Issue 4, Pages e6 (July 2019)
Characteristic gene expression patterns distinguish LCH cells from other immune cells present in LCH lesions. Characteristic gene expression patterns distinguish.
Fig. 3 Gene expression analysis in 48-plex drug treatment experiments.
Presentation transcript:

Distinct subtypes of CAFs are detected in human PDAC Distinct subtypes of CAFs are detected in human PDAC. A, Reclustering of CAFs in the human data set (cluster 7 from Fig. 1B) represented as a t-SNE plot. Distinct subtypes of CAFs are detected in human PDAC. A, Reclustering of CAFs in the human data set (cluster 7 from Fig. 1B) represented as a t-SNE plot. B, Heat map showing scaled normalized expression of discriminative marker genes between the two subclusters, with cells as columns and genes as rows. Color scheme represents Z-score distribution from −3 (blue) to 3 (dark orange). C–E, Violin plot of selected pan-CAF markers (C), iCAF markers (D), and myCAF markers (E) showing normalized expression in each of the subclusters. F, Network representation of selected differentially activated proteins between human iCAFs and myCAFs, as analyzed by VIPER. Proteins activated in iCAFs are shown in red; proteins activated in myCAFs are shown in blue. G, GSEA plot showing the enrichment score (ES) for a selected set of differentially activated proteins in iCAFs (shown in red) and myCAFs (shown in blue). H–I, VIPER plot showing the enrichment for the top 20 differentially activated signaling molecules (H) or transcription factors (I) between iCAFs and myCAFs. The top bar represents the ranked gene-expression signature between myCAFs and iCAFs. Regulatory target genes in each signaling molecule regulon or transcription factor regulon are represented by vertical lines projected along the gene-expression signature. Each vertical line represents the position of a regulatory target gene in the ranked signature between myCAFs and iCAFs. The colors of the lines indicate if the regulatory targets are positively (red) or negatively (blue) regulated by their corresponding signaling molecule or transcription factor, according to the ARACNe/VIPER inferred regulatory model. The two-column heat map on the right shows the inferred differential activity (Act) and the differential gene expression (Exp) of each regulon. The column on the left shows the P values associated with the enrichment of each regulon. Ela Elyada et al. Cancer Discov 2019;9:1102-1123 ©2019 by American Association for Cancer Research