refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 117 results
Sort by

Filters

Technology

Platform

accession-icon GSE48383
ChIp-Chip using RNAP II, CREB C/EBPb and cJun antibody in undifferentiated or differentiated keratinocytes
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Combinatorial recruitment of CREB, C/EBPβ and c-Jun determines activation of promoters upon keratinocyte differentiation.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE48382
ChIp-Chip using RNAP II, CREB C/EBPb and cJun antibody in undifferentiated or differentiated keratinocytes (expression)
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Combinatorial recruitment of CREB, C/EBPb and Jun determines activation of promoters upon keratinocyte differentiation

Publication Title

Combinatorial recruitment of CREB, C/EBPβ and c-Jun determines activation of promoters upon keratinocyte differentiation.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP053794
RNA-Seq atopic dermatitis transcriptome profiling provides insights into novel disease mechanisms with potential therapeutic implications
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Purpose: provide evidence that RNA-seq can add information to transcriptome profiling already discovered by other technologies for atopic dermatitis Methods: mRNA profiles of 20 atopic dermatitis were analyzed to compare lesional and non-lesional skin, then transcriptomes found by reads were compared to Microarray and RT-PCR Results:RNA-seq provided complementary genes to AD transcriptome IL-36 and TREM-1 Conclusions: Our study represents the first analysis of lesional AD tissue by RNA-seq and comparison to microarray and RT-PCR Overall design: paired biopsies from lesional and non-lesional tissue of 20 patients sequenced by RNA-seq

Publication Title

RNA sequencing atopic dermatitis transcriptome profiling provides insights into novel disease mechanisms with potential therapeutic implications.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE60028
Molecular profiling of contact dermatitis skin identifies allergen-dependent differences in immune response
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Different allergens induce different immune responses

Publication Title

Molecular profiling of contact dermatitis skin identifies allergen-dependent differences in immune response.

Sample Metadata Fields

Sex, Subject

View Samples
accession-icon GSE58558
Cyclosporine in patients with atopic dermatitis modulates activated inflammatory pathways and reverses epidermal pathology
  • organism-icon Homo sapiens
  • sample-icon 105 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

After 2 and 12 weeks of treatment, we observed significant reductions of 51% and 72%, respectively, in SCORAD scores. Clinical improvements were associated with significant gene expression changes in lesional but also nonlesional skin, particularly reductions in levels of TH2-, TH22-, and some TH17-related molecules (ie, IL-13, IL-22, CCL17, S100As, and elafin/peptidase inhibitor 3), and modulation of epidermal hyperplasia and differentiation measures.

Publication Title

Cyclosporine in patients with atopic dermatitis modulates activated inflammatory pathways and reverses epidermal pathology.

Sample Metadata Fields

Sex, Age, Time

View Samples
accession-icon GSE112617
Transcriptomic and epigenetic signatures of hepatocellular carcinoma and intrahepatic cholangiocarcinoma derived from oncogenically transformed murine hepatocytes
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Necroptosis microenvironment directs lineage commitment in liver cancer.

Sample Metadata Fields

Sex, Cell line

View Samples
accession-icon GSE112616
Transcriptomic signature of hepatocellular carcinoma and intrahepatic cholangiocarcinoma derived from oncogenically transformed murine hepatocytes after stable knock-down of Tbx3 or Prdm5
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Primary liver cancer represents a major health problem. It comprises hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), which differ markedly with regards to their morphology, metastatic potential and therapy response. Yet, molecular actors and tissue context that commit transformed hepatic cells towards HCC or ICC are largely unknown. Here, we report that the hepatic microenvironment epigenetically shapes lineage commitment in mosaic mouse models of liver tumourigenesis. While a necroptosis associated hepatic cytokine microenvironment determines ICC outgrowth from oncogenically transformed hepatocytes, hepatocytes harbouring identical oncogenic drivers give rise to HCC if surrounded by apoptotic hepatocytes. Epigenome and transcriptome profiling of murine HCC and ICC singled out Tbx3 and Prdm5 as major microenvironment-dependent and epigenetically regulated lineage commitment factors, a function conserved in humans. Together, our study provides unprecedented insights into lineage commitment in liver tumourigenesis and explains molecularly why common liver damaging risk factors can either lead to HCC or ICC.

Publication Title

Necroptosis microenvironment directs lineage commitment in liver cancer.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE112615
Transcriptomic signature of hepatocellular carcinoma and intrahepatic cholangiocarcinoma derived from oncogenically transformed murine hepatocytes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Primary liver cancer represents a major health problem. It comprises hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC), which differ markedly with regards to their morphology, metastatic potential and therapy response. Yet, molecular actors and tissue context that commit transformed hepatic cells towards HCC or ICC are largely unknown. Here, we report that the hepatic microenvironment epigenetically shapes lineage commitment in mosaic mouse models of liver tumourigenesis. While a necroptosis associated hepatic cytokine microenvironment determines ICC outgrowth from oncogenically transformed hepatocytes, hepatocytes harbouring identical oncogenic drivers give rise to HCC if surrounded by apoptotic hepatocytes. Epigenome and transcriptome profiling of murine HCC and ICC singled out Tbx3 and Prdm5 as major microenvironment-dependent and epigenetically regulated lineage commitment factors, a function conserved in humans. Together, our study provides unprecedented insights into lineage commitment in liver tumourigenesis and explains molecularly why common liver damaging risk factors can either lead to HCC or ICC.

Publication Title

Necroptosis microenvironment directs lineage commitment in liver cancer.

Sample Metadata Fields

Sex, Cell line

View Samples
accession-icon SRP170756
Checkpoint blockade immunotherapy induces dynamic changes in PD-1-CD8+ tumor-infiltrating T cells
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2500

Description

An improved understanding of the anti-tumor CD8+ T cell response after checkpoint blockade would enable more informed and effective therapeutic strategies. Here we examined the dynamics of the effector response of CD8+ tumor-infiltrating lymphocytes (TILs) after checkpoint blockade therapy. Bulk and single-cell RNA profiles of CD8+ TILs after combined Tim-3+PD-1 blockade in preclinical models revealed significant changes in the transcriptional profile of PD-1? TILs. These cells could be divided into subsets bearing characterstics of naive-, effector-, and memory-precursor-like cells. Effector- and memory-precursor-like TILs contained tumor-antigen-specific cells, exhibited proliferative and effector capacity, and expanded in response to different checkpoint blockade therapies across different tumor models. The memory-precursor-like subset shared features with CD8+ T cells associated with response to checkpoint blockade in patients and was compromised in the absence of Tcf7. Expression of Tcf7 was requisite for the efficacy of diverse immunotherapies, highlighting the importance of this transcriptional regulator in the development of effective CD8+ T cell responses upon immunotherapy. Overall design: (i) RNAseq of Wild Type Naïve-like, Memory-like and Effector-like subpopulations of PD1-CD8+ Tumor infiltrating lymphocytes isolated from MC38-OVA. CD62LhiSlamf7-CX3CR1-, CD62L-Slamf7hiCX3CR1- and CD62L-Slamf7hiCX3CR1+ subsets within PD-1-CD8+ TILs (ii) RNAseq from WT mice, Tim-3+PD-1+ and Tim-3-PD-1- CD8+ TILs were isolated by cell sorting from MC38-OVA tumor-bearing mice that were treated with anti-PD-1 and anti-Tim-3 antibodies or isotype controls. (iii) Droplet-based single-cell RNA-Seq of Tim-3-PD-1- CD8+ TILs from MC38-OVA tumor-bearing WT mice that were treated with anti-PD-1 and anti-Tim-3 antibodies or isotype controls.

Publication Title

Checkpoint Blockade Immunotherapy Induces Dynamic Changes in PD-1<sup>-</sup>CD8<sup>+</sup> Tumor-Infiltrating T Cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

View Samples
accession-icon SRP156790
Rapid CLIP Dissociation from MHC II Promotes an Unusual Antigen Presentation Pathway in Autoimmunity
  • organism-icon Mus musculus
  • sample-icon 441 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

A number of autoimmunity-associated MHC class II proteins interact only weakly with the invariant chain-derived class II-associated invariant chain peptide (CLIP). CLIP dissociates rapidly from I-Ag7 even in the absence of DM, and this property is related to the type 1 diabetes-associated b57 polymorphism. We generated knock-in Non-obese Diabetic (NOD) mice with a single amino acid change in the CLIP segment of invariant chain in order to moderately slow CLIP dissociation from I-Ag7. These knock-in mice had a significantly reduced incidence of spontaneous type 1 diabetes and diminished islet infiltration by CD4 T cells, in particular T cells specific for fusion peptides generated by covalent linkage of proteolytic fragments within b cell secretory granules. Rapid CLIP dissociation enhanced presentation of such extracellular peptides, thus bypassing the conventional MHC class II antigen processing pathway. Autoimmunity-associated MHC class II polymorphisms therefore not only modify binding of self-peptides, but also alter the biochemistry of peptide acquisition. Overall design: Mouse pancreatic tissue was digested by collagenase, and islets were isolated and dissociated into single cells. Beta-cell-specific CD4 T cells were single-cell sorted by FACS based on tetramer labeling, and individual cells were profiled with a modified full length SMART-Seq2 protocol.

Publication Title

Rapid CLIP dissociation from MHC II promotes an unusual antigen presentation pathway in autoimmunity.

Sample Metadata Fields

Specimen part, Subject

View Samples
...

refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

BSD 3-Clause LicensePrivacyTerms of UseContact