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accession-icon GSE23742
Gene expression data from mouse liver
  • organism-icon Mus musculus, Mus sp.
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarray analysis to examine which genes are differentially expressed in mice that received a combination of fish oil and indomethacin.

Publication Title

Fish oil and indomethacin in combination potently reduce dyslipidemia and hepatic steatosis in LDLR(-/-) mice.

Sample Metadata Fields

Specimen part, Compound

View Samples
accession-icon SRP133503
Chromatin Associated RNA-Seq of CD8+ T cells expressing different levels of Runx3 in a cell culture model of CTL differentiation [Chr Assoc]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

T cell receptor (TCR) stimulation of naïve CD8+ T cells initiates reprogramming of cis-regulatory landscapes that specify effector and memory cytotoxic T lymphocyte (CTL) differentiation. We mapped regions of hyper-accessible chromatin in naïve cells during TCR stimulation and discovered that the transcription factor (TF) Runx3 controls de novo access to memory CTL-specific cistromes prior to the first cell division, and is essential for memory CTL differentiation. Runx3 specifically promotes accessibility of cis-acting regions highly enriched with IRF, bZIP and Prdm1-like family TF motifs, upregulates IRF4 and establishes feed-forward transcriptional circuits that induce fundamental CTL attributes in memory precursor cells. Runx3 drives uncoupling from the naïve cell state, but subsequently restrains terminal differentiation of nascent CTL by preventing high expression of the TF T-bet and slowing effector cell proliferation. Enforced Runx3 expression enhances memory CTL differentiation and increases their numbers during iterative infections. Thus, Runx3 functions in a pioneering role to initialize and then ensure memory CTL differentiate. Overall design: 6 samples, 2 replicates each, 2 wildtype controls

Publication Title

The Transcription Factor Runx3 Establishes Chromatin Accessibility of cis-Regulatory Landscapes that Drive Memory Cytotoxic T Lymphocyte Formation.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP033078
Human iPSC-based Modeling of Late-Onset Disease using Progerin-induced Aging
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Reprogramming somatic cells to induced pluripotent stem cells (iPSCs) sets their identity back to an embryonic age. This presents a fundamental hurdle for modeling late-onset disorders using iPSC-derived cells. We therefore developed a strategy to induce age-like features in multiple iPSC-derived lineages and tested its impact on modeling Parkinson’s disease (PD). We first describe markers that predict fibroblast donor age and observed the loss of these age-related markers following iPSC induction and re-differentiation into fibroblasts. Remarkably, age-related markers were readily induced in iPSC-derived fibroblasts or neurons following exposure to progerin including dopamine neuron-specific phenotypes such as neuromelanin accumulation. Induced aging in PD-iPSC-derived dopamine neurons revealed disease phenotypes requiring both aging and genetic susceptibility such as frank dendrite degeneration, progressive loss of tyrosine-hydroxylase expression and enlarged mitochondria or Lewy body-precursor inclusions. Our study presents a strategy for inducing age-related cellular properties and enables the modeling of late-onset disease features. Overall design: Induced pluripotent stem cell-derived midbrain dopamine neurons from a young and old donor overexpressing either GFP or Progerin.

Publication Title

Human iPSC-based modeling of late-onset disease via progerin-induced aging.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE89037
Gene expression data from Terminal Effector and Memory Precursor CD8+ T cells during infection
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Differentiation of naive T cells into effector and memory populations following infection is mediated by a network of transcription factors (TF) that translate environmental signals into regulatory circuits involving TF expression and binding activity as well as chromatin accessibility.

Publication Title

Epigenetic landscapes reveal transcription factors that regulate CD8<sup>+</sup> T cell differentiation.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE107395
Runx3 programs CD8+ T cell residency in non-lymphoid tissues and tumours
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Runx3 programs CD8<sup>+</sup> T cell residency in non-lymphoid tissues and tumours.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon GSE107278
Microarray analysis of CD8+ T cell subsets during LCMV infection
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Tissue-resident memory CD8+T cells (Trm) are positioned at common sites of pathogen exposure where they elicit rapid and robust protective immune responses1,2. However, the molecular signals controlling Trm differentiation and homeostasis are not fully understood. Here we show that mouse Trm precursor cells represent a unique CD8+T cell subset that is distinct from the precursors of circulating memory populations at the levels of gene expression and chromatin accessibility. Exploiting computational and functional RNAiin vivoscreens, we identified the transcription factor (TF) Runx3 as a key regulator of Trm differentiation and homeostasis. Runx3 was required to establish Trm populations in diverse tissue environments and supported expression of critical tissue-residency genes while suppressing genes associated with tissue egress and recirculation. Analysis of the accessibility of Runx3 target genes in Trm-precursor cells revealed a distinct regulatory role for Runx3 in controlling Trm differentiation despite relatively widespread and uniform expression among all CD8+T cell subsets.Further, we show that human and murine tumor-infiltrating lymphocytes (TIL) share a core tissue-residency gene-expression signature with Trm. In a mouse model of adoptive T cell therapy for melanoma, Runx3-deficient CD8+TIL failed to accumulate in tumors, resulting in greater rates of tumor growth and mortality. Conversely, overexpression of Runx3 enhanced TIL abundance, delayed tumor growth, and prolonged survival. In addition to establishing Runx3 as a central regulator of Trm differentiation, these results provide novel insight into the signals that promote T cell residency in tissues, which could be leveraged to enhance vaccine efficacy or adoptive cell therapy treatments that target cancer.

Publication Title

Runx3 programs CD8<sup>+</sup> T cell residency in non-lymphoid tissues and tumours.

Sample Metadata Fields

Specimen part, Time

View Samples
accession-icon SRP125508
RNA-Seq of CD8+ T cell subsets during LCMV infection
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tissue-resident memory CD8+ T cells (Trm) are positioned at common sites of pathogen exposure where they elicit rapid and robust protective immune responses1,2. However, the molecular signals controlling Trm differentiation and homeostasis are not fully understood. Here we show that mouse Trm precursor cells represent a unique CD8+ T cell subset that is distinct from the precursors of circulating memory populations at the levels of gene expression and chromatin accessibility. Exploiting computational and functional RNAi in vivo screens, we identified the transcription factor (TF) Runx3 as a key regulator of Trm differentiation and homeostasis. Runx3 was required to establish Trm populations in diverse tissue environments and supported expression of critical tissue-residency genes while suppressing genes associated with tissue egress and recirculation. Analysis of the accessibility of Runx3 target genes in Trm-precursor cells revealed a distinct regulatory role for Runx3 in controlling Trm differentiation despite relatively widespread and uniform expression among all CD8+ T cell subsets. Further, we show that human and murine tumor-infiltrating lymphocytes (TIL) share a core tissue-residency gene-expression signature with Trm. In a mouse model of adoptive T cell therapy for melanoma, Runx3-deficient CD8+ TIL failed to accumulate in tumors, resulting in greater rates of tumor growth and mortality. Conversely, overexpression of Runx3 enhanced TIL abundance, delayed tumor growth, and prolonged survival. In addition to establishing Runx3 as a central regulator of Trm differentiation, these results provide novel insight into the signals that promote T cell residency in tissues, which could be leveraged to enhance vaccine efficacy or adoptive cell therapy treatments that target cancer. Overall design: 8 samples, 2 replicates each, naïve P14 cells or Day 7 LCMV infection CD8+ T cell subsets

Publication Title

Runx3 programs CD8<sup>+</sup> T cell residency in non-lymphoid tissues and tumours.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP125591
RNA-seq of tumor residing CD8+ T cells overexpressing Runx3
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Tissue-resident memory CD8+ T cells (Trm) are positioned at common sites of pathogen exposure where they elicit rapid and robust protective immune responses1,2. However, the molecular signals controlling Trm differentiation and homeostasis are not fully understood. Here we show that mouse Trm precursor cells represent a unique CD8+ T cell subset that is distinct from the precursors of circulating memory populations at the levels of gene expression and chromatin accessibility. Exploiting computational and functional RNAi in vivo screens, we identified the transcription factor (TF) Runx3 as a key regulator of Trm differentiation and homeostasis. Runx3 was required to establish Trm populations in diverse tissue environments and supported expression of critical tissue-residency genes while suppressing genes associated with tissue egress and recirculation. Analysis of the accessibility of Runx3 target genes in Trm-precursor cells revealed a distinct regulatory role for Runx3 in controlling Trm differentiation despite relatively widespread and uniform expression among all CD8+ T cell subsets. Further, we show that human and murine tumor-infiltrating lymphocytes (TIL) share a core tissue-residency gene-expression signature with Trm. In a mouse model of adoptive T cell therapy for melanoma, Runx3-deficient CD8+ TIL failed to accumulate in tumors, resulting in greater rates of tumor growth and mortality. Conversely, overexpression of Runx3 enhanced TIL abundance, delayed tumor growth, and prolonged survival. In addition to establishing Runx3 as a central regulator of Trm differentiation, these results provide novel insight into the signals that promote T cell residency in tissues, which could be leveraged to enhance vaccine efficacy or adoptive cell therapy treatments that target cancer. Overall design: 6 samples: 2 Runx3-overexpressing tumor P14 samples, 2 control tumor P14 samples, 2 control spleen samples

Publication Title

Runx3 programs CD8<sup>+</sup> T cell residency in non-lymphoid tissues and tumours.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP150080
Molecular profiling of reticular gigantocellularis neurons
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

we used technique that allows the molecular characterization of particular neuronal subpopulations based on their neuroanatomical projections and the locations of their cell bodies. This 'retro-TRAP' (translating ribosome affinity purification from retrogradely labeled neurons) approach relies on viral injection into an anatomical area targeted by the neurons of interest, followed by selective precipitation of ribosomes from retrogradely labeled cell bodies, and subsequent RNAseq analysis. Overall design: By comparing the mRNAs enriched in the NGC neurons which are retrogradely labeled due to viral injection into central thalamus, to gene expression of non-labeled surrounding cells in NGC, and then performing a comprehensive bioinformatics analysis of these results, we were able to identify genes enriched in these cells. This procedure allowed us to highlight genes and pathways unique to these neurons with projections ascending to thalamus, as compared to other cells in reticular NucleusGigantocellularis.

Publication Title

Molecular profiling of reticular gigantocellularis neurons indicates that eNOS modulates environmentally dependent levels of arousal.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE76353
A new 3D culture system to identify disease-relevant genes in colorectal cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Three-dimensional culture system identifies a new mode of cetuximab resistance and disease-relevant genes in colorectal cancer.

Sample Metadata Fields

Specimen part, Cell line

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...

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

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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.

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