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accession-icon GSE86042
A distinct gene module uncouples dysfunction from activation in tumor-infiltrating T cells
  • organism-icon Mus musculus
  • sample-icon 16 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

A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP082756
A distinct gene module uncouples dysfunction from activation in tumor-infiltrating T cells (batch 3)
  • organism-icon Mus musculus
  • sample-icon 384 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Reversing the dysfunctional T cell state that arises in cancer and chronic viral infections is the focus of therapeutic interventions; however, current therapies are effective in only some patients and some tumor types. To gain a deeper molecular understanding of the dysfunctional T cell state, we analyzed population and single-cell RNA profiles of CD8+ tumor-infiltrating lymphocytes (TILs) and used genetic perturbations to identify a distinct gene module for T cell dysfunction that can be uncoupled from T cell activation. This distinct dysfunction module is downstream of intracellular metallothioneins that regulate zinc metabolism and can be identified at single-cell resolution. We further identify Gata-3, a zinc-finger transcription factor in the dysfunctional module, as a regulator of dysfunction, and use CRISPR/Cas9 genome editing to show that it drives a dysfunctional phenotype in CD8+ TILs. Our results open novel avenues for targeting dysfunctional T cell states, while leaving activation programs intact. Overall design: CD8 TILs from WT and MTKO mice were sequenced at single-cell resolution

Publication Title

A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP082958
A distinct gene module uncouples dysfunction from activation in tumor-infiltrating T cells (batch 2)
  • organism-icon Mus musculus
  • sample-icon 383 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Reversing the dysfunctional T cell state that arises in cancer and chronic viral infections is the focus of therapeutic interventions; however, current therapies are effective in only some patients and some tumor types. To gain a deeper molecular understanding of the dysfunctional T cell state, we analyzed population and single-cell RNA profiles of CD8+ tumor-infiltrating lymphocytes (TILs) and used genetic perturbations to identify a distinct gene module for T cell dysfunction that can be uncoupled from T cell activation. This distinct dysfunction module is downstream of intracellular metallothioneins that regulate zinc metabolism and can be identified at single-cell resolution. We further identify Gata-3, a zinc-finger transcription factor in the dysfunctional module, as a regulator of dysfunction, and use CRISPR/Cas9 genome editing to show that it drives a dysfunctional phenotype in CD8+ TILs. Our results open novel avenues for targeting dysfunctional T cell states, while leaving activation programs intact. Overall design: CD8 TILs from WT and MTKO mice were sequenced at single-cell resolution

Publication Title

A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP082755
A distinct gene module uncouples dysfunction from activation in tumor-infiltrating T cells (batch 1)
  • organism-icon Mus musculus
  • sample-icon 384 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Reversing the dysfunctional T cell state that arises in cancer and chronic viral infections is the focus of therapeutic interventions; however, current therapies are effective in only some patients and some tumor types. To gain a deeper molecular understanding of the dysfunctional T cell state, we analyzed population and single-cell RNA profiles of CD8+ tumor-infiltrating lymphocytes (TILs) and used genetic perturbations to identify a distinct gene module for T cell dysfunction that can be uncoupled from T cell activation. This distinct dysfunction module is downstream of intracellular metallothioneins that regulate zinc metabolism and can be identified at single-cell resolution. We further identify Gata-3, a zinc-finger transcription factor in the dysfunctional module, as a regulator of dysfunction, and use CRISPR/Cas9 genome editing to show that it drives a dysfunctional phenotype in CD8+ TILs. Our results open novel avenues for targeting dysfunctional T cell states, while leaving activation programs intact. Overall design: CD8 TILs from WT and MTKO mice were sequenced at single-cell resolution

Publication Title

A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP082757
A distinct gene module uncouples dysfunction from activation in tumor-infiltrating T cells (batch 4)
  • organism-icon Mus musculus
  • sample-icon 383 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Reversing the dysfunctional T cell state that arises in cancer and chronic viral infections is the focus of therapeutic interventions; however, current therapies are effective in only some patients and some tumor types. To gain a deeper molecular understanding of the dysfunctional T cell state, we analyzed population and single-cell RNA profiles of CD8+ tumor-infiltrating lymphocytes (TILs) and used genetic perturbations to identify a distinct gene module for T cell dysfunction that can be uncoupled from T cell activation. This distinct dysfunction module is downstream of intracellular metallothioneins that regulate zinc metabolism and can be identified at single-cell resolution. We further identify Gata-3, a zinc-finger transcription factor in the dysfunctional module, as a regulator of dysfunction, and use CRISPR/Cas9 genome editing to show that it drives a dysfunctional phenotype in CD8+ TILs. Our results open novel avenues for targeting dysfunctional T cell states, while leaving activation programs intact. Overall design: CD8 TILs from WT and MTKO mice were sequenced at single-cell resolution

Publication Title

A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP082576
A distinct gene module uncouples dysfunction from activation in tumor-infiltrating T cells (part 2)
  • organism-icon Mus musculus
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Reversing the dysfunctional T cell state that arises in cancer and chronic viral infections is the focus of therapeutic interventions; however, current therapies are effective in only some patients and some tumor types. To gain a deeper molecular understanding of the dysfunctional T cell state, we analyzed population and single-cell RNA profiles of CD8+ tumor-infiltrating lymphocytes (TILs) and used genetic perturbations to identify a distinct gene module for T cell dysfunction that can be uncoupled from T cell activation. This distinct dysfunction module is downstream of intracellular metallothioneins that regulate zinc metabolism and can be identified at single-cell resolution. We further identify Gata-3, a zinc-finger transcription factor in the dysfunctional module, as a regulator of dysfunction, and use CRISPR/Cas9 genome editing to show that it drives a dysfunctional phenotype in CD8+ TILs. Our results open novel avenues for targeting dysfunctional T cell states, while leaving activation programs intact. Overall design: CD8 TILs sorted on PD1 and Tim3 to subpopulations were analyzed from two batches: batch 1: 2 WT and 2 MTKO mice , batch 2: 2 WT and 3 MTKO mice.

Publication Title

A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE85947
Expression data for CD8 TILs subpopulations sorted by Tim3 and PD1
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Reversing the dysfunctional T cell state that arises in cancer and chronic viral infections is the focus of therapeutic interventions; however, current therapies are effective in only some patients and some tumor types. To gain a deeper molecular understanding of the dysfunctional T cell state, we analyzed population and single-cell RNA profiles of CD8+ tumor-infiltrating lymphocytes (TILs) and used genetic perturbations to identify a distinct gene module for T cell dysfunction that can be uncoupled from T cell activation. This distinct dysfunction module is downstream of intracellular metallothioneins that regulate zinc metabolism and can be identified at single-cell resolution. We further identify Gata-3, a zinc-finger transcription factor in the dysfunctional module, as a regulator of dysfunction, and use CRISPR/Cas9 genome editing to show that it drives a dysfunctional phenotype in CD8+ TILs. Our results open novel avenues for targeting dysfunctional T cell states, while leaving activation programs intact.

Publication Title

A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP082573
A distinct gene module uncouples dysfunction from activation in tumor-infiltrating T cells (part 1)
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Reversing the dysfunctional T cell state that arises in cancer and chronic viral infections is the focus of therapeutic interventions; however, current therapies are effective in only some patients and some tumor types. To gain a deeper molecular understanding of the dysfunctional T cell state, we analyzed population and single-cell RNA profiles of CD8+ tumor-infiltrating lymphocytes (TILs) and used genetic perturbations to identify a distinct gene module for T cell dysfunction that can be uncoupled from T cell activation. This distinct dysfunction module is downstream of intracellular metallothioneins that regulate zinc metabolism and can be identified at single-cell resolution. We further identify Gata-3, a zinc-finger transcription factor in the dysfunctional module, as a regulator of dysfunction, and use CRISPR/Cas9 genome editing to show that it drives a dysfunctional phenotype in CD8+ TILs. Our results open novel avenues for targeting dysfunctional T cell states, while leaving activation programs intact. Overall design: naïve and activated CD8 T cells

Publication Title

A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP091366
Single-cell transcriptome analysis of mouse fetal livers from different developmental stages
  • organism-icon Mus musculus
  • sample-icon 506 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We employed marker-free single-cell RNA-Seq to characterize comprehensive transcriptional profiles of 507 cells from seven stages between embryonic day 11.5 and postnatal day 2.5 during mouse liver development. Our data demonstrated the existence of two types of stem/progenitor cells with distinct molecular patterns during liver development. Both types of cells exhibit heterogeneity of transcriptional program within each cell population, suggesting they be in distinct status of self-renewal, cell proliferation and different sub-stages of differentiation and maturation. In general, our data depicting the dynamic trajectories with transcriptional profiles at single-cell resolution during mouse liver development provides insights into the fate decision and transcriptional control of self-renewal, differentiation and maturation of liver stem/progenitor cells. Overall design: The transcriptomes of 507 single cells from E11.5, E12.5, E13.5, E14.5, E16.5, E18.5 and P2.5 mouse livers were analyzed in this study. ERCC Spike-ins were included in each sample as control. For E11.5 stage, we analyzed 70 single cells from one embryonic mouse (pooled sibling livers); for E12.5 stage, we analyzed 2 biological replicates (2 embryonic mouse), with 83 single cells from replicate 1 and 17 single cells from replicate 2; for E13.5 stage, we analyzed 71 single cells from one embryonic mouse; for E14.5 stage, we analyzed 2 biological replicates, with 75 single cells from replicate 1 and 24 single cells from replicate 2; for E16.5 stage, we analyzed 2 biological replicates, with 56 single cells from replicate 1 and 22 single cells from replicate 2; for E18.5 stage, we analyzed 2 biological replicates, with 39 single cells from replicate 1 and 19 single cells from replicate 2; for P2.5 stage, we analyzed 2 biological replicates, with 21 single cells from replicate 1 and 10 single cells from replicate 2. All single cell samples were processed on the microfluidic system.

Publication Title

Single-cell RNA-Seq analysis reveals dynamic trajectories during mouse liver development.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon GSE106324
Oxidative stress time-course in adipocytes
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

3T3-L1 adipocytes were treated inhibitors against the glutathione and thioredoxin cycling pools for several time-points (2-24 h).

Publication Title

The transcriptional response to oxidative stress is part of, but not sufficient for, insulin resistance in adipocytes.

Sample Metadata Fields

Cell line, Treatment

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)

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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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