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accession-icon GSE12236
Whole Genome Exon Arrays Identify Differential Expression of Alternatively Spliced, Cancer-related Genes in Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Alternative processing of pre-mRNA transcripts is a major source of protein diversity in eukaryotes and has been implicated in several disease processes including cancer. In this study we have performed a genome wide analysis of alternative splicing events with the GeneChip Human Exon 1.0 ST Array from Affymetrix in lung adenocarcinoma. We found that ~13.3% of the 17800 core Refseq genes appear to have alternative transcripts that are differentially expressed in lung adenocarcinoma versus normal. According to their known functions the largest subset of these genes (30.8%) is believed to be cancer related. Detailed analysis was performed for several genes using PCR, quantitative RT-PCR and DNA sequencing. We found overexpression of ERG variant 2 but not variant 1 in lung tumors and overexpression of CEACAM1 variant 1 but not variant 2 in lung tumors but not in breast or colon tumors. We also identified a novel, overexpressed variant of CDH3 and verified the overexpression of a novel variant of P16. These findings demonstrate how analysis of alternative pre-mRNA processing can shed additional light on differences between tumors and normal tissues as well as between different tumor types. Such studies may lead to the development of additional tools for tumor diagnosis, prognosis and therapy.

Publication Title

Whole genome exon arrays identify differential expression of alternatively spliced, cancer-related genes in lung cancer.

Sample Metadata Fields

Sex, Age, Race, Subject

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accession-icon SRP187323
Adaptive plasticity of IL10 + and IL35 + regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Regulatory T cells (T regs) maintain host self-tolerance but are a major barrier to effective cancer immunotherapy. T regs subvert beneficial anti-tumor immunity by modulating inhibitory receptor (IR) expression on tumor infiltrating lymphocytes (TILs); however, the underlying mediators and mechanisms remain elusive. Here we show that interleukin-10 (IL10) and interleukin-35 (IL35; Ebi3/IL12a heterodimer) are divergently expressed by T reg subpopulations in the tumor microenvironment (TME) and cooperatively promote intratumoral T cell exhaustion. T reg -restricted deletion of Il10 and/or Ebi3 resulted in delayed tumor growth, loss of multi-IR expression, and reduced intratumoral CD8 + T cell exhaustion signature. While Il10 or Ebi3 loss was associated with reduced expression of B lymphocyte-induced maturation protein-1 (BLIMP1; Prdm1), IL10 and IL35 differentially impacted effector versus memory T cell fates, respectively, highlighting their differential, partially overlapping but non-redundant regulation of anti-tumor immunity. Our results reveal previously unappreciated cooperative roles for IL10 and IL35, produced by limits effective anti-tumor immunity Overall design: TIL CD8 cells from Treg specific IL10, IL35 and double knockouts, sorted into populations based on exhaustion markers. TIL Tregs sorted based on IL10 and IL35 expression.

Publication Title

Adaptive plasticity of IL-10<sup>+</sup> and IL-35<sup>+</sup> T<sub>reg</sub> cells cooperatively promotes tumor T cell exhaustion.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP184268
Adaptive plasticity of IL10+ and IL35+ regulatory T cells cooperatively promote intratumoral T cell exhaustion
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Abstract: Regulatory T cells (Tregs) maintain host self-tolerance but are a major barrier to effective cancer immunotherapy. Tregs subvert beneficial anti-tumor immunity by modulating inhibitory receptor (IR) expression on tumor infiltrating lymphocytes (TILs); however, the underlying mediators and mechanisms remain elusive. Here we show that interleukin-10 (IL10) and interleukin-35 (IL35; a heterodimer of Ebi3 and IL12?) are reciprocally expressed by Treg-subpopulations in the tumor microenvironment (TME) and cooperatively promote intratumoral T cell exhaustion. Treg-restricted deletion of either Il10/Ebi3 or dual deletion resulted in delayed tumor growth and significant reduction of transcriptomic exhaustion signature associated with reduced expression of B lymphocyte-induced maturation protein-1 (BLIMP1; Prdm1). While the two cytokines share the BLIMP1 axis to drive multi-IR expression; they differentially impact effector vs. memory fate, highlighting their overlapping and non-redundant regulation of anti-tumor immunity. Our results reveal previously unappreciated adaptive plasticity in inhibitory cytokine expression pattern by Tregs in TME for maximal immunosuppression. Data purpose: to understand the segregated cytokine expression pattern and the preferential generation of single cytokine positive Treg subpopulations, we performed single cell RNASeq (scRNAseq) contrasting Tregs isolated from naïve, unchallenged LNs or day 14 B16 tumor from Foxp3Cre-YFP WT mice Overall design: LNs or day 14 B16 tumor from Foxp3Cre-YFP WT mice

Publication Title

Adaptive plasticity of IL-10<sup>+</sup> and IL-35<sup>+</sup> T<sub>reg</sub> cells cooperatively promotes tumor T cell exhaustion.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE13231
The effect of inherited polymorphism on prognostic gene expression signatures
  • organism-icon Mus musculus
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The origins of breast cancer prognostic gene expression profiles.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13230
Met1 or DB7 tumor gene expression
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Metastasis predictive gene signatures can result from either somatic mutation, inherited polyrmorphism or both. This experiment is designed to look at the gene expression differences due to differences in somatic mutations in the initiating oncogene, PyMT. Met1 is from a fully metastatic FVB mammary tumor cell line, DB7 contains a mutation that permits tumor formation, but suppresses metastatic ability.

Publication Title

The origins of breast cancer prognostic gene expression profiles.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13227
(AKR/J x FVB/NJ)F1 versus (DBA/2J x FVB)F1 Thymus expression data
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Expression 430A Array (moe430a)

Description

F1 hybrids from (AKR/J x FVB/NJ) and (DBA/2J x FVB/NJ) outcrosses display a 20-fold difference in mammary tumor metastatic capacity, due to differences in inherited polymorphisms. Expression studies were performed to determine whether polymorphism-driven gene expression signatures predictive of outcome could be generated from normal tissues

Publication Title

The origins of breast cancer prognostic gene expression profiles.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13221
(AKR/J x PyMT)F1 versus (DBA/2J x PyMT)F1 tumor expression data
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

F1 hybrids from (AKR/J x FVB/NJ) and (DBA/2J x FVB/NJ) outcrosses display a 20-fold difference in mammary tumor metastatic capacity, due to differences in inherited polymorphisms. Expression studies were performed to determine whether polymorphism-driven gene expression signatures predictive of outcome could be generated from mouse tumor tissues

Publication Title

The origins of breast cancer prognostic gene expression profiles.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13224
(AKR/J x FVB/NJ)F1 versus (DBA/2J x FVB)F1 lung expression data
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Mouse Expression 430A Array (moe430a)

Description

F1 hybrids from (AKR/J x FVB/NJ) and (DBA/2J x FVB/NJ) outcrosses display a 20-fold difference in mammary tumor metastatic capacity, due to differences in inherited polymorphisms. Expression studies were performed to determine whether polymorphism-driven gene expression signatures predictive of outcome could be generated from normal tissues

Publication Title

The origins of breast cancer prognostic gene expression profiles.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE42363
Exome and whole genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The incidence of esophageal adenocarcinoma (EAC) has risen 600% over the last 30 years. With an extremely poor five-year survival rate of only 15%, identification of new therapeutic targets for EAC is of great importance. Here, we analyze the mutation spectra from the whole exome sequencing of 149 EAC tumors/normal pairs, 15 of which have also been subjected to whole genome sequencing. We identify a novel mutational signature in EACs defined by a high prevalence of A to C transversions at Ap*A dinucleotides. Statistical analysis of the exome data identified 26 genes that are mutated at a significant frequency. Of these 26 genes, only four (TP53, CDKN2A, SMAD4, and PIK3CA) have been previously implicated in EAC. The novel significantly mutated genes include several chromatin modifying factors and candidate contributors to EAC: SPG20, TLR4, ELMO1, and DOCK2. Notably, functional analyses of EAC-derived mutations in ELMO1 increase cellular invasion. Therefore, we suggest a new hypothesis about the potential activation of the RAC1 pathway to be a contributor to EAC tumorigenesis.

Publication Title

Exome and whole-genome sequencing of esophageal adenocarcinoma identifies recurrent driver events and mutational complexity.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage, Race

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accession-icon GSE30866
Gene expression of polyoma middle T antigen induced mammary tumors
  • organism-icon Mus musculus
  • sample-icon 180 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated cross-species transcriptional network analysis of metastatic susceptibility.

Sample Metadata Fields

Specimen part

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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)

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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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