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accession-icon GSE69552
Cell-of-origin links lung tumor histotype spectrum to immune microenvironment diversity
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Lung cancers exhibit pronounced functional heterogeneity, confounding precision medicine. We studied how the cell-of-origin contributes to phenotypic heterogeneity following conditional expression of KrasG12D and loss of Lkb1 (Kras;Lkb1). Using progenitor cell type-restricted adenoviral-Cre to target cells expressing Surfactant Protein C (SPC) or club cell antigen 10 (CC10), we show that Ad5-CC10-Cre infected mice exhibit a shorter latency compared with Ad5-SPC-Cre cohorts. We further demonstrate that CC10+ cells are the predominant progenitors of adenosquamous carcinoma (ASC) tumors, and give rise to a wider spectrum of histotypes that includes mucinous and acinar adenocarcinomas. Transcriptome analysis shows ASC histotype-specific upregulation of proinflammatory and immunomodulatory genes. This is accompanied with an ASC-specific immunosuppressive environment, consisting of downregulated MHC genes, recruitment of CD11b+ Gr-1+ tumor-associated neutrophils (TANs) and decreased T-cell numbers. We conclude that progenitor cell-specific etiology influences the Kras;Lkb1-driven tumor histopathology spectrum and histotype-specific immune microenvironment.

Publication Title

Cell of Origin Links Histotype Spectrum to Immune Microenvironment Diversity in Non-small-Cell Lung Cancer Driven by Mutant Kras and Loss of Lkb1.

Sample Metadata Fields

Specimen part

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accession-icon SRP067963
Transcriptome profiling of post-mature green seeds from Arabidopsis ddcc mutant and wild-type
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The role of on-CG methylation in seed development and dormancy remains unknown. There are four genes in charge of non-CG methylation in Arabidopsis: drm1, drm2, cmt2 and cmt3. The majority of non-CG methylation in vegetative tissues, leaf, is gone in homozygous ddcc mutant line (Hume et al., 2014). To uncover the possible role of non-CG DNA methylation in seed development and dormancy, we characterized the transcriptome of ddcc mutant in Arabidopsis post-mature green seeds using Illumina sequencing. Meanwhile, post-mature green seeds from wild type were used as control. Overall design: Illumina sequencing of transcripts from post-mature green seeds of ddcc mutant and wild type. Two biological replicates were collected.

Publication Title

Similarity between soybean and <i>Arabidopsis</i> seed methylomes and loss of non-CG methylation does not affect seed development.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE4209
Changes in Expression of Genes Involved in Apoptosis in Activated Human T-Cells in Response to Modeled Microgravity
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The purpose of this study was to search for microgravity-sensitive genes, specifically for apoptotic genes influenced by the microgravity environment and other genes related to immune response.

Publication Title

Gene expression alterations in activated human T-cells induced by modeled microgravity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP155163
A comprehensive single cell transcriptional landscape of human hematopoietic progenitors
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Hematopoietic Stem/Progenitor cells (HSPCs) are endowed with the role of maintaining a diverse pool of blood cells throughout the human life. Despite recent efforts, the nature of the early cell fate decisions remains contentious. Using single-cell RNA-Seq, we show that existing approaches to stratify bone marrow CD34+ cells reveal a hierarchically-structured transcriptional landscape of hematopoietic differentiation. Still, this landscape misses important early fate decisions. We here provide a broader transcriptional profiling of bone marrow lineage negative hematopoietic progenitors that recovers a key missing branchpoint into basophils and expands our understanding of the underlying structure of early adult human haematopoiesis. We also show that this map has strong similarities in topology and gene expression to that found in mouse. Finally, we identify the sialomucin CD164, as a reliable marker for the earliest branches of HSPCs specification and we showed how its use can foster the design of alternative transplantation cell products. Overall design: Single-cell mRNA sequencing of freshly isolated hematopoietic progenitors from human bone marrow. Sample HSC (Donor A) represents 1282 single cells. Sample MPP (Donor A) represents 215 single cells. Sample MLP (Donor A) represents 123 single cells. Sample PreB/NK (Donor A) represents 592 single cells. Sample MEP (Donor A) represents 1211 single cells. Sample CMP (Donor A) represents 1576 single cells. Sample GMP (Donor A) represents 1012 single cells. Sample Lin-CD34+CD164+ (Donor B) represents 6343 single cells. Sample Lin-CD34-CD164high (Donor B) represents 4434 single cells. Sample Lin-CD34lowCD164high (Donor B) represents 4266 single cells. Sample Lin-CD34-CD164low (Donor B) represents 358 single cells.

Publication Title

A comprehensive single cell transcriptional landscape of human hematopoietic progenitors.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE45739
In TCR-stimulated T-cells, N-ras regulates specific genes and signal transduction pathways
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

It has been recently shown that N-ras plays a preferential role in immune cell development and function; specifically: N-ras, but not H-ras or K-ras, could be activated at and signal from the Golgi membrane of immune cells following a low level TCR stimulus. The goal of our studies was to test the hypothesis that N-ras and H-ras played distinct roles in immune cells at the level of the transcriptome.

Publication Title

In TCR-stimulated T-cells, N-ras regulates specific genes and signal transduction pathways.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon SRP067454
Myc-dependent gene activation and repression in oncogene-addicted liver tumors (RNA-seq)
  • organism-icon Mus musculus
  • sample-icon 43 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Tumors driven by activation of the transcription factor Myc generally show oncogene addiction. However, the gene-expression programs that depend upon sustained Myc activity in those tumors remain unknown. We have addressed this issue in a model of liver carcinoma driven by a reversible tet-Myc transgene, combining gene expression profiling with the mapping of Myc and RNA Polymerase II on chromatin. Switching off the oncogene in advanced carcinomas revealed that Myc is required for the continuous activation and repression of distinct sets of genes, constituting no more than half of those deregulated during tumor progression, and an even smaller subset of all Myc-bound genes. We further showed that a Myc mutant unable to associate with the co-repressor protein Miz1 is defective in the initiation of liver tumorigenesis. Altogether, our data provide the first detailed analysis of a Myc-dependent transcriptional program in a fully developed carcinoma, revealing that the critical effectors of Myc in tumor maintenance must be included within defined subsets (ca. 1,300 each) of activated and repressed genes. Overall design: RNAseq samples of control liver (n=11), tet-Myc tumors (n=16), tet-Myc tumors with short-term Myc inactivation (n=8), tet-MycVD tumors (n=11)

Publication Title

Identification of MYC-Dependent Transcriptional Programs in Oncogene-Addicted Liver Tumors.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE22392
Expression data from hESCs, hiPSCs and human fibroblasts.
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Detailed analysis comparing hiPSC lines that were newly generated and compared them to already established hiPSC lines

Publication Title

Molecular analyses of human induced pluripotent stem cells and embryonic stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE76765
Tumor Cell Survival Dependence on the DExH-Box Helicase DHX9
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

The ATP-dependent DExH/D-box helicase DHX9 is a key participant in a number of gene regulatory steps, including transcriptional, translational, microRNA-mediated control, DNA replication, and maintenance of genomic stability. DHX9 has also been implicated in maintenance of the tumorigenic process and in drug response. Here, we report that inhibition of DHX9 expression is lethal to multiple human and mouse cancer cell lines. In contrast, using a novel conditional shDHX9 mouse model, we demonstrate that sustained and prolonged suppression of DHX9 is well tolerated at the organismal level. Our results demonstrate a robust tolerance for DHX9 knockdown in non-transformed cells and supports the targeting of DHX9 as an effective and specific chemotherapeutic approach.

Publication Title

Tumor cell survival dependence on the DHX9 DExH-box helicase.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE43677
Massive Transcriptional Perturbation in Subgroups of Diffuse Large B-cell Lymphomas
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Based on the assumption that molecular mechanisms involved in cancerogenesis are characterized by groups of coordinately expressed genes, we developed and validated a novel method for analyzing transcriptional data called Correlated Gene Set Analysis (CGSA). Using 50 extracted gene sets we identified three different profiles of tumors in a cohort of 364 Diffuse large B-cell (DLBCL) and related mature aggressive B-cell lymphomas other than Burkitt lymphoma. The first profile had high level of expression of genes related to proliferation whereas the second profile exhibited a stromal and immune response phenotype. These two profiles were characterized by a large scale gene activation affecting genes which were recently shown to be epigenetically regulated, and which were enriched in oxidative phosphorylation, energy metabolism and nucleoside biosynthesis. The third and novel profile showed only low global gene activation similar to that found in normal B cells but not cell lines. Our study indicates novel levels of complexity of DLBCL with low or high large scale gene activation related to metabolism and biosynthesis and, within the group of highly activated DLBCLs, differential behavior leading to either a proliferative or a stromal and immune response phenotype.

Publication Title

Massive transcriptional perturbation in subgroups of diffuse large B-cell lymphomas.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP131037
Using Next-Generation Sequencing Transcriptomics to Determine Markers of Post-traumatic Symptoms - preliminary findings from a post-deployment cohort
  • organism-icon Homo sapiens
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Post-traumatic stress disorder is a concerning psycho behavioral disorder thought to emerge from the complex interaction between genetic and environmental factors. For soldiers exposed to combat, the risk of developing this disorder is two-fold and diagnosis is often late, when much sequela has set in. To be able to identify and diagnose in advance those at “risk” of developing PTSD, would greatly taper the gap between late sequelae and treatment. Therefore, this study sought to test the hypothesis that the transcriptome can be used to track the development of PTSD in this unique and susceptible cohort of individuals. Gene expression levels in peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms) were determined by RNA sequencing technology following their return from deployment to Afghanistan. Count-based gene expression quantification, normalization and differential analysis (with thorough correction for confounders) revealed significant differences in two genes, LRP8 and GOLM1 . These preliminary results provide a proof-of-principle for the diagnostic utility of blood-based gene expression profiles for tracking symptoms of post-traumatic stress disorder in soldiers returning from tour. It is also the first to report transcriptome-wide expression profiles alongside a post-traumatic symptom checklist. Overall design: Peripheral blood samples from 85 Canadian infantry soldiers (n = 58 subjects negative for PTSD symptoms and n = 27 subjects with PTSD symptoms)

Publication Title

Using Next-Generation Sequencing Transcriptomics To Determine Markers of Post-traumatic Symptoms: Preliminary Findings from a Post-deployment Cohort of Soldiers.

Sample Metadata Fields

Sex, Subject

View Samples
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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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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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