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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 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 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 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

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accession-icon GSE98595
Cabergoline-treated lutein granulosa cells from polycystic ovarian syndrome (PCOS) patients exhibit higher transcriptomic response than cabergoline-treated controls
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This study assessed the transcriptomic profiles of lutein granulosa cells (LGCs) from women with and without PCOS using Affymetrix microarray chips to provide novel information about the molecular changes that occur in these cells when they are treated with a D2-ag (Cb2) and to assess the signal transduction pathways regulated by this treatment.

Publication Title

Dysregulated genes and their functional pathways in luteinized granulosa cells from PCOS patients after cabergoline treatment.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE60615
miRNAs in Treg-derived Exosomes
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Foxp3+ regulatory T (Treg) cells prevent inflammatory disease but the mechanistic basis of suppression is not understood completely . Gene silencing by RNA interference can act in a cell-autonomous and non-cell-autonomous manner, providing mechanisms of inter-cellular regulation. Here, we demonstrate that non-cell-autonomous gene silencing, mediated by miRNA-containing exosomes, is a mechanism employed by Treg cells to suppress T cell-mediated disease. Treg cells transferred microRNAs (miRNA) to various immune cells, including T helper 1 (Th1) cells, suppressing Th1 cell proliferation and cytokine secretion. Use of Dicer-deficient or Rab27a and Rab27b double-deficient Treg cells to disrupt miRNA-biogenesis or the exosomal pathway, respectively, established a requirement for miRNAs and exosomes for Treg cell-mediated suppression. Transcriptional analysis and miRNA inhibitor studies showed that exosome-mediated transfer of Let-7d from Treg cell to Th1 cells contributed to suppression and prevention of systemic disease. These studies reveal a mechanism of Treg cell-mediated suppression mediated by miRNA-containing exosomes.

Publication Title

MicroRNA-containing T-regulatory-cell-derived exosomes suppress pathogenic T helper 1 cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP060705
Hobit and Blimp1 instruct a universal transcriptional program of tissue-residency in lymphocytes
  • organism-icon Mus musculus
  • sample-icon 38 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Tissue-resident memory T cells (Trm) are non-circulating memory T cells that localize to portals of pathogen entry such as the skin, gut and lung where they provide efficient early protection against reinfection. Trm are characterized by a molecular profile that actively prevents egress from peripheral sites including the constitutive expression of the lectin CD69 and down-regulation of the chemokine receptor (CCR)7 and sphingosine-1-phosphate receptor 1 (S1PR1). This program is partially mediated by down-regulation of the transcription factor KLF2; however, to date no transcriptional regulator specific to Trm has been identified. Here we show that the Blimp1 related transcription factor Hobit is specifically upregulated in Trm and together with Blimp1, mediates the development and maintenance of Trm in various tissues including skin, gut, liver and kidney. Importantly, we found that the Hobit/Blimp1 transcriptional module is also required for other tissue-resident lymphocytes including Natural Killer T (NKT) cells and liver tissue-resident NK cells (trNK). We show that these populations share a universal transcriptional program with Trm instructed by Hobit and Blimp1 that includes the repression of CCR7, S1PR1 and KLF2 thereby enforcing tissue retention. Our results identify Hobit and Blimp1 as major common regulators that drive the differentiation of distinct populations of tissue-resident lymphocytes. Overall design: RNA-seq data were generated for multiple tissues in mice to investigate global expression difference between resident and circulating cells.

Publication Title

Hobit and Blimp1 instruct a universal transcriptional program of tissue residency in lymphocytes.

Sample Metadata Fields

No sample metadata fields

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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 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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...

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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