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accession-icon GSE105163
Transcriptome analysis of naive and Listeria monocytogenes-specific CD8+ T cells
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

The histone methyltransferase Suv39h1 silences transcriptional programs during CD8+-T cell differentiation

Publication Title

The epigenetic control of stemness in CD8<sup>+</sup> T cell fate commitment.

Sample Metadata Fields

Specimen part

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accession-icon GSE102046
Transcriptomic analysis of in vitro-generated human monocyte-derived cells
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

We analyzed the transcriptomes of human dendritic cells and macrophages derived from monocytes using MCSF + IL-4 + TNFa, or IL-34 + IL-4 + TNFa, or dendritic cells derived from monocytes using GMCSF + IL-4.

Publication Title

Aryl Hydrocarbon Receptor Controls Monocyte Differentiation into Dendritic Cells versus Macrophages.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP117082
Single-cell RNA-seq analysis of human CD14+ monocytes
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD14+ monocytes isolated from the blood of healthy donors. Using the 10x chromium technology, we analyzed 425 and 431 cells from 2 individual donors. Overall design: Peripheral Blood Mononuclear Cells (PBMC) were prepared by centrifugation on a Ficoll gradient. Blood CD14+ monocytes were isolated from healthy donors' PBMC by positive selection using magnetic beads. Monocytes were 93-95% CD14+CD16- as assessed by flow cytometry. Cellular suspensions (1700 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Aryl Hydrocarbon Receptor Controls Monocyte Differentiation into Dendritic Cells versus Macrophages.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP159651
Single-cell RNA-seq analysis of human tonsil CD4 T cells
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD4 T cells isolated from the tonsils of one healthy donor. We used the 10x chromium technology. Overall design: Tonsil CD4 T cells were enriched by negative selection using magnetic beads. Cell populations (CXCR5+PD-1low T cells, CXCR5+PD-1int T cells and CXCR5+PD-1high T cells ) were further isolated by cell sorting. Cellular suspensions (3500 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses.

Sample Metadata Fields

Subject

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accession-icon SRP159650
Single-cell RNA-seq analysis of human tonsil CD14+ cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed single-cell RNA-seq on CD14+ cells isolated from the tonsils of one healthy donor. We used the 10x chromium technology. Overall design: Tonsil phagocytes were prepared by centrifugation on a Ficoll gradient. Dendritic cells and macrophages were enriched by negative selection using magnetic beads. Cell populations were further isolated by cell sorting. Cellular suspensions (3500 cells) were loaded on a 10X Chromium instrument (10X Genomics) according to manufacturer's protocol.

Publication Title

Human lymphoid organ cDC2 and macrophages play complementary roles in T follicular helper responses.

Sample Metadata Fields

Subject

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accession-icon SRP044241
Gene expression changes as a result of E-cadherin loss in an isogenic non-malignant MCF10A and MCF10A CDH1-/- breast cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Background: E-cadherin is an adherens junction protein that forms homophilic intercellular contacts in epithelial cells while also interacting with the intracellular cytoskeletal networks. It has roles including establishment and maintenance of cell polarity, differentiation, migration and signalling in cell proliferation pathways. Its downregulation is commonly observed in epithelial tumours and is a hallmark of the epithelial to mesenchymal transition (EMT). Methods: To improve our understanding of how E-cadherin loss contributes to tumorigenicity, we investigated the impact of its elimination from the non-tumorigenic breast cell line MCF10A. We performed cell-based assays and whole genome RNAseq to characterize an isogenic MCF10A cell line that is devoid of CDH1 expression due to an engineered homozygous 4bp deletion in CDH1 exon 11. Results: The E-cadherin-deficient line, MCF10A CDH1-/- showed subtle morphological changes, weaker cell-substrate adhesion, delayed migration, but retained cell-cell contact, contact growth inhibition and anchorage-dependent growth. Within the cytoskeleton, the apical microtubule network in the CDH1-deficient cells lacked the radial pattern of organization present in the MCF10A cells and F-actin formed thicker, more numerous stress fibres in the basal part of the cell. Whole genome RNAseq identified compensatory changes in the genes involved in cell-cell adhesion while genes involved in cell-substrate adhesion, notably ITGA1, COL8A1, COL4A2 and COL12A1, were significantly downregulated. Key EMT markers including CDH2, FN1, VIM and VTN were not upregulated although increased expression of proteolytic matrix metalloprotease and kallikrein genes was observed. Conclusions: Overall, our results demonstrated that E-cadherin loss alone was insufficient to induce an EMT or enhance transforming potential in the non-tumorigenic MCF10A cells but was associated with broad transcriptional changes associated with tissue remodelling. Overall design: Examination of the impact of E-cadherin (CDH1) loss in an isogenic pair of breast cell lines.

Publication Title

E-cadherin loss alters cytoskeletal organization and adhesion in non-malignant breast cells but is insufficient to induce an epithelial-mesenchymal transition.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP119354
Atrial Molecular Asymmetry Precedes the Emergence of Cardiac Septation [RNA-seq]
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Comparison of the meis2b+ and the meis2b- halves of the atrium of the adult zebrafish atrium reveals the existence of two different transcriptional domains. These two domains analogous to that of the two atria in terrestrial vertebrates Overall design: To determine the expression profiles of the Tg(meis2b-reporter)-positive vs -negative atrial compartments, a total of 6 hearts of 3 mpf Tg(meis2b-reporter) zebrafish were micro-dissected. A total of 4 pools were made: the first two pools, each contained 3 Tg(meis2b-reporter)-positive atrial compartments, and the other two contained the Tg(meis2b-reporter)-negative halves.

Publication Title

Distinct myocardial lineages break atrial symmetry during cardiogenesis in zebrafish.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE109070
rGal1 transcriptional effects over RWP-1
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

rGal1 (recombinant Galectin-1) vs non treated (Ctrl) pancreatic cancer cell line RWP-1

Publication Title

Targeting galectin-1 inhibits pancreatic cancer progression by modulating tumor-stroma crosstalk.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE96955
Lysine 100 acetylation effect of CRP (catabolite activator protein) in gene expression in Escherichia coli
  • organism-icon Escherichia coli k-12
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix E. coli Genome 2.0 Array (ecoli2)

Description

cAMP receptor protein (CRP, also known as the catabolite activator protein [CAP]) is arguably the best-studied of the global transcription factors of E coli. CRP alone is responsible for regulating at least 283 operons. Upon binding cAMP, the CRP dimer binds DNA and directly interacts with RNA polymerase (RNAP). At Class II promoters, CRP binds near position -41,5 relative to the transcription start site and contacts the amino-terminal domain of the RNAP subunit (RNAP-NTD). This interaction requires AR2, a patch of primarily positively charged residues (H19, H21, E96, and K101) that interact with negatively charged residues on RNAP-NTD. Acetylome analyses consistently detect lysine 100 (K100) of CRP as acetylated. Since K100 is adjacent to the positively charged AR2, we hypothesized that the K100 positive charge may also play a role in CRP function. We further hypothesized that acetylation of K100 would neutralize this positive charge, leading to a potential regulatory mechanism

Publication Title

Influence of Glucose Availability and CRP Acetylation on the Genome-Wide Transcriptional Response of <i>Escherichia coli</i>: Assessment by an Optimized Factorial Microarray Analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE139433
Expression data from roots of WT and fit plants exposed to either Fe sufficient or Fe deficient conditions for 72 hours
  • organism-icon Arabidopsis thaliana
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

PMID: 15539473. We compared the gene expression in roots between WT and fit mutant under +Fe and -Fe conditions using ATH1 microarray analysis to explore which genes are affected by the loss of FIT function.

Publication Title

The essential basic helix-loop-helix protein FIT1 is required for the iron deficiency response.

Sample Metadata Fields

Specimen part, Treatment

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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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