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accession-icon SRP101638
Class I histone deacetylases HDAC1, 2 and 3 are histone decrotonylases
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon

Description

We characterize histone crotonylation in intestinal epithelium-derived cells through Mass spectrometry, ChIp-Seq and RNA-Seq approaches and show that this modification is removed by class I histone deacetylases, HDAC1, 2 and 3. Overall design: RNA-Seq profile from mouse colon epithelium. ChIP-Seq experiments for H3K18crotonylation and H3K4me3 on mouse colon epithelium. ChIP-Seq experiments for H3K18 crotonylation and H3K18 acetylation on HCT116 cell line treated or not with the HDAC inhibitor MS275 (5 µM) for 18h. All the experiments were performed in triplicate.

Publication Title

Microbiota derived short chain fatty acids promote histone crotonylation in the colon through histone deacetylases.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8906
Comparative gene expression profiles of T-dependent and T-independent germinal centre B cells in mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Selection of B cells subjected to hypermutation in germinal centres (GC) during T-dependent (TD) antibody responses yields memory cells and long-lived plasma cells that produce high affinity antibodies biased to foreign antigens rather than self-antigens. GC also form in T-independent (TI) responses to polysaccharide antigens but failed selection results in GC involution and memory cells are not generated. To date there are no markers that allow phenotypic distinction of T-dependent and T-independent germinal centre B cells. We have now compared the global gene expression of GC B cells purified from mice immunized with either TD or TI antigens and identified eighty genes that are differentially expressed in TD GC.

Publication Title

Axon growth and guidance genes identify T-dependent germinal centre B cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE77962
Adipose tissue gene expression is differentially regulated with different rates of weight loss in overweight and obese humans
  • organism-icon Homo sapiens
  • sample-icon 151 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Background: Moderate weight loss can ameliorate adverse health effects associated with obesity, reflected by an improved adipose tissue (AT) gene expression profile. However, the effect of rate of weight loss on the AT transcriptome is unknown.

Publication Title

Adipose tissue gene expression is differentially regulated with different rates of weight loss in overweight and obese humans.

Sample Metadata Fields

Sex, Specimen part, Treatment, Subject, Time

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accession-icon SRP094432
RNA-SEQ of mutants B cell for IgH 3''RR and Emu
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA-SEQ of mutants B cell for IgH 3''RR and Emu Overall design: CD43- splenic B-cells from wt, Eµ-deficient or 3''RR deficient mice, non stimulated (NS) or stimulated (S) with 5mg/ml LPS.

Publication Title

E<sub>μ</sub> and 3'RR IgH enhancers show hierarchic unilateral dependence in mature B-cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE57549
Metaplastic breast carcinomas display genomic and transcriptomic heterogeneity
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Genome-Wide Human SNP 6.0 Array (genomewidesnp6), Illumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Metaplastic breast carcinomas display genomic and transcriptomic heterogeneity [corrected]. .

Sample Metadata Fields

Disease

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accession-icon GSE57544
Expression profiling of metaplastic carcinoma of the breast
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Expression profiling of metaplastic carcinoma of the breast

Publication Title

Metaplastic breast carcinomas display genomic and transcriptomic heterogeneity [corrected]. .

Sample Metadata Fields

Disease

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accession-icon GSE36151
Identification of a complex genetic network involved in Saccharomyces cerevisiae colony morphology
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

When grown on solid substrates, different microorganisms often form colonies with very specific morphologies. Whereas the pioneers of microbiology often used colony morphology to discriminate between species and strains, the phenomenon has not received much recent attention. In this study, we use a genome-wide assay in the model yeast Saccharomyces cerevisiae to identify all genes that affect colony morphology. We show that several major signaling cascades, including the MAPK, TORC, SNF1 and RIM101 pathways play a role, indicating that morphological changes are a reaction to changing environments. Other genes that affect colony morphology are involved in protein sorting and epigenetic regulation. Interestingly, the screen reveals only few genes that are likely to play a direct role in establishing colony morphology, one notable exception being FLO11, a gene encoding a cell-surface adhesin that has already been implicated in colony morphology, biofilm formation, and invasive and pseudohyphal growth. Using a series of modified promoters to tune FLO11 expression, we confirm the central role of Flo11 and show that differences in FLO11 expression result in distinct colony morphologies. Together, our results provide a first comprehensive looks at the complex genetic network that underlies the diversity in the morphologies of yeast colonies.

Publication Title

Identification of a complex genetic network underlying Saccharomyces cerevisiae colony morphology.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE66418
Specific IMPC gene expression signature
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Polarity defects are a hallmark of most carcinomas. Cells from invasive micropapillary carcinomas (IMPCs) of the breast are characterized by a striking cell polarity inversion and represent a good model for the analysis of polarity abnormalities. We have performed an in-depth investigation of polarity alterations in 24 IMPCs, compared with invasive carcinomas of no special type (ICNST).

Publication Title

LIN7A is a major determinant of cell-polarity defects in breast carcinomas.

Sample Metadata Fields

Specimen part

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accession-icon GSE114269
Medullary breast carcinoma, a triple-negative breast cancer subtype associated with BCLG overexpression and BRCAness
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Medullary Breast Carcinoma, a Triple-Negative Breast Cancer Associated with BCLG Overexpression.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE114168
Medullary breast carcinoma, a triple-negative breast cancer subtype associated with BCLG overexpression.
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression was compared between medullary breast carcinoma (MBC) and non medullary basal-like breast carcinoma (non-MBC BLC).

Publication Title

Medullary Breast Carcinoma, a Triple-Negative Breast Cancer Associated with BCLG Overexpression.

Sample Metadata Fields

Disease, Disease stage

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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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