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accession-icon GSE44076
Gene expression data from healthy, adjacent normal and tumor colon cells
  • organism-icon Homo sapiens
  • sample-icon 246 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Gene expression profiles of paired normal adjacent mucosa and tumor samples from 98 individuals and 50 healthy colon mucosae, were obtained through Affymetrix Human Genome U219 Arrays. This dataset is in the context of the COLONOMICS project and to query additional information you can visit the project website www.colonomics.org.

Publication Title

Discovery and validation of new potential biomarkers for early detection of colon cancer.

Sample Metadata Fields

Sex, Age, Disease, Subject

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accession-icon GSE79194
Expression data from murine GVH-SSc skin
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Murine GVH-SSc dorsal scapular skin samples were analyzed to determine the effect of IFNAR-1 inhibition on gene expression at day 14 and day 28. Gene expression in GVH-SSc skin from mice treated with a neutralizing IFNAR-1 antibody was compared to that in GVH-SSc skin from mice treated with isotype IgG, with skin from syngeneic graft controls as reference.

Publication Title

Type I IFNs Regulate Inflammation, Vasculopathy, and Fibrosis in Chronic Cutaneous Graft-versus-Host Disease.

Sample Metadata Fields

Sex

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accession-icon SRP060557
Single cell global gene profiling reveals molecular and functional platelet bias of aged hematopoietic stem cells
  • organism-icon Mus musculus
  • sample-icon 113 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Single cell whole transcriptome analysis of young (2-3 months) and old (20-25 months) mouse HSCs, defined as Lin–Sca-1+c-Kit+150+CD48– . Overall design: Differential gene expression analysis of young and old mouse HSCs (Lin–Sca-1+c-Kit+150+CD48– )

Publication Title

Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP133278
RNA sequencing of B cell subsets (CD11c hi IgD+ B cells, CD11c hi IgD- B cells, Memory B cells and Naïve B cells) from healthy subjects and subjects with Systemic lupus erythematosus (SLE) or Rheumatoid arthritis (RA)
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

CD11c+ B cells (IgD+ and IgD-) are pathogenic B cells expanded in autoimmune disease. The purpose of this study is to identify the pathways unique to IgD+ CD11c B cells and IgD- CD11c B cells. Overall design: B cell subsets were isolated from peripheral blood and RNA sequencing was performed with Hiseq 2000 platform

Publication Title

IL-21 drives expansion and plasma cell differentiation of autoreactive CD11c<sup>hi</sup>T-bet<sup>+</sup> B cells in SLE.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE29382
Characterisation of early thymic progenitors and thymus seeding progenitors
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression analysis of early thymic progenitors and thymus seeding progenitors

Publication Title

The earliest thymic T cell progenitors sustain B cell and myeloid lineage potential.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE69306
Significant obesity associated gene expression changes are in the stomach but not intestines in obese mice
  • organism-icon Mus musculus
  • sample-icon 129 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The gastrointestinal (GI) tract can have significant impact on the regulation of the whole body metabolism and may contribute to the development of obesity and diabetes. To systemically elucidate the role of the GI tract in obesity, we performed a transcriptomic analyses in different parts of the GI tract of two obese mouse models: ob/ob and high-fat diet (HFD) fed mice. Compared to their lean controls, both obese mouse groups had significant amount of gene expression changes in the stomach (ob/ob: 959; HFD: 542), much more than the number of changes in the intestine. Despite the difference in genetic background, the two mouse models shared 296 similar gene expression changes in the stomach. Among those genes, some had known associations to obesity, diabetes and insulin resistance. In addition, the gene expression profile strongly suggested an increased gastric acid secretion in both obese mouse models, probably through an activation of the gastrin pathway. In conclusion, our data reveal a previously unknown dominant connection between the stomach and obesity.

Publication Title

Significant obesity-associated gene expression changes occur in the stomach but not intestines in obese mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE70262
The impact of P53 loss on transcriptome changes following loss of Apc in the intestine
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

BACKGROUND: p53 is an important tumor suppressor with a known role in the later stages of colorectal cancer, but its relevance to the early stages of neoplastic initiation remains somewhat unclear. Although p53-dependent regulation of Wnt signalling activity is known to occur, the importance of these regulatory mechanisms during the early stages of intestinal neoplasia has not been demonstrated.

Publication Title

A limited role for p53 in modulating the immediate phenotype of Apc loss in the intestine.

Sample Metadata Fields

Specimen part

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accession-icon GSE37369
Caco-2 cell gene expression following co-culture with Lactobacillus casei and Bifidobacterium breve
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

To characterize how symbiotic bacteria affect the lolecular and cellular mechanisms of epithelial homeostasis, human colonic Caco-2 cells

Publication Title

Epithelial cell proliferation arrest induced by lactate and acetate from Lactobacillus casei and Bifidobacterium breve.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE12051
Microarray predictor of response to infliximab in rheumatoid arthritis (RA) patients
  • organism-icon Homo sapiens
  • sample-icon 44 Downloadable Samples
  • Technology Badge IconSentrix Human-6 Expression BeadChip

Description

We sought to find a gene-expression multigene predictor of response to infliximab therapy in Rheumatoid Arthritis patients. Using internal and external cross-validation systems we have built and validated an 8-gene predictor for response to infliximab.

Publication Title

An eight-gene blood expression profile predicts the response to infliximab in rheumatoid arthritis.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage

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accession-icon GSE9785
Expression data from Newborn mice infected with Shigella flexneri
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

In order to identify the developmental changes controlling the switch from disease susceptibility to resistance, we performed global gene expression analysis on non-infected and infected intestinal tissues taken from 4-day- and 7-day-old animals.

Publication Title

Maturation of paneth cells induces the refractory state of newborn mice to Shigella infection.

Sample Metadata Fields

Age

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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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