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accession-icon GSE31585
T Cell Genes Regulated by Short Chain Fatty Acids
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This is to determine the regulation of gene expression in different T Cell population with short chain fatty acids. This will provide the roles of SCFAs in regulation of adaptive immunity and T-cell-mediated inflammation.

Publication Title

Short-chain fatty acids induce both effector and regulatory T cells by suppression of histone deacetylases and regulation of the mTOR-S6K pathway.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE22025
Progesterone-regulated genes in immune cells: Regulation of T cell genes by progesterone
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We examined the global gene expression pattern of T cells regulated by progesterone to gain further insights into the regulatory mechanisms of progesterone. We found 325-347 cord blood T cell genes up or down-regulated by P4 in the presence or absence of exogenous TGFb1. Peripheral blood T cells were relatively unresponsive with only 30-70 genes regulated by P4. IL-6 receptor (IL-6R) expression was greatly down-regulated by progesterone in cord blood, but not PB, T cells. Overall, these differences in gene expression are consistent with the differential responses of cord blood and peripheral blood T cells to progesterone. To gain insights into the differences of progesterone and control dendritic cells, we performed a microarray study and found ~180 genes regulated by progesterone in dendritic cells. The gene expression information suggests that progesterone has the potential to alter dendritic cell responses to cytokines, chemokine production, and migration which in combination would control T cell differentiation.

Publication Title

Progesterone promotes differentiation of human cord blood fetal T cells into T regulatory cells but suppresses their differentiation into Th17 cells.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE34324
Gene expression by Retinoic Acid in mouse Dendritic Cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The purpose of this study was to determine and clarify the retinoic effect on the gene expression profile for mouse dendritic cells.

Publication Title

Retinoic acid promotes the development of Arg1-expressing dendritic cells for the regulation of T-cell differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE72361
Microarray Analysis Gene Expression Profiles in Laryngeal Muscle After Recurrent Laryngeal Nerve Injury
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

The pathophysiology of recurrent laryngeal nerve (RLN) transection injury is rare in that it is characteristically followed by a high degree of spontaneous reinnervation, with reinnervation of the laryngeal adductor complex (AC) preceding that of the abducting posterior cricoarytenoid (PCA) muscle. Here, we aim to elucidate the differentially expressed myogenic factors following RLN injury that may be at least partially responsible for the spontaneous reinnervation. F344 male rats underwent RLN injury or sham surgery (n=12). One week after RLN injury, larynges were harvested following euthanasia. mRNA was extracted from PCA and AC muscles bilaterally, and microarray analysis was performed using a full rat genome array. Microarray analysis of denervated AC and PCA muscles demonstrated dramatic differences in gene expression profiles, with 205 individual probes that were differentially expressed between the denervated AC and PCA muscles, and only 14 genes with similar expression patterns. The differential expression patterns of the AC and PCA suggest different mechanisms of reinnervation. The PCA showed the gene patterns of Wallerian degeneration, while the AC expressed the gene patterns of reinnervation by adjacent axonal sprouting. This finding may reveal important therapeutic targets applicable to RLN and other peripheral nerve injuries.

Publication Title

Microarray Analysis Gene Expression Profiles in Laryngeal Muscle After Recurrent Laryngeal Nerve Injury.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE20500
T cell genes regulated by retinoic acid
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This is to determine the T cell genes regulated by retinoic acid.

Publication Title

Complementary roles of retinoic acid and TGF-β1 in coordinated expression of mucosal integrins by T cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE36569
SCFA receptor response
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The purpose of this study was to determine the gene expression patterns of the colon of GPR41 KO and GPR43 KO mice in response to ETOH treatment

Publication Title

Short-chain fatty acids activate GPR41 and GPR43 on intestinal epithelial cells to promote inflammatory responses in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE24387
Gene expression induced by progesterone in mouse T cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To identify the genes that are induced by progesterone in T cells, naive mouse CD4+ T cells were treated with progesterone and TGFb1 or just TGFb1 alone. Then, Affymetrix gene chips were used to determine the T cell gene expression change with progesterone treatment.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE80719
Acetate and B cells
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Mouse spleen B cells were activated with sodium acetate (10 mM) for 5 days and the transcriptome change was determined with microarrays.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE69864
Mouse kidney gene expression regulated by C2
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This is to determine in vivo kidney tissue gene expression regulated by acetate feeding in drinking water into mice for 6 weeks.

Publication Title

Chronically Elevated Levels of Short-Chain Fatty Acids Induce T Cell-Mediated Ureteritis and Hydronephrosis.

Sample Metadata Fields

Specimen part

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accession-icon GSE9419
The skeletal muscle transcript profile reflects responses to inadequate protein intake in younger and older males
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Inadequate protein intake initiates an accommodative response with adverse changes in skeletal muscle function and structure. mRNA level changes due to short-term inadequate dietary protein might be an early indicator of accommodation. The aims of this study were to assess the effects of dietary protein and the diet-by-age interaction on the skeletal muscle transcript profile. Self-organizing maps were used to determine expression patterns across protein trials.

Publication Title

The skeletal muscle transcript profile reflects accommodative responses to inadequate protein intake in younger and older males.

Sample Metadata Fields

Sex

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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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