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accession-icon GSE98640
Expression data from human CD8+ T cell subsets, defined using CD27 and CD45RA
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD27 and CD45RA can be used to split T cells into 4 subsets, nave cells, CD27+CD45RA+, central memory cells CD27+CD45RA-, effector memory cells CD27-CD45RA-, effector memory CD45RA re-expressing cell, CD27-CD45RA+. It is with in this final EMRA subset that it is belived the senenscent T cells reside. Cellular senescence is accompanied by a senescence-associated secretory phenotype (SASP), to date a SASP has not been demonstrated in T cells.

Publication Title

Human CD8<sup>+</sup> EMRA T cells display a senescence-associated secretory phenotype regulated by p38 MAPK.

Sample Metadata Fields

Sex

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accession-icon SRP155373
Transcriptome analysis of murine B cell and CLL samples
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptional profiling revealed that murine VH11 and non-VH11 CLL differed in the upregulation of specific pathways implicated in cell signaling and metabolism. We identified a gene expression signature (including Ccdc88a, Clip3, Zcchc18, Chd3 and Itm2a) that was significantly upregulated in T cell-dependent non-VH11 CLL compared with T cell-independent VH11/Vk14 or mutated IgH.TEµ CLL. Overall design: biological replicate (n=3-4) RNA-Seq experiments Please note that the ''countTable_exons_def_norm_rpkm_all.txt'' contains the ''FPKM'' column headers (as a default output setting for the HOMER software package). However, the .txt file contains RPKM value as described in the sample data processing field.

Publication Title

Identification of Distinct Unmutated Chronic Lymphocytic Leukemia Subsets in Mice Based on Their T Cell Dependency.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE156249
Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers.
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers.

Sample Metadata Fields

Sex, Disease, Subject, Time

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accession-icon GSE156247
Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers. [A294]
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Background: Cold acclimation and exercise training were previously shown to increase peripheral insulin sensitivity in human volunteers with type 2 diabetes. Although cold is a potent activator of brown adipose tissue, the increase in peripheral insulin sensitivity by cold is largely mediated by events occurring in skeletal muscle and at least partly involves GLUT4 translocation, as is also observed for exercise training. Results: To investigate if cold acclimation and exercise training overlap in the molecular adaptive response in skeletal muscle, we performed transcriptomics analysis on vastus lateralis muscle collected from human subjects before and after 10 days of cold acclimation, as well as before and after a 12-week exercise training intervention. Methods: Cold acclimation altered the expression of 756 genes (422 up, 334 down, P<0.01), while exercise training altered the expression of 665 genes (444 up, 221 down, P<0.01). Principal Component Analysis, Venn diagram, similarity analysis and Rank–rank Hypergeometric Overlap all indicated significant overlap between cold acclimation and exercise training in upregulated genes, but not in downregulated genes. Overlapping gene regulation was especially evident for genes and pathways associated with extracellular matrix remodeling. Interestingly, the genes most highly induced by cold acclimation were involved in contraction and in signal transduction between nerve and muscle cells, while no significant changes were observed in genes and pathways related to insulin signaling or glucose metabolism. Conclusions: Overall, our results indicate that cold acclimation and exercise training have overlapping effects on gene expression in human skeletal muscle, but strikingly these overlapping genes are designated to pathways related to cell remodeling rather than metabolic pathways.

Publication Title

Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers.

Sample Metadata Fields

Sex, Disease, Subject, Time

View Samples
accession-icon GSE156248
Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers. [A391]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Background: Cold acclimation and exercise training were previously shown to increase peripheral insulin sensitivity in human volunteers with type 2 diabetes. Although cold is a potent activator of brown adipose tissue, the increase in peripheral insulin sensitivity by cold is largely mediated by events occurring in skeletal muscle and at least partly involves GLUT4 translocation, as is also observed for exercise training. Results: To investigate if cold acclimation and exercise training overlap in the molecular adaptive response in skeletal muscle, we performed transcriptomics analysis on vastus lateralis muscle collected from human subjects before and after 10 days of cold acclimation, as well as before and after a 12-week exercise training intervention. Methods: Cold acclimation altered the expression of 756 genes (422 up, 334 down, P<0.01), while exercise training altered the expression of 665 genes (444 up, 221 down, P<0.01). Principal Component Analysis, Venn diagram, similarity analysis and Rank–rank Hypergeometric Overlap all indicated significant overlap between cold acclimation and exercise training in upregulated genes, but not in downregulated genes. Overlapping gene regulation was especially evident for genes and pathways associated with extracellular matrix remodeling. Interestingly, the genes most highly induced by cold acclimation were involved in contraction and in signal transduction between nerve and muscle cells, while no significant changes were observed in genes and pathways related to insulin signaling or glucose metabolism. Conclusions: Overall, our results indicate that cold acclimation and exercise training have overlapping effects on gene expression in human skeletal muscle, but strikingly these overlapping genes are designated to pathways related to cell remodeling rather than metabolic pathways.

Publication Title

Comparative transcriptome analysis of human skeletal muscle in response to cold acclimation and exercise training in human volunteers.

Sample Metadata Fields

Sex, Disease, Subject, Time

View Samples
accession-icon GSE85695
Identification of Super-enhancer-associated Cancer Genes Provides Novel Therapeutic Targets in Adult T-cell Leukemia/Lymphoma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Enhancer profiling identifies critical cancer genes and characterizes cell identity in adult T-cell leukemia.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE85694
Microarray gene expression analysis after THZ1 treatment in TL-Om1 cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Microarray gene expression profiling was performed in an adult T-cell leukemia/lymphoma cell line (TL-Om1) to analyze genes regulated by the THZ1 CDK7 inhibitor.

Publication Title

Enhancer profiling identifies critical cancer genes and characterizes cell identity in adult T-cell leukemia.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE44405
Three MYB Transcription Factors Control Pollen Tube Differentiation Required for Sperm Release
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Flowering plants have immotile sperm that develop within pollen and must be carried to female gametes by a pollen tube. The pollen tube engages in molecular interactions with several cell types within the pistil and these interactions are essential for successful fertilization. We identified a group of three closely related pollen tube-expressed MYB transcription factors (MYB97, MYB101, MYB120), which are required for proper interaction of the pollen tube with the female gametophyte. These transcription factors are transcriptionally induced during growth in the pistil. They regulate a transcriptional network leading to proper differentiation and maturation of the pollen tube, promoting proper pollen tube-ovule interactions resulting in sperm release and double fertilization.

Publication Title

Three MYB transcription factors control pollen tube differentiation required for sperm release.

Sample Metadata Fields

Specimen part

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accession-icon GSE14340
Transcriptional profiling of human neural crest cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The expression profiles of five human trunk level neural crest cell lines were determined on Affymetrix chips HG U133 Plus 2.0.

Publication Title

Epistasis between RET and BBS mutations modulates enteric innervation and causes syndromic Hirschsprung disease.

Sample Metadata Fields

Sex, Specimen part

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accession-icon E-MEXP-1415
Transcription profiling time series of leaves from winter wheat grown under S and N-deficient conditions
  • organism-icon Triticum aestivum
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

Transcripomic analysis of leaf gene expression in S and N-deficient winter wheat during grain development. Tissue was harvested at anthesis and 7, 14 and 21 days post anthesis from experimental field plots.

Publication Title

Co-ordinated expression of amino acid metabolism in response to N and S deficiency during wheat grain filling.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject, Time

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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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