refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 48 results
Sort by

Filters

Technology

Platform

accession-icon GSE7896
S1P mediates key targets associated with survival, proliferation and pluripotency in human embryonic stem cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human embryonic stem cells (hESCs) replicate by the process of self-renewal, whilst maintaining their pluripotency. Understanding the pathways involved in the regulation of this self-renewal process will assist in developing fully-defined conditions for the proliferation of hESCS required for therapeutic applications. We previously demonstrated a role for Sphingosine-1-phosphate (S1P) in the survival and proliferation of hESCs. The present study investigates further key signalling pathways and the downstream targets of S1P.

Publication Title

Sphingosine-1-phosphate mediates transcriptional regulation of key targets associated with survival, proliferation, and pluripotency in human embryonic stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13411
Gene expression by human splenic B-cell subsets
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Enhanced secondary Ab responses are a vital component of adaptive immunity, yet little is understood about the intrinsic and extrinsic regulators of nave and memory B cells that results in differences in their responses to Ag. Microarray analysis, together with surface and intracellular phenotyping, revealed that memory B cells have increased expression of members of the TNF receptor, SLAM, B7 and Bcl2 families, as well as the TLR-related molecule CD180 (RP105). Accordingly, memory B cells exhibited enhanced survival, proliferation and Ig secretion, as well as entered division more rapidly than nave B cells in response to both T-dependent and T-independent stimuli. Furthermore, both IgM and isotype switched memory B cells, but not nave B cells, co-stimulated CD4+ T cells in vitro through a mechanism dependent on their constitutive expression of CD80 and CD86. This study demonstrates that upregulation of genes involved in activation, co-stimulation and survival provides memory B cells with a unique ability to produce enhanced immune responses and contributes to the maintenance of the memory B cell pool.

Publication Title

Resting human memory B cells are intrinsically programmed for enhanced survival and responsiveness to diverse stimuli compared to naive B cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE26928
Human peripheral blood CD4+ T cell subsets
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cells were isolated from healthy human donors (n=2). Unstimulated cells. Cells were stained with CD4, CD45RA, CCR7 and CXCR7. Using flow cytometry, 4 CD4+ T cell populations were sorted: (1) Nave (CD45RA+CCR7+CXCR5-), (2) Central memory (CD45RA-CCR7+CXCR5-), (3) Effector memory (CD45RA-CCR7-CXCR5-) and (4) CXCR5+ cells (CD45RA-CCR7-CXCR5+)

Publication Title

CXCR5 expressing human central memory CD4 T cells and their relevance for humoral immune responses.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE10091
Transcript-specific translational regulation in the unfolded protein response of Saccharomyces cerevisiae
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

The accumulation of unfolded proteins in the lumen of the endoplasmic reticulum (ER) causes stress and induces the unfolded protein response (UPR) which is characterised in part by the transcriptional induction of genes involved in assisting protein folding. Translational responses to ER stress have been less well described and here we report on a genome-wide analysis of translational regulation in the response to the ER stress-inducing agent dithiothreitol (DTT) in Saccharomyces cerevisiae. Although the observed polysome profiles were similar under control and ER stress conditions microarray analysis identified transcipt-specific translational regulation. Genes with functions in ribosomal biogenesis and assembly were translationally repressed under ER stress. In contrast mRNAs for known UPR genes, including the UPR transcription factor HAC1, the ER-oxidoreductase ERO1 and the ER-associated protein degradation (ERAD) gene DER1 were enriched in polysomal fractions under ER stress conditions. In addition, we show that splicing of HAC1 mRNA is required for efficient ribosomal loading and that Gcn2p is required for normal HAC1 splicing, so shedding light on the role of this protein kinase in the UPR pathway.

Publication Title

Transcript-specific translational regulation in the unfolded protein response of Saccharomyces cerevisiae.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE61725
Novel transcripts associated with lymph node metastasis in triple negative breast cancer
  • organism-icon Homo sapiens
  • sample-icon 92 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st), Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part, Disease stage, Subject

View Samples
accession-icon GSE61724
Novel transcripts associated with lymph node metastasis in triple negative breast cancer [validation cohort]
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. The identification of biomarkers that can be used to predict which patient is likely to develop metastatic disease remains a priority since this is the major cause of cancer-related death in these women.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE61723
Novel transcripts associated with lymph node metastasis in triple negative breast cancer [discovery cohort]
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st), Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Triple negative breast cancer (TNBC) is the most aggressive breast cancer subtype with the worst prognosis. It is characterised by the absence of hormone receptors for estrogen, progesterone, and human epidermal growth factor 2, and as a consequence there are no targeted endocrine treatments available. TNBC patients are more likely to develop metastases and disease relapse than patients with other breast cancer subtypes. The identification of biomarkers that can be used to predict which patient is likely to develop metastatic disease remains a priority since this is the major cause of cancer-related death in these women.

Publication Title

Novel genes associated with lymph node metastasis in triple negative breast cancer.

Sample Metadata Fields

Specimen part, Disease stage, Subject

View Samples
accession-icon SRP082139
Time course analysis of gene expression during hypoxia in S. cerevisiae using RNA-Seq
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We used RNA-seq to monitor mRNA levels of all genes in response to hypoxia of wild-type yeast, S. cerevisiae (strain yMH914 with wildtype HAP1). To gain insights into how gene expression changes over time, cells were subjected to 100% nitrogen gas and collected after 0,5,10,30,60,120,180, and 240 minutes. Total RNA was extracted and mRNAs were enriched by polyA selection. The cDNA was prepared into a sequencing library, multiplexed and single-end sequenced by an Illumina HiSeq 2500 sequencer. After mapping with Tophat2, the number of reads per feature was calculated using HTSeq. Overall design: RNA-seq analysis of eight time points of a yeast strain grown in hypoxia. There are three biological replicates of the time course.

Publication Title

Time-Course Analysis of Gene Expression During the Saccharomyces cerevisiae Hypoxic Response.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE55650
p38 MAPK activation upregulates pro-inflammatory pathways in skeletal muscle cells from insulin resistant type 2 diabetic patients
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Skeletal muscle is the key site of peripheral insulin resistance in type 2 diabetes. Insulin-stimulated glucose uptake is decreased in differentiated diabetic myotubes in keeping with a retained genetic/epigenetic defect of insulin action.

Publication Title

p38 MAPK activation upregulates proinflammatory pathways in skeletal muscle cells from insulin-resistant type 2 diabetic patients.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP156606
RNA-seq analysis of paired kidney-infiltrating and splenic T cells in the MRL/lpr murine model of systemic lupus erythematosus.
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Purpose: The goal of this study is to compare the transcriptional phenotype of lymphoid and kidney-infiltrating T cell populations in the setting of systemic inflammatory disease to determine how tissue location alters their phenotype. Methods: mRNA profiles of T cells isolated from 23-week-old nephritic (protein score of 3+ on dipstick) mice were used in this study. T cells were isolated by flow cytometry gated on CD45+Thy1.1+CD44+ and either CD4 or CD8+ T cells. RNA was isolated using the RNeasy Plus Micro Kit (Qiagen). Samples were sequenced using Illumina NextSeq 500 with 75bp paired-end reads and aligned to the mm10 genome using the STAR aligner. The number of uniquely aligned reads ranged from 10 to 12 million. Using an optimized data analysis workflow, Gene-level counts were determined using featureCounts and raw counts were analyzed for differential expression using the “voom” method in the “limma” R package. Results: After determining genes that were differentially expressed between splenic T cells and KIT, we performed gene set enrichment analysis (GSEA. Differentially expressed genes were compared to several previously defined gene signatures that are characteristic of CD8+ and CD4+ T cell exhaustion in the chronic LCMV infection model and tumor infiltrating lymphocytes. Genes from the CD8+ exhaustion cluster were significantly enriched among genes that were differentially expressed in CD8+ KITs vs CD8+ splenocytes. Overall design: mRNA profiles of CD4 and CD8 T cells from spleen and kidney of 23 week old wild MRL/lpr mice were generated in triplicate by sequencing using Illumina NextSeq 500

Publication Title

Kidney-infiltrating T cells in murine lupus nephritis are metabolically and functionally exhausted.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

View Samples
...

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact