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accession-icon GSE7669
Synovial fibroblasts, RA versus OA
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

mRNA expression levels in synovial fibroblasts in 6 rheumatoid arthritis patients versus 6 osteoarthritis patients.

Publication Title

Constitutive upregulation of the transforming growth factor-beta pathway in rheumatoid arthritis synovial fibroblasts.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE109186
Expression data from erythroblast (CD71 and GPA positive cells) derived from fetal liver and adult blood
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The fetal hemoglobin (HbF) levels were 95.4 1.5% and 4.4 0.2% in fetal liver-derived and adult blood derived-cultured erythrocytes (n=5), respectively. Following RNA isolation from the CD71 high/GPA positive erythroblasts, gene expression analyses were performed using Affymetrix Human Gene 2.0 ST Array.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon SRP077553
Transcriptome profile and gene expression in the human placenta
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In this study, we performed a NGS analysis to identify transcriptome landscape of the human placenta during uncomplicated single and twin pregnancy, to establish a pattern of normal placental genes expression for further comprehensive analyses. Additionall aim of these studies was to identify the differentially expressed transcripts of genes in single and twin pregnancy that may participate in human pregnancy.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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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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