refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 39 results
Sort by

Filters

Technology

Platform

accession-icon GSE41956
Transcriptome analysis of A661 leaves
  • organism-icon Zea mays
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Maize Genome Array (maize)

Description

The maize inbred line A661 shows a characteristic phenotype when grown at suboptimal temperatures for three weeks and then is exposed to optimal temperatures for one extra week. After this period the third leaf showed two well defined sections: distal (chlorophyll-less; CL) and proximal (chlorophyll-containing; CC) sections. To further investigate the performance of the inbred line A661 under cold conditions a gene expression profiling analysis was conducted using large scale maize microarrays. A total of 1002 transcripts change their expression between both leaf sections and the majority of these codify for proteins located to the chloroplast.

Publication Title

Genetic regulation of cold-induced albinism in the maize inbred line A661.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38713
Expression data from intestinal mucosa of patients with UC
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ulcerative colitis (UC) is a chronic inflammatory disease of the colon with preiods of active disease followed by remission.

Publication Title

Transcriptional analysis of the intestinal mucosa of patients with ulcerative colitis in remission reveals lasting epithelial cell alterations.

Sample Metadata Fields

Sex, Age, Treatment

View Samples
accession-icon GSE52746
Expression data from intestinal mucosa of patients with CD under anti-TNF-alpha therapy.
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Crohn's Disease (CD) is a chronic inflammatory disease of the intestinal tract.

Publication Title

Identification of inflammatory mediators in patients with Crohn's disease unresponsive to anti-TNFα therapy.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

View Samples
accession-icon GSE75916
Expression data of epithelial organoid cultures generated from intestinal mucosa of non-IBD controls and patients with ulcerative colitis
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The transcriptional signature of mucosa of patients with ulcerative colitis (UC) in remission reveals long-lasting changes in the epithelial barrier which persist once the inflammatory response has resolved. In order to investigate if these changes are caused by primary defects in the epithelial cells, we generated in vitro epithelial organoid cultures (EpOCs) from colon samples of non-IBD controls and UC patients.

Publication Title

Alterations in the epithelial stem cell compartment could contribute to permanent changes in the mucosa of patients with ulcerative colitis.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE70469
Expression data from antigen-specific CD4+T cells from peripheral blood of patietns with CD and healthy controls.
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

Crohn's Disease (CD) is a chronic inflammatory disease of the intestinal tract.

Publication Title

Commensal-Specific CD4(+) Cells From Patients With Crohn's Disease Have a T-Helper 17 Inflammatory Profile.

Sample Metadata Fields

Sex, Age, Disease, Subject

View Samples
accession-icon GSE94648
Expression data from peripheral whole blood of non-IBD controls, CD and UC patients
  • organism-icon Homo sapiens
  • sample-icon 95 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ulcerative colitis (UC) is a chronic inflammatory disease of the colon with preiods of active disease followed by remission.

Publication Title

Usefulness of Transcriptional Blood Biomarkers as a Non-invasive Surrogate Marker of Mucosal Healing and Endoscopic Response in Ulcerative Colitis.

Sample Metadata Fields

Sex, Age, Specimen part, Disease stage, Treatment

View Samples
accession-icon GSE27993
Expression data from human periodontal ligament
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarrays to detect the differences in gene-expression of the periontal ligament between patients with healthy periodontal ligament and patients with periodontitis

Publication Title

The pathology of bone tissue during peri-implantitis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE57631
Comparison of the gene expression of periimplantitis affected peri-implant tissue and healthy peri-implant tissue in vivo in human.
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In this study we want to ascertain the differences and similarities of infected and inflammated peri implant tissue versus healthy peri implant tissue at the mRNA level.

Publication Title

The pathology of bone tissue during peri-implantitis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE97985
Cooperative Targets of Combined mTOR/HDAC Inhibition Promote MYC Degradation
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Cancer treatments often require combinations of molecularly targeted agents to be effective. mTORi (rapamycin) and HDACi (MS-275/entinostat) inhibitors have been shown to be effective in limiting tumor growth, and here we define part of the cooperative action of this drug combination. More than 60 human cancer cell lines responded synergistically (CI<1) when treated with this drug combination compared to single agents. In addition, a breast cancer patient-derived xenograft, and a BCL-XL plasmacytoma mouse model both showed enhanced responses to the combination compared to single agents. Mice, bearing plasma cell tumors lived an average of 70 days longer on combination treatment compared to single agents. A set of 37 genes cooperatively affected (34 down-regulated; 3 up-regulated) by the combination responded pharmacodynamically in human myeloma cell lines, xenografts, and a P493 model, and were both enriched in tumors, and correlated with prognostic markers in myeloma patient datasets. Genes down-regulated by the combination were overexpressed in several untreated cancers (breast, lung, colon, sarcoma, head and neck, myeloma) compared to normal tissues. The MYC/E2F axis, identified by upstream regulator analyses and validated by immunoblots, was significantly inhibited by the drug combination in several myeloma cell lines. Furthermore, 88% of the 34 genes downregulated have MYC binding sites in their promoters, and the drug combination cooperatively reduced MYC half-life by 55% and increased degradation. Thus, integrative approaches to understand drug synergy identified a clinically actionable strategy to inhibit MYC/E2F activity and tumor cell growth in vivo.

Publication Title

Cooperative Targets of Combined mTOR/HDAC Inhibition Promote MYC Degradation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP029933
Technical Variations in Low-Input RNA-seq Methodologies
  • organism-icon Mus musculus
  • sample-icon 52 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptomics data obtained from limiting amounts of mRNA is often noisy, providing primarily qualitative changes in transcript expressions. So far, technical variations arising out of the library preparation protocols have not been adequately characterized at reduced levels of mRNA. Here, we generated sequencing libraries from limiting amounts of mRNA using three amplification-based methods, viz. Smart-seq, DP-seq and CEL-seq, and demonstrated significant technical variations in these libraries. Reduction in mRNA levels led to inefficient amplification of the majority of low to moderately expressed transcripts. Furthermore, stochasticity in primer hybridization and/or enzyme incorporation was magnified during the amplification step resulting in significant distortions in fold changes of the transcripts. Consequently, the majority of the differentially expressed transcripts identified were either high-expressed and/or exhibited high fold changes. High technical variations, which were sequencing depth independent, ultimately masked subtle biological differences mandating the development of improved amplification-based strategies for quantitative transcriptomics from limiting amounts of mRNA. Overall design: Sequencing libraries were prepared from serial dilutions of mRNA, ranging from 1 ng to 25 pg, using three amplification-based methods, viz. Smart-seq, DP-seq and CEL-seq. The mRNA was derived from an in vitro model of lineage segregation achieved by modulating TGF beta signaling pathway in differentiating mouse embryonic stem cells.

Publication Title

Technical variations in low-input RNA-seq methodologies.

Sample Metadata Fields

Specimen part, 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