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accession-icon GSE100833
A functional genomics predictive network model identifies regulators of inflammatory bowel disease: Microarray Analysis of Human Blood and Intestinal Biopsy Samples from a Phase 2b, Double-blind, Placebo-controlled Study of Ustekinumab in Crohn's Disease
  • organism-icon Homo sapiens
  • sample-icon 477 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Microarray Analysis of Human Whole Blood and Intestinal Biopsy Samples from a Phase 2b, Multicenter, Randomized, Double-blind, Placebo-controlled, Parallel-group Study of Ustekinumab in Crohns Disease

Publication Title

A functional genomics predictive network model identifies regulators of inflammatory bowel disease.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Treatment

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accession-icon SRP077046
A functional genomics predictive network model identifies regulators of inflammatory bowel disease: Mount Sinai Hospital (MSH) Population Specimen Collection and Profiling of Inflammatory Bowel Disease
  • organism-icon Homo sapiens
  • sample-icon 125 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This study focuses on inflammatory bowel disease gene expression profiling. Surgical specimens from 134 patients undergoing bowel resection for inflammatory bowel disease (IBD) and non IBD controls at Mount Sinai Medical Center were collected as the source of tissue. Control samples (CLs) were harvested from normal non inflamed bowel located more than 10 cm away from the tumor from patients undergoing bowel resection for sporadic colon cancer. Ulcerative colitis (UC) and Crohn’s (CD) patient samples were all isolated from areas containing moderate to severe inflammation. The diagnostic pathology report for each specimen was provided by the Mount Sinai Hospital Pathology Department. Patients with UC and patients with CD shared common medications including corticosteroids, infliximab, azathioprine, and mesalamine. Overall design: Surgical specimens from 134 patients undergoing bowel resection for inflammatory bowel disease (IBD) and non IBD controls at Mount Sinai Medical Center were collected as the source of tissue. Control samples (CLs) were harvested from normal non inflamed bowel located more than 10 cm away from the tumor from patients undergoing bowel resection for sporadic colon cancer. Ulcerative colitis (UC) and Crohn’s (CD) patient samples were all isolated from areas containing moderate to severe inflammation. The diagnostic pathology report for each specimen was provided by the Mount Sinai Hospital Pathology Department. Patients with UC and patients with CD shared common medications including corticosteroids, infliximab, azathioprine, and mesalamine. The samples were collected fresh and the tissue was further processed for isolation. A representative 0.5 cm tissue fragment was isolated from the collected surgical specimen samples, flash frozen and stored at -80C. Tissue was homogenized in Trizol following the manufacturer''s protocol (Life Technologies) and RNA extraction was performed. RIN scores >7 were used for Poly A RNA-seq.

Publication Title

A functional genomics predictive network model identifies regulators of inflammatory bowel disease.

Sample Metadata Fields

Sex, Subject

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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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