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accession-icon GSE85359
Gene expression data from the sham and irradiated lungs of three murine strains with well-characterized phenotypic variation in pulmonary radiation response.
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Intrinsic variations in the development of lung injury among patients undergoing radiotherapy for tumors in the thoracic region suggest there are one or more genes that influence the development and severity of radiation pneumonitis and/or fibrosis.

Publication Title

Pathophysiological mechanisms underlying phenotypic differences in pulmonary radioresponse.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52322
Novel linkages between DCE-MRI and genomic profiling in locally advanced and inflammatory breast cancer
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression signatures have the capacity to identify clinically significant features of breast cancer and can predict which individual patients are likely to be resistant to neoadjuvant therapy, thus providing the opportunity to guide treatment decisions.

Publication Title

Gene expression profiles of multiple breast cancer phenotypes and response to neoadjuvant chemotherapy.

Sample Metadata Fields

Specimen part

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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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