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accession-icon GSE3593
Genomic approach to refine prognosis for adjuvant therapy in early stage non-small cell lung carcinoma
  • organism-icon Homo sapiens
  • sample-icon 198 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Abstract from paper - Potti A, et al

Publication Title

A genomic strategy to refine prognosis in early-stage non-small-cell lung cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3143
Breast Cancer Dataset
  • organism-icon Homo sapiens
  • sample-icon 158 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE3149
Ovarian Cancer Dataset
  • organism-icon Homo sapiens
  • sample-icon 153 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3141
Lung Cancer Dataset
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3151
Oncogene Signature Dataset
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Signatures of Oncogenic Pathway Deregulation in Human Cancers

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE3156
Breast Cancer Cell Lines
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis on growing breast cancer cell lines.

Publication Title

Oncogenic pathway signatures in human cancers as a guide to targeted therapies.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE157011
Multi-institutional prospective validation of prognostic mRNA signatures in early stage squamous lung cancer (Alliance)
  • organism-icon Homo sapiens
  • sample-icon 484 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Multi-Institutional Prospective Validation of Prognostic mRNA Signatures in Early Stage Squamous Lung Cancer (Alliance).

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE157009
Multi-institutional prospective validation of prognostic mRNA signatures in early stage squamous lung cancer (Alliance) [cohort I]
  • organism-icon Homo sapiens
  • sample-icon 249 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: The primary objective of the current study was to validate biomarkers to identify the 10% to 27% of patients with stage I and 35% of patients with stage IIA squamous cell carcinoma of lung (SC) who are likely to recur following surgical resection, so that these patients may be offered enrollment in clinical trials evaluating directed ACT. A secondary objective was to identify patients with stage IIB SC who are unlikely to develop recurrences and might thereby be spared the potential significant toxicity and expense of ACT.

Publication Title

Multi-Institutional Prospective Validation of Prognostic mRNA Signatures in Early Stage Squamous Lung Cancer (Alliance).

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon GSE157010
Multi-institutional prospective validation of prognostic mRNA signatures in early stage squamous lung cancer (Alliance) [Cohort II]
  • organism-icon Homo sapiens
  • sample-icon 235 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: The primary objective of the current study was to validate biomarkers to identify the 10% to 27% of patients with stage I and 35% of patients with stage IIA squamous cell carcinoma of lung (SC) who are likely to recur following surgical resection, so that these patients may be offered enrollment in clinical trials evaluating directed ACT. A secondary objective was to identify patients with stage IIB SC who are unlikely to develop recurrences and might thereby be spared the potential significant toxicity and expense of ACT.

Publication Title

Multi-Institutional Prospective Validation of Prognostic mRNA Signatures in Early Stage Squamous Lung Cancer (Alliance).

Sample Metadata Fields

Sex, Age, Specimen part, Disease

View Samples
accession-icon SRP066672
Mitochondrial unfolded protein response controls matrix pre-RNA processing and translation
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The mitochondrial matrix is unique in that it must integrate folding and assembly of proteins derived from nuclear and mitochondrial genomes. In C. elegans, the mitochondrial unfolded protein response (UPRmt) senses matrix protein misfolding and induces a program of nuclear gene expression, including mitochondrial chaperonins, to promote mitochondrial proteostasis. While misfolded mitochondrial matrix-localized ornithine trans-carbamylase (OTC) induces chaperonin expression, our understanding of mammalian UPRmt is rudimentary, reflecting a lack of acute triggers for UPRmt activation. This limitation has prevented analysis of the cellular responses to matrix protein misfolding and the effects of UPRmt on mitochondrial translation to control protein folding loads. Here, we combine pharmacological inhibitors of matrix-localized HSP90/TRAP1 or LON protease, which promote chaperonin expression, with global transcriptional and proteomic analysis to reveal an extensive and acute response of human cells to UPRmt. This response involved widespread induction of nuclear genes, including matrix-localized proteins involved in folding, pre-RNA processing and translation. Functional studies revealed rapid but reversible translation inhibition in mitochondria occurring concurrently with defects in pre-RNA processing due to transcriptional repression and LON-dependent turnover of the mitochondrial pre-RNA processing nuclease MRPP3. This study reveals that acute mitochondrial protein folding stress activates both increased chaperone availability within the matrix and reduced matrix-localized protein synthesis through translational inhibition, and provides a framework for further dissection of mammalian UPRmt. Overall design: triplicate experiment of 2 conditions (untreated, GTPP treatment)

Publication Title

Mitochondrial unfolded protein response controls matrix pre-RNA processing and translation.

Sample Metadata Fields

No sample metadata fields

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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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