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accession-icon GSE15946
Determining lovastatin-induced differences in expression between statin sensitive and insensitive MM cells
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The goals of this study were to determine global differences in transcript expression and regulation between MM cells that are sensitive or insensitive to lovastatin-induced apoptosis. To this end, two sensitive (KMS11 and H929) and two insensitive (LP1 and SKMM1) MM cell lines treated with 20uM lovastatin or an ethanol vehicle control for 16 hours. mRNA was extracted and prepared for mRNA expression microarrays (HG-U133 Plus 2) in triplicate.

Publication Title

Exploiting the mevalonate pathway to distinguish statin-sensitive multiple myeloma.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon SRP079965
Sequential loss of plasticity during trophectoderm and inner cell mass lineage segregation in the mouse embryo
  • organism-icon Mus musculus
  • sample-icon 292 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We report the whole transcriptome data of single-cells derived from the early 16-cell stage to the 64-cell stage in the mouse embryo. Overall design: RNA from 262 cells from 36 mouse embryos (16- to 64-cell stage)

Publication Title

Position- and Hippo signaling-dependent plasticity during lineage segregation in the early mouse embryo.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE50081
Validation of a histology-independent prognostic gene signature for early stage, non-small cell lung cancer including stage IA patients
  • organism-icon Homo sapiens
  • sample-icon 178 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Patients with early stage non-small cell lung carcinoma (NSCLC) may benefit from treatments based on more accurate prognosis. A 15-gene prognostic classifier for NSCLC was identified from mRNA expression profiling of tumor samples from the NCIC CTG JBR.10 trial. Here, we assessed its value in an independent set of cases.

Publication Title

Validation of a histology-independent prognostic gene signature for early-stage, non-small-cell lung cancer including stage IA patients.

Sample Metadata Fields

Sex, Age

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accession-icon GSE13155
Comparison of mouse placental labyrinth and human villus tree
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

An important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human placenta and mouse placenta show structural similarities but there has been no systematic attempt to assess their molecular similarities or differences. We built a comprehensive database of protein and microarray data for the highly vascular exchange region micro-dissected from the human and mouse placenta near-term. Abnormalities in this region are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ~5% of all pregnancies.

Publication Title

Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE5787
Survey of Intra- and Inter-Tumour Heterogeneity of Gene Expression in Cervical Cancer
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Purpose: To explore intratumor heterogeneity in gene expression profiles from patients with cervical cancer.

Publication Title

Gene expression profiling in cervical cancer: an exploration of intratumor heterogeneity.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE6077
nmyc misexpression in lung (gain of function)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Understanding how lung progenitor cells balance

Publication Title

Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE6079
expression comparison of wildtype lungs and hypomorphic for nmyc
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

comparison of expression of wildtype lungs and lungs with hypomorphic expression of nmyc. the lungs were pooled from several biological samples. The hypomorphoic mutant was orignally published in Moens CB et al [PMID: 1577267]. this is part of a larger collection of data comparing nmyc misexpression in the lung (gain of fucntion) and protein expression in the hypomorphic lungs.

Publication Title

Integrated proteomic and transcriptomic profiling of mouse lung development and Nmyc target genes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE14814
Prognostic and Predictive Gene Signature for Adjuvant Chemotherapy in Resected Non-Small-Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Purpose: The JBR.10 trial demonstrated benefit from adjuvant cisplatin/vinorelbine (ACT) in early-stage non-small-cell lung cancer (NSCLC). We hypothesized that expression profiling may identify stage-independent subgroups who might benefit from ACT.

Publication Title

Prognostic and predictive gene signature for adjuvant chemotherapy in resected non-small-cell lung cancer.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE22874
Prognostic Gene Expression Signature of Carcinoma Associated Fibroblasts in Non-Small Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The tumor microenvironment strongly influences cancer development, progression and metastasis. The role of carcinoma-associated fibroblasts (CAFs) in these processes and their clinical impact has not been studied systematically in non-small cell lung carcinoma (NSCLC). We established primary cultures of CAFs and matched normal fibroblasts (NFs) from 15 resected NSCLC. We demonstrate that CAFs have greater ability than NFs to enhance the tumorigenicity of lung cancer cell lines. Microarray gene expression analysis of the 15 matched CAF and NF cell lines identified 46 differentially expressed genes, encoding for proteins that are significantly enriched for extracellular proteins regulated by the TGF-beta signaling pathway. We have identified a subset of 11 genes that formed a prognostic gene expression signature, which was validated in multiple independent NSCLC microarray datasets. Functional annotation using protein-protein interaction analyses of these and published cancer stroma-associated gene expression changes revealed prominent involvement of the focal adhesion and MAPK signalling pathways. Fourteen (30%) of the 46 genes also were differentially expressed in laser-capture micro-dissected corresponding primary tumor stroma compared to the matched normal lung. Six of these 14 genes could be induced by TGF-beta1 in NF. The results establish the prognostic impact of CAF-associated gene expression changes in NSCLC patients.

Publication Title

Prognostic gene-expression signature of carcinoma-associated fibroblasts in non-small cell lung cancer.

Sample Metadata Fields

Sex, Age, Disease, Disease stage, Cell line

View Samples
accession-icon GSE22862
Prognostic Gene Expression Signature of Carcinoma Associated Fibroblasts in Non-Small Cell Lung Cancer [expression profiling_CAFs]
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

The tumor microenvironment strongly influences cancer development, progression and metastasis. The role of carcinoma-associated fibroblasts (CAFs) in these processes and their clinical impact has not been studied systematically in non-small cell lung carcinoma (NSCLC). We established primary cultures of CAFs and matched normal fibroblasts (NFs) from 15 resected NSCLC. We demonstrate that CAFs have greater ability than NFs to enhance the tumorigenicity of lung cancer cell lines. Microarray gene expression analysis of the 15 matched CAF and NF cell lines identified 46 differentially expressed genes, encoding for proteins that are significantly enriched for extracellular proteins regulated by the TGF-beta signaling pathway. We have identified a subset of 11 genes that formed a prognostic gene expression signature, which was validated in multiple independent NSCLC microarray datasets. Functional annotation using protein-protein interaction analyses of these and published cancer stroma-associated gene expression changes revealed prominent involvement of the focal adhesion and MAPK signalling pathways. Fourteen (30%) of the 46 genes also were differentially expressed in laser-capture micro-dissected corresponding primary tumor stroma compared to the matched normal lung. Six of these 14 genes could be induced by TGF-beta1 in NF. The results establish the prognostic impact of CAF-associated gene expression changes in NSCLC patients.

Publication Title

Prognostic gene-expression signature of carcinoma-associated fibroblasts in non-small cell lung cancer.

Sample Metadata Fields

Sex, Age, Disease, Disease stage, Cell line

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)

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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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