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accession-icon SRP071214
Sox2 is the determining oncogenic switch in promoting lung squamous cell carcinoma from different cells-of-origin
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Squamous cell carcinoma (SCC) of lung is a devastating malignancy with no effective treatments, due to its complex genomic profile. Therefore, pre-clinical models mimicking its salient features are urgently needed. Here we describe mouse models bearing various combinations of genetic lesions predominantly found in human SCC. We show that Sox2 but not Fgfr1 overexpression in tracheobronchial basal cells combined with Cdkn2ab and Pten loss results in SCC closely resembling the human counterpart. Interestingly, Sox2;Pten;Cdkn2ab mice develop SCC with a more peripheral location when Club or Alveolar type 2 (AT2) cells are targeted. Our model highlights the essential role of Sox2 in promoting a squamous cell fate from different cells-of-origin and represents an invaluable tool for the developing better intervention strategies. Overall design: After RNA extraction and Bioanalyzer analysis, we processed samples with high quality RNA profiles using Illumina Hiseq2500.

Publication Title

SOX2 Is the Determining Oncogenic Switch in Promoting Lung Squamous Cell Carcinoma from Different Cells of Origin.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE21858
Patterns of gene expression and evolution in the human developing cerebral cortex
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cerebral cortex underwent a rapid expansion and complexification during recent primate evolution, but the underlying developmental mechanisms remain essentially unknown.

Publication Title

Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE28582
Gene Copy Number Aberrations are Associated with Survival in Histological Subgroups of Non-Small Cell Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 100 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

Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE28571
Gene Copy Number Aberrations are Associated with Survival in Histological Subgroups of Non-Small Cell Lung Cancer (expression data)
  • organism-icon Homo sapiens
  • sample-icon 100 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Hypothesis: Non-small cell lung cancer (NSCLC) is characterized by a multitude of genetic aberrations with unknown clinical impact. In this study, we aimed to identify gene copy number changes that correlate with clinical outcome in NSCLC. To maximize the chance to identify clinically relevant events, we applied a strategy involving two prognostically extreme patient groups.

Publication Title

Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE33363
CD99 is a novel prognostic stromal marker in non-small cell lung cancer
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The delicate interaction between cancer cells and the surrounding stroma plays an essential role in all stages of tumourigenesis. Despite the significance of this interplay, alterations in protein composition underlying tumour-stroma interactions are largely unknown. The aim of this study was to identify stromal proteins with clinical relevance in non-small cell lung cancer.

Publication Title

CD99 is a novel prognostic stromal marker in non-small cell lung cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE22259
BRCA1 depletion effect on HeLa cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of HeLa cells following depletion of BRCA1 tumor supressor using RNAi against BRCA1. Results provide insight into the molecular mechanisms underlying loss of the BRCA1 function.

Publication Title

BRCA1 represses amphiregulin gene expression.

Sample Metadata Fields

Treatment

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accession-icon SRP075828
NFIB is a driver of SCLC initiation, progression and metastasis in mouse and marks metastatic disease in patients
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Small Cell Lung Cancer (SCLC) is the most aggressive type of lung cancer with early metastatic dissemination and invariable development of resistant disease for which no effective treatment is available to date. Mouse models of SCLC based on inactivation of Rb1 and Trp53 developed earlier showed frequent amplifications of two transcription factor genes: Nfib and Mycl. Overexpression of Nfib but not Mycl in SCLC mouse results in an enhanced and altered metastatic profile, and appears to be associated with genomic instability. NFIB promotes tumor heterogeneity with the concomitant expansive growth of poorly differentiated, highly proliferative, and invasive tumor cell populations. Consistent with the mouse data, NFIB expression in high-grade human neuroendocrine carcinomas correlates with advanced stage III/IV disease warranting its further assessment as a potentially valuable progression marker in a clinical setting. Overall design: Genomic DNA from mouse small cell lung tumor samples was analyzed by mate pair sequencing and low coverage sequencing. And RNA from Nfib overexpressing mouse small cell lung cancer cell lines was further analyzed for high quality RNA profiles using Illumina Hiseq2500. This series contains only RNA-seq data.

Publication Title

Transcription Factor NFIB Is a Driver of Small Cell Lung Cancer Progression in Mice and Marks Metastatic Disease in Patients.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP026126
The ABRF Next-Generation Sequencing Study (ABRF-NGS): Multi-platform and cross-methodological reproducibility of transcriptome profiling by RNA-seq [Illumina HiSeq 2500]
  • organism-icon Homo sapiens
  • sample-icon 419 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Next-generation sequencing (NGS) technology applications like RNA-sequencing (RNA-seq) have dramatically expanded the potential for novel genomics discoveries, but the proliferation of various platforms and protocols for RNA-seq has created a need for reference data sets to help gauge the performance characteristics of these disparate methods. Here we describe the results of the ABRF-NGS Study on RNA-seq, which leverages replicate experiments across multiple sites using two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). These results show high (R2 >0.9) intra-platform consistency across test sites, high inter-platform concordance (R2 >0.8) for transcriptome profiling, and a large set of novel splice junctions observed across all platforms. Also, we observe that protocols using ribosomal RNA depletion can both salvage degraded RNA samples and also be readily compared to polyA-enriched fractions. These data provide a broad foundation for standardization, evaluation and improvement of RNA-seq methods. Overall design: Two reference RNA standards tested with four protocols (polyA selected, ribo-depleted, size selected, and degraded RNA), and examined across five NGS platforms (Illumina’s HiSeqs, Life Technologies’ Personal Genome Machine and Proton, Roche 454 GS FLX, and Pacific Biosciences RS). Please note that the samples were named following the ABRF-Platform-Site-Sample-Replicate# format. For example, ABRF-454-CNL-A-1 means Sample A was run on 454 platform at Cornell and this is the first replicate, and ABRF-454-CNL-A-2 means the same exact sample was ran with same machine at same location and is 2nd replicate.

Publication Title

RNA-seq of human reference RNA samples using a thermostable group II intron reverse transcriptase.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE42220
Gene expression data from differentiated 3T3-L1 preadipocytes treated with Palmitic Acid, Stearic Acid, Palmitoleic Acid, or Oleic Acid
  • organism-icon Mus musculus
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Saturated fatty acids (SFA) are widely thought to induce inflammation in adipose tissue (AT), while monounsaturated fatty acids (MUFA) are purported to have the opposite effect; however, it is unclear if individual SFA and MUFA behave similarly. Our goal was to examine adipocyte transcriptional networks regulated by individual SFA (palmitic acid, PA; stearic acid, SA) and MUFA (palmitoleic acid, PMA; oleic acid, OA).

Publication Title

Individual saturated and monounsaturated fatty acids trigger distinct transcriptional networks in differentiated 3T3-L1 preadipocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE74143
Whole blood gene expression from subjects with moderate to severe rheumatoid arthritis
  • organism-icon Homo sapiens
  • sample-icon 376 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Whole blood (paxgene) gene expression was measured using Affymetrix microarray from 377 individuals with rheumatoid arthritis.

Publication Title

Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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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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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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