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accession-icon GSE60645
Genome-wide DNA methylation and expression analysis of lung carcinoma
  • organism-icon Homo sapiens
  • sample-icon 117 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide DNA methylation analysis of lung carcinoma reveals one neuroendocrine and four adenocarcinoma epitypes associated with patient outcome.

Sample Metadata Fields

Disease, Disease stage

View Samples
accession-icon GSE60644
Genome-wide DNA methylation analysis of lung carcinoma : Gene expression data
  • organism-icon Homo sapiens
  • sample-icon 117 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Lung cancer is the worldwide leading cause of death from cancer. DNA methylation in gene promoter regions is a major mechanism of gene expression regulation that may promote tumorigenesis. Experimental Design Whole-genome DNA methylation analysis using 450K Illumina BeadArrays was performed on 12 normal lung tissues and 124 tumors including 83 adenocarcinomas, 23 squamous cell carcinomas (SqCC), one adenosquamous cancer, five large cell carcinomas, nine large cell neuroendocrine carcinomas (LCNEC), and three small cell carcinomas (SCLC). Complimentary gene expression analyses was performed on 117 of the 124 tumors using Illumina HT12 V4 arrays (reported here).

Publication Title

Genome-wide DNA methylation analysis of lung carcinoma reveals one neuroendocrine and four adenocarcinoma epitypes associated with patient outcome.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE106091
Genes regulated by TTF-1 in small cell lung cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To investigate genes possibly regulated by TTF-1 in small cell lung cancer cell lines, we compared gene expression profiles of NCI-H209 and Lu139 cell lines electroporated with control and TTF-1 siRNAs.

Publication Title

An integrative transcriptome analysis reveals a functional role for thyroid transcription factor-1 in small cell lung cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE94601
Molecular profiling of 159 primary lung carcinomas
  • organism-icon Homo sapiens
  • sample-icon 159 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Molecular profiling of 159 lung cancers of different histological subtypes. A primary objective is to identify gene expression differences between histological subtypes. Sample overlap exist with GSE60644

Publication Title

Gene Expression Profiling of Large Cell Lung Cancer Links Transcriptional Phenotypes to the New Histological WHO 2015 Classification.

Sample Metadata Fields

Sex, Age

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accession-icon SRP127964
Transcriptome analysis of VMRC-LCD cells following ASCL1 knockdown
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

ASCL1 is a master transcription factor for neuroendocrine differentiation. RNA-sequencing analysis on VMRC-LCD cells following ASCL1 knockdown revealed a subset of genes possibly regulated by ASCL1. Overall design: VMRC-LCD cells were transfected with siRNAs for ASCL1, and RNA-sequencing was performed using Illumina HiSeq.

Publication Title

An Integrative Analysis of Transcriptome and Epigenome Features of ASCL1-Positive Lung Adenocarcinomas.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE38602
Transcriptional response to tetanus vaccination in porcine PBMCs
  • organism-icon Sus scrofa
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Three groups of German Landrace piglets were vaccinated with tetanus toxoid. Transcriptome profiles of PBMC were analysed from blood samples taken 0, 2, 4, 8, 24 and 75 hours after a first vaccination and 0, 2, 4, 8, 24 and 75 hours as well as 14 d after a second vaccination on day 14.

Publication Title

Transcriptomic response of porcine PBMCs to vaccination with tetanus toxoid as a model antigen.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP017575
Two New Stromal Signatures Stratify Breast Cancers with Different Prognosis
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Purpose: Multiple studies from last decades have shown that the microenvironment of carcinomas plays an important role in the initiation, progression and metastasis of cancer. Our group has previously identified novel cancer stroma gene expression signatures associated with outcome differences in breast cancer by gene expression profiling of two tumors of fibroblasts as surrogates for physiologic stromal expression patterns. The aim of this study is to find additional new types of tumor stroma gene expression patterns. Results: 53 tumors were sequenced by 3SEQ with an average of 29 million reads per sample. Both the elastofibroma (EF) and fibroma of tendon sheath (FOTS) gene signatures demonstrated robust outcome results for survival in the four breast cancer datasets. The EF signature positive breast cancers (20-33% of the cohort) demonstrated significantly better outcome for survival. In contrast, the FOTS signature positive breast cancers (11-35% of the cohort) had a worse outcome. The combined stromal signatures of EF, FOTS, and our previously identified DTF, and CSF1 signatures characterize, in part, the stromal expression profile for the tumor microenvironment for between 74%-90% of all breast cancers. Conclusions: We defined and validated two new stromal signatures in breast cancer (EF and FOTS), which are significantly associated with prognosis. Overall design: Gene expression profiling by 3SEQ was performed on 8 additional types of fibrous tumors, to identify different fibrous tumor specific gene expression signatures. We then determined the significance of the fibrous tumor gene signatures in four publically available breast cancer datasets (GSE1456, GSE4922, GSE3494, NKI Dataset).

Publication Title

Next generation sequencing-based expression profiling identifies signatures from benign stromal proliferations that define stromal components of breast cancer.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP023262
A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

The earliest recognizable stages of breast neoplasia are lesions that represent a heterogeneous collection of epithelial proliferations currently classified based on morphology. Their role in the development of breast cancer is not well understood but insight into the critical events at this early stage will improve efforts in breast cancer detection and prevention. These microscopic lesions are technically difficult to study so very little is known about their molecular alterations. To characterize the transcriptional changes of early breast neoplasia, we sequenced 3''- end enriched RNAseq libraries from formalin-fixed paraffin-embedded tissue of early neoplasia samples and matched normal breast and carcinoma samples from 25 patients. We find that gene expression patterns within early neoplasias are distinct from both normal and breast cancer patterns and identify a pattern of pro-oncogenic changes, including elevated transcription of ERBB2, FOXA1, and GATA3 at this early stage. We validate these findings on a second independent gene expression profile data set generated by whole transcriptome sequencing. Measurements of protein expression by immunohistochemistry on an independent set of early neoplasias confirms that ER pathway regulators FOXA1 and GATA3, as well as ER itself, are consistently upregulated at this early stage. The early neoplasia samples also demonstrate coordinated changes in long non-coding RNA expression and microenvironment stromal gene expression patterns. This study is the first examination of global gene expression in early breast neoplasia, and the genes identified here represent candidate participants in the earliest molecular events in the development of breast cancer. Overall design: 3SEQ was performed on 72 FFPE human breast samples from 25 patients: 24 normal, 25 early neoplasia, 9 carcinoma in situ, and 14 invasive cancer

Publication Title

A shared transcriptional program in early breast neoplasias despite genetic and clinical distinctions.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE104634
Analysis of microarray data reliability and pathway networks using experimental formalin-fixed paraffin-embedded tissue
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

We assessed the usability of microarrays, which base on formalin-fixed paraffin-embedded (FFPE) tissue.

Publication Title

Systematic evaluation of RNA quality, microarray data reliability and pathway analysis in fresh, fresh frozen and formalin-fixed paraffin-embedded tissue samples.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE104568
Systematic evaluation of RNA quality and microarray data reliability in formalin-fixed paraffin-embedded and fresh frozen tissue samples
  • organism-icon Homo sapiens, Rattus norvegicus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Systematic evaluation of RNA quality, microarray data reliability and pathway analysis in fresh, fresh frozen and formalin-fixed paraffin-embedded tissue samples.

Sample Metadata Fields

Specimen part, Disease

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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