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accession-icon SRP071758
Airway epithelial cells from smokers with and without bronchial premalignant lesions
  • organism-icon Homo sapiens
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

While lung cancer is the leading cause of cancer death in the US, we have a limited understanding of the earliest molecular events preceding the onset of disease. Prior work has demonstrated that cigarette smoke creates a molecular “field of injury” throughout the airway epithelium and that there are distinct alterations in the airway transcriptome among smokers who have lung cancer. Molecular characterization of this airway “field of injury” in current and former smokers with premalignant lesions (PMLs) could provide novel insights into the earliest molecular events associated with lung carcinogenesis and identify relatively accessible biomarkers to guide lung cancer detection and early intervention. Using mRNA sequencing (mRNA-Seq), we profiled 82 cytologically normal bronchial airway epithelial cells collected during autofluorescence bronchoscopy from high-risk smokers with and without bronchial PMLs, 75 of which were used in downstream analyses. We identified 280 genes differentially expressed in the “field of injury” between subjects with (n=50) and without (n=25) PMLs (FDR<0.002), 81 of which were up-regulated in subjects with PMLs. Oxidative phosphorylation (OXPHOS), the electron transport chain (ETC), and mitochondrial protein transport pathways were strongly enriched among these up-regulated genes (FDR<0.05). We next demonstrated that OXPHOS activation is shared between the “field” and the PMLs with increased oxygen consumption and increased staining for mitochondrial markers in biopsies of PMLs from patients as well as an animal model of lung squamous cell carcinoma (SCC) premalignancy. The 280-gene signature also has a significant concordant relationship to gene expression changes identified in PMLs adjacent to lung SCC tumors, in lung SCC tumors, and in the cytologically normal airway of individuals with lung cancer (FDR<0.05). These findings suggest that these expression changes are reflective of early cancer-associated changes occurring throughout the respiratory tract, and that pathways such as OXPHOS may be targets for chemoprevention. We subsequently developed an airway gene expression biomarker that predicts the presence of PMLs (AUC=0.92, n=17 samples in test set) and show that changes in the biomarker score are associated with progression and regression of PMLs in an independent cohort (AUC=0.75, n=51 samples). The biomarker results indicate that molecular alterations in the field of injury are dynamic with progression or regression of PMLs, suggesting that these changes may be leveraged to stratify high-risk smokers with progressive disease into early intervention trials and monitor disease progression or recurrence. Overall design: 82 mRNA-Seq samples from 25 smokers without PMLs, 50 smokers with PMLs, and 7 smokers with metaplasia.

Publication Title

Detecting the Presence and Progression of Premalignant Lung Lesions via Airway Gene Expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP071760
Airway epithelial cells from high-risk subjects obtained via multiple bronchoscopy procedures to follow bronchial premalignant lesions as part of lung cancer screening
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

While lung cancer is the leading cause of cancer death in the US, we have a limited understanding of the earliest molecular events preceding the onset of disease. Prior work has demonstrated that cigarette smoke creates a molecular “field of injury” throughout the airway epithelium and that there are distinct alterations in the airway transcriptome among smokers who have lung cancer. Molecular characterization of this airway “field of injury” in current and former smokers with premalignant lesions (PMLs) could provide novel insights into the earliest molecular events associated with lung carcinogenesis and identify relatively accessible biomarkers to guide lung cancer detection and early intervention. Using mRNA sequencing (mRNA-Seq), we profiled cytologically normal bronchial airway epithelial cells collected during autofluorescence bronchoscopy from high-risk smokers (n=75) with and without bronchial PMLs. We identified 280 genes differentially expressed in the “field of injury” between subjects with (n=50) and without (n=25) PMLs (FDR<0.002), 81 of which were up-regulated in subjects with PMLs. Oxidative phosphorylation (OXPHOS), the electron transport chain (ETC), and mitochondrial protein transport pathways were strongly enriched among these up-regulated genes (FDR<0.05). We next demonstrated that OXPHOS activation is shared between the “field” and the PMLs with increased oxygen consumption and increased staining for mitochondrial markers in biopsies of PMLs from patients as well as an animal model of lung squamous cell carcinoma (SCC) premalignancy. The 280-gene signature also has a significant concordant relationship to gene expression changes identified in PMLs adjacent to lung SCC tumors, in lung SCC tumors, and in the cytologically normal airway of individuals with lung cancer (FDR<0.05). These findings suggest that these expression changes are reflective of early cancer-associated changes occurring throughout the respiratory tract, and that pathways such as OXPHOS may be targets for chemoprevention. We subsequently developed an airway gene expression biomarker that predicts the presence of PMLs (AUC=0.92, n=17 samples in test set) and show that changes in the biomarker score are associated with progression and regression of PMLs in an independent cohort (AUC=0.75, n=51 samples). The biomarker results indicate that molecular alterations in the field of injury are dynamic with progression or regression of PMLs, suggesting that these changes may be leveraged to stratify high-risk smokers with progressive disease into early intervention trials and monitor disease progression or recurrence. Overall design: 51 mRNA-Seq samples from 23 subjects obtained via bronchscopy (18 subjects with 2 procedures, 5 subjects with 3 procedures).

Publication Title

Detecting the Presence and Progression of Premalignant Lung Lesions via Airway Gene Expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE45558
Expression data from BRAF-mutant melanoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Melanoma cell lines were assessed for differences in gene expression patterns between the lines sensitive and resistant to BRAF and MEK inhibitor drugs.

Publication Title

The transcription cofactor c-JUN mediates phenotype switching and BRAF inhibitor resistance in melanoma.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE55461
Microarray Gene Expression Analysis of control and UBF knockdown in NIH3T3 cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

UBF is an essential RNA Polymerase I (Pol I)-transcription factor. Our research investigates extra roles for UBF in regulation of Pol II gene expression. Our gene expression data identifies genes that are differentially regulated following UBF knockdown by siRNA.

Publication Title

A novel role for the Pol I transcription factor UBTF in maintaining genome stability through the regulation of highly transcribed Pol II genes.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon SRP043593
Microprocessor mediates transcription termination in long noncoding microRNA genes
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

MicroRNA (miRNA) play a major role in the post-transcriptional regulation of gene expression. In mammals most miRNA derive from the introns of protein coding genes where they exist as hairpin structures in the primary gene transcript, synthesized by RNA polymerase II (Pol II). These are cleaved co-transcriptionally by the Microprocessor complex, comprising DGCR8 and the RNase III endonuclease Drosha, to release the precursor (pre-)miRNA hairpin, so generating both miRNA and spliced messenger RNA1-4. However, a substantial minority of miRNA originate from Pol II-synthesized long non coding (lnc) RNA where transcript processing is largely uncharacterized5. Here, we show that most lnc-pri-miRNA do not use the canonical cleavage and polyadenylation (CPA) transcription termination pathway6, but instead use Microprocessor cleavage both to release pre-miRNA and terminate transcription. We present a detailed characterization of one such lnc-pri-miRNA that generates the highly expressed liver-specific miR-1227. Genome-wide analysis then reveals that Microprocessor-mediated transcription termination is commonly used by lnc-pri-miRNA but not by protein coding miRNA genes. This identifies a fundamental difference between lncRNA and pre-mRNA processing. Remarkably, inactivation of the Microprocessor can lead to extensive transcriptional readthrough of lnc-pri-miRNA, resulting in inhibition of downstream genes by transcriptional interference. Consequently we define a novel RNase III-mediated, polyadenylation-independent mechanism of Pol II transcription termination in mammalian cells. Overall design: Chromatin associated RNA-seq from sicntrl,siDrosha,siDGCR8 treated Hela cells. Same for sicntrl and siDGCR8 from Huh7 cells. Nuclear polyA + and polyA- RNA-seq from sicntrl and siDGCR8 in HeLa cells. Chromatin associated RNA-seq from siDicer treated Hela cells.

Publication Title

Microprocessor mediates transcriptional termination of long noncoding RNA transcripts hosting microRNAs.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP075449
Nuclear Surveillance of long intervening noncoding RNA
  • organism-icon Homo sapiens
  • sample-icon 94 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000, Illumina HiSeq 2500

Description

Numerous long intervening non-coding RNA (lincRNA) are generated from the mammalian genome by RNA polymerase II (Pol II) transcription. Although multiple functions have been ascribed to lincRNA, their synthesis and turnover remain poorly characterised. Here we define systematic differences in transcription and RNA processing between protein-coding and lincRNA genes in human HeLa cells. This is based on a range of nascent transcriptomic approaches applied to different nuclear fractions, including mammalian native elongating transcript sequencing (mNET-seq). Notably mNET-seq patterns specific for different Pol II CTD phosphorylation states reveal weak co-transcriptional splicing and poly(A) signal independent Pol II termination on lincRNA as compared to pre-mRNA. In addition, lincRNA are mostly restricted to chromatin where they are co-transcriptionally degraded by the RNA exosome. We also show that a lincRNA specific co-transcriptional RNA cleavage mechanism acts to induce premature termination. In effect functional lincRNA must escape from this targeted nuclear surveillance process. Overall design: We employed CTD phospho specific mNET-Seq with pla-B splicing inhibitor and RNA processing factors knockdown (DGCR8, Dicer1, EXOSC3 and CPSF73 proteins). mNET-seq experiments with 1% Empigen detergent treatment were performed to separate Pol II-associated complex from Pol II. We also analyzed subcellur RNA and pA+ and pA- nucleoplasm RNA libraries for RNA processing efficiency and the turnover. There are 4 raw files come from an illumina experiment (per sample), produced in 2 lanes. They were all mapped together.

Publication Title

Distinctive Patterns of Transcription and RNA Processing for Human lincRNAs.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE29538
Expression data of small intestine crypts and villi from mice with nutritional and genetic risk factors for intestinal tumors
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Nutritional and genetic risk factors for intestinal tumors are additive on mouse tumor phenotypes, demonstrating that diet and genetic factors impact risk by distinct combinatorial mechanisms. We analyzed expression profiles of small intestine crypts and villi from mice with nutritional and genetic risk factors. The results advanced our understanding of the mechanistic roles played by major risk factors in the pathogenesis of intestinal tumors.

Publication Title

Paneth cell marker expression in intestinal villi and colon crypts characterizes dietary induced risk for mouse sporadic intestinal cancer.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE37750
Gene expression data: Plasmacytoid dendritic cells (pDCs) of healthy donors and MS patientes before and after IFN beta treatment
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Multiple Sclerosis (MS) is an immune-mediated chronic inflammatory disease affecting the central nervous system. The cause of MS is not known and the mechanism of IFN-beta, a disease-modifying treatment (DMT) approved for MS, is not well-understood. Oligonucleotide microarrays were used to study gene expression in plasmacytoid denditic cells (pDCs) which are antigen-presenting cells implicated in MS pathogenesis.

Publication Title

Multiple sclerosis-linked and interferon-beta-regulated gene expression in plasmacytoid dendritic cells.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage, Subject

View Samples
accession-icon GSE84000
Specific metabolic activation of adipose tissue macrophages during obesity promotes inflammatory responses
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Recent studies have identified intracellular metabolism as a fundamental determinant of macrophage function. In obesity, proinflammatory macrophages accumulate in adipose tissue and trigger chronic low-grade inflammation, that promotes the development of systemic insulin resistance, yet changes in their intracellular energy metabolism are currently unknown. We therefore set out to study metabolic signatures of adipose tissue macrophages (ATMs) in lean and obese conditions. F4/80-positive ATMs were isolated from obese vs lean mice. High-fat feeding of wild-type mice and myeloid-specific Hif1-/- mice was used to examine the role of hypoxia-inducible factor-1 (HIF-1) in ATMs part of obese adipose tissue. In vitro, bone marrow-derived macrophages were co-cultured with adipose tissue explants to examine adipose tissue-induced changes in macrophage phenotypes. Transcriptome analysis, real-time flux measurements, ELISA and several other approaches were used to determine the metabolic signatures and inflammatory status of macrophages. In addition, various metabolic routes were inhibited to determine their relevance for cytokine production. Transcriptome analysis and extracellular flux measurements of mouse ATMs revealed unique metabolic rewiring in obesity characterised by both increased glycolysis and oxidative phosphorylation. Similar metabolic activation of CD14+ cells in obese individuals was associated with diabetes outcome. These changes were not observed in peritoneal macrophages from obese vs lean mice and did not resemble metabolic rewiring in M1-primed macrophages. Instead, metabolic activation of macrophages was dose-dependently induced by a set of adipose tissue-derived factors that could not be reduced to leptin or lactate. Using metabolic inhibitors, we identified various metabolic routes, including fatty acid oxidation, glycolysis and glutaminolysis, that contributed to cytokine release by ATMs in lean adipose tissue. Glycolysis appeared to be the main contributor to the proinflammatory trait of macrophages in obese adipose tissue. HIF-1, a key regulator of glycolysis, nonetheless appeared to play no critical role in proinflammatory activation of ATMs during early stages of obesity. Our results reveal unique metabolic activation of ATMs in obesity that promotes inflammatory cytokine release. Further understanding of metabolic programming in ATMs will most likely lead to novel therapeutic targets to curtail inflammatory responses in obesity.

Publication Title

Unique metabolic activation of adipose tissue macrophages in obesity promotes inflammatory responses.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE6919
Expression Data from Normal and Prostate Tumor Tissues
  • organism-icon Homo sapiens
  • sample-icon 503 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a), Affymetrix Human Genome U95B Array (hgu95b), Affymetrix Human Genome U95C Array (hgu95c)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression profiles of prostate cancer reveal involvement of multiple molecular pathways in the metastatic process.

Sample Metadata Fields

Age, Specimen part, Race

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)

fund-icon Fund the CCDL

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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