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accession-icon SRP031477
Transcriptome and proteome quantification of a tumor model provides novel insights into post-transcriptional gene regulation
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Genome-wide transcriptome analyses have allowed for systems- level insights into gene regulatory networks. Due to the limited depth of quantitative proteomics, however, our understanding of post-transcriptional gene regulation and its effects on protein complex stoichiometry are lagging behind. Here, we employ deep sequencing and iTRAQ technology to determine transcript and protein expression changes of a Drosophila brain tumour model at near genome-wide resolution. In total, we quantify more than 6,200 tissue-specific proteins, corresponding to about 70% of all transcribed protein-coding genes. Using our integrated data set, we demonstrate that post-transcriptional gene regulation varies considerably with biological function and is surprisingly high for genes regulating transcription. We combine our quantitative data with protein-protein interaction data and show that post-transcriptional mechanisms significantly enhance co-regulation of protein complex subunits beyond transcriptional co-regulation. Interestingly, our results suggest that only about 11% of the annotated Drosophila protein complexes are co-regulated in the brain. Finally, we refine the composition of some of these core protein complexes by analysing the co-regulation of potential subunits. Our comprehensive transcriptome and proteome data provide a rich resource for quantitative biology and offer novel insights into understanding post- transcriptional gene regulation in a tumour model. Overall design: Transcriptomes of 1-3 day old adult female Drosophila melanogaster heads of control and brat mutant were generated by deep sequencing, in triplicate, using Illumina GAIIx.

Publication Title

Transcriptome and proteome quantification of a tumor model provides novel insights into post-transcriptional gene regulation.

Sample Metadata Fields

Subject

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accession-icon SRP093281
Sorting zebrafish thrombocyte lineage cells with a Cd41 monoclonal antibody enriches hematopoietic stem cell activity
  • organism-icon Danio rerio
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaHiSeq2500

Description

The goal of the experiment was to determine the transcriptional expression profile of zebrafish thrombocytes in order to enable comparison with mouse and human platelets. Overall design: Thrombocyte isolation from Tg(cd41:EGFP) zebrafish peripheral blood was performed using a novel monoclonal antibody (3H9) to Cd41

Publication Title

Sorting zebrafish thrombocyte lineage cells with a Cd41 monoclonal antibody enriches hematopoietic stem cell activity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE61256
Obesity accelerates epigenetic aging of human liver
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Obesity accelerates epigenetic aging of human liver.

Sample Metadata Fields

Sex, Age, Disease, Subject

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accession-icon GSE61260
Human liver gene expression data from subjects of varying ages
  • organism-icon Homo sapiens
  • sample-icon 133 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

N=134 human liver samples from morbidly obese patients and healthy controls were analysed by array-based mRNA expression profiling. Liver messenger RNA expression datasets from the German patients were generated on the HuGene 1.1 ST gene array The purpose of the study was to correlate these gene expression data with body mass index and with an epigenetic measure of age acceleration based on DNA methylation data.

Publication Title

Obesity accelerates epigenetic aging of human liver.

Sample Metadata Fields

Sex, Age, Disease, Subject

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accession-icon GSE147708
Evidence of Y Chromosome LncRNAs involved in Radiation Response of Male Non-Small Cell Lung Cancer Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Numerous studies have implicated changes in the Y chromosome in male cancers, however few have investigated the biological importance of Y chromosome non-coding RNAs. Here, we demonstrate a group of Y chromosome-expressed long non-coding RNAs (lncRNAs) involved in male non-small cell lung cancer (NSCLC) radiation sensitivity. Radiosensitive male NSCLC cell lines demonstrated a dose-dependent induction of linc-SPRY3-2/3/4 following irradiation, not observed in radioresistant male NSCLC cell lines. Cytogenetics revealed the loss of chromosome Y (LOY) in the radioresistant male NSCLC cell lines. Gain- and loss-of-function experiments indicated that linc-SPRY3-2/3/4 transcripts affect cell viability and apoptosis. UV Cross-linking and Immunoprecipitation (CLIP) and RNA stability assays identify IGF2BP3 as a binding partner for the linc-SPRY3-2/3/4 RNAs which alters the half-life of the anti-apoptotic HMGA2 mRNA as well as the oncogenic c-MYC mRNA. To assess the clinical relevance of these findings, we examined the presence of the Y chromosome in NSCLC tissue microarrays and the expression of linc-SPRY3-2/3/4 in NSCLC RNAseq and microarray data. We observed a negative correlation between the loss of the Y chromosome or linc-SPRY3-2/3/4 and overall survival. Thus, linc-SPRY3-2/3/4 expression and LOY could represent an important marker of radiation therapy in NSCLC.

Publication Title

Y Chromosome LncRNA Are Involved in Radiation Response of Male Non-Small Cell Lung Cancer Cells.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE48452
Human liver biopsy of different phases from control to NASH
  • organism-icon Homo sapiens
  • sample-icon 72 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disorder in industrialized countries. Liver samples from morbidly obese patients (N=45) with all stages of NAFLD and controls (N=18) were analysed by array-based DNA methylation and mRNA expression profiling. NAFLD-specific expression and methylation differences were seen for nine genes coding for key enzymes in intermediate metabolism (including PC, ACLY, PLCG1) and insulin/insulin-like signalling (including IGF1, IGFBP2, PRKCE) and replicated by bisulfite pyrosequening (independent N=39). Transcription factor binding sites at NAFLD-specific CpG sites were >1000-fold enriched for ZNF274, PGC1A and SREBP2. Intra-individual comparison of liver biopsies before and after bariatric surgery showed NAFLD-associated methylation changes to be partially reversible. Post-bariatric and NAFLD-specific methylation signatures were clearly distinct both in gene-ontology and transcription factor binding site analyses, with >400-fold enrichment of NRF1, HSF1 and ESRRA sites. Our findings provide one of the first examples of treatment-induced epigenetic organ remodelling in humans.

Publication Title

DNA methylation analysis in nonalcoholic fatty liver disease suggests distinct disease-specific and remodeling signatures after bariatric surgery.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP126311
Single cell RNA sequencing of kidney tubuloids and the tissue that the tubuloids were derived from
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Adult Stem Cell (ASC )-derived organoids are 3D epithelial structures that recapitulate essential aspects of their organ of origin. We have developed conditions for the long-term growth of primary kidney tubular epithelial organoids ('tubuloids'). Cultures can be established from mouse and human kidney tissue, as well as from urine and can be expanded for at least 20 passages (> 6 months). The structures retain a normal number of chromosomes. Human tubuloids represent proximal as well as distal nephron segments, as evidenced by gene expression, immunofluorescence and tubular functional analyses. BK virus infection of tubuloids recapitulates in vivo phenomena. "Tumoroids" can be established from Wilms nephroblastoma. Kidney tubuloids from urine from a subject with Cystic Fibrosis (CF) allows ex vivo assessment of treatment efficacy. Finally, tubuloids cultured on microfluidic organ-on-a-chip plates adopt a tubular conformation and display active (trans-)epithelial transport function. Adult kidney-derived epithelial tubuloids allow studies of hereditary, infectious and malignant kidney disease in a personalized fashion. Overall design: We generated single cell transcriptome data of kidney tubuloids and the tissue that the tubuloids were derived from

Publication Title

Tubuloids derived from human adult kidney and urine for personalized disease modeling.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP126310
Bulk RNA sequencing of kidney tubuloids and the tissue that the tubuloids were derived from
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Adult Stem Cell (ASC )-derived organoids are 3D epithelial structures that recapitulate essential aspects of their organ of origin. We have developed conditions for the long-term growth of primary kidney tubular epithelial organoids ('tubuloids'). Cultures can be established from mouse and human kidney tissue, as well as from urine and can be expanded for at least 20 passages (> 6 months). The structures retain a normal number of chromosomes. Human tubuloids represent proximal as well as distal nephron segments, as evidenced by gene expression, immunofluorescence and tubular functional analyses. BK virus infection of tubuloids recapitulates in vivo phenomena. "Tumoroids" can be established from Wilms nephroblastoma. Kidney tubuloids from urine from a subject with Cystic Fibrosis (CF) allows ex vivo assessment of treatment efficacy. Finally, tubuloids cultured on microfluidic organ-on-a-chip plates adopt a tubular conformation and display active (trans-)epithelial transport function. Adult kidney-derived epithelial tubuloids allow studies of hereditary, infectious and malignant kidney disease in a personalized fashion. Overall design: We generated transcriptome data of kidney tubuloids and the tissue that the tubuloids were derived from

Publication Title

Tubuloids derived from human adult kidney and urine for personalized disease modeling.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon GSE83895
Transcriptome analysis of innate intestinal intraepithelial lymphocytes
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Characterization of intraepithelial ILC on the basis of CD8 and Ly49E expression

Publication Title

A Murine Intestinal Intraepithelial NKp46-Negative Innate Lymphoid Cell Population Characterized by Group 1 Properties.

Sample Metadata Fields

Specimen part

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accession-icon GSE103230
Profiling of transcripts expression in Rag2 KO and wild type mice spleen by BeadChip array analysis
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Purpose: The purpose of the study was to investigate the differential expression pattern of genes in Rag2 KO mice spleen compared to its wild type counterpart.

Publication Title

Microarray profiling of miRNA and mRNA expression in Rag2 knockout and wild-type mouse spleens.

Sample Metadata Fields

No sample metadata fields

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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