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accession-icon GSE9254
Normal human colorectal mucosa, cecum, ascending, transverse, sigmoid and rectum
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Normal human colorectal mucosa was sampled at points along the colon.

Publication Title

Map of differential transcript expression in the normal human large intestine.

Sample Metadata Fields

Specimen part

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accession-icon SRP078134
Identification of a nuclear exosome decay pathway for processed transcripts
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The RNA exosome is fundamental for the degradation of RNA in eukaryotic nuclei. Substrate targeting is facilitated by its co-factor Mtr4p/hMTR4, which links to RNA-binding protein adaptors. One such activity is the human Nuclear EXosome Targeting (NEXT) complex, composed of hMTR4, the Zn-finger protein ZCCHC8 and the RNA-binding factor RBM7. NEXT primarily targets early and unprocessed transcripts, demanding a rationale for how the nuclear exosome recognizes processed RNAs. Here, we describe the PolyA tail eXosome Targeting (PAXT) connection, comprising the hitherto uncharacterized ZFC3H1 Zn-knuckle protein as a central link between hMTR4 and the nuclear polyA binding protein PABPN1. Individual depletion of ZFC3H1 and PABPN1 results in the accumulation of common transcripts, that are generally both longer and more 3'polyadenylated than NEXT substrates. Importantly, ZFC3H1/PABPN1 and ZCCHC8/RBM7 contact hMTR4 in a mutually exclusive manner, revealing that the exosome targets nuclear transcripts of different maturation status by substituting its hMTR4-associating adaptors. Overall design: RNA from HeLa cells was analysed by next generation sequencing upon depletion of EGFP(control), RRP40, RBM7, ZCCHC8, PABPN1 and ZFC3H1. Both total and BrU RNA (one hour labeling) were collected for each condition in triplicates. The spike-in sequences used in the samples can be provided upon request.

Publication Title

Characterizing ZC3H18, a Multi-domain Protein at the Interface of RNA Production and Destruction Decisions.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP107322
ARS2 is a general suppressor of pervasive transcription [RNAseq]
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Termination of transcription is important for establishing gene punctuation marks. It is also critical for suppressing many of the pervasive transcription events occurring throughout eukaryotic genomes and coupling their RNA products to efficient decay. In human cells, the ARS2 protein has been implicated in such function as its depletion causes transcriptional read-through of selected gene terminators and because it physically interacts with the ribonucleolytic nuclear RNA exosome. Here, we study the role of ARS2 on transcription and RNA metabolism genome-wide. We show that ARS2 depletion negatively impacts levels of promoter-proximal RNA polymerase II (RNAPII) at protein-coding (pc) genes, Moreover, our results reveal a general role of ARS2 in transcription termination-coupled RNA turnover at short transcription units like snRNA-, replication dependent histone (RDH)-, promoter upstream transcript (PROMPT)- and enhancer RNA (eRNA)-loci. Depletion of the ARS2 interaction partner ZC3H18 mimics the ARS2 depletion, although to a milder extent, whereas depletion of the exosome core subunit RRP40 only impacts RNA abundance post-transcriptionally. Interestingly, ARS2 is also involved in transcription termination events within first introns of pc genes. Our work therefore establishes ARS2 as a general suppressor of pervasive transcription with the potential to regulate protein-coding gene expression. Overall design: RNA from HeLa cells was analysed by next generation sequencing upon depletion of EGFP(control), ARS2(SRRT), ZC3H18 and CBP80. Total RNA was collected for each condition in triplicates.

Publication Title

Characterizing ZC3H18, a Multi-domain Protein at the Interface of RNA Production and Destruction Decisions.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP059057
Transcriptome analysis of CD4+ T cells reveals imprint of BACH2 and IFN? regulation
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We used RNA sequencing to profile over 70 transcriptomes of CD4+ T cells, a cell type crucial for Coeliac Disease CD pathogenesis, in both stimulated and resting samples from individuals with CD and unaffected controls The data gave us the opportunity to (i) compare gene expression between cases and controls; (ii) specifically assess whether genes that have been genetically associated with the disease were being DE; (iii) and also look for known and novel aspects of pathogenesis in the transcriptome of this specific cellular compartment. Overall design: RNA sequencing was performed on mRNA extracted from the CD4+ T cells of 15 Coeliac patients and 11 Controls that had been stimulated with anti-CD3/anti-CD28, PMA and left unstimulated. In total we sequenced 74 transcriptome samples using 50bp reads on an Illumina HiSeqâ„¢ 2000.

Publication Title

Transcriptome Analysis of CD4+ T Cells in Coeliac Disease Reveals Imprint of BACH2 and IFNγ Regulation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26869
Regulation of myogenic progenitor proliferation in human fetal skeletal muscle by BMP4 and its antagonist Gremlin.
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Analysis of the transcriptome of mononuclear side population (SP) and main population (MP) cells of human fetal skeletal muscle from 12 human subjects of gestational age 14-18 weeks.

Publication Title

Regulation of myogenic progenitor proliferation in human fetal skeletal muscle by BMP4 and its antagonist Gremlin.

Sample Metadata Fields

Specimen part

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accession-icon GSE72240
Expression data from fetal sheep immunocytes
  • organism-icon Ovis aries
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Ovine Gene 1.1 ST Array (ovigene10st)

Description

study investigating the initiation of systemic inflammatory signaling in fetuses exposed to TLR-4 agonist lipopolysaccharides from E.coli

Publication Title

Outside-in? Acute fetal systemic inflammation in very preterm chronically catheterized sheep fetuses is not driven by cells in the fetal blood.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE18300
Hypoxia related splice variants in HNSCC
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

The identifcation of alternatively spliced transcript variants specific to particular biological processes in tumours should increase our understanding of cancer. Hypoxia is an important factor in cancer biology and associated splice variants may present new markers to help with planning treatment. A method was developed to analyse alternative splicing in exon array data, using probeset multiplicity to identify genes with changes in expression across their loci, and a combination of the splicing index and a new metric based on the variation of reliability weighted fold changes to detect changes in the splicing patterns. The approach was validated on a cancer/normal sample dataset in which alternative splicing events had been confirmed using RT-PCR. We then analysed ten head and neck squamous cell carcinomas using exon arrays and identified differentially expressed splice variants in five samples with high versus five with low levels of hypoxia-associated genes (Winter et al, 2007; Cancer Res 67:3441-9). The analysis identified a splice variant of LAMA3 (Laminin 3), LAMA3-A, known to be involved in tumour cell invasion and progression. The full-length transcript of the gene (LAMA3-B) did not appear to be hypoxia-associated. The results were confirmed using qualitative real time PCR. In a series of 59 prospectively-collected head and neck tumours (Winter et al, 2007; Cancer Res 67:3441-9), expression of LAMA3-A had prognostic significance whereas LAMA3-B did not. This work illustrates the potential for alternatively spliced transcripts to act as biomarkers of disease prognosis with improved specificity for particular tissues or conditions over assays which do not discriminate between splice variants.

Publication Title

Exon array analysis of head and neck cancers identifies a hypoxia related splice variant of LAMA3 associated with a poor prognosis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE49355
Specific extracellular matrix remodeling signature of colon hepatic metastases [HG-U133A]
  • organism-icon Homo sapiens
  • sample-icon 56 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To identify genes implicated in metastatic colonization of the liver in colorectal cancer, we collected pairs of primary tumors and hepatic metastases before chemotherapy in 13 patients. We compared mRNA expression in the pairs of patients to identify genes deregulated during metastatic evolution. We then validated the identified genes using data obtained by different groups. The 33-gene signature was able to classify 87% of hepatic metastases, 98% of primary tumors, 97% of normal colon mucosa, and 95% of normal liver tissues in six datasets obtained using five different microarray platforms. The identified genes are specific to colon cancer and hepatic metastases since other metastatic locations and hepatic metastases originating from breast cancer were not classified by the signature. Gene Ontology term analysis showed that 50% of the genes are implicated in extracellular matrix remodeling, and more precisely in cell adhesion, extracellular matrix organization and angiogenesis. Because of the high efficiency of the signature to classify colon hepatic metastases, the identified genes represent promising targets to develop new therapies that will specifically affect hepatic metastasis microenvironment.

Publication Title

Specific extracellular matrix remodeling signature of colon hepatic metastases.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE61140
Expression data from mouse arthritis tarsal joints
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Pathological bone changes differ considerably between inflammatory arthritic diseases, and most studies have focused on bone erosion. Collagen Induced Arthritis (CIA) is a model for Rheumatoid Arthritis, which, in addition to bone erosion, demonstrates bone formation at the time for clinical manifestations. The objective of this study was to use the CIA model to study bone remodelling by performing a gene expression profiling time-course study on the CIA model.

Publication Title

Kinetics of gene expression and bone remodelling in the clinical phase of collagen-induced arthritis.

Sample Metadata Fields

Specimen part

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accession-icon SRP136693
Celll type specific gene expression from healthy human lung tissue infected with mycobacterium tuberculosis (ILC).
  • organism-icon Homo sapiens
  • sample-icon 96 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

We have investigated the initial responses in human lung tissue explants to Mtb infection, focusing primarily on gene expression patterns in different tissue resident innate cell types Overall design: Cells sorted from uninfected and infected lung tissue (24 hrs. post infection)

Publication Title

<i>Mycobacterium tuberculosis</i> Invasion of the Human Lung: First Contact.

Sample Metadata Fields

Specimen part, Subject

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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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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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