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accession-icon SRP049714
High throughput analysis of three human adipose cell lines PAZ6, SGBS and SW872
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

We report molecular characterization of human brown and white adipocytes. We showed that PAZ6 and SW872 cells exhibit classical molecular and phenotypic markers of brown and white adipocytes, respectively. However, SGBS cells presented a versatile phenotype of adipocyte Overall design: Sequencing of three human adipocytes cell lines (SGBS, SW872 and PAZ6) in undifferentiated and differentiated stages.

Publication Title

Comprehensive molecular characterization of human adipocytes reveals a transient brown phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP055067
A study of alterations in DNA epigenetic modifications (5mC and 5hmC) and gene expression influenced by simulated microgravity in human lymphoblastoid cells [RNA-seq]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Here, in this study we systematically examined the patterns of DNA methylation and hydroxy-methylation with its functional implications in gene regulation for the cultured TK6 lymphoblastoid cells upon exposure to micro-gravity conditions. The results reported here indicate that simulated microgravity alters methylation patterns in a limited way and subsequently the expression of genes involved in stress response like ATF3, FBXO17, MAP3K13 and VCL in TK6 cells. Overall design: Examination of RNA-seq with 2 replicates each for 1 cell type

Publication Title

A Study of Alterations in DNA Epigenetic Modifications (5mC and 5hmC) and Gene Expression Influenced by Simulated Microgravity in Human Lymphoblastoid Cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP058719
Long non-coding RNA profiling of human lymphoid progenitors reveals transcriptional divergence of B cell and T cell lineages
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

To elucidate the transcriptional ‘landscape’ that regulates human lymphoid commitment during postnatal life, we used RNA sequencing to assemble the long non-coding transcriptome across human bone marrow and thymic progenitor cells spanning the earliest stages of B lymphoid and T lymphoid specification. Over 3,000 genes encoding previously unknown long non-coding RNA (lncRNAs) were revealed through the analysis of these rare populations. Lymphoid commitment was characterized by lncRNA expression patterns that were highly stage specific and were more lineage specific than those of protein-coding genes. Protein-coding genes co-expressed with neighboring lncRNA genes showed enrichment for ontologies related to lymphoid differentiation. The exquisite cell-type specificity of global lncRNA expression patterns independently revealed new developmental relationships among the earliest progenitor cells in the human bone marrow and thymus. Overall design: We performed RNA-Seq of 10 distinct cell types isolated by fluorescence activated cell sorting (FACS). From BM, we isolated CD34+CD38neglinneg cells, a population highly enriched for HSC, as well as three lymphoid progenitor populations; LMPP (CD34+CD45RA+CD38+CD10neg CD62Lhilinneg), CLP (CD34+CD38+CD10+CD45RA+linneg ) and fully B cell committed progenitors (BCP, CD34+CD38+CD19+). From thymus we isolated three CD34+ subsets; Thy1 (CD34+CD7neg CD1aneg CD4negCD8neg), Thy2 (CD34+CD7+CD1aneg CD4negCD8neg), and Thy 3 (CD34+CD7+CD1a+CD4negCD8neg), as well as fully T cell committed populations CD4+CD8+ (Thy 4), CD3+CD4+CD8neg (Thy5) and CD3+CD4neg CD8+ (Thy6).

Publication Title

Long non-coding RNA profiling of human lymphoid progenitor cells reveals transcriptional divergence of B cell and T cell lineages.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP056375
The Expansion of Thymopoiesis in Neonatal Mice is Dependent on Expression of High mobility group A 2 protein (Hmga2)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The most immature progenitors in the murine thymus are early T lineage progenitors (ETP). These cells are the precursors of more mature thymocytes that ultimately leave the thymus and colonize peripheral lymphoid tissues. As part of our efforts to define age-related changes in ETP, we harvested them from mice of different ages and performed whole transcriptome profiling. This analysis revealed major differences in patterns of gene expression between young and old ETP, and we were particularly struck by the significantly reduced expression of the gene encoding high mobility group A 2 protein (Hmga2). Overall design: The experiment compares gene expression in young adult (4-6 week old) and old (72 week old) mouse Early T Lineage Progenitors (ETP)

Publication Title

The expansion of thymopoiesis in neonatal mice is dependent on expression of high mobility group a 2 protein (Hmga2).

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP118618
Defining transcription factor networks that govers SCC growth [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Differential gene expression analysis were performed between Pitx1 silenced SCC cells and controls in two independent SCC lines Overall design: Compared control and Pitx1 deficient cells to define gene sets control by Pitx1 in SCCs.

Publication Title

De Novo PITX1 Expression Controls Bi-Stable Transcriptional Circuits to Govern Self-Renewal and Differentiation in Squamous Cell Carcinoma.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE42251
Effects of EVI1 and EVI1324 mild expression in HeLa cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We studied the variations of mRNA amounts after Flag-EVI1, Flag-EVI1324, or Flag expression in HeLa cells. Despites EVI1 discovery in 1988, its recognized role as a dominant oncogene in myeloid leukemia and more recently in epithelial cancers, only a few target genes were known and it was not clear why EVI1 was involved in cancer progression. Here we obtained the genomic binding occupancy and expression data for EVI1 in human cells. We identified numerous EVI1 target cancer genes and genes controlling cell migration and adhesion. Moreover, we characterized a transcriptional cooperation between AP1 and EVI1 that regulated proliferation and adhesion through a feed-forward loop. This study provides human genome-wide mapping and expression analyses for EVI1 that will be useful for the research community.

Publication Title

Functional features of EVI1 and EVI1Δ324 isoforms of MECOM gene in genome-wide transcription regulation and oncogenicity.

Sample Metadata Fields

Cell line

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accession-icon GSE26193
Control of oxidative stress by miRNA and impact on ovarian tumorigenesis
  • organism-icon Homo sapiens
  • sample-icon 107 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Transcriptome analysis of high-grade human ovarian adenocarcinomas. The hypothesis tested in the present study was that two reciprocal pathways, namely oxidative stress response and fibrosis, enable to build a hierarchical cluster of ovarian patients.

Publication Title

miR-141 and miR-200a act on ovarian tumorigenesis by controlling oxidative stress response.

Sample Metadata Fields

Specimen part, Disease stage

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accession-icon GSE66418
Specific IMPC gene expression signature
  • organism-icon Homo sapiens
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Polarity defects are a hallmark of most carcinomas. Cells from invasive micropapillary carcinomas (IMPCs) of the breast are characterized by a striking cell polarity inversion and represent a good model for the analysis of polarity abnormalities. We have performed an in-depth investigation of polarity alterations in 24 IMPCs, compared with invasive carcinomas of no special type (ICNST).

Publication Title

LIN7A is a major determinant of cell-polarity defects in breast carcinomas.

Sample Metadata Fields

Specimen part

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accession-icon SRP155901
KLF4 as a rheostat of osteolysis and osteogenesis in prostate tumors in the bone
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We previously found that KLF4, a gene highly expressed in adult prostate stem cells, blocks the progression of indolent intraepithelial prostatic lesions into aggressive and rapidly growing tumors. To test whether this anti-cancer effect of KLF4 can also prevent prostate cancer-induced damage to the bone, we ablated KLF4 in human PC3 prostate cancer cells using CRISPR/Cas9-mediated genome editing and compared their behavior to null cells transduced with a DOX inducible KLF4 expression system. KLF4 re-expression inhibited growth of PC3 null cells in monolayer and as colonies in soft agar in a dose-dependent manner. When injected into the mouse femurs, PC3 null cells proliferated rapidly, forming very large, invasive and osteolytic tumors. Induction of KLF4 expression in PC3 null cells immediately after their intra-femoral inoculation blocked the development of tumors while preserving the normal bone architecture. KLF4 re-expression in established PC3 bone tumors inhibited osteolytic effects of PC3 null cells, preventing bone fractures and inducing a significant osteogenic response with regions of new bone formation. Transcriptome analyses of PC3 cells with no or high KLF4 expression revealed KLF4-dependent osteolytic or osteogenic transcriptional programs, respectively. Importantly, these KLF4-dependent functions significantly overlapped with metastatic prostate cancers in patients. Overall design: Uninfected PC3 KLF4 wild-type cells and uninfected PC3 KLF4 null cells were grown for 48 hours and collected for RNA extraction. Another cohort of PC3 KLF4 null cells was infected with lentiviruses expressing a DOX inducible KLF4 expression construct (BFP-T2A-hKLF4) or the control empty vector (BFP-T2A). After 48 hours, DOX (10 ng/ml) was added to the culture medium to induce KLF4 expression. Control and KLF4-overexpressing cells were collected for RNA extraction after a 48-hour incubation with DOX. Total RNA was extracted using the RNeasy kit (Qiagen, CA, USA). RNA-Seq libraries were prepared with the TruSeq sample preparation kit (Illumina, CA, USA).

Publication Title

KLF4 as a rheostat of osteolysis and osteogenesis in prostate tumors in the bone.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP131004
RNA-Seq in human T-cell lymphoblastic lymphoma samples and control thymuses
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Precursor T-cell lymphoblastic neoplasms are aggressive haematological neoplasm that most often manifest with extensive marrow and blood affectation (T-cell acute lymphoblastic leukaemia or T-ALL) or less commonly as a thymic mass with limited bone marrow infiltration (T-cell lymphoblastic lymphoma or T-LBL). Here we show data from RNA-Seq in a sample series of T-LBL from Spanish patients.The goal was to determine the levels of expression of coding genes and microRNAs, and to identify all genetic variants including SNVs, indels, and fusion transcripts. Overall design: Expression data were determined by comparson of each tumour sample with two control thymuses (404 and 405). Genetic variants were determined by comparison of tumour sequences with canonical ENSEMBL normal-references of each gene.

Publication Title

RNA-Seq reveals the existence of a CDKN1C-E2F1-TP53 axis that is altered in human T-cell lymphoblastic lymphomas.

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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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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