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accession-icon SRP031504
RNA-seq transcriptome profiling of equine inner cell mass and trophectoderm
  • organism-icon Equus caballus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptomic analysis of ICM and TE from in vivo-derived equine blastocysts using Illumina sequencing technology Overall design: RNA was extracted from individual equine blastocyst ICM and TE (Arcturus Picopure), cDNA was synthesized and amplified (Nugen Ovation V2) and indexed libraries were created for sequencing (TruSeq DNA V1)

Publication Title

RNA-seq transcriptome profiling of equine inner cell mass and trophectoderm.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP017330
DICER- and AGO3-dependent generation of retinoic acid-induced DR2 Alu RNAs regulates human stem cell proliferation (RNA-seq)
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Although liganded nuclear receptors have been established to regulate RNA polymerase II (Pol II)-dependent transcription units, their role in regulating Pol III-transcribed DNA repeats remains largely unknown. Here we report that ~2-3% of the ~100,000-200,000 total human DR2 Alu repeats located in proximity to activated Pol II transcription units are activated by the retinoic acid receptor (RAR) in human embryonic stem cells to generate Pol III-dependent RNAs. These transcripts are processed, initially in a DICER-dependent fashion, into small RNAs (~28-65 nt) referred to as repeat-induced RNAs that cause the degradation of a subset of crucial stem-cell mRNAs, including Nanog mRNA, which modulate exit from the proliferative stem-cell state. This regulation requires AGO3-dependent accumulation of processed DR2 Alu transcripts and the subsequent recruitment of AGO3-associated decapping complexes to the target mRNA. In this way, the RAR-dependent and Pol III-dependent DR2 Alu transcriptional events in stem cells functionally complement the Pol II-dependent neuronal transcriptional program. Overall design: RNA-sequencing of polyA selected RNA molecules in NTera2/D1 cells and Global Run On (GRO) assay followed by high throughput sequencing (GRO-seq).

Publication Title

DICER- and AGO3-dependent generation of retinoic acid-induced DR2 Alu RNAs regulates human stem cell proliferation.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE53231
Expression data from 18h-fasted WT versus KLF15-null mice: heart
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430A 2.0 Array (mouse430a2)

Description

We used microarray analysis to identify differences in gene expression levels in heart following an 18h (overnight) fast in WT control and KLF15-null mice

Publication Title

Kruppel-like factor 15 is a critical regulator of cardiac lipid metabolism.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE35525
Pivotal role of HMGA1 gene signature in highly metastatic breast cancer
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of MDA-MB-231 breast cancer cells depleted for High Mobility Group A1 (HMGA1) using siRNA. HMGA1 is involved in invasion and metastasis in breast cancer cells. Results identify the specific transcriptional program induced by HMGA1 in highly metastatic breast cancer cells.

Publication Title

HMGA1 promotes metastatic processes in basal-like breast cancer regulating EMT and stemness.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE106865
A longitudinal gene expression microarray analysis of skeletal muscle resistance training
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Skeletal muscle adapts to resistance exercise (RE) performance acutely and chronically. An important regulatory step of muscle adaptation to RE is gene expression. Microarray analysis can be used as an exploratory method to investigate how genes and gene clusters are modulated acutely and chronically by RE. The purpose of the present study was to investigate the effect of training status in the basal (rested) and pre- to 24h post-RE on the global transcriptome in vastus lateralis muscle biopsies of young men. Muscle biopsies of nine young men who undertook RE training for 10-wks were collected pre and 24h post-RE at the first (W1) and last (W10) weeks of training and analysed using microarray. An unaccustomed RE bout (at W1) up-regulated muscle gene transcripts related to stress (e.g., heat shock proteins), damage and inflammation, structural remodelling, protein turnover and increased translational capacity. Trained muscles (at W10) became more efficient metabolically, as training favoured a more oxidative metabolism, refined response to stress, showed by genes suppression related to RE-induced stress and inflammation, and up-regulated genes indicating greater muscle contractile efficiency and contribution to promote muscle growth and development. These data highlight that chronic repetition of RE increases muscle efficiency and adapt muscles to respond more specifically and accurately to RE-induced stress.

Publication Title

Resistance training in young men induces muscle transcriptome-wide changes associated with muscle structure and metabolism refining the response to exercise-induced stress.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE33585
Expression data from monocytic cell lines (THP)
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The experiment aims to identify transcriptional effects of Infliximab (an anti-TNF antibody) and CDP870 on human cell lines

Publication Title

mTNF reverse signalling induced by TNFα antagonists involves a GDF-1 dependent pathway: implications for Crohn's disease.

Sample Metadata Fields

Cell line, Treatment, Time

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accession-icon GSE12034
The transcriptome of human oocytes
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The identification of genes and deduced pathways from the mature human oocyte can help us better understand oogenesis, folliculogenesis, fertilization, and embryonic development. Human metaphase II oocytes were used within minutes after removal from the ovary, and its transcriptome was compared with a reference sample consisting of a mixture of total RNA from 10 different normal human tissues not including the ovary. RNA amplification was performed by using a unique protocol. Affymetrix Human Genome U133 Plus 2.0 GeneChip arrays were used for hybridizations. Compared with reference samples, there were 5,331 transcripts significantly up-regulated and 7,074 transcripts significantly down-regulated in the oocyte. Of the oocyte up-regulated probe sets, 1,430 have unknown function. A core group of 66 transcripts was identified by intersecting significantly up-regulated genes of the human oocyte with those from the mouse oocyte and from human and mouse embryonic stem cells. GeneChip array results were validated using RT-PCR in a selected set of oocyte-specific genes. Within the up-regulated probe sets, the top overrepresented categories were related to RNA and protein metabolism, followed by DNA metabolism and chromatin modification. This report provides a comprehensive expression baseline of genes expressed in in vivo matured human oocytes. Further understanding of the biological role of these genes may expand our knowledge on meiotic cell cycle, fertilization, chromatin remodeling, lineage commitment, pluripotency, tissue regeneration, and morphogenesis.

Publication Title

The transcriptome of human oocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21547
Angio-modulation in endothelial cells: an unexpected role of desmoglein-2 in regulating actin dynamics and its relevance to angiogenesis deregulation in systemic sclerosis
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression study of DSG2 silenced human microvascular endothelial cells

Publication Title

Desmoglein-2-integrin Beta-8 interaction regulates actin assembly in endothelial cells: deregulation in systemic sclerosis.

Sample Metadata Fields

Specimen part

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accession-icon GSE50697
Gene expression of SUM159 breast cancer cell line expressing microRNA--203
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Determine the effect of miR-203 expression on the global mRNA expression in mesenchymal breast cancer cell line.

Publication Title

Epigenetic silencing of microRNA-203 is required for EMT and cancer stem cell properties.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE53894
G9a-dependent gene expression in mouse AML cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The methyltransferase G9a was found to play a role in the disease progression of a murine model of AML.

Publication Title

The methyltransferase G9a regulates HoxA9-dependent transcription in AML.

Sample Metadata Fields

Cell line

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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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