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accession-icon SRP041736
Transcriptome Proflings of 347 Single cells from 10 Distinct Populations
  • organism-icon Homo sapiens
  • sample-icon 576 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Analyze the transcriptomes of 347 cells from 10 distinct populations in both of low-coverage (~0.27 million reads per cell) and high-coverage (~5 million reads per cell) to identify cell-type-specific biomarkers, and to compare gene expression across samples specifically for cells of a given type as well as to reconstruct developmental lineages of related cell types.

Publication Title

Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP046087
Effect of in utero vitamin D deficiency on lung structure and function
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Recent studies suggest vitamin D deficiency is associated with chronic lung diseases such as asthma and chronic obstructive pulmonary disease. Each of these are characterised by airway hyperresponsiveness (AHR) and airway remodeling, the latter characterized by increased airway smooth muscle (ASM) mass. In this study we investigated the biological mechanisms underlying increased ASM mass and AHR due to vitamin D deficiency via RNA-seq transcriptome analysis of female BALB/c mice at 8 weeks of age.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP090787
Subcutaneous Adipose and Skin Expression as a Function of Genotype in Polycystic Ovary Syndrome
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA expression in adipose and skin from women with polycystic ovary syndrome (PCOS) was examined using RNA sequencing (Illumina HiSeq 50 cycle single-read sequencing) as a function of the genotype at 16 PCOS genetic risk variants. We hypothesized that the tissue expression pattern in adipose and skin would help identify candidate genes and pathways that could provide insight into the underlying mechanism for risk at these loci.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP064894
Homo sapiens Raw sequence reads
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

High-throughput sequencing of RNA (RNA-Seq) in human cancer shows remarkable potential to simultaneously identify expression levels of protein-coding genes and long non-coding RNAs (lncRNAs). We performed RNA-Seq to investigate expression level of lncRNAs and protein-coding genes in 30 esophageal samples, including 15 esophageal squamous cell carcinoma (ESCC) tissue samples and 15 paired non-tumor tissues. We further developed an integrative bioinformatics method, denoted URW-LPE (for unsupervised random walk with each dysregulated lncRNA/PCG), to identify key functional lncRNAs that regulate expression of downstream protein-coding genes in ESCC. By this method, multiple known cancer and novel potentially functional lncRNAs were effectively identified. Quantitative reverse-transcription PCR was performed to confirm the lncRNA expression level of eight novel functional lncRNAs in an additional 120 paired ESCC patient samples. Finally, we characterized lncRNA625 as a novel ESCC regulator of cell proliferation, invasion and migration. Moreover, we identified E1A-binding protein p300 (EP300) as playing a key role in executing lncRNA625-induced transcriptional responses. These findings establish the utility of integrative bioinformatics analyses of RNA-Seq to identify cancer-associated functional lncRNAs.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-31
Transcription profiling of mammalian male germ cells undergoing mitotic growth, meiosis and gametogenesis in highly enriched cell populations
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a), Affymetrix Rat Genome U34 Array (rgu34b)

Description

We report a comprehensive large-scale expression profiling analysis of mammalian male germ cells undergoing mitotic growth, meiosis and gametogenesis using High Density Oligonucleotide Microarrays and highly enriched cell populations. Among 11955 rat loci investigated, 1268 were identified as differentially transcribed in germ cells at subsequent developmental stages as compared to total testis, somatic Sertoli cells as well as brain and skeletal muscle controls. The loci were organized into four expression clusters that correspond to somatic, mitotic, meiotic and post-meiotic cell types. This work provides information about expression patterns of approximately 200 genes known to be important during male germ cell development. Approximately 40 of those are included in a group of 121 transcripts for which we report germ cell expression and lack of transcription in three somatic control cell types. Moreover, we demonstrate the testicular expression and transcriptional induction in mitotic, meiotic and/or post-meiotic germ cells of 293 as yet uncharacterized transcripts some of which are likely to encode factors involved in spermatogenesis and fertility. This group also contains numerous potential germ cell specific targets for innovative contraceptives. A graphical display of the data is conveniently accessible through the GermOnline database at <a href="http://www.germonline.org" target="_blank">http://www.germonline.org</a>.

Publication Title

Expression profiling of mammalian male meiosis and gametogenesis identifies novel candidate genes for roles in the regulation of fertility.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP151414
Effect of chronic hypoxia and selective knock out of smooth muscle NFATc3 on gene expression in pulmonary arteries
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

CH causes perivascular inflammation, enhanced pulmonary arterial constriction and remodeling leading to the development of pulmonary hypertension. Pulmonary hypertension is a debilitating disease with a high mortality rate. CH develops in patients with chronic obstructive pulmonary disease (COPD), sleep apnea or people living at high altitude. Both COPD and sleep apnea are very prevalent and pulmonary hypertension develops in a large % of COPD and sleep apnea patients. The molecular mechanisms that underlie the development of CH-induced pulmonary hypertension are far from clear. We have previously demonstrated that CH activates the Ca2+/calcineurin-regulated transcription factor NFATc3 in PASMC and that NFATc3 is required for CH-induced pulmonary hypertension in mice. Although this work was the first to identify a role for this transcription factor in an experimental model of pulmonary hypertension, since a conventional whole animal KO was used it is unknown if PASMC NFATc3 contributes to CH-induced PH. Furthermore, the genes regulated by NFATc3 in PASMC under control and CH conditions are largely unknown.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon E-MEXP-185
Transcription profiling by array of Arabidopsis mutant for INO80
  • organism-icon Arabidopsis thaliana
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The transcriptome of the three atino80 allelic mutants was compared to that of wild-type and 50B Arabidopsis plants (see Fritsch et al. 2004). Since the transcriptomes of 50B and wild-type plants were found to be identical, we compared expression in the mutant with 50B and with wild-type without distinction. Therefore, we had four replicates of the wild type condition (50B line, wild-type) and two replicates for each of the mutant alleles (atino80-1, atino80-2 and atino80-3), all ecotype Columbia. All lines were profiled in duplicate (grown independently at 2-week-intervals).

Publication Title

The INO80 protein controls homologous recombination in Arabidopsis thaliana.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP144991
Nuclear transcriptomes of atrial cardiac myocytes
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Analysis of nuclear atrial gene expression in purified atrial cardiac myocyte nuclei isolated from right atrial appendages from adult patients undergoing open-heart surgery for coronary bypass or valve correction.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP126787
Identification of Genes Regulated by Peptidylarginine Deiminase (PAD) Catalyzed Histone Citrullination in Prolactinomas
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

No description.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP149965
Understanding the role of PCAT92 in prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Many lncRNA are known to be differential expressed in prostate cancer. One such lncRNA is PCAT92, which by has been shown to be over-expressed in prostate cancer samples when compared to adjacent normal tissue. PCAT92 shares its chromosomal locus with ABCC4, a genes already reported to be implicated in prostate cancer. Here we have explored the possible mechanism by which PCAT92 is playing a role in prostate cancer. Here we made LNCaP which were knockdown PCAT92 and ABCC4 independently and performed a RNA-sequencing to see the change in gene expression under both the knockdown condition.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

View Samples
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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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