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accession-icon SRP119557
Clustering gene expression time series data using an infinite Gaussian process mixture model
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In order to identify and characterize novel human gene expression responses to glucocorticoids, we exposed the human lung adenocarcinoma cell line, A549, to the synthetic glucocorticoid dexamethasone for 1, 3, 5, 7, 9, and 11 hrs in duration as well as to a paired vehicle control, ethanol. We assayed gene expression with RNA-seq and clustered gene expression profiles using an infinite Gaussian process mixture model. Overall design: Time series treatment of human A549 cells with dexamethasone or paired vehicle control.

Publication Title

Clustering gene expression time series data using an infinite Gaussian process mixture model.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP152577
PyMINEr Finds Gene and Autocrine/Paracrine Networks from Human Islet scRNAseq
  • organism-icon Homo sapiens
  • sample-icon 162 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Toolsets available for in-depth analysis of scRNAseq datasets by biologists with little informatics experience is limited. Here we describe an informatics tool (PyMINEr) that fully automates cell type identification, cell type-specific pathway analyses, graph theory-based analysis of gene regulation, and detection of autocrine/paracrine signaling networks in silico. We applied PyMINEr to interrogate human pancreatic islet scRNAseq datasets and discovered several features of co-expression graphs including: concordance of scRNAseq-graph structure with both protein-protein interactions and 3D-genomic architecture; association of high connectivity and low expression genes with cell type-enrichment; and potential for graph-structure to clarify potential etiologies of enigmatic disease-associated variants. We further created a consensus co-expression network and autocrine/paracrine signaling networks within and across islet cell types from 7-datasets. PyMINEr correctly identified changes in BMP/WNT signaling associated with cystic fibrosis pancreatic acinar-cell loss. This proof-of-principle study demonstrates that the PyMINEr framework will be a valuable resource for scRNAseq analyses. Overall design: Human islets were obtained from the integrated islet distribution program (IIDP), cultured overnight, then prepared for scRNAseq via the Fluidigm C1 platform. RNAseq was perfromed on Illumina HiSeq 2500.

Publication Title

PyMINEr Finds Gene and Autocrine-Paracrine Networks from Human Islet scRNA-Seq.

Sample Metadata Fields

Sex, Age, Specimen part, Race, Subject

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accession-icon SRP001540
Understaning mechanisms underlying human gene expression variation with RNA sequencing
  • organism-icon Homo sapiens
  • sample-icon 161 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

Understanding the genetic mechanisms underlying natural variation in gene expression is a central goal of both medical and evolutionary genetics, and studies of expression quantitative trait loci (eQTLs) have become an important tool for achieving this goal. While all eQTL studies to date have assayed mRNA levels using expression microarrays, recent advances in RNA sequencing enable the analysis of transcript variation at unprecedented resolution. We sequenced RNA from 69 lymphoblastoid cell lines (LCLs) derived from unrelated Nigerian individuals that have been extensively genotyped by the International HapMap Project. Pooling data from all individuals, we generated a map of the transcriptional landscape of these cells, identifying extensive use of unannotated polyadenylation sites and over 100 novel putative protein-coding exons. Using the genotypes from the HapMap project, we identified over a thousand genes at which genetic variation influences overall expression levels or splicing. We demonstrate that eQTLs near genes generally act via a mechanism involving allele-specific expression, and that variation that influences the inclusion of an exon is enriched within or near the consensus splice sites. Our results illustrate the power of high-throughput sequencing for the joint analysis of variation in transcription, splicing, and allele-specific expression across individuals. Overall design: RNA-Seq in 69 lymphoblastoid cell lines from multiple Yoruban HapMap individuals in at least two replicate lanes per individual

Publication Title

Understanding mechanisms underlying human gene expression variation with RNA sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE104819
Pseudomonas aeruginosa response to potable (tap) water and freshwater from a pond
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Pseudomonas aeruginosa is a common bacterium in the terminal plumbing system of buildings and it is from this niche that a substantial fraction of infections are acquired. To better understand P. aeruginosa biology in this environment, we examined the transcriptomes in tap water and pond water.

Publication Title

Transcriptional Responses of Pseudomonas aeruginosa to Potable Water and Freshwater.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP053185
Transcriptome profiling of isolated mammalian myotube cultures that ectopically overexpress msx2
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

In contrast to urodele amphibians and teleost fish, mammals lack the regenerative responses to replace large body parts. Amphibian and fish regeneration uses dedifferentiation, i.e. reversal of differentiated state, as a means to produce progenitor cells to eventually replace damaged tissues. Therefore, activation of dedifferentiation response in mammalian tissues holds an immense promise for human regenerative medicine. msx2 expression has been shown to peak at the early time points of amphibian limb regeneration. Despite this temporal importance in the heterogenous regenerating limb tissues, the potential role of msx2 in dedifferentiation was previously not addressed in salamander or mammalian muscle cells. In order to test this, we ectopically overexpressed msx2 in mammalian myotubes and profiled their transcriptomes using next generation sequencing. We identified 4964 up-regulated and 4464 down-regulated transcripts in myotubes compared to myoblasts (uninduced GFP control cells; = 1.5 fold; FDR corrected p-values < 0.01). Upon ectopic msx2 expression in myotubes, 923 transcripts were downregulated, whereas 1283 transcripts were upregulated. Based on msx2's potential role in dedifferentiation, we reasoned that the transcripts, which are normally upregulated in myotubes in comparison to myoblasts, should go down upon msx2-expression. In accord with this idea, 575 myotube-enriched transcripts were downregulated after one day of ectopic msx2 expression. Similarly, 331 myoblast-enriched transcripts were upregulated upon msx2 expression. Overall design: To extensively analyze transcriptome-wide changes upon ectopic msx2 expression in mammalian myotubes, we performed next generation RNA-sequencing (RNA-seq) on uninduced and induced isolated myotubes that have msx2 and GFP or GFP alone transgenes. As a reference for the undifferentiated state, we also sequenced the transcriptomes of uninduced myoblast cultures of these two transgenic constructs. Deep sequencing was performed using Illumina HiSeq.

Publication Title

Ectopic expression of Msx2 in mammalian myotubes recapitulates aspects of amphibian muscle dedifferentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE89875
Expression data from budding yeast exposed to simulated asbestos mine drainage
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Investigation of global gene expression changes in Saccharomyces cerevisiae strain NRRL Y-12632 (ATCC 18824) grown in media made with asbestos mine tailings-laden water compared to the control grown in media made with double distilled water

Publication Title

Microarray data and gene expression statistics for &lt;i&gt;Saccharomyces cerevisiae&lt;/i&gt; exposed to simulated asbestos mine drainage.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21105
Expression profiling of p53 wildtype inducible DLD-1 cells
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This is an initial experiment which was performed in order to identify novel transcriptional targets of the tumor suppressor p53

Publication Title

p53 activates the PANK1/miRNA-107 gene leading to downregulation of CDK6 and p130 cell cycle proteins.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP126945
RNA sequencing on LNCaP cells
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA sequencing on LNCaP cells was carried out to study how tunicamycin-induced gene expression is affected by knockdown of EIF2AK3 and ATF4. Overall design: Samples from the below setup (treatments protocol) were harvested from four independent experiments. RNA integrity of total RNA samples was assessed by Bioanalyzer. All samples had RIN = 9.7.

Publication Title

The kinase PERK and the transcription factor ATF4 play distinct and essential roles in autophagy resulting from tunicamycin-induced ER stress.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE111557
Expression data from surface airway epithelial basal cells, ciliated cells, and club cells.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

To identify key genes that define surface airway epithelial (SAE) basal cells, we FACS isolated basal, ciliated, and club cell populations as previously reported (Zhao et al., 2014; PMID: 25043474) and performed microarray analysis on isolated mRNA. For fractionating SAE into basal, club, and ciliated populations, cells were stained with EpCAM-PECy7 (eBiosciences), GSI4-FITC (Sigma), SSEA1-Alexa Fluor 647 (BioLegend), and CD24-PE (BD Pharmingen) for 30 minutes on ice as previously described (Zhao et al., 2014), prior to FACS. Basal cells were considered EpCAM+ and GSI4+. Secretory cells were considered EpCAM+ and SSEA1+. Ciliated cells were considered EpCAM+, GSI4- and CD24+.

Publication Title

Submucosal Gland Myoepithelial Cells Are Reserve Stem Cells That Can Regenerate Mouse Tracheal Epithelium.

Sample Metadata Fields

Specimen part

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accession-icon GSE42078
Expression data of differentiated human erythroid cells with or without Tranylcypromine (TC) treatment
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

We found that LSD1 inhibition by a monoamine oxidase inhibitor, tranylcypromine (TC), could enhance fetal gamma globin expression.

Publication Title

Lysine-specific demethylase 1 is a therapeutic target for fetal hemoglobin induction.

Sample Metadata Fields

Treatment

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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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