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accession-icon SRP173653
single cell analysis of human embryonic and fetal heart-derived cardiac cells
  • organism-icon Homo sapiens
  • sample-icon 126 Downloadable Samples
  • Technology Badge Icon

Description

We collected human aborted embryonic and fetal hearts from authorized resources with appropriate informed consents. Collected hearts were micro-dissected into 3 parts (atria, ventricle, and outflow tract), which were further digested into single cardiac cells and subject to single-cell RNA-seq analyses.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP173490
Healthy and colon cancer hosts display carcinogenic colon mucosal biofilms
  • organism-icon Mus musculus
  • sample-icon 34 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Human colon mucosal biofilms, whether from tumor hosts or healthy individuals undergoing screening colonoscopy, are carcinogenic in murine models of CRC.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line, Treatment

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accession-icon SRP082682
Empirical assessment of analysis workflows for differential expression analysis using RNA-Seq
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Background: RNA-Seq is supplanting microarrays as the preferred method of transcriptome-wide identification of differentially expressed genes. However, RNA-Seq analysis is still rapidly evolving, with a large number of tools available for each of the three major processing steps: read alignment, expression modeling, and statistical determination of differentially expressed genes. Although some studies have benchmarked these tools against gold standard gene expression sets, few have evaluated their performance in concert with one another. Additionally, there is a general lack of testing of such tools on real-world, biologically relevant datasets, which often possess qualities not reflected in tightly controlled reference RNA samples or synthetic datasetsResults: Here we evaluate ten combinatorial implementations of several of the most commonly used analysis tools (RSEM, TopHat2, STAR, htseq, Cufflinks, DESeq2, edgeR, EBseq, and Cuffdiff) for their impact on differential gene expression analysis by RNA-Seq. A test dataset was generated from highly purified human classical and nonclassical monocyte subsets from a clinical cohort, allowing us to evaluate analysis workflow performance using four previously published microarray and BeadChip analyses of the same cell populations as reference datasets. We find that the choice of methodologies leads to wide variation in number of genes called significant, as well as precision and recall. In general, recall is correlated with the number of significant genes identified, whereas precision is inversely correlated with both recall and the number of significant genes identified. Additionally, we report that the choice of statistical analysis approach and read aligner exhibited stronger impacts on recall, precision, and F1 score than the choice of software for expression modeling.Conclusions: There is wide variation in the performance of RNA-Seq workflows to identify differentially expressed genes. Different workflows lead to a precision/recall tradeoff, and the ultimate choice of workflow should take into consideration how the results will be used in subsequent applications. Our analyses highlight the performance characteristics of these workflows, and the data generated in this study could also serve as a useful resource for future development of software for RNA-Seq analysis.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP111699
Mus musculus cardiac pressure overload
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Cardiac hypertrophy is a response to hemodynamic stress, and is associated with cardiac dysfunction and death. However, whether hypertrophy itself represents a disease process remains unclear. Hypertrophy is driven by changes in myocardial gene expression that require the MEF2 family of DNA-binding transcription factors, as well as the nuclear lysine acetyltransferase p300. In this study we sought to determine the effects of preventing MEF2 acetylation on cardiac adaptation to stress, using a small molecule designed to interfere with MEF2-co-regulator binding and acetylation. The data provided here include RNASeq analysis of left ventricular tissue from mice subjected to surgical pressure overload or a sham operation, and treated with 8MI or its vehicle for 4 weeks. We observed that 8MI transformed the transcriptional response to pressure overload, normalizing almost all 232 genes dysregulated by hemodynamic stress. We conclude that MEF2 acetylation is required for development and maintenance of pathological cardiac hypertrophy, and that blocking MEF2 acetylation can permit recovery from hypertrophy without impairing physiologic adaptation.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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accession-icon SRP127811
Full Spectrum of LPS Activation in Alveolar Macrophages of Healthy Volunteers by Whole Transcriptomic Profiling
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

Despite recent advances in understanding macrophage activation, little is known regardinghow human alveolar macrophages in health calibrate its transcriptional response to canonicalTLR4 activation. In this study, we examined the full spectrum of LPS activation and determinedwhether the transcriptomic profile of human alveolar macrophages is distinguished bya TIR-domain-containing adapter-inducing interferon-ß (TRIF)-dominant type I interferon signature.Bronchoalveolar lavage macrophages were obtained from healthy volunteers, stimulatedin the presence or absence of ultrapure LPS in vitro, and whole transcriptomic profilingwas performed by RNA sequencing (RNA-Seq). LPS induced a robust type I interferon transcriptionalresponse and Ingenuity Pathway Analysis predicted interferon regulatory factor(IRF)7 as the top upstream regulator of 89 known gene targets. Ubiquitin-specific peptidase(USP)-18, a negative regulator of interferon a/ß responses, was among the top up-regulatedgenes in addition to IL10 and USP41, a novel gene with no known biological function but withhigh sequence homology to USP18.We determined whether IRF-7 and USP-18 can influencedownstream macrophage effector cytokine production such as IL-10.We show thatIRF-7 siRNA knockdown enhanced LPS-induced IL-10 production in human monocytederivedmacrophages, and USP-18 overexpression attenuated LPS-induced production ofIL-10 in RAW264.7 cells. Quantitative PCR confirmed upregulation of USP18, USP41, IL10,and IRF7. An independent cohort confirmed LPS induction of USP41 and IL10 genes. Theseresults suggest that IRF-7 and predicted downstream target USP18, both elements of a typeI interferon gene signature identified by RNA-Seq, may serve to fine-tune early cytokineresponse by calibrating IL-10 production in human alveolar macrophages.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon SRP150780
RNA seq of Campylobacter jejuni infected Apc Min/+ mice
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 3000

Description

Campylobacter jejuni promotes colorectal tumorigenesis through the action of cytolethal distending toxin

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP158414
ISG knockdown effects on gene expression
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Inteferon induced gene effects on cell gene expression

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon SRP075629
Mus musculus Raw sequence reads
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNAseq reads from GT1-7 and GN11 hypothalamic GnRH secreting neurons, and from NIH3T3 fibroblast control cells

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon SRP168925
CD71 + VISTA + erythroid cells promote the development and function of regulatory T cells
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

we discoveredthat CD71 + VISTA + erythroid cells produce significantly higher levels of TGF-ß compared toCD71 + VISTA - erythroid cells. As a result, CD71 + VISTA + erythroid cells convert naïve CD4 + Tcell into induced-Tregs via TGF- ß in vitro. However, depletion of CD71 + erythroid cells had nosignificant effects on the percentage of Tregs in vivo. Surprisingly, we observed that theremaining/newly generated CD71 + erythroid cells following anti-CD71 antibody administrationexhibit a different gene expression profile evidenced by the upregulation of VISTA, TGF-ß1,TGF-ß2 and PDL-1 which may account as a compensatory mechanism for the maintenance ofTregs population.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP190176
CD71+ erythroid cells exacerbate HIV-1 infection via ROS and trans-infect HIV to CD4+ T cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We show that CECs originated from either the cord blood/placenta, peripheral blood of anemic and HIV patients mediate the exacerbation of HIV-1 replication in CD4+ T cells. Our observations coupled with RNAseq data demonstrate how interactions of CECs with CD4+ T cells via ROS affect the cell cycle machinery to facilitate HIV-1 replication. In addition, we demonstrate that CECs compared to mature RBCs express significantly higher levels of both CD35 and DARC, and can trans-infect HIV-1 to uninfected CD4+ T cells in vitro. Finally, our study indicates that HIV-1 interacts with CD235a on CECs and trans-infect uninfected CD4+ T cells in the presence of anti-retroviral drug, Tenofovir.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part

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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)

fund-icon Fund the CCDL

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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