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accession-icon SRP151477
Deciphering the C. elegans embryonic transcriptome with tissue, time, and alternative splicing resolution
  • organism-icon Caenorhabditis elegans
  • sample-icon 82 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We have used FACS to isolate fluorescent cells at multiple time points from synchronized embryos containing early and highly specific tissue/lineage markers. We then carried out RNA-seq, and observe dramatic differences in gene expression levels both between cell-types, and over time within the same population. Furthermore, we observe differential transcript usage between cell-types and over time, including differential promoter and differential exon usage that leads to additional differences between cell types.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE29850
Identification of Notch targets in human endothelial cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human umbilical vein endothelial cells (HUVECs) were transduced with either MIY-N1IC (Notch1 intracellular domain) or MIY vector control. The cells were sorted for YFP, and RNA was extracted using Trizol (Invitrogen) and analyzed by the Affymetrix Human Genome U133 Plus 2.0 Array. Results were analyzed using the GCRMA algorithm to identify genes with a minimum of 2-fold induction or reduction. This global gene expression study was used to identify Notch targets in the endothelium.

Publication Title

Notch initiates the endothelial-to-mesenchymal transition in the atrioventricular canal through autocrine activation of soluble guanylyl cyclase.

Sample Metadata Fields

Specimen part

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accession-icon SRP013931
Initial analysis of transcript levels in zebrafish with advancing age
  • organism-icon Danio rerio
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

This project aims at an initial characterization of changes in gene expression in zebrafish with advancing age. Transcript levels are determined in several tissues of zebrafish with differing ages using RNA-seq. Differentially expressed genes are determined to pinpoint genes that are differently regulated in young and old zebrafish. Results will be compared with other species to identify common pathways of ageing.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP000931
Melanoma Cell Transcriptome
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

Paired end sequencing of cDNA isolated from individual melanoma samples via the Illumina sequencing platform to identify genetic aberrations that may play a role in melanoma genesis.

Publication Title

Integrative analysis of the melanoma transcriptome.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP011371
Escherichia coli str. K-12 substr. MG1655 Transcriptome or Gene expression
  • organism-icon Escherichia coli
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The goal was to establish a robust and scalable RNA-seq process applicable to cultured bacteria as well as to complex community transcriptomes. To this end, we evaluated rRNA depletion methods and chose a protocol that eliminates rRNA reads efficiently and robustly, and largely irrespective of the quality of the RNA input sample.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP039085
Homo sapiens strain:HL-60 Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerIIx

Description

Transcriptome of human HL-60 and HEK-293 cells depending on culture cell density

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP052182
Arthropod Cell Line RNA Seq
  • organism-icon Anopheles gambiae
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome sequencing of arthropod cell lines

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Cell line

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accession-icon SRP052081
Arthropod Cell Line RNA Seq
  • organism-icon Anopheles gambiae
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome sequencing of arthropod cell lines

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
accession-icon SRP052130
Arthropod Cell Line RNA Seq
  • organism-icon Anopheles gambiae
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome sequencing of arthropod cell lines

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
accession-icon SRP052102
Arthropod Cell Line RNA Seq
  • organism-icon Anopheles gambiae
  • sample-icon 7 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Transcriptome sequencing of arthropod cell lines

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Cell line

View Samples
...

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

Powered by Alex's Lemonade Stand Foundation

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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