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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Polysome profile glucose beta-cells

Authors: Costas Bouyioukos; Bertrand Cosson; Manuel Bulfoni;

Polysome profile glucose beta-cells

Abstract

Polysome profile analysis of human pancreatic beta-cells exposure to glucose A human pancreatic beta cell line (betaH2) was exposed to glucose after starvation. Total RNA was collected for a bulk RNA-seq analysis. Three biological repeats were produced for each of the the low and high glucose conditions resulting in to 6 sequence (fastq) files. Three different mRNA-ribosomal fractions were selected from a sucrose gradient corresponding to single ribosomes (monosomes), light ribosomes (2-4) and heavy ribosomes (5 and more). Three biological repeats were produced for each fraction and for the two conditions (low and high glucose) resulting to 18 different (fastq) sequenced files. In total the study consists of 24 submitted fastq files, 6 corresponding to total RNA from two conditions (three replicates) and 18 corresponding to polysome profile, 3 fractions times two conditions times 3 replicates. All 24 *.fastq.gz files are available in the reads_PolysomeProfile_RNAseq_BetaCells.tar archive. In addition to the raw reads we provide the processed data: The raw counts table ( countsTOTALS_CodingGenes.tsv) and the Transcripts Per Million table (TPMs) (polysomeProfile_TPM_proteinCoding.csv) files of the data produced from the polysome profile and RNA-seq experiments described in the experimental design that can be found in: https://github.com/parisepigenetics/Translatome_Bcells_glucose

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Keywords

Polysome profile, human pancreatic beta cells, diabetes, bioinformatics

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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