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Sample GSM2722420 Query DataSets for GSM2722420
Status Public on Dec 04, 2018
Title Extracted RNA from Ki67-RFP+ cells of hearts of Ki67TagRFP mice 3 days post-MI surgery, replicate 2_bulk RNA
Sample type SRA
 
Source name Ki67-RFP+ cells of hearts of Ki67TagRFP mice 3 days post-MI surgery
Organism Mus musculus
Characteristics strain background: C57BL/6
genotype/variation: Ki67TagRFP
time point: 3 days post-MI surgery
tissue: Heart
cell type: proliferative cardiac cells
Extracted molecule total RNA
Extraction protocol Cells were sorted into Trizol (Life Technologies) and total RNA was isolated according to the manufacturer's instructions, with the following alterations. RNA was precipitated overnight at -20 °C, with 2.5 ug GlycoBlue (Life Technologies).
RNA was processed using the previously described CEL-seq technique, with the indicated modifications. Libraries were sequenced on an Illumina NextSeq500 using 75bp paired end sequencing.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Description Ki67_3dpMI_1910-M02
Murine hearts 3 days after myocardial infarction
Data processing Paired end reads were aligned to the transcriptome using bwa. Paired end reads obtained by CEL-seq were aligned to the transcriptome using bwa (version 0.6.2-r126) with default parameters. The transcriptome contained all RefSeq gene models based on the mouse genome release mm10 downloaded from the UCSC genome browser and contained 31,109 isoforms derived from 23,480 gene loci. All isoforms of the same gene were merged to a single gene locus. The right mate of each read pair was mapped to the ensemble of all gene loci and to the set of 92 ERCC spike-ins in sense direction. Reads mapping to multiple loci were discarded. The left read contains the barcode information: the first eight bases correspond to the cell specific barcode followed by 4 bases representing the unique molecular identifier. The remainder of the left read contains a polyT stretch followed by few (<15 transcript derived bases). The left read was not used for quantification. For each cell barcode we counted the number of unique molecular identifiers for every transcript and aggregated this number across all transcripts derived from the same gene locus. Based on binomial statistics we converted the number of observed unique molecular identifiers into transcript counts.
Genome_build: mm10
Supplementary_files_format_and_content: coutb files contain UMI barcode normalised abundance counts
 
Submission date Jul 31, 2017
Last update date May 15, 2019
Contact name Kai Kretzschmar
E-mail(s) kai.kretzschmar@uni-wuerzburg.de
Organization name University Hospital Würzburg
Street address Josef-Schneider-Str. 2
City Würzburg
ZIP/Postal code 97080
Country Germany
 
Platform ID GPL19057
Series (1)
GSE102048 Profiling proliferative cells and their progeny in damaged murine hearts
Relations
BioSample SAMN07427089
SRA SRX3049482

Supplementary file Size Download File type/resource
GSM2722420_Ki67_3dpMI_1910-M02.coutb.csv.gz 88.1 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Processed data provided as supplementary file
Processed data are available on Series record
Raw data are available in SRA

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