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Sample GSM3692203 Query DataSets for GSM3692203
Status Public on Apr 25, 2019
Title P8_Low
Sample type SRA
 
Source name Adipocyte Progenitor Cell
Organism Homo sapiens
Characteristics tissue: Adipose tissue
cell type: Adipocyte Progenitor Cell
anatomical location: omental
cd34 status: CD34_low
Extracted molecule total RNA
Extraction protocol Human adipose tissue samples were digested in a collagenase 2 buffer to release the stromal vascular fraction (SVF) from mature adipocytes. The SVF cells were stained with fluorescent antibodies specific to CD45, CD31, CD29 and CD34. The human adipocyte precursor cells (APCs) within the SVF were identified in the lineage negative fraction (CD31- CD31-) as CD29+ CD34neg, CD29+ CD34low, CD29+ CD34high cell types and were isolated in a FACS instrument. The isolated cells were frozen immediately, and total RNA was extracted from the frozen cells by using RNeasy Mini kit (Qiagen, Germany). RNA quality of the samples was further assessed by measuring the RNA integrity number (RIN) using the Agilent 2100 Bioanalyzer (Agilent Biosystems) and the RNA concentration was assessed in a Qubit Bioanalyzer (ThermoFisher Scientific).
The RNA samples were first amplified using the Ovation RNA-Seq system V2 kit (NuGEN, protocol M01206v5, 2013) in a thermocycler and then subjected to cDNA synthesis. Single Primer Isothermal strand-displacement Amplification (SPIA) technology was adopted to synthesize cDNA. A total of 15 cDNA libraries were constructed from the RNA samples by this process. The RNA-seq libraries were then constructed from the cDNA samples by using the Ovation Ultralow System V2 (NuGEN) as per the product instructions. An equimolar pool (12 pM) of the all the ligated sample libraries, ~274 bp in size on an average, were pooled and hybridized onto two lanes of the HiSeq 1500 high-output flowcell per sample.
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina HiSeq 1500
 
Description sample name in processed data file:
16-01794
Data processing read trimming was done with Trimmomatic and the following parameters: LEADING:20 TRAILING:20 SLIDINGWINDOW:4:15 MINLEN:30 ILLUMINACLIP:Illumina_adaptors.fa:2:30:10
reads were mapped to the hg19 build of the human genome using STAR-2.4.1d
uniquely mapping reads were assigned to gene exons and splice-junctions using featureCounts (Rsubread package version 1.4.6)
Keep genes with least 1 count-per-million reads (cpm) in at least 3 samples
Apply TMM library-size normalization (edgeR)
Call differentially expressed genes using Limma-Voom
Genome_build: hg19
Supplementary_files_format_and_content: tab-delimited text file of the gene-count matrix
 
Submission date Mar 29, 2019
Last update date Apr 25, 2019
Contact name Stuart Kenneth Archer
Organization name Monash University
Department Monash Bioinformatics Platform
Street address 15 Innovation Walk, Monash University
City Clayton
State/province VIC
ZIP/Postal code 3800
Country Australia
 
Platform ID GPL18460
Series (1)
GSE129042 Identification of metabolically distinct adipocyte progenitor cells in human adipose tissues
Relations
BioSample SAMN11287911
SRA SRX5600869

Supplementary data files not provided
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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