|
Status |
Public on Jan 17, 2018 |
Title |
EB_P1G08_RNA-seq |
Sample type |
SRA |
|
|
Source name |
Embryoid body NMT-seq cell
|
Organism |
Mus musculus |
Characteristics |
cell line: E14 embyonic stem cell derived strain: 12910la
|
Growth protocol |
ESCs were cultured in serum/LIF conditions as described previously (Ficz et al., Cell Stem Cell 13, 351–359)
|
Extracted molecule |
polyA RNA |
Extraction protocol |
DNA and mRNA were seperately purified from single cells using the G&T-seq protocol described previously (Macaulay et al., Nature Protocols, 2016) Libraries were prepared using the G&T-seq protocol described previously (Macaulay et al., Nature Protocols 2016)
|
|
|
Library strategy |
RNA-Seq |
Library source |
transcriptomic |
Library selection |
cDNA |
Instrument model |
Illumina NextSeq 500 |
|
|
Description |
Single-cell RNA-seq EB_RNA_counts.txt.gz
|
Data processing |
Libraries were sequenced on the Illumina HiSeq or NextSeq platform using the default RTA analysis software. Raw sequences were trimmed with Trim Galore (v0.4.3; Cutadapt v1.9.1) and aligned to the GRCm38 genome with HISAT2 (v2.0.5; options --dta --sp 1000,1000 to disallow soft-clipping). Gene expression counts were quantified from the mapped reads using featureCounts within the R package Rsubread. Gene annotations were obtained from Ensembl version 87. Only protein-coding genes matching canonical chromosomes were considered. genome build: GRCm38 Supplementary_files_format_and_content: RNA-Seq reports contain raw counts per gene, with one row per gene (Ensembl Gene ID) and one column for each sample.
|
|
|
Submission date |
Jan 16, 2018 |
Last update date |
Jan 24, 2018 |
Contact name |
Felix Krueger |
E-mail(s) |
fkrueger@altoslabs.com
|
Organization name |
Altos Labs
|
Department |
Bioinformatics
|
Street address |
Granta Park
|
City |
Cambridge |
ZIP/Postal code |
CB21 6GP |
Country |
United Kingdom |
|
|
Platform ID |
GPL19057 |
Series (1) |
GSE109262 |
Joint profiling of chromatin accessibility, DNA methylation and transcription in single cells |
|
Relations |
BioSample |
SAMN08368153 |
SRA |
SRX3585512 |