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Sample GSM3502591 Query DataSets for GSM3502591
Status Public on May 02, 2019
Title Sample 21_AB329
Sample type SRA
 
Source name ES
Organism Mus musculus
Characteristics strain: C57BL/6
cell line: ES
tissue/cell type: Cell line
treatment/sample info.: low volume
protocol optimization parameter: Evaluation of protocol performance, using low volume RT
Growth protocol 6 to 8 weeks-old mice housed at the Weizmann Institute animal facility; Cell lines were grown in tissue culture
Extracted molecule polyA RNA
Extraction protocol For samples 1-16: Each mouse was euthanized and bone marrow harvested by crushing of the femur, tibia and ilia. Cell suspensions were stained with FACS antibodies and single cells sorted into capture plates
For samples 17-34: Cells were trypsinzed to form a single cell suspension and FACS sorted into capture plates
3' end mRNA libraries were prepared for sequencing using MARS-seq2.0 - improvements to MARS-seq (Jaitin et al, Science 2014)
single cell RNA-seq for gene expression quantitation; Second read contained only cell and molecule barcodes. This information was appended to the fastq entry header
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Data processing bcl2fastq/2.15.0.4
Sequences with RMT of low quality (defined as RMT with minimum Phred score of less than 27) were filtered out.
Pool-barcode and well-barcode-RMT were extracted from the first and second end of the read (respectively) and concatenated to the fastq header, delimited by a underscore i.e. POOL_BARCODE_WELL_BARCODE_RMT while "NNNNNN" was used as a place holders if plate barcode was not used.
Reads were separated by POOL_BARCODE_WELL_BARCODE header data, allowing 1 sequencing error. This process created a single fastq file for each source well.
Genome_build: mm9 or hg19
Supplementary_files_format_and_content: tab-delimited text files include mRNA molecule count values for each Sample
 
Submission date Dec 06, 2018
Last update date May 02, 2019
Contact name Ido Amit
E-mail(s) ido.amit@weizmann.ac.il
Phone 972-8-9343338
Organization name Weizmann Institute of Science
Department Immunology
Street address 234 Herzl st.
City Rehovot
ZIP/Postal code 760001
Country Israel
 
Platform ID GPL19057
Series (1)
GSE123392 MARS-seq2.0 an experimental and analytical pipeline for indexed sorting combined with Single-cell RNA sequencing
Relations
BioSample SAMN10525966
SRA SRX5099370

Supplementary file Size Download File type/resource
GSM3502591_AB329.txt.gz 600.5 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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