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Sample GSM5278034 Query DataSets for GSM5278034
Status Public on May 05, 2021
Title AB3122 269 UT m_2 CD45
Sample type SRA
 
Source name 269 UT m_2 CD45
Organism Mus musculus
Characteristics strain: c57bl/6
organ: MCA205 tumor
cell type: Immune cells
selection marker: CD45
age: 8 weeks
Sex: female
Extracted molecule polyA RNA
Extraction protocol Single cells were sorted into 384-well plates and single cell RNA-seq libraries were generated using a modified version of the single cell MARS-seq protocol [Jaitin et al., Science 2014; Keren-Shaul et al., Nature Protocols 2019]. In brief, mRNA from cells sorted into cell capture plates were barcoded, converted into cDNA and pooled using an automated pipeline. The pooled cDNA are then amplified and Illumina libraries are being generated.
single cell RNA-seq for gene expression quantitation
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NovaSeq 6000
 
Description AB3122
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: mm10
Supplementary_files_format_and_content: tab-delimited text files include mRNA molecule count values for each Sample
 
Submission date May 03, 2021
Last update date May 06, 2021
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 GPL24247
Series (2)
GSE173773 Multi-resolution deconvolution of spatial transcriptomics data reveals continuous patterns of inflammation (scMARS-Seq)
GSE173778 Multi-resolution deconvolution of spatial transcriptomics data reveals continuous patterns of inflammation
Relations
BioSample SAMN18988700
SRA SRX10760593

Supplementary file Size Download File type/resource
GSM5278034_AB3122.txt.gz 1.0 Mb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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