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Sample GSM3963874 Query DataSets for GSM3963874
Status Public on Dec 12, 2019
Title AB5665
Sample type SRA
 
Source name Brain cortex
Organism Homo sapiens
Characteristics tissue: Brain
cell type: Immune cells
selection marker: CD45+
source: BioLegend
catalog#: 304058
age: 55y
Extracted molecule polyA RNA
Extraction protocol Single-cell libraries were prepared as previously described (Keren-Shaul, Nature Protocols, 2019). In brief, mRNA from cell sorted into cell capture plates are barcoded and converted into cDNA and pooled using an automated pipeline. The pooled sample is then linearly amplified by T7 in vitro transcription, and the resulting RNA is fragmented and converted into a sequencing-ready library by tagging the samples with pool barcodes and Illumina sequences during ligation, RT, and PCR. Each pool of cells was tested for library quality and concentration is assessed as described earlier (Keren-Shaul, Nature Protocols, 2019).
Single-cell RNA-seq libraries were prepared as previously described {Jaitin, 2014}. In brief, mRNA from single cells sorted into capture plates were barcoded and converted into cDNA and then pooled using an automated pipeline. The pooled sample was linearly amplified by T7 in vitro transcription, and the resulting RNA was fragmented and converted into a sequencing-ready library by tagging the samples with pool barcodes and Illumina sequences during ligation, RT, and PCR. Each pool of cells was tested for library quality and concentration as described previously {Jaitin, 2014}
 
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: hg38
Genome_build: Mmul 8.0.1
Genome_build: calJac3
Genome_build: Oar v3.1
Genome_build: Rnor 6.0
Genome_build: mm10
Genome_build: S.galili v1.0
Genome_build: MesAur1.0
Genome_build: galGal5
Genome_build: danRer10
Supplementary_files_format_and_content: tab-delimited text files include mRNA molecule count values for each Sample
 
Submission date Jul 23, 2019
Last update date Jun 17, 2020
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 GPL18573
Series (2)
GSE134705 Cross-species analysis across 450 million years of evolution reveals conservation and divergence of the microglia program (scRNA-seq)
GSE134707 Cross-species analysis across 450 million years of evolution reveals conservation and divergence of the microglia program
Relations
BioSample SAMN12342285
SRA SRX8555979

Supplementary file Size Download File type/resource
GSM3963874_AB5665.txt.gz 647.9 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Processed data provided as supplementary file
Raw data not provided for this record

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