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Sample GSM6359105 Query DataSets for GSM6359105
Status Public on Oct 10, 2022
Title Mouse retina cell layers, Rep2
Sample type SRA
 
Source name Retina
Organism Mus musculus
Characteristics tissue: Retina
cell type: Mixed retinal layer cells
genotype: WT
genome build: mm39
Extracted molecule total RNA
Extraction protocol Light-Seq
Nextera tagmentation
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NovaSeq 6000
 
Description LS8B
ReorderedLightSeq_RetinaLayers.csv
RGC_2/BP_2/ONL_2 in ReorderedLightSeq_RetinaLayers.csv
Barcodes for each cell population are: TATGGA = ONL; GTTAGG = BCL; AGGGTA = GCL
Data processing Assembly: mm39
'Merged_R1.fastq.gz' files were merged for lanes 1 and 2 based on the i7 index sequence
Extracted Light-Seq DNA barcodes (corresponding to different cell populations) using UMI-tools 1.1.1
Aligned to genome with STAR aligner 2.7.9a
Used featureCounts (subread) 2.0.1 to assign mapped reads to genes
Deduplicated reads based on UMIs + mapped gene pairs (samtools 1.9, 1.12)
Supplementary files format and content: CSV file containing Light-Seq read counts per gene. Rows are genes, columns are replicates for each cell population
 
Submission date Jul 20, 2022
Last update date Oct 10, 2022
Contact name Emma West
E-mail(s) [email protected]
Phone 7742396537
Organization name Harvard Medical School
Department Genetics
Lab Constance Cepko, Peng Yin
Street address 77 Avenue Louis Pasteur
City Boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Platform ID GPL24247
Series (1)
GSE208650 Light-Seq: Light-directed in situ barcoding of biomolecules in fixed cells and tissues for spatially indexed sequencing
Relations
BioSample SAMN29844880
SRA SRX16359036

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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