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SRX11896351: GSM5534708: BPDCN712_10x_GoT_Rxn2_TET2-3078_ASXL1-1898; Homo sapiens; OTHER
1 ILLUMINA (Illumina NovaSeq 6000) run: 16.3M spots, 2.1G bases, 703.3Mb downloads

Submitted by: NCBI (GEO)
Study: Mitochondrial variant enrichment from high-throughput single-cell RNA-seq resolves clonal populations
show Abstracthide Abstract
Reconstructing lineage relationships in complex tissues can reveal mechanisms underlying development and disease. Recent methods combine single-cell transcriptomics with mitochondrial DNA variant detection to establish lineage relationships in primary human cells, but are not scalable to interrogate complex tissues. To overcome this limitation, here we develop a technology for high-confidence detection of mitochondrial mutations from high-throughput single-cell RNA-sequencing. We use the new method to identify skewed immune cell expansions in primary human clonal hematopoiesis. Overall design: This project demonstrates a new technology to enrich mitochondrial DNA (mtDNA) mutations from 3' single-cell RNA-seq (scRNA-seq) libraries. The technology is termed MAESTER, or Mitochondrial Alteration Enrichment from Single-cell Transcriptomes to Establish Relatedness.
Sample: BPDCN712_10x_GoT_Rxn2_TET2-3078_ASXL1-1898
SAMN20962061 • SRS9907668 • All experiments • All runs
Organism: Homo sapiens
Library:
Instrument: Illumina NovaSeq 6000
Strategy: OTHER
Source: TRANSCRIPTOMIC
Selection: other
Layout: PAIRED
Construction protocol: mRNA and mitochondrial mRNA was extracted by hybridization to polyT oligos on Seq-Well or 10x beads. DNA for ATAC-seq was extracted using the 10x multiome protocol with adaptations as described in DOGMA-Seq (Mimitou et al., Nat Biotech 2021). Seq-Well S3 and 10x 3' v3 single-cell RNA-sequencing library construction methods were utilized for mRNA libraries. MAESTER was used to enrich and sequence mitochondrial mRNA. The 10x Genomics multiome protocol was used for the multiome samples.
Experiment attributes:
GEO Accession: GSM5534708
Links:
Runs: 1 run, 16.3M spots, 2.1G bases, 703.3Mb
Run# of Spots# of BasesSizePublished
SRR1559877916,253,8702.1G703.3Mb2021-12-09

ID:
15814428

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