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Series GSE122582 Query DataSets for GSE122582
Status Public on Feb 28, 2019
Title Human lineage tracing enabled by mitochondrial mutations and single cell genomics [CRC_scRNA]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Lineage tracing provides unprecedented insights into the fate of individual cells and their progeny in complex organisms. While effective genetic approaches have been developed in vitro and in animal models, these cannot be used to interrogate human physiology in vivo. Instead, naturally occurring somatic mutations have been utilized to infer clonality and lineal relationships between cells in human tissues, but current approaches are limited by high error rates and scale, and provide little information about the state or function of the cells. Here, we show how somatic mutations in mitochondrial DNA (mtDNA) can be tracked by current single cell RNA-Seq (scRNA-Seq) or single cell ATAC-Seq (scATAC-Seq) for simultaneous analysis of single cell lineage and state. We leverage somatic mtDNA mutations as natural genetic barcodes and demonstrate their use as clonal markers to infer lineal relationships. We trace the lineage of human cells by somatic mtDNA mutations in a native context both in vitro and in vivo, and relate it to expression profiles and chromatin accessibility. Our approach should allow lineage tracing at a 100- to 1,000-fold greater scale than with single cell whole genome sequencing, while providing information on cell state, opening the way to chart detailed cell lineage and fate maps in human health and disease.
 
Overall design Primary cells from a patient with colorectal adenocarcinoma were sorted based on EPCAM+ surface marker expression and forwarded to a combination of 1) ATAC-seq and single cell RNA-seq. The single-cell RNA-seq data are listed here.
 
Contributor(s) Ludwig L, Lareau C
Citation(s) 30827679
Submission date Nov 15, 2018
Last update date May 30, 2019
Contact name Caleb Lareau
E-mail(s) lareauc@mskcc.org
Organization name Memorial Sloan Kettering
Street address 417 E 68th St, Zuckerman - ZRC 1132
City New York
State/province New York
ZIP/Postal code 10065
Country USA
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (272)
GSM3475017 TumA_01_neg_S1
GSM3475018 TumA_02_S2
GSM3475019 TumA_03_S3
This SubSeries is part of SuperSeries:
GSE115218 Human lineage tracing enabled by mitochondrial mutations and single cell genomics
Relations
BioProject PRJNA505670
SRA SRP168821

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE122582_scRNAseq_CRC_mito.txt.gz 1.8 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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