Literature DB >> 25425670

Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics.

Charles Gawad1, Winston Koh2, Stephen R Quake3.   

Abstract

Many cancers have substantial genomic heterogeneity within a given tumor, and to fully understand that diversity requires the ability to perform single cell analysis. We performed targeted sequencing of a panel of single nucleotide variants (SNVs), deletions, and IgH sequences in 1,479 single tumor cells from six acute lymphoblastic leukemia (ALL) patients. By accurately segregating groups of cooccurring mutations into distinct clonal populations, we identified codominant clones in the majority of patients. Evaluation of intraclonal mutation patterns identified clone-specific punctuated cytosine mutagenesis events, showed that most structural variants are acquired before SNVs, determined that KRAS mutations occur late in disease development but are not sufficient for clonal dominance, and identified clones within the same patient that are arrested at varied stages in B-cell development. Taken together, these data order the sequence of genetic events that underlie childhood ALL and provide a framework for understanding the development of the disease at single-cell resolution.

Entities:  

Keywords:  acute lymphoblastic leukemia; clonal evolution; cytosine mutagenesis; intratumor heterogeneity; single-cell genomics

Mesh:

Year:  2014        PMID: 25425670      PMCID: PMC4273416          DOI: 10.1073/pnas.1420822111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  26 in total

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Review 2.  AID in somatic hypermutation and class switch recombination.

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Journal:  Cell       Date:  2012-07-20       Impact factor: 41.582

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Journal:  Nat Genet       Date:  2014-01-12       Impact factor: 38.330

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Authors:  Goncalo R Abecasis; Adam Auton; Lisa D Brooks; Mark A DePristo; Richard M Durbin; Robert E Handsaker; Hyun Min Kang; Gabor T Marth; Gil A McVean
Journal:  Nature       Date:  2012-11-01       Impact factor: 49.962

10.  Clonal evolution in breast cancer revealed by single nucleus genome sequencing.

Authors:  Yong Wang; Jill Waters; Marco L Leung; Anna Unruh; Whijae Roh; Xiuqing Shi; Ken Chen; Paul Scheet; Selina Vattathil; Han Liang; Asha Multani; Hong Zhang; Rui Zhao; Franziska Michor; Funda Meric-Bernstam; Nicholas E Navin
Journal:  Nature       Date:  2014-07-30       Impact factor: 49.962

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  115 in total

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2.  An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing.

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Review 5.  Evolutionary scalpels for dissecting tumor ecosystems.

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6.  Computational enhancement of single-cell sequences for inferring tumor evolution.

Authors:  Sayaka Miura; Louise A Huuki; Tiffany Buturla; Tracy Vu; Karen Gomez; Sudhir Kumar
Journal:  Bioinformatics       Date:  2018-09-01       Impact factor: 6.937

7.  Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates.

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Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-13       Impact factor: 11.205

8.  Monovar: single-nucleotide variant detection in single cells.

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Review 9.  Advancing Cancer Research and Medicine with Single-Cell Genomics.

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Review 10.  Tumour heterogeneity and metastasis at single-cell resolution.

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