Literature DB >> 23258894

Genome-wide detection of single-nucleotide and copy-number variations of a single human cell.

Chenghang Zong1, Sijia Lu, Alec R Chapman, X Sunney Xie.   

Abstract

Kindred cells can have different genomes because of dynamic changes in DNA. Single-cell sequencing is needed to characterize these genomic differences but has been hindered by whole-genome amplification bias, resulting in low genome coverage. Here, we report on a new amplification method-multiple annealing and looping-based amplification cycles (MALBAC)-that offers high uniformity across the genome. Sequencing MALBAC-amplified DNA achieves 93% genome coverage ≥1x for a single human cell at 25x mean sequencing depth. We detected digitized copy-number variations (CNVs) of a single cancer cell. By sequencing three kindred cells, we were able to identify individual single-nucleotide variations (SNVs), with no false positives detected. We directly measured the genome-wide mutation rate of a cancer cell line and found that purine-pyrimidine exchanges occurred unusually frequently among the newly acquired SNVs.

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Year:  2012        PMID: 23258894      PMCID: PMC3600412          DOI: 10.1126/science.1229164

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  32 in total

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10.  Multiple mutation analyses in single tumor cells with improved whole genome amplification.

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Journal:  Am J Pathol       Date:  1999-01       Impact factor: 4.307

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  409 in total

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Review 3.  Random monoallelic expression of autosomal genes: stochastic transcription and allele-level regulation.

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Journal:  Nat Rev Genet       Date:  2015-10-07       Impact factor: 53.242

Review 4.  Single-cell genome sequencing: current state of the science.

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Journal:  Nat Rev Genet       Date:  2016-01-25       Impact factor: 53.242

5.  Reproducible copy number variation patterns among single circulating tumor cells of lung cancer patients.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-09       Impact factor: 11.205

Review 6.  Advancing Cancer Research and Medicine with Single-Cell Genomics.

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Journal:  Cancer Cell       Date:  2020-04-13       Impact factor: 31.743

7.  Dissecting genomic diversity, one cell at a time.

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Journal:  Nat Methods       Date:  2014-01       Impact factor: 28.547

8.  Accurate single-cell genotyping utilizing information from the local genome territory.

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Journal:  Nucleic Acids Res       Date:  2021-06-04       Impact factor: 16.971

9.  The Copy Number of the spoVA 2mob Operon Determines Pressure Resistance of Bacillus Endospores.

Authors:  Zhen Li; Felix Schottroff; David J Simpson; Michael G Gänzle
Journal:  Appl Environ Microbiol       Date:  2019-09-17       Impact factor: 4.792

10.  Genome-wide consequences of deleting any single gene.

Authors:  Xinchen Teng; Margaret Dayhoff-Brannigan; Wen-Chih Cheng; Catherine E Gilbert; Cierra N Sing; Nicola L Diny; Sarah J Wheelan; Maitreya J Dunham; Jef D Boeke; Fernando J Pineda; J Marie Hardwick
Journal:  Mol Cell       Date:  2013-11-07       Impact factor: 17.970

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