Literature DB >> 28408603

Single-cell whole-genome analyses by Linear Amplification via Transposon Insertion (LIANTI).

Chongyi Chen1, Dong Xing1, Longzhi Tan1, Heng Li2, Guangyu Zhou1, Lei Huang1,3,4, X Sunney Xie5,3,4.   

Abstract

Single-cell genomics is important for biology and medicine. However, current whole-genome amplification (WGA) methods are limited by low accuracy of copy-number variation (CNV) detection and low amplification fidelity. Here we report an improved single-cell WGA method, Linear Amplification via Transposon Insertion (LIANTI), which outperforms existing methods, enabling micro-CNV detection with kilobase resolution. This allowed direct observation of stochastic firing of DNA replication origins, which differs from cell to cell. We also show that the predominant cytosine-to-thymine mutations observed in single-cell genomics often arise from the artifact of cytosine deamination upon cell lysis. However, identifying single-nucleotide variations (SNVs) can be accomplished by sequencing kindred cells. We determined the spectrum of SNVs in a single human cell after ultraviolet radiation, revealing their nonrandom genome-wide distribution.
Copyright © 2017, American Association for the Advancement of Science.

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Year:  2017        PMID: 28408603      PMCID: PMC5538131          DOI: 10.1126/science.aak9787

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


  62 in total

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3.  Amplified RNA synthesized from limited quantities of heterogeneous cDNA.

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5.  Partial uracil-DNA-glycosylase treatment for screening of ancient DNA.

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6.  Chromatin organization is a major influence on regional mutation rates in human cancer cells.

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

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9.  Mutational Strand Asymmetries in Cancer Genomes Reveal Mechanisms of DNA Damage and Repair.

Authors:  Nicholas J Haradhvala; Paz Polak; Petar Stojanov; Kyle R Covington; Eve Shinbrot; Julian M Hess; Esther Rheinbay; Jaegil Kim; Yosef E Maruvka; Lior Z Braunstein; Atanas Kamburov; Philip C Hanawalt; David A Wheeler; Amnon Koren; Michael S Lawrence; Gad Getz
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  113 in total

1.  Single Amino Acid Variant Discovery in Small Numbers of Cells.

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

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

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