Literature DB >> 34330826

PolyG-DS: An ultrasensitive polyguanine tract-profiling method to detect clonal expansions and trace cell lineage.

Yuezheng Zhang1, Brendan F Kohrn1, Ming Yang1, Daniela Nachmanson1, T Rinda Soong1, I-Hsiu Lee2,3, Yong Tao4,5, Hans Clevers6, Elizabeth M Swisher7, Teresa A Brentnall8, Lawrence A Loeb1, Scott R Kennedy1, Jesse J Salk9, Kamila Naxerova2,3, Rosa Ana Risques10.   

Abstract

Polyguanine tracts (PolyGs) are short guanine homopolymer repeats that are prone to accumulating mutations when cells divide. This feature makes them especially suitable for cell lineage tracing, which has been exploited to detect and characterize precancerous and cancerous somatic evolution. PolyG genotyping, however, is challenging because of the inherent biochemical difficulties in amplifying and sequencing repetitive regions. To overcome this limitation, we developed PolyG-DS, a next-generation sequencing (NGS) method that combines the error-correction capabilities of duplex sequencing (DS) with enrichment of PolyG loci using CRISPR-Cas9-targeted genomic fragmentation. PolyG-DS markedly reduces technical artifacts by comparing the sequences derived from the complementary strands of each original DNA molecule. We demonstrate that PolyG-DS genotyping is accurate, reproducible, and highly sensitive, enabling the detection of low-frequency alleles (<0.01) in spike-in samples using a panel of only 19 PolyG markers. PolyG-DS replicated prior results based on PolyG fragment length analysis by capillary electrophoresis, and exhibited higher sensitivity for identifying clonal expansions in the nondysplastic colon of patients with ulcerative colitis. We illustrate the utility of this method for resolving the phylogenetic relationship among precancerous lesions in ulcerative colitis and for tracing the metastatic dissemination of ovarian cancer. PolyG-DS enables the study of tumor evolution without prior knowledge of tumor driver mutations and provides a tool to perform cost-effective and easily scalable ultra-accurate NGS-based PolyG genotyping for multiple applications in biology, genetics, and cancer research.

Entities:  

Keywords:  cancer evolution; carcinogenic fields; phylogenetic reconstruction; preneoplastic; somatic evolution

Mesh:

Substances:

Year:  2021        PMID: 34330826      PMCID: PMC8346827          DOI: 10.1073/pnas.2023373118

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


  54 in total

1.  Sequencing small genomic targets with high efficiency and extreme accuracy.

Authors:  Michael W Schmitt; Edward J Fox; Marc J Prindle; Kate S Reid-Bayliss; Lawrence D True; Jerald P Radich; Lawrence A Loeb
Journal:  Nat Methods       Date:  2015-04-06       Impact factor: 28.547

2.  Hypermutable DNA chronicles the evolution of human colon cancer.

Authors:  Kamila Naxerova; Elena Brachtel; Jesse J Salk; Aaron M Seese; Karen Power; Bardia Abbasi; Matija Snuderl; Sarah Chiang; Simon Kasif; Rakesh K Jain
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-21       Impact factor: 11.205

3.  TP53 mutations in serous tubal intraepithelial carcinoma and concurrent pelvic high-grade serous carcinoma--evidence supporting the clonal relationship of the two lesions.

Authors:  Elisabetta Kuhn; Robert J Kurman; Russell Vang; Ann Smith Sehdev; Guangming Han; Robert Soslow; Tian-Li Wang; Ie-Ming Shih
Journal:  J Pathol       Date:  2011-12-23       Impact factor: 7.996

Review 4.  An evolutionary perspective on field cancerization.

Authors:  Kit Curtius; Nicholas A Wright; Trevor A Graham
Journal:  Nat Rev Cancer       Date:  2017-12-08       Impact factor: 60.716

5.  Somatic inflammatory gene mutations in human ulcerative colitis epithelium.

Authors:  Kosaku Nanki; Masayuki Fujii; Mariko Shimokawa; Mami Matano; Shingo Nishikori; Shoichi Date; Ai Takano; Kohta Toshimitsu; Yuki Ohta; Sirirat Takahashi; Shinya Sugimoto; Kazuhiro Ishimaru; Kenta Kawasaki; Yoko Nagai; Ryota Ishii; Kosuke Yoshida; Nobuo Sasaki; Toshifumi Hibi; Soichiro Ishihara; Takanori Kanai; Toshiro Sato
Journal:  Nature       Date:  2019-12-18       Impact factor: 49.962

Review 6.  Cancer-Associated Mutations but No Cancer: Insights into the Early Steps of Carcinogenesis and Implications for Early Cancer Detection.

Authors:  Scott R Kennedy; Yuezheng Zhang; Rosa Ana Risques
Journal:  Trends Cancer       Date:  2019-08-22

7.  MIPSTR: a method for multiplex genotyping of germline and somatic STR variation across many individuals.

Authors:  Keisha D Carlson; Peter H Sudmant; Maximilian O Press; Evan E Eichler; Jay Shendure; Christine Queitsch
Journal:  Genome Res       Date:  2015-02-06       Impact factor: 9.043

8.  Targeted genome fragmentation with CRISPR/Cas9 enables fast and efficient enrichment of small genomic regions and ultra-accurate sequencing with low DNA input (CRISPR-DS).

Authors:  Scott R Kennedy; Rosa Ana Risques; Daniela Nachmanson; Shenyi Lian; Elizabeth K Schmidt; Michael J Hipp; Kathryn T Baker; Yuezheng Zhang; Maria Tretiakova; Kaitlyn Loubet-Senear; Brendan F Kohrn; Jesse J Salk
Journal:  Genome Res       Date:  2018-09-19       Impact factor: 9.043

9.  The evolutionary history of 2,658 cancers.

Authors:  Moritz Gerstung; Clemency Jolly; Ignaty Leshchiner; Stefan C Dentro; Santiago Gonzalez; Daniel Rosebrock; Thomas J Mitchell; Yulia Rubanova; Pavana Anur; Kaixian Yu; Maxime Tarabichi; Amit Deshwar; Jeff Wintersinger; Kortine Kleinheinz; Ignacio Vázquez-García; Kerstin Haase; Lara Jerman; Subhajit Sengupta; Geoff Macintyre; Salem Malikic; Nilgun Donmez; Dimitri G Livitz; Marek Cmero; Jonas Demeulemeester; Steven Schumacher; Yu Fan; Xiaotong Yao; Juhee Lee; Matthias Schlesner; Paul C Boutros; David D Bowtell; Hongtu Zhu; Gad Getz; Marcin Imielinski; Rameen Beroukhim; S Cenk Sahinalp; Yuan Ji; Martin Peifer; Florian Markowetz; Ville Mustonen; Ke Yuan; Wenyi Wang; Quaid D Morris; Paul T Spellman; David C Wedge; Peter Van Loo
Journal:  Nature       Date:  2020-02-06       Impact factor: 49.962

10.  Subclonal reconstruction of tumors by using machine learning and population genetics.

Authors:  Giulio Caravagna; Timon Heide; Marc J Williams; Luis Zapata; Daniel Nichol; Ketevan Chkhaidze; William Cross; George D Cresswell; Benjamin Werner; Ahmet Acar; Louis Chesler; Chris P Barnes; Guido Sanguinetti; Trevor A Graham; Andrea Sottoriva
Journal:  Nat Genet       Date:  2020-09-02       Impact factor: 38.330

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