Literature DB >> 26180099

Delineating cancer evolution with single-cell sequencing.

Nicholas E Navin1.   

Abstract

Single-cell sequencing methods are revolutionizing cancer research and medicine by providing powerful tools to investigate intratumor heterogeneity and rare subpopulations.
Copyright © 2015, American Association for the Advancement of Science.

Entities:  

Mesh：

Year:  2015        PMID： 26180099      PMCID： PMC4785805          DOI： 10.1126/scitranslmed.aac8319

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN： 1946-6234            Impact factor:   17.956


  10 in total

1.  Multivariate analysis of chromosomal imbalances in breast cancer delineates cytogenetic pathways and reveals complex relationships among imbalances.

Authors:  Mattias Höglund; David Gisselsson; Gunnar B Hansen; Torbjörn Säll; Felix Mitelman
Journal:  Cancer Res       Date:  2002-05-01       Impact factor: 12.701

2.  PROBER: oligonucleotide FISH probe design software.

Authors:  Nicholas Navin; Vladimir Grubor; Jim Hicks; Evan Leibu; Elizabeth Thomas; Jennifer Troge; Michael Riggs; Pär Lundin; Susanne Månér; Jonathan Sebat; Anders Zetterberg; Michael Wigler
Journal:  Bioinformatics       Date:  2006-06-01       Impact factor: 6.937

Review 3.  A genetic model for colorectal tumorigenesis.

Authors:  E R Fearon; B Vogelstein
Journal:  Cell       Date:  1990-06-01       Impact factor: 41.582

Review 4.  Human cancers express mutator phenotypes: origin, consequences and targeting.

Authors:  Lawrence A Loeb
Journal:  Nat Rev Cancer       Date:  2011-05-19       Impact factor: 60.716

5.  Tumour evolution inferred by single-cell sequencing.

Authors:  Nicholas Navin; Jude Kendall; Jennifer Troge; Peter Andrews; Linda Rodgers; Jeanne McIndoo; Kerry Cook; Asya Stepansky; Dan Levy; Diane Esposito; Lakshmi Muthuswamy; Alex Krasnitz; W Richard McCombie; James Hicks; Michael Wigler
Journal:  Nature       Date:  2011-03-13       Impact factor: 49.962

6.  Inferring tumor progression from genomic heterogeneity.

Authors:  Nicholas Navin; Alexander Krasnitz; Linda Rodgers; Kerry Cook; Jennifer Meth; Jude Kendall; Michael Riggs; Yvonne Eberling; Jennifer Troge; Vladimir Grubor; Dan Levy; Pär Lundin; Susanne Månér; Anders Zetterberg; James Hicks; Michael Wigler
Journal:  Genome Res       Date:  2009-11-10       Impact factor: 9.043

7.  Large-scale copy number polymorphism in the human genome.

Authors:  Jonathan Sebat; B Lakshmi; Jennifer Troge; Joan Alexander; Janet Young; Pär Lundin; Susanne Månér; Hillary Massa; Megan Walker; Maoyen Chi; Nicholas Navin; Robert Lucito; John Healy; James Hicks; Kenny Ye; Andrew Reiner; T Conrad Gilliam; Barbara Trask; Nick Patterson; Anders Zetterberg; Michael Wigler
Journal:  Science       Date:  2004-07-23       Impact factor: 47.728

8.  SNES: single nucleus exome sequencing.

Authors:  Marco L Leung; Yong Wang; Jill Waters; Nicholas E Navin
Journal:  Genome Biol       Date:  2015-03-25       Impact factor: 13.583

9.  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

Review 10.  Cancer genomics: one cell at a time.

Authors:  Nicholas E Navin
Journal:  Genome Biol       Date:  2014-08-30       Impact factor: 13.583
  10 in total
  16 in total

Review 1.  Next-generation molecular diagnosis: single-cell sequencing from bench to bedside.

Authors:  Wanjun Zhu; Xiao-Yan Zhang; Sadie L Marjani; Jialing Zhang; Wengeng Zhang; Shixiu Wu; Xinghua Pan
Journal:  Cell Mol Life Sci       Date:  2016-10-13       Impact factor: 9.261

Review 2.  High-dimension single-cell analysis applied to cancer.

Authors:  Lili Wang; Kenneth J Livak; Catherine J Wu
Journal:  Mol Aspects Med       Date:  2017-08-30

3.  Individualized Breast Cancer Characterization through Single-Cell Analysis of Tumor and Adjacent Normal Cells.

Authors:  Manjushree Anjanappa; Angelo Cardoso; Lijun Cheng; Safa Mohamad; Andrea Gunawan; Susan Rice; Yan Dong; Lang Li; George E Sandusky; Edward F Srour; Harikrishna Nakshatri
Journal:  Cancer Res       Date:  2017-03-01       Impact factor: 12.701

4.  Highly multiplexed targeted DNA sequencing from single nuclei.

Authors:  Marco L Leung; Yong Wang; Charissa Kim; Ruli Gao; Jerry Jiang; Emi Sei; Nicholas E Navin
Journal:  Nat Protoc       Date:  2016-01-07       Impact factor: 13.491

5.  Clonal genotype and population structure inference from single-cell tumor sequencing.

Authors:  Andrew Roth; Andrew McPherson; Emma Laks; Justina Biele; Damian Yap; Adrian Wan; Maia A Smith; Cydney B Nielsen; Jessica N McAlpine; Samuel Aparicio; Alexandre Bouchard-Côté; Sohrab P Shah
Journal:  Nat Methods       Date:  2016-05-16       Impact factor: 28.547

6.  Single-molecule DNA-mapping and whole-genome sequencing of individual cells.

Authors:  Rodolphe Marie; Jonas N Pedersen; Loic Bærlocher; Kamila Koprowska; Marie Pødenphant; Céline Sabatel; Maksim Zalkovskij; Andrej Mironov; Brian Bilenberg; Neil Ashley; Henrik Flyvbjerg; Walter F Bodmer; Anders Kristensen; Kalim U Mir
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-15       Impact factor: 11.205

7.  Preparing Single-cell DNA Library Using Nextera for Detection of CNV.

Authors:  Larry Xi; Patrick Leong; Aleksandar Mihajlovic
Journal:  Bio Protoc       Date:  2019-02-20

Review 8.  Systems Medicine: The Application of Systems Biology Approaches for Modern Medical Research and Drug Development.

Authors:  Duncan Ayers; Philip J Day
Journal:  Mol Biol Int       Date:  2015-08-18

Review 9.  Statistical and Bioinformatics Analysis of Data from Bulk and Single-Cell RNA Sequencing Experiments.

Authors:  Xiaoqing Yu; Farnoosh Abbas-Aghababazadeh; Y Ann Chen; Brooke L Fridley
Journal:  Methods Mol Biol       Date:  2021

10.  Medoidshift clustering applied to genomic bulk tumor data.

Authors:  Theodore Roman; Lu Xie; Russell Schwartz
Journal:  BMC Genomics       Date:  2016-01-11       Impact factor: 3.969
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