Literature DB >> 32215369

Joint single cell DNA-seq and RNA-seq of gastric cancer cell lines reveals rules of in vitro evolution.

Noemi Andor1, Billy T Lau2, Claudia Catalanotti3, Anuja Sathe4, Matthew Kubit4, Jiamin Chen4, Cristina Blaj5, Athena Cherry6, Charles D Bangs6, Susan M Grimes2, Carlos J Suarez6, Hanlee P Ji2,4.   

Abstract

Cancer cell lines are not homogeneous nor are they static in their genetic state and biological properties. Genetic, transcriptional and phenotypic diversity within cell lines contributes to the lack of experimental reproducibility frequently observed in tissue-culture-based studies. While cancer cell line heterogeneity has been generally recognized, there are no studies which quantify the number of clones that coexist within cell lines and their distinguishing characteristics. We used a single-cell DNA sequencing approach to characterize the cellular diversity within nine gastric cancer cell lines and integrated this information with single-cell RNA sequencing. Overall, we sequenced the genomes of 8824 cells, identifying between 2 and 12 clones per cell line. Using the transcriptomes of more than 28 000 single cells from the same cell lines, we independently corroborated 88% of the clonal structure determined from single cell DNA analysis. For one of these cell lines, we identified cell surface markers that distinguished two subpopulations and used flow cytometry to sort these two clones. We identified substantial proportions of replicating cells in each cell line, assigned these cells to subclones detected among the G0/G1 population and used the proportion of replicating cells per subclone as a surrogate of each subclone's growth rate.
© The Author(s) 2019. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

Entities:  

Year:  2020        PMID: 32215369      PMCID: PMC7079336          DOI: 10.1093/nargab/lqaa016

Source DB:  PubMed          Journal:  NAR Genom Bioinform        ISSN: 2631-9268


  37 in total

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Authors:  O Gascuel
Journal:  Mol Biol Evol       Date:  1997-07       Impact factor: 16.240

2.  Nicotinic Acid Phosphoribosyltransferase Regulates Cancer Cell Metabolism, Susceptibility to NAMPT Inhibitors, and DNA Repair.

Authors:  Francesco Piacente; Irene Caffa; Silvia Ravera; Giovanna Sociali; Mario Passalacqua; Valerio G Vellone; Pamela Becherini; Daniele Reverberi; Fiammetta Monacelli; Alberto Ballestrero; Patrizio Odetti; Antonia Cagnetta; Michele Cea; Aimable Nahimana; Michel Duchosal; Santina Bruzzone; Alessio Nencioni
Journal:  Cancer Res       Date:  2017-05-15       Impact factor: 12.701

3.  Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.

Authors:  Anoop P Patel; Itay Tirosh; John J Trombetta; Alex K Shalek; Shawn M Gillespie; Hiroaki Wakimoto; Daniel P Cahill; Brian V Nahed; William T Curry; Robert L Martuza; David N Louis; Orit Rozenblatt-Rosen; Mario L Suvà; Aviv Regev; Bradley E Bernstein
Journal:  Science       Date:  2014-06-12       Impact factor: 47.728

4.  Metastasis Seeding Cells: Lone Invaders or Mass Migrators?

Authors:  Marco Gerlinger
Journal:  Clin Cancer Res       Date:  2018-01-31       Impact factor: 12.531

5.  Intra-tumor genetic heterogeneity and mortality in head and neck cancer: analysis of data from the Cancer Genome Atlas.

Authors:  Edmund A Mroz; Aaron D Tward; Aaron M Tward; Rebecca J Hammon; Yin Ren; James W Rocco
Journal:  PLoS Med       Date:  2015-02-10       Impact factor: 11.069

6.  Integrated genome and transcriptome sequencing of the same cell.

Authors:  Siddharth S Dey; Lennart Kester; Bastiaan Spanjaard; Magda Bienko; Alexander van Oudenaarden
Journal:  Nat Biotechnol       Date:  2015-01-19       Impact factor: 54.908

7.  Tracking Cancer Evolution Reveals Constrained Routes to Metastases: TRACERx Renal.

Authors:  Samra Turajlic; Hang Xu; Kevin Litchfield; Andrew Rowan; Tim Chambers; Jose I Lopez; David Nicol; Tim O'Brien; James Larkin; Stuart Horswell; Mark Stares; Lewis Au; Mariam Jamal-Hanjani; Ben Challacombe; Ashish Chandra; Steve Hazell; Claudia Eichler-Jonsson; Aspasia Soultati; Simon Chowdhury; Sarah Rudman; Joanna Lynch; Archana Fernando; Gordon Stamp; Emma Nye; Faiz Jabbar; Lavinia Spain; Sharanpreet Lall; Rosa Guarch; Mary Falzon; Ian Proctor; Lisa Pickering; Martin Gore; Thomas B K Watkins; Sophia Ward; Aengus Stewart; Renzo DiNatale; Maria F Becerra; Ed Reznik; James J Hsieh; Todd A Richmond; George F Mayhew; Samantha M Hill; Catherine D McNally; Carol Jones; Heidi Rosenbaum; Stacey Stanislaw; Daniel L Burgess; Nelson R Alexander; Charles Swanton
Journal:  Cell       Date:  2018-04-12       Impact factor: 41.582

8.  Quantifying evolutionary dynamics from variant-frequency time series.

Authors:  Bhavin S Khatri
Journal:  Sci Rep       Date:  2016-09-12       Impact factor: 4.379

9.  Patient-derived xenografts undergo mouse-specific tumor evolution.

Authors:  Uri Ben-David; Gavin Ha; Yuen-Yi Tseng; Noah F Greenwald; Coyin Oh; Juliann Shih; James M McFarland; Bang Wong; Jesse S Boehm; Rameen Beroukhim; Todd R Golub
Journal:  Nat Genet       Date:  2017-10-09       Impact factor: 38.330

10.  Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data.

Authors:  Jean Fan; Hae-Ock Lee; Soohyun Lee; Da-Eun Ryu; Semin Lee; Catherine Xue; Seok Jin Kim; Kihyun Kim; Nikolaos Barkas; Peter J Park; Woong-Yang Park; Peter V Kharchenko
Journal:  Genome Res       Date:  2018-06-13       Impact factor: 9.043

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  17 in total

1.  Haplotype-aware analysis of somatic copy number variations from single-cell transcriptomes.

Authors:  Teng Gao; Ruslan Soldatov; Hirak Sarkar; Adam Kurkiewicz; Evan Biederstedt; Po-Ru Loh; Peter V Kharchenko
Journal:  Nat Biotechnol       Date:  2022-09-26       Impact factor: 68.164

Review 2.  Applications and Achievements of Single-Cell Sequencing in Gastrointestinal Cancer.

Authors:  Zhenliang Xie; Jincheng Li; Pu Huang; Ye Zhang; Jingkuan Yang; Kangdong Liu; Yanan Jiang
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

3.  Tipping Cancer Cells Over the Edge: The Context-Dependent Cost of High Ploidy.

Authors:  Noemi Andor; Philipp M Altrock; Navami Jain; Ana P Gomes
Journal:  Cancer Res       Date:  2022-03-01       Impact factor: 13.312

4.  Integrating Mathematical Modeling with High-Throughput Imaging Explains How Polyploid Populations Behave in Nutrient-Sparse Environments.

Authors:  Gregory J Kimmel; Mark Dane; Laura M Heiser; Philipp M Altrock; Noemi Andor
Journal:  Cancer Res       Date:  2020-09-16       Impact factor: 12.701

5.  Integrative single-cell analysis of allele-specific copy number alterations and chromatin accessibility in cancer.

Authors:  Chi-Yun Wu; Billy T Lau; Heon Seok Kim; Anuja Sathe; Susan M Grimes; Hanlee P Ji; Nancy R Zhang
Journal:  Nat Biotechnol       Date:  2021-05-20       Impact factor: 68.164

6.  SCSilicon: a tool for synthetic single-cell DNA sequencing data generation.

Authors:  Xikang Feng; Lingxi Chen
Journal:  BMC Genomics       Date:  2022-05-11       Impact factor: 4.547

7.  Pseudogenes, RNAs and new reproducibility norms.

Authors:  George A Calin
Journal:  Elife       Date:  2020-04-21       Impact factor: 8.140

8.  Single-Cell Gene Network Analysis and Transcriptional Landscape of MYCN-Amplified Neuroblastoma Cell Lines.

Authors:  Daniele Mercatelli; Nicola Balboni; Alessandro Palma; Emanuela Aleo; Pietro Paolo Sanna; Giovanni Perini; Federico Manuel Giorgi
Journal:  Biomolecules       Date:  2021-01-28

9.  Copy number evolution with weighted aberrations in cancer.

Authors:  Ron Zeira; Benjamin J Raphael
Journal:  Bioinformatics       Date:  2020-07-01       Impact factor: 6.937

Review 10.  Dive into Single, Seek Out Multiple: Probing Cancer Metastases via Single-Cell Sequencing and Imaging Techniques.

Authors:  Shang Su; Xiaohong Li
Journal:  Cancers (Basel)       Date:  2021-03-03       Impact factor: 6.639

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