Literature DB >> 35982229

Mastering the use of cellular barcoding to explore cancer heterogeneity.

Antonin Serrano1,2,3,4, Jean Berthelet1,2, Shalin H Naik3,4, Delphine Merino5,6,7,8.   

Abstract

Tumours are often composed of a multitude of malignant clones that are genomically unique, and only a few of them may have the ability to escape cancer therapy and grow as symptomatic lesions. As a result, tumours with a large degree of genomic diversity have a higher chance of leading to patient death. However, clonal fate can be driven by non-genomic features. In this context, new technologies are emerging not only to track the spatiotemporal fate of individual cells and their progeny but also to study their molecular features using various omics analysis. In particular, the recent development of cellular barcoding facilitates the labelling of tens to millions of cancer clones and enables the identification of the complex mechanisms associated with clonal fate in different microenvironments and in response to therapy. In this Review, we highlight the recent discoveries made using lentiviral-based cellular barcoding techniques, namely genetic and optical barcoding. We also emphasize the strengths and limitations of each of these technologies and discuss some of the key concepts that must be taken into consideration when one is designing barcoding experiments. Finally, we suggest new directions to further improve the use of these technologies in cancer research.
© 2022. Springer Nature Limited.

Entities:  

Year:  2022        PMID: 35982229     DOI: 10.1038/s41568-022-00500-2

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   69.800


  108 in total

Review 1.  Tumorigenesis: it takes a village.

Authors:  Doris P Tabassum; Kornelia Polyak
Journal:  Nat Rev Cancer       Date:  2015-07-02       Impact factor: 60.716

Review 2.  Cellular barcoding: a technical appraisal.

Authors:  Shalin H Naik; Ton N Schumacher; Leïla Perié
Journal:  Exp Hematol       Date:  2014-07-01       Impact factor: 3.084

3.  Clonal Analysis of Cells with Cellular Barcoding: When Numbers and Sizes Matter.

Authors:  Leonid V Bystrykh; Mirjam E Belderbos
Journal:  Methods Mol Biol       Date:  2016

4.  Chemoresistance Evolution in Triple-Negative Breast Cancer Delineated by Single-Cell Sequencing.

Authors:  Charissa Kim; Ruli Gao; Emi Sei; Rachel Brandt; Johan Hartman; Thomas Hatschek; Nicola Crosetto; Theodoros Foukakis; Nicholas E Navin
Journal:  Cell       Date:  2018-04-19       Impact factor: 41.582

Review 5.  Intratumor Heterogeneity: The Rosetta Stone of Therapy Resistance.

Authors:  Andriy Marusyk; Michalina Janiszewska; Kornelia Polyak
Journal:  Cancer Cell       Date:  2020-04-13       Impact factor: 31.743

6.  The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups.

Authors:  Christina Curtis; Sohrab P Shah; Suet-Feung Chin; Gulisa Turashvili; Oscar M Rueda; Mark J Dunning; Doug Speed; Andy G Lynch; Shamith Samarajiwa; Yinyin Yuan; Stefan Gräf; Gavin Ha; Gholamreza Haffari; Ali Bashashati; Roslin Russell; Steven McKinney; Anita Langerød; Andrew Green; Elena Provenzano; Gordon Wishart; Sarah Pinder; Peter Watson; Florian Markowetz; Leigh Murphy; Ian Ellis; Arnie Purushotham; Anne-Lise Børresen-Dale; James D Brenton; Simon Tavaré; Carlos Caldas; Samuel Aparicio
Journal:  Nature       Date:  2012-04-18       Impact factor: 49.962

7.  Barcoding reveals complex clonal behavior in patient-derived xenografts of metastatic triple negative breast cancer.

Authors:  D Merino; T S Weber; A Serrano; F Vaillant; K Liu; B Pal; L Di Stefano; J Schreuder; D Lin; Y Chen; M L Asselin-Labat; T N Schumacher; D Cameron; G K Smyth; A T Papenfuss; G J Lindeman; J E Visvader; S H Naik
Journal:  Nat Commun       Date:  2019-02-15       Impact factor: 14.919

Review 8.  Impact of Tumor and Immunological Heterogeneity on the Anti-Cancer Immune Response.

Authors:  Carolyn Shembrey; Nicholas D Huntington; Frédéric Hollande
Journal:  Cancers (Basel)       Date:  2019-08-21       Impact factor: 6.639

Review 9.  High-throughput single-сell sequencing in cancer research.

Authors:  Qingzhu Jia; Han Chu; Zheng Jin; Haixia Long; Bo Zhu
Journal:  Signal Transduct Target Ther       Date:  2022-05-03

Review 10.  Integrating genetic and non-genetic determinants of cancer evolution by single-cell multi-omics.

Authors:  Anna S Nam; Ronan Chaligne; Dan A Landau
Journal:  Nat Rev Genet       Date:  2020-08-17       Impact factor: 53.242

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