Literature DB >> 32132147

Environmental Carcinogenesis at the Single-Cell Level.

Gregory Chang1, Kohei Saeki1, Hitomi Mori1, Shiuan Chen2.   

Abstract

Elucidating the mechanisms behind how exposure to environmental chemicals can lead to cancer is not easy due to the complex natures of these compounds and the challenges to establish biologically relevant experimental models to study them. Environmental chemicals often present selective mechanisms of action on different cell types and can be involved in the modulation of targeted cells and their microenvironment, including immune cells. Currently, the limitations of traditional epidemiologic correlation analyses, in vitro cell-based assays, and animal models are that they are unable to comprehensively examine cellular heterogeneity and the tissue-selective influences. To this end, we propose utilizing single-cell RNA-sequencing (scRNA-seq) to more effectively capture the subtle and complex effects of environmental chemicals and how their exposure could lead to cancer. scRNA-seq's capabilities for studying gene expression level data at a significantly higher resolution relative to bulk RNA-sequencing (RNA-seq) enable studies to evaluate how environmental chemicals regulate gene transcription on different cell types as well as how these compounds impact signaling pathways and interactions between cells in the tissue microenvironment. These studies will be valuable for evaluating environmental chemicals' carcinogenic properties at the individual cell level.See all articles in this CEBP Focus section, "Environmental Carcinogenesis: Pathways to Prevention." ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32132147      PMCID: PMC7483229          DOI: 10.1158/1055-9965.EPI-19-1364

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  44 in total

1.  Environmental risk assessment of chemicals and nanomaterials--The best foundation for regulatory decision-making?

Authors:  Kristian Syberg; Steffen Foss Hansen
Journal:  Sci Total Environ       Date:  2015-10-02       Impact factor: 7.963

2.  Comprehensive Integration of Single-Cell Data.

Authors:  Tim Stuart; Andrew Butler; Paul Hoffman; Christoph Hafemeister; Efthymia Papalexi; William M Mauck; Yuhan Hao; Marlon Stoeckius; Peter Smibert; Rahul Satija
Journal:  Cell       Date:  2019-06-06       Impact factor: 41.582

3.  Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons.

Authors:  Suguna Rani Krishnaswami; Rashel V Grindberg; Mark Novotny; Pratap Venepally; Benjamin Lacar; Kunal Bhutani; Sara B Linker; Son Pham; Jennifer A Erwin; Jeremy A Miller; Rebecca Hodge; James K McCarthy; Martin Kelder; Jamison McCorrison; Brian D Aevermann; Francisco Diez Fuertes; Richard H Scheuermann; Jun Lee; Ed S Lein; Nicholas Schork; Michael J McConnell; Fred H Gage; Roger S Lasken
Journal:  Nat Protoc       Date:  2016-02-18       Impact factor: 13.491

Review 4.  The extracellular matrix as a multitasking player in disease.

Authors:  Achilleas D Theocharis; Dimitra Manou; Nikos K Karamanos
Journal:  FEBS J       Date:  2019-04-11       Impact factor: 5.542

5.  DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors.

Authors:  Christopher S McGinnis; Lyndsay M Murrow; Zev J Gartner
Journal:  Cell Syst       Date:  2019-04-03       Impact factor: 10.304

6.  The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.

Authors:  Cole Trapnell; Davide Cacchiarelli; Jonna Grimsby; Prapti Pokharel; Shuqiang Li; Michael Morse; Niall J Lennon; Kenneth J Livak; Tarjei S Mikkelsen; John L Rinn
Journal:  Nat Biotechnol       Date:  2014-03-23       Impact factor: 54.908

7.  Differentiation dynamics of mammary epithelial cells revealed by single-cell RNA sequencing.

Authors:  Karsten Bach; Sara Pensa; Marta Grzelak; James Hadfield; David J Adams; John C Marioni; Walid T Khaled
Journal:  Nat Commun       Date:  2017-12-11       Impact factor: 14.919

8.  Single-Cell RNA Sequencing of Human Embryonic Stem Cell Differentiation Delineates Adverse Effects of Nicotine on Embryonic Development.

Authors:  Hongchao Guo; Lei Tian; Joe Z Zhang; Tomoya Kitani; David T Paik; Won Hee Lee; Joseph C Wu
Journal:  Stem Cell Reports       Date:  2019-02-28       Impact factor: 7.765

9.  Single-cell landscape in mammary epithelium reveals bipotent-like cells associated with breast cancer risk and outcome.

Authors:  Weiyan Chen; Samuel J Morabito; Kai Kessenbrock; Tariq Enver; Kerstin B Meyer; Andrew E Teschendorff
Journal:  Commun Biol       Date:  2019-08-09

10.  Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data.

Authors:  Qian Zhu; Sheel Shah; Ruben Dries; Long Cai; Guo-Cheng Yuan
Journal:  Nat Biotechnol       Date:  2018-10-29       Impact factor: 54.908

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