Literature DB >> 27008852

Identification of Genes That Modulate Susceptibility to Formaldehyde and Imatinib by Functional Genomic Screening in Human Haploid KBM7 Cells.

Hua Shen1, Cliona M McHale1, Syed I Haider1, Cham Jung1, Susie Zhang1, Martyn T Smith1, Luoping Zhang2.   

Abstract

Though current functional genomic screening systems are useful for investigating human susceptibility to chemical toxicity, they have limitations. Well-established, high-throughput yeast mutant screens identify only evolutionarily conserved processes. RNA interference can be applied in human cells but is limited by incomplete gene knockout and off-target effects. Human haploid cell screening is advantageous as it requires knockdown of only a single copy of each gene. A human haploid cell mutant library (KBM7-Mu), derived from a chronic myeloid leukemia (CML) patient, was recently developed and has been used to identify genes that modulate sensitivity to infectious agents and pharmaceutical drugs. Here, we sought to improve the KBM7-Mu screening process to enable efficient screening of environmental chemicals. We developed a semi-solid medium based screening approach that cultures individual mutant colonies from chemically resistant cells, faster (by 2-3 weeks) and with less labor than the original liquid medium-based approach. As proof of principle, we identified genetic mutants that confer resistance to the carcinogen formaldehyde (FA, 12 genes, 18 hits) and the CML chemotherapeutic agent imatinib (6 genes, 13 hits). Validation experiments conducted on KBM7 mutants lacking each of the 18 genes confirmed resistance of 6 FA mutants (CTC1, FCRLA, GOT1, LPR5, M1AP, and MAP2K5) and 1 imatinib-resistant mutant (LYRM9). Despite the improvements to the method, it remains technically challenging to limit false positive findings. Nonetheless, our findings demonstrate the broad applicability of this optimized haploid approach to screen toxic chemicals to identify novel susceptibility genes and gain insight into potential mechanisms of toxicity.
© The Author 2016. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

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Keywords:  KBM7; formaldehyde; functional genomics; haploid; imatinib.

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Year:  2016        PMID: 27008852      PMCID: PMC4914802          DOI: 10.1093/toxsci/kfw032

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  91 in total

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6.  Large-scale evaluation of candidate genes identifies associations between DNA repair and genomic maintenance and development of benzene hematotoxicity.

Authors:  Qing Lan; Luoping Zhang; Min Shen; William J Jo; Roel Vermeulen; Guilan Li; Christopher Vulpe; Sophia Lim; Xuefeng Ren; Stephen M Rappaport; Sonja I Berndt; Meredith Yeager; Jeff Yuenger; Richard B Hayes; Martha Linet; Songnian Yin; Stephen Chanock; Martyn T Smith; Nathaniel Rothman
Journal:  Carcinogenesis       Date:  2008-10-31       Impact factor: 4.944

7.  Werner syndrome protein, WRN, protects cells from DNA damage induced by the benzene metabolite hydroquinone.

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9.  Fluorescence-based phenotypic selection allows forward genetic screens in haploid human cells.

Authors:  Lidia M Duncan; Richard T Timms; Eszter Zavodszky; Florencia Cano; Gordon Dougan; Felix Randow; Paul J Lehner
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10.  Megabase-scale deletion using CRISPR/Cas9 to generate a fully haploid human cell line.

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  3 in total

1.  Applying genome-wide CRISPR to identify known and novel genes and pathways that modulate formaldehyde toxicity.

Authors:  Yun Zhao; Linqing Wei; Abderrahmane Tagmount; Alex Loguinov; Amin Sobh; Alan Hubbard; Cliona M McHale; Christopher J Chang; Chris D Vulpe; Luoping Zhang
Journal:  Chemosphere       Date:  2020-10-22       Impact factor: 7.086

2.  Functional Toxicogenomic Profiling Expands Insight into Modulators of Formaldehyde Toxicity in Yeast.

Authors:  Matthew North; Brandon D Gaytán; Carlos Romero; Vanessa Y De La Rosa; Alex Loguinov; Martyn T Smith; Luoping Zhang; Chris D Vulpe
Journal:  Front Genet       Date:  2016-11-17       Impact factor: 4.599

Review 3.  New tools for old drugs: Functional genetic screens to optimize current chemotherapy.

Authors:  Nora M Gerhards; Sven Rottenberg
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  3 in total

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