Literature DB >> 15033507

High-throughput phenotypic profiling of gene-environment interactions by quantitative growth curve analysis in Saccharomyces cerevisiae.

Andrew Weiss1, James Delproposto, Craig N Giroux.   

Abstract

Cell-based assays are widely used in high-throughput screening to determine the effects of toxicants and drugs on their biological targets. To enable a functional genomics modeling of gene-environment interactions, quantitative assays are required both for gene expression and for the phenotypic responses to environmental challenge. To address this need, we describe an automated high-throughput methodology that provides phenotypic profiling of the cellular responses to environmental stress in Saccharomyces cerevisiae. Standardized assay conditions enable the use of a single metric value to quantify yeast microculture growth curves. This assay format allows precise control of both genetic and environmental determinants of the cellular responses to oxidative stress, a common mechanism of environmental insult. These yeast-cell-based assays are validated with hydrogen peroxide, a simple direct-acting oxidant. Phenotypic profiling of the oxidative stress response of a yap1 mutant strain demonstrates the mechanistic analysis of genetic susceptibility to oxidative stress. As a proof of concept for analysis of more complex gene-environment interactions, we describe a combinatorial assay design for phenotypic profiling of the cellular responses to tert-butyl hydroperoxide, a complex oxidant that is actively metabolized by its target cells. Thus, the yeast microculture assay format supports comprehensive applications in toxicogenomics.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15033507     DOI: 10.1016/j.ab.2003.12.020

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  9 in total

1.  Facultative sterol uptake in an ergosterol-deficient clinical isolate of Candida glabrata harboring a missense mutation in ERG11 and exhibiting cross-resistance to azoles and amphotericin B.

Authors:  Claire M Hull; Josie E Parker; Oliver Bader; Michael Weig; Uwe Gross; Andrew G S Warrilow; Diane E Kelly; Steven L Kelly
Journal:  Antimicrob Agents Chemother       Date:  2012-05-21       Impact factor: 5.191

2.  Automated segmentation and classification of high throughput yeast assay spots.

Authors:  Kourosh Jafari-Khouzani; Hamid Soltanian-Zadeh; Farshad Fotouhi; Jodi R Parrish; Russell L Finley
Journal:  IEEE Trans Med Imaging       Date:  2007-10       Impact factor: 10.048

Review 3.  Functional toxicogenomics: mechanism-centered toxicology.

Authors:  Matthew North; Chris D Vulpe
Journal:  Int J Mol Sci       Date:  2010-11-24       Impact factor: 5.923

4.  Nuclear modifier MTO2 modulates the aminoglycoside-sensitivity of mitochondrial 15S rRNA C1477G mutation in Saccharomyces cerevisiae.

Authors:  Xiangyu He; Xiaoyu Zhu; Xuexiang Wang; Wei Wang; Yu Dai; Qingfeng Yan
Journal:  PLoS One       Date:  2013-12-10       Impact factor: 3.240

5.  ATP synthesis in the energy metabolism pathway: a new perspective for manipulating CdSe quantum dots biosynthesized in Saccharomyces cerevisiae.

Authors:  Rong Zhang; Ming Shao; Xu Han; Chuan Wang; Yong Li; Bin Hu; Daiwen Pang; Zhixiong Xie
Journal:  Int J Nanomedicine       Date:  2017-05-19

6.  A simple and inexpensive quantitative technique for determining chemical sensitivity in Saccharomyces cerevisiae.

Authors:  Chao-Wei Hung; Jorge Y Martínez-Márquez; Fatima T Javed; Mara C Duncan
Journal:  Sci Rep       Date:  2018-08-09       Impact factor: 4.379

7.  High-throughput analysis of spatio-temporal dynamics in Dictyostelium.

Authors:  Satoshi Sawai; Xiao-Juan Guan; Adam Kuspa; Edward C Cox
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

8.  Simultaneous saccharification and fermentation of steam exploded duckweed: Improvement of the ethanol yield by increasing yeast titre.

Authors:  X Zhao; G K Moates; A Elliston; D R Wilson; M J Coleman; K W Waldron
Journal:  Bioresour Technol       Date:  2015-07-02       Impact factor: 9.642

9.  Mycobacterium tuberculosis Lsr2 is a global transcriptional regulator required for adaptation to changing oxygen levels and virulence.

Authors:  I L Bartek; L K Woolhiser; A D Baughn; R J Basaraba; W R Jacobs; A J Lenaerts; M I Voskuil
Journal:  MBio       Date:  2014-06-03       Impact factor: 7.867

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.