Literature DB >> 25213246

Phenomic assessment of genetic buffering by kinetic analysis of cell arrays.

John Rodgers1, Jingyu Guo, John L Hartman.   

Abstract

Quantitative high-throughput cell array phenotyping (Q-HTCP) is applied to the genomic collection of yeast gene deletion mutants for systematic, comprehensive assessment of the contribution of genes and gene combinations to any phenotype of interest (phenomic analysis). Interacting gene networks influence every phenotype. Genetic buffering refers to how gene interaction networks stabilize or destabilize a phenotype. Like genomics, phenomics varies in its resolution with there being a trade-off allocating a greater number of measurements per sample to enhance quantification of the phenotype vs. increasing the number of different samples by obtaining fewer measurements per sample. The Q-HTCP protocol we describe assesses 50,000-70,000 cultures per experiment by obtaining kinetic growth curves from time series imaging of agar cell arrays. This approach was developed for the yeast gene deletion strains, but it could be applied as well to other microbial mutant arrays grown on solid agar media. The methods we describe are for creation and maintenance of frozen stocks, liquid source array preparation, agar destination plate printing, image scanning, image analysis, curve fitting, and evaluation of gene interaction.

Entities:  

Mesh:

Year:  2014        PMID: 25213246      PMCID: PMC4920064          DOI: 10.1007/978-1-4939-1363-3_12

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  26 in total

Review 1.  Principles for the buffering of genetic variation.

Authors:  J L Hartman; B Garvik; L Hartwell
Journal:  Science       Date:  2001-02-09       Impact factor: 47.728

Review 2.  Measuring growth rate in high-throughput growth phenotyping.

Authors:  Anders Blomberg
Journal:  Curr Opin Biotechnol       Date:  2010-11-20       Impact factor: 9.740

3.  Systematic pathway analysis using high-resolution fitness profiling of combinatorial gene deletions.

Authors:  Robert P St Onge; Ramamurthy Mani; Julia Oh; Michael Proctor; Eula Fung; Ronald W Davis; Corey Nislow; Frederick P Roth; Guri Giaever
Journal:  Nat Genet       Date:  2007-01-07       Impact factor: 38.330

4.  Stringent mating-type-regulated auxotrophy increases the accuracy of systematic genetic interaction screens with Saccharomyces cerevisiae mutant arrays.

Authors:  Indira Singh; Rebecca Pass; Sine Ozmen Togay; John W Rodgers; John L Hartman
Journal:  Genetics       Date:  2008-10-28       Impact factor: 4.562

5.  Recursive expectation-maximization clustering: a method for identifying buffering mechanisms composed of phenomic modules.

Authors:  Jingyu Guo; Dehua Tian; Brett A McKinney; John L Hartman
Journal:  Chaos       Date:  2010-06       Impact factor: 3.642

6.  Systematic genetic analysis with ordered arrays of yeast deletion mutants.

Authors:  A H Tong; M Evangelista; A B Parsons; H Xu; G D Bader; N Pagé; M Robinson; S Raghibizadeh; C W Hogue; H Bussey; B Andrews; M Tyers; C Boone
Journal:  Science       Date:  2001-12-14       Impact factor: 47.728

7.  The genetic landscape of a cell.

Authors:  Michael Costanzo; Anastasia Baryshnikova; Jeremy Bellay; Yungil Kim; Eric D Spear; Carolyn S Sevier; Huiming Ding; Judice L Y Koh; Kiana Toufighi; Sara Mostafavi; Jeany Prinz; Robert P St Onge; Benjamin VanderSluis; Taras Makhnevych; Franco J Vizeacoumar; Solmaz Alizadeh; Sondra Bahr; Renee L Brost; Yiqun Chen; Murat Cokol; Raamesh Deshpande; Zhijian Li; Zhen-Yuan Lin; Wendy Liang; Michaela Marback; Jadine Paw; Bryan-Joseph San Luis; Ermira Shuteriqi; Amy Hin Yan Tong; Nydia van Dyk; Iain M Wallace; Joseph A Whitney; Matthew T Weirauch; Guoqing Zhong; Hongwei Zhu; Walid A Houry; Michael Brudno; Sasan Ragibizadeh; Balázs Papp; Csaba Pál; Frederick P Roth; Guri Giaever; Corey Nislow; Olga G Troyanskaya; Howard Bussey; Gary D Bader; Anne-Claude Gingras; Quaid D Morris; Philip M Kim; Chris A Kaiser; Chad L Myers; Brenda J Andrews; Charles Boone
Journal:  Science       Date:  2010-01-22       Impact factor: 47.728

8.  Leveraging models of cell regulation and GWAS data in integrative network-based association studies.

Authors:  Andrea Califano; Atul J Butte; Stephen Friend; Trey Ideker; Eric Schadt
Journal:  Nat Genet       Date:  2012-07-27       Impact factor: 38.330

9.  Accurate, precise modeling of cell proliferation kinetics from time-lapse imaging and automated image analysis of agar yeast culture arrays.

Authors:  Najaf A Shah; Richard J Laws; Bradley Wardman; Lue Ping Zhao; John L Hartman
Journal:  BMC Syst Biol       Date:  2007-01-08

10.  Systematic quantification of gene interactions by phenotypic array analysis.

Authors:  John L Hartman; Nicholas P Tippery
Journal:  Genome Biol       Date:  2004-06-29       Impact factor: 13.583

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  6 in total

1.  Long-range coupling between the extracellular gates and the intracellular ATP binding domains of multidrug resistance protein pumps and cystic fibrosis transmembrane conductance regulator channels.

Authors:  Shipeng Wei; Bryan C Roessler; Mert Icyuz; Sylvain Chauvet; Binli Tao; John L Hartman; Kevin L Kirk
Journal:  FASEB J       Date:  2015-11-25       Impact factor: 5.191

2.  Gene-nutrient interaction markedly influences yeast chronological lifespan.

Authors:  Daniel L Smith; Crystal H Maharrey; Christopher R Carey; Richard A White; John L Hartman
Journal:  Exp Gerontol       Date:  2016-04-25       Impact factor: 4.032

3.  High-resolution yeast quiescence profiling in human-like media reveals complex influences of auxotrophy and nutrient availability.

Authors:  Sean M Santos; Samantha Laflin; Audrie Broadway; Cosby Burnet; Joline Hartheimer; John Rodgers; Daniel L Smith; John L Hartman
Journal:  Geroscience       Date:  2020-10-05       Impact factor: 7.713

4.  Yeast Phenomics: An Experimental Approach for Modeling Gene Interaction Networks that Buffer Disease.

Authors:  John L Hartman; Chandler Stisher; Darryl A Outlaw; Jingyu Guo; Najaf A Shah; Dehua Tian; Sean M Santos; John W Rodgers; Richard A White
Journal:  Genes (Basel)       Date:  2015-02-06       Impact factor: 4.096

5.  A Humanized Yeast Phenomic Model of Deoxycytidine Kinase to Predict Genetic Buffering of Nucleoside Analog Cytotoxicity.

Authors:  Sean M Santos; Mert Icyuz; Ilya Pound; Doreen William; Jingyu Guo; Brett A McKinney; Michael Niederweis; John Rodgers; John L Hartman
Journal:  Genes (Basel)       Date:  2019-09-30       Impact factor: 4.096

6.  A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin.

Authors:  Sean M Santos; John L Hartman
Journal:  Cancer Metab       Date:  2019-10-23
  6 in total

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