Literature DB >> 12671661

New technologies to assess genotype-phenotype relationships.

Barry R Bochner1.   

Abstract

The accelerating pace of the discovery of genes has far surpassed our capabilities to understand their biological function--in other words, the phenotypes they engender. We need efficient and comprehensive large-scale phenotyping technologies. This presents a difficult challenge because phenotypes are numerous and diverse, and they can be observed and annotated at the molecular, cellular and organismal level. New technologies and approaches will therefore be required. Here, I describe recent efforts to develop new and efficient technologies for assessing cellular phenotypes.

Mesh:

Year:  2003        PMID: 12671661     DOI: 10.1038/nrg1046

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  86 in total

1.  Phenotype microarray analysis of Escherichia coli K-12 mutants with deletions of all two-component systems.

Authors:  Lu Zhou; Xiang-He Lei; Barry R Bochner; Barry L Wanner
Journal:  J Bacteriol       Date:  2003-08       Impact factor: 3.490

2.  The evolution of a pleiotropic fitness tradeoff in Pseudomonas fluorescens.

Authors:  R Craig MacLean; Graham Bell; Paul B Rainey
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-18       Impact factor: 11.205

3.  Rapid and robust resampling-based multiple-testing correction with application in a genome-wide expression quantitative trait loci study.

Authors:  Xiang Zhang; Shunping Huang; Wei Sun; Wei Wang
Journal:  Genetics       Date:  2012-01-31       Impact factor: 4.562

4.  Coordinated phenotype switching with large-scale chromosome flip-flop inversion observed in bacteria.

Authors:  Longzhu Cui; Hui-min Neoh; Akira Iwamoto; Keiichi Hiramatsu
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-29       Impact factor: 11.205

5.  Statistical methods for comparative phenomics using high-throughput phenotype microarrays.

Authors:  Joseph Sturino; Ivan Zorych; Bani Mallick; Karina Pokusaeva; Ying-Ying Chang; Raymond J Carroll; Nikolay Bliznuyk
Journal:  Int J Biostat       Date:  2010-08-24       Impact factor: 0.968

6.  Selective phenotyping for increased efficiency in genetic mapping studies.

Authors:  Chunfang Jin; Hong Lan; Alan D Attie; Gary A Churchill; Dursun Bulutuglo; Brian S Yandell
Journal:  Genetics       Date:  2004-12       Impact factor: 4.562

7.  Growth and multiplexed analysis of microorganisms on a subdivided, highly porous, inorganic chip manufactured from anopore.

Authors:  Colin J Ingham; Maaike van den Ende; Dirk Pijnenburg; Peter C Wever; Peter M Schneeberger
Journal:  Appl Environ Microbiol       Date:  2005-12       Impact factor: 4.792

8.  Cryptococcus neoformans {alpha} strains preferentially disseminate to the central nervous system during coinfection.

Authors:  Kirsten Nielsen; Gary M Cox; Anastasia P Litvintseva; Eleftherios Mylonakis; Stephanie D Malliaris; Daniel K Benjamin; Steven S Giles; Thomas G Mitchell; Arturo Casadevall; John R Perfect; Joseph Heitman
Journal:  Infect Immun       Date:  2005-08       Impact factor: 3.441

9.  The micro-Petri dish, a million-well growth chip for the culture and high-throughput screening of microorganisms.

Authors:  Colin J Ingham; Ad Sprenkels; Johan Bomer; Douwe Molenaar; Albert van den Berg; Johan E T van Hylckama Vlieg; Willem M de Vos
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-07       Impact factor: 11.205

Review 10.  Gene expression profiling and the use of genome-scale in silico models of Escherichia coli for analysis: providing context for content.

Authors:  Nathan E Lewis; Byung-Kwan Cho; Eric M Knight; Bernhard O Palsson
Journal:  J Bacteriol       Date:  2009-04-10       Impact factor: 3.490

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