Literature DB >> 16212444

Impact of replicate types on proteomic expression analysis.

Natasha A Karp1, Matthew Spencer, Helen Lindsay, Kevin O'Dell, Kathryn S Lilley.   

Abstract

In expression proteomics, the samples utilized within an experimental design may include technical, biological, or pooled replicates. This manuscript discusses various experimental designs and the conclusions that can be drawn from them. Specifically, it addresses the impact of mixing replicate types on the statistical analysis which can be performed. This study focuses on difference gel electrophoresis (DiGE), but the issues are equally applicable to all quantitative methodologies assessing relative changes in protein expression.

Mesh:

Substances:

Year:  2005        PMID: 16212444     DOI: 10.1021/pr050084g

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  37 in total

1.  Proteomic analysis of muscle between hybrid abalone and parental lines Haliotis gigantea Reeve and Haliotis discus hannai Ino.

Authors:  G Di; X Luo; W You; J Zhao; X Kong; C Ke
Journal:  Heredity (Edinb)       Date:  2015-02-11       Impact factor: 3.821

2.  The dominant cold-sensitive Out-cold mutants of Drosophila melanogaster have novel missense mutations in the voltage-gated sodium channel gene paralytic.

Authors:  Helen A Lindsay; Richard Baines; Richard ffrench-Constant; Kathryn Lilley; Howard T Jacobs; Kevin M C O'Dell
Journal:  Genetics       Date:  2008-08-24       Impact factor: 4.562

3.  Proteomic phenotyping of Novosphingobium nitrogenifigens reveals a robust capacity for simultaneous nitrogen fixation, polyhydroxyalkanoate production, and resistance to reactive oxygen species.

Authors:  Anne-Marie Smit; Timothy J Strabala; Lifeng Peng; Pisana Rawson; Gareth Lloyd-Jones; T William Jordan
Journal:  Appl Environ Microbiol       Date:  2012-05-11       Impact factor: 4.792

Review 4.  Fluorescence two-dimensional difference gel electrophoresis for biomaterial applications.

Authors:  Laura E McNamara; Matthew J Dalby; Mathis O Riehle; Richard Burchmore
Journal:  J R Soc Interface       Date:  2009-07-01       Impact factor: 4.118

5.  Normalization and statistical analysis of quantitative proteomics data generated by metabolic labeling.

Authors:  Lily Ting; Mark J Cowley; Seah Lay Hoon; Michael Guilhaus; Mark J Raftery; Ricardo Cavicchioli
Journal:  Mol Cell Proteomics       Date:  2009-07-14       Impact factor: 5.911

6.  A Primer and Guidelines for Shotgun Proteomic Analysis in Non-model Organisms.

Authors:  Angel P Diz; Paula Sánchez-Marín
Journal:  Methods Mol Biol       Date:  2021

7.  Seasonal protein changes support rapid energy production in hibernator brainstem.

Authors:  L Elaine Epperson; James C Rose; Rae L Russell; Mrinalini P Nikrad; Hannah V Carey; Sandra L Martin
Journal:  J Comp Physiol B       Date:  2009-12-05       Impact factor: 2.200

8.  Novel approaches to detect serum biomarkers for clinical response to interferon-beta treatment in multiple sclerosis.

Authors:  Kaushal S Gandhi; Fiona C McKay; Eve Diefenbach; Ben Crossett; Stephen D Schibeci; Robert N Heard; Graeme J Stewart; David R Booth; Jonathan W Arthur
Journal:  PLoS One       Date:  2010-05-05       Impact factor: 3.240

9.  Inferring predominant pathways in cellular models of breast cancer using limited sample proteomic profiling.

Authors:  Yogesh M Kulkarni; Vivian Suarez; David J Klinke
Journal:  BMC Cancer       Date:  2010-06-15       Impact factor: 4.430

10.  Global screening of human cord blood proteomes for biomarkers of toxic exposure and effect.

Authors:  David R Colquhoun; Lynn R Goldman; Robert N Cole; Marjan Gucek; Malini Mansharamani; Frank R Witter; Benjamin J Apelberg; Rolf U Halden
Journal:  Environ Health Perspect       Date:  2008-12-02       Impact factor: 9.031

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.