Literature DB >> 19953549

Peptide and protein quantification: a map of the minefield.

Marc Vaudel1, Albert Sickmann, Lennart Martens.   

Abstract

The increasing popularity of gel-free proteomics technologies has created a strong demand for compatible quantitative analysis methods. As a result, a plethora of different techniques has been proposed to perform gel-free quantitative analysis of proteomics samples. Each of these methods comes with certain strengths and shortcomings, and they often are dedicated to a specific purpose. This review will present a brief overview of the main methods, organized by their underlying concepts, and will discuss the issues they raise with a focus on data processing. Finally, we will list the available software that can help with the data processing from quantitative experiments. We hope that this review will thus enable researchers to find the most appropriate method available for their research objectives, and can also serve as a basis for creating a reliable data processing strategy.

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Year:  2010        PMID: 19953549     DOI: 10.1002/pmic.200900481

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  20 in total

1.  Label-free quantification and shotgun analysis of complex proteomes by one-dimensional SDS-PAGE/NanoLC-MS: evaluation for the large scale analysis of inflammatory human endothelial cells.

Authors:  Violette Gautier; Emmanuelle Mouton-Barbosa; David Bouyssié; Nicolas Delcourt; Mathilde Beau; Jean-Philippe Girard; Corinne Cayrol; Odile Burlet-Schiltz; Bernard Monsarrat; Anne Gonzalez de Peredo
Journal:  Mol Cell Proteomics       Date:  2012-04-19       Impact factor: 5.911

Review 2.  Proteomic analysis of stem cell differentiation and early development.

Authors:  Dennis van Hoof; Jeroen Krijgsveld; Christine Mummery
Journal:  Cold Spring Harb Perspect Biol       Date:  2012-03-01       Impact factor: 10.005

Review 3.  Analyzing the cryptome: uncovering secret sequences.

Authors:  Parimal Samir; Andrew J Link
Journal:  AAPS J       Date:  2011-02-16       Impact factor: 4.009

4.  moFF: a robust and automated approach to extract peptide ion intensities.

Authors:  Andrea Argentini; Ludger J E Goeminne; Kenneth Verheggen; Niels Hulstaert; An Staes; Lieven Clement; Lennart Martens
Journal:  Nat Methods       Date:  2016-11-29       Impact factor: 28.547

5.  The effect of peptide identification search algorithms on MS2-based label-free protein quantification.

Authors:  Sven Degroeve; An Staes; Pieter-Jan De Bock; Lennart Martens
Journal:  OMICS       Date:  2012-07-17

Review 6.  Algorithms and design strategies towards automated glycoproteomics analysis.

Authors:  Han Hu; Kshitij Khatri; Joseph Zaia
Journal:  Mass Spectrom Rev       Date:  2016-01-04       Impact factor: 10.946

7.  Interaction of the tobacco lectin with histone proteins.

Authors:  Dieter Schouppe; Bart Ghesquière; Gerben Menschaert; Winnok H De Vos; Stéphane Bourque; Geert Trooskens; Paul Proost; Kris Gevaert; Els J M Van Damme
Journal:  Plant Physiol       Date:  2011-01-11       Impact factor: 8.340

8.  Combining quantitative proteomics data processing workflows for greater sensitivity.

Authors:  Niklaas Colaert; Christophe Van Huele; Sven Degroeve; An Staes; Joël Vandekerckhove; Kris Gevaert; Lennart Martens
Journal:  Nat Methods       Date:  2011-05-08       Impact factor: 28.547

Review 9.  Proteomics data repositories: providing a safe haven for your data and acting as a springboard for further research.

Authors:  Juan Antonio Vizcaíno; Joseph M Foster; Lennart Martens
Journal:  J Proteomics       Date:  2010-07-06       Impact factor: 4.044

10.  Dynamic proteome profiling of human pluripotent stem cell-derived pancreatic progenitors.

Authors:  Larry Sai Weng Loo; Heidrun Vethe; Andreas Alvin Purnomo Soetedjo; Joao A Paulo; Joanita Jasmen; Nicholas Jackson; Yngvild Bjørlykke; Ivan A Valdez; Marc Vaudel; Harald Barsnes; Steven P Gygi; Helge Raeder; Adrian Kee Keong Teo; Rohit N Kulkarni
Journal:  Stem Cells       Date:  2020-01-22       Impact factor: 6.277

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