Literature DB >> 15095355

Femtomol sensitivity post-digest (18)O labeling for relative quantification of differential protein complex composition.

Marcus Bantscheff1, Birgit Dümpelfeld, Bernhard Kuster.   

Abstract

Stable isotope labeling (SIL) has emerged as a powerful tool to measure the relative quantitative differences between samples in many differential display-type proteomic applications. However, current SIL procedures tend to suffer from the fact that one needs to decide very early in a biochemical strategy whether or not a sample will be subjected to relative quantification. Typically, the entire strategy has to be adapted to the needs of the particular quantification method chosen which might limit the range of biochemical experiments amenable to quantification. Metabolic labeling approaches, albeit very sensitive, can only be applied to studies using appropriate cell culture systems which might not necessarily be compatible with the biological system under investigation. Chemical labeling of complex protein mixtures by, e.g., isotope-coded affinity tags (ICAT), can offer great simplification of protein mixtures but is restricted by the accessibility of the often few suitable peptides (i.e. cysteine containing peptides) for both protein identification and quantification. Here, we describe a post-digest (18)O-labeling method that can circumvent some of the above limitations by separating protein identification from quantification. An aliquot of all samples in a set can be used for rapid protein ID using, e.g., matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOFMS). In a second step, relative quantification is performed using trypsin-catalyzed (18)O incorporation into all tryptic peptides. This two-stage procedure introduces significant experimental flexibility because it enables postponement of the decision about which pairs of samples from a given set of experiments are to be compared until after the protein ID stage. In-gel digested protein quantities between 50 fmol and 15 pmol are amenable to this new method, with a dynamic range of 1:10 within one sample. Accuracy for measured relative abundances is similar to those reported for other SIL strategies (errors typically <20%), and the method is applicable to protein samples from all kinds of tissue or cell culture. This paper presents quantification data for a set of standard proteins, as well as a study of differential complex formation around the NFkappaB transcription factor p65 following stimulation with TNF-alpha. Copyright 2004 John Wiley & Sons, Ltd.

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Year:  2004        PMID: 15095355     DOI: 10.1002/rcm.1418

Source DB:  PubMed          Journal:  Rapid Commun Mass Spectrom        ISSN: 0951-4198            Impact factor:   2.419


  14 in total

1.  A robust method for quantitative high-throughput analysis of proteomes by 18O labeling.

Authors:  Elena Bonzon-Kulichenko; Daniel Pérez-Hernández; Estefanía Núñez; Pablo Martínez-Acedo; Pedro Navarro; Marco Trevisan-Herraz; María del Carmen Ramos; Saleta Sierra; Sara Martínez-Martínez; Marisol Ruiz-Meana; Elizabeth Miró-Casas; David García-Dorado; Juan Miguel Redondo; Javier S Burgos; Jesús Vázquez
Journal:  Mol Cell Proteomics       Date:  2010-08-31       Impact factor: 5.911

2.  ZoomQuant: an application for the quantitation of stable isotope labeled peptides.

Authors:  Brian D Halligan; Ronit Y Slyper; Simon N Twigger; Wayne Hicks; Michael Olivier; Andrew S Greene
Journal:  J Am Soc Mass Spectrom       Date:  2005-01-13       Impact factor: 3.109

3.  Simultaneous quantification and identification using 18O labeling with an ion trap mass spectrometer and the analysis software application "ZoomQuant".

Authors:  Wayne A Hicks; Brian D Halligan; Ronit Y Slyper; Simon N Twigger; Andrew S Greene; Michael Olivier
Journal:  J Am Soc Mass Spectrom       Date:  2005-04-15       Impact factor: 3.109

Review 4.  18O stable isotope labeling in MS-based proteomics.

Authors:  Xiaoying Ye; Brian Luke; Thorkell Andresson; Josip Blonder
Journal:  Brief Funct Genomic Proteomic       Date:  2009-01-16

Review 5.  Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases.

Authors:  Eugene M Cilento; Lorrain Jin; Tessandra Stewart; Min Shi; Lifu Sheng; Jing Zhang
Journal:  J Neurochem       Date:  2019-01-31       Impact factor: 5.372

6.  O Labeling for a Quantitative Proteomic Analysis of Glycoproteins in Hepatocellular Carcinoma.

Authors:  Raghothama Chaerkady; Paul J Thuluvath; Min-Sik Kim; Anuradha Nalli; Perumal Vivekanandan; Jessica Simmers; Michael Torbenson; Akhilesh Pandey
Journal:  Clin Proteomics       Date:  2008-07-18       Impact factor: 3.988

7.  Quantitative analysis of glycation patterns in human serum albumin using 16O/18O-labeling and MALDI-TOF MS.

Authors:  Omar S Barnaby; Ronald L Cerny; William Clarke; David S Hage
Journal:  Clin Chim Acta       Date:  2011-05-13       Impact factor: 3.786

8.  Enhanced interferon signaling pathway in oral cancer revealed by quantitative proteome analysis of microdissected specimens using 16O/18O labeling and integrated two-dimensional LC-ESI-MALDI tandem MS.

Authors:  Lang-Ming Chi; Chien-Wei Lee; Kai-Ping Chang; Sheng-Po Hao; Hang-Mao Lee; Ying Liang; Chuen Hsueh; Chia-Jung Yu; I-Neng Lee; Yin-Ju Chang; Shih-Ying Lee; Yuan-Ming Yeh; Yu-Sun Chang; Kun-Yi Chien; Jau-Song Yu
Journal:  Mol Cell Proteomics       Date:  2009-03-18       Impact factor: 5.911

Review 9.  Cancer proteomics by quantitative shotgun proteomics.

Authors:  Emily I Chen; John R Yates
Journal:  Mol Oncol       Date:  2007-09       Impact factor: 6.603

10.  Discovery of undefined protein cross-linking chemistry: a comprehensive methodology utilizing 18O-labeling and mass spectrometry.

Authors:  Min Liu; Zhongqi Zhang; Tianzhu Zang; Chris Spahr; Janet Cheetham; Da Ren; Zhaohui Sunny Zhou
Journal:  Anal Chem       Date:  2013-05-28       Impact factor: 6.986

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