Literature DB >> 18271523

Absolute SILAC for accurate quantitation of proteins in complex mixtures down to the attomole level.

Stefan Hanke1, Hüseyin Besir, Dieter Oesterhelt, Matthias Mann.   

Abstract

Mass spectrometry based proteomics can routinely identify hundreds of proteins in a single LC-MS run, and methods have been developed for relative quantitation between differentially treated samples using stable isotopes. However, absolute quantitation has so far required addition of a labeled standard late in the experimental workflow, introducing variability due to sample preparation. Here we present a new variant of the stable isotope labeling by amino acids in cell culture (SILAC) technique termed "Absolute SILAC" that allows accurate quantitation of selected proteins in complex mixtures. SILAC-labeled recombinant proteins produced in vivo or in vitro are used as internal standards, which are directly mixed into lysates of cells or tissues. This minimizes differences in sample processing between the isotope-labeled standard and its endogenous counterpart. We show that it is possible to quantify over several orders of magnitude, even in the background of a whole cell lysate. We furthermore devise a strategy to quantify peptides at or below their signal-to-noise level on hybrid ion trap instruments, shown here for the LTQ-Orbitrap. The data system triggers on peptides of the SILAC-labeled protein, initiating ion collection in a narrow mass range including the endogenous and labeled peptide. This strategy extends the regular detection limit of an LTQ-Orbitrap by at least an order of magnitude and accurately quantifies down to 150 attomole of protein in a cell lysate without any fractionation prior to LC-MS. We use Absolute SILAC to determine the copy number per cell of growth factor receptor-bound protein 2 (Grb2) in HeLa, HepG2, and C2C12 cells to 5.5 x 10(5), 8.8 x 10(5), and 5.7 x 10(5), respectively, in the exponential growth phase.

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Year:  2008        PMID: 18271523     DOI: 10.1021/pr7007175

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


  58 in total

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Journal:  Proteomics       Date:  2011-12-12       Impact factor: 3.984

2.  Analyzing the homeostasis of signaling proteins by a combination of Western blot and fluorescence correlation spectroscopy.

Authors:  Yi-Da Chung; Michael D Sinzinger; Petra Bovee-Geurts; Marina Krause; Sip Dinkla; Irma Joosten; Werner J Koopman; Merel J W Adjobo-Hermans; Roland Brock
Journal:  Biophys J       Date:  2011-12-07       Impact factor: 4.033

3.  Isobaric labeling and data normalization without requiring protein quantitation.

Authors:  Phillip D Kim; Bhavinkumar B Patel; Anthony T Yeung
Journal:  J Biomol Tech       Date:  2012-04

Review 4.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

Review 5.  A Biologist's Field Guide to Multiplexed Quantitative Proteomics.

Authors:  Corey E Bakalarski; Donald S Kirkpatrick
Journal:  Mol Cell Proteomics       Date:  2016-02-12       Impact factor: 5.911

6.  Absolute quantification of phosphorylation on the kinase activation loop of cellular focal adhesion kinase by stable isotope dilution liquid chromatography/mass spectrometry.

Authors:  Eugene Ciccimaro; Steven K Hanks; Kenneth H Yu; Ian A Blair
Journal:  Anal Chem       Date:  2009-05-01       Impact factor: 6.986

7.  Time series proteome profiling to study endoplasmic reticulum stress response.

Authors:  Michelle Mintz; Adeline Vanderver; Kristy J Brown; Joseph Lin; Zuyi Wang; Christine Kaneski; Raphael Schiffmann; Kanneboyina Nagaraju; Eric P Hoffman; Yetrib Hathout
Journal:  J Proteome Res       Date:  2008-04-25       Impact factor: 4.466

8.  Use of stable isotope labeling by amino acids in cell culture as a spike-in standard in quantitative proteomics.

Authors:  Tamar Geiger; Jacek R Wisniewski; Juergen Cox; Sara Zanivan; Marcus Kruger; Yasushi Ishihama; Matthias Mann
Journal:  Nat Protoc       Date:  2011-02       Impact factor: 13.491

9.  Targeted data acquisition for improved reproducibility and robustness of proteomic mass spectrometry assays.

Authors:  Mikhail M Savitski; Frank Fischer; Toby Mathieson; Gavain Sweetman; Manja Lang; Marcus Bantscheff
Journal:  J Am Soc Mass Spectrom       Date:  2010-01-25       Impact factor: 3.109

10.  Shotgun proteomics in neuroscience.

Authors:  Lujian Liao; Daniel B McClatchy; John R Yates
Journal:  Neuron       Date:  2009-07-16       Impact factor: 17.173

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