Literature DB >> 35723214

Advances in stable isotope labeling: dynamic labeling for spatial and temporal proteomic analysis.

Nicole C Beller1, Amanda B Hummon1,2.   

Abstract

The field of proteomics is continually improving, requiring the development of new quantitative methods. Stable isotope labeling in cell culture (SILAC) is a metabolic labeling technique originating in the early 2000s. By incorporating isotopically labeled amino acids into the media used for cell culture, unlabeled versus labeled cells can be differentiated by the mass spectrometer. Traditional SILAC labeling has been expanded to pulsed applications allowing for a new quantitative dimension of proteomics - temporal analysis. The complete introduction of Heavy SILAC labeling chased with surplus unlabeled medium mimics traditional pulse-chase experiments and allows for the loss of heavy signal to track proteomic changes over time. In a similar fashion, pulsed SILAC (pSILAC) monitors the initial incorporation of a heavy label across a period of time, which allows for the rate of protein label integration to be assessed. These innovative techniques have aided in inspiring numerous SILAC-based temporal and spatial labeling applications, including super SILAC, spike-in SILAC, spatial SILAC, and a revival in label multiplexing. This review reflects upon the evolution of SILAC and the pulsed SILAC application, introduces advances in SILAC labeling, and proposes future perspectives for this novel and exciting field.

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Year:  2022        PMID: 35723214      PMCID: PMC9378559          DOI: 10.1039/d2mo00077f

Source DB:  PubMed          Journal:  Mol Omics        ISSN: 2515-4184


  82 in total

1.  Measurement of the synthesis, turnover, and assembly of alpha- and beta-erythroid and nonerythroid spectrins in cultured rat hippocampal neurons.

Authors:  J Sangerman; S R Goodman
Journal:  Brain Res Brain Res Protoc       Date:  2001-02

2.  A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics.

Authors:  Jürgen Cox; Ivan Matic; Maximiliane Hilger; Nagarjuna Nagaraj; Matthias Selbach; Jesper V Olsen; Matthias Mann
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

3.  Spiked-in pulsed in vivo labeling identifies a new member of the CCN family in regenerating newt hearts.

Authors:  Mario Looso; Christian S Michel; Anne Konzer; Marc Bruckskotten; Thilo Borchardt; Marcus Krüger; Thomas Braun
Journal:  J Proteome Res       Date:  2012-08-27       Impact factor: 4.466

4.  Stable isotope labeling of mammals (SILAM) for in vivo quantitative proteomic analysis.

Authors:  Navin Rauniyar; Daniel B McClatchy; John R Yates
Journal:  Methods       Date:  2013-03-20       Impact factor: 3.608

5.  Mass Defect-Based DiLeu Tagging for Multiplexed Data-Independent Acquisition.

Authors:  Xiaofang Zhong; Dustin C Frost; Qinying Yu; Miyang Li; Ting-Jia Gu; Lingjun Li
Journal:  Anal Chem       Date:  2020-07-30       Impact factor: 6.986

6.  DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics.

Authors:  Vivian Tam; Peikai Chen; Anita Yee; Nestor Solis; Theo Klein; Mateusz Kudelko; Rakesh Sharma; Wilson Cw Chan; Christopher M Overall; Lisbet Haglund; Pak C Sham; Kathryn Song Eng Cheah; Danny Chan
Journal:  Elife       Date:  2020-12-31       Impact factor: 8.140

7.  Multitagging proteomic strategy to estimate protein turnover rates in dynamic systems.

Authors:  Karthik P Jayapal; Siguang Sui; Robin J Philp; Yee-Jiun Kok; Miranda G S Yap; Timothy J Griffin; Wei-Shou Hu
Journal:  J Proteome Res       Date:  2010-05-07       Impact factor: 4.466

8.  Spatial Stable Isotopic Labeling by Amino Acids in Cell Culture: Pulse-Chase Labeling of Three-Dimensional Multicellular Spheroids for Global Proteome Analysis.

Authors:  Nicole C Beller; Jessica K Lukowski; Katelyn R Ludwig; Amanda B Hummon
Journal:  Anal Chem       Date:  2021-11-23       Impact factor: 8.008

9.  Metabolic labeling of C. elegans and D. melanogaster for quantitative proteomics.

Authors:  Jeroen Krijgsveld; René F Ketting; Tokameh Mahmoudi; Janik Johansen; Marta Artal-Sanz; C Peter Verrijzer; Ronald H A Plasterk; Albert J R Heck
Journal:  Nat Biotechnol       Date:  2003-07-13       Impact factor: 54.908

10.  Pulse-Chase Proteomics of the App Knockin Mouse Models of Alzheimer's Disease Reveals that Synaptic Dysfunction Originates in Presynaptic Terminals.

Authors:  Timothy J Hark; Nalini R Rao; Charlotte Castillon; Tamara Basta; Samuel Smukowski; Huan Bao; Arun Upadhyay; Ewa Bomba-Warczak; Toshihiro Nomura; Eileen T O'Toole; Garry P Morgan; Laith Ali; Takashi Saito; Christelle Guillermier; Takaomi C Saido; Matthew L Steinhauser; Michael H B Stowell; Edwin R Chapman; Anis Contractor; Jeffrey N Savas
Journal:  Cell Syst       Date:  2020-12-15       Impact factor: 10.304

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