Literature DB >> 25829300

Selective Proteomic Proximity Labeling Assay Using Tyramide (SPPLAT): A Quantitative Method for the Proteomic Analysis of Localized Membrane-Bound Protein Clusters.

Johanna Susan Rees1,2, Xue-Wen Li3, Sarah Perrett3, Kathryn Susan Lilley2, Antony Philip Jackson1.   

Abstract

This manuscript describes a new and general method to identify proteins localized into spatially restricted membrane microenvironments. Horseradish peroxidase (HRP) is brought into contact with a target protein by being covalently linked to a primary or secondary antibody, an antigen or substrate, a drug, or a toxin. A biotinylated tyramide-based reagent is then added. In the presence of HRP and hydrogen peroxide, the reagent is converted into a free radical that only diffuses a short distance before covalently labeling proteins within a few tens to hundreds of nanometers from the target. The biotinylated proteins can then be isolated by standard affinity chromatography and identified by liquid chromatography (LC) and mass spectrometry (MS). The assay can be made quantitative by using stable isotope labeling with amino acids in cell culture (SILAC) or isobaric tagging at the peptide level.
Copyright © 2015 John Wiley & Sons, Inc.

Entities:  

Keywords:  SPPLAT; protein microenvironments; proteomics; proximity; quantitative

Mesh:

Substances:

Year:  2015        PMID: 25829300     DOI: 10.1002/0471140864.ps1927s80

Source DB:  PubMed          Journal:  Curr Protoc Protein Sci        ISSN: 1934-3655


  18 in total

Review 1.  Proximity-dependent labeling methods for proteomic profiling in living cells.

Authors:  Chiao-Lin Chen; Norbert Perrimon
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2017-04-07       Impact factor: 5.814

2.  Radius measurement via super-resolution microscopy enables the development of a variable radii proximity labeling platform.

Authors:  James V Oakley; Benito F Buksh; David F Fernández; Daniel G Oblinsky; Ciaran P Seath; Jacob B Geri; Gregory D Scholes; David W C MacMillan
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-01       Impact factor: 12.779

Review 3.  Filling the Void: Proximity-Based Labeling of Proteins in Living Cells.

Authors:  Dae In Kim; Kyle J Roux
Journal:  Trends Cell Biol       Date:  2016-09-22       Impact factor: 20.808

4.  Proteomic Analysis of Unbounded Cellular Compartments: Synaptic Clefts.

Authors:  Ken H Loh; Philipp S Stawski; Austin S Draycott; Namrata D Udeshi; Emily K Lehrman; Daniel K Wilton; Tanya Svinkina; Thomas J Deerinck; Mark H Ellisman; Beth Stevens; Steven A Carr; Alice Y Ting
Journal:  Cell       Date:  2016-08-25       Impact factor: 41.582

Review 5.  Proximity-dependent labeling methods for proteomic profiling in living cells: An update.

Authors:  Justin A Bosch; Chiao-Lin Chen; Norbert Perrimon
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2020-09-10       Impact factor: 5.814

6.  Thiol-Cleavable Biotin for Chemical and Enzymatic Biotinylation and Its Application to Mitochondrial TurboID Proteomics.

Authors:  Haorong Li; Ashley M Frankenfield; Ryan Houston; Shiori Sekine; Ling Hao
Journal:  J Am Soc Mass Spectrom       Date:  2021-04-28       Impact factor: 3.109

Review 7.  Detecting Cardiovascular Protein-Protein Interactions by Proximity Proteomics.

Authors:  Jared S Kushner; Guoxia Liu; Robyn J Eisert; Gary A Bradshaw; Geoffrey S Pitt; J Travis Hinson; Marian Kalocsay; Steven O Marx
Journal:  Circ Res       Date:  2022-01-20       Impact factor: 17.367

Review 8.  Protein Neighbors and Proximity Proteomics.

Authors:  Johanna S Rees; Xue-Wen Li; Sarah Perrett; Kathryn S Lilley; Antony P Jackson
Journal:  Mol Cell Proteomics       Date:  2015-09-08       Impact factor: 5.911

9.  Microenvironment mapping via Dexter energy transfer on immune cells.

Authors:  Jacob B Geri; James V Oakley; Tamara Reyes-Robles; Tao Wang; Stefan J McCarver; Cory H White; Frances P Rodriguez-Rivera; Dann L Parker; Erik C Hett; Olugbeminiyi O Fadeyi; Rob C Oslund; David W C MacMillan
Journal:  Science       Date:  2020-03-06       Impact factor: 47.728

10.  CIRFESS: An Interactive Resource for Querying the Set of Theoretically Detectable Peptides for Cell Surface and Extracellular Enrichment Proteomic Studies.

Authors:  Matthew Waas; Jack Littrell; Rebekah L Gundry
Journal:  J Am Soc Mass Spectrom       Date:  2020-04-02       Impact factor: 3.262

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