Literature DB >> 31094526

Screening a Resource of Recombinant Protein Fragments for Targeted Proteomics.

Fredrik Edfors1, Björn Forsström1, Helian Vunk1, David Kotol1, Claudia Fredolini2, Gianluca Maddalo1, Anne-Sophie Svensson3, Tove Boström3,4, Hanna Tegel3, Peter Nilsson2, Jochen M Schwenk2, Mathias Uhlen1,3,5,6.   

Abstract

The availability of proteomics resources hosting protein and peptide standards, as well as the data describing their analytical performances, will continue to enhance our current capabilities to develop targeted proteomics methods for quantitative biology. This study describes the analysis of a resource of 26,840 individually purified recombinant protein fragments corresponding to more than 16,000 human protein-coding genes. The resource was screened to identify proteotypic peptides suitable for targeted proteomics efforts, and we report LC-MS/MS assay coordinates for more than 25,000 proteotypic peptides, corresponding to more than 10,000 unique proteins. Additionally, peptide formation and digestion kinetics were, for a subset of the standards, monitored using a time-course protocol involving parallel digestion of isotope-labeled recombinant protein standards and endogenous human plasma proteins. We show that the strategy by adding isotope-labeled recombinant proteins before trypsin digestion enables short digestion protocols (≤60 min) with robust quantitative precision. In a proof-of-concept study, we quantified 23 proteins in human plasma using assay parameters defined in our study and used the standards to describe distinct clusters of individuals linked to different levels of LPA, APOE, SERPINA5, and TFRC. In summary, we describe the use and utility of a resource of recombinant proteins to identify proteotypic peptides useful for targeted proteomics assay development.

Entities:  

Keywords:  assay generation; mass spectrometry; peptide formation; protein fragment; protein quantification; recombinant proteins; spectral library; stable isotope standards; targeted proteomics; trypsin digestion

Year:  2019        PMID: 31094526     DOI: 10.1021/acs.jproteome.8b00924

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


  6 in total

1.  Detailed Method for Performing the ExSTA Approach in Quantitative Bottom-Up Plasma Proteomics.

Authors:  Andrew J Percy; Christoph H Borchers
Journal:  Methods Mol Biol       Date:  2021

2.  Mass Spectrometry-Based Plasma Proteomics: Considerations from Sample Collection to Achieving Translational Data.

Authors:  Vera Ignjatovic; Philipp E Geyer; Krishnan K Palaniappan; Jessica E Chaaban; Gilbert S Omenn; Mark S Baker; Eric W Deutsch; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2019-10-11       Impact factor: 4.466

3.  Facets of individual-specific health signatures determined from longitudinal plasma proteome profiling.

Authors:  Tea Dodig-Crnković; Mun-Gwan Hong; Cecilia Engel Thomas; Ragna S Häussler; Annika Bendes; Matilda Dale; Fredrik Edfors; Björn Forsström; Patrik K E Magnusson; Ina Schuppe-Koistinen; Jacob Odeberg; Linn Fagerberg; Anders Gummesson; Göran Bergström; Mathias Uhlén; Jochen M Schwenk
Journal:  EBioMedicine       Date:  2020-07-03       Impact factor: 8.143

4.  Absolute Quantification of Apolipoproteins Following Treatment with Omega-3 Carboxylic Acids and Fenofibrate Using a High Precision Stable Isotope-labeled Recombinant Protein Fragments Based SRM Assay.

Authors:  Andreas Hober; Fredrik Edfors; Maria Ryaboshapkina; Jonas Malmqvist; Louise Rosengren; Andrew J Percy; Lars Lind; Björn Forsström; Mathias Uhlén; Jan Oscarsson; Tasso Miliotis
Journal:  Mol Cell Proteomics       Date:  2019-10-07       Impact factor: 5.911

5.  Identification of Rf9, a Gene Contributing to the Genetic Complexity of Fertility Restoration in Hybrid Wheat.

Authors:  Fahimeh Shahinnia; Manuel Geyer; Annette Block; Volker Mohler; Lorenz Hartl
Journal:  Front Plant Sci       Date:  2020-12-10       Impact factor: 5.753

6.  Enhanced protein isoform characterization through long-read proteogenomics.

Authors:  Rachel M Miller; Ben T Jordan; Madison M Mehlferber; Erin D Jeffery; Christina Chatzipantsiou; Simi Kaur; Robert J Millikin; Yunxiang Dai; Simone Tiberi; Peter J Castaldi; Michael R Shortreed; Chance John Luckey; Ana Conesa; Lloyd M Smith; Anne Deslattes Mays; Gloria M Sheynkman
Journal:  Genome Biol       Date:  2022-03-03       Impact factor: 13.583

  6 in total

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