Literature DB >> 27120713

Comparative top down proteomics of peripheral blood mononuclear cells from kidney transplant recipients with normal kidney biopsies or acute rejection.

John P Savaryn1,2, Timothy K Toby3, Adam D Catherman4, Ryan T Fellers1, Richard D LeDuc1, Paul M Thomas1,3, John J Friedewald2, Daniel R Salomon5,6, Michael M Abecassis2, Neil L Kelleher1,3,4.   

Abstract

Recent studies utilizing transcriptomics, metabolomics, and bottom up proteomics have identified molecular signatures of kidney allograft pathology. Although these results make significant progress toward non-invasive differential diagnostics of dysfunction of a transplanted kidney, they provide little information on the intact, often modified, protein molecules present during progression of this pathology. Because intact proteins underpin diverse biological processes, measuring the relative abundance of their modified forms promises to advance mechanistic understanding, and might provide a new class of biomarker candidates. Here, we used top down proteomics to inventory the modified forms of whole proteins in peripheral blood mononuclear cells (PBMCs) taken at the time of kidney biopsy for 40 kidney allograft recipients either with healthy transplants or those suffering acute rejection. Supported by gas-phase fragmentation of whole protein ions during tandem mass spectrometry, we identified 344 proteins mapping to 2905 distinct molecular forms (proteoforms). Using an initial implementation of a label-free approach to quantitative top down proteomics, we obtained evidence suggesting relative abundance changes in 111 proteoforms between the two patient groups. Collectively, our work is the first to catalog intact protein molecules in PBMCs and suggests differentially abundant proteoforms for further analysis.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Biomarker; Biomedicine; Mass spectrometry; Proteoform; Transplant

Mesh:

Substances:

Year:  2016        PMID: 27120713      PMCID: PMC4956503          DOI: 10.1002/pmic.201600008

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  28 in total

1.  Using ProSight PTM and related tools for targeted protein identification and characterization with high mass accuracy tandem MS data.

Authors:  Richard D Leduc; Neil L Kelleher
Journal:  Curr Protoc Bioinformatics       Date:  2007-09

2.  Compound heterozygotes and beta-thalassemia: top-down mass spectrometry for detection of hemoglobinopathies.

Authors:  Rebecca L Edwards; Paul Griffiths; Josephine Bunch; Helen J Cooper
Journal:  Proteomics       Date:  2014-03-07       Impact factor: 3.984

3.  mMass 3: a cross-platform software environment for precise analysis of mass spectrometric data.

Authors:  Martin Strohalm; Daniel Kavan; Petr Novák; Michael Volný; Vladimír Havlícek
Journal:  Anal Chem       Date:  2010-06-01       Impact factor: 6.986

Review 4.  Top Down proteomics: facts and perspectives.

Authors:  Adam D Catherman; Owen S Skinner; Neil L Kelleher
Journal:  Biochem Biophys Res Commun       Date:  2014-02-17       Impact factor: 3.575

5.  Acute rejection and late renal transplant failure: risk factors and prognosis.

Authors:  Luis M Pallardó Mateu; Asunción Sancho Calabuig; Lluis Capdevila Plaza; Antonio Franco Esteve
Journal:  Nephrol Dial Transplant       Date:  2004-06       Impact factor: 5.992

6.  Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling.

Authors:  Minnie Sarwal; Mei-Sze Chua; Neeraja Kambham; Szu-Chuan Hsieh; Thomas Satterwhite; Marilyn Masek; Oscar Salvatierra
Journal:  N Engl J Med       Date:  2003-07-10       Impact factor: 91.245

7.  The C-score: a Bayesian framework to sharply improve proteoform scoring in high-throughput top down proteomics.

Authors:  Richard D LeDuc; Ryan T Fellers; Bryan P Early; Joseph B Greer; Paul M Thomas; Neil L Kelleher
Journal:  J Proteome Res       Date:  2014-06-12       Impact factor: 4.466

8.  Quantitative measurement of intact alpha-synuclein proteoforms from post-mortem control and Parkinson's disease brain tissue by intact protein mass spectrometry.

Authors:  John F Kellie; Richard E Higgs; John W Ryder; Anthony Major; Thomas G Beach; Charles H Adler; Kalpana Merchant; Michael D Knierman
Journal:  Sci Rep       Date:  2014-07-23       Impact factor: 4.379

9.  Integrated Bottom-Up and Top-Down Proteomics of Patient-Derived Breast Tumor Xenografts.

Authors:  Ioanna Ntai; Richard D LeDuc; Ryan T Fellers; Petra Erdmann-Gilmore; Sherri R Davies; Jeanne Rumsey; Bryan P Early; Paul M Thomas; Shunqiang Li; Philip D Compton; Matthew J C Ellis; Kelly V Ruggles; David Fenyö; Emily S Boja; Henry Rodriguez; R Reid Townsend; Neil L Kelleher
Journal:  Mol Cell Proteomics       Date:  2015-10-26       Impact factor: 5.911

10.  Characterization of salivary proteins of schizophrenic and bipolar disorder patients by top-down proteomics.

Authors:  Federica Iavarone; Marianna Melis; Giovanna Platania; Tiziana Cabras; Barbara Manconi; Raffaele Petruzzelli; Massimo Cordaro; Alberto Siracusano; Gavino Faa; Irene Messana; Marco Zanasi; Massimo Castagnola
Journal:  J Proteomics       Date:  2014-03-30       Impact factor: 4.044

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  10 in total

1.  A comprehensive pipeline for translational top-down proteomics from a single blood draw.

Authors:  Timothy K Toby; Luca Fornelli; Kristina Srzentić; Caroline J DeHart; Josh Levitsky; John Friedewald; Neil L Kelleher
Journal:  Nat Protoc       Date:  2019-01       Impact factor: 13.491

2.  Evaluation of Spectral Counting for Relative Quantitation of Proteoforms in Top-Down Proteomics.

Authors:  Lucía Geis-Asteggiante; Suzanne Ostrand-Rosenberg; Catherine Fenselau; Nathan J Edwards
Journal:  Anal Chem       Date:  2016-10-31       Impact factor: 6.986

3.  Identification and Characterization of Human Proteoforms by Top-Down LC-21 Tesla FT-ICR Mass Spectrometry.

Authors:  Lissa C Anderson; Caroline J DeHart; Nathan K Kaiser; Ryan T Fellers; Donald F Smith; Joseph B Greer; Richard D LeDuc; Greg T Blakney; Paul M Thomas; Neil L Kelleher; Christopher L Hendrickson
Journal:  J Proteome Res       Date:  2016-12-12       Impact factor: 4.466

4.  Proteoforms in Peripheral Blood Mononuclear Cells as Novel Rejection Biomarkers in Liver Transplant Recipients.

Authors:  T K Toby; M Abecassis; K Kim; P M Thomas; R T Fellers; R D LeDuc; N L Kelleher; J Demetris; J Levitsky
Journal:  Am J Transplant       Date:  2017-06-27       Impact factor: 8.086

Review 5.  Top-Down Proteomics: Ready for Prime Time?

Authors:  Bifan Chen; Kyle A Brown; Ziqing Lin; Ying Ge
Journal:  Anal Chem       Date:  2017-12-15       Impact factor: 6.986

6.  Top-Down Proteomics Enables Comparative Analysis of Brain Proteoforms Between Mouse Strains.

Authors:  Roderick G Davis; Hae-Min Park; Kyunggon Kim; Joseph B Greer; Ryan T Fellers; Richard D LeDuc; Elena V Romanova; Stanislav S Rubakhin; Jonathan A Zombeck; Cong Wu; Peter M Yau; Peng Gao; Alexandra J van Nispen; Steven M Patrie; Paul M Thomas; Jonathan V Sweedler; Justin S Rhodes; Neil L Kelleher
Journal:  Anal Chem       Date:  2018-02-26       Impact factor: 6.986

7.  Intact Protein Analysis at 21 Tesla and X-Ray Crystallography Define Structural Differences in Single Amino Acid Variants of Human Mitochondrial Branched-Chain Amino Acid Aminotransferase 2 (BCAT2).

Authors:  Lissa C Anderson; Maria Håkansson; Björn Walse; Carol L Nilsson
Journal:  J Am Soc Mass Spectrom       Date:  2017-07-05       Impact factor: 3.109

Review 8.  Immunoaffinity Capillary Electrophoresis in the Era of Proteoforms, Liquid Biopsy and Preventive Medicine: A Potential Impact in the Diagnosis and Monitoring of Disease Progression.

Authors:  Norberto A Guzman; Daniel E Guzman
Journal:  Biomolecules       Date:  2021-10-01

Review 9.  Proteomics for Biomarker Discovery for Diagnosis and Prognosis of Kidney Transplantation Rejection.

Authors:  Luís M Ramalhete; Rúben Araújo; Aníbal Ferreira; Cecília R C Calado
Journal:  Proteomes       Date:  2022-07-02

Review 10.  Perspectives on Systems Modeling of Human Peripheral Blood Mononuclear Cells.

Authors:  Partho Sen; Esko Kemppainen; Matej Orešič
Journal:  Front Mol Biosci       Date:  2018-01-09
  10 in total

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