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.
Original language | English (US) |
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Pages (from-to) | 2048-2058 |
Number of pages | 11 |
Journal | Proteomics |
Volume | 16 |
Issue number | 14 |
DOIs | |
State | Published - Jul 1 2016 |
Funding
This work was supported by the National Institutes of Health P41 GM108569, R01 GM067193 to NLK, P01 AI112522 to NLK and MMA, T32GM105538 to TKT and U19 A1063603 to DRS. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Institutes of Health, the National Resource for Translational and Developmental Proteomics, or Northwestern University. Computational resources at Indiana University were used for statistical analysis.
Keywords
- Biomarker
- Biomedicine
- Mass spectrometry
- Proteoform
- Transplant
ASJC Scopus subject areas
- Molecular Biology
- Biochemistry