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Assessment of a complete and classified platelet proteome from genome-wide transcripts of human platelets and megakaryocytes covering platelet functions.
Huang, Jingnan; Swieringa, Frauke; Solari, Fiorella A; Provenzale, Isabella; Grassi, Luigi; De Simone, Ilaria; Baaten, Constance C F M J; Cavill, Rachel; Sickmann, Albert; Frontini, Mattia; Heemskerk, Johan W M.
Afiliación
  • Huang J; Department of Biochemistry, CARIM, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands. j.huang@maastrichtuniversity.nl.
  • Swieringa F; Leibniz-Institut Für Analytische Wissenschaften-ISAS-E.V, Dortmund, Germany. j.huang@maastrichtuniversity.nl.
  • Solari FA; Department of Biochemistry, CARIM, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
  • Provenzale I; Leibniz-Institut Für Analytische Wissenschaften-ISAS-E.V, Dortmund, Germany.
  • Grassi L; Leibniz-Institut Für Analytische Wissenschaften-ISAS-E.V, Dortmund, Germany.
  • De Simone I; Department of Biochemistry, CARIM, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
  • Baaten CCFMJ; Department of Haematology, University of Cambridge, National Health Service Blood and Transplant (NHSBT), Cambridge Biomedical Campus, Cambridge, UK.
  • Cavill R; Department of Biochemistry, CARIM, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
  • Sickmann A; Department of Biochemistry, CARIM, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
  • Frontini M; Institute for Molecular Cardiovascular Research (IMCAR), University Hospital RWTH, Aachen, Germany.
  • Heemskerk JWM; Department of Data Science and Knowledge Engineering, FSE, Maastricht University, Maastricht, The Netherlands.
Sci Rep ; 11(1): 12358, 2021 06 11.
Article en En | MEDLINE | ID: mdl-34117303
ABSTRACT
Novel platelet and megakaryocyte transcriptome analysis allows prediction of the full or theoretical proteome of a representative human platelet. Here, we integrated the established platelet proteomes from six cohorts of healthy subjects, encompassing 5.2 k proteins, with two novel genome-wide transcriptomes (57.8 k mRNAs). For 14.8 k protein-coding transcripts, we assigned the proteins to 21 UniProt-based classes, based on their preferential intracellular localization and presumed function. This classified transcriptome-proteome profile of platelets revealed (i) Absence of 37.2 k genome-wide transcripts. (ii) High quantitative similarity of platelet and megakaryocyte transcriptomes (R = 0.75) for 14.8 k protein-coding genes, but not for 3.8 k RNA genes or 1.9 k pseudogenes (R = 0.43-0.54), suggesting redistribution of mRNAs upon platelet shedding from megakaryocytes. (iii) Copy numbers of 3.5 k proteins that were restricted in size by the corresponding transcript levels (iv) Near complete coverage of identified proteins in the relevant transcriptome (log2fpkm > 0.20) except for plasma-derived secretory proteins, pointing to adhesion and uptake of such proteins. (v) Underrepresentation in the identified proteome of nuclear-related, membrane and signaling proteins, as well proteins with low-level transcripts. We then constructed a prediction model, based on protein function, transcript level and (peri)nuclear localization, and calculated the achievable proteome at ~ 10 k proteins. Model validation identified 1.0 k additional proteins in the predicted classes. Network and database analysis revealed the presence of 2.4 k proteins with a possible role in thrombosis and hemostasis, and 138 proteins linked to platelet-related disorders. This genome-wide platelet transcriptome and (non)identified proteome database thus provides a scaffold for discovering the roles of unknown platelet proteins in health and disease.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plaquetas / Megacariocitos / Proteoma / Transcriptoma / Enfermedades Hematológicas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Plaquetas / Megacariocitos / Proteoma / Transcriptoma / Enfermedades Hematológicas Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Sci Rep Año: 2021 Tipo del documento: Article País de afiliación: Países Bajos