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Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery.
Havugimana, Pierre C; Goel, Raghuveera Kumar; Phanse, Sadhna; Youssef, Ahmed; Padhorny, Dzmitry; Kotelnikov, Sergei; Kozakov, Dima; Emili, Andrew.
Afiliação
  • Havugimana PC; Center for Network Systems Biology, Boston University, Boston, MA, USA.
  • Goel RK; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA.
  • Phanse S; Center for Network Systems Biology, Boston University, Boston, MA, USA.
  • Youssef A; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA.
  • Padhorny D; Center for Network Systems Biology, Boston University, Boston, MA, USA.
  • Kotelnikov S; Department of Biochemistry, Boston University School of Medicine, Boston, MA, USA.
  • Kozakov D; Center for Network Systems Biology, Boston University, Boston, MA, USA.
  • Emili A; Bioinformatics Program, Boston University, Boston, MA, USA.
Nat Commun ; 13(1): 4043, 2022 07 13.
Article em En | MEDLINE | ID: mdl-35831314
ABSTRACT
Co-fractionation/mass spectrometry (CF/MS) enables the mapping of endogenous macromolecular networks on a proteome scale, but current methods are experimentally laborious, resource intensive and afford lesser quantitative accuracy. Here, we present a technically efficient, cost-effective and reproducible multiplex CF/MS (mCF/MS) platform for measuring and comparing, simultaneously, multi-protein assemblies across different experimental samples at a rate that is up to an order of magnitude faster than previous approaches. We apply mCF/MS to map the protein interaction landscape of non-transformed mammary epithelia versus breast cancer cells in parallel, revealing large-scale differences in protein-protein interactions and the relative abundance of associated macromolecules connected with cancer-related pathways and altered cellular processes. The integration of multiplexing capability within an optimized workflow renders mCF/MS as a powerful tool for systematically exploring physical interaction networks in a comparative manner.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Proteômica Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteoma / Proteômica Idioma: En Ano de publicação: 2022 Tipo de documento: Article