Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery.
Scalable multiplex co-fractionation/mass spectrometry platform for accelerated protein interactome discovery.
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用于加速蛋白质相互作用组发现的可扩展的多重共分馏/质谱平台。
DOI:
10.1038/s41467-022-31809-z
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发表时间:
2022-07-13
影响因子:
16.6
通讯作者:
Emili, Andrew
中科院分区:
文献类型:
--
作者:
Havugimana, Pierre C.;Goel, Raghuveera Kumar;Phanse, Sadhna;Youssef, Ahmed;Padhorny, Dzmitry;Kotelnikov, Sergei;Kozakov, Dima;Emili, Andrew
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. Co-fractionation/mass spectrometry (CF/MS) allows mapping protein interactomes but efficiency and quantitative accuracy are limited. Here, the authors develop a reproducible multiplexed CF/MS method and apply it to characterize interactome rewiring in breast cancer cells.
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影响因子:
64.8
作者:
Jumper J;Evans R;Pritzel A;Green T;Figurnov M;Ronneberger O;Tunyasuvunakool K;Bates R;Žídek A;Potapenko A;Bridgland A;Meyer C;Kohl SAA;Ballard AJ;Cowie A;Romera-Paredes B;Nikolov S;Jain R;Adler J;Back T;Petersen S;Reiman D;Clancy E;Zielinski M;Steinegger M;Pacholska M;Berghammer T;Bodenstein S;Silver D;Vinyals O;Senior AW;Kavukcuoglu K;Kohli P;Hassabis D
通讯作者:
Hassabis D
影响因子:
14.9
作者:
Jarrett SG;Wolf Horrell EM;D'Orazio JA
通讯作者:
D'Orazio JA
DOI:
10.1016/j.pbiomolbio.2016.10.002
发表时间:
2017-09-01
影响因子:
3.8
作者:
Jubb, Harry C.;Pandurangan, Arun P.;Ascher, David B.
通讯作者:
Ascher, David B.
影响因子:
82.9
作者:
通讯作者:
--
影响因子:
4.8
作者:
Ciszak, EM;Korotchkina, LG;Patel, MS
通讯作者:
Patel, MS