27-Plex Tandem Mass Tag Mass Spectrometry for Profiling Brain Proteome in Alzheimer's Disease.
27-Plex Tandem Mass Tag Mass Spectrometry for Profiling Brain Proteome in Alzheimer's Disease.
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DOI:
10.1021/acs.analchem.0c00655
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发表时间:
2020-05-19
影响因子:
7.4
通讯作者:
Peng J
中科院分区:
文献类型:
--
作者:
Wang Z;Yu K;Tan H;Wu Z;Cho JH;Han X;Sun H;Beach TG;Peng J
Multiplexed isobaric labeling methods, such as Tandem Mass Tags (TMT), remarkably improve the throughput of quantitative mass spectrometry. Here we present a 27-plex TMT method coupled with two-dimensional liquid chromatography (LC/LC) for extensive peptide fractionation and high-resolution tandem mass spectrometry (MS/MS) for peptide quantification, and then apply the method to profile complex human brain proteome of Alzheimer’s disease (AD). The 27-plex method combines multiplexed capacities of the 11-plex and the 16-plex TMT, as the peptides labeled by the two TMT sets display different mass and hydrophobicity, which can be well separated in LC-MS/MS. We first systematically optimized the protocol for the newly developed 16-plex TMT, including labeling reaction, desalting, and MS conditions, and then directly compared the 11-plex and 16-plex methods by analyzing the same human AD samples. Both methods yielded similar proteome coverage, analyzing > 100,000 peptides in > 10,000 human proteins. Furthermore, the 11-plex and 16-plex samples were mixed for a 27-plex assay, resulting in more than 8,000 protein measurements within the same MS time. The 27-plex results are highly consistent with those of the individual 11-plex and 16-plex TMT analyses. We also used these proteomics datasets to compare AD brain with the non-dementia controls, discovering major AD-related proteins and revealing numerous novel protein alterations enriched in the pathways of amyloidosis, immunity, mitochondrial and synaptic functions. Overall, our data strongly demonstrate that this new 27-plex strategy is highly feasible for routine large-scale proteomic analysis.
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影响因子:
7.3
作者:
Dephoure N;Gygi SP
通讯作者:
Gygi SP
影响因子:
64.5
作者:
Huttlin EL;Jedrychowski MP;Elias JE;Goswami T;Rad R;Beausoleil SA;Villén J;Haas W;Sowa ME;Gygi SP
通讯作者:
Gygi SP
影响因子:
16.2
作者:
Bai, Bing;Wang, Xusheng;Peng, Junmin
通讯作者:
Peng, Junmin
DOI:
10.1074/mcp.o113.034181
发表时间:
2013-12
期刊:
Molecular & cellular proteomics : MCP
影响因子:
--
作者:
Olsen JV;Mann M
通讯作者:
Mann M
影响因子:
64.8
作者:
Huttlin EL;Bruckner RJ;Paulo JA;Cannon JR;Ting L;Baltier K;Colby G;Gebreab F;Gygi MP;Parzen H;Szpyt J;Tam S;Zarraga G;Pontano-Vaites L;Swarup S;White AE;Schweppe DK;Rad R;Erickson BK;Obar RA;Guruharsha KG;Li K;Artavanis-Tsakonas S;Gygi SP;Harper JW
通讯作者:
Harper JW