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Journal article

Development of a sensitive, scalable method for spatial, cell-type-resolved proteomics of the human brain

Abstract:

While nearly comprehensive proteome coverage can be achieved from bulk tissue or cultured cells, the data usually lacks spatial resolution. As a result, tissue based proteomics averages protein abundance across multiple cell types and/or localizations. With proteomics platforms lacking sensitivity and throughput to undertake deep single-cell proteome studies in order to resolve spatial or cell type dependent protein expression gradients within tissue, proteome analysis has been combined with ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0001-7840-2411
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
ORCID:
0000-0003-2316-1707
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Clinical Neurosciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDM
Sub department:
Target Discovery Institute
Role:
Author
ORCID:
0000-0002-9715-5951
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Name:
Medical Research Council
Grant:
MR/L022656/1
Publisher:
American Chemical Society
Journal:
Journal of proteome research More from this journal
Volume:
18
Issue:
4
Pages:
1787-1795
Publication date:
2019-04-05
Acceptance date:
2019-02-15
DOI:
EISSN:
1535-3907
ISSN:
1535-3893
Pmid:
30768908
Language:
English
Keywords:
Pubs id:
pubs:974347
UUID:
uuid:e90c03b7-a218-4714-a4c0-9faa03d7a66f
Local pid:
pubs:974347
Source identifiers:
974347
Deposit date:
2019-05-01

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