Analyzing the Structure of Pathways and Its Influence on the Interpretation of Biomedical Proteomics Data Sets.
J Proteome Res
; 17(11): 3801-3809, 2018 11 02.
Article
em En
| MEDLINE
| ID: mdl-30251541
ABSTRACT
Biochemical pathways are commonly used as a reference to conduct functional analysis on biomedical omics data sets, where experimental results are mapped to knowledgebases comprising known molecular interactions collected from the literature. Due to their central role, the content of the functional knowledgebases directly influences the outcome of pathway analyses. In this study, we investigate the structure of the current pathway knowledge, as exemplified by Reactome, discuss the consequences for biological interpretation, and outline possible improvements in the use of pathway knowledgebases. By providing a view of the underlying protein interaction network, we aim to help pathway analysis users manage their expectations and better identify possible artifacts in the results.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Linfócitos
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Biologia Computacional
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Células Mieloides
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Mapeamento de Interação de Proteínas
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Proteômica
Limite:
Humans
Idioma:
En
Ano de publicação:
2018
Tipo de documento:
Article