Optimal LC-MS metabolomic profiling reveals emergent changes to monocyte metabolism in response to lipopolysaccharide.

Leacy, Emma; Batten, Isabella; Sanelli, Laetitia; McElheron, Matthew; Brady, Gareth; Little, Mark A; Khouri, Hania

Leacy, Emma; Batten, Isabella; Sanelli, Laetitia; McElheron, Matthew; Brady, Gareth; Little, Mark A; Khouri, Hania.

Afiliação

Leacy E; Trinity Translational Medicine Institute, Faculty of Health Sciences, Trinity College Dublin, Dublin, Ireland.
Batten I; Trinity Translational Medicine Institute, Faculty of Health Sciences, Trinity College Dublin, Dublin, Ireland.
Sanelli L; Faculty of Health Medicine and Life Sciences, Maastricht University, Maastricht, Netherlands.
McElheron M; Trinity Translational Medicine Institute, Faculty of Health Sciences, Trinity College Dublin, Dublin, Ireland.
Brady G; Trinity Translational Medicine Institute, Faculty of Health Sciences, Trinity College Dublin, Dublin, Ireland.
Little MA; Trinity Translational Medicine Institute, Faculty of Health Sciences, Trinity College Dublin, Dublin, Ireland.
Khouri H; Trinity Health Kidney Centre, Tallaght University Hospital, Dublin, Ireland.

Front Immunol ; 14: 1116760, 2023.

Article em En | MEDLINE | ID: mdl-37033938

Assuntos

Lipopolissacarídeos; Monócitos; Humanos; Cromatografia Líquida/métodos; Espectrometria de Massas em Tandem/métodos; Metabolômica/métodos

Palavras-chave

LC-MS; LPS; data normalization; metabolomics; monocyte

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Monócitos / Lipopolissacarídeos Limite: Humans Idioma: En Revista: Front Immunol Ano de publicação: 2023 Tipo de documento: Article

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