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Spatially resolved 3D metabolomic profiling in tissues.
Ganesh, Shambavi; Hu, Thomas; Woods, Eric; Allam, Mayar; Cai, Shuangyi; Henderson, Walter; Coskun, Ahmet F.
Afiliación
  • Ganesh S; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
  • Hu T; Electrical and Computer Engineering Department, Georgia Institute of Technology, Atlanta, GA 30332, USA.
  • Woods E; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
  • Allam M; Electrical and Computer Engineering Department, Georgia Institute of Technology, Atlanta, GA 30332, USA.
  • Cai S; School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
  • Henderson W; Institute for Electronics and Nanotechnology, Georgia Institute of Technology, Atlanta, GA 30332, USA.
  • Coskun AF; Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA 30332, USA.
Sci Adv ; 7(5)2021 01.
Article en En | MEDLINE | ID: mdl-33571119
Spatially resolved RNA and protein molecular analyses have revealed unexpected heterogeneity of cells. Metabolic analysis of individual cells complements these single-cell studies. Here, we present a three-dimensional spatially resolved metabolomic profiling framework (3D-SMF) to map out the spatial organization of metabolic fragments and protein signatures in immune cells of human tonsils. In this method, 3D metabolic profiles were acquired by time-of-flight secondary ion mass spectrometry to profile up to 189 compounds. Ion beams were used to measure sub-5-nanometer layers of tissue across 150 sections of a tonsil. To incorporate cell specificity, tonsil tissues were labeled by an isotope-tagged antibody library. To explore relations of metabolic and cellular features, we carried out data reduction, 3D spatial correlations and classifications, unsupervised K-means clustering, and network analyses. Immune cells exhibited spatially distinct lipidomic fragment distributions in lymphatic tissue. The 3D-SMF pipeline affects studying the immune cells in health and disease.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metaboloma / Metabolómica Límite: Humans Idioma: En Revista: Sci Adv Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Metaboloma / Metabolómica Límite: Humans Idioma: En Revista: Sci Adv Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos