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Sigle, M.* ; Rohlfing, A.K.* ; Kenny, M.* ; Scheuermann, S.* ; Sun, N. ; Graeßner, U.* ; Haug, V.* ; Sudmann, J.* ; Seitz, C.M.* ; Heinzmann, D.* ; Schenke-Layland, K.* ; Maguire, P.B.* ; Walch, A.* ; Marzi, J.* ; Gawaz, M.P.*

Translating genomic tools to Raman spectroscopy analysis enables high-dimensional tissue characterization on molecular resolution.

Nat. Commun. 14, 16:5799 (2023)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Spatial transcriptomics of histological sections have revolutionized research in life sciences and enabled unprecedented insights into genetic processes involved in tissue reorganization. However, in contrast to genomic analysis, the actual biomolecular composition of the sample has fallen behind, leaving a gap of potentially highly valuable information. Raman microspectroscopy provides untargeted spatiomolecular information at high resolution, capable of filling this gap. In this study we demonstrate spatially resolved Raman “spectromics” to reveal homogeneity, heterogeneity and dynamics of cell matrix on molecular levels by repurposing state-of-the-art bioinformatic analysis tools commonly used for transcriptomic analyses. By exploring sections of murine myocardial infarction and cardiac hypertrophy, we identify myocardial subclusters when spatially approaching the pathology, and define the surrounding metabolic and cellular (immune-) landscape. Our innovative, label-free, non-invasive “spectromics” approach could therefore open perspectives for a profound characterization of histological samples, while additionally allowing the combination with consecutive downstream analyses of the very same specimen.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Myocardial-infarction; Secondary Structure; Neural-networks; Cells
Sprache englisch
Veröffentlichungsjahr 2023
HGF-Berichtsjahr 2023
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 14, Heft: 1, Seiten: 16, Artikelnummer: 5799 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Research Unit Analytical Pathology (AAP)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-500390-001
Förderungen BMBF
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
State Ministry of Baden Wurttemberg for Economic Affairs, Labour and Housing Construction
Deutsche Forschungsgemeinschaft
Interdisciplinary Center for Clinical Research Tuebingen (IZKF) Doctoral Program
DOI 10.1038/s41467-023-41417-0
WOS ID 001188205700004
WOS ID 001149254400004
Scopus ID 85171654922
PubMed ID 37726278
Erfassungsdatum 2023-10-18
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