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  Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases

Liu, X., Novak, B., Namendorf, C., Steigenberger, B., Zhang, Y., & Turck, C. W. (2024). Long-lived proteins and DNA as candidate predictive biomarkers for tissue associated diseases. iScience, 27(4): 109642. doi:10.1016/j.isci.2024.109642.

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Liu, Xiaosong1, Autor
Novak, Bozidar1, Autor
Namendorf, Christian1, Autor
Steigenberger, Barbara2, Autor           
Zhang, Yaoyang1, Autor
Turck, Christoph W.1, Autor
Affiliations:
1external, ou_persistent22              
2Scientific Service Groups, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565170              

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Schlagwörter: TURNOVER; PROTEASOME; PEPTIDES; REVEALS; NUCLEAR; OSTEOCLASTOGENESIS; CELLS; BIRTH; ACIDScience & Technology - Other Topics;
 Zusammenfassung: Protein turnover is an important mechanism to maintain proteostasis. Long-lived proteins (LLPs) are vulnerable to lose their function due to time -accumulated damages. In this study we employed in vivo stable isotope labeling in mice from birth to postnatal day 89. Quantitative proteomics analysis of ten tissues and plasma identified 2113 LLPs, including widespread and tissue -specific ones. Interestingly, a significant percentage of LLPs was detected in plasma, implying a potential link to age -related cardiovascular diseases. LLPs identified in brains were related to neurodegenerative diseases. In addition, the relative quantification of DNA -derived deoxynucleosides from the same tissues provided information about cellular DNA renewal and showed good correlation with LLPs in the brain. The combined data reveal tissue -specific maps of mouse LLPs that may be involved in pathology due to a low renewal rate and an increased risk of damage. Tissue -derived peripheral LLPs hold promise as biomarkers for aging and age -related diseases.

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Sprache(n): eng - English
 Datum: 2024-03-282024-04-09
 Publikationsstatus: Erschienen
 Seiten: 19
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: ISI: 001227640500001
DOI: 10.1016/j.isci.2024.109642
 Art des Abschluß: -

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Titel: iScience
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: Amsterdam ; Bosten ; London ; New York ; Oxford ; Paris ; Philadelphia ; San Diego ; St. Louis : Elsevier
Seiten: - Band / Heft: 27 (4) Artikelnummer: 109642 Start- / Endseite: - Identifikator: ISSN: 2589-0042
CoNE: https://pure.mpg.de/cone/journals/resource/2589-0042