2026-06-27T11:22:22Zhttps://docta.ucm.es/rest/oai/request
oai:docta.ucm.es:20.500.14352/79002023-08-26T08:31:10Zcom_20.500.14352_14col_20.500.14352_15
Docta Complutense author Humbert, Magali author Morán, María author de la Cruz-Ojeda, Patricia author Muntané, Jordi author Wiedmer, Tabea author Apostolova, Nadezda author McKenna, Sharon L. author Velasco Díez, Guillermo author Balduini, Walter author Eckhart, Leopold author Janji, Bassam author Sampaio-Marques, Belém author Ludovico, Paula author Žerovnik, Eva author Langer, Rupert author Perren, Aurel author Engedal, Nikolai author Tschan, Mario P. 2023-06-17T09:00:26Z 2023-06-17T09:00:26Z 2020-03-21 2079-7737 10.3390/biology9030059 https://hdl.handle.net/20.500.14352/7900 https://doi.org/10.3390/biology9030059 https://www.mdpi.com/2079-7737/9/3/59 Autophagy is a highly conserved degradation mechanism that is essential for maintaining cellular homeostasis. In human disease, autophagy pathways are frequently deregulated and there is immense interest in targeting autophagy for therapeutic approaches. Accordingly, there is a need to determine autophagic activity in human tissues, an endeavor that is hampered by the fact that autophagy is characterized by the flux of substrates whereas histology informs only about amounts and localization of substrates and regulators at a single timepoint. Despite this challenging task, considerable progress in establishing markers of autophagy has been made in recent years. The importance of establishing clear-cut autophagy markers that can be used for tissue analysis cannot be underestimated. In this review, we attempt to summarize known techniques to quantify autophagy in human tissue and their drawbacks. Furthermore, we provide some recommendations that should be taken into consideration to improve the reliability and the interpretation of autophagy biomarkers in human tissue samples. eng Atribución 3.0 España Assessing Autophagy in Archived Tissue or How to Capture Autophagic Flux from a Tissue Snapshot journal article URL https://docta.ucm.es/bitstreams/91563996-c1b5-4835-9c36-5ce5632859fe/download File MD5 b0220580a8dac0ff3b405d53274f33a8 1323487 application/pdf biology-09-00059.pdf