Titelangaben
Singh, Jasjot ; Elhabashy, Hadeer ; Muthukottiappan, Pathma ; Stepath, Markus ; Eisenacher, Martin ; Kohlbacher, Oliver ; Gieselmann, Volkmar ; Winter, Dominic:
Cross-linking of the endolysosomal system reveals potential flotillin structures and cargo.
In: Nature Communications.
Bd. 13
(2022)
.
- 6212.
ISSN 2041-1723
DOI: https://doi.org/10.1038/s41467-022-33951-0
Angaben zu Projekten
| Projekttitel: |
Offizieller Projekttitel Projekt-ID FOR 2625: Mechanismen der Lysosomalen Homöostase 323732846 Konfokales Laser-Scanning-Mikroskop 169331223 |
|---|---|
| Projektfinanzierung: |
Deutsche Forschungsgemeinschaft |
Abstract
Lysosomes are well-established as the main cellular organelles for the degradation of macromolecules and emerging as regulatory centers of metabolism. They are of crucial importance for cellular homeostasis, which is exemplified by a plethora of disorders related to alterations in lysosomal function. In this context, protein complexes play a decisive role, regulating not only metabolic lysosomal processes but also lysosome biogenesis, transport, and interaction with other organelles. Using cross-linking mass spectrometry, we analyze lysosomes and early endosomes. Based on the identification of 5376 cross-links, we investigate protein-protein interactions and structures of lysosome- and endosome-related proteins. In particular, we present evidence for a tetrameric assembly of the lysosomal hydrolase PPT1 and a heterodimeric structure of FLOT1/FLOT2 at lysosomes and early endosomes. For FLOT1-/FLOT2-positive early endosomes, we identify >300 putative cargo proteins and confirm eleven substrates for flotillin-dependent endocytosis, including the latrophilin family of adhesion G protein-coupled receptors.
Weitere Angaben
| Publikationsform: | Artikel in einer Zeitschrift |
|---|---|
| Begutachteter Beitrag: | Ja |
| Institutionen der Universität: | Fakultäten > Fakultät für Biologie, Chemie und Geowissenschaften > Fachgruppe Chemie > Juniorprofessur Künstliche Intelligenz in der Proteinwissenschaft > Juniorprofessur Künstliche Intelligenz in der Proteinwissenschaft - Juniorprof. Dr. Hadeer Elsayed |
| Titel an der UBT entstanden: | Nein |
| Themengebiete aus DDC: | 500 Naturwissenschaften und Mathematik > 540 Chemie |
| Eingestellt am: | 16 Mär 2026 07:09 |
| Letzte Änderung: | 16 Mär 2026 07:09 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/96570 |

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