Crosslinking mass spectrometry in human mitochondria: From data analysis strategy to in situ biological findings
- Weitere Titel
-
Quervernetzende Massenspektrometrie in humanen Mitochondrien: Von der Datenanalysestrategie bis hin zu in situ biologischen Erkenntnissen
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Berlin, Technische Universität Berlin, Dissertation, 2022
- Schlagwort
-
Mitochondrium
Struktur-Aktivitäts-Beziehung
- Ereignis
-
Veröffentlichung
- (wo)
-
Berlin
- (wer)
-
Technische Universität Berlin
- (wann)
-
2023
- Urheber
- Beteiligte Personen und Organisationen
-
Rappsilber, Juri
Urlaub, Henning
Kirstein, Janine
- DOI
-
10.14279/depositonce-16959
- Handle
-
11303/18166
- URN
-
urn:nbn:de:101:1-2023021501035905230471
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:53 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Ryl, Petra Sabine Jutta
- Rappsilber, Juri
- Urlaub, Henning
- Kirstein, Janine
- Technische Universität Berlin
Entstanden
- 2023
Ähnliche Objekte (12)
Data analysis strategies for proteome-wide crosslinking mass spectrometry
Computational methods and machine learning for crosslinking mass spectrometry data analysis
Quantitative photo-crosslinking mass spectrometry revealing protein structure response to environmental changes
Investigating chemical crosslinking of protein-RNA complexes by mass spectrometry
Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry
Data-independent acquisition improves quantitative cross-linking mass spectrometry
Investigation of protein-RNA interactions by UV cross-linking and mass spectrometry: methodological improvements toward in vivo applications
Leveraging parameter dependencies in high-field asymmetric waveform ion-mobility spectrometry and size exclusion chromatography for proteome-wide cross-linking mass spectrometry
Reliable identification of protein-protein interactions by crosslinking mass spectrometry
Crosslinking and mass spectrometry for the study of biomolecular structures on the systems level
Mass spectrometry of crosslinked peptides
Multiclassifier combinatorial proteomics of organelle shadows at the example of mitochondria in chromatin data
Data analysis strategies for proteome-wide crosslinking mass spectrometry
Computational methods and machine learning for crosslinking mass spectrometry data analysis
Quantitative photo-crosslinking mass spectrometry revealing protein structure response to environmental changes
Investigating chemical crosslinking of protein-RNA complexes by mass spectrometry
Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry
Data-independent acquisition improves quantitative cross-linking mass spectrometry
Investigation of protein-RNA interactions by UV cross-linking and mass spectrometry: methodological improvements toward in vivo applications
Leveraging parameter dependencies in high-field asymmetric waveform ion-mobility spectrometry and size exclusion chromatography for proteome-wide cross-linking mass spectrometry
Reliable identification of protein-protein interactions by crosslinking mass spectrometry
Crosslinking and mass spectrometry for the study of biomolecular structures on the systems level
Mass spectrometry of crosslinked peptides
Multiclassifier combinatorial proteomics of organelle shadows at the example of mitochondria in chromatin data
Data analysis strategies for proteome-wide crosslinking mass spectrometry
Computational methods and machine learning for crosslinking mass spectrometry data analysis
Quantitative photo-crosslinking mass spectrometry revealing protein structure response to environmental changes
Investigating chemical crosslinking of protein-RNA complexes by mass spectrometry
Retention time prediction using neural networks increases identifications in crosslinking mass spectrometry
Data-independent acquisition improves quantitative cross-linking mass spectrometry
Investigation of protein-RNA interactions by UV cross-linking and mass spectrometry: methodological improvements toward in vivo applications
Leveraging parameter dependencies in high-field asymmetric waveform ion-mobility spectrometry and size exclusion chromatography for proteome-wide cross-linking mass spectrometry
Reliable identification of protein-protein interactions by crosslinking mass spectrometry
Crosslinking and mass spectrometry for the study of biomolecular structures on the systems level
Mass spectrometry of crosslinked peptides