Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/115074
Title: Enabling cryo-EM density interpretation from yeast native cell extracts by proteomics data and AlphaFold structures
Author(s): Tüting, ChristianLook up in the Integrated Authority File of the German National Library
Schmidt, Lisa
Skalidis, Ioannis
Sinz, AndreaLook up in the Integrated Authority File of the German National Library
Kastritis, Panagiotis L.Look up in the Integrated Authority File of the German National Library
Issue Date: 2023
Type: Article
Language: English
Abstract: Inthecellularcontext,proteinsparticipateincommunitiestoperformtheirfunction.Thedetectionandidentificationofthesecommunitiesaswellasin-communityinter-actionshaslongbeenthesubjectofinvestigation,mainlythroughproteomicsanalysiswithmassspectrometry.Withtheadventofcryogenicelectronmicroscopyandthe“resolutionrevolution,”theirvisualizationhasrecentlybeenmadepossible,evenincomplex, native samples. The advances in both fields have resulted in the genera-tionoflargeamountsofdata,whoseanalysisrequiresadvancedcomputation,oftenemployingmachinelearningapproachestoreachthedesiredoutcome.Inthiswork,wefirstperformedarobustproteomicsanalysisofmassspectrometry(MS)dataderivedfromayeastnativecellextractandusedthisinformationtoidentifyproteincommu-nitiesandinter-proteininteractions.Cryo-EManalysisofthecellextractprovidedareconstructionofabiomoleculeatmediumresolution(∼8Å(FSC=0.143)).Utiliz-ingMS-derivedproteomicsdataandsystematicfittingofAlphaFold-predictedatomicmodels, this density was assigned to the 2.6 MDa complex of yeast fatty acid syn-thase.OurproposedworkflowidentifiesproteincomplexesinnativecellextractsfromSaccharomyces cerevisiaeby combining proteomics, cryo-EM, and AI-guided proteinstructureprediction.
URI: https://opendata.uni-halle.de//handle/1981185920/117030
http://dx.doi.org/10.25673/115074
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Proteomics
Publisher: Wiley VCH
Publisher Place: Weinheim
Volume: 23
Issue: 17
Original Publication: 10.1002/pmic.202200096
Page Start: 1
Page End: 10
Appears in Collections:Open Access Publikationen der MLU