Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 4 de 4
Filter
Add more filters










Database
Language
Publication year range
1.
Biomacromolecules ; 25(2): 778-791, 2024 Feb 12.
Article in English | MEDLINE | ID: mdl-38190609

ABSTRACT

Considerable attention has been dedicated to lipid rafts due to their importance in numerous cell functions such as membrane trafficking, polarization, and signaling. Next to studies in living cells, artificial micrometer-sized vesicles with a minimal set of components are established as a major tool to understand the phase separation dynamics and their intimate interplay with membrane proteins. In parallel, mixtures of phospholipids and certain amphiphilic polymers simultaneously offer an interface for proteins and mimic this segregation behavior, presenting a tangible synthetic alternative for fundamental studies and bottom-up design of cellular mimics. However, the simultaneous insertion of complex and sensitive membrane proteins is experimentally challenging and thus far has been largely limited to natural lipids. Here, we present the co-reconstitution of the proton pump bo3 oxidase and the proton consumer ATP synthase in hybrid polymer/lipid giant unilamellar vesicles (GUVs) via fusion/electroformation. Variations of the current method allow for tailored reconstitution protocols and control of the vesicle size. In particular, mixing of protein-free and protein-functionalized nanosized vesicles in the electroformation film results in larger GUVs, while separate reconstitution of the respiratory enzymes enables higher ATP synthesis rates. Furthermore, protein labeling provides a synthetic mechanism for phase separation and protein sequestration, mimicking lipid- and protein-mediated domain formation in nature. The latter means opens further possibilities for re-enacting phenomena like supercomplex assembly or symmetry breaking and enriches the toolbox of bottom-up synthetic biology.


Subject(s)
Polymers , Unilamellar Liposomes , Phospholipids , Membrane Proteins , Membrane Microdomains/metabolism , Adenosine Triphosphate
2.
Commun Biol ; 6(1): 552, 2023 05 22.
Article in English | MEDLINE | ID: mdl-37217784

ABSTRACT

The oxoglutarate dehydrogenase complex (OGDHc) participates in the tricarboxylic acid cycle and, in a multi-step reaction, decarboxylates α-ketoglutarate, transfers succinyl to CoA, and reduces NAD+. Due to its pivotal role in metabolism, OGDHc enzymatic components have been studied in isolation; however, their interactions within the endogenous OGDHc remain elusive. Here, we discern the organization of a thermophilic, eukaryotic, native OGDHc in its active state. By combining biochemical, biophysical, and bioinformatic methods, we resolve its composition, 3D architecture, and molecular function at 3.35 Å resolution. We further report the high-resolution cryo-EM structure of the OGDHc core (E2o), which displays various structural adaptations. These include hydrogen bonding patterns confining interactions of OGDHc participating enzymes (E1o-E2o-E3), electrostatic tunneling that drives inter-subunit communication, and the presence of a flexible subunit (E3BPo), connecting E2o and E3. This multi-scale analysis of a succinyl-CoA-producing native cell extract provides a blueprint for structure-function studies of complex mixtures of medical and biotechnological value.


Subject(s)
Citric Acid Cycle , Ketoglutarate Dehydrogenase Complex , Ketoglutarate Dehydrogenase Complex/chemistry , Ketoglutarate Dehydrogenase Complex/metabolism , Acyl Coenzyme A/metabolism , Cytoplasm
3.
Mol Syst Biol ; 19(4): e11587, 2023 04 12.
Article in English | MEDLINE | ID: mdl-36896624

ABSTRACT

Integration of experimental and computational methods is crucial to better understanding protein-protein interactions (PPIs), ideally in their cellular context. In their recent work, Rappsilber and colleagues (O'Reilly et al, 2023) identified bacterial PPIs using an array of approaches. They combined whole-cell crosslinking, co-fractionation mass spectrometry, and open-source data mining with artificial intelligence (AI)-based structure prediction of PPIs in the well-studied organism Bacillus subtilis. This innovative approach reveals architectural knowledge for in-cell PPIs that are often lost upon cell lysis, making it applicable to genetically intractable organisms such as pathogenic bacteria.


Subject(s)
Artificial Intelligence , Protein Interaction Mapping , Protein Interaction Mapping/methods , Proteins
4.
Biomacromolecules ; 23(12): 5084-5094, 2022 Dec 12.
Article in English | MEDLINE | ID: mdl-36399657

ABSTRACT

New technologies for purifying membrane-bound protein complexes in combination with cryo-electron microscopy (EM) have recently allowed the exploration of such complexes under near-native conditions. In particular, polymer-encapsulated nanodiscs enable the study of membrane proteins at high resolution while retaining protein-protein and protein-lipid interactions within a lipid bilayer. However, this powerful technology has not been exploited to address the important question of how endogenous─as opposed to overexpressed─membrane proteins are organized within a lipid environment. In this work, we demonstrate that biochemical enrichment protocols for native membrane-protein complexes from Chaetomium thermophilum in combination with polymer-based lipid-bilayer nanodiscs provide a substantial improvement in the quality of recovered endogenous membrane-protein complexes. Mass spectrometry results revealed ∼1123 proteins, while multiple 2D class averages and two 3D reconstructions from cryo-EM data furnished prominent structural signatures. This integrated methodological approach to enriching endogenous membrane-protein complexes provides unprecedented opportunities for a deeper understanding of eukaryotic membrane proteomes.


Subject(s)
Lipid Bilayers , Nanostructures , Lipid Bilayers/chemistry , Cryoelectron Microscopy/methods , Membrane Proteins/chemistry , Eukaryota/metabolism , Nanostructures/chemistry , Polymers/chemistry
SELECTION OF CITATIONS
SEARCH DETAIL
...