Annexin A4 trimers are recruited by high membrane curvatures in giant plasma membrane vesicles. Issue 2 (5th August 2020)
- Record Type:
- Journal Article
- Title:
- Annexin A4 trimers are recruited by high membrane curvatures in giant plasma membrane vesicles. Issue 2 (5th August 2020)
- Main Title:
- Annexin A4 trimers are recruited by high membrane curvatures in giant plasma membrane vesicles
- Authors:
- Florentsen, Christoffer Dam
Kamp-Sonne, Alexander
Moreno-Pescador, Guillermo
Pezeshkian, Weria
Hakami Zanjani, Ali Asghar
Khandelia, Himanshu
Nylandsted, Jesper
Bendix, Poul Martin - Abstract:
- Abstract : Protein structure and curvature sensing for annexin A4 trimers are coupled. These findings may provide new insight for the mechanisms underlying plasma membrane repair. Abstract : The plasma membrane (PM) of eukaryotic cells consists of a crowded environment comprised of a high diversity of proteins in a complex lipid matrix. The lateral organization of membrane proteins in the PM is closely correlated with biological functions such as endocytosis, membrane budding and other processes which involve protein mediated shaping of the membrane into highly curved structures. Annexin A4 (ANXA4) is a prominent player in a number of biological functions including PM repair. Its binding to membranes is activated by Ca 2+ influx and it is therefore rapidly recruited to the cell surface near rupture sites where Ca 2+ influx takes place. However, the free edges near rupture sites can easily bend into complex curvatures and hence may accelerate recruitment of curvature sensing proteins to facilitate rapid membrane repair. To analyze the curvature sensing behavior of curvature inducing proteins in crowded membranes, we quantifify the affinity of ANXA4 monomers and trimers for high membrane curvatures by extracting membrane nanotubes from giant PM vesicles (GPMVs). ANXA4 is found to be a sensor of negative membrane curvatures. Multiscale simulations, in which we extract molecular information from atomistic scale simulations as input to our macroscopic scale simulations,Abstract : Protein structure and curvature sensing for annexin A4 trimers are coupled. These findings may provide new insight for the mechanisms underlying plasma membrane repair. Abstract : The plasma membrane (PM) of eukaryotic cells consists of a crowded environment comprised of a high diversity of proteins in a complex lipid matrix. The lateral organization of membrane proteins in the PM is closely correlated with biological functions such as endocytosis, membrane budding and other processes which involve protein mediated shaping of the membrane into highly curved structures. Annexin A4 (ANXA4) is a prominent player in a number of biological functions including PM repair. Its binding to membranes is activated by Ca 2+ influx and it is therefore rapidly recruited to the cell surface near rupture sites where Ca 2+ influx takes place. However, the free edges near rupture sites can easily bend into complex curvatures and hence may accelerate recruitment of curvature sensing proteins to facilitate rapid membrane repair. To analyze the curvature sensing behavior of curvature inducing proteins in crowded membranes, we quantifify the affinity of ANXA4 monomers and trimers for high membrane curvatures by extracting membrane nanotubes from giant PM vesicles (GPMVs). ANXA4 is found to be a sensor of negative membrane curvatures. Multiscale simulations, in which we extract molecular information from atomistic scale simulations as input to our macroscopic scale simulations, furthermore predicted that ANXA4 trimers generate membrane curvature upon binding and have an affinity for highly curved membrane regions only within a well defined membrane curvature window. Our results indicate that curvature sensing and mobility of ANXA4 depend on the trimer structure of ANXA4 which could provide new biophysical insight into the role of ANXA4 in membrane repair and other biological processes. … (more)
- Is Part Of:
- Soft matter. Volume 17:Issue 2(2020)
- Journal:
- Soft matter
- Issue:
- Volume 17:Issue 2(2020)
- Issue Display:
- Volume 17, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 17
- Issue:
- 2
- Issue Sort Value:
- 2020-0017-0002-0000
- Page Start:
- 308
- Page End:
- 318
- Publication Date:
- 2020-08-05
- Subjects:
- Soft condensed matter -- Periodicals
530.413 - Journal URLs:
- http://www.rsc.org/Publishing/Journals/sm/index.asp ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/d0sm00241k ↗
- Languages:
- English
- ISSNs:
- 1744-683X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8321.419000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 15546.xml