Pregled bibliografske jedinice broj: 1179522
Experimental and computational framework for a dynamic protein atlas of human cell division
Experimental and computational framework for a dynamic protein atlas of human cell division // Nature, 561 (2018), 7723; 411-415 doi:10.1038/s41586-018-0518-z (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1179522 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Experimental and computational framework for a
dynamic protein atlas of human cell division
Autori
Cai, Yin ; Hossain, M. Julius ; Hériché, Jean- Karim ; Politi, Antonio Z. ; Walther, Nike ; Koch, Birgit ; Wachsmuth, Malte ; Nijmeijer, Bianca ; Kueblbeck, Moritz ; Martinic-Kavur, Marina ; Ladurner, Rene ; Alexander, Stephanie ; Peters, Jan-Michael ; Ellenberg, Jan
Izvornik
Nature (0028-0836) 561
(2018), 7723;
411-415
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Mytosis ; cell division ; protein atlas ; mitotic protein ; mitosis progression ; protein localization ; fluorescence-correlation spectroscopy ; calibrated microscopy
Sažetak
Essential biological functions, such as mitosis, require tight coordination of hundreds of proteins in space and time. Localization, the timing of interactions and changes in cellular structure are all crucial to ensure the correct assembly, function and regulation of protein complexes1, 2, 3, 4. Imaging of live cells can reveal protein distributions and dynamics but experimental and theoretical challenges have prevented the collection of quantitative data, which are necessary for the formulation of a model of mitosis that comprehensively integrates information and enables the analysis of the dynamic interactions between the molecular parts of the mitotic machinery within changing cellular boundaries. Here we generate a canonical model of the morphological changes during the mitotic progression of human cells on the basis of four- dimensional image data. We use this model to integrate dynamic three-dimensional concentration data of many fluorescently knocked-in mitotic proteins, imaged by fluorescence correlation spectroscopy-calibrated microscopy5. The approach taken here to generate a dynamic protein atlas of human cell division is generic ; it can be applied to systematically map and mine dynamic protein localization networks that drive cell division in different cell types, and can be conceptually transferred to other cellular functions.
Izvorni jezik
Engleski
Znanstvena područja
Biologija, Temeljne medicinske znanosti
POVEZANOST RADA
Ustanove:
GENOS d.o.o.
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE
- Nature Index