• Je něco špatně v tomto záznamu ?

A mass spectrometric-derived cell surface protein atlas

D. Bausch-Fluck, A. Hofmann, T. Bock, AP. Frei, F. Cerciello, A. Jacobs, H. Moest, U. Omasits, RL. Gundry, C. Yoon, R. Schiess, A. Schmidt, P. Mirkowska, A. Härtlová, JE. Van Eyk, JP. Bourquin, R. Aebersold, KR. Boheler, P. Zandstra, B. Wollscheid,

. 2015 ; 10 (3) : e0121314. [pub] 20150420

Jazyk angličtina Země Spojené státy americké

Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/bmc16010296

Cell surface proteins are major targets of biomedical research due to their utility as cellular markers and their extracellular accessibility for pharmacological intervention. However, information about the cell surface protein repertoire (the surfaceome) of individual cells is only sparsely available. Here, we applied the Cell Surface Capture (CSC) technology to 41 human and 31 mouse cell types to generate a mass-spectrometry derived Cell Surface Protein Atlas (CSPA) providing cellular surfaceome snapshots at high resolution. The CSPA is presented in form of an easy-to-navigate interactive database, a downloadable data matrix and with tools for targeted surfaceome rediscovery (http://wlab.ethz.ch/cspa). The cellular surfaceome snapshots of different cell types, including cancer cells, resulted in a combined dataset of 1492 human and 1296 mouse cell surface glycoproteins, providing experimental evidence for their cell surface expression on different cell types, including 136 G-protein coupled receptors and 75 membrane receptor tyrosine-protein kinases. Integrated analysis of the CSPA reveals that the concerted biological function of individual cell types is mainly guided by quantitative rather than qualitative surfaceome differences. The CSPA will be useful for the evaluation of drug targets, for the improved classification of cell types and for a better understanding of the surfaceome and its concerted biological functions in complex signaling microenvironments.

Citace poskytuje Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc16010296
003      
CZ-PrNML
005      
20160408112313.0
007      
ta
008      
160408s2015 xxu f 000 0|eng||
009      
AR
024    7_
$a 10.1371/journal.pone.0121314 $2 doi
024    7_
$a 10.1371/journal.pone.0121314 $2 doi
035    __
$a (PubMed)25894527
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxu
100    1_
$a Bausch-Fluck, Damaris $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Department of Health Sciences and Technology, BMPP, ETH Zurich, Zurich, Switzerland.
245    12
$a A mass spectrometric-derived cell surface protein atlas / $c D. Bausch-Fluck, A. Hofmann, T. Bock, AP. Frei, F. Cerciello, A. Jacobs, H. Moest, U. Omasits, RL. Gundry, C. Yoon, R. Schiess, A. Schmidt, P. Mirkowska, A. Härtlová, JE. Van Eyk, JP. Bourquin, R. Aebersold, KR. Boheler, P. Zandstra, B. Wollscheid,
520    9_
$a Cell surface proteins are major targets of biomedical research due to their utility as cellular markers and their extracellular accessibility for pharmacological intervention. However, information about the cell surface protein repertoire (the surfaceome) of individual cells is only sparsely available. Here, we applied the Cell Surface Capture (CSC) technology to 41 human and 31 mouse cell types to generate a mass-spectrometry derived Cell Surface Protein Atlas (CSPA) providing cellular surfaceome snapshots at high resolution. The CSPA is presented in form of an easy-to-navigate interactive database, a downloadable data matrix and with tools for targeted surfaceome rediscovery (http://wlab.ethz.ch/cspa). The cellular surfaceome snapshots of different cell types, including cancer cells, resulted in a combined dataset of 1492 human and 1296 mouse cell surface glycoproteins, providing experimental evidence for their cell surface expression on different cell types, including 136 G-protein coupled receptors and 75 membrane receptor tyrosine-protein kinases. Integrated analysis of the CSPA reveals that the concerted biological function of individual cell types is mainly guided by quantitative rather than qualitative surfaceome differences. The CSPA will be useful for the evaluation of drug targets, for the improved classification of cell types and for a better understanding of the surfaceome and its concerted biological functions in complex signaling microenvironments.
650    _2
$a zvířata $7 D000818
650    _2
$a buněčné linie $7 D002460
650    _2
$a databáze proteinů $7 D030562
650    _2
$a lidé $7 D006801
650    _2
$a hmotnostní spektrometrie $x metody $7 D013058
650    _2
$a membránové proteiny $x chemie $7 D008565
650    _2
$a myši $7 D051379
650    _2
$a proteomika $x metody $7 D040901
655    _2
$a časopisecké články $7 D016428
655    _2
$a Research Support, N.I.H., Extramural $7 D052061
655    _2
$a práce podpořená grantem $7 D013485
700    1_
$a Hofmann, Andreas $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
700    1_
$a Bock, Thomas $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
700    1_
$a Frei, Andreas P $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
700    1_
$a Cerciello, Ferdinando $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Laboratory of Molecular Oncology, University Hospital Zurich, Zurich, Switzerland.
700    1_
$a Jacobs, Andrea $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
700    1_
$a Moest, Hansjoerg $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
700    1_
$a Omasits, Ulrich $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Department of Health Sciences and Technology, BMPP, ETH Zurich, Zurich, Switzerland.
700    1_
$a Gundry, Rebekah L $u Department of Biochemistry, Medical College of Wisconsin, Wisconsin, Milwaukee, United States of America.
700    1_
$a Yoon, Charles $u Institute for Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Canada.
700    1_
$a Schiess, Ralph $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
700    1_
$a Schmidt, Alexander $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
700    1_
$a Mirkowska, Paulina $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Oncology Research Laboratory, University Children Hospital Zurich, Zurich, Switzerland.
700    1_
$a Härtlová, Anetta $u Centre of Advanced Studies, Faculty of Military Health Sciences, University of Defense, Hradec Kralove, Czech Republic.
700    1_
$a Van Eyk, Jennifer E $u Department of Medicine, Biological Chemistry and Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
700    1_
$a Bourquin, Jean-Pierre $u Oncology Research Laboratory, University Children Hospital Zurich, Zurich, Switzerland.
700    1_
$a Aebersold, Ruedi $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Center for Systems Physiology and Metabolic Diseases, Zurich, Switzerland; Faculty of Science, University of Zurich, Zurich, Switzerland. $7 gn_A_00001940
700    1_
$a Boheler, Kenneth R $u SCRMC, LKS Faculty of Medicine, Hong Kong University, Hong Kong, Hong Kong SAR; Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
700    1_
$a Zandstra, Peter $u Institute for Biomaterials & Biomedical Engineering, University of Toronto, Toronto, Canada.
700    1_
$a Wollscheid, Bernd $u Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Department of Health Sciences and Technology, BMPP, ETH Zurich, Zurich, Switzerland.
773    0_
$w MED00180950 $t PloS one $x 1932-6203 $g Roč. 10, č. 3 (2015), s. e0121314
856    41
$u https://pubmed.ncbi.nlm.nih.gov/25894527 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20160408 $b ABA008
991    __
$a 20160408112351 $b ABA008
999    __
$a ok $b bmc $g 1113725 $s 934664
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2015 $b 10 $c 3 $d e0121314 $e 20150420 $i 1932-6203 $m PLoS One $n PLoS One $x MED00180950
LZP    __
$a Pubmed-20160408

Najít záznam

Citační ukazatele

Možnosti archivace