Systematic Optimization of the iMALDI Workflow for the Robust and Straightforward Quantification of Signaling Proteins in Cancer Cells

dc.contributor.author	Pötz, Oliver
dc.date.accessioned	2020-12-07T09:44:25Z
dc.date.available	2020-12-07T09:44:25Z
dc.date.issued	2020
dc.identifier.issn	1862-8354
dc.identifier.uri	http://hdl.handle.net/10900/110321
dc.language.iso	en	de_DE
dc.publisher	Wiley - V C H Verlag Gmbh	de_DE
dc.relation.uri	http://dx.doi.org/10.1002/prca.202000034	de_DE
dc.subject.ddc	570	de_DE
dc.title	Systematic Optimization of the iMALDI Workflow for the Robust and Straightforward Quantification of Signaling Proteins in Cancer Cells	de_DE
dc.type	Article	de_DE
utue.quellen.id	20200929220116_00269
utue.personen.roh	Froehlich, Bjoern C.
utue.personen.roh	Popp, Robert
utue.personen.roh	Sobsey, Constance A.
utue.personen.roh	Ibrahim, Sahar
utue.personen.roh	LeBlanc, Andre M.
utue.personen.roh	Mohammed, Yassene
utue.personen.roh	Aguilar-Mahecha, Adriana
utue.personen.roh	Poetz, Oliver
utue.personen.roh	Chen, Michael X.
utue.personen.roh	Spatz, Alan
utue.personen.roh	Basik, Mark
utue.personen.roh	Batist, Gerald
utue.personen.roh	Zahedi, Rene P.
utue.personen.roh	Borchers, Christoph H.
dcterms.isPartOf.ZSTitelID	Proteomics Clinical Applications	de_DE
dcterms.isPartOf.ZS-Issue	Article 2000034	de_DE
dcterms.isPartOf.ZS-Volume	14 (5)	de_DE
utue.fakultaet	04 Medizinische Fakultät	de_DE
utue.fakultaet	07 Mathematisch-Naturwissenschaftliche Fakultät	de_DE

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