Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-9391
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKirschner, Friederike-
dc.contributor.authorArnold-Schild, Danielle-
dc.contributor.authorLeps, Christian-
dc.contributor.authorŁącki, Mateusz Krzysztof-
dc.contributor.authorKlein, Matthias-
dc.contributor.authorChen, Yannic-
dc.contributor.authorLudt, Annekathrin-
dc.contributor.authorMarini, Federico-
dc.contributor.authorKücük, Can-
dc.contributor.authorStein, Lara-
dc.contributor.authorDistler, Ute-
dc.contributor.authorSielaff, Malte-
dc.contributor.authorMichna, Thomas-
dc.contributor.authorRiegel, Kristina-
dc.contributor.authorRajalingam, Krishnaraj-
dc.contributor.authorBopp, Tobias-
dc.contributor.authorTenzer, Stefan-
dc.contributor.authorSchild, Hansjörg-
dc.date.accessioned2023-08-18T10:17:39Z-
dc.date.available2023-08-18T10:17:39Z-
dc.date.issued2023-
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/9409-
dc.description.abstractThe analysis of the secretome provides important information on proteins defining intercellular communication and the recruitment and behavior of cells in specific tissues. Especially in the context of tumors, secretome data can support decisions for diagnosis and therapy. The mass spectrometry–based analysis of cell-conditioned media is widely used for the unbiased characterization of cancer secretomes in vitro. Metabolic labeling using azide-containing amino acid analogs in combination with click chemistry facilitates this type of analysis in the presence of serum, preventing serum starvation-induced effects. The modified amino acid analogs, however, are less efficiently incorporated into newly synthesized proteins and may perturb protein folding. Combining transcriptome and proteome analysis, we elucidate in detail the effects of metabolic labeling with the methionine analog azidohomoalanine (AHA) on gene and protein expression. Our data reveal that 15–39% of the proteins detected in the secretome displayed changes in transcript and protein expression induced by AHA labeling. Gene Ontology (GO) analyses indicate that metabolic labeling using AHA leads to induction of cellular stress and apoptosis-related pathways and provide first insights on how this affects the composition of the secretome on a global scale.en_GB
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG)|491381577|Open-Access-Publikationskosten 2022–2024 Universität Mainz - Universitätsmedizin-
dc.language.isoengde
dc.rightsCC BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.ddc610 Medizinde_DE
dc.subject.ddc610 Medical sciencesen_GB
dc.titleModulation of cellular transcriptome and proteome composition by azidohomoalanine : implications on click chemistry–based secretome analysisen_GB
dc.typeZeitschriftenaufsatzde
dc.identifier.doihttp://doi.org/10.25358/openscience-9391-
jgu.type.dinitypearticleen_GB
jgu.type.versionPublished versionde
jgu.type.resourceTextde
jgu.organisation.departmentFB 04 Medizinde
jgu.organisation.number2700-
jgu.organisation.nameJohannes Gutenberg-Universität Mainz-
jgu.rights.accessrightsopenAccess-
jgu.journal.titleJournal of molecular medicinede
jgu.journal.volume101de
jgu.pages.start855de
jgu.pages.end867de
jgu.publisher.year2023-
jgu.publisher.nameSpringerde
jgu.publisher.placeBerlin u.a.de
jgu.publisher.issn1432-1440de
jgu.organisation.placeMainz-
jgu.subject.ddccode610de
jgu.publisher.doi10.1007/s00109-023-02333-4de
jgu.organisation.rorhttps://ror.org/023b0x485-
Appears in collections:DFG-491381577-H

Files in This Item:
  File Description SizeFormat
Thumbnail
modulation_of_cellular_transc-20230815114205888.pdf3.66 MBAdobe PDFView/Open