TY  - JOUR
AU  - Kirschner, Friederike
AU  - Arnold-Schild, Danielle
AU  - Leps, Christian
AU  - Łącki, Mateusz Krzysztof
AU  - Klein, Matthias
AU  - Chen, Yannic
AU  - Ludt, Annekathrin
AU  - Marini, Federico
AU  - Kücük, Can
AU  - Stein, Lara
AU  - Distler, Ute
AU  - Sielaff, Malte
AU  - Michna, Thomas
AU  - Riegel, Kristina
AU  - Rajalingam, Krishnaraj
AU  - Bopp, Tobias
AU  - Tenzer, Stefan
AU  - Schild, Hansjörg
TI  - Modulation of cellular transcriptome and proteome composition by azidohomoalanine-implications on click chemistry-based secretome analysis.
JO  - Journal of molecular medicine
VL  - 101
IS  - 7
SN  - 0023-2173
CY  - New York, NY
PB  - Springer
M1  - DKFZ-2023-01045
SP  - 855-867
PY  - 2023
N1  - 2023 Jul;101(7):855-867 / DKTK Mainz
AB  - The 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
KW  - Metabolic labeling (Other)
KW  - Proteome (Other)
KW  - Secretome (Other)
KW  - Transcriptome (Other)
KW  - Tumor micromilieu (Other)
LB  - PUB:(DE-HGF)16
C6  - pmid:37231147
DO  - DOI:10.1007/s00109-023-02333-4
UR  - https://inrepo02.dkfz.de/record/276243
ER  -