Literature DB >> 33950499

Quantitative MS Workflow for a High-Quality Secretome Analysis by a Quantitative Secretome-Proteome Comparison.

Gereon Poschmann1, Nina Prescher1, Kai Stühler2.   

Abstract

Cells secrete proteins to communicate with their environment. Therefore, it is interesting to characterize the proteins which are released from cells under certain experimental conditions the so-called secretome. Here, often proteins from conditioned medium of cultured cells are analyzed, but these additionally might include also contaminating proteins of serum that have not been sufficiently removed or proteins from dying cells. To provide high-quality secretome data and minimize potential contaminants, we describe a quantitative comparison of conditioned medium and the cellular proteome. The described workflow comprises cell cultivation, sample preparation, and final data analysis which is based on the comparison of data from label-free mass spectrometric quantification of proteins from the conditioned medium with corresponding cellular proteomes enabling the detection of bona fide secreted proteins.

Keywords:  Contaminants; Quantitative MS; Secretome

Year:  2021        PMID: 33950499     DOI: 10.1007/978-1-0716-1024-4_21

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


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Review 1.  The secretome of the working human skeletal muscle--a promising opportunity to combat the metabolic disaster?

Authors:  Cora Weigert; Rainer Lehmann; Sonja Hartwig; Stefan Lehr
Journal:  Proteomics Clin Appl       Date:  2014-02       Impact factor: 3.494

  1 in total
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1.  Intratumoral heterogeneity of MYC drives medulloblastoma metastasis and angiogenesis.

Authors:  Nan Qin; Eunice Paisana; Maike Langini; Daniel Picard; Bastian Malzkorn; Carlos Custódia; Rita Cascão; Frauke-Dorothee Meyer; Lena Blümel; Sarah Göbbels; Kübra Taban; Jasmin Bartl; Nicole Bechmann; Catleen Conrad; Jan Gravemeyer; Jürgen C Becker; Anja Stefanski; Stéphanie Puget; João T Barata; Kai Stühler; Ute Fischer; Jörg Felsberg; Olivier Ayrault; Guido Reifenberger; Arndt Borkhardt; Graeme Eisenhofer; Claudia C Faria; Marc Remke
Journal:  Neuro Oncol       Date:  2022-09-01       Impact factor: 13.029

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