Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) Technology in Fission Yeast

التفاصيل البيبلوغرافية
العنوان: Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC) Technology in Fission Yeast
المؤلفون: Boris Macek, Kenneth E. Sawin, André Koch, Alejandro Carpy, Silke Hauf, Claudia C. Bicho, Weronika E. Borek
المصدر: Cold Spring Harbor protocols. 2017(6)
سنة النشر: 2017
مصطلحات موضوعية: 0301 basic medicine, chemistry.chemical_classification, Proteomics, Arginine, biology, Proteome, Chemistry, Lysine, biology.organism_classification, Phosphoproteins, General Biochemistry, Genetics and Molecular Biology, Yeast, Mass Spectrometry, Amino acid, Fungal Proteins, 03 medical and health sciences, 030104 developmental biology, Biochemistry, Stable isotope labeling by amino acids in cell culture, Isotope Labeling, Schizosaccharomyces pombe, Schizosaccharomyces, Amino Acids, Shotgun proteomics
الوصف: Shotgun proteomics combined with stable isotope labeling by amino acids in cell culture (SILAC) is a powerful approach to quantify proteins and posttranslational modifications across the entire proteome. SILAC technology in Schizosaccharomyces pombe must cope with the “arginine conversion problem,” in which isotope-labeled arginine is converted to other amino acids. This can be circumvented by either using stable isotope-marked lysine only (as opposed to the more standard lysine/arginine double labeling) or using yeast genetics to create strains that only very inefficiently convert arginine. Both strategies have been used successfully in large-scale (phospho)proteomics projects in S. pombe. Here we introduce methods for performing a typical SILAC-based experiment in fission yeast, including generation of SILAC-compatible strains, sample preparation, and measurement by mass spectrometry.
تدمد: 1559-6095
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15b05695e52e66de2c3d1f78001c8fc2
https://pubmed.ncbi.nlm.nih.gov/28572211
حقوق: OPEN
رقم الأكسشن: edsair.doi.dedup.....15b05695e52e66de2c3d1f78001c8fc2
قاعدة البيانات: OpenAIRE