Chloroplast Isolation and Enrichment of Low-Abundance Proteins by Affinity Chromatography for Identification in Complex Proteomes

التفاصيل البيبلوغرافية
العنوان: Chloroplast Isolation and Enrichment of Low-Abundance Proteins by Affinity Chromatography for Identification in Complex Proteomes
المؤلفون: Roman G, Bayer, Simon, Stael, Markus, Teige
المصدر: Methods in molecular biology (Clifton, N.J.). 2261
سنة النشر: 2021
مصطلحات موضوعية: Plant Leaves, Proteomics, Chloroplasts, Proteome, Arabidopsis Proteins, Arabidopsis, Peas, Cell Fractionation, Chromatography, Affinity, Mass Spectrometry, Plant Proteins
الوصف: Comprehensive knowledge of the proteome is a crucial prerequisite to understand dynamic changes in biological systems. Particularly low-abundance proteins are of high relevance in these processes as these are often proteins involved in signal transduction and acclimation responses. Although technological advances resulted in a tremendous increase in protein identification sensitivity by mass spectrometry (MS), the dynamic range in protein abundance is still the most limiting problem for the detection of low-abundance proteins in complex proteomes. These proteins will typically escape detection in shotgun MS experiments due to the presence of high-abundance proteins. Therefore, specific enrichment strategies are still required to overcome this technical limitation of MS-based protein discovery. We have searched for novel signal transduction proteins, more specifically kinases and calcium-binding proteins, and here we describe different approaches for enrichment of these low-abundance proteins from isolated chloroplasts from pea and Arabidopsis for subsequent proteomic analysis by MS. These approaches could be extended to include other signal transduction proteins and target different organelles.
تدمد: 1940-6029
URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::3dce7459ab63a00b23ac406dabdb004d
https://pubmed.ncbi.nlm.nih.gov/33421013
رقم الانضمام: edsair.pmid..........3dce7459ab63a00b23ac406dabdb004d
قاعدة البيانات: OpenAIRE