دورية أكاديمية
Modular automated bottom-up proteomic sample preparation for high-throughput applications
| العنوان: | Modular automated bottom-up proteomic sample preparation for high-throughput applications |
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| المؤلفون: | Yan Chen, Nurgul Kaplan Lease, Jennifer W. Gin, Tadeusz L. Ogorzalek, Paul D. Adams, Nathan J. Hillson, Christopher J. Petzold |
| المصدر: | PLoS ONE, Vol 17, Iss 2 (2022) |
| بيانات النشر: | Public Library of Science (PLoS), 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Medicine LCC:Science |
| مصطلحات موضوعية: | Medicine, Science |
| الوصف: | Manual proteomic sample preparation methods limit sample throughput and often lead to poor data quality when thousands of samples must be analyzed. Automated liquid handler systems are increasingly used to overcome these issues for many of the sample preparation steps. Here, we detail a step-by-step protocol to prepare samples for bottom-up proteomic analysis for Gram-negative bacterial and fungal cells. The full modular protocol consists of three optimized protocols to: (A) lyse Gram-negative bacteria and fungal cells; (B) quantify the amount of protein extracted; and (C) normalize the amount of protein and set up tryptic digestion. These protocols have been developed to facilitate rapid, low variance sample preparation of hundreds of samples, be easily implemented on widely-available Beckman-Coulter Biomek automated liquid handlers, and allow flexibility for future protocol development. By using this workflow 50 micrograms of protein from 96 samples can be prepared for tryptic digestion in under an hour. We validate these protocols by analyzing 47 Pseudomonas putida and Rhodosporidium toruloides samples and show that this modular workflow provides robust, reproducible proteomic samples for high-throughput applications. The expected results from these protocols are 94 peptide samples from Gram-negative bacterial and fungal cells prepared for bottom-up quantitative proteomic analysis without the need for desalting column cleanup and with protein relative quantity variance (CV%) below 15%. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1932-6203 |
| Relation: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880914/?tool=EBI; https://doaj.org/toc/1932-6203 |
| URL الوصول: | https://doaj.org/article/9ca716dcdc2143dbaac66eb269ee278c |
| رقم الأكسشن: | edsdoj.9ca716dcdc2143dbaac66eb269ee278c |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 19326203 |
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