Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Yan Chen, Jennifer Gin, Christopher Petzold 2020. Targeted proteomic LC-MS/MS analysis. protocols.io https://dx.doi.org/10.17504/protocols.io.bf9xjr7nCopy Citation Copied
URL: https://dx.doi.org/DOI:10.17504/protocols.io.bf9xjr7n
Authors: Yan Chen, Jennifer Gin, Christopher Petzold
Group: LBNL-omics
Summary: This protocol details steps in targeted proteomic data acquisition with a standard-flow UHPLC-QQQ system. It was adapted from Chen, Y. et al. “A rapid methods development workflow for high-throughput quantitative proteomic applications.” PloS ONE 14,2 e0211582. 14 Feb. 2019, doi:10.1371/journal.pone.0211582.
Affiliations: Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory
External URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211582
Version: 1
Publication Date: 2020
Expand AllComing soon.
Check
for resource mentions.
Coming soon.
Source:
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
