Rovshan G Sadygov

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Postmenopausal Women

Gas Chromatography

Mass Spectrometry

Top Venues

Journal of proteome research

International journal of molecular sciences

Analytical chemistry

Communications chemistry

This page only lists publications with an associated author ORCID identifier.

Publications

Henock M Deberneh, Rovshan G Sadygov
Retention Time Alignment for Protein Turnover Studies Using Heavy Water Metabolic Labeling. Journal of proteome research 22 (2) (2023)
Henock M Deberneh, Doaa R Abdelrahman, Sunil K Verma, Jennifer J Linares, Andrew J Murton, William K Russell, Muge N Kuyumcu-Martinez, Benjamin F Miller, Rovshan G Sadygov
A large-scale LC-MS dataset of murine liver proteome from time course of heavy water metabolic labeling. Scientific data 10 (1) (2023)
Henock M Deberneh, Rovshan G Sadygov
Retention Time Alignment for Protein Turnover Studies Using Heavy Water Metabolic Labeling. Journal of proteome research 22 (2) (2023)
Henock M Deberneh, Rovshan G Sadygov
Retention Time Alignment for Protein Turnover Studies Using Heavy Water Metabolic Labeling. Journal of proteome research (2023)
Henock M Deberneh, Rovshan G Sadygov
Flexible Quality Control for Protein Turnover Rates Using d2ome. International journal of molecular sciences 24 (21) (2023)
Henock M Deberneh, Doaa R Abdelrahman, Sunil K Verma, Jennifer J Linares, Andrew J Murton, William K Russell, Muge N Kuyumcu-Martinez, Benjamin F Miller, Rovshan G Sadygov
Quantifying label enrichment from two mass isotopomers increases proteome coverage for in vivo protein turnover using heavy water metabolic labeling. Communications chemistry 6 (1) (2023)
Henock M Deberneh, Rovshan G Sadygov
Retention Time Alignment for Protein Turnover Studies Using Heavy Water Metabolic Labeling. Journal of proteome research 22 (2) (2023)
Rovshan G Sadygov
Protein turnover models for LC-MS data of heavy water metabolic labeling. Briefings in bioinformatics 23 (2) (2022)
Henock M Deberneh, Rovshan G Sadygov
Software Tool for Visualization and Validation of Protein Turnover Rates Using Heavy Water Metabolic Labeling and LC-MS. International journal of molecular sciences 23 (23) (2022)
Henock M Deberneh, Rovshan G Sadygov
Software Tool for Visualization and Validation of Protein Turnover Rates Using Heavy Water Metabolic Labeling and LC-MS. International journal of molecular sciences 23 (23) (2022)
Henock M Deberneh, Rovshan G Sadygov
Software Tool for Visualization and Validation of Protein Turnover Rates Using Heavy Water Metabolic Labeling and LC-MS. International journal of molecular sciences 23 (23) (2022)
Henock M Deberneh, Rovshan G Sadygov
Software Tool for Visualization and Validation of Protein Turnover Rates Using Heavy Water Metabolic Labeling and LC-MS. International journal of molecular sciences 23 (23) (2022)
Rovshan G Sadygov
Using Heavy Mass Isotopomers for Protein Turnover in Heavy Water Metabolic Labeling. Journal of proteome research 20 (4) (2021)
Rovshan G Sadygov, Jayant Avva, Mahbubur Rahman, Kwangwon Lee, Sergei Ilchenko, Takhar Kasumov, Ahmad Borzou
Correction to "d2ome, Software for in Vivo Protein Turnover Analysis Using Heavy Water Labeling and LC-MS, Reveals Alterations of Hepatic Proteome Dynamics in a Mouse Model of NAFLD". Journal of proteome research 20 (10) (2021)
Rovshan G Sadygov
Partial Isotope Profiles Are Sufficient for Protein Turnover Analysis Using Closed-Form Equations of Mass Isotopomer Dynamics. Analytical chemistry 92 (21) (2020)
Vugar R Sadygov, William Zhang, Rovshan G Sadygov
Timepoint Selection Strategy for In Vivo Proteome Dynamics from Heavy Water Metabolic Labeling and LC-MS. Journal of proteome research 19 (5) (2020)
Rovshan G Sadygov
High-Resolution Mass Spectrometry for In Vivo Proteome Dynamics using Heavy Water Metabolic Labeling. International journal of molecular sciences 21 (21) (2020)
Rovshan G Sadygov, Jayant Avva, Mahbubur Rahman, Kwangwon Lee, Sergei Ilchenko, Takhar Kasumov, Ahmad Borzou
d2ome, Software for in Vivo Protein Turnover Analysis Using Heavy Water Labeling and LC-MS, Reveals Alterations of Hepatic Proteome Dynamics in a Mouse Model of NAFLD. Journal of proteome research 17 (11) (2018)