Using proteomics to quantify metabolic pathways

Elsemman IE, Rodriguez Prado A, Grigaitis P, Garcia Albornoz M, Harman V, Holman SW, van Heerden J, Bruggeman FJ, Bisschops MMM, Sonnenschein N, Hubbard S, Beynon R, Daran-Lapujade P, Nielsen J, Teusink B. (2022) Whole-cell modeling in yeast predicts compartment-specific proteome constraints that drive metabolic strategies. [PUBMED] [Abstract...]

Global proteomics of carbon source metabolism in Saccharomyces

M Garcia-Albornoz 1, S W Holman, T Antonisse, P Daran-Lapujade, B Teusink, R J Beynon, S J Hubbard (2020) A proteome-integrated, carbon source dependent genetic regulatory network in Saccharomyces cerevisiae. [PDF] [PUBMED] [DOI] [Abstract...]

Using proteomics to identify targets for schistosomiasis

Leandro X Neves, R Alan Wilson, Philip Brownridge, Victoria M Harman, Stephen W Holman, Robert J Beynon, Claire E Eyers, Ricardo DeMarco, William Castro-Borges (2020) Quantitative Proteomics of Enriched Esophageal and Gut Tissues from the Human Blood Fluke Schistosoma mansoni Pinpoints Secreted Proteins for Vaccine Development. [PDF] [PUBMED] [DOI] [Abstract...]

Role of RNA polymerase III through proteomics

Roza Szatkowska, Manuel Garcia-Albornoz,*, Katarzyna Roszkowska, Stephen W. Holman, Emil Furmanek, Simon J. Hubbard, Robert J. Beynon and Malgorzata Adamczyk (2019) Glycolytic flux in Saccharomyces cerevisiae is dependent on RNA polymerase III and its negative regulator Maf1[PDF] [PUBMED] [Abstract...]

Double standards in proteomics

Richard J. Bennett, Deborah M. Simpson, Stephen W. Holman, Sheila Ryan, Philip Brownridge, Claire E. Eyers, John Colyer, Robert J. Beynon (2017) DOSCATs: Double standards for protein quantification [PDF] [PUBMED] [Abstract...]

Improving the quality of turnover measurement

Stephen W. Holman, Dean E. Hammond, Deborah M. Simpson, John Waters, Jane L. Hurst and Robert J. Beynon (2016) Protein turnover measurement using selected reaction monitoring-mass spectrometry (SRM MS). [PUBMED] [PDF] [Abstract...]

The biggest absolute quantification study ever! A tale of 100 QconCATs for nearly 2,000 proteins

Lawless C, Holman SW, Brownridge P, Lanthaler K, Harman VM, Watkins R, Hammond DE, Miller RL, Sims PF, Grant CM, Eyers CE, Beynon RJ, Hubbard SJ. (2016) Direct and Absolute Quantification of over 1800 Yeast Proteins via Selected Reaction Monitoring. [Abstract...]

SRM data standards

Da Qi, Craig Lawless, Johan Teleman,Fredrik Levander, Stephen W. Holman, Simon Hubbard and Andrew Jones (2015) The representation of selected-reaction monitoring data in the mzQuantML data standard. [PUBMED][PDF] [Abstract...]

Who's got the biggest workload? Analysis of chaperone abundance and workload

Brownridge P, Lawless C, Payapilly AB, Lanthaler K, Holman SW, Harman VM, Grant CM, Beynon RJ, Hubbard SJ. Quantitative analysis of chaperone network throughput in budding yeast (2012). [PUBMED][PDF] [Abstract...]