Author

Daniel A Pollard

Western Washington UniversityORCID 0000-0002-9994-2991Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Research Focus:differential expression· 3 Approach:statistical model· 3 Organism:yeast· 3 Assay:bulk RNA-seq· 2 Research Focus:benchmarking· 1 Research Focus:gene regulatory network inference· 1 Assay:protein sequence· 1 Assay:proteomics· 1

Frequent Co-Authors

Scott A. RifkiniD· 2 shared Anastacia Wienecke· 1 shared Austin S. Abendroth· 1 shared Ciara K. AsamotoiD· 1 shared Gennifer E. MerrihewiD· 1 shared Homa RahnamouniD· 1 shared Jarrett D. EgertsoniD· 1 shared Margaret L. BarryiD· 1 shared

Activity by Year

2016-2023 · peak 1/yr

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10 top collaborators · 17 mutual co-author links

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2 shared papersGenomics

Scott A. RifkinORCID

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3 papers

Recent·Most cited

Natural variation in codon bias and mRNA folding strength interact synergistically to modify protein expression in Saccharomyces cerevisiae

Anastacia Wienecke, Margaret L. Barry, Daniel A Pollard

The paper examines how codon bias and mRNA folding strength interact to affect protein expression in yeast using genomic, transcriptomic, and proteomic data.

Genetics · Jun 13, 2023Peer-reviewedGenetics

A simple mass-action model predicts genome-wide protein timecourses from mRNA trajectories during a dynamic response in two strains of S. cerevisiae

Sidney Kuo, Jarrett D. Egertson, Gennifer E. Merrihew, Michael J. MacCoss, Daniel A Pollard, Scott A. Rifkin

The paper shows that protein timecourses in yeast can be predicted from mRNA trajectories using a gene-specific model, revealing strain-specific differences in post-translational processes.

bioRxiv · Oct 27, 2019 · PreprintGenomics

Natural Genetic Variation Modifies Gene Expression Dynamics at the Protein Level During Pheromone Response in Saccharomyces cerevisiae

Daniel A Pollard, Ciara K. Asamoto, Homa Rahnamoun, Austin S. Abendroth, Suzanne Rebecca Lee, Scott A. Rifkin

The paper examines how genetic variation affects protein expression dynamics during pheromone response in yeast, showing that steady-state analysis is insufficient and that dynamic factors like synthesis and decay rates play key roles.

bioRxiv · Nov 29, 2016 · PreprintGenetics