Eric B. Dammer is an Associate Bioinformatic Scientist who has worked in the Center for Neurodegenerative disease since 2008. He currently maintains and automates proteomics analysis pipelines using the R language, specializing in coexpression analysis and systems biology for -omics datasets. He has previously worked on the bench performing various biochemistry methods to identify and classify aggregation properties of proteins in neurodegeneration, to sort pure cell type nuclei from postmortem human tissue for downstream applications, and to image cells and tissues undergoing stress. Other interests include proteomics of post-translational modifications, including phosphorylation and ubiquitination, as well as histone modifications influencing epigenetics in neurodegeneration. As a graduate student at Georgia Tech beginning in 2005, Eric focused on molecular genetics of an orphan nuclear receptor involved in sex differentiation and required for transcription of steroid-producing enzymes, particularly cytochromes of the p450 class. He began his scientific career performing electrophysiology with a two-electrode voltage clamp to study the cystic fibrosis transmembrane conductance regulator (CFTR) anion channel structure in combination with alanine-scanning mutagenesis. Eric has co-authored 116 peer-reviewed publications as of January 2023.

Frontiers Profile (Loop): https://loop.frontiersin.org/people/30004/bio
Elsevier Profile (Scopus): https://www.scopus.com/authid/detail.uri?authorId=15070299500
Web of Science: https://www.webofscience.com/wos/author/record/1308837
NCBI Bibliography: https://www.ncbi.nlm.nih.gov/sites/myncbi/eric.dammer.1/bibliography/41167974/public/?sortby=pubDate&sdirection=descending