Science Center, A136
Personal Office Hours:
Spring 2016: Mon. 10-11, Weds. 1:30-3
- Bachelor of Arts, Swarthmore College, 2003
- Doctor of Philosophy, University of Washington, 2010
- Postdoctoral Fellow, Princeton University, 2010-2013
The Goldman lab studies protein and proteome evolution with a special focus on early cellular life and the emergence of ancient metabolic systems. The evolutionary tree of life coalesces into a single root representing an ancestral population that lived about 3.5 billion years ago. Many features of these ancestors are still buried within the genomes of organisms alive today. Evolution over billions of years has obscured the ancient signature of most of these features, making them difficult to identify.
Our lab takes advantage of the tremendous growth in genomic and proteomic data to find these ancient genes and reassemble them into metabolic and physiological systems. Much of this work begins with our database (http://eeb.princeton.edu/lucapedia/), which brings multiple independent lines of evidence together into a single framework. We develop complex algorithms and use a range of computational biology methods to identify ancient genes and test hypotheses about early evolutionary history.
Goldman AD, Bernhard TM, Dolzhenko E, Landweber LF (2013) LUCApedia: a database for the study of ancient life. Nucleic Acids Research, 41:1079-1082
Goldman AD, Landweber LF (2012) Oxytricha as a modern analog of ancient genome evolution. Trends in Genetics, 28:382-388
Goldman AD, Baross JA, Samudrala R (2012) The enzymatic and metabolic capabilities of early life. PLoS One, 7:e39912
Goldman AD, Horst JA, Hung L-H, Samudrala R (2012) Evolution of the Protein Repertoire. Systems Biology, R Meyers, Editor. (pp. 207-237). Wienheim, Germany: Wiley-VCH.
Goldman AD, Samudrala R, Baross JA (2010). The evolution and functional repertoire of translation proteins following the origin of life. Biology Direct, 5:15.
- BIOL213Molec Bio, Cell, Biochem Fall2015 Goldman.pdf
- BIOL407 Origin of Life Fall2015.pdf
- Bio 336 Genomics AG Spring 2016.pdf