Metabolic Engineering 28 (2015) 123–133 Contents lists available at ScienceDirect Metabolic Engineering journal homepage: www.elsevier.com/locate/ymben Principal component analysis of proteomics (PCAP) as a tool to direct metabolic engineering a,b a,b a,b a,b,c Jorge Alonso-Gutierrez , Eun-Mi Kim , Tanveer S. Batth , Nathan Cho , a,b,d a,b a,b a,b Qijun Hu , Leanne Jade G. Chan , Christopher J. Petzold , Nathan J. Hillson , a,b,d a,b,d,e a,b,n a,b,nn Paul D. Adams , Jay D. Keasling , Hector Garcia Martin , Taek Soon Lee Joint BioEnergy Institute, 5885 Hollis Street, Emeryville, CA 94608, USA Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA Department of Chemical and Biomolecular Engineering, University of California, Los Angeles, CA 90095, USA Department of Bioengineering, University of California, Berkeley, CA 94720, USA Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA 94720, USA a r ti cle in fo abstract Article history: Targeted proteomics is a convenient method determining enzyme expression levels, but a quantitative Received 20 May 2014 analysis of these proteomic data has not been fully explored yet. Here, we present and demonstrate a Received in revised form computational tool (principal component analysis of proteomics, PCAP) that uses
Metabolic Engineering – Elsevier
Published: Mar 1, 2015
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