M
Matthew R. Incha
Researcher at University of California, Berkeley
Publications - 14
Citations - 202
Matthew R. Incha is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Pseudomonas putida & Metabolic engineering. The author has an hindex of 6, co-authored 12 publications receiving 118 citations. Previous affiliations of Matthew R. Incha include Joint BioEnergy Institute & Lawrence Berkeley National Laboratory.
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Journal ArticleDOI
Anaerobic production of medium-chain fatty alcohols via a β-reduction pathway.
TL;DR: The anaerobically induced VHb promoter from Vitreoscilla hemoglobin is linked to each gene to remove the need for chemical inducers and ensure robust expression and the highest performing strain with the autoinduced reverse β-oxidation pathway produced n-alcohols at titers of 1.8 g/L.
Journal ArticleDOI
Fatty Acid and Alcohol Metabolism in Pseudomonas putida: Functional Analysis Using Random Barcode Transposon Sequencing.
Mitchell G. Thompson,Matthew R. Incha,Matthew R. Incha,Matthew R. Incha,Allison N. Pearson,Allison N. Pearson,Allison N. Pearson,M. Schmidt,M. Schmidt,M. Schmidt,William A. Sharpless,William A. Sharpless,Christopher B. Eiben,Christopher B. Eiben,Christopher B. Eiben,Pablo Cruz-Morales,Pablo Cruz-Morales,Pablo Cruz-Morales,Jacquelyn M. Blake-Hedges,Jacquelyn M. Blake-Hedges,Jacquelyn M. Blake-Hedges,Yuzhong Liu,Yuzhong Liu,Catharine A. Adams,Robert W. Haushalter,Robert W. Haushalter,Rohith N. Krishna,Rohith N. Krishna,Patrick Lichtner,Patrick Lichtner,Lars M. Blank,Aindrila Mukhopadhyay,Aindrila Mukhopadhyay,Adam M. Deutschbauer,Patrick M. Shih,Jay D. Keasling +35 more
TL;DR: Functional evidence for the putative roles of hundreds of genes involved in the fatty acid and alcohol metabolism of the Pseudomonas putida bacterium is provided, providing a framework facilitating precise genetic changes to prevent product degradation and to channel the flux of specific pathway intermediates as desired.
Journal ArticleDOI
Leveraging host metabolism for bisdemethoxycurcumin production in Pseudomonas putida.
Matthew R. Incha,Matthew R. Incha,Matthew R. Incha,Mitchell G. Thompson,Mitchell G. Thompson,Mitchell G. Thompson,Jacquelyn M. Blake-Hedges,Jacquelyn M. Blake-Hedges,Jacquelyn M. Blake-Hedges,Yuzhong Liu,Yuzhong Liu,Allison N. Pearson,Allison N. Pearson,M. Schmidt,M. Schmidt,Jennifer W. Gin,Jennifer W. Gin,Christopher J. Petzold,Christopher J. Petzold,Adam M. Deutschbauer,Adam M. Deutschbauer,Jay D. Keasling +21 more
TL;DR: It is identified that accumulation of coumaroyl-CoA in this pathway results in extended growth lag times in P. putida, and deletion of the second step in coumarate catabolism resulted in increased production of the type III polyketide bisdemethoxycurcumin.
Journal ArticleDOI
Identification, Characterization, and Application of a Highly Sensitive Lactam Biosensor from Pseudomonas putida.
Mitchell G. Thompson,Mitchell G. Thompson,Mitchell G. Thompson,Allison N. Pearson,Allison N. Pearson,Jesus F. Barajas,Pablo Cruz-Morales,Pablo Cruz-Morales,Pablo Cruz-Morales,Nima Sedaghatian,Nima Sedaghatian,Zak Costello,Zak Costello,Megan E. Garber,Megan E. Garber,Megan E. Garber,Matthew R. Incha,Matthew R. Incha,Matthew R. Incha,Luis E. Valencia,Luis E. Valencia,Luis E. Valencia,Edward E. K. Baidoo,Edward E. K. Baidoo,Hector Garcia Martin,Aindrila Mukhopadhyay,Aindrila Mukhopadhyay,Aindrila Mukhopadhyay,Jay D. Keasling +28 more
TL;DR: A highly sensitive biosensor for valerolactam and caprolactam from Pseudomonas putida KT2440 which is >1000x more sensitive to exogenous ligand than previously reported sensors is reported which is a powerful tool towards the development of novel routes to the biological synthesis of caprolACTam.
Journal ArticleDOI
Robust Characterization of Two Distinct Glutarate Sensing Transcription Factors of Pseudomonas putida l-Lysine Metabolism.
Mitchell G. Thompson,Mitchell G. Thompson,Mitchell G. Thompson,Zak Costello,Zak Costello,Niklas F. C. Hummel,Niklas F. C. Hummel,Pablo Cruz-Morales,Pablo Cruz-Morales,Pablo Cruz-Morales,Jacquelyn M. Blake-Hedges,Jacquelyn M. Blake-Hedges,Jacquelyn M. Blake-Hedges,Rohith N. Krishna,Rohith N. Krishna,Rohith N. Krishna,Will Skyrud,Allison N. Pearson,Allison N. Pearson,Matthew R. Incha,Matthew R. Incha,Matthew R. Incha,Patrick M. Shih,Patrick M. Shih,Hector Garcia-Martin,Jay D. Keasling +25 more
TL;DR: A novel mathematical approach is developed to describe the usable range of detection for genetically encoded biosensors, which may be broadly useful in future efforts to better characterize biosensor performance.