
Drew Endy
VerifiedStanford University · International Security Studies
Active 1994–2024
Research topics
- Biology
- Computational biology
- Computer Science
- Genetics
- Ecology
- Waste management
- Environmental science
- Process engineering
- Pulp and paper industry
- Medicine
- Virology
- Biotechnology
- Biochemical engineering
- Engineering
Selected publications
Enabling community-based metrology for wood-degrading fungi
Fungal Biology and Biotechnology · 2020 · 12 citations
Senior authorCorresponding- Computer Science
- Process engineering
- Biochemical engineering
BACKGROUND: Lignocellulosic biomass could support a greatly-expanded bioeconomy. Current strategies for using biomass typically rely on single-cell organisms and extensive ancillary equipment to produce precursors for downstream manufacturing processes. Alternative forms of bioproduction based on solid-state fermentation and wood-degrading fungi could enable more direct means of manufacture. However, basic methods for cultivating wood-degrading fungi are often ad hoc and not readily reproducible. Here, we developed standard reference strains, substrates, measurements, and methods sufficient to begin to enable reliable reuse of mycological materials and products in simple laboratory settings. RESULTS: We show that a widely-available and globally-regularized consumer product (Pringles™) can support the growth of wood-degrading fungi, and that growth on Pringles™-broth can be correlated with growth on media made from a fully-traceable and compositionally characterized substrate (National Institute of Standards and Technology Reference Material 8492 Eastern Cottonwood Whole Biomass Feedstock). We also establish a Relative Extension Unit (REU) framework that is designed to reduce variation in quantification of radial growth measurements. So enabled, we demonstrate that five laboratories were able to compare measurements of wood-fungus performance via a simple radial extension growth rate assay, and that our REU-based approach reduced variation in reported measurements by up to ~ 75%. CONCLUSIONS: Reliable reuse of materials, measures, and methods is necessary to enable distributed bioproduction processes that can be adopted at all scales, from local to industrial. Our community-based measurement methods incentivize practitioners to coordinate the reuse of standard materials, methods, strains, and to share information supporting work with wood-degrading fungi.
Development of CRISPR as an Antiviral Strategy to Combat SARS-CoV-2 and Influenza
Cell · 2020 · 501 citations
- Biology
- Virology
- Computational biology
Permutational analysis of Saccharomyces cerevisiae regulatory elements
Synthetic Biology · 2020 · 13 citations
- Computational biology
- Biology
- Genetics
is regulated at multiple levels. Genomic and epigenomic mapping of transcription factors and chromatin factors has led to the delineation of various modular regulatory elements-enhancers (upstream activating sequences), core promoters, 5' untranslated regions (5' UTRs) and transcription terminators/3' untranslated regions (3' UTRs). However, only a few of these elements have been tested in combinations with other elements and the functional interactions between the different modular regulatory elements remain under explored. We describe a simple and rapid approach to build a combinatorial library of regulatory elements and have used this library to study 26 different enhancers, core promoters, 5' UTRs and transcription terminators/3' UTRs to estimate the contribution of individual regulatory parts in gene expression. Our combinatorial analysis shows that while enhancers initiate gene expression, core promoters modulate the levels of enhancer-mediated expression and can positively or negatively affect expression from even the strongest enhancers. Principal component analysis (PCA) indicates that enhancer and promoter function can be explained by a single principal component while UTR function involves multiple functional components. The PCA also highlights outliers and suggest differences in mechanisms of regulation by individual elements. Our data also identify numerous regulatory cassettes composed of different individual regulatory elements that exhibit equivalent gene expression levels. These data thus provide a catalog of elements that could in future be used in the design of synthetic regulatory circuits.
Recent grants
NIH · $1.1M · 2011
NSF · $99k · 2019–2023
Data-Rich Strategies for Programming Ligand-Responsive RNA Regulatory Systems
NIH · $332k · 2009–2025
Frequent coauthors
- 16 shared
Alistair Elfick
University of Edinburgh
- 15 shared
Pablo Schyfter
University of Edinburgh
- 15 shared
Alexandra Daisy Ginsberg
- 15 shared
Jane Calvert
- 10 shared
Paul R. Jaschke
ARC Centre of Excellence in Synthetic Biology
- 9 shared
Akshay J. Maheshwari
Stanford University
- 9 shared
George M. Church
Harvard–MIT Division of Health Sciences and Technology
- 9 shared
Adam P. Arkin
University of California, Berkeley
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