Drew Endy

Last updated
Drew Endy
Drew Endy in 2009.jpg
Born1970 (age 5354)
Alma mater Dartmouth College
Spouse Christina Smolke [1]
Scientific career
Fields Synthetic biology
Institutions Stanford University
Massachusetts Institute of Technology
Dartmouth College
Thesis Development and application of a genetically-structured simulation for bacteriophage T7  (1997)
Doctoral advisor John Yin [2]
Website openwetware.org/wiki/Endy_Lab
engineering.stanford.edu/profile/endy

Andrew (Drew) David Endy (born 1970) is a synthetic biologist and tenured associate professor of bioengineering at Stanford University, California. [3] [4] [5] [6] [7] [8] [9]

Contents

Education

Endy received his PhD from Dartmouth College in 1997 for his work on genetic engineering using T7 phage. [10]

Career

Endy was a junior fellow for three years and later an Assistant Professor of Biological Engineering at the Massachusetts Institute of Technology (2002–2008). In 2008, Endy moved to Stanford University, where he currently serves as an Associate Professor of Bioengineering. [11] [12]

Research

With Thomas Knight, [13] Gerald Jay Sussman, Randy Rettberg, and others at MIT, Endy worked on synthetic biology and the engineering of standardized biological components, devices, and parts, collectively known as BioBricks. [14] Endy is one of several founders of the Registry of Standard Biological Parts, and invented an abstraction hierarchy for integrated genetic systems.

Endy has been one of the early promoters of open source biology, [15] and helped start the Biobricks Foundation, a not-for-profit organization that will work to support open-source biology. He was also a co-founder of the now defunct Codon Devices, a biotechnology startup company that aimed to commercialize synthetic biology. [16]

In 2009, Michael Specter called Endy "synthetic biology’s most compelling evangelist" in his book Denialism: How Irrational Thinking Hinders Scientific Progress, Harms the Planet, and Threatens Our Lives, [17] as Endy is persistent in discussing both the prospects and dangers of synthetic biology.

Endy headed a team of researchers that in March 2013 created the biological equivalent of a transistor, which they dubbed a "transcriptor". The invention was the final of the three components necessary to build a fully functional biocomputer: data storage, information transmission, and a basic system of logic. [18]

Endy is a founder and steering group member of the Build-a-Cell Initiative, an international collaboration investigating creation of synthetic live cells. [19]

Related Research Articles

<span class="mw-page-title-main">Synthetic biology</span> Interdisciplinary branch of biology and engineering

Synthetic biology (SynBio) is a multidisciplinary field of science that focuses on living systems and organisms, and it applies engineering principles to develop new biological parts, devices, and systems or to redesign existing systems found in nature.

Xenobiology (XB) is a subfield of synthetic biology, the study of synthesizing and manipulating biological devices and systems. The name "xenobiology" derives from the Greek word xenos, which means "stranger, alien". Xenobiology is a form of biology that is not (yet) familiar to science and is not found in nature. In practice, it describes novel biological systems and biochemistries that differ from the canonical DNA–RNA-20 amino acid system. For example, instead of DNA or RNA, XB explores nucleic acid analogues, termed xeno nucleic acid (XNA) as information carriers. It also focuses on an expanded genetic code and the incorporation of non-proteinogenic amino acids, or “xeno amino acids” into proteins.

<span class="mw-page-title-main">Recombinant DNA</span> DNA molecules formed by human agency at a molecular level generating novel DNA sequences

Recombinant DNA (rDNA) molecules are DNA molecules formed by laboratory methods of genetic recombination that bring together genetic material from multiple sources, creating sequences that would not otherwise be found in the genome.

Modelling biological systems is a significant task of systems biology and mathematical biology. Computational systems biology aims to develop and use efficient algorithms, data structures, visualization and communication tools with the goal of computer modelling of biological systems. It involves the use of computer simulations of biological systems, including cellular subsystems, to both analyze and visualize the complex connections of these cellular processes.

<span class="mw-page-title-main">T7 phage</span> Species of virus

Bacteriophage T7 is a bacteriophage, a virus that infects bacteria. It infects most strains of Escherichia coli and relies on these hosts to propagate. Bacteriophage T7 has a lytic life cycle, meaning that it destroys the cell it infects. It also possesses several properties that make it an ideal phage for experimentation: its purification and concentration have produced consistent values in chemical analyses; it can be rendered noninfectious by exposure to UV light; and it can be used in phage display to clone RNA binding proteins.

<span class="mw-page-title-main">T7 RNA polymerase</span> Class of enzymes

T7 RNA Polymerase is an RNA polymerase from the T7 bacteriophage that catalyzes the formation of RNA from DNA in the 5'→ 3' direction.

<span class="mw-page-title-main">James J. Collins</span> American bioengineer

James Joseph Collins is an American biomedical engineer and bioengineer who serves as the Termeer Professor of Medical Engineering & Science at the Massachusetts Institute of Technology (MIT), where he is also a director at the MIT Abdul Latif Jameel Clinic for Machine Learning in Health.

<span class="mw-page-title-main">BioBrick</span> Standard for components used in DNA synthesis

BioBrick parts are DNA sequences which conform to a restriction-enzyme assembly standard. These building blocks are used to design and assemble larger synthetic biological circuits from individual parts and combinations of parts with defined functions, which would then be incorporated into living cells such as Escherichia coli cells to construct new biological systems. Examples of BioBrick parts include promoters, ribosomal binding sites (RBS), coding sequences and terminators.

Artificial gene synthesis, or simply gene synthesis, refers to a group of methods that are used in synthetic biology to construct and assemble genes from nucleotides de novo. Unlike DNA synthesis in living cells, artificial gene synthesis does not require template DNA, allowing virtually any DNA sequence to be synthesized in the laboratory. It comprises two main steps, the first of which is solid-phase DNA synthesis, sometimes known as DNA printing. This produces oligonucleotide fragments that are generally under 200 base pairs. The second step then involves connecting these oligonucleotide fragments using various DNA assembly methods. Because artificial gene synthesis does not require template DNA, it is theoretically possible to make a completely synthetic DNA molecule with no limits on the nucleotide sequence or size.

<span class="mw-page-title-main">Christopher Voigt</span> American bioengineer

Christopher Voigt is an American synthetic biologist, molecular biophysicist, and engineer.

<span class="mw-page-title-main">Expanded genetic code</span> Modified genetic code

An expanded genetic code is an artificially modified genetic code in which one or more specific codons have been re-allocated to encode an amino acid that is not among the 22 common naturally-encoded proteinogenic amino acids.

Michael B. Elowitz is a biologist and professor of Biology, Bioengineering, and Applied Physics at the California Institute of Technology, and investigator at the Howard Hughes Medical Institute. In 2007 he was the recipient of the Genius grant, better known as the MacArthur Fellows Program for the design of a synthetic gene regulatory network, the Repressilator, which helped initiate the field of synthetic biology. He was the first to show how inherently random effects, or 'noise', in gene expression could be detected and quantified in living cells, leading to a growing recognition of the many roles that noise plays in living cells. His work in Synthetic Biology and Noise represent two foundations of the field of Systems Biology. Since then, his laboratory has contributed to the development of synthetic biological circuits that perform a range of functions inside cells, and revealed biological circuit design principles underlying epigenetic memory, cell fate control, cell-cell communication, and multicellular behaviors.

<span class="mw-page-title-main">Synthetic biological circuit</span>

Synthetic biological circuits are an application of synthetic biology where biological parts inside a cell are designed to perform logical functions mimicking those observed in electronic circuits. Typically, these circuits are categorized as either genetic circuits, RNA circuits, or protein circuits, depending on the types of biomolecule that interact to create the circuit's behavior. The applications of all three types of circuit range from simply inducing production to adding a measurable element, like green fluorescent protein, to an existing natural biological circuit, to implementing completely new systems of many parts.

A transcriptor is a transistor-like device composed of DNA and RNA rather than a semiconducting material such as silicon. Prior to its invention in 2013, the transcriptor was considered an important component to build biological computers.

<span class="mw-page-title-main">Roger Brent</span> American biologist

Roger Brent is an American biologist known for his work on gene regulation and systems biology. He studies the quantitative behaviors of cell signaling systems and the origins and consequences of variation in them. He is Full Member in the Division of Basic Sciences at the Fred Hutchinson Cancer Research Center and an Affiliate Professor of Genome Sciences at the University of Washington.

<span class="mw-page-title-main">Christina Smolke</span> American biologist

Christina Smolke is an American synthetic biologist whose primary research is in the use of yeast to produce opioids for medical use. She is a Full Professor of Bioengineering and of Chemical Engineering at Stanford University. She is the editor of The metabolic pathway engineering handbook (2010). She is an advisory board member for Integrative Biology.

Matthias Lutolf is a bio-engineer and a professor at EPFL where he leads the Laboratory of Stem Cell Bioengineering. He is specialised in biomaterials, and in combining stem cell biology and engineering to develop improved organoid models. In 2021, he became the scientific director for Roche's Institute for Translation Bioengineering in Basel.

Michael Z. Lin is a Taiwanese-American biochemist and bioengineer. He is an Associate Professor of Neurobiology and Bioengineering at Stanford University. He is best known for his work on engineering optically and chemically controllable proteins.

<span class="mw-page-title-main">Gene regulatory circuit</span> Functional clusters of genes

Genetic regulatory circuits is a concept that evolved from the Operon Model discovered by François Jacob and Jacques Monod. They are functional clusters of genes that impact each other's expression through inducible transcription factors and cis-regulatory elements.

<span class="mw-page-title-main">Cell engineering</span>

Cell engineering is the purposeful process of adding, deleting, or modifying genetic sequences in living cells to achieve biological engineering goals such as altering cell production, changing cell growth and proliferation requirements, adding or removing cell functions, and many more. Cell engineering often makes use of DNA technology to achieve these modifications as well as closely related tissue engineering methods. Cell engineering can be characterized as an intermediary level in the increasingly specific disciplines of biological engineering which includes organ engineering, tissue engineering, protein engineering, and genetic engineering.

References

  1. "365 days: Nature's 10". Nature. 528 (7583): 459–467. 2015. Bibcode:2015Natur.528..459.. doi: 10.1038/528459a . PMID   26701036.
  2. Endy, D.; Kong, D.; Yin, J. (1997). "Intracellular kinetics of a growing virus: A genetically structured simulation for bacteriophage T7". Biotechnology and Bioengineering. 55 (2): 375–389. doi:10.1002/(SICI)1097-0290(19970720)55:2<375::AID-BIT15>3.0.CO;2-G. PMID   18636496.
  3. Endy, D. (2005). "Foundations for engineering biology". Nature. 438 (7067): 449–453. Bibcode:2005Natur.438..449E. doi:10.1038/nature04342. PMID   16306983. S2CID   1436520.
  4. Colman-Lerner, A.; Gordon, A.; Serra, E.; Chin, T.; Resnekov, O.; Endy, D.; Gustavo Pesce, C.; Brent, R. (2005). "Regulated cell-to-cell variation in a cell-fate decision system". Nature. 437 (7059): 699–706. Bibcode:2005Natur.437..699C. doi:10.1038/nature03998. PMID   16170311. S2CID   4398874.
  5. Endy, D.; Yaffe, M. B. (2003). "Signal transduction: Molecular monogamy". Nature. 426 (6967): 614–615. Bibcode:2003Natur.426..614E. doi: 10.1038/426614a . PMID   14668845.
  6. Endy, D.; Brent, R. (2001). "Modelling cellular behaviour". Nature. 409 (6818): 391–395. Bibcode:2001Natur.409..391E. doi: 10.1038/35053181 . PMID   11201753.
  7. Drew Endy publications indexed by Microsoft Academic
  8. Drew Endy at DBLP Bibliography Server OOjs UI icon edit-ltr-progressive.svg
  9. Canton, B.; Labno, A.; Endy, D. (2008). "Refinement and standardization of synthetic biological parts and devices". Nature Biotechnology. 26 (7): 787–793. doi:10.1038/nbt1413. PMID   18612302. S2CID   19797363.
  10. Endy, Andrew David (1997). Development and application of a genetically-structured simulation for bacteriophage T7 (PhD thesis). Dartmouth College. ProQuest   304348966.
  11. "Stanford Engineering: Drew Endy". Stanford.edu. Retrieved 1 December 2021.
  12. Platoni, Kara. "Assembly Required". Stanfordmag.org. Stanford Magazine. Retrieved 1 December 2021.
  13. Shetty, R. P.; Endy, D.; Knight, T. F. (2008). "Engineering BioBrick vectors from BioBrick parts". Journal of Biological Engineering. 2: 5. doi: 10.1186/1754-1611-2-5 . PMC   2373286 . PMID   18410688.
  14. From the cells up, The Guardian , 10 March 2005
  15. Lohr, Steve (November 23, 2021). "Can Synthetic Biology Save Us? This Scientist Thinks So". New York Times. Retrieved 1 December 2021.
  16. Check Hayden, Erika; Ledford, Heidi (April 16, 2009). "A synthetic-biology reality check" (PDF). Nature. No. 458. Retrieved 1 December 2021.
  17. Specter, Michael (2009). Denialsim How Irrational Thinking Hinders Scientific Progress, Harms the Planet, and Threatens Our Lives . Penguin Group. pp.  242–253. ISBN   978-1-59420-230-8.
  18. Robert T. Gonzalez (March 29, 2013). "This new discovery will finally allow us to build biological computers". IO9. Retrieved March 29, 2013.
  19. "Build-a-Cell" . Retrieved 4 Dec 2020.