Laboratory of Biological Networks

Duke University

Department of Biomedical Engineering

Institute for Genome Sciences & Policy

University Program in Genetics & Genomics

Center for Biomolecular & Tissue Engineering


PI: Lingchong You (CV)

Assistant Professor

 

Contact:

CIEMAS 2345

101 Science Drive, Box 3382

Durham, NC 27708

Phone: 919 660 8408 (Office), 919 684 3566 (Lab)

FAX: 919 668 0795

Email: you (at) duke.edu

You Lab homepage

 

Selected awards and activities

o       DuPont Young Professor Award. 2008

o       David and Lucile Packard Fellowship. 2006

o       Invited speaker. Synthetic Biology Discussion Meeting (Sponsored by the Royal Society). June 2008. London, UK.

o       University of Wisconsin Alumnae speaker. Computational and Informatics in Biology and Medicine Program Annual Retreat. Madison, WI, October 2006

o       Invited speaker. Life Engineering Symposium (Sponsored by the National Academies). August 2005, SF, CA.

o       Marie Christine Kohler Knapp Fellow. University of Wisconsin-Madison. 2001¡V2002.

o       Editorial Board:

Synthetic Biology

Systems and Synthetic Biology

 

Open positions

We invite motivated individuals to join us in exciting research in synthetic and systems biology. Active projects include engineering of synthetic ecosystems, bacterial killer circuits and microbial swarmbots for therapeutic applications, analysis and reprogramming of mammalian cell cycle, and information processing by gene circuits.

o       Lab technician: A B.S. in biology or related fields, familiar with microbiology and molecular biology techniques, including but not limited to preparation of chemical and biological reagents, cloning, bacterial culturing, and use of typical lab equipment.

o       Postdoc: A Ph.D. in Microbiology, Genetics, Molecular Biology, Biochemical Engineering, or closely related fields.

If interested, send your CV to Lingchong You by email. Also arrange at least two recommendation letters. For a postdoc position, one letter should be from your current primary advisor.

Research

Research in my lab is at the interface of computation, engineering, and medicine. We apply engineering tools and principles, such as control theory, information theory, and reaction kinetics, to guide reprogramming of cellular behavior using synthetic gene circuits. In the long term, these synthetic gene circuits will find diverse applications, including novel systems for protein engineering, metabolic engineering, drug development, gene therapy, and stem cell reprogramming.

 

However, programming of predictable cellular behavior is challenging. Unlike typical engineered systems, cellular processes are intrinsically noisy. In each cell, gene expression is subject to stochastic fluctuations due to small numbers of interacting molecules, heterogeneity of intracellular environments, and extra-cellular perturbations. Presence of cellular noise raises two fundamental questions. First, how is nature able to assemble noisy, imperfect components into robust systems that accurately carry out their functions? Second, as bioengineers, how can we design synthetic gene circuits that will function reliably despite cellular noise?

 

My lab approaches these questions from two complementary perspectives. First, we combine mathematical modeling and experiments to analyze dynamics of natural signaling processes, including cell cycle regulation and cell-cell communication. Second, based on insights learnt from these natural systems, we design and construct synthetic gene circuits with well-defined functions. Implementation of these gene circuits will also enable us to probe biological design strategies in a well-defined framework, and to generate systems with applications in medicine and biotechnology. Specifically, we are pursuing three highly synergistic directions:

 

Programming bacterial population dynamics: These projects aim to engineer synthetic gene circuits that can precisely program bacterial growth, death, and aggregation in complex environments, with implications for therapeutic and biotechnology applications.

 

Cellular information processing: These projects aim to define characteristics of information processing in the presence of cellular noise. A long term goal is to engineer gene circuits to perform cell-based computation.

 

Analysis and reprogramming of mammalian cell cycle: These projects aim to analyze and perturb mammalian cell cycle regulation by modeling. Their will provide insight into development of strategies to reprogram and interfere with cell cycle regulation for cancer therapy.

 

 

News and profiles about our research

Synthetic predator-prey system (Eureka); Team Spirit (Science News); Engineering an Ecosystem (NIH Computing Life)(2008)

Bistable Rb-E2F switch (2008)

Student honored by Goldwater foundation (2008)

Packard award on studying cellular information processing  (2006) 

High school advisees won national prize (2006)

Synthetic killer circuits (2005)

Keck Futures Initiatives Grant on engineering microbial swarmbots  (2005)

Custom-Made Microbes, at Your Service (NY Times article) (2004)

 

Teaching

o       BME265 (2005-). Modeling Gene Expression and Cell Signaling

o       BME100 (2006-). Modeling cellular and molecular systems

 

Lab members

Postdoctoral associates (previous institution)

o       Hao Song (University of Texas at Houston Medical Center)

o       Jeff Wong (University of Toronto)

Graduate students (undergraduate institution)

o       Mark Hallen (Duke University; NDSEG Fellowship; JB Duke Fellowship)

o       Tae Jun Lee (Duke University)

o       Philippe Marguet (Cornel University); co-advised by Homme Hellinga

o       Anand Pai (U of Mumbai, India)

o       Stephen Payne (MIT; DHS Fellowship)

o       Chee Meng Tan (National University of Singapore; Metronic Fellowship)

o       Yu Tanouchi (Keio University, Japan; James McElhaney Fellowship)

Publications (feel free to contact me for PDF preprints or reprints)

2009

o       H. Song, S. Payne, M. Gray, and L. You (2009). Spatiotemporal modulation of biodiversity in a synthetic, chemical-mediated ecosystem (Under review).

o       C. Tan, P. Marguet, and L. You (2009). Emergent bistability by a growth-modulating positive feedback circuit (Under review).

o       A. Pai, Y. Tanouchi, C. Collins, and L. You (2009). Engineering multicellular behavior by cell-cell communication (Under review)

o       A. Pai and L. You (2009). Optimal tuning of bacterial sensing potential. Molecular Systems Biology. In press.

o       Y. Tanouchi, A. Pai, and L. You (2009). Decoding biological design principles using gene circuits (2009). Molecular BioSystems (Synthetic Biology Theme Issue).  DOI: 10.1039/b901584c

o       F. J. Isaacs, and L. You (2009). A brave new synthetic world (meeting report). Genome Biology. 10:302

o       Q. Wang, J. Niemi, C. Tan, L. You, and M. West (2009). Image segmentation and dynamic lineage analysis in single-cell fluorescence microscopy. Synthetic Biology. In press.

 

2008

o       C. Smith, H. Song, and L. You (2008). Signal discrimination by differential regulation of protein stability in quorum sensing. J. Molecular Biology. Published online

o       Y. Tanouchi, D. Tu, J. Kim, and L. You (2008). Noise reduction by diffusional dissipation in a minimal quorum sensing motif. PLoS Computational Biology. 4(8): e1000167. doi:10.1371/journal.pcbi.1000167

o       K. Brenner, L. You, and F. H. Arnold (2008). Engineering microbial consortia: a new frontier for synthetic biology. Trends in Biotechnology. 26: 483-489

o       F. Balagadde, H. Song, J. Ozaki, C. Collins, M. Barnet, F. H. Arnold, S. Quake, and L. You (2008). A synthetic Escherichia coli  predator-prey ecosystem. Molecular Systems Biology.  4:187.  Faculty of 1000 Biology, Must Read. 

o       G. Yao, T. Lee, S. Mori, J. Nevins#, and L. You# (2008). A bistable Rb-E2F switch underlies the restriction point. Nature Cell Biology. Published online. Faculty of 1000 Biology, Must Read. 

o       T. Lee, G. Yao, J. Nevins, and L. You (2008).  Sensing and integration of Erk and PI3K signals by Myc. PLoS Computational Biology. 4(2): e1000013. doi:10.1371/journal.pcbi.1000013

o       J. V. Wong, H. Song, and L. You (2008). A whole more than the sum of its synthetic parts (Point of View). ACS Chemical Biology. 3(1):27-9.

 

2007

o       C. Tan, F. Reza, and L. You. Noise-limited frequency signal transmission in gene circuits. Biophysical J. Published online (2007)

o       C. Tan, H. Song, J. Niemi, and L. You. A synthetic biology challenge: making cells compute. Molecular BioSystems. 3:343 (2007). 

o       P. Marguet, F. Balagadde, C. Tan, and L. You. Biology by design: reduction and synthesis of cellular components and behavior. J. Royal Society Interface. 4:607(2007)

o       D. Tu, J. Lee, T. Ozdere, T. Lee, and L. You. Engineering gene circuits: foundations and applications. In Nanotechnology in Biology and Medicine Methods, Devices and Applications, Ed. T. Vo-Dinh. CRC Press. Chapter 21. (2007)

o       T. Lee, C. M. Tan, D. Tu, and L. You. Modeling cellular networks. In Bioinformatics: An Engineering Case-Based Approach, Eds.  G. Alterovitz & M. Ramoni. Chapter 6. (2007).

 

2006

o       H. Song and L. You. Evolving Sensitivity (Point of View). ACS Chemical Biology. 1:681(2006).

o       L. You and J. Yin. (2006). Evolutionary design on a budget: robustness and optimality of bacteriophage T7. IEE. Systems Biology. 153:46-52.

 

2005

o       F. K. Balagadde *, L. You*, C. Hansen, F. H. Arnold and S. Quake. (2005). Long-term monitoring of bacteria undergoing programmed population control in a microchemostat, Science. 309: 137-140 (* contributed equally).  Faculty of 1000 Biology, Recommended.

 

2004 and before

o       L. You, R. S. Cox III, R. Weiss, and F. H. Arnold. (2004). Programmed population control by cell-cell communication and regulated killing. Nature.  428: 868-871. Featured in ScienceNow (405:3).

o       L. You, (2004) Towards computational systems biology. Cell Biochemistry and Biophysics. 40: 167-184

o       L. You, A. Hoonlor, and J. Yin. (2003) Modeling biological systems using Dynetica ¡V a simulator of dynamic networks. Bioinformatics. 19: 435-436. Click here to see more

o       L. You and J. Yin (2002). Dependence of epistasis on environment and mutation severity as revealed by in silico mutagenesis of phage T7. Genetics. 160: 1273-1281

o       L. You, P. F. Suthers, and J. Yin (2002). Effects of E. coli physiology on growth of phage T7 in vivo and in silico. J. Bacteriology. 184: 1888-1894. (Highlighted in Editors Choice of Science (2002), 296: 219)

o       R. Srivastava, L. You, J. Summers, and J. Yin (2002). Stochastic versus deterministic modeling of intracellular viral kinetics. J. Theor. Biol. 218: 309-321.

o       L. You and J. Yin (2001). Simulating the growth of viruses. Proceedings of the Pacific Symposium on Biocomputing: 532-543.

o       L. You and J. Yin (2000). Patterns of regulation from mRNA and protein time-series Metabolic Engineering. 2: 210-217.

o       D. Endy, L. You, J. Yin, and I. J. Molineux (2000). Computation, prediction, and experimental tests of fitness for bacteriophage T7 mutants with permuted genomes. Proc. Nat. Acad. Sci. USA. 97: 5375-5380.

o       L. You and J. Yin (1999). Amplification and spread of viruses in a growing plaque. J. Theor. Biol. 200(4): 365-373.

o       L. You, Q. Liu, Y. Shi, C. X. Wang, M. Lahaye, and V. Tran (1997). The conformational study of b-D-GlcA-(1,4)-L-Rha in solution by NMR and molecular dynamics simulations. Chemical Physics. 224: 81-94.