Vanderbilt University School of Medicine

Neuert, Gregor , Ph.D.
Assistant Professor of Molecular Physiology and Biophysics
Assistant Professor of Pharmacology
Assistant Professor of Biomedical Engineering

Lab Url:

Phone Number: 615-343-6404


Neuert, Gregor's picture

Office Address   Mailing Address

813C Light Hall

813C light Hall 37232-0615

Research Keywords
Autoimmune disease, Biophysics, Cancer, Cell differentiation, Computational biology, Computational modeling, Evolution, Flow cytometry, Gene regulation, Genomics, Image processing, Immunology, non-coding RNA, Mass spectrometry, Molecular biology, Neurodegenerative disease, Neuroinflammation, Proteomics, Quantitative biology, Microscopy, Pharmacology, Regeneration, Single cells, Single molecule biophysics, Stem cells, Systems biology, Signal transduction, Transcription, Yeast genetics.,Cancer,Chromatin,Developmental biology,Drosophila,Heart,Immunology,Kinase,Mass spectroscopy,Molecular medicine,Mouse,Mutation,Neuroscience,Pharmacokinetics,Pharmacology,Phosphorylation,Proteomics,Signal transduction,Stem cells,Transcription,Yeast

Research Specialty
Quantitative Systems Biology of signal transduction and gene regulation of coding and non-coding RNA

Research Description
A current molecular medicine topic of interest is how cells respond dynamically to changes in their environment utilizing their cellular gene, RNA and protein networks. We aim to approach this question by investigating endogenous signal transduction and transcriptional regulatory networks of coding and non-coding RNA in yeast and mammalian cells. Yeast is an ideal model organism for studying these questions because it can be easily manipulated genetically and many biological principles are conserved in humans. The regulatory principles discovered in yeast will then be tested in healthy and diseased mammalian tissue to test their generality. We aim to investigate the architecture and functioning of these networks by measuring the dynamics of protein and RNA levels in single cells. Our research methods include a combination of single-cell techniques such as flow cytometry, live cell time-lapse microscopy, fluorescent in-situ hybridization with single-molecule resolution at the RNA level (single-molecule RNA-FISH) in cells and tissue samples as well as single-molecule-based modeling. The main advantage to quantify single cells is to distinguish between different regulatory mechanisms, which cannot be observed in population-based experiments. Since our approach is general, it can lead to similar quantitative understanding of many genes, pathways or organisms ranging from yeast to human.

Neuert, G, Munsky, B, Tan, RZ, Teytelman, L, Khammash, M, van Oudenaarden, A. Systematic Identification of Signal-Activated Stochastic Gene Regulation. Science, 339(6119), 584-587, 2013.

Bumgarner, SL, Neuert, G, Voight, BF, Symbor-Nagrabska, A, Grisafi, P, van Oudenaarden, A, Fink, GR. Single-cell analysis reveals that noncoding RNAs contribute to clonal heterogeneity by modulating transcription factor recruitment. Mol Cell, 45(4), 470-82, 2012.

Munsky, B, Neuert, G, van Oudenaarden, A. Using gene expression noise to understand gene regulation. Science, 336(6078), 183-7, 2012.

van Werven, FJ, Neuert, G, Hendrick, N, Lardenois, A, Buratowski, S, van Oudenaarden, A, Primig, M, Amon, A. Transcription of Two Long Noncoding RNAs Mediates Mating-Type Control of Gametogenesis in Budding Yeast. Cell, 150(6), 1170-1181, 2012.

Zimmermann, JL, Nicolaus, T, Neuert, G, Blank, K. Thiol-based, site-specific and covalent immobilization of biomolecules for single-molecule experiments. Nat Protoc, 5(6), 975-85, 2010.

Postdoctoral Position Available

Postdoctoral Position Details
We are seeking highly motivated, driven and curious recent graduates (not more then 2 years of postdoctoral training) with programing experience in Matlab, Python or R and with a strong background, proven record (first author publications) and rigorous training in one or more of the following areas: biophysics, cancer biology, computational biology, computational modeling, control and dynamical systems theory, immunology, neuroscience, pharmacology, single molecule biophysics, systems biology or yeast genetics.

Please send an email with your CV, contact addresses of three references and a short description why you are interested in joining the lab. Applicants are encouraged to apply for individual postdoctoral fellowships.

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