A hallmark of life is organisms’ ability to sense and respond to internal and external signals. Our research interests focus on quantitative and predictive understanding of dynamics in signal transduction and regulation of the coding and the noncoding genome related to human health. We are using a cross-disciplinary approach of biology, physics, engineering and computer science by combining quantitative single-molecule experiments in individual cells with genetics and computational biology. Results from this quantitative systems biology research will help to answer key questions in signal transduction and gene regulation of healthy and diseased tissue, and will significantly deepen our understanding of fundamental biophysical and molecular principles in various research fields.

Current research areas are:

1. To develop physiologically relevant cell perturbations to understand biological systems.

2. To understand the function of the noncoding genome.

3. To revolutionize model predictions in human health.​​


The following timeline graph is generated from all co-authored publications.

Featured publications are shown below:

  1. Finite state projection based bounds to compare chemical master equation models using single-cell data. Fox Z, Neuert G, Munsky B (2016) J Chem Phys 145(7): 074101
    › Primary publication · 27544081 (PubMed) · PMC4991991 (PubMed Central)
  2. From analog to digital models of gene regulation. Munsky B, Neuert G (2015) Phys Biol 12(4): 045004
    › Primary publication · 26086470 (PubMed) · PMC4591055 (PubMed Central)
  3. Integrating single-molecule experiments and discrete stochastic models to understand heterogeneous gene transcription dynamics. Munsky B, Fox Z, Neuert G (2015) Methods : 12-21
    › Primary publication · 26079925 (PubMed) · PMC4537808 (PubMed Central)
  4. Systematic identification of signal-activated stochastic gene regulation. Neuert G, Munsky B, Tan RZ, Teytelman L, Khammash M, van Oudenaarden A (2013) Science 339(6119): 584-7
    › Primary publication · 23372015 (PubMed) · PMC3751578 (PubMed Central)
  5. Transcription of two long noncoding RNAs mediates mating-type control of gametogenesis in budding yeast. van Werven FJ, Neuert G, Hendrick N, Lardenois A, Buratowski S, van Oudenaarden A, Primig M, Amon A (2012) Cell 150(6): 1170-81
    › Primary publication · 22959267 (PubMed) · PMC3472370 (PubMed Central)
  6. Using gene expression noise to understand gene regulation. Munsky B, Neuert G, van Oudenaarden A (2012) Science 336(6078): 183-7
    › Primary publication · 22499939 (PubMed) · PMC3358231 (PubMed Central)
  7. Single-cell analysis reveals that noncoding RNAs contribute to clonal heterogeneity by modulating transcription factor recruitment. Bumgarner SL, Neuert G, Voight BF, Symbor-Nagrabska A, Grisafi P, van Oudenaarden A, Fink GR (2012) Mol Cell 45(4): 470-82
    › Primary publication · 22264825 (PubMed) · PMC3288511 (PubMed Central)
  8. Thiol-based, site-specific and covalent immobilization of biomolecules for single-molecule experiments. Zimmermann JL, Nicolaus T, Neuert G, Blank K (2010) Nat Protoc 5(6): 975-85
    › Primary publication · 20448543 (PubMed)
  9. Molecular force balance measurements reveal that double-stranded DNA unbinds under force in rate-dependent pathways. Albrecht CH, Neuert G, Lugmaier RA, Gaub HE (2008) Biophys J 94(12): 4766-74
    › Primary publication · 18339733 (PubMed) · PMC2397355 (PubMed Central)
  10. Predicting the rupture probabilities of molecular bonds in series. Neuert G, Albrecht CH, Gaub HE (2007) Biophys J 93(4): 1215-23
    › Primary publication · 17468164 (PubMed) · PMC1929050 (PubMed Central)
  11. Dynamic force spectroscopy of the digoxigenin-antibody complex. Neuert G, Albrecht C, Pamir E, Gaub HE (2006) FEBS Lett 580(2): 505-9
    › Primary publication · 16388805 (PubMed)