Many human diseases are caused by cellular and molecular changes in signal transduction and gene regulatory pathways as a consequence of kinetic exposure of humans to harmful environmental conditions. However, when we try to understand molecular alternations that appear in disease cells, almost all biological studies today are performed in environments that are constant over time and may not represent physiologically relevant conditions. In addition, even within a group of individuals diagnosed with the same condition, the disease outcome and response to treatment at the whole body, organ or cellular level can vastly differ. However, because most studies are based on population measurements, they assume that all cells of a specific type behave identically. To address these limitations, my lab aims to understand the fundamental mechanisms of signal transduction and gene expression in normal and disease physiology in the context of kinetics and variability. We do so by applying a quantitative framework to broad biological questions in model organisms and in healthy and diseased tissue. We combine a series of single-cell, single-molecule, and genome-wide approaches and complement these quantitative assays with in-depth computational data analysis, genetics, molecular biology, chemical profiling, and single-cell predictive computational modeling. This combined quantitative experimental and computational framework is the foundation for and expertise of the Neuert lab.

Current research areas are:

1. Probe signal transduction and gene regulation in physiologically relevant environments.

2. Understand the function of the noncoding genome.

3. Revolutionize predictive model identification to gain biological insight.​​

4. Develop robust and data-driven analysis pipelines for kinetic single cell and genomic data sets.


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

Featured publications are shown below:

  1. Automated cell boundary and 3D nuclear segmentation of cells in suspension. Kesler B, Li G, Thiemicke A, Venkat R, Neuert G (2019) Sci Rep 9(1): 10237
    › Primary publication · 31308458 (PubMed) · PMC6629630 (PubMed Central)
  2. Generating kinetic environments to study dynamic cellular processes in single cells. Thiemicke A, Jashnsaz H, Li G, Neuert G (2019) Sci Rep 9(1): 10129
    › Primary publication · 31300695 (PubMed) · PMC6625993 (PubMed Central)
  3. Multiplex RNA single molecule FISH of inducible mRNAs in single yeast cells. Li G, Neuert G (2019) Sci Data 6(1): 94
    › Primary publication · 31209217 (PubMed) · PMC6572782 (PubMed Central)
  4. Distribution shapes govern the discovery of predictive models for gene regulation. Munsky B, Li G, Fox ZR, Shepherd DP, Neuert G (2018) Proc Natl Acad Sci U S A 115(29): 7533-7538
    › Primary publication · 29959206 (PubMed) · PMC6055173 (PubMed Central)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. 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)
  11. 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)
  12. 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)
  13. 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)
  14. 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)
  15. 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)