Elf lab
In Johan Elf's research group, we work on understanding at what level of detail you need to describe the cell's physical chemistry to make coherent models of life at the molecular level. The focus is on central processes in bacterial cells as transcriptional regulation, protein synthesis and cell division. The approach is to make quantitative predictions based on physics, and to test these using frontline experimental techniques. Since it is essential that the methods are sufficiently accurate to explore the limits of the models, a large part of the research concerns the development of sensitive biophysical measurement techniques for studying individual macromolecules in living cells at sufficiently high spatial and temporal resolution. The research is based on close cooperation between the group's physicists, biologists, chemists, programmers and engineers that together bridge the gap between biochemistry and physiology.
Popular Science Presentation
Johan Elf's research group consist of some 20 physicists, engineers, computer scientists, molecular biologists, mathematicians and microbiologists working together on technique development to test different models for how the cell works at the molecular level. Their efforts involve formulating mathematical theories to make precise predictions and to test models, but the bulk of the work is focused on developing experimental techniques that are sensitive enough to test specific predictions.
There are plenty of technical challenges. The biggest one is maybe to label the proteins with fluorescent makers without causing the proteins to move or function abnormally or to stop functioning altogether. Therefore, the group develops new technologies to replace a single amino acid in a specific protein in the cell to a fluorescent amino acid. The new labelling methods are developed in parallel with a new type of extremely fast microscopy which will make it possible to study individual protein’s interactions with DNA with a time resolution of one micro second.
The recent development in fluorescence microscopy that has brought light microscopy to nano dimensions, and which was awarded the Nobel Prize in Chemistry in 2014, has made a huge impact on the research in the lab. If the cell is compared to a city, ten years ago it was only possible to see the houses and streets, no cars or people. Today, however, we can follow how individual people move and what they do in the city. Naturally, this gives new opportunities to understand how the city works.
Johan Elf has made several important discoveries through further developments of the Nobel Prize-winning technology. One is how a regulatory protein, a transcription factor, quickly finds and binds the right place on the DNA when a gene is turned on or off. Many theories have been put forward to explain this search process, but with the new technique we can see what actually happens when a transcription factor find the right spot among millions of alternative binding sites along the DNA helix.
Imagine a super-fast librarian that without support of any computerized registers and in crowded aisles full of other librarians and library visitors, manage to locate one of the millions of books that are unsorted in many thousands of identical shelves. In less than a millisecond, the transcription factor scans about 40 DNA building blocks by sliding along the DNA strand. If the correct DNA sequence is not located, the transcription factor is released and resumes the search a new stretch of DNA until it reaches and attaches next to the gene that it is supposed to regulate.
The seemingly aimless search along short pieces of DNA is so smooth and fast that five copies of the control protein is enough for one of them to find the target within one minute. The study confirms the theoretical model of how genes are found by their transcription factors that the Uppsala researcher Otto Berg proposed more than 30 years ago.
But it's not always that the detailed measurements of the cell’s inner life that is performed by the group confirm the accepted of the biological cell functions. One standard model claims that a gene is turned off as long as a transcription inhibitory factor is bound to the DNA strand. Johan Elf could recently show that there are discrepancies between the duration of transcription factor binding and inactivation of the gene. Such findings are the most exciting as they are contradict the expected outcome and opens up for new research challenges.
Research overview
The overall ambition of our research is to bridge the gap between quantitative physical models and biological observations in order to identify and resolve inconsistencies in our current understanding of life at the molecular level. We are particularly interested in how key steps in transcription, translation and replication are regulated in the intracellular environment and at what level of physical detail these processes need to be modeled to describe their function in the living cell.
Group members
Publications
Antibiotic perseverance increases the risk of resistance development
Part of Proceedings of the National Academy of Sciences of the United States of America, 2023
Can molecular dynamics be used to simulate biomolecular recognition?
Part of Journal of Chemical Physics, 2023
Part of PloS Computational Biology, 2023
Real-time single-molecule 3D tracking in E. coli based on cross-entropy minimization
Part of Nature Communications, 2023
Part of Proceedings of the National Academy of Sciences of the United States of America, 2023
Part of Journal of Physical Chemistry B, p. 9971-9984, 2022
Direct measurements of mRNA translation kinetics in living cells
Part of Nature Communications, 2022
Rapid antibiotic susceptibility testing and species identification for mixed samples
Part of Nature Communications, 2022
Sequence specificity in DNA binding is mainly governed by association
Part of Science, p. 442-445, 2022
Imaging-based screens of pool-synthesized cell libraries
Part of Nature Methods, p. 358-365, 2021
More Than Just Letters and Chemistry: Genomics Goes Mechanics
Part of TIBS -Trends in Biochemical Sciences. Regular ed., p. 431-432, 2021
RecA finds homologous DNA by reduced dimensionality search
Part of Nature, p. 426-429, 2021
The highly dynamic nature of bacterial heteroresistance impairs its clinical detection
Part of Communications Biology, 2021
DNA surface exploration and operator bypassing during target search
Part of Nature, p. 858-+, 2020
Time-resolved imaging-based CRISPRi screening
Part of Nature Methods, p. 86-92, 2020
Part of Journal of Physical Chemistry B, p. 3576-3590, 2019
Rotational and Translational Diffusion of Proteins as a Function of Concentration
Part of ACS Omega, p. 20654-20664, 2019
Part of EMBO Journal, 2018
Structure-guided approach to site-specific fluorophore labeling of the lac repressor LacI
Part of PLOS ONE, 2018
tRNA tracking for direct measurements of protein synthesis kinetics in live cells
Part of Nature Chemical Biology, p. 618-626, 2018
Variational Algorithms for Analyzing Noisy Multistate Diffusion Trajectories
Part of Biophysical Journal, p. 276-282, 2018
Antibiotic susceptibility testing in less than 30 min using direct single-cell imaging
Part of Proceedings of the National Academy of Sciences of the United States of America, p. 9170-9175, 2017
Part of ACS Photonics, p. 233-255, 2017
Part of CELL SYSTEMS, p. 144-146, 2017
In situ genotyping of a pooled strain library after characterizing complex phenotypes
Part of Molecular Systems Biology, 2017
Kinetics of dCas9 Target Search in Escherichia Coli
Part of Biophysical Journal, 2017
Kinetics of dCas9 target search in Escherichia coli
Part of Science, p. 1420-1423, 2017
Part of Biophysical Journal, 2017
Nanometer resolution imaging and tracking of fluorescent molecules with minimal photon fluxes
Part of Science, p. 606-612, 2017
Pointwise error estimates in localization microscopy
Part of Nature Communications, 2017
Real- Time Single Protein Tracking with Polarization Readout using a Confocal Microscope
Part of Biophysical Journal, 2017
Part of Developmental Cell, p. 5-6, 2016
Hypothesis: Homologous Recombination Depends on Parallel Search
Part of CELL SYSTEMS, p. 325-327, 2016
In Vivo Measurements of Protein Synthesis Kinetics using Single-Molecule Tracking of E.Coli tRNAS
Part of Biophysical Journal, 2016
Part of Molecular Microbiology, p. 767-777, 2016
Segmentation and track-analysis in time-lapse imaging of bacteria
Part of IEEE Journal on Selected Topics in Signal Processing, p. 174-184, 2016
Simulated single molecule microscopy with SMeagol
Part of Bioinformatics, p. 2394-2395, 2016
Part of CELL SYSTEMS, p. 219-220, 2016
The helical structure of DNA facilitates binding
Part of Journal of Physics A, 2016
The Synchronization of Replication and Division Cycles in Individual E. coli Cells
Part of Cell, p. 729-739, 2016
Part of Biophysical Journal, 2015
Part of Nucleic Acids Research, p. 3454-3464, 2015
Part of Nucleic Acids Research, p. 3454-3464, 2015
Part of Nature Genetics, p. 405-+, 2014
Part of Biophysical Journal, 2014
Part of Proceedings of the National Academy of Sciences of the United States of America, p. 11413-11418, 2014
Stochastic reaction–diffusion processes with embedded lower-dimensional structures
Part of Bulletin of Mathematical Biology, p. 819-853, 2014
A Bayesian Approach to Single Particle Tracking Analysis
Part of Biophysical Journal, 2013
Extracting intracellular diffusive states and transition rates from single-molecule tracking data
Part of Nature Methods, p. 265-269, 2013
Part of Philosophical Transactions of the Royal Society of London. Biological Sciences, 2013