Stephan Uphoff

DAOSTORM: an algorithm for high- density super-resolution microscopy

We first investigated the qualitative performance of each algorithm for images of Alexa Fluor 647–immunolabeled microtubules in fixed COS-7 cells. We recorded data at high imaging density using total internal reflection fluorescence microscopy and direct (d)STORM photoswitching conditions5 (100 ms integration time, ~4,000 photons fluorophore–1 frame–1). We plotted localizations on raw images, illustrating the characteristic performance of each algorithm (Fig. 1a). SA1 only localized isolated molecules, which were fitted with small localization error. SA2 localized a larger fraction of the molecules but yielded large localization errors for overlapping molecules. DAOSTORM outperformed both sparse algorithms, identifying almost all molecules with small localization error. We quantified the performance of each algorithm by analyzing simulations of randomly distributed surface-immobilized fluorophores6. We compared observed localizations to simulated positions, calculating the recall5 and localization error at different imaging densities. Recall is the percentage of simulated fluorophores detected. Localization error is the root-mean-square distance between a localization and the simulated position. We also measured the precision5 and redundancy (Supplementary Methods), which did not vary substantially. DAOSTORM substantially outperformed the sparse algorithms in simulations at high signal-to-noise ratio typical of STORM data (bright organic fluorophores, 5,000 photons molecule–1 frame–1; Fig. 1b-c). SA1 showed poor recall at high density, with imaging density at half-maximum recall, ρHM, of 1.2 molecule μm –2. However, SA1 yielded small localization errors even at high imaging density because most overlapping molecules were rejected. SA2 had better recall performance (ρHM = 3.4 molecules μm –2) but gave large localization errors even at low imaging density (>0.1 molecules μm–2). In contrast, DAOSTORM gave small localization errors similar to the other ‘precise’ algorithm, SA1, together with a sixfold improvement in recall performance (ρHM = 7.5 molecules μm –2). For simulations at low signal-to-noise ratio typical of photoactivated localization microscopy data (fluorescent proteins, 200 photons molecule–1 frame–1; DAOSTORM: an algorithm for highdensity super-resolution microscopy

In Vivo Architecture and Action of Bacterial Structural Maintenance of Chromosome Proteins

Making a Move Structural Maintenance of Chromosome (SMC) complexes act ubiquitously in chromosome processing in all domains of life, but their mode of action in living cells has remained an enigma. Badrinarayanan et al. (p. 528) used noninvasive millisecond single-molecule imaging to understand SMC complex molecular biochemistry in living bacterial cells with super-resolution spatial precision. Escherichia coli SMC complexes, which are important for chromosome segregation, formed dimers that bound to DNA in an adenosine triphosphate (ATP)–dependent manner and that could be released upon ATP-hydrolysis. By functioning in pairs, the complexes are likely to be able to undergo multiple cycles of ATP-hydrolysis without being released from DNA. SMC proteins form a dimer of adenosine triphosphate (ATP)–bound dimers, which translate ATP hydrolysis into mechanical DNA remodeling. SMC (structural maintenance of chromosome) proteins act ubiquitously in chromosome processing. In Escherichia coli, the SMC complex MukBEF plays roles in chromosome segregation and organization. We used single-molecule millisecond multicolor fluorescence microscopy of live bacteria to reveal that a dimer of dimeric fluorescent MukBEF molecules acts as the minimal functional unit. On average, 8 to 10 of these complexes accumulated as “spots” in one to three discrete chromosome-associated regions of the cell, where they formed higher-order structures. Functional MukBEF within spots exchanged with freely diffusing complexes at a rate of one complex about every 50 seconds in reactions requiring adenosine triphosphate (ATP) hydrolysis. Thus, by functioning in pairs, MukBEF complexes may undergo multiple cycles of ATP hydrolysis without being released from DNA, analogous to the behavior of well-characterized molecular motors.

Single-molecule DNA repair in live bacteria

Cellular DNA damage is reversed by balanced repair pathways that avoid accumulation of toxic intermediates. Despite their importance, the organization of DNA repair pathways and the function of repair enzymes in vivo have remained unclear because of the inability to directly observe individual reactions in living cells. Here, we used photoactivation, localization, and tracking in live Escherichia coli to directly visualize single fluorescent labeled DNA polymerase I (Pol) and ligase (Lig) molecules searching for DNA gaps and nicks, performing transient reactions, and releasing their products. Our general approach provides enzymatic rates and copy numbers, substrate-search times, diffusion characteristics, and the spatial distribution of reaction sites, at the single-cell level, all in one measurement. Single repair events last 2.1 s (Pol) and 2.5 s (Lig), respectively. Pol and Lig activities increased fivefold over the basal level within minutes of DNA methylation damage; their rates were limited by upstream base excision repair pathway steps. Pol and Lig spent >80% of their time searching for free substrates, thereby minimizing both the number and lifetime of toxic repair intermediates. We integrated these single-molecule observations to generate a quantitative, systems-level description of a model repair pathway in vivo.

Defining the Limits of Single-Molecule FRET Resolution in TIRF Microscopy

Single-molecule FRET (smFRET) has long been used as a molecular ruler for the study of biology on the nanoscale (∼2-10 nm); smFRET in total-internal reflection fluorescence (TIRF) Förster resonance energy transfer (TIRF-FRET) microscopy allows multiple biomolecules to be simultaneously studied with high temporal and spatial resolution. To operate at the limits of resolution of the technique, it is essential to investigate and rigorously quantify the major sources of noise and error; we used theoretical predictions, simulations, advanced image analysis, and detailed characterization of DNA standards to quantify the limits of TIRF-FRET resolution. We present a theoretical description of the major sources of noise, which was in excellent agreement with results for short-timescale smFRET measurements (<200 ms) on individual molecules (as opposed to measurements on an ensemble of single molecules). For longer timescales (>200 ms) on individual molecules, and for FRET distributions obtained from an ensemble of single molecules, we observed significant broadening beyond theoretical predictions; we investigated the causes of this broadening. For measurements on individual molecules, analysis of the experimental noise allows us to predict a maximum resolution of a FRET change of 0.08 with 20-ms temporal resolution, sufficient to directly resolve distance differences equivalent to one DNA basepair separation (0.34 nm). For measurements on ensembles of single molecules, we demonstrate resolution of distance differences of one basepair with 1000-ms temporal resolution, and differences of two basepairs with 80-ms temporal resolution. Our work paves the way for ultra-high-resolution TIRF-FRET studies on many biomolecules, including DNA processing machinery (DNA and RNA polymerases, helicases, etc.), the mechanisms of which are often characterized by distance changes on the scale of one DNA basepair.

Live-cell superresolution microscopy reveals the organization of RNA polymerase in the bacterial nucleoid

Significance Transcription is one of the most fundamental processes for life. In eukaryotic cells, transcriptional activity is regulated to a large degree by chromosome packaging. In bacteria, despite the absence of a nuclear envelope and many of the DNA-packaging proteins of eukaryotes, the chromosome is still highly condensed into a structured object, the nucleoid. The spatial organization of transcription within the nucleoid and the effect of transcription on DNA organization remain poorly understood. In this work, we characterize how RNA polymerase accesses transcription sites on DNA, and show that active transcription can cause spatial reorganization of the nucleoid, with movement of gene loci out of the bulk of DNA as levels of transcription increase. Despite the fundamental importance of transcription, a comprehensive analysis of RNA polymerase (RNAP) behavior and its role in the nucleoid organization in vivo is lacking. Here, we used superresolution microscopy to study the localization and dynamics of the transcription machinery and DNA in live bacterial cells, at both the single-molecule and the population level. We used photoactivated single-molecule tracking to discriminate between mobile RNAPs and RNAPs specifically bound to DNA, either on promoters or transcribed genes. Mobile RNAPs can explore the whole nucleoid while searching for promoters, and spend 85% of their search time in nonspecific interactions with DNA. On the other hand, the distribution of specifically bound RNAPs shows that low levels of transcription can occur throughout the nucleoid. Further, clustering analysis and 3D structured illumination microscopy (SIM) show that dense clusters of transcribing RNAPs form almost exclusively at the nucleoid periphery. Treatment with rifampicin shows that active transcription is necessary for maintaining this spatial organization. In faster growth conditions, the fraction of transcribing RNAPs increases, as well as their clustering. Under these conditions, we observed dramatic phase separation between the densest clusters of RNAPs and the densest regions of the nucleoid. These findings show that transcription can cause spatial reorganization of the nucleoid, with movement of gene loci out of the bulk of DNA as levels of transcription increase. This work provides a global view of the organization of RNA polymerase and transcription in living cells.

Long-Lived Intracellular Single-Molecule Fluorescence Using Electroporated Molecules

Studies of biomolecules in vivo are crucial to understand their function in a natural, biological context. One powerful approach involves fusing molecules of interest to fluorescent proteins to study their expression, localization, and action; however, the scope of such studies would be increased considerably by using organic fluorophores, which are smaller and more photostable than their fluorescent protein counterparts. Here, we describe a straightforward, versatile, and high-throughput method to internalize DNA fragments and proteins labeled with organic fluorophores into live Escherichia coli by employing electroporation. We studied the copy numbers, diffusion profiles, and structure of internalized molecules at the single-molecule level in vivo, and were able to extend single-molecule observation times by two orders of magnitude compared to green fluorescent protein, allowing continuous monitoring of molecular processes occurring from seconds to minutes. We also exploited the desirable properties of organic fluorophores to perform single-molecule Förster resonance energy transfer measurements in the cytoplasm of live bacteria, both for DNA and proteins. Finally, we demonstrate internalization of labeled proteins and DNA into yeast Saccharomyces cerevisiae, a model eukaryotic system. Our method should broaden the range of biological questions addressable in microbes by single-molecule fluorescence.

Stochastic activation of a DNA damage response causes cell-to-cell mutation rate variation

To have or have not determines DNA repair Cells presumably try to protect DNA from damage at all costs. But Uphof et al. show that they do not, because the cost is too high. Single-molecule and single-cell measurements show that the DNA repair enzyme Ada, which also regulates its own expression, was present in such low amounts in E. coli that stochastic variation led to some cells having none of the protein at all. Such cells undergo increased mutagenesis, which could be beneficial in circumstances in which increased genetic heterogeneity is required for adaptation. The expression of large amounts of such a DNA-altering protein was also toxic. Science, this issue p. 1094 Nongenetic heterogeneity can lead to genetic variation. Cells rely on the precise action of proteins that detect and repair DNA damage. However, gene expression noise causes fluctuations in protein abundances that may compromise repair. For the Ada protein in Escherichia coli, which induces its own expression upon repairing DNA alkylation damage, we found that undamaged cells on average produce one Ada molecule per generation. Because production is stochastic, many cells have no Ada molecules and cannot induce the damage response until the first expression event occurs, which sometimes delays the response for generations. This creates a subpopulation of cells with increased mutation rates. Nongenetic variation in protein abundances thus leads to genetic heterogeneity in the population. Our results further suggest that cells balance reliable repair against toxic side effects of abundant DNA repair proteins.

Imaging cellular structures in super-resolution with SIM, STED and Localisation Microscopy: A practical comparison

Many biological questions require fluorescence microscopy with a resolution beyond the diffraction limit of light. Super-resolution methods such as Structured Illumination Microscopy (SIM), STimulated Emission Depletion (STED) microscopy and Single Molecule Localisation Microscopy (SMLM) enable an increase in image resolution beyond the classical diffraction-limit. Here, we compare the individual strengths and weaknesses of each technique by imaging a variety of different subcellular structures in fixed cells. We chose examples ranging from well separated vesicles to densely packed three dimensional filaments. We used quantitative and correlative analyses to assess the performance of SIM, STED and SMLM with the aim of establishing a rough guideline regarding the suitability for typical applications and to highlight pitfalls associated with the different techniques.

In vivo single-molecule imaging of bacterial DNA replication, transcription, and repair

In vivo single‐molecule experiments offer new perspectives on the behaviour of DNA binding proteins, from the molecular level to the length scale of whole bacterial cells. With technological advances in instrumentation and data analysis, fluorescence microscopy can detect single molecules in live cells, opening the doors to directly follow individual proteins binding to DNA in real time. In this review, we describe key technical considerations for implementing in vivo single‐molecule fluorescence microscopy. We discuss how single‐molecule tracking and quantitative super‐resolution microscopy can be adapted to extract DNA binding kinetics, spatial distributions, and copy numbers of proteins, as well as stoichiometries of protein complexes. We highlight experiments which have exploited these techniques to answer important questions in the field of bacterial gene regulation and transcription, as well as chromosome replication, organisation and repair. Together, these studies demonstrate how single‐molecule imaging is transforming our understanding of DNA‐binding proteins in cells.

The SMC Complex MukBEF Recruits Topoisomerase IV to the Origin of Replication Region in Live Escherichia coli

ABSTRACT The Escherichia coli structural maintenance of chromosome (SMC) complex, MukBEF, and topoisomerase IV (TopoIV) interact in vitro through a direct contact between the MukB dimerization hinge and the C-terminal domain of ParC, the catalytic subunit of TopoIV. The interaction stimulates catalysis by TopoIV in vitro. Using live-cell quantitative imaging, we show that MukBEF directs TopoIV to ori, with fluorescent fusions of ParC and ParE both forming cellular foci that colocalize with those formed by MukBEF throughout the cell cycle and in cells unable to initiate DNA replication. Removal of MukBEF leads to loss of fluorescent ParC/ParE foci. In the absence of functional TopoIV, MukBEF forms multiple foci that are distributed uniformly throughout the nucleoid, whereas multiple catenated oris cluster at midcell. Once functional TopoIV is restored, the decatenated oris segregate to positions that are largely coincident with the MukBEF foci, thereby providing support for a mechanism by which MukBEF acts in chromosome segregation by positioning newly replicated and decatenated oris. Additional evidence for such a mechanism comes from the observation that in TopoIV-positive (TopoIV+) cells, newly replicated oris segregate rapidly to the positions of MukBEF foci. Taken together, the data implicate MukBEF as a key component of the DNA segregation process by acting in concert with TopoIV to promote decatenation and positioning of newly replicated oris. IMPORTANCE Mechanistic understanding of how newly replicated bacterial chromosomes are segregated prior to cell division is incomplete. In this work, we provide in vivo experimental support for the view that topoisomerase IV (TopoIV), which decatenates newly replicated sister duplexes as a prelude to successful segregation, is directed to the replication origin region of the Escherichia coli chromosome by the SMC (structural maintenance of chromosome) complex, MukBEF. We provide in vivo data that support the demonstration in vitro that the MukB interaction with TopoIV stimulates catalysis by TopoIV. Finally, we show that MukBEF directs the normal positioning of sister origins after their replication and during their segregation. Overall, the data support models in which the coordinate and sequential action of TopoIV and MukBEF plays an important role during bacterial chromosome segregation. Mechanistic understanding of how newly replicated bacterial chromosomes are segregated prior to cell division is incomplete. In this work, we provide in vivo experimental support for the view that topoisomerase IV (TopoIV), which decatenates newly replicated sister duplexes as a prelude to successful segregation, is directed to the replication origin region of the Escherichia coli chromosome by the SMC (structural maintenance of chromosome) complex, MukBEF. We provide in vivo data that support the demonstration in vitro that the MukB interaction with TopoIV stimulates catalysis by TopoIV. Finally, we show that MukBEF directs the normal positioning of sister origins after their replication and during their segregation. Overall, the data support models in which the coordinate and sequential action of TopoIV and MukBEF plays an important role during bacterial chromosome segregation.