Advancement of the 5-Amino-1-(Carbamoylmethyl)-1H-1,2,3-Triazole-4-Carboxamide Scaffold to Disarm the Bacterial SOS Response

Many antibiotics, either directly or indirectly, cause DNA damage thereby activating the bacterial DNA damage (SOS) response. SOS activation results in expression of genes involved in DNA repair and mutagenesis, and the regulation of the SOS response relies on two key proteins, LexA and RecA. Genetic studies have indicated that inactivating the regulatory proteins of this response sensitizes bacteria to antibiotics and slows the appearance of resistance. However, advancement of small molecule inhibitors of the SOS response has lagged, despite their clear promise in addressing the threat of antibiotic resistance. Previously, we had addressed this deficit by performing a high throughput screen of ∼1.8 million compounds that monitored for inhibition of RecA-mediated auto-proteolysis of Escherichia coli LexA, the reaction that initiates the SOS response. In this report, the refinement of the 5-amino-1-(carbamoylmethyl)-1H-1,2,3-triazole-4-carboxamide scaffold identified in the screen is detailed. After development of a modular synthesis, a survey of key activity determinants led to the identification of an analog with improved potency and increased breadth, targeting auto-proteolysis of LexA from both E. coli and Pseudomonas aeruginosa. Comparison of the structure of this compound to those of others in the series suggests structural features that may be required for activity and cross-species breadth. In addition, the feasibility of small molecule modulation of the SOS response was demonstrated in vivo by the suppression of the appearance of resistance. These structure activity relationships thus represent an important step toward producing Drugs that Inhibit SOS Activation to Repress Mechanisms Enabling Resistance (DISARMERs)

Finishing the euchromatic sequence of the human genome

The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

Search for gravitational-lensing signatures in the full third observing run of the LIGO-Virgo network

Gravitational lensing by massive objects along the line of sight to the source causes distortions of gravitational wave-signals; such distortions may reveal information about fundamental physics, cosmology and astrophysics. In this work, we have extended the search for lensing signatures to all binary black hole events from the third observing run of the LIGO--Virgo network. We search for repeated signals from strong lensing by 1) performing targeted searches for subthreshold signals, 2) calculating the degree of overlap amongst the intrinsic parameters and sky location of pairs of signals, 3) comparing the similarities of the spectrograms amongst pairs of signals, and 4) performing dual-signal Bayesian analysis that takes into account selection effects and astrophysical knowledge. We also search for distortions to the gravitational waveform caused by 1) frequency-independent phase shifts in strongly lensed images, and 2) frequency-dependent modulation of the amplitude and phase due to point masses. None of these searches yields significant evidence for lensing. Finally, we use the non-detection of gravitational-wave lensing to constrain the lensing rate based on the latest merger-rate estimates and the fraction of dark matter composed of compact objects

Search for eccentric black hole coalescences during the third observing run of LIGO and Virgo

Despite the growing number of confident binary black hole coalescences observed through gravitational waves so far, the astrophysical origin of these binaries remains uncertain. Orbital eccentricity is one of the clearest tracers of binary formation channels. Identifying binary eccentricity, however, remains challenging due to the limited availability of gravitational waveforms that include effects of eccentricity. Here, we present observational results for a waveform-independent search sensitive to eccentric black hole coalescences, covering the third observing run (O3) of the LIGO and Virgo detectors. We identified no new high-significance candidates beyond those that were already identified with searches focusing on quasi-circular binaries. We determine the sensitivity of our search to high-mass (total mass M>70 M⊙) binaries covering eccentricities up to 0.3 at 15 Hz orbital frequency, and use this to compare model predictions to search results. Assuming all detections are indeed quasi-circular, for our fiducial population model, we place an upper limit for the merger rate density of high-mass binaries with eccentricities 0<e≤0.3 at 0.33 Gpc−3 yr−1 at 90\% confidence level

Ultralight vector dark matter search using data from the KAGRA O3GK run

Among the various candidates for dark matter (DM), ultralight vector DM can be probed by laser interferometric gravitational wave detectors through the measurement of oscillating length changes in the arm cavities. In this context, KAGRA has a unique feature due to differing compositions of its mirrors, enhancing the signal of vector DM in the length change in the auxiliary channels. Here we present the result of a search for U(1)B−L gauge boson DM using the KAGRA data from auxiliary length channels during the first joint observation run together with GEO600. By applying our search pipeline, which takes into account the stochastic nature of ultralight DM, upper bounds on the coupling strength between the U(1)B−L gauge boson and ordinary matter are obtained for a range of DM masses. While our constraints are less stringent than those derived from previous experiments, this study demonstrates the applicability of our method to the lower-mass vector DM search, which is made difficult in this measurement by the short observation time compared to the auto-correlation time scale of DM

Make antibiotics great again: Combating drug resistance by targeting LexA, a regulator of bacterial evolution

The ability of bacterial pathogens to evolve and adapt to our antimicrobial agents has precipitated a global health crisis where treatment options for bacterial infections are running low. Recently, studies have shown that the ability to acquire resistance is linked to the SOS response, which is a widely conserved network of genes involved in both high fidelity and error-prone DNA damage repair. The SOS response is regulated by the DNA-binding protein, RecA, and a repressor-protease, LexA. When the cell experiences stress, which can be caused by antibiotics, RecA polymerizes along single-stranded DNA and thereby stimulates LexA to undergo a conformational change and self-cleavage reaction (autoproteolysis). LexA self-cleavage de-represses downstream SOS genes, which are involved in both stress tolerance and mutagenesis. Various studies have shown that inactivating LexA autoproteolysis can both reduce the viability of bacteria under antibiotic stress and impede their ability to acquire resistance. These results therefore suggest that targeting LexA therapeutically could offer a novel way to combat the rise of resistance in pathogens, although to date no LexA inhibitors have been found. To facilitate the development of such therapeutics, we focused our efforts on examining LexA from 1) biochemical, 2) microbiological, and 3) drug discovery perspectives. On the biochemical front, we elucidated the substrate preference of LexA’s serine protease active site to form a better understanding of the target enzyme’s active site architecture. Performing saturation mutagenesis on the LexA’s internal cleavage loop, we showed that LexA possesses a unique active site, revealing residues involved in specific molecular recognition and conformational change. On the microbiological front, we examined how different LexA activities can impact bacterial drug susceptibility and stress-induced mutagenesis. Employing engineered E. coli strains with a spectrum of SOS activities, we showed that modulating LexA activity can increase bacterial susceptibility to antibiotics, while also tuning stress-induced mutagenesis. Finally, on the drug discovery front, we designed a high-throughput screen that enabled us to discover small molecule inhibitors of the LexA/RecA axis in collaboration with GlaxoSmithKline. Together, this work provides a multi-pronged foray into developing therapeutics that target the SOS pathway and combat the rise of antibiotic resistance

Specificity Determinants for Autoproteolysis of LexA, a Key Regulator of Bacterial SOS Mutagenesis

Bacteria utilize the tightly regulated stress response (SOS) pathway to respond to a variety of genotoxic agents, including antimicrobials. Activation of the SOS response is regulated by a key repressor-protease, LexA, which undergoes autoproteolysis in the setting of stress, resulting in derepression of SOS genes. Remarkably, genetic inactivation of LexA’s self-cleavage activity significantly decreases acquired antibiotic resistance in infection models and renders bacteria hypersensitive to traditional antibiotics, suggesting that a mechanistic study of LexA could help inform its viability as a novel target for combating acquired drug resistance. Despite structural insights into LexA, a detailed knowledge of the enzyme’s protease specificity is lacking. Here, we employ saturation and positional scanning mutagenesis on LexA’s internal cleavage region to analyze >140 mutants and generate a comprehensive specificity profile of LexA from the human pathogen <i>Pseudomonas aeruginosa</i> (LexA_<i>Pa</i>). We find that the LexA_<i>Pa</i> active site possesses a unique mode of substrate recognition. Positions P1–P3 prefer small hydrophobic residues that suggest specific contacts with the active site, while positions P5 and P1′ show a preference for flexible glycine residues that may facilitate the conformational change that permits autoproteolysis. We further show that stabilizing the β-turn within the cleavage region enhances LexA autoproteolytic activity. Finally, we identify permissive positions flanking the scissile bond (P4 and P2′) that are tolerant to extensive mutagenesis. Our studies shed light on the active site architecture of the LexA autoprotease and provide insights that may inform the design of probes of the SOS pathway

Non-equilibrium repressor binding kinetics link DNA damage dose to transcriptional timing within the SOS gene network

<div><p>Biochemical pathways are often genetically encoded as simple transcription regulation networks, where one transcription factor regulates the expression of multiple genes in a pathway. The relative timing of each promoter’s activation and shut-off within the network can impact physiology. In the DNA damage repair pathway (known as the SOS response) of <i>Escherichia coli</i>, approximately 40 genes are regulated by the LexA repressor. After a DNA damaging event, LexA degradation triggers SOS gene transcription, which is temporally separated into subsets of ‘early’, ‘middle’, and ‘late’ genes. Although this feature plays an important role in regulating the SOS response, both the range of this separation and its underlying mechanism are not experimentally defined. Here we show that, at low doses of DNA damage, the timing of promoter activities is not separated. Instead, timing differences only emerge at higher levels of DNA damage and increase as a function of DNA damage dose. To understand mechanism, we derived a series of synthetic SOS gene promoters which vary in LexA-operator binding kinetics, but are otherwise identical, and then studied their activity over a large dose-range of DNA damage. In distinction to established models based on rapid equilibrium assumptions, the data best fit a kinetic model of repressor occupancy at promoters, where the drop in cellular LexA levels associated with higher doses of DNA damage leads to <i>non-equilibrium</i> binding kinetics of LexA at operators. Operators with slow LexA binding kinetics achieve their minimal occupancy state at later times than operators with fast binding kinetics, resulting in a time separation of peak promoter activity between genes. These data provide insight into this remarkable feature of the SOS pathway by demonstrating how a single transcription factor can be employed to control the relative timing of each gene’s transcription as a function of stimulus dose.</p></div

Effect of DNA damage dose on synthetic <i>recA</i> promoters.

<p>A. Top: Normalized dose-response curves for synthetic <i>recA</i> promoters. Bottom: Correlation between the UV-activation thresholds (ED₅₀) derived from the dose-response model and LexA-operator dissociation rates (t_1/2). B. Top: Plot of t_peak versus UV dose for synthetic <i>recA</i> promoters. Bottom: Plot of t_peak versus LexA-operator dissociation rate (t_1/2) for each UV dose. Lines connecting data points from different UV doses (top) or t_1/2 values (bottom) are shown for ease of visualization. C. Normalized promoter activity traces at UV doses of 1 J/m² (top) and 100 J/m² (bottom). Legend: Data lines with darker shading indicate slower LexA-operator dissociation rates (larger t_1/2).</p