Altering, Improving, And Defining The Specificities Of Crispr-Cas Nucleases

CRISPR-Cas9 nucleases have been widely adopted for genome editing applications to knockout genes or to introduce desired changes. While these nucleases have shown immense promise, two notable limitations of the wild-type form of the broadly used Streptococcus pyogenes Cas9 (SpCas9) are the restriction of targeting range to sites that contain an NGG protospacer adjacent motif (PAM), and the undesirable ability of the enzyme to cleave off-target sites that resemble the on-target site. Scarcity of PAM motifs can limit implementations that require precise targeting, whereas off-target effects can confound research applications and are important considerations for therapeutics. To improve the targeting range of SpCas9 and an orthogonal Cas9 from Staphylococcus aureus (called SaCas9), we optimized a heterologous genetic selection system that enabled us to perform directed evolution of PAM specificity. With SpCas9, we evolved two separate variants that can target NGA and NGCG PAMs1, and with SaCas9 relaxed the PAM from NNGRRT to NNNRRT2, increasing the targetability of these enzyme 2- to 4-fold. The genome-wide specificity profiles of SpCas9 and SaCas9 variants, determine by GUIDE-seq3, indicate that they are at least as, if not more, specific than the wild-type enzyme1,2. Together, these results demonstrate that the inherent PAM specificity of multiple different Cas9 orthologues can be purposefully modified to improve the accuracy of targeting. Existing strategies for improving the genome-wide specificity of SpCas9 have thus far proven to be incompletely effective and/or have other limitations that constrain their use. To address the off-target potential of SpCas9, we engineered a high-fidelity variant of SpCas9 (called SpCas9-HF1), that contains alterations designed to reduce non-specific contacts to the target strand DNA backbone. In comparison to wild-type SpCas9, SpCas9-HF1 rendered all or nearly all off-target events imperceptible by GUIDE-seq and targeted deep-sequencing methods with standard non-repetitive target sites in human cells4. Even for atypical, repetitive target sites, the vast majority of off-targets induced by SpCas9-HF1 and optimized derivatives were not detected4. With its exceptional precision, SpCas9-HF1 provides an important and easily employed alternative to wild-type SpCas9 that can eliminate off-target effects when using CRISPR-Cas9 for research and therapeutic applications. Finally, on-target activity and genome-wide specificity are two important properties of engineered nucleases that should be characterized prior to adoption of such technologies for research or therapeutic applications. CRISPR-Cas Cpf1 nucleases have recently been described as an alternative genome-editing platform5, yet their activities and genome-wide specificities remain largely undefined. Based on assessment of on-target activity across more than 40 target sites, we demonstrate that two Cpf1 orthologues function robustly in human cells with efficiencies comparable to those of the widely used Streptococcus pyogenes Cas9. We also demonstrate that four to six bases at the 3’ end of the short CRISPR RNA (crRNA) used to program Cpf1 are insensitive to single base mismatches, but that many of the other bases within the crRNA targeting region are highly sensitive to single or double substitutions6. Consistent with these results, GUIDE-seq performed in multiple cell types and targeted deep sequencing analyses of two Cpf1 nucleases revealed no detectable off-target cleavage for over half of 20 different crRNAs we examined. Our results suggest that the two Cpf1 nucleases we characterized generally possess robust on-target activity and high specificities in human cells, findings that should encourage broader use of these genome editing enzymes. 1. Kleinstiver, BP, et al. (2015) Nature, 523(7561):481-5 2. Kleinstiver, BP, et al. (2015) Nature Biotechnology, 33(12):1293-98 3. Tsai, SQ et al. (2015) Nature Biotechnology, 33(2):187-97 4. Kleinstiver, BP and Pattanayak, V, et al. (2016), Nature, 529(7587):490-5 5. Zetsche, B, et al. (2015) Cell, 163(3):759-71 6. Kleinstiver, BP and Tsai, SQ, et al. (2016), Nature Biotechnology, 34(8):869-7

Effectiveness of cervical pessary compared to cervical cerclage with or without vaginal progesterone for the prevention of preterm birth in women with twin pregnancies and a short cervix : Study protocol for a two-by-two factorial randomised clinical trial

Peer reviewedPublisher PD

Development and validation of a rabbit model of Pseudomonas aeruginosa non-ventilated pneumonia for preclinical drug development

BackgroundNew drugs targeting antimicrobial resistant pathogens, including Pseudomonas aeruginosa, have been challenging to evaluate in clinical trials, particularly for the non-ventilated hospital-acquired pneumonia and ventilator-associated pneumonia indications. Development of new antibacterial drugs is facilitated by preclinical animal models that could predict clinical efficacy in patients with these infections.MethodsWe report here an FDA-funded study to develop a rabbit model of non-ventilated pneumonia with Pseudomonas aeruginosa by determining the extent to which the natural history of animal disease reproduced human pathophysiology and conducting validation studies to evaluate whether humanized dosing regimens of two antibiotics, meropenem and tobramycin, can halt or reverse disease progression.ResultsIn a rabbit model of non-ventilated pneumonia, endobronchial challenge with live P. aeruginosa strain 6206, but not with UV-killed Pa6206, caused acute respiratory distress syndrome, as evidenced by acute lung inflammation, pulmonary edema, hemorrhage, severe hypoxemia, hyperlactatemia, neutropenia, thrombocytopenia, and hypoglycemia, which preceded respiratory failure and death. Pa6206 increased >100-fold in the lungs and then disseminated from there to infect distal organs, including spleen and kidneys. At 5 h post-infection, 67% of Pa6206-challenged rabbits had PaO2 <60 mmHg, corresponding to a clinical cut-off when oxygen therapy would be required. When administered at 5 h post-infection, humanized dosing regimens of tobramycin and meropenem reduced mortality to 17-33%, compared to 100% for saline-treated rabbits (P<0.001 by log-rank tests). For meropenem which exhibits time-dependent bactericidal activity, rabbits treated with a humanized meropenem dosing regimen of 80 mg/kg q2h for 24 h achieved 100% T>MIC, resulting in 75% microbiological clearance rate of Pa6206 from the lungs. For tobramycin which exhibits concentration-dependent killing, rabbits treated with a humanized tobramycin dosing regimen of 8 mg/kg q8h for 24 h achieved Cmax/MIC of 9.8 ± 1.4 at 60 min post-dose, resulting in 50% lung microbiological clearance rate. In contrast, rabbits treated with a single tobramycin dose of 2.5 mg/kg had Cmax/MIC of 7.8 ± 0.8 and 8% (1/12) microbiological clearance rate, indicating that this rabbit model can detect dose-response effects.ConclusionThe rabbit model may be used to help predict clinical efficacy of new antibacterial drugs for the treatment of non-ventilated P. aeruginosa pneumonia

Computational Identification of Transcriptional Regulators in Human Endotoxemia

One of the great challenges in the post-genomic era is to decipher the underlying principles governing the dynamics of biological responses. As modulating gene expression levels is among the key regulatory responses of an organism to changes in its environment, identifying biologically relevant transcriptional regulators and their putative regulatory interactions with target genes is an essential step towards studying the complex dynamics of transcriptional regulation. We present an analysis that integrates various computational and biological aspects to explore the transcriptional regulation of systemic inflammatory responses through a human endotoxemia model. Given a high-dimensional transcriptional profiling dataset from human blood leukocytes, an elementary set of temporal dynamic responses which capture the essence of a pro-inflammatory phase, a counter-regulatory response and a dysregulation in leukocyte bioenergetics has been extracted. Upon identification of these expression patterns, fourteen inflammation-specific gene batteries that represent groups of hypothetically ‘coregulated’ genes are proposed. Subsequently, statistically significant cis-regulatory modules (CRMs) are identified and decomposed into a list of critical transcription factors (34) that are validated largely on primary literature. Finally, our analysis further allows for the construction of a dynamic representation of the temporal transcriptional regulatory program across the host, deciphering possible combinatorial interactions among factors under which they might be active. Although much remains to be explored, this study has computationally identified key transcription factors and proposed a putative time-dependent transcriptional regulatory program associated with critical transcriptional inflammatory responses. These results provide a solid foundation for future investigations to elucidate the underlying transcriptional regulatory mechanisms under the host inflammatory response. Also, the assumption that coexpressed genes that are functionally relevant are more likely to share some common transcriptional regulatory mechanism seems to be promising, making the proposed framework become essential in unravelling context-specific transcriptional regulatory interactions underlying diverse mammalian biological processes

Influence of Settlement on Base Resistance of Long Piles in Soft Soil—Field and Machine Learning Assessments

Understanding the role that settlement can have on the base resistance of piles is a crucial matter in the design and safety control of deep foundations under various buildings and infrastructure, especially for long to super-long piles (60–90 m length) in soft soil. This paper presents a novel assessment of this issue by applying explainable machine learning (ML) techniques to a robust database (1131 datapoints) of fully instrumented pile tests across 37 real-life projects in the Mekong Delta. The analysis of data based on conventional methods shows distinct responses of long piles to rising settlement, as compared to short piles. The base resistance can rapidly develop at a small settlement threshold (0.015–0.03% of pile’s length) and contribute up to 50–55% of the total bearing capacity in short piles, but it slowly rises over a wide range of settlement to only 20–25% in long piles due to considerable loss of settlement impact over the depth. Furthermore, by leveraging the advantages of ML methods, the results significantly enhance our understanding of the settlement–base resistance relationship through explainable computations. The ML-based prediction method is compared with popular practice codes for pile foundations, further attesting to the high accuracy and reliability of the newly established model

Tumble Suppression Is a Conserved Feature of Swarming Motility

Bacteria within a swarm move characteristically in packs, displaying an intricate swirling motion in which hundreds of dynamic rafts continuously form and dissociate as the swarm colonizes an increasing expanse of territory. The demonstrated property of E. coli to reduce its tumble bias and hence increase its run duration during swarming is expected to maintain and promote side-by-side alignment and cohesion within the bacterial packs. In this study, we observed a similar low tumble bias in five different bacterial species, both Gram positive and Gram negative, each inhabiting a unique habitat and posing unique problems to our health. The unanimous display of an altered run-tumble bias in swarms of all species examined in this investigation suggests that this behavioral adaptation is crucial for swarming.Many bacteria use flagellum-driven motility to swarm or move collectively over a surface terrain. Bacterial adaptations for swarming can include cell elongation, hyperflagellation, recruitment of special stator proteins, and surfactant secretion, among others. We recently demonstrated another swarming adaptation in Escherichia coli, wherein the chemotaxis pathway is remodeled to decrease tumble bias (increase run durations), with running speeds increased as well. We show here that the modification of motility parameters during swarming is not unique to E. coli but is shared by a diverse group of bacteria we examined—Proteus mirabilis, Serratia marcescens, Salmonella enterica, Bacillus subtilis, and Pseudomonas aeruginosa—suggesting that increasing run durations and speeds are a cornerstone of swarming

CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR-Cas9 nuclease off-targets

Sensitive detection of off-target effects is important for translating CRISPR-Cas9 nucleases into human therapeutics. In vitro biochemical methods for finding off-targets offer potential advantages of greater reproducibility and scalability while avoiding limitations associated with strategies that require the culture and manipulation of living cells. Here we describe CIRCLE-seq (Circularization for In vitro Reporting of CLeavage Effects by sequencing), a highly sensitive, sequencing-efficient in vitro screening strategy that outperforms existing cell-based or biochemical approaches for identifying CRISPR-Cas9 genome-wide off-target mutations. In contrast to previously described in vitro methods, we show that CIRCLE-seq can be practiced using widely accessible next-generation sequencing technology and does not require reference genome sequence. Importantly, CIRCLE-seq can be used to identify off-target mutations associated with cell-type-specific SNPs, demonstrating the feasibility and importance of generating personalized specificity profiles. CIRCLE-seq provides the most accessible, rapid and comprehensive method for identifying genome-wide off-target mutations of CRISPR-Cas9 described to date

Diastereoselective Base-Catalyzed Formal [4 + 2] Cycloadditions of N‑Sulfonyl Imines and Cyclic Anhydrides

A diastereoselective base-catalyzed Mannich reaction of cyclic, enolizable anhydrides and N-sulfonyl imines for the synthesis of δ-lactams is reported. This anhydride Mannich reaction tolerates imines derived from aryl and enolizable aldehydes. A base-catalyzed product epimerization pathway ensures high anti diastereoselectivity in aryl and achiral enolizable imines