scholarly journals On-target activity predictions enable improved CRISPR–dCas9 screens in bacteria

2020 ◽  
Vol 48 (11) ◽  
pp. e64-e64 ◽  
Author(s):  
Alicia Calvo-Villamañán ◽  
Jérome Wong Ng ◽  
Rémi Planel ◽  
Hervé Ménager ◽  
Arthur Chen ◽  
...  
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Cost Effective ◽  
Target Sequence ◽  
Guide Rna ◽  
E Coli ◽  
Genome Wide ◽  
High Throughput Screens ◽  
Target Activity ◽  
Target Effects

Abstract The ability to block gene expression in bacteria with the catalytically inactive mutant of Cas9, known as dCas9, is quickly becoming a standard methodology to probe gene function, perform high-throughput screens, and engineer cells for desired purposes. Yet, we still lack a good understanding of the design rules that determine on-target activity for dCas9. Taking advantage of high-throughput screening data, we fit a model to predict the ability of dCas9 to block the RNA polymerase based on the target sequence, and validate its performance on independently generated datasets. We further design a novel genome wide guide RNA library for E. coli MG1655, EcoWG1, using our model to choose guides with high activity while avoiding guides which might be toxic or have off-target effects. A screen performed using the EcoWG1 library during growth in rich medium improved upon previously published screens, demonstrating that very good performances can be attained using only a small number of well designed guides. Being able to design effective, smaller libraries will help make CRISPRi screens even easier to perform and more cost-effective. Our model and materials are available to the community through crispr.pasteur.fr and Addgene.

scholarly journals Cost-Effective Whole-Cell Assay for Laboratory Evolution of Hydroxylases in Escherichia coli

2001 ◽  
Vol 6 (2) ◽  
pp. 111-117 ◽  
Author(s):  
Ulrich Schwaneberg ◽  
Christopher Otey ◽  
Patrick C. Cirino ◽  
Edgardo Farinas ◽  
Frances H. Arnold
Keyword(s):  
Escherichia Coli ◽  
High Throughput ◽  
High Throughput Screening ◽  
Cost Effective ◽  
Cell Lysis ◽  
Polymyxin B ◽  
E Coli ◽  
Assay Procedure ◽  
Cell Pellet ◽  
Generating System

Cytochrome P450 BM-3 from Bacillus megaterium catalyzes the subterminal hydroxylation of medium- and long-chain fatty acids at the to-1, w-2, and c-3 positions. A continuous spectrophotometric assay for P450 BM-3 based on the conversion of p-nitrophenoxycarboxylic acids (pNCA) to co-oxycarboxylic acids and the chromophore p-nitrophenolate was reported recently. However, this pNCA assay procedure contained steps that limited its application in high throughput screening, including expression of P450 BM-3 variant F87A in 4-ml cultures, centrifugation, resuspension of the cell pellet, and cell lysis. We have shown that permeabilization of the outer membrane of Escherichia coli DH5a with polymyxin B sulfate, EDTA, polyethylenimine, or sodium hexametaphosphate results in rapid conversion of 12-pNCA. A NADPH-generating system consisting of NADP+, D/L-isocitric acid, and the D/L-isocitrate dehydrogenase of E. coli DH5a reduced the cofactor expense more than 10-fold. By avoiding cell lysis, re-suspension, and centrifugation, the high throughput protocol allows screening of thousands of samples per day.

scholarly journals Genome-wide CRISPR-Cas9 screen in E. coli identifies design rules for efficient targeting

2018 ◽  
Author(s):  
Belen Gutierrez ◽  
Jérôme Wong Ng ◽  
Lun Cui ◽  
Christophe Becavin ◽  
David Bikard
Keyword(s):  
Copy Number ◽  
Large Scale ◽  
Mixed Population ◽  
Target Sequence ◽  
Guide Rna ◽  
E Coli ◽  
Genome Wide ◽  
A Genome

AbstractThe main outcome of efficient CRISPR-Cas9 cleavage in the chromosome of bacteria is cell death. This can be conveniently used to eliminate specific genotypes from a mixed population of bacteria, which can be achieved both in vitro, e.g. to select mutants, or in vivo as an antimicrobial strategy. The efficiency with which Cas9 kills bacteria has been observed to be quite variable depending on the specific target sequence, but little is known about the sequence determinants and mechanisms involved. Here we performed a genome-wide screen of Cas9 cleavage in the chromosome of E. coli to determine the efficiency with which each guide RNA kills the cell. Surprisingly we observed a large-scale pattern where guides targeting some regions of the chromosome are more rapidly depleted than others. Unexpectedly, this pattern arises from the influence of degrading specific chromosomal regions on the copy number of the plasmid carrying the guide RNA library. After taking this effect into account, it is possible to train a neural network to predict Cas9 efficiency based on the target sequence. We show that our model learns different features than previous models trained on Eukaryotic CRISPR-Cas9 knockout libraries. Our results highlight the need for specific models to design efficient CRISPR-Cas9 tools in bacteria.

scholarly journals A robust bacterial assay for high-throughput screening of human 4-hydroxyphenylpyruvate dioxygenase inhibitors

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jessie Neuckermans ◽  
Alan Mertens ◽  
Dinja De Win ◽  
Ulrich Schwaneberg ◽  
Joery De Kock
Keyword(s):  
High Throughput ◽  
High Throughput Screening ◽  
Metabolic Disorders ◽  
Cost Effective ◽  
Dependent Manner ◽  
Screening System ◽  
Screening Assay ◽  
E Coli ◽  
High Throughput Screening Assay ◽  
Hereditary Tyrosinemia

Abstract Hereditary tyrosinemia type 1 (HT1) and alkaptonuria (AKU) are inherited metabolic disorders caused by defective enzymes involved in tyrosine catabolism. Nitisinone, an ex-herbicide and member of the β-triketone family, is therapeutically applied to prevent accumulation of toxic metabolites in patients by inhibiting the enzyme 4-hydroxyphenylpyruvate dioxygenase (HPD). Here, we developed a colorimetric bacterial whole-cell screening system that allows quantifying the inhibitory effects of human HPD inhibitors in a high-throughput and a robust fashion. The principle of our screening system is based on the degradation of tyrosine through 4-hydroxyphenylpyruvate into homogentisate by human HPD expressed in E. coli and subsequent production of a soluble melanin-like pigment. With the aim to optimise the assay, we tested different E. coli strains, expression and reaction temperatures, and time-points for supplementing the substrate. We found that in our assay the addition of prototypical β-triketone HPD inhibitors decreases pigment production in a dose-dependent manner with increasing inhibitor concentrations. In addition, plate uniformity, signal variability and spatial uniformity assessment showed that we have developed a robust high-throughput screening assay that is simple to use, cost-effective and enables identification and evaluation of novel therapeutic human HPD inhibitors for the treatment of tyrosine-related metabolic disorders.

ASSESSMENT OF EFFICIENCY AND OFF-TARGET ACTIVITY OF CRISPR/CAS RIBONUCLEOPROTEIN COMPLEXES

2020 ◽  
Author(s):  
Y.V. Mikhaylova ◽  
◽  
M.A. Tyumentseva ◽  
A.A. Shelenkov ◽  
Y.G. Yanushevich ◽  
...  
Keyword(s):  
High Sensitivity ◽  
Correct Choice ◽  
Target Sequence ◽  
Dna Breaks ◽  
Gene Encoding ◽  
Guide Rna ◽  
Guide Rnas ◽  
Ribonucleoprotein Complexes ◽  
Chemokine Receptor Ccr5 ◽  
Target Activity

In this study, we assessed the efficiency and off-target activity of the CRISPR/CAS complex with one of the selected guide RNAs using the CIRCLE-seq technology. The gene encoding the human chemokine receptor CCR5 was used as a target sequence for genome editing. The results of this experiment indicate the correct choice of the guide RNA and efficient work of the CRISPR- CAS ribonucleoprotein complex used. CIRCLE-seq technology has shown high sensitivity compared to bioinformatic methods for predicting off-target activity of CRISPR/CAS complexes. We plan to evaluate the efficiency and off-target activity of CRISPR/CAS ribonucleoprotein complexes with other guide RNAs by slightly adjusting the CIRCLE-seq-technology protocol in order to reduce nonspecific DNA breaks and increase the number of reliable reads.

Large-scale High-throughput Screening Revealed 5'-(carbonylamino)-2,3'- bithiophene-4'-carboxylate as Novel Template for Antibacterial Agents

2020 ◽  
Vol 17 (5) ◽  
pp. 716-724
Author(s):  
Yan A. Ivanenkov ◽  
Renat S. Yamidanov ◽  
Ilya A. Osterman ◽  
Petr V. Sergiev ◽  
Vladimir A. Aladinskiy ◽  
...  
Keyword(s):  
Antibacterial Activity ◽  
High Throughput ◽  
High Throughput Screening ◽  
Large Scale ◽  
Antibacterial Agents ◽  
Sos Response ◽  
Luciferase Assay ◽  
Translational Machinery ◽  
E Coli ◽  
New Class

Background: The key issue in the development of novel antimicrobials is a rapid expansion of new bacterial strains resistant to current antibiotics. Indeed, World Health Organization has reported that bacteria commonly causing infections in hospitals and in the community, e.g. E. Coli, K. pneumoniae and S. aureus, have high resistance vs the last generations of cephalosporins, carbapenems and fluoroquinolones. During the past decades, only few successful efforts to develop and launch new antibacterial medications have been performed. This study aims to identify new class of antibacterial agents using novel high-throughput screening technique. Methods: We have designed library containing 125K compounds not similar in structure (Tanimoto coeff.< 0.7) to that published previously as antibiotics. The HTS platform based on double reporter system pDualrep2 was used to distinguish between molecules able to block translational machinery or induce SOS-response in a model E. coli system. MICs for most active chemicals in LB and M9 medium were determined using broth microdilution assay. Results: In an attempt to discover novel classes of antibacterials, we performed HTS of a large-scale small molecule library using our unique screening platform. This approach permitted us to quickly and robustly evaluate a lot of compounds as well as to determine the mechanism of action in the case of compounds being either translational machinery inhibitors or DNA-damaging agents/replication blockers. HTS has resulted in several new structural classes of molecules exhibiting an attractive antibacterial activity. Herein, we report as promising antibacterials. Two most active compounds from this series showed MIC value of 1.2 (5) and 1.8 μg/mL (6) and good selectivity index. Compound 6 caused RFP induction and low SOS response. In vitro luciferase assay has revealed that it is able to slightly inhibit protein biosynthesis. Compound 5 was tested on several archival strains and exhibited slight activity against gram-negative bacteria and outstanding activity against S. aureus. The key structural requirements for antibacterial potency were also explored. We found, that the unsubstituted carboxylic group is crucial for antibacterial activity as well as the presence of bulky hydrophobic substituents at phenyl fragment. Conclusion: The obtained results provide a solid background for further characterization of the 5'- (carbonylamino)-2,3'-bithiophene-4'-carboxylate derivatives discussed herein as new class of antibacterials and their optimization campaign.

High-Throughput Screening to Identify Small Molecules That Selectively Inhibit APOL1 Protein Level in Podocytes

2021 ◽  
pp. 247255522110262
Author(s):  
Jonathan Choy ◽  
Yanqing Kan ◽  
Steve Cifelli ◽  
Josephine Johnson ◽  
Michelle Chen ◽  
...  
Keyword(s):  
Small Molecule ◽  
High Throughput ◽  
High Throughput Screening ◽  
Screening Strategy ◽  
Time Resolved ◽  
Protein Levels ◽  
Increased Risk ◽  
Compound Screening ◽  
High Throughput Screens ◽  
Screening Library

High-throughput phenotypic screening is a key driver for the identification of novel chemical matter in drug discovery for challenging targets, especially for those with an unclear mechanism of pathology. For toxic or gain-of-function proteins, small-molecule suppressors are a targeting/therapeutic strategy that has been successfully applied. As with other high-throughput screens, the screening strategy and proper assays are critical for successfully identifying selective suppressors of the target of interest. We executed a small-molecule suppressor screen to identify compounds that specifically reduce apolipoprotein L1 (APOL1) protein levels, a genetically validated target associated with increased risk of chronic kidney disease. To enable this study, we developed homogeneous time-resolved fluorescence (HTRF) assays to measure intracellular APOL1 and apolipoprotein L2 (APOL2) protein levels and miniaturized them to 1536-well format. The APOL1 HTRF assay served as the primary assay, and the APOL2 and a commercially available p53 HTRF assay were applied as counterscreens. Cell viability was also measured with CellTiter-Glo to assess the cytotoxicity of compounds. From a 310,000-compound screening library, we identified 1490 confirmed primary hits with 12 different profiles. One hundred fifty-three hits selectively reduced APOL1 in 786-O, a renal cell adenocarcinoma cell line. Thirty-one of these selective suppressors also reduced APOL1 levels in conditionally immortalized human podocytes. The activity and specificity of seven resynthesized compounds were validated in both 786-O and podocytes.

scholarly journals A High-Throughput Approach To Identify Compounds That Impair Envelope Integrity in Escherichia coli

2016 ◽  
Vol 60 (10) ◽  
pp. 5995-6002 ◽  
Author(s):  
Kristin R. Baker ◽  
Bimal Jana ◽  
Henrik Franzyk ◽  
Luca Guardabassi
Keyword(s):  
Escherichia Coli ◽  
High Throughput ◽  
High Throughput Screening ◽  
Gram Negative Bacteria ◽  
Chromogenic Substrate ◽  
Intrinsic Resistance ◽  
Gram Negative ◽  
Content Type ◽  
E Coli ◽  
Screening Platform

ABSTRACTThe envelope of Gram-negative bacteria constitutes an impenetrable barrier to numerous classes of antimicrobials. This intrinsic resistance, coupled with acquired multidrug resistance, has drastically limited the treatment options against Gram-negative pathogens. The aim of the present study was to develop and validate an assay for identifying compounds that increase envelope permeability, thereby conferring antimicrobial susceptibility by weakening of the cell envelope barrier in Gram-negative bacteria. A high-throughput whole-cell screening platform was developed to measureEscherichia colienvelope permeability to a β-galactosidase chromogenic substrate. The signal produced by cytoplasmic β-galactosidase-dependent cleavage of the chromogenic substrate was used to determine the degree of envelope permeabilization. The assay was optimized by using known envelope-permeabilizing compounds andE. coligene deletion mutants with impaired envelope integrity. As a proof of concept, a compound library comprising 36 peptides and 45 peptidomimetics was screened, leading to identification of two peptides that substantially increased envelope permeability. Compound 79 reduced significantly (from 8- to 125-fold) the MICs of erythromycin, fusidic acid, novobiocin and rifampin and displayed synergy (fractional inhibitory concentration index, <0.2) with these antibiotics by checkerboard assays in two genetically distinctE. colistrains, including the high-risk multidrug-resistant, CTX-M-15-producing sequence type 131 clone. Notably, in the presence of 0.25 μM of this peptide, both strains were susceptible to rifampin according to the resistance breakpoints (R> 0.5 μg/ml) for Gram-positive bacterial pathogens. The high-throughput screening platform developed in this study can be applied to accelerate the discovery of antimicrobial helper drug candidates and targets that enhance the delivery of existing antibiotics by impairing envelope integrity in Gram-negative bacteria.

scholarly journals Improved analysis of CRISPR fitness screens and reduced off-target effects with the BAGEL2 gene essentiality classifier

2020 ◽  
Author(s):  
Eiru Kim ◽  
Traver Hart
Keyword(s):  
Dynamic Range ◽  
Quality Data ◽  
Loss Of Function ◽  
Genetic Screens ◽  
Gene Essentiality ◽  
Guide Rna ◽  
Genome Wide ◽  
Improved Model ◽  
Target Effects

AbstractIdentifying essential genes in genome-wide loss of function screens is a critical step in functional genomics and cancer target finding. We previously described the Bayesian Analysis of Gene Essentiality (BAGEL) algorithm for accurate classification of gene essentiality from short hairpin RNA and CRISPR/Cas9 genome wide genetic screens. Here, we introduce an updated version, BAGEL2, which employs an improved model that offers greater dynamic range of Bayes Factors, enabling detection of tumor suppressor genes, and a multi-target correction that reduces false positives from off-target CRISPR guide RNA. We also suggest a metric for screen quality at the replicate level and demonstrate how different algorithms handle lower-quality data in substantially different ways. BAGEL2 is written in Python 3 and source code, along with all supporting files, are available on github (https://github.com/hart-lab/bagel).

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