synthetic genetic array
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2021 ◽  
Author(s):  
◽  
Liam D P Sampson

<p>The discovery and characterisation of novel small molecule drug candidates is a medical priority. Recent advances in synthetic organic chemistry allow the de novo production of diversity oriented synthetic compound libraries and synthetic modification of natural products to provide candidate compounds for screening as potential therapeutics, bioactive agents or genetic probes. Small drugs function through interaction with complex genetic networks and pathways. However, it is difficult to characterise these interactions on a genome wide level to achieve understanding of drug mechanism. Here, discovery based approaches are utilised to achieve system wide parsing of biological mechanism, in an attempt to characterise the action of novel synthetic compounds and natural product derivatives. Chemical genomic analysis allows for such understanding by examining growth profiles of a genomic deletion library of Saccharomyces cerevisiae mutants in the presence of sub-inhibitory concentrations of drug. The gene targets of small molecule compounds can be identified by noting deletion strains which display increased sensitivity, indicating chemical interaction with the associated gene network. In addition, the development and characterisation of resistant mutants can be used to identify putative drug targets. In this strategy, characterisation of the mechanism of resistance gives insight into drug mode-of-action. This study develops a high throughput yeast inhibition assay to identify bioactive compounds from a synthetic organic compound library, and attempts to characterise mechanism of action by establishing a profile of each compound’s interaction with these gene networks; and mapping a resistance mutation to provide evidence of inhibitory mechanism. Two candidate compounds are identified, FC-592 and FC-888. FC-592 displayed cytostatic inhibition. Further, yeast tag microarray homozygous profiling (HOP), chemical structure analysis, and cell-cycle analysis via flow cytometry for this compound provided evidence for a mechanism of poor specificity that targets glycoprotein biosynthesis and the secretory (Sec) pathway, as well as the cell-division cycle (CDC) pathway. Attempts to characterise a mutant resistant to this compound via synthetic genetic array mapping were unsuccessful when the resistance mutation proved to mediate a slow growth phenotype, abrogating the Synthetic Genetic Array Mapping approach utilised. Pending further analysis, it is suggested that this compound could have a role as a genetic probe in future exploration of the Sec and CDC pathways. Chemical structure analysis and a non-specific HOP screen chemigenomic profile suggested that FC-888 is an alkylating agent with a broad affinity for cellular nucleophiles. The compound demonstrates cytotoxic activity, and its efflux is not mediated by the pleiotropic drug resistance (PDR) network. It is suggested that the compound could find utility as a probe dissecting processes related to cellular defence against non-DNA specific alkylation.</p>


2021 ◽  
Author(s):  
◽  
Liam D P Sampson

<p>The discovery and characterisation of novel small molecule drug candidates is a medical priority. Recent advances in synthetic organic chemistry allow the de novo production of diversity oriented synthetic compound libraries and synthetic modification of natural products to provide candidate compounds for screening as potential therapeutics, bioactive agents or genetic probes. Small drugs function through interaction with complex genetic networks and pathways. However, it is difficult to characterise these interactions on a genome wide level to achieve understanding of drug mechanism. Here, discovery based approaches are utilised to achieve system wide parsing of biological mechanism, in an attempt to characterise the action of novel synthetic compounds and natural product derivatives. Chemical genomic analysis allows for such understanding by examining growth profiles of a genomic deletion library of Saccharomyces cerevisiae mutants in the presence of sub-inhibitory concentrations of drug. The gene targets of small molecule compounds can be identified by noting deletion strains which display increased sensitivity, indicating chemical interaction with the associated gene network. In addition, the development and characterisation of resistant mutants can be used to identify putative drug targets. In this strategy, characterisation of the mechanism of resistance gives insight into drug mode-of-action. This study develops a high throughput yeast inhibition assay to identify bioactive compounds from a synthetic organic compound library, and attempts to characterise mechanism of action by establishing a profile of each compound’s interaction with these gene networks; and mapping a resistance mutation to provide evidence of inhibitory mechanism. Two candidate compounds are identified, FC-592 and FC-888. FC-592 displayed cytostatic inhibition. Further, yeast tag microarray homozygous profiling (HOP), chemical structure analysis, and cell-cycle analysis via flow cytometry for this compound provided evidence for a mechanism of poor specificity that targets glycoprotein biosynthesis and the secretory (Sec) pathway, as well as the cell-division cycle (CDC) pathway. Attempts to characterise a mutant resistant to this compound via synthetic genetic array mapping were unsuccessful when the resistance mutation proved to mediate a slow growth phenotype, abrogating the Synthetic Genetic Array Mapping approach utilised. Pending further analysis, it is suggested that this compound could have a role as a genetic probe in future exploration of the Sec and CDC pathways. Chemical structure analysis and a non-specific HOP screen chemigenomic profile suggested that FC-888 is an alkylating agent with a broad affinity for cellular nucleophiles. The compound demonstrates cytotoxic activity, and its efflux is not mediated by the pleiotropic drug resistance (PDR) network. It is suggested that the compound could find utility as a probe dissecting processes related to cellular defence against non-DNA specific alkylation.</p>


2021 ◽  
Vol 16 (2) ◽  
pp. 1219-1250
Author(s):  
Elena Kuzmin ◽  
Mahfuzur Rahman ◽  
Benjamin VanderSluis ◽  
Michael Costanzo ◽  
Chad L. Myers ◽  
...  

2020 ◽  
Vol 10 (12) ◽  
pp. 4359-4368
Author(s):  
Elsbeth Sanders ◽  
Phoebe A. Nguyen ◽  
Cody M. Rogers ◽  
Matthew L. Bochman

Most eukaryotic genomes encode multiple RecQ family helicases, including five such enzymes in humans. For many years, the yeast Saccharomyces cerevisiae was considered unusual in that it only contained a single RecQ helicase, named Sgs1. However, it has recently been discovered that a second RecQ helicase, called Hrq1, resides in yeast. Both Hrq1 and Sgs1 are involved in genome integrity, functioning in processes such as DNA inter-strand crosslink repair, double-strand break repair, and telomere maintenance. However, it is unknown if these enzymes interact at a genetic, physical, or functional level as demonstrated for their human homologs. Thus, we performed synthetic genetic array (SGA) analyses of hrq1Δ and sgs1Δ mutants. As inactive alleles of helicases can demonstrate dominant phenotypes, we also performed SGA analyses on the hrq1-K318A and sgs1-K706A ATPase/helicase-null mutants, as well as all combinations of deletion and inactive double mutants. We crossed these eight query strains (hrq1Δ, sgs1Δ, hrq1-K318A, sgs1-K706A, hrq1Δ sgs1Δ, hrq1Δ sgs1-K706A, hrq1-K318A sgs1Δ, and hrq1-K318A sgs1-K706A) to the S. cerevisiae single gene deletion and temperature-sensitive allele collections to generate double and triple mutants and scored them for synthetic positive and negative genetic effects based on colony growth. These screens identified hundreds of synthetic interactions, supporting the known roles of Hrq1 and Sgs1 in DNA repair, as well as suggesting novel connections to rRNA processing, mitochondrial DNA maintenance, transcription, and lagging strand synthesis during DNA replication.


2020 ◽  
Author(s):  
Elsbeth Sanders ◽  
Phoebe A. Nguyen ◽  
Cody M. Rogers ◽  
Matthew L. Bochman

ABSTRACTMost eukaryotic genomes encode multiple RecQ family helicases, including five such enzymes in humans. For many years, the yeast Saccharomyces cerevisiae was considered unusual in that it only contained a single RecQ helicase, named Sgs1. However, it has recently been discovered that a second RecQ helicase, called Hrq1, resides in yeast. Both Hrq1 and Sgs1 are involved in genome integrity, functioning in processes such as DNA inter-strand crosslink repair, double-strand break repair, and telomere maintenance. However, it is unknown if these enzymes interact at a genetic, physical, or functional level as demonstrated for their human homologs. Thus, we performed synthetic genetic array (SGA) analyses of hrq1Δ and sgs1Δ mutants. As inactive alleles of helicases can demonstrate dominant phenotypes, we also performed SGA analyses on the hrq1-K318A and sgs1-K706A ATPase/helicase-null mutants, as well as all combinations of deletion and inactive double mutants. We crossed these eight query strains (hrq1Δ, sgs1Δ, hrq1-K318A, sgs1-K706A, hrq1Δ sgs1Δ, hrq1Δ sgs1-K706A, hrq1-K318A sgs1Δ, and hrq1-K318A sgsl-K706A) to the S. cerevisiae single gene deletion and temperature-sensitive allele collections to generate double and triple mutants and scored them for synthetic positive and negative genetic effects based on colony growth. These screens identified hundreds of synthetic interactions, supporting the known roles of Hrq1 and Sgs1 in DNA repair, as well as suggesting novel connections to rRNA processing, mitochondrial DNA maintenance, transcription, and lagging strand synthesis during DNA replication.


2019 ◽  
Vol 29 (8) ◽  
pp. 1343-1351
Author(s):  
Chung-Shu Yeh ◽  
Zhifeng Wang ◽  
Fang Miao ◽  
Hongyan Ma ◽  
Chung-Ting Kao ◽  
...  

2017 ◽  
Vol 199 (20) ◽  
Author(s):  
Julius Judd ◽  
Nathalie Boucher ◽  
Erik Van Roey ◽  
Todd A. Gray ◽  
Keith M. Derbyshire

ABSTRACT Genetic redundancy can obscure phenotypic effects of single-gene mutations. Two individual mutations may be viable separately but are lethal when combined, thus synthetically linking the two gene products in an essential process. Synthetic genetic arrays (SGAs), in which defined mutations are combined, provide a powerful approach to identify novel genetic interactions and redundant pathways. A genome-scale SGA can offer an initial assignment of function to hypothetical genes by uncovering interactions with known genes or pathways. Here, we take advantage of the chromosomal conjugation system of Mycobacterium smegmatis to combine individual donor and recipient mutations on a genome-wide scale. We demonstrated the feasibility of a high-throughput mycobacterial SGA (mSGA) screen by using mutants of esx3, fxbA, and recA as query genes, which were combined with an arrayed library of transposon mutants by conjugation. The mSGA identified interacting genes that we had predicted and, most importantly, identified novel interacting genes—encoding both proteins and a noncoding RNA (ncRNA). In combination with other molecular genetic approaches, the mSGA has great potential to both reduce the high number of conserved hypothetical protein annotations in mycobacterial genomes and further define mycobacterial pathways and gene interactions. IMPORTANCE Mycobacterium smegmatis is the model organism of choice for the study of mycobacterial pathogens, because it is a fast-growing nonpathogenic species harboring many genes that are conserved throughout mycobacteria. In this work, we describe a synthetic genetic array (mSGA) approach for M. smegmatis, which combines mutations on a genome-wide scale with high efficiency. Analysis of the double mutant strains enables the identification of interacting genes and pathways that are normally hidden by redundant biological pathways. The mSGA is a powerful genetic tool that enables functions to be assigned to the many conserved hypothetical genes found in all mycobacterial species.


2016 ◽  
Vol 2016 (4) ◽  
pp. pdb.prot088807 ◽  
Author(s):  
Elena Kuzmin ◽  
Michael Costanzo ◽  
Brenda Andrews ◽  
Charles Boone

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