Browse
Submit Data
Databases
API
Help

Dataset Information

27 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Engineering Forward Genetics into Cultured Cancer Cells for Chemical Target Identification.

ABSTRACT: Target identification for biologically active small molecules remains a major barrier for drug discovery. Cancer cells exhibiting defective DNA mismatch repair (dMMR) have been used as a forward genetics system to uncover compound targets. However, this approach has been limited by the dearth of cancer cell lines that harbor naturally arising dMMR. Here, we establish a platform for forward genetic screening using CRISPR/Cas9 to engineer dMMR into mammalian cells. We demonstrate the utility of this approach to identify mechanisms of drug action in mouse and human cancer cell lines using in vitro selections against three cellular toxins. In each screen, compound-resistant alleles emerged in drug-resistant clones, supporting the notion that engineered dMMR enables forward genetic screening in mammalian cells.

SUBMITTER: Povedano JM

PROVIDER: S-EPMC6866228 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Engineering Forward Genetics into Cultured Cancer Cells for Chemical Target Identification.

Povedano Juan Manuel JM Liou Joel J Wei David D Srivatsav Ashwin A Kim Jiwoong J Xie Yang Y Nijhawan Deepak D McFadden David G DG

Cell chemical biology 20190711 9

Target identification for biologically active small molecules remains a major barrier for drug discovery. Cancer cells exhibiting defective DNA mismatch repair (dMMR) have been used as a forward genetics system to uncover compound targets. However, this approach has been limited by the dearth of cancer cell lines that harbor naturally arising dMMR. Here, we establish a platform for forward genetic screening using CRISPR/Cas9 to engineer dMMR into mammalian cells. We demonstrate the utility of th ...[more]

PMID: 31303577

Similar Datasets

Forward chemical genetics in yeast for discovery of chemical probes targeting metabolism.

Project description:The many virtues that made the yeast Saccharomyces cerevisiae a dominant model organism for genetics and molecular biology, are now establishing its role in chemical genetics. Its experimental tractability (i.e., rapid doubling time, simple culture conditions) and the availability of powerful tools for drug-target identification, make yeast an ideal organism for high-throughput phenotypic screening. It may be especially applicable for the discovery of chemical probes targeting highly conserved cellular processes, such as metabolism and bioenergetics, because these probes would likely inhibit the same processes in higher eukaryotes (including man). Importantly, changes in normal cellular metabolism are associated with a variety of diseased states (including neurological disorders and cancer), and exploiting these changes for therapeutic purposes has accordingly gained considerable attention. Here, we review progress and challenges associated with forward chemical genetic screening in yeast. We also discuss evidence supporting these screens as a useful strategy for discovery of new chemical probes and new druggable targets related to cellular metabolism.

| S-EPMC3539408 | biostudies-literature

Chemical genetics screening reveals KIAA1363 as a cytokine-lowering target.

Project description:Inflammation is a hallmark of many human diseases, including pain, arthritis, atherosclerosis, obesity and diabetes, cancer, and neurodegenerative diseases. Although there are several successfully marketed small molecules anti-inflammatory drugs such as cyclooxygenase inhibitors and glucocorticoids, many of these compounds are also associated with various adverse cardiovascular or immunosuppressive side effects. Thus, identifying novel anti-inflammatory small molecules and their targets is critical for developing safer and more effective next-generation treatment strategies for inflammatory diseases. Here, we have conducted a chemical genetics screen to identify small molecules that suppress the release of the inflammatory cytokine TNFα from stimulated macrophages. We have used an enzyme class-directed chemical library for our screening efforts to facilitate subsequent target identification using activity-based protein profiling (ABPP). Using this strategy, we have found that KIAA1363 is a novel target for lowering key pro-inflammatory cytokines through affecting key ether lipid metabolism pathways. Our study highlights the application of combining chemical genetics with chemoproteomic and metabolomic approaches toward identifying and characterizing anti-inflammatory smal molecules and their targets.

| S-EPMC4273974 | biostudies-literature

Soybean fast neutron genotyping: 700k Forward genetics

Project description:CGH was used to compare induced structural variation among soybean fast neutron lines, developed in background M92-220.

2011-08-02 | GSE31038 | GEO

Soybean fast neutron genotyping: 700k Forward genetics

Project description:CGH was used to compare induced structural variation among soybean fast neutron lines, developed in background M92-220. 114 different soybean fast neutron lines were hybridized against the parental reference genotype M92-220. The soybean tiling array consists of 700k probes, spaced at approximately 1.1 kb intervals.

2011-08-01 | E-GEOD-31038 | biostudies-arrayexpress

Forward and reverse genetics through derivation of haploid mouse embryonic stem cells.

Project description:All somatic mammalian cells carry two copies of chromosomes (diploidy), whereas organisms with a single copy of their genome, such as yeast, provide a basis for recessive genetics. Here we report the generation of haploid mouse ESC lines from parthenogenetic embryos. These cells carry 20 chromosomes, express stem cell markers, and develop into all germ layers in vitro and in vivo. We also developed a reversible mutagenesis protocol that allows saturated genetic recessive screens and results in homozygous alleles. This system allowed us to generate a knockout cell line for the microRNA processing enzyme Drosha. In a forward genetic screen, we identified Gpr107 as a molecule essential for killing by ricin, a toxin being used as a bioweapon. Our results open the possibility of combining the power of a haploid genome with pluripotency of embryonic stem cells to uncover fundamental biological processes in defined cell types at a genomic scale.

| S-EPMC4008724 | biostudies-literature

Chemical genetics identify eIF2? kinase heme-regulated inhibitor as an anticancer target.

Project description:Translation initiation plays a critical role in cellular homeostasis, proliferation, differentiation and malignant transformation. Consistently, increasing the abundance of the eIF2-GTP-tRNA(i)(Met) translation initiation complex transforms normal cells and contributes to cancer initiation and the severity of some anemias. The chemical modifiers of the eIF2-GTP-tRNA(i)(Met) ternary complex are therefore invaluable tools for studying its role in the pathobiology of human disorders and for determining whether this complex can be pharmacologically targeted for therapeutic purposes. Using a cell-based assay, we identified N,N'-diarylureas as unique inhibitors of ternary complex accumulation. Direct functional-genetic and biochemical evidence demonstrated that the N,N'-diarylureas activate heme-regulated inhibitor kinase, thereby phosphorylating eIF2? and reducing the abundance of the ternary complex. Using tumor cell proliferation in vitro and tumor growth in vivo as paradigms, we demonstrate that N,N'-diarylureas are potent and specific tools for studying the role of eIF2-GTP-tRNA(i)(Met) ternary complex in the pathobiology of human disorders.

| S-EPMC3684262 | biostudies-literature

Identification of Inhibitors of Auxin Transcriptional Activation via Chemical Genetics in Arabidopsis

Project description:Approximately 2.5 mg dry Col-0 seedlings were surface sterilized and stratified for 2 days at 4degreesC in liquid media containing 1.5% sucrose (w/v) before being transferred to light with constant shaking at 100 rpm on an orbital shaker. After 7 days, the seedling clusters were subjected to the treatments for 1 hr followed by total RNA isolation using the RNAqueous kit (Ambion). Each treatment was performed in triplicate or quadruplicate. All labeling (Enzo) and hybridization (Affymetrix) procedures were performed as directed by the manufacturers. Raw probe intensities output by the Affymetrix MAS software were processed using the RMA algorithm to obtain an expression measure for each gene on each array. Keywords: repeat sample

2004-06-23 | GSE1491 | GEO

A simplified transposon mutagenesis method to perform phenotypic forward genetic screens in cultured cells.

Project description:BackgroundThe introduction of genome-wide shRNA and CRISPR libraries has facilitated cell-based screens to identify loss-of-function mutations associated with a phenotype of interest. Approaches to perform analogous gain-of-function screens are less common, although some reports have utilized arrayed viral expression libraries or the CRISPR activation system. However, a variety of technical and logistical challenges make these approaches difficult for many labs to execute. In addition, genome-wide shRNA or CRISPR libraries typically contain of hundreds of thousands of individual engineered elements, and the associated complexity creates issues with replication and reproducibility for these methods.ResultsHere we describe a simple, reproducible approach using the SB transposon system to perform phenotypic cell-based genetic screens. This approach employs only three plasmids to perform unbiased, whole-genome transposon mutagenesis. We also describe a ligation-mediated PCR method that can be used in conjunction with the included software tools to map raw sequence data, identify candidate genes associated with phenotypes of interest, and predict the impact of recurrent transposon insertions on candidate gene function. Finally, we demonstrate the high reproducibility of our approach by having three individuals perform independent replicates of a mutagenesis screen to identify drivers of vemurafenib resistance in cultured melanoma cells.ConclusionsCollectively, our work establishes a facile, adaptable method that can be performed by labs of any size to perform robust, genome-wide screens to identify genes that influence phenotypes of interest.

| S-EPMC6580595 | biostudies-literature

A forward genetics screen identifies modifiers of Rocaglate responsiveness

Project description:Rocaglates are a class of eukaryotic translation initiation inhibitors that are being explored as chemotherapeutic agents. They function by targeting eukaryotic initiation factor (eIF) 4A, an RNA helicase critical for recruitment of the 40S ribosome (and associated factors) to mRNA templates. To appreciate how rocaglates could best be enabled in the clinic, an understanding of resistance mechanisms is important, as this could inform on strategies to bypass such events as well as responsive tumor types. In performing a forward genetics screen using a cDNA library, we identified FOXP3 to be a gene of interest. As FOXP3 is a known transcriptional regulator, understandings its impacts on the transcriptional landscape was a logical undertaking in elucidating the resistance mechanis. Here, we report on the RNAseq results in Hap1 cells overexpressing FOXP3 compared to a negative control cell line expressing GFP. We find that certain genes involved in response to drug, such as ABCB1 (P-glycoprotein), are potently upregulated in a FOXP3-overexpression setting.

2021-09-22 | GSE167242 | GEO

Reverse Chemical Genetics: Comprehensive Fitness Profiling Reveals the Spectrum of Drug Target Interactions.

Project description:The emergence and prevalence of drug resistance demands streamlined strategies to identify drug resistant variants in a fast, systematic and cost-effective way. Methods commonly used to understand and predict drug resistance rely on limited clinical studies from patients who are refractory to drugs or on laborious evolution experiments with poor coverage of the gene variants. Here, we report an integrative functional variomics methodology combining deep sequencing and a Bayesian statistical model to provide a comprehensive list of drug resistance alleles from complex variant populations. Dihydrofolate reductase, the target of methotrexate chemotherapy drug, was used as a model to identify functional mutant alleles correlated with methotrexate resistance. This systematic approach identified previously reported resistance mutations, as well as novel point mutations that were validated in vivo. Use of this systematic strategy as a routine diagnostics tool widens the scope of successful drug research and development.

| S-EPMC5010250 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data