High-throughput screeningGenetic interactions mediate the emergence of phenotype from genotype, but technologies for combinatorial genetic perturbation in mammalian cells are challenging to scale. Here, we identify background-independent paralog synthetic lethals from previous CRISPR genetic interaction screens,...
M. et al. Exploring genetic interaction manifolds constructed from rich single-cell phenotypes. Science 365, 786–793 (2019). Article CAS PubMed PubMed Central Google Scholar Datlinger, P. et al. Ultra-high-throughput single-cell RNA sequencing and perturbation screening with combinatorial ...
alters or ablates its function, and mimics a mutation. Thus, a drug can be paired with a deletion mutation to screen for hypersensitive epistatic interaction profiles en masse in deletion libraries to provide information on the target and buffering mechanisms of the drug.29We obtained chemical...
epistasis (redirected fromGenetic interactions) Thesaurus Medical Encyclopedia e·pis·ta·sis (ĭ-pĭs′tə-sĭs) n.pl.e·pis·ta·ses(-sēz′) 1.An interaction between nonallelic genes in which the genotype at one locus affects the expression of alleles at another locus. ...
(MGED), nonlinear modeling of these interactions is now feasible. Two of the latest advances in nonlinear modeling used sigmoid models to depict transcriptional interaction of a transcription factor (TF) for a target gene, but do not model cooperative or competitive interactions of several TFs for...
Thus, we constructed protein–protein interaction (PPI) networks of proposed resistant or sensitive genes and PARP1/2/3. Most drug response genes directly or indirectly interacted with PARP1/2/3, especially cancer-related genes (e.g., EGFR, ABL1, and RB1) and DNA damage repair (DDR) ...
应用上,他们applied TAP-seq to generate dense enhancer–promoter interaction maps within 2.5% of the human genome, screening over 7,000 distinct CRISPRi perturbations。并且同时,TAP-seq is applicable to a broad range of functional genomics applications, including studies of gene regulatory networks,sign...
While our DEG network analysis approach addresses the shortcomings of traditional DGEA, it is inherently dependent on the availability of protein interaction data and not highly sensitive to small intermediary transcriptomic changes across time-series data. To provide an alternative tool that overcomes the...
Dandara C, Li DP, Walther G, Parker MI (2006) Gene–environment interaction: the role of SULT1A1 and CYP3A5 polymorphisms as risk modifiers for squamous cell carcinoma of the oesophagus. Carcinogenesis 27:791–797 PubMed CAS Google Scholar Dardari R, Khyatti M, Jouhadi H, Benider A, ...
direction, i.e. both exotic alleles increased or decreased flowering time. In addition, a two-dimensional epistasis scan was carried out to identify pairwise marker interactions. For this, the GWAS Model-B was extended to cover a second main SNP effect and the interaction effect between the ...