Dissection of DNA Damage Responses Using Multiconditional Genetic Interaction Maps

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Highlights? A resource of genetic modules and networks induced by distinct types of DNA damage ? Networks distinguish DNA damage response pathways with high statistical power ? Rtt109, a histone acetyltransferase, affects the mutagenic bypass of DNA lesions ? The neddylation machinery and Irc21 affect cell-cycle control and genome stability     

Lactobacillus rhamnosus GG conditioned media modulates acute reactive oxygen species and nitric oxide in J774 murine macrophages

Phagocytes such as macrophages are capable of detecting and killing pathogenic bacteria by producing reactive oxygen and nitrogen species. Formation of free radicals in macrophages may be regulated by probiotics or by factors released by probiotics but yet to be identified. Thus, studies were carried out to determine whether cell-free conditioned medium obtained from cultures of Lactobacillus rhamnosus GG (LGG-CM) regulate production of reactive oxygen species (ROS) and/or nitric oxide (NO) in macrophages. J774 macrophages in culture were loaded with either H₂DCFDA for monitoring ROS or with DAFFM-DA for NO detection. Free radical production was measured on a fluorescence microplate reader and changes were analysed by Cumulative sum (CuSum) calculations. Low concentration of LGG-CM (10% LGG-CM) or LPS did not cause any significant change in basal levels of ROS or NO production. In contrast, high concentration of LGG-CM (75% and 100%) significantly enhanced ROS generation but also significantly reduced NO level. These findings are novel and suggest for the first time that probiotics may release factors in culture which enhance ROS production and may additionally reduce deleterious effects associated with excessive nitrogen species by suppressing NO level. These events may account, in part, for the beneficial bactericidal and anti-inflammatory actions ascribed to probiotics and may be of clinical relevance.     

MORC2 Interactome: Its Involvement in Metabolism and Cancer

Microrchidia 2 (MORC2) is an emerging chromatin modifier with a role in chromatin remodeling and epigenetic regulation. MORC2 is found to be upregulated in most cancers, playing a significant role in tumorigenesis and tumor metastasis. Recent studies have demonstrated that MORC2 is a scaffolding protein, which interacts with the proteins involved in DNA repair, chromatin remodeling, lipogenesis, and glucose metabolism. In this review, we discuss the domain architecture and cellular and subcellular localization of MORC2. Further, we highlight MORC2-specific interacting partners involved in metabolic reprogramming and other pathological functions such as cancer progression and metastasis.     

Developmental Deformity Due to scalloped Non‐Function in Drosophila Brain Leads to Cognitive Impairment

Neural identity and wiring specificity are fundamental to brain function. Factors affecting proliferation of the progenitor cells leading to an expansion or regression of specific neuronal clusters are expected to challenge the process of formation of precise synaptic connections with their partners and their further integration to result in proper functional neural circuitry. We have investigated the role of scalloped, a Hippo pathway gene in Drosophila brain development and have shown that its function is critical to regulate proliferation of Mushroom Body Neuroblasts and to limit the neuronal cluster size to normal in the fly brain. Here we investigate the consequent effect of the anatomical phenotype of mutant flies on the brain function, as exemplified by their cognitive performance. We demonstrate that the neural expansion in important neural clusters of the olfactory pathway, caused due to Scalloped inactivation, imparts severe disabilities in learning, short‐term memory and long‐term memory. Scalloped knockdown in αβ Kenyon Cell clusters drastically reduces long‐term memory performance. Scalloped deficiency induced neural expansion in antennal lobe and ellipsoid body neurons bring down short‐term memory performance significantly. We also demonstrate that the cognitive impairments observed here are not due to a problem in memory formation or execution in the adult, but are due to the developmental deformities caused in the respective class of neurons. Our results strongly indicate that the additional neurons generated by Scalloped inactivation are not synergistically integrated into, but rather perturb the formation of precise functional circuitry.     

Modeling the structure of the frameshift-stimulatory pseudoknot in SARS-CoV-2 reveals multiple possible conformers

The coronavirus causing the COVID-19 pandemic, SARS-CoV-2, uses −1 programmed ribosomal frameshifting (−1 PRF) to control the relative expression of viral proteins. As modulating −1 PRF can inhibit viral replication, the RNA pseudoknot stimulating −1 PRF may be a fruitful target for therapeutics treating COVID-19. We modeled the unusual 3-stem structure of the stimulatory pseudoknot of SARS-CoV-2 computationally, using multiple blind structural prediction tools followed by μs-long molecular dynamics simulations. The results were compared for consistency with nuclease-protection assays and single-molecule force spectroscopy measurements of the SARS-CoV-1 pseudoknot, to determine the most likely conformations. We found several possible conformations for the SARS-CoV-2 pseudoknot, all having an extended stem 3 but with different packing of stems 1 and 2. Several conformations featured rarely-seen threading of a single strand through junctions formed between two helices. These structural models may help interpret future experiments and support efforts to discover ligands inhibiting −1 PRF in SARS-CoV-2.     

The ApoE gene of Alzheimer's disease (AD)

The ApoE gene responsible for the Alzheimer's disease has been examined to identify functional consequences of single-nucleotide polymorphisms (SNPs). Eighty-eight SNPs have been identified in the ApoE gene in which 31 are found to be nonsynonymous, 8 of them are coding synonymous, 33 are found to be in intron, and 3 are in untranslated region. The SNPs found in the untranslated region consisted of two SNPs from 5′ and one SNP from the 3′. Twenty-nine percent of the identified nsSNPs have been reported as damaging. In the analysis of SNPs in the UTR regions, it has been recognized that rs72654467 from 5′ and rs71673244 from 5′ and 3′ are responsible for the alteration in levels of expression. Both native and mutant protein structures were analyzed along with the stabilization residues. It has been concluded that among all SNPs of ApoE, the mutation in rs11542041 (R132S) has the most significant effect on functional variation.     

Ligand-based and structure-based approaches in identifying ideal pharmacophore against c-Jun N-terminal kinase-3

Structure and ligand based pharmacophore modeling and docking studies carried out using diversified set of c-Jun N-terminal kinase-3 (JNK3) inhibitors are presented in this paper. Ligand based pharmacophore model (LBPM) was developed for 106 inhibitors of JNK3 using a training set of 21 compounds to reveal structural and chemical features necessary for these molecules to inhibit JNK3. Hypo1 consisted of two hydrogen bond acceptors (HBA), one hydrogen bond donor (HBD), and a hydrophobic (HY) feature with a correlation coefficient (r²) of 0.950. This pharmacophore model was validated using test set containing 85 inhibitors and had a good r² of 0.846. All the molecules were docked using Glide software and interestingly, all the docked conformations showed hydrogen bond interactions with important hinge region amino acids (Gln155 and Met149) and these interactions were compared with Hypo1 features. The results of ligand based pharmacophore model (LBPM) and docking studies are validated each other. The structure based pharmacophore model (SBPM) studies have identified additional features, two hydrogen bond donors and one hydrogen bond acceptor. The combination of these methodologies is useful in designing ideal pharmacophore which provides a powerful tool for the discovery of novel and selective JNK3 inhibitors.     

Assembling global maps of cellular function through integrative analysis of physical and genetic networks

To take full advantage of high-throughput genetic and physical interaction mapping projects, the raw interactions must first be assembled into models of cell structure and function. PanGIA (for physical and genetic interaction alignment) is a plug-in for the bioinformatics platform Cytoscape, designed to integrate physical and genetic interactions into hierarchical module maps. PanGIA identifies 'modules' as sets of proteins whose physical and genetic interaction data matches that of known protein complexes. Higher-order functional cooperativity and redundancy is identified by enrichment for genetic interactions across modules. This protocol begins with importing interaction networks into Cytoscape, followed by filtering and basic network visualization. Next, PanGIA is used to infer a set of modules and their functional inter-relationships. This module map is visualized in a number of intuitive ways, and modules are tested for functional enrichment and overlap with known complexes. The full protocol can be completed between 10 and 30 min, depending on the size of the data set being analyzed.