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Unni, A.

Publications and source records attributed to Unni, A..

5 recordsLinked to original sources

Structural basis of substrate recognition and conformational gating in the bacteriophage M15 metalloendopeptidase LysPH

The rapid emergence of antimicrobial resistance has led to a surge in multidrug-resistant strains, jeopardising the efficacy of frontline and last-resort antibiotics and thereby aggravating the antimicrobial resistance crisis. Bacteriophage-derived endolysins represent a promising class of next-generation antimicrobials. Here, we report the isolation of a novel bacteriophage, PA_Ganga_001, targeting multidrug-resistant Pseudomonas aeruginosa. Genomic sequencing of this phage identified a previously uncharacterised endolysin LysPH, a zinc-dependent globular endolysin that exhibits antibacterial activity against multiple multidrug-resistant Gram-negative pathogens, including Pseudomonas aeruginosa, Acinetobacter baumannii, and Klebsiella pneumoniae. Site-directed mutagenesis of the endolysin LysPH suggests that His77, Asp84, His159, Arg41, and Asp156 are essential for catalysis and substrate accommodation. To understand the structural basis of substrate binding and catalysis, we determined the crystal structures of the apo-enzyme (1.8 [A]) and the catalytically attenuated D156A mutant in complex with a synthetic pentapeptide stem (PGX) of peptidoglycan (2.0 [A]). The pentapeptide-bound complex revealed a defined substrate-binding groove, and a pronounced displacement of the Thr42-Ser75 loop was observed. This led to an approximately six-fold volumetric expansion of the catalytic cleft, indicative of a substrate-induced transition to an open, catalytically competent conformation. Notably, a distinctive C-terminal helical element, which diverges sequentially from characterised M15 homologues, is predicted to interact with the NAG-NAM scaffold and may contribute to the positioning of the stem pentapeptide for Zn2+ dependent catalysis. These distinct structural features establish the molecular basis for L-Ala-D-Glu hydrolysis by M15 bacteriophage endolysins and provide a foundational framework for the rational design and engineering of the next generation of antimicrobial enzymes.

biochemistry↗

BC-Predict Database: A Curated Resource of Experimentally Validated Markers in Multidrug Resistance in Breast Cancer

BackgroundIn this study, we aim to develop a yearly updatable database that could predict chemotherapeutic drug resistance and overall survival probability in breast cancer patients. Existing drug sensitivity databases depend on correlation-based predictions. In our study, candidates involved in drug resistance are chosen based on cell line validation (overexpression or downregulation or inhibition of candidates) studies, curated manually. Method28,773 mRNA expression signatures from 914 breast cancer patients were extracted from cProsite. 106 of these patients had clinical information and log2 fold change information required for this study. We categorized these patients into deceased and surviving groups from TCGA. To prepare a database that can predict drug resistance and overall survival, we included mRNAs that were over-expressed in at least 80% of the breast cancer patients and mRNAs over-expressed in deceased and surviving groups. In addition, we also reported breast cancer-associated drug resistance candidates which have been reported in cell-line based studies. The database matrix preparation involved an approximate of 15000 manual searches of cell validated studies. (750 candidates x 20 drugs). The database was validated using a publicly available breast cancer patient proteomics data. ResultsOur analysis identified a list of top priority candidates associated with multidrug resistance, categorized based on their resistance to >15 drugs, 5-15 drugs, and 2-4 drugs. Analysis of patient profiles in the database revealed that the number of proteins contributing to drug resistance was high in the poor prognosis category compared to the good prognosis category. ConclusionsOur study highlights the probable gaps in breast cancer drug resistance research, as only a small subset of overexpressed mRNA candidates found in patients are studied in vitro or in vivo experiments focusing on drug resistance. We also identified candidates involved in multidrug resistance, whose role in drug resistance has not been studied in more than 15 drugs. After further validations, this will benefit the clinicians and upcoming CRISPR gene therapeutics.

cancer biology↗

LKB1 suppresses growth and promotes the internalization of EGFR through the PIKFYVE lipid kinase

The tumor suppressor LKB1 is a serine/threonine protein kinase that is frequently mutated in human lung adenocarcinoma (LUAD). LKB1 regulates a complex signaling network that is known to control cell polarity and metabolism; however, the pathways that mediate the tumor suppressive activity of LKB1 are incompletely defined. To identify mechanisms of LKB1- mediated growth suppression we developed a spheroid-based cell culture assay to study LKB1- dependent growth. Using this assay, along with genome-wide CRISPR screens and validation with orthogonal methods, we discovered that LKB1 suppresses growth, in part, by activating the PIKFYVE lipid kinase, which promotes the internalization of wild-type EGFR. Our findings reveal a new mechanism of regulation of EGFR, which may have implications for the treatment of LKB1-mutant LUAD.

cancer biology↗

Non-redundant odorant detection in a locust

Olfactory coding, from insects to humans, is canonically considered to involve considerable across-fiber coding already at the peripheral level, thereby allowing recognition of very large numbers of odor compounds. Here we show that the migratory locust, Locusta migratoria, has evolved an alternative strategy built on highly specific odorant receptors feeding into a complex primary processing center in the brain. By collecting odors from food and different life stages of the locust, we identified 208 ecologically relevant odorants, which we used to deorphanize 48 locust olfactory receptors via ectopic expression in Drosophila. Contrary to the often broadly tuned olfactory receptors of other insects, almost all locust receptors were found to be narrowly tuned to one ligand and most of these best ligands exclusively excited only one receptor. Knocking out a single receptor using CRISPR-Cas9 resulted in an abolished physiological and behavioral response to the corresponding ligand. We conclude that the locust olfactory system, with an apparent lack of redundancy among most olfactory receptors, differs from so-far described olfactory systems.

neuroscience↗

Generation of pulmonary neuro-endocrine cells and tumors resembling small cell lung cancers from human embryonic stem cells

SUMMARYBy blocking an important signaling pathway (called NOTCH) and interfering with expression of two tumor suppressor genes in cells derived from human embryonic stem cells, the authors have developed a model for studying highly lethal small cell lung cancers.\n\nABSTRACTCell culture models based on directed differentiation of human embryonic stem cells (hESCs) may reveal why certain constellations of genetic changes drive carcinogenesis in specialized human cell lineages. Here we demonstrate that up to 10 percent of lung progenitor cells derived from hESCs can be induced to form pulmonary neuroendocrine cells (PNECs), the putative normal precursors to small cell lung cancers (SCLCs), by inhibition of NOTCH signaling. By using small inhibitory RNAs in these cultures to reduce levels of retinoblastoma (RB) protein, the product of a gene commonly mutated in SCLCs, we can significantly expand the number of PNECs. Similarly reducing levels of TP53 protein, the product of another tumor suppressor gene commonly mutated in SCLCs, or expressing mutant KRAS or EGFR genes, did not induce or expand PNECs, consistent with lineage-specific sensitivity to loss of RB function. Tumors resembling early stage SCLC grew in immunodeficient mice after subcutaneous injection of PNEC-containing cultures in which expression of both RB and TP53 was blocked. Single-cell RNA profiles of PNECs are heterogeneous; when RB levels are reduced, the profiles show similarities to RNA profiles from early stage SCLC; when both RB and TP53 levels are reduced, the transcriptome is enriched with cell cycle-specific RNAs. Taken together, these findings suggest that genetic manipulation of hESC-derived pulmonary cells will enable studies of the initiation, progression, and treatment of this recalcitrant cancer.

cancer biology↗