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Biology subjects

Munshi, A.

Publications and source records attributed to Munshi, A..

5 recordsLinked to original sources

Influenza virus Non Structural protein 1 (NS1) Chaperones Nucleoprotein (NP) Oligomerization to Coordinate Ribonucleoprotein Assembly and Genome Replication

Influenza virus nucleoprotein (NP) co-transcriptionally enwraps viral genomic/antigenomic RNAs to assemble viral ribonucleoprotein complexes (RNPs), while the non-structural protein-1 (NS1) is classically recognized as an antagonist of host antiviral responses. Although NP-NS1 interaction has long been reported, the molecular basis of this protein-protein interaction and its relevance in the virus life cycle remain elusive. Here, we define the NP-NS1 interaction interface and uncover a noncanonical role of NS1 in regulating RNP assembly and viral genome replication. Using integrated biochemical, biophysical, and structural analyses, we demonstrate that the RNA-binding domain (RBD) of NS1 directly engages the NP tail-loop, conferring high affinity for monomeric NP. Functional assays reveal that a cytoplasm-restricted NS1 variant acts as an NP-specific chaperone by stabilizing monomeric NP through sequestration of its intrinsically flexible tail-loop and by scaffolding NP-NP interactions. During influenza virus infection, phosphorylation at the homotypic interface restricts NP in a replication-competent monomeric state. Cytoplasmic NS1 recruits these phosphorylated monomeric NPs into assembling RNPs, thereby facilitating viral genome replication and virus propagation. Collectively, our findings establish NS1 as a selective cytoplasmic chaperone of NP and reveal a novel regulatory axis governing influenza virus RNP biogenesis and replication.

molecular biology↗

Disruption of PI3K/OxPhos Coupling by Trehalose Drives a BCAA to Lipid Metabolic Switch in Hormone Receptor Positive Breast Cancer

Cancer cells sustain proliferation through dynamic coordination between mitochondrial oxidative phosphorylation (OxPhos) and anabolic carbon metabolism. How this metabolic coupling can be selectively destabilized in subtype-specific contexts remains poorly defined. Here we identify trehalose, a disaccharide previously linked to autophagy modulation, as a regulator of mitochondrial-anabolic integration in breast cancer. Using high-resolution respirometry, untargeted metabolomics, and signalling analyses across estrogen/progesterone receptor-positive (ER) and triple-negative models, we show that trehalose preferentially impairs mitochondrial bioenergetics in OxPhos-dependent ER cells. Trehalose reduced electron transport system capacity, NADH-linked respiration, mitochondrial membrane potential, and coupling efficiency, while suppressing mitochondrial biogenesis markers. These bioenergetic effects coincided with attenuation of PI3K/Akt signalling and induction of p21-associated growth arrest. Metabolomic profiling revealed a coordinated redistribution of carbon flux characterized by depletion of branched-chain amino acids (BCAAs) and glycolytic intermediates alongside accumulation of long-chain fatty acids and cholesterol. Correlation network analysis uncovered a strong inverse relationship between BCAA-linked metabolism and lipid abundance, indicating a regulated metabolic trade-off rather than nonspecific stress. Functionally, trehalose enhanced the efficacy of mitochondrial-interfering agents such as tamoxifen and colchicine, while exerting minimal effects in metabolically flexible triple-negative cells. Together, these findings define trehalose as a metabolic modulator that constrains mitochondrial plasticity and enforces a lipid-buffered, growth-restrictive state in ER breast cancer, revealing a therapeutic vulnerability linked to mitochondrial dependency.

cancer biology↗

RUNX2 inhibition disrupts a PAX3::FOXO1-RUNX2 feed-forward loop and dismantles oncogenic gene programs in fusion-positive rhabdomyosarcoma

Fusion-positive rhabdomyosarcoma is an aggressive pediatric cancer of skeletal muscle lineage, with a 5-year overall survival of <30% for high-risk disease, and <8% when metastatic. The PAX3::FOXO1 fusion gene, resulting from t(2:13), is a signature driver of fusion-positive rhabdomyosarcoma, but similar to other transcription-factor based fusion genes in other cancers, not currently pharmacologically tractable. To identify novel druggable proteins in fusion-positive rhabdomyosarcoma tumor tissue and cell lines, we performed mRNA-seq of RMS patient tumors and utilizing the human FP-RMS cell lines Rh30 and Rh4, found that the RUNX2 transcription factor was the top druggable dependency. In vitro loss of function studies using genetic (RNAi) or pharmacologic (small molecule CADD522) inhibition showed that RUNX2 suppression inhibited FP-RMS cell growth, induced myogenic differentiation and apoptosis, and phenocopied PAX3::FOXO1 suppression. In vivo loss of function studies using conditional (dox-inducible) or pharmacologic (small molecule CADD522) blockade of tumor growth in a xenograft model system showed that RUNX2 suppression inhibited tumor growth. Mechanistically, we identify a PAX3::FOXO1 feed-forward loop whereby PAX3::FOXO1 binds a RUNX2 enhancer to upregulate gene expression alongside MYOD1, while RUNX2 expression supports the expression of PAX3::FOXO1 at the mRNA and protein level. SignificanceRUNX2 inhibition reduces PAX3::FOXO1 expression and signaling, which impairs fusion-positive rhabdomyosarcoma oncogenic phenotypes. In vivo treatment with CADD522 decreased tumor growth and increased survival, indicating that RUNX2 is a promising therapeutic target.

cancer biology↗

Rapid multilocus adaptation of clonal cabbage leaf curl virus populations to Arabidopsis thaliana

Cabbage leaf curl virus (CabLCV) has a bipartite single-stranded DNA genome and infects the model plant Arabidopsis thaliana. CabLCV serves as a model for the genus Begomovirus, members of which cause tremendous crop losses worldwide. We have used CabLCV as a model for within-plant virus evolution by inoculating individual plants with infectious clones of either a wild-type or mutagenized version of the CabLCV genome. Consistent with previous reports, detrimental substitutions in the Replication-associated gene (Rep) were readily compensated for by direct reversion and/or alternative mutations. A surprising number of common mutations were detected elsewhere in both viral segments (DNA-A and DNA-B) indicating convergent evolution and suggesting that CabLCV may not be as well adapted to A. thaliana as commonly presumed. Consistent with this idea, a spontaneous coat protein variant consistently rose to high allele frequency in susceptible accession Col-0, at a higher rate than in hypersusceptible accession Sei-0. Numerous high-frequency mutations were also detected in a candidate Rep binding site in DNA-B. Our results reinforce the fact that spontaneous mutation of this type of virus occurs rapidly and can change the majority consensus sequence of a within-plant virus population in weeks.

evolutionary biology↗

Dynamics of the COVID -19 Related Publications

BackgroundThis study aims to analyze the dynamics of the published articles and preprints of Covid-19 related literature from different scientific databases and sharing platforms. MethodsThe PubMed, Elsevier, and Research Gate (RG) databases were under consideration in this study over a specific time. Analyses were carried out on the number of publications as (a) function of time (day), (b) journals and (c) authors. Doubling time of the number of publications was analyzed for PubMed "all articles" and Elsevier published articles. Analyzed databases were (1A) PubMed "all articles" (01/12/2019-12/06/2020) (1B) PubMed Review articles (01/12/2019-2/5/2020) and (1C) PubMed Clinical Trials (01/01/2020-30/06/2020) (2) Elsevier all publications (01/12/2019-25/05/2020) (3) RG (Article, Pre Print, Technical Report) (15/04/2020-30/4/2020). FindingsTotal publications in the observation period for PubMed, Elsevier, and RG were 23000, 5898 and 5393 respectively. The average number of publications/day for PubMed, Elsevier and RG were 70.0 {+/-}128.6, 77.6{+/-}125.3 and 255.6{+/-}205.8 respectively. PubMed shows an avalanche in the number of publication around May 10, number of publications jumped from 6.0{+/-}8.4/day to 282.5{+/-}110.3/day. The average doubling time for PubMed, Elsevier, and RG was 10.3{+/-}4 days, 20.6 days, and 2.3{+/-}2.0 days respectively. In PubMed average articles/journal was 5.2{+/-}10.3 and top 20 authors representing 935 articles are of Chinese descent. The average number of publications per author for PubMed, Elsevier, and RG was 1.2{+/-}1.4, 1.3{+/-}0.9, and 1.1{+/-}0.4 respectively. Subgroup analysis, PubMed review articles mean and median review time for each article were <0|17{+/-}17|77> and 13.9 days respectively; and reducing at a rate of-0.21 days (count)/day. InterpretationAlthough the disease has been known for around 6 months, the number of publications related to the Covid-19 until now is huge and growing very fast with time. It is essential to rationalize the publications scientifically by the researchers, authors, reviewers, and publishing houses. FundingNone

scientific communication and education↗