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Biology subjects

Sharma, M.

Publications and source records attributed to Sharma, M..

At least 19 recordsLinked to original sources

Integrated miRNA-protein profiling of small extracellular vesicle cargo reveals dynamic cargo remodelling during tissue repair in UV-C-damaged C. elegans

Ultraviolet-C (UV-C) radiation is a potent environmental stressor that induces DNA damage, accumulation of reactive oxygen species (ROS), and cellular dysfunction. This also initiates coordinated molecular responses to regulate cellular adaptation and recovery. Small extracellular vesicles (sEVs) have emerged as key mediators of intercellular communication through the selective incorporation of microRNAs (miRNAs), proteins, and lipids. However, the temporal changes of sEV-associated cargo during the progression from UV-C-induced damage to recovery remain uncharacterized. We hypothesised that UV-C exposure induces stage-specific changes in sEV cargo (miRNA and proteins) that promote the transition of cells from damage to the response and recovery phases. To examine this, a time-resolved UV-C exposure model was established using Caenorhabditis elegans (C. elegans). In this paper, we studied 2.5 hours of UV-C exposure, including cellular damage, intracellular ROS levels, and DNA integrity, to define the damage and repair state. Based on these temporal variations, samples were collected: i) immediately after exposure, ii) 6 hours post-exposure, and iii) 16 hours post-exposure were designated as damage, response, and recovery conditions, respectively. sEVs isolated from whole-worm preparations were characterised using biophysical and molecular approaches, followed by miRNA sequencing and proteomic analyses. Integrative analysis further identified miRNA-protein associations and associated them with pathways involved in stress adaptation, metabolism, signal transduction, and cellular homeostasis. Collectively, these findings provide a temporal molecular framework of sEV cargo associated with UV-C-induced damage, response, and recovery in C. elegans. Overall, this study identified candidate molecular signatures and miRNA-protein associations that underlie the temporally selective packaging of sEV-associated cargo following UV-C-induced damage, providing a basis for future tissue-specific and mechanistic investigations.

molecular biology↗

Structure-function analysis of PI3K signalling cascade base editing screens in cancer cells

Knowledge of protein structure and function underpins rational drug discovery, yet many targets lack known selectively druggable sites. Furthermore, the identification of secondary druggable sites offers a strategy to overcome drug resistance. Fragment-based drug discovery (FBDD) can identify new ligandable binding pockets, though how to triage those with the ability to exert biologically relevant effects can be unclear. Systematic approaches to identify novel functionally-important protein sites for therapeutic intervention, such as allosteric pockets or protein-protein interaction (PPI) interfaces, has the potential to accelerate drug discovery, particularly when combined with structure-based hit-finding modalities. The phosphoinositide-3 kinase (PI3K) signalling pathway is frequently altered in human cancer and resistance to approved inhibitors is an ongoing challenge. Here, we performed large-scale CRISPR base editing mutagenesis screens across 30 PI3K pathway proteins in three disease-relevant cancer cell models to systematically map functional residues. Integration of base editing data with structural information identified residues corresponding to known catalytic sites, fragment-binding pockets and PPI interfaces, providing validation for the approach. Additionally, we identified putative allosteric pockets near regions of undefined function. Together, these findings establish high-throughput base editing mutagenesis combined with structural analysis as a scalable strategy to delineate structure-function relationships and inform drug development.

genomics↗

From Channel-Pair Connectivity to Brain Networks: An Open Graph Theoretical Pipeline for fNIRS Hyperscanning

Despite the growing use of functional near-infrared spectroscopy (fNIRS) hyperscanning to record brain activity simultaneously from interacting individuals in naturalistic settings, most analyses quantify functional connectivity separately for each channel pair. The resulting collection of pairwise estimates is difficult to integrate into a network-level characterization of intra- and inter-brain organization. Here, we present an open, configuration-driven Python toolkit that transforms preprocessed fNIRS hyperscanning time series into functional connectivity graphs. The toolkit constructs a bipartite inter-brain network for each dyad and separate intra-brain networks for each participant, computes node- and graph-level measures, and exports adjacency matrices, edge lists, analysis-ready summary tables, reproducibility metadata, and standardized visualizations. Dataset-specific parameters, including directory structure, participant naming, channel selection, epoch extraction, and edge-retention criteria, are defined in a human-readable YAML configuration file, enabling the same workflow to accommodate differently organized datasets without changes to the source code. We illustrate the pipeline using a representative recording from a mother-infant fNIRS hyperscanning dataset and present the resulting network outputs. The toolkit provides a reproducible framework for moving from pairwise functional connectivity estimates to network-level analyses of dyadic and individual brain organization.

neuroscience↗

Microbial bioprospecting for benzoxazolinate-like molecules: unleashing the potential of genome mining

The benzoxazolinate moiety is a key functional group found in a few natural products (NPs), exhibiting diverse bioactivities, including antitumor, antibacterial, and cytotoxic activities. Despite their clinical importance, only a few bacterial strains and NPs have been reported harboring this rare bis-heterocyclic moiety, underscoring a largely unexplored chemical space. Here, we performed large-scale genome mining and identified 277 putative biosynthetic gene clusters (BGCs) across diverse bacterial hosts, including previously unreported bacterial genera and strains. The BGCs were grouped into three compound classes: benzoxazolinate, benzobactin, and ashimides based on sequence similarity network clustering. Bioactivity predictions of the identified BGCs revealed the predominance of antibacterial and cytotoxic potential, highlighting promising candidates for future experimental validation and functional studies. This study also presents a neural network-based bioprospecting model that efficiently detects rare BGCs encoding benzoxazolinate-containing molecules from genomic sequences. Overall, our findings expand the known repertoire of bacterial hosts with the potential to produce benzoxazolinate-containing NPs and provide a comprehensive framework for the discovery and identification of candidate BGCs.

bioinformatics↗

Dynamic structural changes and inhibition of insect delta and epsilon glutathione S-transferases by ethacrynic acid and permethrin

Insect glutathione S-transferases (GSTs) play critical roles in xenobiotic detoxification and insecticide resistance, making them promising targets for selective pest-control strategies. Here, we performed a comparative analysis of GSTs representing multiple classes from beneficial insects, agricultural pests, and disease vectors. We found significant isozyme-specific variations in catalytic activity, stability, and conformational dynamics, notably, in relation to inhibition by the commercial chemical agents, ethacrynic acid (ECA) and permethrin (PER). Sequence similarity network analysis revealed distinct clustering of major GST classes and further highlighted the relatively recent evolutionary divergence of the insect-specific delta and epsilon classes. Structural modeling revealed highly conserved glutathione-binding sites (G-site), but substantial variation in the hydrophobic substrate-binding regions (H-site). Further, epsilon-class GSTs exhibited 4 helices oriented approximately 10{degrees} closer to the glutathione-binding site than delta enzymes, suggesting differences in active-site architecture. Steady-state kinetic analyses using 1-chloro-2,4-dinitrobenzene (CDNB) demonstrated that epsilon GSTs are generally more catalytically efficient. Inhibition studies revealed that ECA acts as a potent mixed-type inhibitor of delta-class GSTs, reducing catalytic efficiency by up to 56-fold, whereas PER produced weaker and more species-dependent effects. Notably, ECA binding strongly stabilized delta GSTs, as measured by differential scanning fluorimetry (DSF) and induced a selective rigidification of the 3/4 linker region and active-site motifs, as observed by hydrogen-deuterium exchange mass spectrometry (HDX-MS). Collectively, these findings demonstrate the importance of analyzing the conformational dynamics mediating insect GST inhibition and provide a framework for exploiting isozyme-specific structural features in the design of next-generation selective insecticides.

biochemistry↗

PARP1 inhibition regulates tumor progression through modulation of RhoGDIα and vimentin in triple negative breast cancer

Background and PurposePARP inhibitors have been evaluated in clinical trials for several cancers and Olaparib is FDA approved for treating BRCA deficient ovarian cancer. Numerous reports have suggested Poly(ADP-ribose) polymerase1(PARP1) overexpression in a variety of cancers including breast carcinomas and proposed the role of PARP1 in metastasis. However, the mechanism of PARP1 in regulating metastatic process in BRCA proficient and deficient TNBC is not studied thoroughly. In this study, we propose that PARP1 mediated breast carcinoma progression is gene transcription mediated, where it regulates several steps of pro-metastasis. Experimental ApproachPARP inhibitors effect on metastasis was monitored by migration and invasion assay, modulation in protein expression was assessed by proteomic analysis and further confirmed by immunoblotting. Chromatin immunoprecipitation was performed to study the transcriptional role of PARP1. Ectopic expression and siRhoGDI, and immunofluorescence assessed the cytoskeleton changes. PARP inhibitor was administered in xenograft mice to study metastasis. Immunohistochemical analysis was done on patient and mice tissues. Key resultsBreast cancer cells exhibited reduced migration and invasion due to PARP1 inhibition. PARP1 regulates expression of vimentin and RhoGDI and hence cytoskeletal rearrangement causing a change in migrating potential of a cell. Metastasis in mice was reduced upon PARP inhibition. PARP1 was identified to be a novel transcriptional regulator of RhoGDI. Furthermore, RhoGDI ectopic expression substantiated the PARP inhibitor effects, suggesting the PARP inhibitor downstream signaling to be mediated through RhoGDI. Conclusions and ImplicationsWe identified a novel aspect of PARP1 as promoter of metastasis via transcriptional regulation of RhoGDI. Assessing RhoGDI levels in TNBC patients might be useful to predict sensitivity to PARP inhibitors.

cancer biology↗

Alzheimer's Disease Selectively Perturbs Age-Sensitive Brain Radiomic Features Across the Disease Continuum

Normal brain aging and Alzheimers disease both involve progressive structural brain alterations, making it challenging to distinguish pathological neurodegeneration from normative aging-related atrophy. This study investigated whether Alzheimers disease exhibits radiomic patterns that mimic, diverge from, or selectively perturb age-associated structural brain changes. T1-weighted magnetic resonance imaging scans from the Alzheimers Disease Neuroimaging Initiative were analyzed using a region-wise radiomics framework across 10 anatomically defined brain regions. Radiomic features were extracted following automated segmentation, bias field correction, and intensity normalization. Age-associated radiomic patterns were first identified in cognitively normal subjects using Spearman correlation analysis. Features demonstrating significant age sensitivity were subsequently compared between cognitively normal and Alzheimers disease cohorts across age bins using Welchs two-sample t-tests with permutation-based significance estimation and false discovery rate correction. Medial temporal and limbic regions, particularly the hippocampus, entorhinal cortex, and cingulum, demonstrated consistent age-aligned radiomic trajectories with systematic, statistically significant disease-related shifts across all age bins, supported by large effect sizes and bootstrap-validated confidence intervals. In contrast, several other regions demonstrated more heterogeneous and less stable patterns of group separation across age bins. Secondary analysis using late mild cognitive impairment subjects demonstrated that these radiomic divergences are detectable at the transition from normal cognition to mild cognitive impairment, with statistically significant CN-LMCI separation but no significant LMCI-AD separation, positioning the identified markers as early-stage rather than late-stage indicators of neurodegeneration. These findings indicate that Alzheimers disease does not uniformly mimic normal aging across the brain but instead selectively perturbs radiomic features associated with normative aging trajectories. The identified markers represent promising candidates for age-adjusted radiomic biomarkers, warranting validation in independent cohorts to establish their generalisability. The fully automated nature of the analytical pipeline -- spanning segmentation, feature extraction, and statistical comparison without manual annotation -- may facilitate scalable validation of these biomarkers in larger neuroimaging cohorts.

neuroscience↗

Computational drug repurposing identified Artemisinin and Mebendazole as potential inhibitors of virulence-associated proteins SKSR and essential kinases CpCDPK1 of Cryptosporidium parvum

Cryptosporidium parvum is a protozoan parasite responsible for cryptosporidiosis, significantly threatening immunocompromised individuals, particularly HIV/AIDS patients, by causing severe diarrhea and potential mortality. Current treatments are largely ineffective, prompting investigations into new therapeutic options. This study evaluated two antiparasitic drugs: Mebendazole, used for helminth infections, and Artemisinin, used for malaria. The SKSR gene family encodes virulence factors in C. parvum, and Calcium-dependent protein kinase1 (CpCDPK1) regulates the life cycle of C. parvum; targeting these proteins may reduce growth and infection in hosts. In the current study, molecular docking was conducted taking Mebendazole and Artemisinin drugs as ligands, SKSR gene family and CpCDPK1 proteins as drug targets. Results with SKSR showed binding energy of -4.9 kcal/mol, -6.72 kcal/mol for Mebendazole and Artemisinin, respectively. Whereas, with CpCDPK1, the binding energies were -6.44 kcal/mol, -9.18 kcal/mol for Mebendazole and Artemisinin, respectively. Docking of Nitazoxanide (an in-use drug for C. parvum) with SKSR and CpCDPK1 revealed binding energies -4.2 kcal/mol, -4.81 kcal/mol, respectively. The stability of the proteins (targets) upon binding to the ligands was assessed by performing all-atom MD simulations for 100ns using the GROMACS package. No major variations were observed upon binding of Artemisinin and Mebendazole to SKSR and CpCDPK1. The findings of MD simulations imply that both proteins maintain their stability upon binding of Artemisinin and Mebendazole. Molecular Docking and MD simulation studies suggest that Artemisinin and Mebendazole are potential candidates for repurposing in the treatment of C. parvum infections, with recommendations for in vitro studies to validate these findings.

molecular biology↗

Modeling Type-I Fatty Acid Synthase with Acyl Carrier Protein at Ketoacyl Synthase

Mycobacterium tuberculosis fatty acid synthase I (Mtb FAS-I) is a multifunctional hexameric complex essential for fatty acid (FA) synthesis. The need of a hexameric structure for activity of the complex in Mtb remains elusive. Here, we model a conformation of the functionally active complex with acyl carrier protein (ACP) at ketoacyl synthase (KS). Our model reveals a crucial cross-dome dependence in the mechanism of FA synthesis at the condensation step. Using molecular dynamics simulation, we identify key ACP and KS residues that mantain persistent interactions. ACPs phosphopantetheine (PPT) arm adopts several conformations while accessing KSs catalytic pocket, including two distinct conformations that correlate with volumes of ACP and KS pockets. A PHE residue, reported as a gatekeeper of the KS pocket in other species, also shows open and closed orientations in our simulation. Our results provide crucial insights that are essential for a mechanistic undersanding of the Mtb FAS-I complex.

biophysics↗

The Plasmodium falciparum Raf Kinase Inhibitor Protein is Essential for Red Blood Cell Invasion and Can Be Functionally Substituted by Host RKIP

Raf kinase inhibitor protein (RKIP) plays a key role in regulating critical signaling pathways in higher eukaryotes. We previously demonstrated that Plasmodium falciparum RKIP (PfRKIP) modulates the activity of PfCDPK1, a key regulator of red blood cell invasion. Here, we have used a pharmacological approach to investigate the function of PfRKIP. Locostatin, a mammalian RKIP inhibitor, shows a dose-dependent decrease in RBC invasion. Mechanistically, locostatin increases the interaction between PfRKIP and PfCDPK1, thereby sequestering PfCDPK1 in a complex preventing substrate phosphorylation. Surprisingly, PfRKIP could be knocked out from the parasite without any perceptible growth defect. Interestingly, the PfRKIP-deficient parasites show an increase in the import of host RKIP. Like the parasite RKIP, the host RKIP interacts with PfCDPK1 and is associated with high-molecular-weight complexes comprising PfCDPK1 suggesting functional complementation by the host RKIP in the PfRKIP null parasites. As expected, locostatin shows similar inhibitory effect on the knock-out parasites as the WT. Our study reveals a novel host-parasite interaction wherein the parasite co-opts host proteins to maintain critical signaling pathways. Targeting the PfRKIP signaling axis, along with the host proteins, represents a potential strategy for anti-malarial drug development that is conceptually less prone to parasite-driven resistance development.

microbiology↗

Single cell eQTL mapping reveals convergent glial-neuronal risk architecture in Parkinson's disease

Synucleinopathies affect [~]15 million people and are classically divided into neuronal (Parkinsons disease (PD), dementia with Lewy bodies) and glial (multiple system atrophy) disorders. Here we challenge this dichotomy. We functionally fine-map 90 PD GWAS signals across nine cell types in cortex and substantia nigra using disease-context, population-scale single-nucleus eQTL meta-analysis (N = 1,197), bulk brain eQTL analysis (N = 1,182), and Mendelian randomization. A stringent causal framework integrates single-nucleus allelic imbalance (snASE) with orthogonal validation. We identify 125 functional risk genes for 50 loci--nearly doubling supported genes--and assign genes and cell types to over half of GWAS signals. Unexpectedly, 51% of risk genes are regulated in glia, particularly oligodendrocytes and their precursors. Across cell types, risk converges on a shared glial-neuronal vesiculopathy network. These findings uncover a convergent glial-neuronal risk architecture and establish a single-cell atlas for context-aware gene discovery and precision therapeutics for PD.

genetics↗

Broad protection against Influenza A Viruses via an adjuvant-free mucosal microparticle vaccine with conserved CD8/CD4 bispecific peptides

Rapid antigenic evolution of Influenza A viruses (IAVs) enables their escape from strain-specific vaccine immunity and underscores the need for broadly protective strategies. Here, we describe a modular, adjuvant-free mucosal vaccine platform that elicits potent and cross-protective T cell immunity. The approach uses overlapping CD4+ and CD8+ epitope-dense regions from the consensus IAV M1 and NP proteins, identified through computational and functional screening. These peptides are delivered using polylactic-co-glycolic acid (PLGA) microparticles, engineered for selective uptake by antigen-presenting cells and enable sustained, pH-responsive antigen release. This design enhances antigen processing and MHC cross-presentation, functionally substituting for a conventional adjuvant. This formulation drives robust activation of primed human as well as murine CD4+ and CD8+ T cells and confers broad protection against homologous (H1N1, H3N2) as well as heterologous (H5N1) IAV strains in immunized mice. Overall, this adjuvant-free dose-sparing platform establishes an adaptable framework for next-generation broadly-protective vaccines against rapidly-evolving viruses. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/715080v2_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@19fafedorg.highwire.dtl.DTLVardef@d73109org.highwire.dtl.DTLVardef@1d486edorg.highwire.dtl.DTLVardef@1e663c8_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

ECHOS enables spatial epigenome profiling at subcellular resolution

Biological structures and the epigenome are intertwined. For example, complex tissues are often the combined products of various groups of spatially patterned cell types with distinct epigenetic states. Furthermore, chromatin at various subnuclear locations within a cell often differ in their epigenetic properties. Thus, a systematic understanding of the relationship between the epigenome and its spatial distribution across biological scales would inform tissue and cellular functions as well as gene regulatory mechanisms. Yet, spatially resolved epigenome profiling--particularly at subcellular resolution--remains technically challenging. Here, we present Epigenetic CUT&Tag via High-resolution Optical Selection (ECHOS), a platform that combines high-resolution imaging and high-throughput sequencing to enable precise, spatially targeted epigenetic profiling across biological scales. At the cellular scale, ECHOS generates high-quality DNA-binding protein and histone modification datasets that show strong concordances with datasets from ChIP-seq and CUT&Tag experiments. Further optimization of ECHOS (ECHOS+) enables the characterization of the histone modification landscape of chromatin at the sub-micron resolution. Using ECHOS+, we revealed distinct gene regulatory logics at different layers of human ectocervical epithelium. We also showed that micronuclei--small nucleus-like structures formed by mitotic errors--exhibited a different epigenetic state from the same chromosome regions on the intact nuclei. Finally, we found that human aging altered the epigenetic state of the inactive X chromosome located in a subcellular nuclear structure called the Barr body, which may contribute to genes escaping X chromosome inactivation during female aging. Together, ECHOS and ECHOS+ represent a scalable and generalizable framework for spatial epigenomic analyses, with broad potential applications in various domains of biology.

genetics↗

Integrating Long-Read Structural Variant Analysis with single-nucleus RNA-seq to Elucidate Gene Expression Effects in Disease

Structural variants (SVs) are a major source of genetic diversity, yet how they impact cell types in complex brain diseases remains largely unexplored, partially due to limitations of short-read sequencing. Here, we addressed this fundamental question in Parkinsons disease (PD). generating long-read whole-genome sequencing (WGS) data for 100 post-mortem brain samples from a PD cohort, constructing a high-confidence catalog of 74,552 SVs. To resolve their functional impact, we integrated single-nucleus RNA-sequencing data from two brain regions from the same samples and focused functional analyses on SVs proximal to genes previously nominated as cis-regulated, potential causal targets of PD-associated GWAS loci. Using expression quantitative trait locus and allele-specific expression analyses, we uncovered SVs significantly associated with expression in specific cell types as well as effects shared across cell types. This study demonstrates the power of uniting long-read WGS with transcriptomics to uncover SVs underlying complex disease architecture with cell type resolution.

genomics↗

A novel lipid-triggered allosteric site modulates LC3-LIR receptor binding activity

Membrane recruitment is a fundamental regulator of protein function. However, the allosteric mechanisms by which lipid binding controls protein activity remain poorly understood. In autophagy, the ubiquitin-like protein LC3 is lipid-anchored to autophagosomes, where it is essential for receptor recruitment and vesicle formation. While LC3-receptor interactions are structurally well defined, how membrane engagement governs LC3 functional dynamics has remained enigmatic. Here, we uncover that membrane binding triggers a major conformational transition in LC3, exposing functional pockets that are occluded in its cytosolic form. We demonstrate that this shift is mediated by dynamic coupling between the allosteric site (3- loop5-{beta}3-loop6) and the functional binding pockets. To conclusively test this mechanism, we utilised an ensemble-based protein design strategy guided by molecular dynamics to engineer the allosteric site. From a series of mutants, two variants emerged that stabilized LC3 conformation in either active or inactive state on the membrane. X-ray crystal structures of mutant LC3, biophysical assays, super-resolution microscopy, and TEM confirmed that the activated allosteric site mutant facilitates receptor binding and cargo capture. In contrast, the inactive variant is functionally inert on the membrane. Our work identifies a fundamental lipid-triggered allosteric site in LC3 that is critical for autophagy regulation and broader implication of membrane-dependent reprogrammable protein activities.

biophysics↗

Unique pore architecture underlies constitutive gating of human retinalTRPM1

Transient receptor potential melastatin 1 (TRPM1), a Ca{superscript 2}-permeable nonselective cation channel essential for retinal ON bipolar cell signaling and night vision, and implicated in congenital night blindness, has remained structurally and functionally poorly characterized. Here we report the first cryo-electron microscopy structure of human TRPM1 in conducting state. Although the channel assembles as a tetramer, it adopts an unexpected clockwise domain-swapped pore module with rotational geometry inverse to that observed in previously characterized 6-TM tetrameric channels. This inverted topology is accompanied by extensive remodeling of the S5-P-S6 module, dilation of the selectivity filter, expansion of the central cavity, and splaying of S6 to form a wide intracellular gate. Single-channel recordings reveal constitutive activity consistent with the conductive state captured. Together, these findings uncover a new 6-TM fold in tetrameric channel and provide a framework for understanding TRPM1 gating and disease-associated dysfunction.

biochemistry↗

Defining and rescuing pathomechanisms of myotubularin and autophagy disruption in a novel human cell model of Charcot-Marie-Tooth Type 4B3

Charcot-Marie-Tooth Type 4B3 (CMT4B3) is a genetic disorder leading to peripheral axon degeneration and clinical manifestations of distal weakness and gait impairment. CMT4B3 is caused by mutations in SBF1/MTMR5, a negative regulator of phosphoinositide signaling and autophagy. Although SBF1 mutations are ubiquitously expressed, how and why loss of SBF1/MTMR5 exerts deleterious effects predominantly in neurons of the peripheral nervous system (PNS) is unknown. To investigate the effects of mutant SBF1/MTMR5 on PNS neurons compared to non-neurons, we engineered a novel and unique model system of CMT4B3 using human induced pluripotent stem cells (iPSCs) differentiated into key components of the PNS: motor neurons (iMNs), sensory neurons (iSNs), or skeletal muscle (iMuscle). To model CMT4B3, we used iPSCs derived from a CMT43B patient, or genetically knocked down SBF1 in WT cells. Strikingly, CMT4B3 iMNs showed the highest degree of cell degeneration among all cell types, concordant with the clinical phenotype of patients. We also found that CMT4B3 iMNs and iSNs showed attenuated expression of MTMR5 and related paralogs MTMR2 and MTMR13. Knockdown of SBF1 most significantly augmented autophagy in iMNs than other cell types. Finally, we tested treatment with VPS34-IN1, a pharmacologic inhibitor of the Class III PI3-Kinase functioning in opposition to MTMR5 in regulating phosphoinositides, and found that VPS34-IN1 rescued cell death in CMT4B3 iMNs. Together, our results for the first time confirm PNS cell type-specific differences in myotubularin expression, autophagy, and vulnerabilities to SBF1 mutations, and identify a novel therapeutic strategy of high disease-modifying potential for CMT4B3.

neuroscience↗

GCN5 negatively regulates class III peroxidases PRX71 and PRX33 to promote lignin deposition in Arabidopsis

Histone acetylation shapes transcriptional programs during environmental stress. The Arabidopsis histone acetyltransferase GCN5/HAG1, a catalytic subunit of the SAGA complex, has been implicated in salt stress responses and cell wall integrity. Here, we show that loss of GCN5 enhances reactive oxygen species (ROS) accumulation under NaCl stress and is accompanied by altered expression of class III peroxidase genes, with strong salt-induced upregulation of PRX71 and elevated basal PRX33 transcript abundance. Consistent with a role for these peroxidases in stress-associated cell wall remodeling, overexpression of PRX71 or PRX33 in the wild-type is sufficient to promote ectopic lignin deposition in roots. Conversely, prx71 and prx33 mutants show improved growth under salt stress and on the cellulose biosynthesis inhibitor isoxaben, and they lack the pronounced ectopic root lignification observed in gcn5 under salt stress. Chromatin immunoprecipitation followed by qPCR (ChIP-qPCR) reveals reduced H3K9 acetylation at PRX71 and PRX33 promoter regions in gcn5 compared with the wild-type, and reduced transcript abundance of candidate upstream transcription factors (TFs), including GATA21 and MYBS2, accompanied by reduced H3K9ac at their loci. Together, our results support a model in which GCN5 constrains PRX71/PRX33-mediated lignification during stress, likely through an indirect regulatory route that integrates chromatin state and transcription factor activity to limit stress-associated lignification while maintaining root growth under salt stress.

plant biology↗