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Maurya, R.

Publications and source records attributed to Maurya, R..

10 recordsLinked to original sources

The XenCart Protocol: A Method for Alcian Blue Labeling and Quantitative Analysis of Craniofacial Cartilage in Xenopus

Craniofacial birth defects, such as cleft lip and palate, are among the most common congenital anomalies and often arise from disruptions in early facial patterning. Many of these defects are linked to environmental teratogens, yet such exposures cannot be directly tested in humans, making animal models essential for evaluating developmental risks. Xenopus laevis offers a powerful solution: its tadpoles develop externally, share deeply conserved craniofacial patterning mechanisms with humans, and provide an accessible platform for uncovering how environmental exposures reshape facial structures during development. Here, we present the XenCart Protocol, a reproducible workflow for Alcian Blue staining and quantitative morphometric analysis of Xenopus craniofacial cartilage. This method provides clear visualization of individual cartilage elements and can be readily applied to investigate genetic or environmental perturbations. The Xenopus craniofacial skeleton contains distinct cartilaginous structures that perform key biomechanical functions and share strong homology with regions of the human craniofacial skeleton. These similarities allow direct comparison of developmental outcomes across vertebrates. As part of a CURE-based undergraduate course, the XenCart Protocol was used to measure jaw cartilage dimensions in tadpoles exposed to an emerging teratogen, e-liquids used in vaping. E-liquid exposure caused consistent reductions across major craniofacial cartilages, including shorter Meckels cartilage, narrowed infrarostral width, decreased basihyobranchial and ceratohyal dimensions, and reduced suprarostral angles, reflecting an overall shift toward a smaller, more compact craniofacial morphology. These patterns suggest potential disruption of neural crest cell migration or signaling pathways for craniofacial cartilage development, mechanisms that, if similarly affected in humans, could contribute to midfacial narrowing, jaw underdevelopment, or increased vulnerability to conditions such as orofacial clefts. The ability to detect robust, structure-specific differences highlights the sensitivity of the protocol and its strong alignment with student-led research. These findings also pinpoint the precise regions of the jaw most affected by e-liquid exposure, providing a foundation for uncovering the developmental mechanisms driving these craniofacial changes. In summary, the XenCart Protocol provides a standardized, scalable method for quantifying craniofacial cartilage development and offers a powerful platform for both mechanistic research and undergraduate training in developmental biology and toxicology.

developmental biology↗

Proteomic Signatures of Neuropathological Alterations in Alzheimer's Disease: Insights from the Bio-Hermes Study

Large-scale plasma proteomics can capture molecular changes across the Alzheimers disease (AD) continuum and provide insight into biological mechanisms associated with AD pathology. We analysed the Bio-Hermes cohort (n = 961), with participants enrolled across 17 sites in the United States from April 2021 to November 2022. Participants were stratified by clinical status and amyloid PET scan-based Core1 biomarker status (CN Core1-, CN Core1+, MCI Core1+, and AD dementia Core1+). We performed differential abundance analyses across biologically defined contrasts, clustered proteins into co-expression networks, and evaluated protein panels to distinguish participants with biologically defined AD from amyloid-negative cognitively normal controls. We also used Mendelian randomization (MR) to assess genetic evidence for potential causal relationships with AD risk. The biologically defined contrast, Core1+ vs. CN Core1-, identified 69 differentially abundant proteins. Across AD stages, eight core proteins were consistently dysregulated from preclinical through prodromal and dementia phases, and three additional proteins emerged at MCI Core1+ and remained altered in AD dementia Core1+. We identified 29 co-expression modules, six of which varied significantly across the AD continuum. Among differential abundance proteins, ACHE ranked highest for distinguishing biologically defined AD from CN Core1-. Stage-specific protein panels improved the discriminatory performance for MCI Core1+ (AUC = 0.850) and AD dementia Core1+ (AUC = 0.856). MR provided genetic evidence consistent with an association between plasma ACHE abundance and AD risk. Plasma proteomics delineated a stage-spanning core signature across the AD continuum. These findings nominate co-expression modules and candidate proteins for further validation in early detection and AD screening.

neuroscience↗

Structural Basis for Iterative Methylation by a Cobalamin-dependent Radical S-Adenosylmethionine Enzyme in Cystobactamids Biosynthesis

Cystobactamids are non-ribosomal peptide natural products that function as DNA gyrase inhibitors, exhibiting significant antibacterial activity. They are isolated from Cystobacter sp. Cbv34 and contain various alkoxy groups on para-aminobenzoic acid moieties, which are believed to play a crucial role in antibacterial functions. The alkoxy groups are generated by iterative methylations on a methoxy group by the cobalamin (Cbl)-dependent radical S-adenosylmethionine (SAM) enzyme CysS. CysS catalyzes up to three methylations to give ethoxy, isopropoxy, sec-butoxy, and tert-butoxy groups. For each methylation, CysS uses a ping-pong mechanism in which two molecules of SAM are consumed. One SAM is used to methylate cob(I)alamin, while another generates a 5'-deoxyadenosyl 5'-radical to initiate substrate methylation. However, little is known about how the enzyme promotes both Cbl methylation and iterative substrate methylation, which occur by polar SN2 and radical processes, respectively. Here, we report three X-ray crystal structures of a homolog of CysS from Corallococcus sp. CA054B. Two were determined in the presence of methoxy- and ethoxy-containing substrates, showing how CysS accommodates substrates and products during iterative methylation. The third structure, determined in the absence of a substrate, exhibits structural changes that reorient the SAMs conformation to allow for the methylation of cob(I)alamin.

biochemistry↗

Gut colonization by Bacteroides fragilis at juvenile age alters microbiota composition and accelerates type 1 diabetes progression in non-obese diabetic mice

Type 1 diabetes (T1D) in humans is associated with higher Bacteroidetes : Firmicutes ratio and higher abundance of Bacteroides genus members. Bacteroides fragilis (BF) is an integral component of the human colonic commensal microbiota. Here, we show that gut colonization of specific pathogen-free (SPF) non-obese diabetic (NOD) mice by BF at a juvenile age induces a pro-inflammatory immune response and accelerated disease progression. NOD mice born to BF-monocolonized parents not only showed rapid disease progression compared to germ-free (GF) controls but also preserved accelerated disease onset and higher disease incidence upon conventionalization, suggesting that BF contributes to a pro-inflammatory response and autoimmunity in T1D. Interestingly, we found that while gut microbiota composition was different in control and BF-colonized SPF mice, presence of BF alone could significantly impact the acquisition of microbial communities upon conventionalization of gnotobiotic mice. Bulk RNAseq analysis of colon tissues revealed profound differences in the gene expression pattern of GF and BF-monocolonized mice as well as their conventionalized counterparts, shedding light on the probable mechanisms contributing to accelerated disease onset in mice that are exposed to BF. We found that mucin production is downregulated and the abundance of mucin degraders such as Akkermansia muciniphila is profoundly lower in BF-colonized mice that are conventionalized. Overall, these studies demonstrate that early life acquisition of BF-like distal gut commensals could have profound modulatory effects on the eventual overall gut microbiota structure, immune function, and {beta}-cell specific autoimmune outcomes under genetic susceptibility.

immunology↗

Extrachromosomal DNA Associates with Nuclear Condensates and Reorganizes Chromatin Structures to Enhance Oncogenic Transcription

Extrachromosomal, circular DNA (ecDNA) is a prevalent oncogenic alteration in cancer genomes, often associated with aggressive tumor behavior and poor patient outcome. While previous studies proposed a chromatin-based mobile enhancer model for ecDNA-driven oncogenesis, its precise mechanism and impact remains unclear across diverse cancer types. Our study, utilizing advanced multi-omics profiling, epigenetic editing, and imaging approaches in three cancer models, reveals that ecDNA hubs are an integrated part of nuclear condensates and exhibit cancer-type specific chromatin connectivity. Epigenetic silencing of the ecDNA-specific regulatory modules or chemically disrupting liquid-liquid phase separation breaks down ecDNA hubs, displaces MED1 co-activator binding, inhibits oncogenic transcription, and promotes cell death. These findings substantiate the trans-activator function of ecDNA and underscore a structural mechanism driving oncogenesis. This refined understanding expands our views of oncogene regulation and opens potential avenues for novel therapeutic strategies in cancer treatment.

genomics↗

Severe Acute Respiratory Syndrome Coronavirus-2 genome sequence variations relate to morbidity and mortality in Coronavirus Disease-19

Outcome of infection with Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) may depend on the host, virus or the host-virus interaction-related factors. Complete SARS-CoV-2 genome was sequenced using Illumina and Nanopore platforms from naso-/oro-pharyngeal ribonucleic acid (RNA) specimens from COVID-19 patients of varying severity and outcomes, including patients with mild upper respiratory symptoms (n=35), severe disease ad-mitted to intensive care with respiratory and gastrointestinal symptoms (n=21), fatal COVID-19 outcome (n=17) and asymptomatic (n=42). Of a number of genome variants observed, p.16L>L (Nsp1), p.39C>C (Nsp3), p.57Q>H (ORF3a), p.71Y>Y (Membrane glycoprotein), p.194S>L (Nucleocapsid protein) were observed in similar frequencies in different patient subgroups. However, seventeen other variants were observed only in symptomatic patients with severe and fatal COVID-19. Out of the latter, one was in the 5UTR (g.241C>T), eight were synonymous (p.14V>V and p.92L>L in Nsp1 protein, p.226D>D, p.253V>V, and p.305N>N in Nsp3, p.34G>G and p.79C>C in Nsp10 protein, p.789Y>Y in Spike protein), and eight were non-synonymous (p.106P>S, p.157V>F and p.159A>V in Nsp2, p.1197S>R and p.1198T>K in Nsp3, p.97A>V in RdRp, p.614D>G in Spike protein, p.13P>L in nucleocapsid). These were completely absent in the asymptomatic group. SARS-CoV-2 genome variations have a significant impact on COVID-19 presentation, severity and outcome.

genomics↗

Subgenomic RNAs as molecular indicators of asymptomatic SARS-CoV-2 infection

In coronaviridae such as SARS-CoV-2, subgenomic RNAs (sgRNA) are replicative intermediates, therefore, their abundance and structures could infer viral replication activity and severity of host infection. Here, we systematically characterized the sgRNA expression and their structural variation in 81 clinical specimens collected from symptomatic and asymptomatic individuals with a goal of assessing viral genomic signatures of disease severity. We demonstrated the highly coordinated and consistent expression of sgRNAs from individuals with robust infections that results in symptoms, and found their expression is significantly repressed in the asymptomatic infections, indicating that the ratio of sgRNAs to genomic RNA (sgRNA/gRNA) is highly correlated with the severity of the disease. Using long read sequencing technologies to characterize full-length sgRNA structures, we also observed widespread deletions in viral RNAs, and identified unique sets of deletions preferentially found primarily in symptomatic individuals, with many likely to confer changes in SARS-CoV-2 virulence and host responses. Furthermore, based on the sgRNA structures, the frequently occurred structural variants in SARS-CoV-2 genomes serves as a mechanism to further induce SARS-CoV-2 proteome complexity. Taken together, our results show that differential sgRNA expression and structural mutational burden both appear to be correlated with the clinical severity of SARS-CoV-2 infection. Longitudinally monitoring sgRNA expression and structural diversity could further guide treatment responses, testing strategies, and vaccine development.

microbiology↗

Refinement of Genome assemblies of Pigeonpea (Cajanus cajan)

Genome assembly of short reads from large plant genomes remains a challenge in computational biology despite major developments in Next Generation sequencing. Of late multiple draft assemblies of plant genomes are reported in many organisms. The draft assemblies of Cajanus cajan are with different levels of genome completeness; contain large number of repeats, gaps and segmental duplications. Draft assemblies with portions of genome missing, are shorter than the referenced original genome. These assemblies come with low map accuracy affecting further functional annotation and prediction of gene component as desired by crop researchers. Genome coverage i.e. number of sequenced raw reads mapped on to certain locations of the genome is an important quality indicator of completeness and assembly quality in draft assemblies. Present work was aimed at improvement of coverage in reported de novo sequenced draft genomes (GCA_000340665.1 and GCA_000230855.2) of Pigeonpea, a legume widely cultivated in India. The two assemblies comprised 72% and 75% of estimated coverage of genome respectively. We employed assembly reconciliation approach to compare draft assemblies and merged them to generate a high quality near complete assembly with enhanced contiguity. Finished assembly has reduced number of gaps than reported in draft assemblies and improved genome coverage of 82.4%. Quality of the finished assembly was evaluated using various quality metrics and for presence of specific trait related functional genes. Employed pair-end and mate-pair local library data sets enabled to resolve gaps, repeats and other sequence errors yielding lengthier scaffolds compared to two draft assemblies. We report prediction of putative host resistance genes from improved sequence against Fusarium wilt disease and evaluated them in both wet laboratory and field phenotypic conditions.

genomics↗

Single-cell multimodal glioma analyses reveal epigenetic regulators of cellular plasticity and environmental stress response

Glioma intratumoral heterogeneity enables adaptation to challenging microenvironments and contributes to universal therapeutic resistance. Here, we integrated 914 single-cell DNA methylomes, 55,284 single-cell transcriptomes, and bulk multi-omic profiles across 11 adult IDH-mutant or IDH-wild-type gliomas to delineate sources of intratumoral heterogeneity. We found that local DNA methylation instability, or epimutation burden, was elevated in more aggressive tumors, reflected intratumoral variability, linked with transcriptional disruption, and associated with environmental stress response. We show that the activation of cell-state specific transcription factors is impacted by epimutations and that loosened epigenetic control may facilitate cellular plasticity. Our analyses support that somatic copy number alterations (SCNAs) promote epigenetic instability and that SCNAs largely precede epigenetic and transcriptomic diversification during glioma evolution. We confirmed the link between genetic and epigenetic instability by analyzing larger cohorts of bulk longitudinally collected and spatially separated DNA methylation data. Increased DNA methylation instability was associated with accelerated disease progression, and recurrently selected DNA methylation changes were enriched for environmental stress response pathways. Our work provides an integrative framework to better understand glioma evolution and highlights the importance of epigenetic heterogeneity in shaping therapeutic response.

cancer biology↗

Multiplex Chromatin Interaction Analysis with Single-Molecule Precision

We describe a microfluidics-based strategy for genome-wide analysis of multiplex chromatin interactions with single-molecule precision. In multiplex chromatin interaction analysis (multi-ChIA), individual chromatin complexes are partitioned into droplets that contain a gel bead with unique DNA barcode, in which tethered chromatin DNA fragments are barcoded and amplified for sequencing and mapping to demarcate chromatin contacts. Thus, multi-ChIA has the unprecedented ability to uncover multiplex chromatin interactions at single-molecule level, which has been impossible using previous methods that rely on analyzing pairwise contacts via proximity ligation. We demonstrate that multiplex chromatin interactions predominantly contribute to topologically associated domains, and clusters of gene promoters and enhancers provide a fundamental topological framework for co-transcriptional regulation.

genomics↗