Biology subjects

Kumari, P.

Publications and source records attributed to Kumari, P..

48 records · Page 3Linked to original sources

bioRxiv2020

Analysis of zebrafish periderm enhancers facilitates identification of a regulatory variant near human KRT8/18

Genome wide association studies for non-syndromic orofacial cleft (OFC) have identified single nucleotide polymorphisms (SNPs) at loci where the presumed risk-relevant gene is expressed in oral periderm. The functional subsets of such SNPs are difficult to predict because the sequence underpinnings of periderm enhancers are unknown. We applied ATAC-seq to models of human palate periderm, including zebrafish periderm, mouse embryonic palate epithelia, and a human oral epithelium cell line, and to complementary mesenchymal cell types. We identified sets of enhancers specific to the epithelial cells and trained gapped-kmer support-vector-machine classifiers on these sets. We used the classifiers to predict the effect of 14 OFC-associated SNPs at 12q13 near KRT18. All the classifiers picked the same SNP as having the strongest effect, but the significance was highest with the classifier trained on zebrafish periderm. Reporter and deletion analyses support this SNP as lying within a periderm enhancer regulating KRT18/KRT8 expression.

developmental biology↗

bioRxiv2019

Insights into the ligand-free structure of cyclic diguanosine monophosphate I riboswitch of Vibrio cholerae using molecular dynamics simulation

Riboswitches are key cis regulatory elements present at 5 UTRs of mRNAs. They play a critical role in gene expression regulation at transcriptional and translational level by binding selectively to specific ligands followed by conformational changes. Ligands bind to the aptamer of riboswitches and their complex structures have been solved, but ligand-free riboswitches structures are not available which is important to understand specific ligand binding mechanism. In this paper, an all atom 150 nano-second (ns) molecular dynamics (MD) simulations of cyclic diguanosine monophosphate (c-di-GMP I) riboswitch aptamer domain from Vibrio cholerae were carried out to study ligand-free c-di-GMP I riboswitch aptamer structure and the binding mechanism. The Principle component analysis, cross correlation dynamics analysis and trajectory analyses revealed that the ligand-free structure has stable conformation with folded P2, P3 and an open P1 helix which opens the ligand binding helix-join-helix while the ligand-bound structure shows less deviation and remains as closed structure compared to the ligand-free structure. The junction residues significantly showed anti-correlated motions with each other elucidating the open conformation of the ligand-free aptamer of riboswitch. The identified key residues involved in binding are A18, G20, C46, A47 and C92. HighlightsO_LIThe c-di-GMP I riboswitch regulates the essential genes involved in the virulence of human bacterial pathogen V. Cholera. C_LIO_LIA 150 ns molecular dynamics run was performed to find a ligand-free stable structure of c-di-GMP I riboswitch aptamer. C_LIO_LIThe trajectory analysis resulted in stable conformation of ligand-free structure with folded P2, slightly open P3 and an unwind P1 helix. C_LIO_LIThe atomic level analyses through cross correlation dynamics and RMSF values showed the opening of catalytic pocket and unwinding P1 helix. C_LIO_LIThe identified key residues involved in binding are A18, G20, C46, A47 and C92 at the catalytic pocket. C_LI

bioinformatics↗

bioRxiv2019

Re-annotation of the Theileria parva genome refines 53% of the proteome and uncovers essential components of N-glycosylation, a conserved pathway in many organisms

BackgroundThe apicomplexan parasite Theileria parva causes a livestock disease called East coast fever (ECF), with millions of animals are at risk in sub-Saharan East and Southern Africa, the geographic distribution of T. parva. Over a million bovines die each year of ECF, with a tremendous economic burden to pastoralists in endemic countries. Comprehensive, accurate parasite genome annotation can facilitate the discovery of novel chemotherapeutic targets for disease treatment, as well as elucidate the biology of the parasite. However, genome annotation remains a significant challenge because of limitations in the quality and quantity of the data being used to inform the location and function of protein-coding genes and, when RNA data are used, the underlying biological complexity of the processes involved in gene expression. Here, we apply our recently published RNAseq dataset derived from the schizont life-cycle stage of T. parva to update structural and functional gene annotations across the entire nuclear genome. ResultsThe re-annotation effort lead to evidence-supported updates in over half of all protein-coding sequence (CDS) predictions, including exon changes, gene merges and gene splitting, an increase in average CDS length of approximately 50 base pairs, and the identification of 128 new genes. Among the new genes identified were those involved in N-glycosylation, a process previously thought not to exist in this organism and a potentially new chemotherapeutic target pathway for treating ECF. Alternatively-spliced genes were identified, and antisense and multi-gene family transcription were extensively characterized. ConclusionsThe process of re-annotation led to novel insights into the organization and expression profiles of protein-coding sequences in this parasite, and uncovered a minimal N-glycosylation pathway that changes our current understanding of the evolution of this post-translation modification in apicomplexan parasites.

genomics↗

bioRxiv2019

Conformational sensors and domain-swapping reveal structural and functional differences between β-arrestin isoforms

Desensitization, signaling and trafficking of G protein-coupled receptors (GPCRs) are critically regulated by multifunctional adaptor proteins, {beta}-arrestins ({beta}arrs). The two isoforms of {beta}arrs ({beta}arr1 and 2) share a high degree of sequence and structural similarity, still however, they often mediate distinct functional outcomes in the context of GPCR signaling and regulation. A mechanistic basis for such a functional divergence of {beta}arr isoforms is still lacking. Using a set of complementary approaches including antibody fragment based conformational sensors, we discover structural differences between {beta}arr1 and 2 upon their interaction with activated and phosphorylated receptors. Interestingly, domain swapped chimeras of {beta}arrs display robust complementation in functional assays thereby, linking the structural differences between the receptor-bound {beta}arr1 and 2 with their divergent functional outcomes. Our findings reveal important insights into the ability of {beta}arr isoforms to drive distinct functional outcomes, and underscore the importance of integrating this aspect in the current framework of biased agonism.

biophysics↗

bioRxiv2019

Two new polymorphic structures of alpha-synuclein solved by cryo-electron microscopy

Intracellular inclusions rich in alpha-synuclein are a hallmark of several neuropathological diseases including Parkinsons disease (PD). We here report two new polymorphic atomic structures of alpha-synuclein fibrils termed polymorphs 2a and 2b, at 3.0 [A] and 3.4 [A] resolution, respectively. These polymorphs show a radically different structure compared to previously reported polymorphs. The new structures have a 10 nm fibril diameter and are composed of two protofilaments which interact via intermolecular salt-bridges between amino acids K45, E57 (polymorph 2a) or E46 (polymorph 2b). The non-amyloid component (NAC) region of alpha-synuclein is fully buried by previously non-described interactions with the N-terminus. A hydrophobic cleft, the location of familial PD mutation sites, and the nature of the protofilament interface now invite to formulate hypotheses about fibril formation, growth and stability. Impact statementTwo new polymorphic structures of recombinant human alpha-synuclein fibrils show striking differences to previous structures, while familial PD mutation sites remain crucial for protofilament interaction and fibril stability.

neuroscience↗

bioRxiv2019

Genetically encoded intrabody sensors illuminate structural and functional diversity in GPCR-β-arrestin complexes

Interaction of {beta}-arrestins ({beta}arrs) upon agonist-stimulation is a hallmark of G protein-coupled receptors (GPCRs) resulting in receptor desensitization, endocytosis and signaling. Although overall functional roles of {beta}arrs are typically believed to be conserved across different receptors, emerging data now clearly unveils receptor-specific functional contribution of {beta}arrs. The underlying mechanism however remains mostly speculative and represents a key missing link in our current understanding of GPCR signaling and regulatory paradigms. Here, we develop synthetic intrabody-based conformational sensors that help us visualize the assembly and trafficking of GPCR-{beta}arr1 complexes in cellular context for a broad set of receptors with spatio-temporal resolution. Surprisingly, these conformational sensors reveal a previously unappreciated level of diversity in GPCR-{beta}arr complexes that extends beyond the current framework of affinity-based classification and phosphorylation-code-based interaction patterns. More importantly, this conformational diversity arising from spatial signature of phosphorylation sites manifests directly in the form of distinct functional outcomes, including even opposite contribution of {beta}arrs in signal-transduction for different receptors. Taken together, these findings uncover that despite an overall similar interaction and trafficking patterns; critical structural and functional differences exist in {beta}arr complexes for different GPCRs that define and fine-tune receptor-specific downstream responses.

cell biology↗

bioRxiv2019

Meta-taxonomic Analysis of Prokaryotic and Eukaryotic Gut Flora in Stool Samples from Visceral Leishmaniasis Cases and Endemic Controls in Bihar State India

Visceral leishmaniasis (VL) caused by Leishmania donovani remains of public health concern in rural India. Those at risk of VL are also at risk of other neglected tropical diseases (NTDs) including soil transmitted helminths. Intestinal helminths are potent regulators of host immune responses sometimes mediated through cross-talk with gut microbiota. We evaluate a meta-taxonomic approach to determine the composition of prokaryotic and eukaryotic gut microflora using amplicon-based sequencing of 16S ribosomal RNA (16S rRNA) and 18S rRNA gene regions. The most abundant bacterial taxa identified in faecal samples from Bihar State India were Prevotella (37.1%), Faecalibacterium (11.3%), Escherichia-Shigella (9.1%), Alloprevotella (4.5%), Bacteroides (4.1%), Ruminococcaceae UCG-002 (1.6%), and Bifidobacterium (1.5%). Eukaryotic taxa identified (excluding plant genera) included Blastocystis (57.9%; Order: Stramenopiles), Dientamoeba (12.1%; Family: Tritrichomonadea), Pentatrichomonas (10.1%; Family: Trichomonodea), Entamoeba (3.5%; Family: Entamoebida), Ascaridida (0.8%; Family: Chromodorea; concordant with Ascaris by microscopy), Rhabditida (0.8%; Family: Chromodorea; concordant with Strongyloides), and Cyclophyllidea (0.2%; Order: Eucestoda; concordant with Hymenolepis). Overall alpha (Shannons, Faiths and Pielous indices) and beta (Bray-Curtis dissimilarity statistic; weighted UniFrac distances) diversity of taxa did not differ significantly by age, sex, geographic subdistrict, or VL case (N=23) versus endemic control (EC; N=23) status. However, taxon-specific associations occurred: (i) Ruminococcaceae UCG-014 and Gastranaerophilales_uncultured bacterium were enriched in EC compared to VL cases; (ii) Pentatrichomonas was more abundant in VL cases than in EC, whereas the reverse occurred for Entamoeba. Across the cohort, high Escherichia-Shigella was associated with reduced bacterial diversity, while high Blastocystis was associated with high bacterial diversity and low Escherichia-Shigella. Individuals with high Blastocystis had low Bacteroidaceae and high Clostridiales vadin BB60 whereas the reverse held true for low Blastocystis. This scoping study provides useful baseline data upon which to develop a broader analysis of pathogenic enteric microflora and their influence on gut microbial health and NTDs generally.\n\nAuthor SummaryVisceral leishmaniasis (VL), also known as kala-azar, is a potentially fatal disease caused by intracellular parasites of the Leishmania donovani complex. VL is a serious public health problem in rural India, causing high morbidity and mortality, as well as major costs to local and national health budgets. People at risk of VL are also at risk of other neglected tropical diseases (NTDs) including soil transmitted helminths (worms). Intestinal worms are potent regulators of host immune responses often mediated through cross-talk with gut bacteria. Here we have used a modern DNA sequencing approach to determine the composition of microbiota in stool samples from VL cases and endemic controls. This allows us to determine all bacteria, as well as all single-celled and multicellular organisms, that comprise the microorganisms in the gut in a single sequencing experiment from a single stool sample. In addition to providing valuable information concerning commensal and pathogenic gut micro-organisms prevalent in this region of India, we find some specific associations between single-celled gut pathogens and VL case status.

genomics↗

bioRxiv2019

The impact of distillery effluent irrigation on plant-growth-promoting traits and taxonomic composition of bacterial communities in agricultural soil

Long-term irrigation of agricultural fields with distillery effluent (DE) may alter the physical, chemical and biological properties of the soil. Microorganisms are critical to the maintenance of soil health and productivity. However, the impact of DE irrigation on activity and taxonomy of soil microorganisms is poorly understood. Here we studied plant-growth-promoting (PGP) traits and taxonomic composition of bacterial communities in agricultural soil irrigated with DE in conjugation with irrigation water, using cultivation-dependent and - independent methods. Most of the bacterial isolates obtained from DE irrigated soil were found to display PGP traits (phosphate solubilization, siderophore, indolic compounds and ammonia production). Diverse bacterial taxa were found in both culturable bacterial community and 16S rRNA gene clone library, which belonged to bacterial phyla Proteobacteria (Alpha-, Beta- and Gamma- subdivisions), Firmicutes, Actinobacteria, Acidobacteria, Bacteroidetes and Gemmatimonadates. Overall, these results indicate that PGP traits and taxonomic diversity of soil bacterial communities were not severely impacted by DE irrigation.

microbiology↗

bioRxiv2019

Partial ligand-receptor engagement yields functional bias at the human complement receptor, C5aR1

The human complement component, C5a, binds two different seven transmembrane receptors termed as C5aR1 and C5aR2. C5aR1 is a prototypical G protein-coupled receptor that couples to Gi sub-family of heterotrimeric G proteins and {beta}-arrestins ({beta}arr) following C5a stimulation. Peptide fragments derived from the carboxyl-terminus of C5a can still interact with the receptor, albeit with lower affinity, and can act as agonists or antagonists. However, whether such fragments might display ligand bias at C5aR1 remains unexplored. Here, we compare C5a and a modified C-terminal fragment of C5a, C5apep, in terms of G protein coupling, {beta}arr recruitment, endocytosis and ERK1/2 MAP kinase activation at the human C5aR1. We discover that C5apep acts as a full-agonist for G protein coupling, while only displaying partial agonism for {beta}arr recruitment. We also observe that whilst C5apep is significantly less efficient in inducing C5aR1 endocytosis compared to C5a, it exhibits robust activation of ERK1/2 phosphorylation at levels similar to C5a. Interestingly, C5apep displays full-agonist efficacy with respect to inhibiting LPS induced IL-6 secretion in human macrophages, but its ability to induce human neutrophil migration is substantially lower compared to C5a. Taken together, our findings reveal ligand-bias at C5aR1, not only with respect to transducer-coupling and receptor trafficking but also in terms of cellular responses. Our findings therefore establish a framework to explore additional levels of biased signaling and biased ligands at C5aR1 with therapeutic potential. More generally, our findings may be extended to discover biased ligands for the broad sub-family of chemokine GPCRs which also interact with chemokine ligands through a biphasic mechanism.

biochemistry↗

bioRxiv2018

Microtubule-associated protein IQ67 DOMAIN5 regulates interdigitation of leaf pavement cells in Arabidopsis thaliana

Plant microtubules form a highly dynamic intracellular network with important roles for regulating cell division, cell proliferation and cell morphology. Its organization and dynamics are coordinated by various microtubule-associated proteins (MAPs) that integrate environmental and developmental stimuli to fine-tune and adjust cytoskeletal arrays. IQ67 DOMAIN (IQD) proteins recently emerged as a class of plant-specific MAPs with largely unknown functions. Here, using a reverse genetics approach, we characterize Arabidopsis IQD5 in terms of its expression domains, subcellular localization and biological functions. We show that IQD5 is expressed mostly in vegetative tissues, where it localizes to cortical microtubule arrays. Our phenotypic analysis of iqd5 loss-of-function lines reveals functions of IQD5 in pavement cell (PC) shape morphogenesis, as indicated by reduced interdigitation of neighboring cells in the leaf epidermis of iqd5 mutants. Histochemical analysis of cell wall composition further suggests reduced rates of cellulose deposition in anticlinal cell walls, which correlate with reduced asymmetric expansion. Lastly, we provide evidence for IQD5-dependent recruitment of calmodulin calcium sensors to cortical microtubule arrays. Our work thus identifies IQD5 as a novel player in PC shape regulation, and, for the first time, links calcium signaling to developmental processes that regulate multi-polar growth in PCs.\n\nHighlightMicrotubule-localized Arabidopsis IQ67 DOMAIN5 regulates pavement cell morphogenesis in the leaf epidermis and links calcium-calmodulin signaling to lobe initiation and asymmetric expansion during early phases of interdigitated cell growth.

plant biology↗

bioRxiv2017

Archaeal community structure and underlying ecological processes in swine manure slurry

The ecological processes underlying the observed patterns in community composition of archaea in swine manure slurry are poorly understood. We studied the archaeal communities from six swine manure slurry storage tanks using paired-end Illumina sequencing of the v3 hypervariable region of 16S rRNA gene. Across all samples, the archaeal community was dominated by methanogens related to Thermoplasmata, Methanomicrobia, and Methanobacteria classes. At the genus level, the archaeal community was dominated by a single uncultured lineage of archaea, vadinCA11, followed by methanogenic genera Methanobrevibacter, Methanosarcina, Methanosphaera, Methanogenium, Methanocorpusculum, Methanoculleus, and Methanomicrococcus. Significant phylogenetic signals were detected across relatively short phylogenetic distances, indicating that closely related archaeal operational taxonomic units (OTUs) tend to have similar niches. The standardized effect sizes of mean nearest taxon distance (SES.MNTD) showed that archaeal community was phylogenetically clustered, suggesting that environmental filtering deterministically influence the within-community composition of archaea. However, between-community analysis based on {beta}-nearest taxon index ({beta}NTI) revealed that both deterministic selection and stochastic processes operate simultaneously to govern the assembly of archaeal communities. These findings significantly enhance our understanding of archaeal community assembly and underlying ecological processes is swine manure slurry.

microbiology↗

bioRxiv2017

MatchMiner: An open source computational platform for real-time matching of cancer patients to precision medicine clinical trials using genomic and clinical criteria

BackgroundMolecular profiling of cancers is now routine at many cancer centers, and the number of precision cancer medicine clinical trials, which are informed by profiling, is steadily rising. Additionally, these trials are becoming increasingly complex, often having multiple arms and many genomic eligibility criteria. Currently, it is a challenging for physicians to match patients to relevant clinical trials using the patients genomic profile, which can lead to missed opportunities. Automated matching against uniformly structured and encoded genomic eligibility criteria is essential to keep pace with the complex landscape of precision medicine clinical trials.\n\nResultsTo meet these needs, we built and deployed an automated clinical trial matching platform called MatchMiner at the Dana-Farber Cancer Institute (DFCI). The platform has been integrated with Profile, DFCIs enterprise genomic profiling project, which contains tumor profile data for >20,000 patients, and has been made available to physicians across the Institute. As no current standard exists for encoding clinical trial eligibility criteria, a new language called Clinical Trial Markup Language (CTML) was developed, and over 178 genomically-driven clinical trials were encoded using this language. The platform is open source and freely available for adoption by other institutions.\n\nConclusionMatchMiner is the first open platform developed to enable computational matching of patient-specific genomic profiles to precision cancer medicine clinical trials. Creating MatchMiner required developing clinical trial eligibility standards to support genome-driven matching and developing intuitive interfaces to support practical use-cases. Given the complexity of tumor profiling and the rapidly changing multi-site nature of genome-driven clinical trials, open source software is the most efficient, scalable, and economical option for matching cancer patients to clinical trials.

bioinformatics↗