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Gupta, S.

Publications and source records attributed to Gupta, S..

At least 163 records · Page 9Linked to original sources

MAGMa: Your Comprehensive Tool for Differential Expression Analysis in Mass-Spectrometry Proteomic Data.

Proteomics, the study of proteins and their functions, plays a vital role in understanding biological processes. In this study, we sought to address the challenges in analyzing complex proteomic datasets, where subtle changes in protein abundance are difficult to detect. Utilizing a newly developed tool, Maximal Aggregation of Good protein signal from Mass spectrometric data (MAGMa), we demonstrated its superior performance in accurately identifying true signals while effectively filtering out noise. Here we show that MAGMa strikes a balance between sensitivity and specificity on benchmarking datasets, offering a robust solution for analyzing various quantitative proteomic datasets. These findings advance the field by providing researchers with a powerful tool to uncover subtle changes in protein abundance, contributing to our understanding of complex biological systems and potentially facilitating the discovery of new therapeutic targets.

bioinformatics↗

Single-cell dynamics of genome-nucleolus interactions captured by nucleolar laser microdissection (NoLMseq)

Gene position in the nuclear space plays an important role in gene regulation. This is exemplified by repressive chromatin domains frequently contacting nuclear lamina or nucleoli. The nucleolus undergoes structural changes in response to various cellular states, potentially impacting genome organization. However, how the 3D-genome organization responds to nucleolar states has remained underinvestigated due to the lack of methods able to identify nucleolar associated domains (NADs) in single cells and under nucleolar stress. To address this, we developed NoLMseq, a method combining laser-capture microdissection and DNA sequencing to map NADs in single cells. NoLMseq identified many unexplored features of chromosome organization around single nucleoli such as NAD heterogeneity among ESCs, culminating in two major populations with distinct chromatin states. NADs prevalently contact nucleoli in a monoallelic manner and allelic nucleolar contact frequency mirrors gene expression and chromatin states. NoLMseq also revealed how chromosomes reorganise around nucleoli under nucleolar stress conditions, highlighting the importance of nucleolus integrity in genome organization and 3D-genome response to nucleolar stress. The results demonstrated that NoLMseq accurately measures chromosome contacts around single healthy and stressed nucleoli and it will be a critical tool to study NADs within biological populations and determine how the 3D-genome responds to nucleolar stress in healthy and disease states.

genomics↗

Directed evolution of hyperactive integrases for site specific insertion of transgenes

The ability to deliver large transgenes to a single genomic sequence with high efficiency would accelerate biomedical interventions. Current methods suffer from low insertion efficiency and most rely on undesired double-strand DNA breaks. Serine integrases catalyze the insertion of large DNA cargos at attachment (att) sites. By targeting att sites to the genome using technologies such as prime editing, integrases can target safe loci while avoiding double-strand breaks. We developed a method of phage-assisted continuous evolution we call IntePACE, that we used to rapidly perform hundreds of rounds of mutagenesis to systematically improve activity of PhiC31 and Bxb1 serine integrases. Novel hyperactive mutants were generated by combining synergistic mutations resulting in integration of a multi-gene cargo at rates as high as 80% of target chromosomes. Hyperactive integrases inserted a 15.7 kb therapeutic DNA cargo containing Von Willebrand Factor. This technology could accelerate gene delivery therapeutics and our directed evolution strategy can easily be adapted to improve novel integrases from nature. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=148 SRC="FIGDIR/small/598370v1_ufig1.gif" ALT="Figure 1"> View larger version (24K): org.highwire.dtl.DTLVardef@438582org.highwire.dtl.DTLVardef@f242f9org.highwire.dtl.DTLVardef@10ae9eborg.highwire.dtl.DTLVardef@183543f_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

Parkinson's LRRK2-G2019S risk gene mutation drives sex-specific behavioral and cellular adaptations to chronic variable stress

Anxiety is a psychiatric non-motor symptom of Parkinsons that can appear in the prodromal period, prior to significant loss of brainstem dopamine neurons and motor symptoms. Parkinsons-related anxiety affects females more than males, despite the greater prevalence of Parkinsons in males. How stress, anxiety and Parkinsons are related and the basis for a sex-specific impact of stress in Parkinsons are not clear. We addressed this using young adult male and female mice carrying a G2019S knockin mutation of leucine-rich repeat kinase 2 (Lrrk2G2019S) and Lrrk2WT control mice. In humans, LRRK2G2019S significantly elevates the risk of late-onset Parkinsons. To assess within-sex differences between Lrrk2G2019S and control mice in stress-induced anxiety-like behaviors in young adulthood, we used a within-subject design whereby Lrrk2G2019S and Lrrk2WT control mice underwent tests of anxiety-like behaviors before (baseline) and following a 28 day (d) variable stress paradigm. There were no differences in behavioral measures between genotypes in males or females at baseline, indicating that the mutation alone does not produce anxiety-like responses. Following chronic stress, male Lrrk2G2019S mice were affected similarly to male wildtypes except for novelty-suppressed feeding, where stress had no impact on Lrrk2G2019S mice while significantly increasing latency to feed in Lrrk2WT control mice. Female Lrrk2G2019S mice were impacted by chronic stress similarly to wildtype females across all behavioral measures. Subsequent post-stress analyses compared cFos immunolabeling-based cellular activity patterns across several stress-relevant brain regions. The density of cFos-activated neurons across brain regions in both male and female Lrrk2G2019S mice was generally lower compared to stressed Lrrk2WT mice, except for the nucleus accumbens of male Lrrk2G2019S mice, where cFos-labeled cell density was significantly higher than all other groups. Together, these data suggest that the Lrrk2G2019S mutation differentially impacts anxiety-like behavioral responses to chronic stress in males and females that may reflect sex-specific adaptations observed in circuit activation patterns in stress-related brain regions.

neuroscience↗

System genomics of salinity stress response in rice

Populations can adapt to stressful environments through changes in gene expression. However, the fitness effect of gene expression in mediating stress response and adaptation remains largely unexplored. Here, we use an integrative field dataset obtained from 780 plants of Oryza sativa ssp. indica (rice) grown in a field experiment under normal or moderate salt stress conditions to examine selection and evolution of gene expression variation under salinity stress conditions. We find that salinity stress induces increased selective pressure on gene expression. Further, we show that trans-eQTLs rather than cis-eQTLs are primarily associated with rices gene expression under salinity stress, potentially via a few master-regulators. Importantly, and contrary to the expectations, we find that cis-trans reinforcement is more common than cis-trans compensation which may be reflective of rice diversification subsequent to domestication. We further identify genetic fixation as the likely mechanism underlying this compensation/reinforcement. Additionally, we show that cis- and trans-eQTLs are under balancing and purifying selection, respectively, giving us insights into the evolutionary dynamics of gene expression variation. By examining genomic, transcriptomic, and phenotypic variation across a rice population, we gain insights into the molecular and genetic landscape underlying adaptive salinity stress responses, which is relevant for other crops and other stresses.

systems biology↗

A structure-guided approach to predict MHC-I restriction of T cell receptors for public antigens

Peptides presented by class I major histocompatibility complex (MHC-I) proteins provide biomarkers for therapeutic targeting using T cell receptors (TCRs), TCR-mimicking antibodies (TMAs), or other engineered protein binders. Despite the extreme sequence diversity of the Human Leucocyte Antigen (HLA, the human MHC), a given TCR or TMA is restricted to recognize epitopic peptides in the context of a limited set of different HLA allotypes. Here, guided by our analysis of 96 TCR:pHLA complex structures in the Protein Data Bank (PDB), we identify TCR contact residues and classify 148 common HLA allotypes into T-cell cross-reactivity groups (T-CREGs) on the basis of their interaction surface features. Insights from our work have actionable value for resolving MHC-I restriction of TCRs, guiding therapeutic expansion of existing therapies, and informing the selection of peptide targets for forthcoming immunotherapy modalities.

immunology↗

Global genomics of Aedes aegypti unveils widespread and novel persistent infectious viruses capable of triggering a small RNA response

The mosquito Aedes aegypti is a prominent vector for arboviruses, but the breadth of mosquito viruses that infects this specie is not fully understood. In the broadest global survey to date of over 200 Ae. aegypti small RNA samples, we detected viral small interfering RNAs (siRNAs) and Piwi interacting RNAs (piRNAs) arising from mosquito viruses. We confirmed that most academic laboratory colonies of Ae. aegypti lack persisting viruses, yet two commercial strains were infected by a novel tombus-like virus. Ae. aegypti from North to South American locations were also teeming with multiple insect viruses, with Anphevirus and a bunyavirus displaying geographical boundaries from the viral small RNA patterns. Asian Ae. aegypti small RNA patterns indicate infections by similar mosquito viruses from the Americas and reveal the first wild example of dengue virus infection generating viral small RNAs. African Ae. aegypti also contained various viral small RNAs including novel viruses only found in these African substrains. Intriguingly, viral long RNA patterns can differ from small RNA patterns, indicative of viral transcripts evading the mosquitoes RNA interference (RNAi) machinery. To determine whether the viruses we discovered via small RNA sequencing were replicating and transmissible, we infected C6/36 and Aag2 cells with Ae. aegypti homogenates. Through blind passaging, we generated cell lines stably infected by these mosquito viruses which then generated abundant viral siRNAs and piRNAs that resemble the native mosquito viral small RNA patterns. This mosquito small RNA genomics approach augments surveillance approaches for emerging infectious diseases.

genomics↗

Systemic mRNA transport depends on m5C methylation, nuclear mRNA export factors and developmental phase changes

In grafted plants mRNAs can be transported from shoot to root, however, how their mobility is regulated remains poorly understood. Recent work has shown that m5C methylation plays an essential role in systemic mRNA mobility in vegetative plants, but its role at later developmental stages remains unclear. To address this, we examined the mobility of three mobile mRNAs, TCTP1, HSC70.1 and GRP7 in mutants deficient in m5C mRNA methylation. By comparing vegetative and flowering stages, we found that in contrast to GRP7, the reduced mobility of TCTP1 and HSC70.1 observed in the vegetative growth phase is restored upon flowering, indicating that m5C-dependent regulation of RNA transport is developmentally controlled. We further identified two RNA-binding proteins, the nuclear mRNA export factors ALY2 and ALY4, as phloem mobile. ALY2 and ALY4 deficient plants show a similar developmental effect on mRNA mobility as m5C mRNA methylation mutants, suggesting that they contribute to the regulation of systemic mRNA transport. Notably, combined perturbation of m5C methylation and ALY2 or ALY4 results in reduced mRNA mobility even in flowering plants. Together, our findings reveal an unexpected developmental layer of control over mRNA transport and identify the nuclear mRNA export factors ALY2 and ALY4 as potential regulators of long-distance RNA movement. SIGNIFICANCE STATEMENTmRNA m5C methylation is essential for shoot-to-root mRNA transport during plant growth; however, whether and how mRNA mobility is regulated, and whether it changes during development remains unclear. We show that TCTP1 and HSC70.1 mRNA transport is reduced in vegetatively growing m5C-deficient mutants but remains unaffected upon flowering, and identify ALY2 and ALY4 proteins, two nuclear export factors, as additional regulators of long-distance mRNA transport, providing new layer of mRNA transport.

plant biology↗

Pattern of Alcohol tolerance and Adh gene Frequencies in Northern and Southern Populations of two Drosophila species from India.

In this study, we collected four geographical populations of Drosophila melanogaster and Drosophila ananassae from the southern and northern axes of India, spanning latitudes ranging from 13.04{degrees}N to 29.58{degrees}N. We observed significant clinal variation at the alcohol dehydrogenase (Adh) locus, with the frequency of the Adh F allele increasing by 3% and 1.5% per degree latitude in D. melanogaster and D. ananassae, respectively. Adult populations of D. melanogaster were found to tolerate ethanol concentrations ranging from 10% to 14.75%, while D. ananassae exhibited tolerance levels between 2.4% and 4.0%. These patterns of interspecific divergence in ethanol tolerance levels corresponded with their natural habitats: D. ananassae primarily utilizes fermented organic matter and fruits in the wild, while D. melanogaster exploits ethanol-rich resources found indoors. Ethanol serves as a resource at low concentrations but becomes a stressor at higher concentrations for D. ananassae. Both traits exhibited a clinal pattern that is increase in ethanol tolerance and of the frequency of Adh-F allele with latitude. Our observations suggest that D. ananassae exhibits adaptive characteristics for ethanol utilization, while D. melanogaster populations demonstrate both ethanol utilization and detoxification abilities. The observed latitudinal variation in Adh F frequency and ethanol tolerance in these two Drosophilids may be maintained by the interplay of balancing natural selection and climatic factors that vary spatially along the south-north axis of the Indian subcontinent.

zoology↗

Impedance-based assay for pan-cancer early and rapid detection of cell-free DNA

Aberrant DNA methylation is a hallmark of cancer, and plasma cell-free DNA (cfDNA) containing these abnormal methylation patterns has emerged as a promising non-invasive biomarker for pan-cancer detection. However, intrinsic challenges remain that continue to limit its broad clinical application. Here we show a simple and rapid impedance biosensor called Asima Rev that can detect cancer cfDNA in under 5 min without the need for any molecular labelling, electrode modification, signal amplification, or target enrichment steps. Using 216 clinical samples (50 healthy) from 15 different cancer types (all stages) we show an overall sensitivity and specificity of 96.4% and 94.0%, respectively. Differences in methylation content between cancerous and healthy cfDNA lead to distinct solvation behaviour and electro-physicochemical property that remain consistent across cancer types regardless of the distribution patterns of methyl cytosine. Our test exploits this inherent difference.

biophysics↗

Characteristics of epitopes of limited variability on the head of influenza H1 haemagglutinin

It is commonly assumed that naturally protective targets of immunity in influenza are highly variable. Theoretical work suggests, by contrast, that influenza evolution is primarily driven by naturally protective responses against epitopes of limited variability (ELV). At least one ELV has been identi[fi]ed on the head region of haemagglutinin of H1 influenza, opening up the possibility of producing a universal influenza vaccine. Here we demonstrate that the head region of H1 haemagglutinin can be decomposed into a number of discrete variable regions (VRs): ELVs tend to include a limited number of VRs compared to other epitopes either because of the smaller footprint of the associated antibody or because they are centred on VRs that are relatively isolated from others. We conclude that the variability of an antibody binding site is determined by the number of variable residues included in its footprint rather than the intrinsic entropy of any particular region.

genomics↗

Epigenetic cross-talk between Sirt1 and Dnmt1 promotes axonal regeneration after spinal cord injury in zebrafish

Though spinal cord injury (SCI) causes irreversible sensory and motor impairments in human, adult zebrafish retain the potent regenerative capacity by injury-induced proliferation of central nervous system (CNS)-resident progenitor cells to develop new functional neurons at the lesion site. The hallmark of SCI in zebrafish lies in a series of changes in the epigenetic landscape, specifically DNA methylation and histone modifications. Decoding the post-SCI epigenetic modifications is therefore critical for the development of therapeutic remedies that boost SCI recovery process. Here, we have studied on Sirtuin1 (Sirt1), a non-classical histone deacetylase that potentially play a critical role in neural progenitor cells (NPCs) proliferation and axonal regrowth following SCI in zebrafish. We investigated the role of Sirt1 in NPC proliferation and axonal regrowth in response to injury in the regenerating spinal cord and found that Sirt1 is involved in the induction of NPC proliferation along with glial bridging during spinal cord regeneration. We also demonstrate that Sirt1 plays a pivotal role in regulating the HIPPO pathway through deacetylation-mediated inactivation of Dnmt1 and subsequent hypomethylation of yap1 promoter, leading to the induction of ctgfa expression, which drives the NPC proliferation and axonal regrowth to complete the regenerative process. In conclusion, our study reveals a novel cross-talk between two important epigenetic effectors, Sirt1 and Dnmt1, in the context of spinal cord regeneration, establishing a previously undisclosed relation between Sirt1 and Yap1 which provides a deeper understanding of the underlying mechanisms governing injury-induced NPC proliferation and axonal regrowth. Therefore, we have identified Sirt1 as a novel, major epigenetic regulator of spinal cord regeneration by modulating the HIPPO pathway in zebrafish.

neuroscience↗

Multisensory integration in Anopheles mosquito swarms: The role of visual and acoustic information in mate tracking and collision avoidance

Male mosquitoes form aerial aggregations, known as swarms, to attract females and maximize their chances of finding a mate. Within these swarms, individuals must be able to recognize potential mates and navigate the dynamic social environment to successfully intercept a mating partner. Prior research has almost exclusively focused on the role of acoustic cues in mediating the ability of male mosquitoes to recognize and pursue flying females. However, the role of other sensory modalities in this behavior has not been explored. Moreover, how males avoid collisions with one another in the dense swarm while pursuing females remains poorly understood. In this study, we combined free-flight and tethered flight simulator experiments to demonstrate that swarming Anopheles coluzzii mosquitoes integrate visual and acoustic information to track conspecifics and avoid collisions. Our tethered experiments revealed that acoustic stimuli gated mosquito steering responses to visual objects simulating nearby mosquitoes, especially in males that exhibited attraction to visual objects in the presence of female flight tones. Additionally, we observed that visual cues alone could trigger changes in wingbeat amplitude and frequency of mosquitoes. These findings were corroborated by our free-flight experiments, which revealed that mosquitoes modulate their flight responses to nearby conspecifics in a similar manner to tethered animals, allowing for collision avoidance within swarms. Together, these results demonstrate that both males and females integrate multiple sensory inputs to mediate swarming behavior, and for males, the change in flight kinematics in response to multimodal cues allows them to simultaneously track females while avoiding collisions.

neuroscience↗

Fur microbiome as a putative source of symbiotic bacteria in sucking lice

Symbiosis between insects and bacteria has been established countless times. While it is well known that the symbionts originated from a variety of different bacterial taxa, it is usually difficult to determine their environmental source and a route of their acquisition by the host. In this study, we address this question using a model of Neisseriaceae symbionts in rodent lice. These bacteria established their symbiosis independently with different louse taxa (Polyplax, Hoplopleura, Neohaematopinus), most likely from the same environmental source. We first applied amplicon analysis to screen for candidate source bacterium in the louse environment, that is, three species of rodents (Microtus arvalis, Clethrionomys glareolus, and Apodemus flavicollis). The screened samples included rodent fur, skin, spleen, and ectoparasites sampled from the rodents. The amplicon analysis revealed a Neisseriaceae bacterium, closely related to the known louse symbionts. We assembled genome drafts of this environmental bacterium from all three rodent hosts. The sizes of the three drafts converged to a remarkably small size of approximately 1.4 Mbp, which is even smaller than the genomes of the related symbionts. Based on these findings, we propose a hypothetical scenario of the genome evolution during the transition of a free-living bacterium to the member of the rodent fur-associated microbiome and subsequently to the facultative and obligate louse symbionts.

ecology↗

PEPerMINT: Peptide Abundance Imputation in Mass Spectrometry-based Proteomics using Graph Neural Networks

MotivationAccurate quantitative information about the protein abundance is crucial for understanding a biological system and its dynamics. Protein abundance is commonly estimated using label-free, bottom-up mass spectrometry protocols. Here, proteins are digested into peptides before quantification via mass spectrometry. However, missing peptide abundance values, which can make up more than 50% of all abundance values, are a common issue. They result in missing protein abundance values, which then hinder accurate and reliable downstream analyses. ResultsTo impute missing abundance values, we propose PEPerMINT, a graph neural network model working directly on the peptide level that flexibly takes both peptide-to-protein relationships in a graph format as well as amino acid sequence information into account. We benchmark our method against eleven common imputation methods on six diverse datasets, including cell lines, tissue, and plasma samples. We observe that PEPerMINT consistently outperforms other imputation methods. Its prediction performance remains high for varying degrees of missingness, different evaluation approaches and differential expression prediction. As an additional novel feature, PEPerMINT provides meaningful uncertainty estimates and allows for tailoring imputation to the users needs based on the reliability of imputed values. Availability and implementationThe code is available at https://github.com/DILiS-lab/pepermint.

bioinformatics↗

Fitness Factor Genes Conserved within the Multi-species Core Genome of Gram-negative Enterobacterales Species Contribute to Bacteremia Pathogenesis

There is a critical gap in knowledge about how Gram-negative bacterial pathogens, using survival strategies developed for other niches, cause lethal bacteremia. Facultative anaerobic species of the Enterobacterales order are the most common cause of Gram-negative bacteremia, including Escherichia coli, Klebsiella pneumoniae, Serratia marcescens, Citrobacter freundii, and Enterobacter hormaechei. Bacteremia often leads to sepsis, a life-threatening organ dysfunction resulting from an unregulated immune response to infection. Despite a lack of specialization for this host environment, Gram-negative pathogens cause nearly half of bacteremia cases annually. Based on our existing Tn-Seq fitness factor data from a murine model of bacteremia combined with comparative genomics of the five Enterobacterales species above, we prioritized 18 conserved fitness genes or operons for further characterization. Each mutant in each species was used to cochallenge C57BL/6 mice via tail vein injection along with the respective wild-type strain to determine competitive indices for each fitness gene or operon. Among the five species, we found three fitness factor genes, that when mutated, attenuated the mutant for all species in the spleen and liver (tatC, ruvA, gmhB). Nine additional fitness factor genes or operons were validated as outcompeted by wild-type in three or four bacterial species in the spleen (xerC, wzxE, arcA, prc, apaGH, atpG, lpdA, ubiH, aroC). Overall, 17 of 18 fitness factor mutants were attenuated in at least one species in the spleen or liver. Together, these findings allow for the development of a model of bacteremia pathogenesis that may include future targets of therapy against bloodstream infections. >Author SummaryFrequent cases of bacteremia plague our ICUs, bone marrow transplant units, and inpatient facilities. Nearly half of these infections are caused by Gram-negative bacteria. The Enterobacterales order including E. coli, K. pneumoniae, S. marcescens, C. freundii, and E. hormaechei are leading causes of bacteremia. An alarming proportion of these are due to antibiotic-resistant isolates, which are four times more likely to kill than antibiotic-susceptible isolates. Clearly, we need new therapeutic targets to treat cases of bacteremia and sepsis. Previously, it has been unclear what genes contribute to their ability to survive in this hostile host environment. We have previously undertaken unbiased genetic screens to identify 18 genes shared by all five bacterial genera that are required for survival in blood and blood-filtering organs. These include genes that encode proteins that maintain proton motive force, resist antimicrobial peptides and complement, mediate genome maintenance, transport key metabolites and proteins, avoid oxidative stress, acquire iron, and regulate key pathways. Mutants, constructed in these shared genes in the five species, were validated for a high proportion of genes as critical for infection in the mouse model of bacteremia.

microbiology↗

Structure and Functions of Gesture Sequences in Wild Bonnet Macaques (Macaca radiata)

Compositionality, a hallmark of human language, involves generating novel meaning by combining existing units. Nonhuman primates (mostly apes) are known to combine gestural units in non-random ways, but they do not make novel meaning with these combinations. What could, however, be the functional roles of these gesture sequences and whether they bear any significance to language evolution is still unclear. Moreover, studies on gesture-sequences in non-ape primate species is almost non-existent. Here, we investigated for the first time, the structure and functions of gesture sequences in the naturally occurring communication of wild bonnet macaques (Macaca radiata), using analyses akin to ape gesture studies (Genty & Byrne, 2010; Hobaiter & Byrne, 2011). Bonnet macaque gesture sequences exhibit non-random combinations of gestures and non-gesture units - certain gestures are significantly more common in sequences, they associate preferentially with specific other components and certain components are more likely to appear either at the beginning or at the end of a sequence. Interplay of these sequences form distinct gestural clusters, corresponding to affiliative/play and agonistic contexts. Although, the overall functions of bonnet macaque gesture sequences remain obscure, as in apes, we found that gesture sequences were specifically used as a persistence strategy, after the initial single gestures have failed to initiate and sustain social interactions. We discuss our findings in the light of a possibility that primate gesture sequences, coordinating the flow of social interactions, may be evolutionary precursors to pragmatic gestures in human language.

animal behavior and cognition↗

Comparative Pore Structure and Dynamics for Bacterial Microcompartment Shell Protein Assemblies in Sheets or Shells

Bacterial microcompartments (BMCs) are protein-bound organelles found in some bacteria which encapsulate enzymes for enhanced catalytic activity. These compartments spatially sequester enzymes within semi-permeable shell proteins, analogous to many membrane-bound organelles. The shell proteins assemble into multimeric tiles; hexamers, trimers, and pentamers, and these tiles self-assemble into larger assemblies with icosahedral symmetry. While icosahedral shells are the predominant form in vivo, the tiles can also form nanoscale cylinders or sheets. The individual multimeric tiles feature central pores that are key to regulating transport across the protein shell. Our primary interest is to quantify pore shape changes in response to alternative component morphologies at the nanoscale. We use molecular modeling tools to develop atomically detailed models for both planar sheets of tiles and curved structures representative of the complete shells found in vivo. Subsequently, these models were animated using classical molecular dynamics simulations. From the resulting trajectories, we analyzed overall structural stability, water accessibility to individual residues, water residence time, and pore geometry for the hexameric and trimeric protein tiles from the Haliangium ochraceum model BMC shell. These exhaustive analyses suggest no substantial variation in pore structure or solvent accessibility between the flat and curved shell geometries. We additionally compare our analysis to hydroxyl radical footprinting data to serve as a check against our simulation results, highlighting specific residues where water molecules are bound for a long time. Although with little variation in morphology or water interaction, we propose that the planar and capsular morphology can be used interchangeably when studying permeability through BMC pores.

biophysics↗