Biology subjects

Sharma, C.

Publications and source records attributed to Sharma, C..

17 recordsLinked to original sources

bioRxiv2026

Development of a novel loop-mediated isothermal amplification (LAMP) assay for Balamuthia mandrillaris

Balamuthia mandrillaris is a free-living amoeba that can cause cutaneous skin lesions, systemic disease, and a severe life-threatening CNS infection, Balamuthia amoebic encephalitis (BAE), which has a high mortality rate (~92%). The current diagnostic methods for B. mandrillaris have many limitations including the long detection time, low sensitivity, and specific diagnostic tests only available in highly specialized centers. The early stage of diagnosis is important for the treatment because of how quickly BAE infection then develops. Therefore, we developed, optimized, and evaluated a novel loop-mediated isothermal amplification (LAMP) assay for the 18S rRNA gene of B. mandrillaris, which can be observed by naked eyes with phenol red. This novel diagnostic assay can detect ten different B. mandrillaris isolates with no cross-reactivity with the DNA of other free-living amoeba, protozoa, fungi, or bacteria tested. Compared with conventional PCR, our LAMP assay displayed ~10-100-fold higher sensitivity from extracted DNA, heat-treated samples, and non-treated samples, with the limit of detection (LOD) of 10 fg/L DNA, 10 trophozoite/100 L for non-treated cells, and 1 trophozoite/100 L for heat-treated cells, respectively. This method was further validated using two newly developed qPCR and dPCR methods to determine the LOD of approximately 1 copy/L. In addition, there is no tolerance for complicated matrices, that LAMP maintained efficacy in cerebrospinal fluid (CSF), urine, and blood-spiked samples. Due to the simplicity, robustness, and high sensitivity of the developed LAMP method, it will be useful for quick clinical detection and diagnosis of B. mandrillaris, particularly in non-specialized centers and resource-limited areas. Here we report the first LAMP diagnostic method for B. mandrillaris; publicly disclosed on Tuesday, November 4th, 2025 at the 20th (XX) International Meeting on the Biology and Pathogenicity of Free-Living Amoebae (FLAM 2025) at Puerto Morelos, Mexico.

microbiology↗

bioRxiv2026

The impact of lure, trap type, and Fluon application on the capture of longhorned beetles (Coleoptera: Cerambycidae) in the subtropical forests of southeastern Louisiana, USA

The expansion of global trade has increased the risk of unintentional introductions of woodboring insects outside their native ranges, which can cause considerable ecological and economic damage. Monitoring efforts for native and non-native species of woodborers rely heavily on semiochemical-baited traps. With the goal of improving detection efforts of longhorned beetles (Coleoptera: Cerambycidae) and their associates, we conducted field bioassays in loblolly pine dominated and bottomland hardwood forest ecosystems, which are representative of subtropical Louisiana. We tested the impact of attractant composition, trap design, and the application of a friction reducing compound on the capture of longhorned beetles. We compared the Synergy Multi-Trap System with and without Fluon, and the Synergy Funnel Trap II with Fluon, baited with multicomponent cerambycid lures and ethanol or ethanol alone. In total, we collected 5,303 beetles comprising 44 species. Traps baited with cerambycid lures and ethanol captured ~11X more individuals than the traps baited with ethanol. We identified novel attractants for 6 species of longhorned beetles. When Fluon was applied, both the Synergy Multi-Trap System and Funnel Trap II were equally effective at capturing cerambycids. Application of Fluon significantly increased the trap capture of the Synergy Multi-Trap System by ~4X compared to the same trap type without Fluon. Our results contribute to our understanding of the factors influencing trap captures and the chemical ecology of woodboring insects thereby helping the development of early detection and rapid response monitoring programs in subtropical regions of the United States and elsewhere.

ecology↗

bioRxiv2026

Division of Synthetic Cells Using a Genomically Encoded One-Protein Divisome

Synthetic biology is emerging as a powerful tool to understand life by building minimal synthetic cells whose functions are encoded within their genome. An essential function of cells is abscission, the final step of cell division that breaks the last connection between two emerging daughter cells. Abscission is challenging to reconstitute as it is energetically unfavorable to rearrange the cell membrane. Here, we demonstrate a minimal one-component abscission machinery for synthetic cells using the bacterial protein dynamin A (DynA), which is uniquely capable of driving scission inside membrane necks. Cell-free expression of this synthetic cell module is complicated by the large size of DynA (137 kDa) and the presence of a hydrophobic lipid-binding loop within its structure. We overcome these challenges by expressing DynA inside lipid vesicles with a high fraction of negatively charged lipids. We find that DynA enriches at the bridges of dumbbell-shaped vesicles, where it drives membrane scission and full division. The ability to monitor DynA dynamics through genomic encoding further provides hints about the mechanism of abscission including cooperative enrichment at the necks and constriction of the necks. Finally, we demonstrate that the smaller (71 kDa) dynamin D1 domain alone exerts the same function, which is beneficial for future integration with other synthetic cell modules since its much smaller gene size reduces the burden on the synthetic genome. This autonomously operating abscission machinery presents the first example of a self-dividing synthetic cell, marking an important step towards constructing a synthetic cell that is able to sustainably replicate.

synthetic biology↗

bioRxiv2026

Extracellular salicylic acid activates immune signaling through cell-surface receptors

Salicylic acid (SA) is a central immune hormone that accumulates in both intracellular and extracellular compartments during pathogen infection. While intracellular SA signaling is well established, whether extracellular SA (eSA) directly activates immune responses remains unknown. Here we show that eSA functions as an extracellular signal potentially perceived by the plasma membrane-localized lectin receptor kinases LecRK-I.8 and LecRK-VI.2 in Arabidopsis. The extracellular domains of both receptors bind SA with micromolar affinity, SA rapidly induces LecRK-I.8 phosphorylation, and the kinase activities of LecRK-I.8 and LecRK-VI.2 are required for downstream signaling. Moreover, mutagenesis of a computationally predicted binding pocket in LecRK-VI.2 abolishes SA binding and immune function, providing evidence for receptor-mediated perception. Genetic analyses further demonstrate that LecRK receptors are required for SA-induced resistance, transcriptional reprogramming, and phosphoproteomic responses. Together, these findings expand current models of SA signaling by revealing a potential receptor-mediated cell-surface perception mechanism for a classical immune hormone.

plant biology↗

bioRxiv2026

Elucidating the effect of a rationally designed nanostructured form-switching ASO (NaFASO) for targeting long non-coding RNA to alleviate Japanese encephalitis virus infection

RNA therapeutic modalities such as antisense oligonucleotides (ASOs) have emerged as promising tools to target previously "undruggable" targets. Despite their great promise as precision therapeutic agents, their clinical adoption remains limited due to production costs, sequence-length restrictions, limited structural heterogeneity, and the generation of environmentally hazardous waste during synthesis. Biocatalytic synthesis strategies provide a sustainable alternative; however, their reliance on specialized enzymes and precursors often limits sequence diversity and scalability. To address these limitations, we report the design and biocatalytic synthesis of a novel circular ASO: Nanostructured Form-switching Antisense Oligonucleotide (NaFASO) for targeting Japanese Encephalitis Virus (JEV) infection-associated host long non-coding RNA (lncRNA) JINR1 (JEV-induced non-coding RNA1) in SH-SY5Y cells. The novel modular architecture in NaFASO has been designed to have a metastable stem that separates the functional antisense domain from the splint-padlock circularizing region, ensuring both structural integrity and efficient target engagement. The serum- and nuclease-stable NaFASOs achieved knockdown of the lncRNA JINR1 during JEV infection, resulting in a reduction in JEV replication and neuronal cell death. NaFASO-mediated JINR1 depletion also resulted in downregulation of the JEV replication-associated gene GRP78. Together, these findings establish NaFASO as a first-of-its-kind structure-switching circular ASO platform for combating JEV infection, combining stability, efficacy, and environmental sustainability. Beyond the JEV, the generalizability of this design suggests broad applicability for targeting diverse RNA species implicated in genetic disorders, viral infections, and cancer, thus highlighting a promising paradigm for developing next-generation transformational nucleic acid therapeutics.

biochemistry↗

bioRxiv2026

Targeting lncRNA JINR1 with programmable Circular Active Nano DNAzyme (CANDe) suppresses Japanese Encephalitis Virus infection

Oligonucleotide therapeutics such as antisense oligonucleotides (ASOs) and small interfering RNAs (siRNAs) enable sequence-specific gene silencing but rely on endogenous cellular machinery and often require extensive chemical modification for stability and efficacy. DNAzymes offer a mechanistically distinct alternative through intrinsic catalytic RNA cleavage; however, their therapeutic translation has been limited by nuclease susceptibility, structural constraints, and synthetic challenges. Here, we report the development of Circular Active Nano DNAzyme (CANDe), an enzymatically synthesized circular DNAzyme platform designed to enhance stability without backbone modification. The therapeutic potential of CANDe constructs was investigated against Japanese Encephalitis Virus (JEV) infection associated host long-noncoding RNA JINR1 (LINC01518). CANDe constructs were generated via splint-assisted ligation and incorporate modular elements, including catalytic cores (8-17 or 10-23), target-binding arms, and structural stems. Circularization conferred marked resistance to exonuclease-mediated degradation compared to linear DNA, maintaining structural integrity under nuclease-rich conditions.,CANDe targeting the lncRNA JINR1 achieved effective JINR1 knockdown in SHSY-5Y with and without JEV infection. This was accompanied by reduced expression JEV RNA and titers. In line with this, CANDe constructs attenuated of virus-induced cytotoxicity and apoptosis. Among the constructs, 10-23-based CANDe targeting the JINR1-1 site exhibited the strongest overall activity. These findings establish CANDe as a modular, modification-free DNAzyme platform that combines catalytic efficiency with enhanced stability, enabling effective host-directed antiviral intervention. This approach highlights topological engineering as a viable alternative to chemical modification for advancing DNAzyme-based therapeutics.

biochemistry↗

bioRxiv2025

Cholesterol-mediated activation of VapC12 toxin modulates growth and drug susceptibility in Mycobacterium tuberculosis

Tuberculosis eradication efforts are severely hampered by antimicrobial resistance (AMR). We have previously reported that VapBC12 TA system in Mycobacterium tuberculosis (M. tuberculosis) regulates both disease and antibiotic persistence in tuberculosis. In this study, we developed a mechanistic understanding of the VapBC12-dependent modulation of growth and antibiotic susceptibility in M. tuberculosis. We identified a unique Cholesterol Recognition Amino acid Consensus (CRAC) motif in VapC12 toxin and demonstrated that its heterologous expression induces toxicity in M. smegmatis. We have solved the crystal structure of VapB12 antitoxin at a 1.6A0 wavelength and using molecular modeling predicted the structure of TA complex. Structure-function analysis revealed specific residues critical for the assembly and activity of the VapBC12 TA system. Our study suggests that cholesterol activates the VapC12 toxin by competitively displacing its cognate antitoxin at the CRAC motif which consequently restricts the growth of M. tuberculosis. Finally, we demonstrated that chemical inhibition of VapC12 prevents growth restriction and potentiates activity of anti-TB drugs.

microbiology↗

bioRxiv2025

An optimised system for rapid auxin-inducible protein degradation in budding yeast

The auxin system for inducible protein degradation is a powerful tool to investigate protein function. It consists of a degron fused to a target protein, an auxin-related ligand that binds to the degron, and a receptor that recognises the auxin-bound degron and mediates proteasomal degradation of the target protein. Variants of all system components are available, and we here test three degrons, three auxins and three degron receptors to identify optimal combinations of these variants in budding yeast. We show that the degrons mIAA7 or AID* together with adamantyl-auxin and the degron receptor OsTIR1(F74G) allow particularly rapid and extensive degradation. Basal degradation in the absence of auxin is generally low and can be prevented entirely by inducible expression of OsTIR1(F74G). Finally, we demonstrate that the remarkable efficiency of this system makes it competitive with established chemical inhibitors, such as tunicamycin and MG132, and with temperature-sensitive mutant alleles. These findings will aid the effective application of the auxin system.

cell biology↗

bioRxiv2025

ATP-Powered Signaling between Synthetic and Living Cells

ATP is the energy currency of life and overabundant in the tumor microenvironment, where it has been suggested as a target for cancer therapy. We introduce ATP-dissipative delivery of DNA signals from synthetic cells to living cells by exploiting an ATP-driven reaction network that transiently ejects DNA Signal strands from the shielded synthetic cell interior to the extracellular medium of living cells. We customize the Signal for intracellular uptake or for extracellular instruction using a cytokine-ssDNA chimera that can trigger efficient intracellular downstream signaling programs. Our study discusses details of system design on a timer circuit and synthetic cell level, system integration challenges, and how ATP concentrations regulate the transient delivery. The strategy can be extended to deliver therapeutic oligonucleotides for applications in gene therapy and gene silencing. For cancer therapy, it can use naturally enhanced ATP levels to induce selective delivery of therapeutic oligonucleotides.

synthetic biology↗

bioRxiv2024

ecPath detects ecDNA in tumors from histopathology images

Circular extrachromosomal DNA (ecDNA) can drive tumor initiation, progression and resistance in some of the most aggressive cancers and is emerging as a promising anti-cancer target. However, detection currently requires costly whole-genome sequencing (WGS) or labor-intensive cytogenetic or FISH imaging, limiting its application in routine clinical diagnosis. To overcome this, we developed ecPath (ecDNA from histopathology), a computational method for predicting ecDNA status from routinely available hematoxylin and eosin (H&E) images. ecPath implements a deep-learning method we call transcriptomics-guided learning, which utilizes both transcriptomics and H&E images during the training phase to enable successful ecDNA prediction from H&E images alone, a task not achievable with models trained on H&E images only. It is trained on more than 6,000 tumor whole-slide images from the TCGA cohort with the best performance in predicting ecDNA status in brain and stomach tumors (average AUC=0.78). ecPath revealed that ecDNA-positive tumors are enriched with pleomorphic, larger and high-density nuclei. Testing in an independent cohort, ecPath predicted ecDNA status of 985 pediatric brain tumor patients with an AUC of 0.72. Finally, we applied ecPath to identify ecDNA-positive tumors in the TCGA cohort for which no WGS data were available. Like WGS-based ecDNA-positive labels, the predicted ecDNA-positive status also identify poor prognoses for low grade glioma patients. These results demonstrate that ecPath enables the detection of ecDNA from routinely available H&E imaging alone and help nominate aggressive tumors with ecDNA to study and target it.

pathology↗

bioRxiv2024

An anomalous 3'-terminal phosphorothioated mismatch bypass activity and its application as a binary molecular switch

Phosphorothioated (PST) oligonucleotides are increasingly being used in RNA silencing, antisense, and biosensing applications. However, the possibilities and consequences of their desultory interactions with other possible nucleic acids and DNA polymerases inside the cell remain inadequately characterized. In this study, we report the discovery of an unusual terminal mismatch bypass activity involving 3'-PST containing DNA primers and certain strand displacement DNA polymerases. Using rolling circle DNA amplification, we have identified that strand displacement DNA polymerases such as phi29 and BST large fragment (LF) can bypass 3'-terminal PST mismatches upto 1 - 20 nt length. Next, we explore the length and sequence dependence of this unusual attribute, incubation in near-ambient and 60 - 65{degrees}C temperatures, and measures to blockade or modulate this mismatch bypass activity to create a binary fully nucleic acid-based and non-photocontrolled molecular switch (the first of its kind). After proposing possible underlying mechanisms for this activity, we discuss its potential consequences and applications.

biochemistry↗

bioRxiv2024

Dark respiration modulates photosynthetic carbon yield in cyanobacteria

Cyanobacteria contribute to roughly a quarter of global net carbon fixation. During diel light/dark growth, dark respiration significantly lowers the overall photosynthetic carbon yield in cyanobacteria and other phototrophs. Currently, it is unclear how respiratory pathways participate in allocating carbon resources at night to optimize dark survival and support daytime photosynthesis. Here we show in the cyanobacterium Synechococcus elongatus PCC 7942 that phosphoketolase is orchestrated in an integrative respiratory network in the dark to best allocate carbon resource for amino acid synthesis and prepare for photosynthesis reinitiation upon photoinduction. We further show that the respiratory Entner-Doudoroff (ED) pathway in S. elongatus is incomplete, with its key enzyme 2-keto-3-deoxy-6-phosphogluconate (KDPG) aldolase serving to modulate daytime photosynthesis through an alternative oxaloacetate decarboxylation activity. This activity allows for the bypassing of the tricarboxylic acid (TCA) cycle when ATP/NADPH consumption for biosynthesis is excessive and imbalanced relative to their production by light reactions, thereby preventing relative NADPH accumulation and ensuring optimal photosynthetic carbon yield. Optimizing these metabolic processes offers new opportunities to enhance photosynthetic carbon yield in cyanobacteria and other photosynthetic organisms under diel light/dark cycles.

biochemistry↗

bioRxiv2023

MtbEis protein: A new player in stringent response of Mycobacterium tuberculosis

The stringent response in bacteria is an important defense mechanism in which hyperphosphorylated forms of guanosine, also known as molecular alarmones, are synthesized by RelA/SpoT Homolog (RSH) proteins. Rel protein in Mycobacterium tuberculosis (RelMtb) also regulates expression of persistence or virulence associated genes. Loss of RelMtb leads to higher expression of few of the virulence and cell wall remodeling factors in addition to upregulating many secreted antigens and proteins. The Enhanced Intracellular Survival (MtbEis) protein is one of the upregulated virulence factors. Based on this information, the precise role of MtbEis, a GNAT family acetyltransferase, in the stringent response in M. tuberculosis was explored. To begin with, MtbEis has been confirmed to enhance the guanosine pentaphosphate (pppGpp) synthesis activity of RelMtb by acetylating RelMtb at K513. Next, the MtbEis gene was knocked out in Mtb. The deletion of MtbEis resulted in a compromised survival accompanied by elevated levels of rRNAs under starvation conditions. Furthermore, the reduced expression of RelMtb and subsequent decrease in pppGpp synthesis was also observed in Mtb{Delta}Eis cells. Complementation of Mtb{Delta}Eis with full length MtbEis restored the expression of RelMtb, rRNAs, pppGpp levels and survival of M. tuberculosis. However, MtbEis lacking acetyltransferase domain ({Delta}AT) failed to restore this, confirming the role of MtbEis mediated acetylation in regulating stringent response. In sum, our findings not only report the unexplored role of MtbEis in the starvation survival but also the acetylation of RelMtb as a novel mechanistic aspect of stringent response in M. tuberculosis. In addition, this being the first post translational modification (PTM) report on any of the bacterial Rel proteins opens up the field for the discovery of new PTMs of Rel proteins. Author SummaryStringent Response is essential for bacterial survival and pathogenesis under stress conditions. The bifunctional RelMtb enzyme is the key player of stringent response in M. tuberculosis catalyzing the synthesis of pppGpp from ATP and GTP under nutrient deprived conditions. Under stringent conditions, the tight regulation of transcriptional and translational processes aids the intracellular survival of Mtb. Amongst the translational regulations, the post-translational modification (PTM) is one of the most efficient mechanisms regulating the functions of enzymes. None of the PTMs of Rel proteins is known so far. Here, we have not only identified the acetylation of RelMtb by MtbEis but also dissected the consequences of this modification in regulation of stringent response. MtbEis is a known virulence factor belonging to GNAT family acetyltransferase that is upregulated upon stringent response activation in Mtb. The MtbEis regulates expression of rRNAs and RelMtb, synthesis of pppGpp and Mtb survival by acetylating RelMtb under starvation conditions. The regulation of stringent response by MtbEis mediated acetylation of RelMtb have unravelled the novel function of MtbEis in adapting Mtb to existing environmental challenges associated with nutrient deficit state. HighlightsO_LINone of the PTMs of Rel proteins is known so far C_LIO_LIMtbEis interacts with RelMtb and acetylates RelMtb at K513 C_LIO_LIThe acetyltransferase domain of MtbEis regulates rRNAs and RelMtb expression, pppGpp synthesis and Mtb survival under starved conditions C_LIO_LIMtbEis helps Mtb in adapting to nutrient deficit state C_LI

microbiology↗

bioRxiv2022

Inferring Spatially Resolved Transcriptomics Data from Whole Slide Images for the Assessment of Colorectal Tumor Metastasis: A Feasibility Study

Over 150,000 Americans are diagnosed with colorectal cancer (CRC) every year, and annually over 50,000 individuals will die from CRC, necessitating improvements in screening, prognostication, disease management, and therapeutic options. Tumor metastasis is the primary factor related to the risk of recurrence and mortality. Yet, screening for nodal and distant metastasis is costly, and invasive and incomplete resection may hamper adequate assessment. Signatures of the tumor-immune microenvironment (TIME) at the primary site can provide valuable insights into the aggressiveness of the tumor and the effectiveness of various treatment options. Spatially-resolved transcriptomics technologies offer an unprecedented characterization of TIME through high multiplexing, yet their scope is constrained by cost. Meanwhile, it has long been suspected that histological, cytological and macroarchitectural tissue characteristics correlate well with molecular information (e.g., gene expression). Thus, a method for predicting transcriptomics data through inference of RNA patterns from whole slide images (WSI) is a key step in studying metastasis at scale. In this work, we collected and preprocessed Visium spatial transcriptomics data (17,943 genes at up to 5,000 spots per patient sampled in a honeycomb pattern) from tissue across four stage-III matched colorectal cancer patients. We compare and prototype several convolutional, Transformer, and graph convolutional neural networks to predict spatial RNA patterns under the hypothesis that the transformer and graph-based approaches better capture relevant spatial tissue architecture. We further analyzed the models ability to recapitulate spatial autocorrelation statistics using SPARK and SpatialDE. Overall, results indicate that the transformer and graph-based approaches were unable to outperform the convolutional neural network architecture, though they exhibited optimal performance for relevant disease-associated genes. Initial findings suggest that different neural networks that operate on different scales are relevant for capturing distinct disease pathways (e.g., epithelial to mesenchymal transition). We add further evidence that deep learning models can accurately predict gene expression in whole slide images and comment on understudied factors which may increase its external applicability (e.g., tissue context). Our preliminary work will motivate further investigation of inference for molecular patterns from whole slide images as metastasis predictors and in other applications.

pathology↗

bioRxiv2022

Graph neural networks ameliorate potential impacts of imprecise large-scale autonomous immunofluorescence labeling of immune cells on whole slide images

The characteristics of tumor-infiltrating lymphocytes (TIL) are essential in cancer prognostication and treatment through the ability to indicate the tumors capacity to evade the immune system (e.g., as evidenced by nodal involvement). Machine learning technologies have demonstrated remarkable success for localizing TILs, though these methods require extensive curation of manual annotations or restaining procedures that can degrade tissue quality, resulting in imprecise annotation. In this study, we co-registered tissue slides stained for both hematoxylin and eosin (H&E) and immunofluorescence (IF) as means to rapidly perform large-scale annotation of nuclei. We integrated the following approaches to improve the prediction of TILs: 1) minimized tissue degradation on same-section tissue restaining, 2) developed a scoring algorithm to improve the selection of patches for machine learning modeling and 3) utilized a graph neural network deep learning approach to identify relevant contextual features for lymphocyte prediction. Our graph neural network approach accounts for surrounding contextual micro/macro-architecture tissue features to facilitate interpretation of registered IF. The graph neural network compares favorably (F1-score=0.9235, AUROC=0.9462) to two alternative modeling approaches. This study brings insight to the importance of contextual information leveraged from within and around neighboring cells in a nuclei classification workflow, as well as elucidate approaches which enable the rapid generation of large-scale annotations of lymphocytes for machine learning approaches for immune phenotyping. Such approaches can help further interrogate the spatial biology of colorectal cancer tumors and tumor metastasis.

pathology↗

bioRxiv2019

Host cholesterol dependent activation of VapC12 toxin enriches persister population during Mycobacterium tuberculosis infection

A worldwide increase in the frequency of multidrug-resistant and extensively drug-resistant cases of tuberculosis is mainly due to therapeutic noncompliance associated with a lengthy treatment regimen. Depending on the drug susceptibility profile, the treatment duration can extend from 6 months to 2 years. This protracted regimen is attributed to a supposedly non-replicating and metabolically inert subset of the Mycobacterium tuberculosis (Mtb) population, called persisters. The mechanism underlying stochastic generation and enrichment of persisters is not fully known. We have previously reported that the utilization of host cholesterol is essential for mycobacterial persistence. In this study, we have demonstrated that cholesterol-induced activation of a ribonuclease toxin (VapC12) inhibits translation by targeting proT tRNA in Mtb. This results in cholesterol-specific growth modulation that increases the frequency of the generation of persisters in a heterogeneous Mtb population. Also, a null mutant strain of this toxin ({Delta}vapC12) failed to persist and demonstrated an enhanced growth phenotype in a guinea pig model of Mtb infection. Thus, we have identified a novel strategy through which cholesterol-specific activation of a toxin-antitoxin (TA) module in Mtb enhances persister formation during infection. In addition to identifying the mechanism, the study provides opportunity for targeting persisters, a new paradigm facilitating tuberculosis drug development.

microbiology↗

bioRxiv2018

Neutralization of a Distributed Coulombic Switch Precisely Tunes Reflectin Assembly

Reflectin proteins are widely distributed in reflective structures in cephalopods, but only in Loliginid squids are they and the sub-wavelength photonic structures they control dynamically tunable, driving changes in skin color for camouflage and communication. The reflectins are block copolymers with repeated canonical domains interspersed with cationic linkers. Neurotransmitter-activated signal transduction culminates in catalytic phosphorylation of the tunable reflectins cationic linkers, with the resulting charge-neutralization overcoming Coulombic repulsion to progressively allow condensation and concommitant assembly to form multimeric spheres of tunable size. Structural transitions of reflectins A1 and A2 were analyzed by dynamic light scattering, transmission electron microscopy, solution small angle x-ray scattering, circular dichroism, atomic force microscopy, and fluorimetry. We analyzed the assembly behavior of phospho-mimetic, deletion, and other mutants in conjunction with pH-titration as an in vitro surrogate of phosphorylation to discover a predictive relationship between the extent of neutralization of the proteins net charge density and the size of resulting multimeric protein assemblies of narrow polydispersity. Comparison of mutants shows this sensitivity to neutralization resides in the linkers and is spatially distributed along the protein. These results are consistent with the behavior of a charge-stabilized colloidal system, while imaging of large particles, and analysis of sequence composition, suggest that assembly may proceed through a transient liquid-liquid phase separated intermediate. These results offer insights into the basis of reflectin-based tunable biophotonics and open new paths for the design of new reflectin mutants with tunable properties.

molecular biology↗