Biology subjects

Deshpande, S.

Publications and source records attributed to Deshpande, S..

At least 19 recordsLinked to original sources

bioRxiv2026

Modeling Paralinguistic Features for Speech Neuroprostheses: A Systematic Review

Recent advances in brain-computer interface (BCI) technology have brought speech neuroprostheses closer to restoring naturalistic communication for individuals with severe motor or speech impairments. Although current systems can decode phonemic and lexical information from cortical activity, they often fail to capture paralinguistic dimensions such as intonation, prosody, loudness, and affect that are essential for conveying emotion and intent. This review synthesizes emerging research on modeling and incorporating paralinguistic features into speech neuroprosthetic design. Foundational studies have mapped the cortical organization of speech production, identifying articulatory somatotopy within the sensorimotor cortex and functional subdivisions across planning, phonological, and semantic representations. More recent work has characterized expressive encoding within the ventral precentral and supplementary motor areas, while peripheral and multimodal sensing approaches have demonstrated promising accuracy in decoding emotional states. Collectively, these findings signal a shift toward closed-loop neuroprosthetic systems that integrate affective modulation with linguistic decoding, enabling restoration of speech that is not only intelligible but expressively human. Keywords: Speech neuroprosthesis, paralinguistics, BCI, naturalistic communication

neuroscience↗

bioRxiv2026

Surface-stabilized sub-micron condensates for compartmentalizing synthetic cells and enhanced enzyme kinetics

Living cells harbor numerous membraneless organelles (MOs), which are dynamic protein/nucleic acid assemblies responding to specific physicochemical triggers. Liquid-liquid phase separation (LLPS) plays a crucial role in their formation and activity. Inspired by the natural MOs that maintain their individual identities, this work presents a bioengineering strategy to generate LLPS-driven, isochemical MO populations using surfactant-like peptides that stabilize the MO interface. The result is highly stable, monodispersed, sub-{micro}m-sized MO populations, which are not only capable of compartmentalizing synthetic cells but also provide superior environments for enzymatic reactions. This is achieved using pH-responsive elastin-like polypeptides (PREs) as MOs and formulating an amphiphilic PRE-based peptide to stabilize the MO interface. Relative abundance of the surface-active peptide, as well as the rate of pH change, allows direct control over the MO size. Encapsulating these components within synthetic vesicles using a microfluidic platform leads to on-demand multi-compartmentalization via an external pH trigger. Lastly, a functional consequence of the acute size control is shown through a phosphatase reaction, where the highest reaction rate is observed in size-controlled MOs when compared to dilute environments and surfactant-free MOs. The presented strategy provides a new avenue for designing programmable MOs and thus achieve functional compartmentalization within synthetic cells.

bioengineering↗

bioRxiv2026

SMART-NeuroDx: A Reagent-Free Multianalyte Biosensor Platform with Machine-Learning Readout for Point-of-Care Dementia Screening

Differentiating overlapping dementia pathologies, such as frontotemporal dementia and Alzheimers disease, calls for the simultaneous measurement of several blood biomarkers, yet electrochemical sensors remain predominantly single-target and dependent on labels and sample preparation. Here we report SMART-NeuroDx, a reagent-free electrochemical array that quantifies pTau217, GFAP, pTau181, and NfL directly from unprocessed plasma and serum in under 35 minutes. Four surface-confined redox-active molecularly imprinted polymer and aptamer-MIP recognition matrices are electropolymerized onto a four-working-electrode porous-gold printed-circuit array, using potential-assisted electrostatic gating keyed to each targets isoelectric point to prevent cross-channel template contamination during synthesis. Label-free Faradaic responses from the redox-active polymer backbone are acquired on a custom battery-powered STM32G4 handheld potentiostat and converted to concentration from five voltammetric features using cross-validated Random Forest and XGBoost regressors. The handheld unit reproduced the baseline fidelity of a commercial benchtop workstation and resolved sub-picogram pTau217 (limit of detection 0.087 pg mL-{superscript 1}) across marker-appropriate dynamic ranges, with inter-chip relative standard deviation at or below 5.34% and coefficients of determination of 0.94 to 0.99 against reference concentrations. Each channel retained selectivity in plasma and serum against competing neurological and inflammatory proteins, with non-specific signal deviation held below 10% by the hydrated PyPEG interfacial shell. The platform establishes reagent-free, simultaneous four-analyte neurodegeneration sensing on a single point-of-care device.

bioengineering↗

bioRxiv2026

A human monoclonal antibody from hybrid immunity exhibits exceptional neutralization breadth against antigenically divergent contemporary Omicron JN.1 lineage variants

Hybrid immunity offers stronger and more durable antibody-mediated protection against symptomatic SARS-CoV-2 infection. In the present study, we report the development of a durable antibody response in an individual with hybrid immunity who also received three doses of the prototype COVID-19 vaccine. Polyclonal plasma antibody obtained from this donor also showed extraordinary neutralization breadth against contemporary Omicron variants. One of the functional monoclonal antibodies (ATHS-C30) isolated from this individual, representing the IGHV4-30 lineage-specific B cell with strong binding affinity to JN.1 spike protein, showed extraordinary neutralization breadth, including variants of Omicron lineages that emerged beyond JN.1, such as KP.2, KP.3.1.1, KP.3.2, KP.3.3, LB.1 and XEC. ATHS-C30 was found to bind RBD with high affinity and showed distinct epitope specificity to the other neutralizing mAbs isolated from the same donor through the epitope binning assay. Molecular modelling of the CDHR3 sequence using existing structures indicated that ATHSC-30 belongs to the class 4 antibody, a feature that contributes to breadth, while epitope conservation analysis indicated that the majority of RBD-interacting residues of ATHSC-30 are evolutionarily conserved. Taken together, our study indicate that ATHS-C30 forms the basis of development of a robust and broadly neutralizing antibody response in this individual with hybrid immunity, which overcomes the antigenic variation by targeting highly conserved and cryptic epitopes in destabilizing the spike structure. ImportanceSARS-CoV-2 continues to pose a significant public health threat, particularly to immunocompromised individuals and older adults with underlying comorbidities. Hybrid immunity to SARS-CoV-2 in vaccinated individuals leads to the development of B cells that are qualitatively superior to those that are expected to develop in only vaccinated individuals. In the present study, we found that among individuals with hybrid immunity who developed robust, durable antigen-specific antibody responses, one developed antibody response capable of broadly cross-neutralising contemporary Omicron variants. This was correlated with development of antigen-specific B cell lineage, such as IGHV4-30, that produced antibodies with potent and extraordinary neutralisation breadth against contemporary Omicron lineages, such as KP.2, KP.3.1.1, KP.3.2, KP.3.3, LB.1 and XEC. This is believed to be due to heterologous antigen exposures driving the development of an antigen-specific B cell repertoire that, in turn, facilitates immune imprinting capable of overcoming the ineffectiveness of antibodies to effectively neutralize newly emerging Omicron variants.

immunology↗

bioRxiv2026

Hornbill abundance and habitat correlates in Kali Tiger Reserve, Western Ghats, India-Insights from collaborative monitoring

1.The future of species, particularly large-bodied birds, under climate threats, is increasingly unclear. Protected areas (PAs) can mitigate the impacts of global change, but are not completely immune. This makes it imperative to monitor populations even inside PAs. In the forests of the Western Ghats, three hornbill species are found--Malabar Grey Hornbill, Malabar Pied Hornbill and Great Hornbill. Kali Tiger Reserve, of Karnataka state, India, is known for its healthy hornbill populations, yet few systematic surveys have attempted to estimate their abundance, distributions and habitat affiliations. In this study, we documented the distributions of the three hornbills, estimated the density of Malabar Grey Hornbills and assessed correlates of hornbill encounter rates within the reserve. Malabar Grey Hornbills were the most abundant and widely distributed, found in all ranges of the reserve. Gund, Kadra and Phansoli had the most detections of Malabar Pied and Great Hornbills. Encounter rates of Malabar Grey Hornbill were positively correlated with food-tree stem density, those of Malabar Pied Hornbill negatively correlated with basal area, while those of Great Hornbill not significantly associated with any variable. Malabar Grey Hornbills had a density of 5.1 per km2 (mean flock size = 1.2). While encounter rates of Malabar Pied and Great Hornbills were low, these numbers track the breeding season, when vocal activity is low and females are inside nests. This survey represents a partnership between researchers and the Karnataka forest department, aimed towards inculcating the collaborative spirit of research and monitoring.

ecology↗

bioRxiv2026

Ribosome Processing Factor-2 Interacts with RPL10A to Regulate Selective Translation during Plant Immunity and Drought Stress

Processing of ribosomal RNA (rRNA) is essential for ribosome biogenesis, translation, plant development, and stress adaptation. Ribosome processing factor-2 (RPF2), which plays a role in the later stages of rRNA maturation, interacts with ribosomal protein L10A (RPL10A). RPF2 overexpression in Arabidopsis and Nicotiana benthamiana showed enhanced plant growth and trichome development due to increased gibberellic acid (GA) levels. Conversely, RPF2-silenced and mutant plants had a dwarf phenotype, reduced stomatal apertures, and decreased glucosinolate accumulation. RPF2 silenced and mutant plants also showed compromised nonhost disease resistance, whereas RPF2 overexpression lines exhibited enhanced disease resistance to both host and nonhost pathogens. RPL10A and RPF2 overexpression lines were sensitive to abscisic acid (ABA) and tolerant to drought, which is attributed to their unique roles in translation regulation. Despite having larger stomatal apertures, RPF2 overexpression plants displayed low pathogen multiplication rates and reduced water loss, indicating independent resistance mechanisms associated with ribosomal functions in translation regulation. Although both RPL10A and RPF2 proteins interact with each other and are involved in translation regulation, proteomic analysis suggests that they regulate the translation of distinct sets of genes during pathogen or drought stress. These findings indicate that RPF2 and RPL10A play independent roles in the regulation of unique protein translation.

plant biology↗

bioRxiv2025

On the stabilization of plant lipid droplets: Dynamic interplay between oleosins and phospholipids

As the central organelles of lipid and energy homeostasis in plant seeds, lipid droplets (LDs) consist of a neutral lipid core, decorated by phospholipids (prominently phosphatidylcholines, PCs) and surfactant-like proteins (mostly oleosins, OLs). So far, the dynamic interplay between PCs and OLs at the LD interface remains unclear. The presented work addresses this knowledge gap by reconstituting oil-in-water emulsions stabilized by OLs and PCs using microfluidic systems. Our results show that the resistance to droplet coalescence is primarily provided by OLs. We further reveal that the addition of PCs alters the assembly of OLs at the interface, reducing the OL network density and interfacial elasticity, thereby rendering a weaker interface. In conclusion, our study suggests complementary roles, with OLs acting as the primary stabilizers while PCs playing a destabilizing role. This contrast likely contributes to the observed metastability of LDs and can be exploited to design stimuli-responsive emulsions. HIGHLIGHTSO_LIOleosins form an interfacial network that stabilizes the oil-water interface. C_LIO_LIPhosphatidylcholines globally weaken the oleosin network and promote droplet coalescence. C_LIO_LIMicrofluidics enables controlled reconstitution and real-time analysis of lipid droplets. C_LIO_LIOleosin-phospholipid interplay explains lipid droplet metastability and can guide the design of bio-inspired emulsions. C_LI

biophysics↗

bioRxiv2025

Intrinsically Disordered Protein Coating for Oral Delivery of Peptide Drugs

AbstractAdvancing oral delivery of peptide therapeutics requires innovative materials that overcome gastrointestinal barriers. We introduce the first engineered synthetic intrinsically disordered protein (SynIDP) that self-assembles into an enteric coating, encapsulating peptide drugs to enhance gastric acid resistance and intestinal targeting. This SynIDP recapitulates the molecular design principles and phase transitions of native IDPs to exhibit temperature-controlled condensation and pH-controlled solidification--both transitions being reversible and precisely tuned to intestinal cues. Through detailed analysis of the kinetics of the liquid-to-solid phase transition, we achieve control over the nano-to-microscale morphology of the protein coating, optimizing drug encapsulation and protection. The coating protects peptide-based weight loss drugs for over 60 minutes in simulated gastric conditions, then dissolves to release the active compound. Oral delivery to obese mice results in more consistent weight loss compared to the unencapsulated drug. This modular protein-based coating is a promising platform technology for enhancing oral peptide drug delivery and improving patient compliance.

bioengineering↗

bioRxiv2025

Deep learning the dynamic regulatory sequence code of cardiac organoid differentiation

Defining temporal gene regulatory programs driving human organogenesis is essential for understanding congenital defects. We combined a time-resolved, single-cell multi-omic atlas of human induced pluripotent stem cell-derived cardiac organoids with deep learning models of chromatin accessibility, enabling systematic discovery of cis-regulatory syntax underlying heart development and disease. This framework identified cell-state-specific motif syntax, linked motif instances to candidate target genes, and resolved programs governing lineage divergence. Integrating cell-state-resolved molecular profiles with computationally predicted variant effects from congenital heart disease (CHD) cases enabled the prioritization of noncoding variants predicted to disrupt developmental transitions, supporting the paradigm that disease etiology derives from perturbations to regulatory networks governing cardiogenesis. Experimental validation demonstrated that an intronic ANGPTL2 variant altered differentiation outcomes, implicating ANGPTL2 in CHD. This study bridges developmental regulation with disease genetics, establishing a framework for discovering the genetic and molecular basis of congenital disorders.

genetics↗

bioRxiv2025

Condensate-based shells and scaffolds via interfacial liquid-to-solid transition of disordered peptides

Living organisms use biomolecular condensates to respond to dynamic environments and create functional materials with complex architectures. Exploring such phase-separated systems beyond the naturally occurring scenarios may offer valuable insights for emergent synthetic biosystems. Here, we report the self-assembly behavior of a short, disordered peptide sequence (termed CT45) derived from a protein present in the bioad-hesive system of tick ectoparasites. We show that CT45 spontaneously accumulates at polar-nonpolar interfaces, and further undergoes liquid-liquid and liquid-to-solid phase transitions to create mechanically stable structures. When encapsulated within vesicles and presented with a stable oil-water interface, CT45 rapidly forms solid shells, which can be reinforced by up-concentrating the material through osmotic imbalance. Unex-pectedly, when presented with a transient acetone-water interface, CT45 condenses at the evaporating interface and forms interconnected, porous mesoscopic scaffolds. The underlying mechanism is found to be the amphiphilic nature of CT45 leading to in-terfacial accumulation, enhancing intermolecular{pi} -based interactions to trigger phase transitions. The micron-sized shells exhibit appreciable mechanical strength and the porous scaffolds present a highly stable platform capable of retaining molecules. In conclusion, the presented condensate-based microscopic and mesoscopic scaffolds hold significance in customizable condensate architectures, with potential applications in biomedical engineering and synthetic biology.

bioengineering↗

bioRxiv2025

Identification of a broad and potent V3 glycan site bNAb targeting anN332gp120 glycan-independent epitope

Broadly neutralizing antibodies (bNAbs) against HIV-1 can suppress viremia in vivo and inform vaccine development. Here, we characterized 007, a V3 glycan site bNAb exhibiting high levels of antiviral activity against multiclade pseudovirus panels1-3 (GeoMean IC50 = 0.012 {micro}g/mL, breadth = 69%, 217 virus strains) by targeting a N332gp120 glycan-independent V3 epitope, a site of Env vulnerability to which only weakly neutralizing antibodies had previously been identified. Functional analyses demonstrated distinct binding and neutralization profiles compared to classical V3 glycan site bNAbs. A 007 Fab-Env cryo-EM structure revealed contacts with the V3 324GD/NIR327 motif and interactions with N156gp120 and N301gp120 glycans. In contrast to classical V3 bNAbs, 007 binding to Env does not depend on the N332gp120 glycan, rendering it resistant to common escape mutations. Structures of 007 IgG-Env trimer complexes showed two Env trimers crosslinked by three bivalent IgGs, and bivalent 007 IgG was up to [~]300-fold more potent than monovalent 007 IgG heterodimer, suggesting a role for avidity in potent neutralization. Finally, in HIV-1ADA-infected humanized mice, 007 caused transient decline of viremia and overcame classical V3 escape mutations, highlighting 007s potential for HIV-1 prevention, therapy, functional cure, and vaccine design.

immunology↗

bioRxiv2025

Profiling a large HIV-1 elite neutralizer cohort reveals remarkable CD4bs bNAb for HIV-1 prevention and therapy

Administration of HIV-1 neutralizing antibodies can suppress viremia and prevent infection in vivo. However, clinical use is challenged by broad envelope sequence diversity and rapid emergence of viral escape1-9. Here, we performed single B cell profiling of 32 top HIV-1 elite neutralizers to identify broadly neutralizing antibodies (bNAbs) with highest potency and breadth for clinical application. From 831 expressed monoclonal antibodies, we identified 04_A06, a new VH1-2-encoded CD4 binding site bNAb with remarkable breadth and potency against extended multiclade pseudovirus panels (GeoMean IC50 = 0.059 {micro}g/ml, breadth = 98.5%, 332 virus strains). Moreover, 04_A06 was not susceptible to classic viral CD4bs escape variants and maintained full viral suppression in HIV-1-infected humanized mice. Structural analyses revealed that antiviral activity is mediated by an unusually long 11-amino acid heavy chain insertion. This insertion facilitates inter-protomer contacts and interactions with highly conserved residues on the adjacent gp120 protomer. Finally, 04_A06 demonstrated high activity against contemporaneously circulating viruses from the Antibody Mediated Prevention (AMP) trials (GeoMean IC50 = 0.082 {micro}g/ml, breadth = 98.4%, 191 virus strains) and in silico modeling for 04_A06LS predicted HIV-1 prevention efficacy of >93%. Thus, 04_A06 will provide unique opportunities for effective treatment and prevention strategies of HIV-1 infection.

immunology↗

bioRxiv2025

Developing future resilience from signatures of adaptation across the sorghum pangenome

While the green revolution adapted a handful of crops to homogenous and high-input industrialized agriculture, much of the global population still relies on local food production from low-input smallholder farms that grow highly variable crop cultivars. The high diversity of the grain and bioenergy crop sorghum 1-4, and many other crops that were not homogenized during the green revolution 5, not only provides the raw materials for breeders to make substantial gains in cultivar improvement, but also constrains breeding efforts due to highly specialized locally adapted plant phenotypes 6. Here, we construct a 33-member pangenome and identify trait-associated variants in 1,988 cultivars and landraces. We then apply these resources to explore the complex interplay between historical contingency, ongoing adaptation, and the potential for future gains through climate-aware genome-enabled breeding. Specifically, our analyses conclusively demonstrate that multiple nested, deeply diverged, and previously uncharacterized structural variants in the domestication gene SHATTERING1 distinguish the previously established multicentric origin of sorghum. We then apply landscape genomics tests to reveal how gene flow, adaptation, and secondary contact created the complex genetic mosaic in current global breeding networks. Further analysis of climate-gene associations highlights candidate loci underlying adaptation, including the biosynthetic gene cluster for the cyanogenic glucoside dhurrin. Combined, the pangenome-informed variants developed here will enable both trait discovery and subsequent marker assays to accelerate breeding and provide a framework for similar applications in other diverse and non-model crops.

genomics↗

bioRxiv2025

Mapping the regulatory effects of common and rare non-coding variants across cellular and developmental contexts in the brain and heart

Whole genome sequencing has identified over a billion non-coding variants in humans, while GWAS has revealed the non-coding genome as a significant contributor to disease. However, prioritizing causal common and rare non-coding variants in human disease, and understanding how selective pressures have shaped the non-coding genome, remains a significant challenge. Here, we predicted the effects of 15 million variants with deep learning models trained on single-cell ATAC-seq across 132 cellular contexts in adult and fetal brain and heart, producing nearly two billion context-specific predictions. Using these predictions, we distinguish candidate causal variants underlying human traits and diseases and their context-specific effects. While common variant effects are more cell-type-specific, rare variants exert more cell-type-shared regulatory effects, with selective pressures particularly targeting variants affecting fetal brain neurons. To prioritize de novo mutations with extreme regulatory effects, we developed FLARE, a context-specific functional genomic model of constraint. FLARE outperformed other methods in prioritizing case mutations from autism-affected families near syndromic autism-associated genes; for example, identifying mutation outliers near CNTNAP2 that would be missed by alternative approaches. Overall, our findings demonstrate the potential of integrating single-cell maps with population genetics and deep learning-based variant effect prediction to elucidate mechanisms of development and disease-ultimately, supporting the notion that genetic contributions to neurodevelopmental disorders are predominantly rare.

genomics↗

bioRxiv2025

pH-Responsive Phase Separation Dynamics of Intrinsically Disordered Peptides

Liquid-liquid phase separation of biomolecules is crucial for maintaining the functional organization in biological systems. Intrinsically disordered proteins are particularly prone to form phase-separated condensates in response to various physicochemical triggers. While the effect of ionic strength and temperature on phase separation dynamics have been studied extensively, the influence of pH is less explored. Here, we study a model glycine-rich protein present in the tick bioadhesive, given its capability to undergo phase separation. After confirming its disordered nature through spectroscopy, we investigated its pH dependence and underlying molecular mechanisms. Our findings reveal that pH significantly influences the protein hydrophobicity via ionic residues, driving notable variations in the coacervation behavior (propensity, progression) and in shaping the material properties (viscosity, interfacial activity) of the formed condensates. Given the ubiquitous presence of disordered proteins in biology, this study provides valuable insights about the broad implications of the pH-dependent behavior of intrinsically disordered proteins.

biochemistry↗

bioRxiv2025

The role of MYB46 in modulating polysaccharide acetylation by mediating the transcriptional regulation of cell wall-related genes in Arabidopsis

Understanding the mechanism behind the transcriptional regulation of polysaccharide O-acetylation remains a key challenge that might be regulated through transcription factors. Our earlier work revealed the upregulation of AtGELP7 in MYB46 overexpression lines, prompting us to investigate how MYB46 transcriptionally controls AtGELP7 including other cell wall acetylation pathway genes in Arabidopsis. In MYB46 overexpression lines, we observed alteration in acetylation levels on xylan, xyloglucan and pectin in different tissue types, which suggests complex and tight regulation of acetylation homeostasis in the cell wall. Further, our transcriptomic data revealed the simultaneous upregulation of both AtGELP7 (acetyl xylan esterase) and xylan-specific TBLs (xylan O-acetyltransferases) indicating sophisticated regulation of cell wall acetylation homeostasis. Using transactivation studies in Nicotiana and pAtGELP7::GUS stable lines, we found that MYB46 enhances AtGELP7 expression probably through downstream regulators which could be either MYB103 or other MYBs. In addition, extensive cell wall analysis of MYB46 overexpression lines showed differential sugar distribution, preferably to major cell wall components such as cellulose, xyloglucan, and xylan across different tissue types of different developmental stages. Moreover, the integration of RNA-sequencing and ChIP-sequencing data uncovered previously unknown, novel probable direct gene targets of MYB46 that may be involved in polysaccharide acetylation and cell wall remodeling.

plant biology↗

bioRxiv2025

Distinct region-specific neutralization profiles of contemporary HIV-1 clade C against best-in-class broadly neutralizing antibodies

Broadly neutralizing antibodies (bnAb) have been clinically proven to be an excellent choice for HIV-1 prevention. However, the relative effectiveness of best-in-class bnAbs against regionally relevant circulating HIV-1 forms is not clear. In the present study, we compared the degree of neutralization sensitivity of contemporary HIV-1 Indian clade C with that of South African origin. Phylogenetic analysis revealed that these clade C viruses continue to evolve distinctly from one another. Env-pseudotyped viruses prepared using contemporary HIV-1 clade C env genes (N=115) obtained from nine geographically distinct sites in India (between 2020-2023) were found to be most sensitive to V3-directed bnAbs 10-1074 and BG18, and second generation CD4 binding site (CD4bs) directed bnAbs (VRC07, N6 and 1-18), however they were found to be significantly resistant to V1/V2 apex directed bnAbs. Moreover, we observed that the degree of sensitivity varied between contemporary Indian and South African clade C viruses. Differences in degree of neutralization susceptibility were associated with differences observed in key residues that form bnAb contact sites, gp120 loop lengths and the number of N-linked glycans in the V4 hypervariable region. Interestingly, the second generation CD4bs bnAbs (VRC07, N6, 1-18) showed neutralization of VRC01 and 3BNC117 resistant viruses but with 2-7-fold reduced potency compared to the VRC01 sensitive counterparts, likely due to the enrichment of resistance associated residues observed in loop D. Predictive analysis indicated that combination of BG18, N6 and PGDM1400 can provide over 95% neutralization coverage at 1g/mL of contemporary India clade C, an observation found to be distinct to that reported for the Africa clade C viruses. Taken together, we found distinct neutralization patterns and env signatures associated with resistance to key bnAbs. Our study highlights that towards achieving clinical effectiveness, both the complementarity of bnAb classes and the regionally relevant HIV forms need to be considered. Author summaryWhile the development of vaccines to prevent HIV infection remains a global priority, their potential effectiveness is limited by the extraordinarily diversified circulating forms of HIV-1. The prospect of best-in-class bnAbs as potential prevention option has been demonstrated in several studies including the Phase II Antibody Mediated Prevention (AMP) trial; however, to be broadly applicable, bnAbs will need to overcome the substantial variability of HIV env. The present study highlights that the contemporary HIV-1 clade C viruses are evolving to be less sensitive to the best-in-class bnAbs and HIV-1 clade C that predominates in India and South Africa vary in their degree of susceptibility to best-in-class clinically relevant bnAbs. This indicates differences in the antigenic properties between globally circulating HIV-1 clade C at a population level. Overall, the outcome of this study highlights the need for periodic assessment of sequence and neutralization profiles of the circulating regionally relevant HIV-1 forms towards prioritizing the bnAb combination suitable for effective intervention.

immunology↗

bioRxiv2024

Regulating biocondensates within synthetic cells via segregative phase separation

Living cells orchestrate a myriad of biological reactions within a highly complex and crowded environment. A major factor responsible for such seamless assembly are the preferential interactions between the constituent macromolecules, either associative or segregative, that can drive de-mixing to produce co-existing phases, and thus provide a dynamic intracellular compartmentalization. But how these two types of interactions, occurring simultaneously within the cytoplasmic space, influence each other is still largely unknown. This makes understanding and applying the molecular interactions that interfere with each other in such crowded environments crucial when engineering increasingly complex synthetic cells. Here, we show that the interplay between segregative and associative phase separation within cell-mimicking vesicles can lead to rich dynamics between them. Using on-chip microfluidic systems, we encapsulate the associative and segregative components in cell-sized containers and trigger their phase separations to create hierarchical structures that act as molecular recruiters, membrane targeting agents, and initiators of condensation. The obtained multiphase architecture provides an isolated microenvironment for condensates, restricting their molecular communication as well as diffusive motion, and leading to budding-like behaviour at the lipid membrane. In conclusion, we propose segregative phase separation as a universal condensate regulation strategy in managing molecular distribution, condensate location, as well as membrane interaction. We believe our approach will facilitate controlling the behaviour of membraneless organelles within synthetic cells.

synthetic biology↗