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Parmar, M.

Publications and source records attributed to Parmar, M..

At least 19 recordsLinked to original sources

Transient matrix remodeling during direct cell-fate reprogramming enables self-assembly of dense neuronal niches

Native tissues are characterized by high cellular density and continuous reciprocal interactions between cells and the extracellular matrix (ECM), yet recreating these features in vitro remains a major challenge. Current three-dimensional (3D) culture systems typically capture either dense cell-cell interactions or a defined ECM environment, but rarely both. Here, we introduce a strategy that exploits direct fibroblast-to-neuron reprogramming to decouple microenvironment formation from final cell identity. Human dermal fibroblasts were embedded in collagen microgels, where their intrinsic matrix-remodeling capacity drove rapid ECM compaction. Concurrently, the contractile fibroblasts were converted into induced neurons (iN), generating densely packed neuronal microcultures within a remodeled collagen matrix. This approach transforms a defining function of the starting cell type into a mechanism for engineering the microenvironment of the target cell type. The resulting iN-microgels combine high cell density, defined ECM composition, and tunable biophysical properties in a scalable microscale format. By coupling matrix remodeling with cell-fate conversion, our platform establishes a general framework for engineering tissue-like microenvironments and reveals how dynamic 3D extracellular contexts can be integrated into direct cell reprogramming.

bioengineering↗

Real-Time Neurotransmitter Sensing in Midbrain Organoids Using 3D Carbon Cup Electrodes

Real time, chemically selective detection of neurotransmitter release in brain organoids remains a challenge due to their complex three dimensional architecture and limited optical accessibility. We introduce 3D printed carbon cup electrodes (CCEs) -pyrolyzed, multi level pillar structures - designed to confine a single organoid, increase electroactive surface area, and enable amperometric recordings of oxidizable neurotransmitters. The CCEs exhibit excellent electrochemical performance and reproducibility, supporting diffusion controlled dopamine redox behavior without interference from culture medium. Using ventral midbrain (vMB) organoids at two maturation stages (Day 30 and Day 90), we demonstrate real time detection of potassium evoked dopamine release directly from organoids. Mature organoids exhibit higher peak currents, correlating with increased tyrosine hydroxylase (TH) expression confirmed by immunocytochemistry. Embedding organoids in Matrigel significantly attenuates dopamine signals, indicating a diffusion barrier that limits stimulant access and/or dopamine transport to the electrode. Repetitive stimulations reveal progressive depletion of dopamine stores, consistent with diminished vesicular release. Chemical perturbations using 6 hydroxydopamine and verapamil further validate the platform by producing substantial reductions in dopamine release accompanied by loss of TH neurons. These results establish CCEs as a powerful tool for label free, real-time monitoring of neurotransmission in human organoids, with potential for multiplexed sensing and integration of enzymatic detection strategies for non electroactive neurotransmitters.

neuroscience↗

Computational evolutionary approach to generate antimicrobial peptides

As a consequence of the overuse of conventional antibiotics, there is currently an unprecedented increase in antibiotic resistance in newer generations of pathogenic bacteria. This growing problem has led scientists to discover novel medications that could potentially reduce the usage of antibiotics, such as antimicrobial peptides (AMPs). Recent study has demonstrated that pardaxin could bind deeply into the surface of a lipid model membrane and inhibit the growth of pathogenic bacteria, including Staphylococcus aureus and Escherichia coli. In this work, the antibacterial efficacy of pardaxin was extended further by performing selective in silico substitution, driven by deep learning, Evolutionary-Scale Cambrian (ESMC) combined with conventional AMP design principles. Principal component analyses of the ESMC embeddings combined with conventional design models produced a set of single- and multiple-mutant analogues of pardaxin, which were predicted and validated with experimental data to exhibit selective antimicrobial properties against either E. coli or S. aureus, respectively. Atomistic molecular dynamics simulations further supported the notion that alpha-helical stability is a critical predictor of inner membrane activity, strongly correlated with their selective antimicrobial action tested in the lab. Overall, the findings highlighted a promising application of deep evolutionary machine learning techniques for screening a range of novel AMPs for selective antimicrobial agents.

biochemistry↗

A human developmental and adult brain atlas benchmarks dopaminergic stem cell models and cell therapy candidates

Parkinsons disease (PD) is characterized by the progressive loss of midbrain dopaminergic (mDA) neurons1. Stem cell-derived mDA neurons hold promise for disease modelling2,3 and are currently in clinical trials for cell replacement therapy4-6. However, systematic benchmarking has been limited by the lack of a unified high-resolution reference and methods that quantify incomplete or mixed lineage specification in vitro7. We establish a single-cell and spatial atlas of the human developing diencephalon-midbrain-hindbrain axis resolving 93 cell subtypes, including 39 lacking prior single-cell characterization and 4 entirely novel populations. Using this atlas as a reference, we integrate 19 hPSC-derived mDA datasets, both published2,8-25 and unpublished, to build the Human Dopaminergic Neural Atlas (HDNA) spanning 2D, 3D, and graft models, including those used in clinical trials. To classify cells and quantify lineage fidelity, we develop CapybaraBrain, a marker-driven non-negative decomposition framework that assigns each cell continuous identity scores across all 93 developmental programs, enabling systematic discrimination of discrete, transitioning, and cross-lineage hybrid states26. We uncover a pervasive landscape of off-target populations reflecting relaxed transcriptional boundaries in vitro, including a previously unrecognized TH-PITX2 midbrain neuronal population, and we validate atlas-predicted latent lineage plasticity through inducible genetic fate mapping in mouse models. We further define maturation-associated transcriptional programs by harmonizing adult mDA subtype atlases, revealing that dopaminergic identity and maturation are partially decoupled across protocols. Finally, projecting PD patient-derived tri-cultures onto the HDNA uncovers genotype- and cell-type-specific transcriptional dysregulation. Together, these integrated atlases and computational framework establish a unified standard for benchmarking differentiation fidelity, exposing off-target states, and guiding next-generation PD models and cell therapies.

Developmental Biology↗

Reversible haploidisation and convergent genomic routes to antifungal resistance in the Candida parapsilosis species complex

Antifungal resistance is rising among non-albicans Candida, with outbreaks increasingly linked to drug-resistant Candida parapsilosis. Using large-scale experimental evolution under fluconazole and anidulafungin, coupled to phenotyping and genome sequencing, we define resistance strategies across C. parapsilosis, Candida metapsilosis and Candida orthopsilosis. Despite diverse genetic backgrounds, adaptation repeatedly converged on a shared genomic toolkit that combines protein-altering mutations in key regulators and drug targets (including MRR1 and FKS1) with copy-number changes, aneuploidy, as well as loss of heterozygosity driving resistance alleles to homozygosity. Strikingly, drug selection triggered recurrent but reversible haploidisation in C. orthopsilosis, revealing ploidy reduction as a transient, selectable survival strategy. Resistance, particularly after fluconazole selection, imposed fitness costs that promoted compensatory evolution and resistance loss after drug withdrawal. Together, antifungal adaptation in this complex affects convergent targets, while being plastic in its genomic routes, with implications for resistance surveillance and drug cycling therapies.

microbiology↗

Reconstruction of the human nigrostriatal pathway in vitro reveals target-dependent dopamine neuron maturation

The human nigrostriatal pathway, comprising dopaminergic neurons in the ventral midbrain (vMB) projecting to the dorsolateral striatum, is essential for motor control and selectively vulnerable in Parkinsons disease (PD). How this circuit assembles during development and how it degenerates under pathological conditions remains poorly understood in a human context and in vitro models capturing its long-range connectivity and spatial organization have been lacking. Here, we introduce the connectoid, a compartmentalized, human stem cell-based model of the nigrostriatal pathway that integrates vMB and striatal organoids within a custom-engineered microfluidic device, confining cell bodies while guiding axonal growth, mimicking the in vivo topography. Functional connectivity was confirmed by retrograde rabies tracing, and optogenetic and pharmacological stimulation, while 6-hydroxydopamine-induced selective degeneration of dopamine neurons, recapitulating a key feature of PD. Additionally, single-cell transcriptomics revealed that interaction with striatal targets enhances dopaminergic neuron maturation and activates transcriptional programs linked to synaptic signaling. Thus, connectoids uniquely allow spatial segregation of regionalized organoids while preserving long-range communication, providing a scalable and physiologically relevant platform for studying human circuit assembly, selective vulnerability, and therapeutic interventions in PD.

neuroscience↗

Cografting strategies uncover cell type dependent regulation of dopamine neuron specification and functional maturation in a pre clinical model of Parkinson`s Disease

Parkinsons disease (PD), the second most common neurodegenerative disorder, is characterized by the progressive loss of A9 dopaminergic neurons in the substantia nigra, leading to dopamine (DA) depletion in the striatum and subsequent motor symptoms. Transplantation of ventral midbrain-patterned DA (vmDA) progenitors derived from human pluripotent stem cells, aimed at restoring DA neurotransmission in the striatum, is being developed and currently explored in ongoing clinical trials. One factor that may improve the maturation and fate determination of DA neurons in vivo is the intercellular communication within the graft environment, ultimately affecting the therapeutic outcome. In this study, we co-transplanted vmDA progenitors with either glial, ventral forebrain or striatal progenitors into a preclinical xenograft PD model to investigate how these interactions shape the development, maturation, and function of therapeutic DA neurons. Our findings show that co-grafts with ventral forebrain progenitors increase the yield of DA neurons and also promote their functional maturation. Furthermore, we demonstrated that co-grafts with striatal neurons promote functional maturation and the acquisition of DA subtype identity. From these data, we identified EBF3 and PBX3 as candidate transcription factors directing DA neuron maturation and subtype specification, and then functionally validated their role in brain organoids. Taken together, our data highlight that the cellular microenvironment, including specific interactions with neighbouring cells, guides in vivo DA neuron specification and maturation. These findings provide a foundation for developing more refined and effective cell preparations for replacement therapy in PD, and define a conceptual framework that could inform stem cell-based strategies for other neurodegenerative diseases.

neuroscience↗

Long-lasting structural and functional maturation in transplanted human neurons reprogrammed from glial progenitor cells

Direct reprogramming of brain-resident glial progenitor cells (GPCs) into induced neurons (iN) shows great promise for future regenerative therapies for brain diseases. This type of cell conversion is facilitated by introducing lineage-specific transcription factors or small molecules to somatic cells, and can even be achieve in vivo, targeting resident glia cells in the brain for in vivo conversion. While this have shown promising results in animal models, a crucial step is to show the long-term survival and maturation of human reprogrammed cells in vivo. However, this remains largely unexplored partly due to the inaccessible cell source of GPC and difficulty in transplanting converted neurons. In this study, we assessed human GPCs derived iNs for their long-term structural and functional neuronal maturation after transplantation to the immunodeficient mouse brain. GPCs were transduced with established transcription factor cocktail and transplanted to the medial prefrontal cortex as three-dimensional cultures to improve survival and integration upon transplantation. Our results reveal survival of hiNs, for up to 10 months post-transplantation (MPT) and wide distribution across local and proximal functionally connected brain regions. Morphological analysis revealed a gradual neuronal maturation over time, characterized by increase in cellular complexity and expression of neuronal markers. Supporting these findings, electrophysiological recordings demonstrated progressive functional maturation up to 5 MPT with increase in sodium and potassium currents, and the ability to generate multiple evoked and spontaneous action potentials, validating a neuronal phenotype. Importantly, these changes were absent in control grafts of non-converted hGPCs that retained their glia identity. Our findings indicate that hGPCs derived iNs maintain a stable neuronal phenotype that persist in the mouse brain for extended periods. These cells exhibit survival and remarkable adaptability to the host environment, enabling both structural and functional maturation over time. These results highlight their potential as a promising strategy for neural replacement therapies aimed at restoring damaged circuits and promoting brain repair. Highlights* Human neurons reprogrammed from glia progenitor cells survive long term upon transplantation in the immunodeficient mouse brain. * The human induced neurons migrate to local and distal connected brain regions within prefrontal cortex circuitry. * Grafted neurons gradually develop neuronal complex morphology and electrophysiological functional properties in the mouse brain.

neuroscience↗

Generating human parvalbumin interneurons through 3D glia reprogramming

Parvalbumin (PV) interneurons are crucial for synaptic plasticity, and their damage or loss is linked to various neurological disorders. Yet, generating these cells of human source in vitro is challenging, limiting advancements in cell repair and disease modelling. We introduce a novel approach to derive human PV neurons through direct reprogramming of glial precursor cells (GPCs). Using ectopic expression of GABAergic neuronal genes, GPCs efficiently convert into GABAergic interneurons in 3D culture environment within weeks and achieve functional neuronal maturity. Single-nuclei RNA sequencing identified a distinct PV neuronal cluster with high maturity and characteristics of PV chandelier subclass that are equivalent to bona fide human interneurons. Trajectory analysis revealed a distinct glia-to-PV interneuron conversion pathway, involving several new transitory genes, with potential for functional importance for PV derivation. Our data introduces a new strategy for generating human PV interneurons, promising significant implications for future generation of patient-specific PV neurons both in vitro and in vivo. HighlightsO_LIA novel approach to derive human PV interneurons by direct glia reprogramming. C_LIO_LIFirst comprehensive transcriptomic profiling of induced human PV interneurons. C_LIO_LIInduced PV interneurons are of chandelier subtype with transcriptional similarity to bona fide interneurons. C_LIO_LISuccessful glia-to-PV interneuron conversion passes through a specific reprogramming trajectory and involves key genes with functional potential. C_LI

neuroscience↗

Injectable 3D microcultures enable intracerebral transplantation of mature neurons directly reprogrammed from patient fibroblasts

Direct reprogramming of somatic cells into induced neurons (iNs) has become an attractive strategy for the generation of patient-specific neurons for disease modeling and regenerative neuroscience. To this end, adult human dermal fibroblasts (hDFs) present one of the most relevant cell sources. However, iNs generated from adult hDFs using two-dimensional (2D) cultures poorly survive transplantation into the adult brain in part due to the need for enzymatic or mechanical cellular dissociation before transplantation. Three-dimensional (3D) culturing methodologies have the potential to overcome these issues but have largely been unexplored for the purposes of direct neuronal reprogramming. Here we report a strategy for direct in vitro reprogramming of adult hDFs inside suspension 3D microculture arrays into induced DA neurospheroids (iDANoids). We show that iDANoids express neuronal and DA markers and are capable of firing mature action potentials and releasing dopamine. Importantly, they can be gently harvested and transplanted into the brain of a Parkinsons disease rat model to reproducibly generate functionally integrated neuron-rich grafts. The 3D culturing approach presented here thus eliminates a major bottleneck in direct neuronal reprogramming field and, due to its simplicity and versatility, could readily be adapted as a culturing platform used for a broad range of transplantation studies as well as disease modeling.

neuroscience↗

Designing multi-epitope based peptide vaccine targeting spike protein SARS-CoV-2 B1.1.529 (Omicron) variant using computational approaches.

Since the SARS-CoV-2 outbreak in 2019, millions of people have been infected with the virus, and due to its high human-to-human transmission rate, there is a need for a vaccine to protect people. Although some vaccines are in use, due to the high mutation rate in the SARS-CoV-2 multiple variants, the current vaccines may not be sufficient to immunize people against new variant threats. One of the emerging variants of concern is B1.1.529 (Omicron), which carries[~]30 mutations in the Spike protein of SARS-CoV-2 is predicted to evade antibodies recognition even from vaccinated people. We used a structure-based approach along with an epitope prediction server to develop a Multi-Epitope based Subunit Vaccine (MESV) involving SARS-CoV-2 B1.1.529 variant spike glycoprotein. The predicted epitope with better antigenicity and non-toxicity were used for designing and predicting vaccine construct features and structure models. The MESV construct In-silico cloning in pET28a expression vector predicted the construct to be highly translational. The proposed MESV vaccine construct was also subjected to immune simulation prediction and was found to be highly antigenic and elicit a cell-mediated immune response. The proposed MESV in the present study has the potential to be evaluated further for vaccine production against the newly identified B1.1.529 (Omicron) variant of concern.

bioinformatics↗

Structural Differences In 3C-like protease (Mpro) From SARS-CoV and SARS-CoV-2: Molecular Insights For Drug Repurposing Against COVID-19 Revealed by Molecular Dynamics Simulations.

A recent fatal outbreak of novel coronavirus SARS-CoV-2, identified preliminary as a causative agent for series of unusual pneumonia cases in Wuhan city, China has infected more than 20 million individuals with more than 4 million mortalities. Since, the infection crossed geographical barriers, the WHO permanently named the causing disease as COVID-2019 by declaring it a pandemic situation. SARS-CoV-2 is an enveloped single-stranded RNA virus causing a wide range of pathological conditions from common cold symptoms to pneumonia and fatal severe respiratory syndrome. Genome sequencing of SARS-CoV-2 has revealed 96% identity to the bat coronavirus and 79.6% sequence identity to the previous SARS-CoV. The main protease (known as 3C-like proteinase/ Mpro) plays a vital role during the infection with the processing of replicase polyprotein thus offering an attractive target for therapeutic interventions. SARS-CoV and SARS-CoV-2 Mpro shares 97% sequence identity, with 12 variable residues but none of them present in the catalytic and substrate binding site. With the high level of sequence and structural similarity and absence of any drug/vaccine against SARS-CoV-2, drug repurposing against Mpro is an effective strategy to combat COVID-19. Here, we report a detailed comparison of SARS-CoV-2 Mpro with SARS-CoV Mpro using molecular dynamics simulations to assess the impact of 12 divergent residues on the molecular microenvironment of Mpro. A structural comparison and analysis is made on how these variable residues affects the intra-molecular interactions between key residues in the monomer and biologically active dimer form of Mpro. The present MD simulations study concluded the change in microenvironment of active-site residues at the entrance (T25, T26, M49 and Q189), near the catalytic region (F140, H163, H164, M165 and H172) and other residues in substrate binding site (V35T, N65S, K88R and N180K) due to 12 mutation incorporated in the SARS-CoV-2 Mpro. It is also evident that SARS-CoV-2 dimer is more stable and less flexible state compared to monomer which may be due to these variable residues, mainly F140, E166 and H172 which are involved in dimerization. This also warrants a need for inhibitor design considering the more stable dimer form. The mutation accumulated in SARS-CoV-2 Mpro indirectly reconfigures the key molecular networks around the active site conferring a potential change in SARS-CoV-2, thus posing a challenge in drug repurposing SARS drugs for COVID-19. The new networks and changes in microenvironment identified by our work might guide attempts needed for repurposing and identification of new Mpro inhibitors.

bioinformatics↗

Embedded 3D printing in self-healing annealable composites for functional patterning of human neural constructs

Human in vitro models of neural tissue with controllable cellular identity, tunable microenvironment, and defined spatial arrangement are needed to facilitate studies of brain development and disease. Towards this end, embedded printing in jammed microgel supports (i.e., granular gels) holds great promise as it allows precise and programmable patterning of extremely soft and compliant tissue constructs. However, in contrast to the vast material landscape available for bulk hydrogels, granular printing support formulations are restricted to a handful of materials without the ability for facile adjustment of biofunctional properties of the cellular microenvironment. Therefore, there has been a need for novel materials that take advantage of versatile biomimicry of bulk hydrogels while providing high-fidelity support for embedded printing akin to granular gels. To address this need, we present a modular platform for bioengineering of neuronal networks via direct embedded 3D printing of human stem cells inside Self-Healing Annealable Particle-Extracellular matrix (SHAPE) composites. SHAPE composites consist of soft microgels immersed in viscous extracellular-matrix solution to enable precise freeform patterning of human stem cells and consequent generation and long-term maintenance of mature subtype-specific neurons that extend projections within the volume of the annealed support. The developed approach further allows multi-ink deposition, live spatial and temporal monitoring of oxygen levels, as well as creation of vascular channels. Due to its modularity, SHAPE biomanufacturing toolbox not only offers a solution for functional modeling of mechanically sensitive neural constructs, but also has potential to be applied to a wide range of biomaterials with different crosslinking mechanisms to model tissues and diseases where recapitulation of complex architectural features and topological cues is essential.

bioengineering↗

Age-related pathological impairments in induced neurons derived from patients with idiopathic Parkinson's disease

Understanding the pathophysiology of Parkinsons disease has been hampered by the lack of models that recapitulate all the critical factors underlying its development. Here, we generated functional induced dopaminergic neurons (iDANs) that were directly reprogrammed from adult human dermal fibroblasts of patients with idiopathic Parkinsons disease to investigate diseaserelevant pathology. We show that iDANs derived from Parkinsons disease patients exhibit lower basal chaperone-mediated autophagy as compared to iDANs of healthy donors. Furthermore, stress-induced autophagy resulted in an accumulation of macroautophagic structures in induced neurons (iNs) derived from Parkinsons disease patients, independently of the specific neuronal subtype but dependent on the age of the donor. Finally, we found that these impairments in patient-derived iNs lead to an accumulation of phosphorylated alpha-synuclein, a hallmark of Parkinsons disease pathology. Taken together, our results demonstrate that direct neural reprogramming provides a patient-specific model to study aged neuronal features relevant to idiopathic Parkinsons disease.

neuroscience↗

Distinct sub-cellular autophagy impairments occur independently of protein aggregation in induced neurons from patients with Huntington's disease

Huntingtons disease (HD) is a neurodegenerative disorder caused by CAG expansions in the huntingtin (HTT) gene. Modelling HD has remained challenging, as rodent and cellular models poorly recapitulate the disease. To address this, we generated induced neurons (iNs) through direct reprogramming of human skin fibroblasts, which retain age-dependent epigenetic characteristics. HD-iNs displayed profound deficits in autophagy, characterised by reduced transport of late autophagic structures from the neurites to the soma. The neurite-specific alterations in autophagy resulted in shorter, thinner and fewer neurites presented by HD-iNs. CRISPRi-mediated silencing of HTT did not rescue this phenotype but rather resulted in additional autophagy alterations in ctrl-iNs, highlighting the importance of wild type HTT in neuronal autophagy. In summary, our work identifies a distinct subcellular autophagy impairment in aged patient derived HD-neurons and provides a new rational for future development of autophagy activation therapies.

neuroscience↗

Neural tube patterning: from a minimal model for rostrocaudal patterning towards an integrated 3D model

The rostrocaudal patterning of the neural tube is a key event in early brain development. This process is mainly driven by a gradient of WNT, which defines the fate of the present neural progenitor cells in a dose dependent matter and leads to a subdivision of the tube into forebrain, midbrain and hindbrain. Although this process is extensively studied experimentally both in vivo and in vitro, an integrated view of the responsible genetic circuitry is currently lacking. In this work, we present a minimal gene regulatory model for rostrocaudal neural tube patterning. The model's nodes and architecture are determined in a data driven way, leading to a tristable configuration of mutually repressing brain regions. Analysis of the parameter sensitivity and simulations of knockdown and overexpression cases show that repression of hindbrain fate is a promising strategy for the improvement of current protocols for the generation of dopaminergic neurons in vitro. Furthermore, we combine the model with an existing model for dorsoventral neural tube patterning, to test its capabilities in an in vivo setting, by predicting the steady state pattern of a realistic three-dimensional neural tube. This reveals that the rostrocaudal pattern stacks dorsoventrally in the caudal half of the neural tube. Finally, we simulate morphogen secretion overexpression, which highlights the sensitivity of neural tube patterning to the morphogen levels.

systems biology↗

Single cell transcriptional and functional analysis of human dopamine neurons in 3D fetal ventral midbrain organoid like cultures

Transplantation of midbrain dopamine (DA) neurons for the treatment of Parkinsons disease (PD) is a strategy that has being extensively explored and clinical trials using fetal and stem cell-derived DA neurons are ongoing. An increased understanding of the mechanisms promoting the generation of distinct subtypes of midbrain DA during normal development will be essential for guiding future efforts to precisely generate molecularly defined and subtype specific DA neurons from pluripotent stem cells. In this study, we used droplet-based scRNA-seq to transcriptionally profile a large number of fetal cells from human embryos at different stages of ventral midbrain (VM) development (6, 8, and 11 weeks post conception). This revealed that the emergence of transcriptionally distinct cellular populations was evident already at these early timepoints. To study late events of human DA differentiation and functional maturation, we established a primary fetal 3D culture system that recapitulates key molecular aspects of late human DA neurogenesis and sustains differentiation and functional maturation of DA neurons in a physiologically relevant cellular context. This approach allowed us to define the molecular identities of distinct human DA progenitors and neurons at single cell resolution and construct developmental trajectories of cell types in the developing fetal VM. Overall these findings provide a unique transcriptional profile of developing fetal VM and functionally mature human DA neurons, which can be used to quality control stem cell-derived DA neurons and guide stem cell-based therapies and disease modeling approaches in PD.

neuroscience↗