Biology subjects

Jain, S.

Publications and source records attributed to Jain, S..

At least 91 records · Page 5Linked to original sources

bioRxiv2024

Leveraging chromatin packing domains to target chemoevasion in vivo

Cancer cells exhibit a remarkable resilience to cytotoxic stress, often adapting through transcriptional changes linked to alterations in chromatin structure. In several types of cancer, these adaptations involve epigenetic modifications and restructuring of topologically associating domains (TADs). However, the underlying principles by which chromatin architecture facilitates such adaptability across different cancers remain poorly understood. To investigate the role of chromatin in this process, we developed a physics-based mechanistic model that connects chromatin organization to cell fate decisions, specifically survival following chemotherapy. Our model builds on the observation that chromatin forms packing domains, which influence transcriptional efficiency through macromolecular crowding. The model accurately predicts chemoevasion in vitro, suggesting that changes in packing domains affect the likelihood of survival. Consistent results across diverse cancer types indicate that the model captures fundamental principles of chromatin-mediated adaptation, independent of the specific cancer or chemotherapy mechanisms involved. Based on these insights, we hypothesized that compounds capable of modulating packing domains, termed Transcriptional Plasticity Regulators (TPRs), could prevent cellular adaptation to chemotherapy. Using live-cell chromatin imaging, we conducted a compound screen that identified several TPRs which synergistically enhanced chemotherapyinduced cell death. The most effective TPR significantly improved therapeutic outcomes in a patient-derived xenograft (PDX) model of ovarian cancer. These findings underscore the central role of chromatin in cellular adaptation to cytotoxic stress and present a novel framework for enhancing cancer therapies, with broad potential across multiple cancer types.

biophysics↗

bioRxiv2024

Microglia regulate GABAergic neurogenesis in prenatal human brain through IGF1

GABAergic neurons are an essential cellular component of neural circuits. Their abundance and diversity have enlarged significantly in the human brain, contributing to the expanded cognitive capacity of humans. However, the developmental mechanism of the extended production of GABAergic neurons in the human brain remains elusive. Here, we use single-cell transcriptomics, bioinformatics, and histological analyses to uncover microglial regulation of the sustained proliferation of GABAergic progenitors and neuroblasts in the human medial ganglionic eminence (hMGE). We show that insulin-like growth factor 1 (IGF1) and its receptor IGR1R as the top ligand-receptor pair underlying microglia-progenitor communication in the prenatal human brain. Using our newly developed neuroimmune hMGE organoids, which mimics hMGE cytoarchitecture and developmental trajectory, we demonstrate that microglia-derived IGF1 promotes progenitor proliferation and the production of GABAergic neurons. Conversely, IGF1-neutralizing antibodies and IGF1 knockout human embryonic stem cells (hESC)-induced microglia (iMG) completely abolished iMG-mediated progenitor proliferation. Together, these findings reveal a previously unappreciated role of microglia-derived IGF1 in promoting proliferation of neural progenitors and the development of GABAergic neurons.

neuroscience↗

bioRxiv2024

An ensemble method for predicting and designing of druggable proteins.

In the past, numerous proteins/peptides have been discovered, which have a wide range of therapeutic properties like anticancer, antimicrobial, antihypertensive. Only few hundreds of proteins are druggable (approved by US FDA), most of the proteins fails in clinical trials. In this study, an attempt had been made to understand properties of FDA approved proteins to develop models for predicting druggable proteins. Our main dataset 356 FDA approved proteins as positive dataset and equal number of randomly selected proteins as negative dataset. We used 80% data for training and 20% for independent validation, no protein in validation dataset have more than 40% similarity with any protein in training dataset. We deployed machine learning based models using a five-fold cross-validation and test on validation dataset. Our random forest-based model developed using SVC-L1 selected features obtained maximum performance AUC of 0.80 with MCC 0.61 on validation data. In addition to this, we performed MERCI-based motif analysis to find motifs in druggable proteins. Finally, we developed an ensemble-based method combining best performing machine learning model with motifs and achieved AUC 0.92 with MCC 0.83 on independent validation dataset. We developed a web server and standalone package ThPPred to facilitate scientific community in predicting and designing druggable proteins (https://webs.iiitd.edu.in/raghava/thppred/). HighlightsO_LIAnalysis of FDA approved or druggable proteins C_LIO_LIDiscrimination of druggable and non-druggable proteins C_LIO_LIMachine learning based models for predicting druggable molecules C_LIO_LIIdentification of motifs in druggable proteins C_LIO_LIA web server for providing service to community C_LI

bioinformatics↗

bioRxiv2024

A Modular Bacteriophage T4 Nanoparticle Platform Enables Rapid Design of Completely Protective Multivalent Mucosal Dual Vaccine Against COVID-19 and Flu

A multivalent, rapidly deployable, mucosal vaccine platform is desperately needed to prevent the acquisition and transmission of respiratory infections during epidemics and pandemics. We present one such bacteriophage T4-based platform, and design of dual COVID-19-Flu mucosal vaccines by exploiting its unique architecture. These include: T4s natural affinity for nasal mucosa, flexible engineering to incorporate multiple antigens, and repeat and symmetric epitope presentation for enhanced B cell responses. Hundreds of SARS-CoV-2 spike trimers and nucleocapsid proteins, and influenza hemagglutinin trimers and M2e peptides, were incorporated into a single phage, creating the highest density nanoparticle presentation yet reported. Intranasal administration of adjuvant-free vaccine induced robust mucosal immunity in mice including, neutralizing antibody and secretory IgA, lung-resident CD4+/CD8+ T cells, diverse memory B cells, and complete protection against SARS-CoV-2 and influenza challenges. The noninfectious T4 phage offers an extraordinary platform to rapidly design potent mucosal vaccines against emerging bacterial and viral threats.

microbiology↗

bioRxiv2024

A MEF2C transcripton factor network regulates proliferation of glomerular endothelial cells in diabetic kidney disease

The maintenance of a healthy epithelial-endothelial juxtaposition requires cross-talk within glomerular cellular niches. We sought to understand the spatially-anchored regulation and transition of endothelial and mesangial cells from health to injury in DKD. From 74 human kidney samples, an integrated multi-omics approach was leveraged to identify cellular niches, cell-cell communication, cell injury trajectories, and regulatory transcription factor (TF) networks in glomerular capillary endothelial (EC-GC) and mesangial cells. Data were culled from single nucleus RNA and ATAC sequencing and three orthogonal spatial transcriptomic technologies for correlation with histopathological and clinical trial data. We identified a cellular niche in diabetic glomeruli enriched in a proliferative endothelial cell subtype (prEC) and altered vascular smooth muscle cells (VSMCs). Cellular communication within this niche maintained pro-angiogenic signaling with loss of anti-angiogenic factors. We identified a TF network of MEF2C, MEF2A, and TRPS1 which regulated SEMA6A and PLXNA2, a receptor-ligand pair opposing angiogenesis. In silico knockout of the TF network accelerated the transition from healthy EC-GCs toward a degenerative (injury) endothelial phenotype, with concomitant disruption of EC-GC and prEC expression patterns. Glomeruli enriched in the prEC niche had histologic evidence of neovascularization. MEF2C activity was increased in diabetic glomeruli with nodular mesangial sclerosis. The gene regulatory network (GRN) of MEF2C was dysregulated in EC-GCs of patients with DKD, but sodium glucose transporter-2 inhibitor (SGLT2i) treatment reversed the MEF2C GRN effects of DKD. The MEF2C, MEF2A, and TRPS1 TF network carefully balances the fate of the EC-GC in DKD. When the TF network is "on" or over-expressed in DKD, EC-GCs may progress to a prEC state, while TF suppression leads to cell death. SGLT2i therapy may restore the balance of MEF2C activity.

cell biology↗

bioRxiv2024

Methanogenesis inhibition remodels microbial fermentation and stimulates acetogenesis in ruminants

Rumen microbiota enable ruminants to grow on fibrous plant materials but also produce methane, driving 5% of global greenhouse gas emissions and leading to a loss of gross energy content. Methanogenesis inhibitors such as 3-nitrooxypropanol (3-NOP) decrease methane emissions in ruminants when supplemented in feed. Yet we lack a system-wide, species-resolved understanding of how the rumen microbiota remodels following inhibition and how this influences animal production. Here, we conducted a large-scale trial with 51 dairy calves to analyse microbiota responses to 3-NOP, pairing host performance, emissions, and nutritional profiles with genome-resolved metagenomic and metatranscriptomic data. 3-NOP supplementation decreased methane emissions by an average of 62%, modulated short-chain fatty acid and H2 levels, and did not affect dietary intake or animal performance. We created a rumen microbial genome catalogue with an unprecedented mapping rate. We observed a strong reduction of methanogens and stimulation of reductive acetogens, primarily novel uncultivated lineages such as Candidatus Faecousia. However, there was a shift in major fermentative communities away from acetate production in response to hydrogen gas accumulation. Thus, the divergent responses of the fermentative and hydrogenotrophic communities limit potential productivity gains from methane reduction. Reporting one of the largest reductions in methane emissions in a field trial to date, this study links ruminant greenhouse gas emissions and productivity to specific microbial species. These findings also emphasise the importance of microbiota-wide analysis for optimising methane mitigation strategies and identify promising strategies to simultaneously reduce emissions while increasing animal production. Significance StatementOne strategy to increase the sustainability and productivity of livestock production is to modulate ruminant microbiota to produce absorbable nutrients rather than the potent greenhouse gas methane. Previous studies show supplementing feed with methanogenesis inhibitors such as 3-nitrooxypropanol reduces methane emissions, but also leads to inconsistent productivity gains. Here we report a definitive field trial, combining animal data, meta-omics, and structural modelling, to resolve the key microbes and pathways controlling nutrient and methane production in ruminants. We show that shifts in composition and gene expression of hydrogen-cycling microbes reduce emissions but limit productivity gains. These findings offer insights at unprecedented resolution, while the data and analytical framework provide valuable resources to develop solutions to enhance livestock productivity and sustainability.

microbiology↗

bioRxiv2024

A mRNA Vaccine Encoding for a 60-mer G Glycoprotein Nanoparticle Elicits a Robust Neutralizing Antibodies Response Against the Nipah Virus

The Nipah virus is a zoonotic pathogen causing encephalitis and acute respiratory illness in humans with very high fatality rates. Here we report a novel messenger RNA vaccine that directly encodes for a nanoparticle displaying 60 head domains of the Nipah virus G (NiV G) glycoprotein that acts as a highly effective antigen. A vaccine encoding for the NiV G nanoparticle elicits high antibody titers against NiV G and a robust neutralizing antibody response with a pseudotyped Nipah virus system. We ultimately find that the proposed mRNA NiV G nanoparticle (mRNA NiV G-NP) provides a flexible platform for the development of vaccines that will likely be of great value in combatting future Nipah virus outbreaks.

immunology↗

bioRxiv2024

Three Dimensional Multiscalar Neurovascular Nephron Connectivity Map of the Human Kidney Across the Lifespan

The human kidney is a vital organ with a remarkable ability to coordinate the activity of up to a million nephrons, its main functional tissue unit (FTU), and maintain homeostasis. We developed tissue processing and analytical methods to construct a 3D map of neurovascular nephron connectivity of the human kidney and glean insights into how this structural organization enables coordination of various functions of the nephron, such as glomerular filtration, solute and water absorption, secretion by the tubules, and regulation of blood flow and pressure by the juxtaglomerular apparatus, in addition to how these functions change across disease and lifespans. Using light sheet fluorescence microscopy (LSFM) and morphometric analysis we discovered changes in anatomical orientation of the vascular pole, glomerular density, volume, and innervation through postnatal development and ageing. The extensive nerve network exists from cortex FTUs to medullary loop of Henle, providing connectivity within segments of the same nephron, and between separate nephrons. The nerves organize glomeruli into discreet communities (in the same network of nerves). Adjacent glomerular communities are connected to intercommunal "mother glomeruli" by nerves, a pattern repeating throughout the cortex. These neuro-nephron networks are not developed in postnatal kidneys and are disrupted in diseased kidneys (diabetic or hydronephrosis). This structural organization likely poises the entire glomerular and juxtaglomerular FTUs to synchronize responses to perturbations in fluid homeostasis, utilizing mother glomeruli as network control centers.

neuroscience↗

bioRxiv2024

FUSION: A web-based application for in-depth exploration of multi-omics data with brightfield histology

Spatial -OMICS technologies facilitate the interrogation of molecular profiles in the context of the underlying histopathology and tissue microenvironment. Paired analysis of histopathology and molecular data can provide pathologists with otherwise unobtainable insights into biological mechanisms. To connect the disparate molecular and histopathologic features into a single workspace, we developed FUSION (Functional Unit State IdentificatiON in WSIs [Whole Slide Images]), a web-based tool that provides users with a broad array of visualization and analytical tools including deep learning-based algorithms for in-depth interrogation of spatial -OMICS datasets and their associated high-resolution histology images. FUSION enables end-to-end analysis of functional tissue units (FTUs), automatically aggregating underlying molecular data to provide a histopathology-based medium for analyzing healthy and altered cell states and driving new discoveries using "pathomic" features. We demonstrate FUSION using 10x Visium spatial transcriptomics (ST) data from both formalin-fixed paraffin embedded (FFPE) and frozen prepared datasets consisting of healthy and diseased tissue. Through several use-cases, we demonstrate how users can identify spatial linkages between quantitative pathomics, qualitative image characteristics, and spatial --omics

pathology↗

bioRxiv2024

Importin alpha inhibitors act against the differentiated stages of apicomplexan parasites Plasmodium falciparum and Toxoplasma gondii

Protozoan parasites of the phylum Apicomplexa, including Plasmodium falciparum and Toxoplasma gondii, cause widespread disease in humans. New drugs and protein targets are required for the treatment of these diseases, particularly therapies targeting multiple stages of the parasite life cycles. Nuclear import, carried out by the transporters importin (IMP) and {beta} subunits, is a valid target for the discovery of lead compounds against these protozoan parasites: small molecules were identified that inhibit interactions between IMP and nuclear localisation signals in vitro and also inhibit the growth of the rapidly-dividing stages of P. falciparum and T. gondii (asexual stages and tachyzoites) in culture. In this report, we add another small molecule (Bay 11-7082) to the panel of inhibitors of IMP and test the ability of these inhibitors to first, inhibit nuclear transport in the rapidly dividing stages and, next, the maturation of differentiated stages of both parasites. We show that GW5074 and CAPE inhibit nuclear transport in the P. falciparum blood stages, while Bay 11-7085 inhibits nuclear transport in T. gondii tachyzoites. Interestingly, CAPE strongly inhibits gametocyte maturation, the sexual stages of P. falciparum, and Bay 11-7085 weakly inhibits bradyzoite differentiation, the latent stages of T. gondii. As differentiation of both these stages is dependent on activation of gene expression, triggered by the nuclear translocation of transcription factors, our work provides a "proof of concept" that targeting nuclear import is a viable strategy for the development of therapeutics against multiple stages of apicomplexan parasites, some of them recalcitrant to existing drugs.

molecular biology↗

bioRxiv2024

Unravelling the Dynamics of Bacterial-Laden Respiratory Droplets: Epidemiological Transfer from Fomites to Susceptible Host

This study provides the first comprehensive investigation into how pathogen-laden respiratory droplets transfer diseases via inanimate surfaces. Respiratory fluid ejections containing pathogens pose a significant health threat, especially in high-traffic areas like hospitals, public transport, restaurants, and schools. When these droplets dry on surfaces, they form deposits that can transfer pathogens to healthy individuals through contact and can be ingested via the oral or nasal route. The study examined the effects of varying salt and mucin concentrations in respiratory fluid droplets containing Pseudomonas aeruginosa (PA). Results showed that PA viability increased tenfold at elevated mucin concentrations, while changes in salt concentration had minimal impact. Adhesive properties of the deposits were analysed using atomic force spectroscopy and scotch tape test. Pathogen transfer from the deposit to a fingerprint patterned model thumb at different relative humidity (RH) levels was assessed using confocal microscopy, showing significant pathogen transfer at elevated RH. Out of 106 CFU/ml pathogens in deposits, 17% to 38% are potentially transferable, with most of the transfer occurring from the droplets edge deposits. The study also explored evaporation, internal flow, and precipitation dynamics, with deposit and pathogen distribution characterized by optical profilometry, scanning electron microscopy, and confocal microscopy.

microbiology↗

bioRxiv2024

Microbial aerotrophy enables continuous primary production in diverse cave ecosystems

Most aerated cave ecosystems are assumed to be oligotrophic given they receive minimal inputs of light energy. Diverse microorganisms have nevertheless been detected within caves, though it remains unclear what strategies enable them to meet their energy and carbon needs. Here we determined the processes and mediators of primary production in aerated limestone and basalt caves through paired metagenomic and biogeochemical profiling. Based on 1458 metagenome-assembled genomes, over half of microbial cells in caves encode enzymes to use atmospheric trace gases as energy and carbon sources. The most abundant microbes in these systems are chemosynthetic primary producers, notably the novel gammaproteobacterial methanotrophic order Ca. Methylocavales and two uncultivated actinobacterial genera predicted to grow on atmospheric hydrogen, carbon dioxide, and carbon monoxide. In situ and ex situ biogeochemical and isotopic measurements consistently confirmed that these gases are rapidly consumed at rates sufficient to meet community-wide energy needs and drive continual primary production. Conventional chemolithoautotrophs, which use trace lithic compounds such as ammonium and sulfide, are also enriched and active alongside these trace gas scavengers. These results indicate that caves are unique in both their microbial composition and the biogeochemical processes that sustain them. Based on these findings, we propose caves are the first known ecosystems where atmospheric trace gases primarily sustain growth rather than survival and define this process as aerotrophy. Cave aerotrophy may be a hidden process supporting global biogeochemistry.

microbiology↗

bioRxiv2024

Biochemical and neurophysiological effects of deficiency of the mitochondrial import protein TIMM50

TIMM50, an essential TIM23 complex subunit, is suggested to facilitate the import of [~]60% of the mitochondrial proteome. In this study, we characterized a TIMM50 disease causing mutation in human fibroblasts and noted significant decreases in TIM23 core protein levels (TIMM50, TIMM17A/B, and TIMM23). Strikingly, TIMM50 deficiency had no impact on the steady state levels of most of its putative substrates, suggesting that even low levels of a functional TIM23 complex are sufficient to maintain the majority of TIM23 complex-dependent mitochondrial proteome. As TIMM50 mutations have been linked to severe neurological phenotypes, we aimed to characterize TIMM50 defects in manipulated mammalian neurons. TIMM50 knockdown in mouse neurons had a minor effect on the steady state level of most of the mitochondrial proteome, supporting the results observed in patient fibroblasts. Amongst the few affected TIM23 substrates, a decrease in the steady state level of components of the intricate oxidative phosphorylation and mitochondrial ribosome complexes was evident. This led to declined respiration rates in fibroblasts and neurons, reduced cellular ATP levels and defective mitochondrial trafficking in neuronal processes, possibly contributing to the developmental defects observed in patients with TIMM50 disease. Finally, increased electrical activity was observed in TIMM50 deficient mice neuronal cells, which correlated with reduced levels of KCNJ10 and KCNA2 plasma membrane potassium channels, likely underlying the patients epileptic phenotype.

biochemistry↗

bioRxiv2024

Evaluation of enzyme activity predictions for variants of unknown significance in Arylsulfatase A

Continued advances in variant effect prediction are necessary to demonstrate the ability of machine learning methods to accurately determine the clinical impact of variants of unknown significance (VUS). Towards this goal, the ARSA Critical Assessment of Genome Interpretation (CAGI) challenge was designed to characterize progress by utilizing 219 experimentally assayed missense VUS in the Arylsulfa-tase A (ARSA) gene to assess the performance of community-submitted predictions of variant functional effects. The challenge involved 15 teams, and evaluated additional predictions from established and recently released models. Notably, a model developed by participants of a genetics and coding bootcamp, trained with standard machine-learning tools in Python, demonstrated superior performance among sub-missions. Furthermore, the study observed that state-of-the-art deep learning methods provided small but statistically significant improvement in predictive performance compared to less elaborate techniques. These findings underscore the utility of variant effect prediction, and the potential for models trained with modest resources to accurately classify VUS in genetic and clinical research.

genetics↗

bioRxiv2024

Modulation of biphasic pattern of cortical reorganization in spinal cord transected rats by external magnetic fields.

Magnetic field induces electric field in the brain and has the potential to modulate cortical plasticity giving rise to sustained excitability as well as behavioral modifications. The present study demonstrates the effect of extremely low frequency magnetic field (ELF-MF) on cortical reorganization after SCI in complete transection rat model. The spinal cord of male albino Wistar rats was completed transected at T-13 spinal level and ELF-MF (50 Hz, 17.96 {micro}T) exposure given either for 5 or 12 or 32 days for temporal observations. A significant functional recovery was evident in locomotor, sensorimotor and motor behavioral tests after 32 days of magnetic field exposure. This was associated with an amelioration in cortical electrical activity, decrease in the lesion area and volume and modulation of plasticity associated proteins like Nogo-A and BDNF in a biphasic pattern. The results suggest improvement of functional, electrical and morphological parameters along with upregulation of plasticity associated proteins in an in-vivo SCI rat model following ELF-MF exposure for 32 days but not after 5, 12 days exposure

neuroscience↗

bioRxiv2024

Putative origin of Myxococcus fulvus 124B02 plasmid, pMF1, from a chromosomal segment in another Myxococcus species

Myxobacteria or order Myxococcales (old nomenclature) or phylum Myxococcota (new terminology) are fascinating organisms well known for their diverse peculiar physiological, taxonomic, and genomic properties. Researchers have long sought to identify plasmids within these organisms, yet thus far, only two organisms from different families have been found to harbor a plasmid. This study delves into the origin and evolution of one of these plasmids, i.e., pMF1 present in M. fulvus 124B02 in the suborder Cystobacterineae and family Myxococcaceae. Here we first reannotated the pMF1 plasmid genome sequence and identified two additional genes which were not annotated till now. We further reported that all pMF1 plasmid genes depict homology with M. stipitatus CYD1 draft genome (contig 28) and a chromosomal segment of M. stipitatus DSM14675 in a syntenic manner, suggesting the presence of plasmid-like structure in M. stipitatus CYD1 but integrated as part of its chromosome. To comprehend the relationship among these three species, we conducted phylogenetic analyses using 16S and concatenated housekeeping genes and GGDC analysis, which confirmed that M. stipitatus CYD1 is a distinct and novel species within the genus Myxococcus. Overall, this study sheds light on the putative origin of the pMF1 plasmid, which likely originated from a closely related yet distinct species, possibly through the partition from its chromosome as a segment. ImportanceMyxobacteria are not well-known to have plasmids. Till now, only two organisms have been shown to have plasmids, raising a pertinent question about how these plasmids evolved randomly within the phylum Myxococcota. The study presented in this manuscript delves into the origin and evolution of the pMF1 plasmid found in Myxococcus fulvus 124B02, a member of the suborder Cystobacterineae and family Myxococcaceae. Our research addresses the intriguing topic of plasmid identification and evolution within Myxobacteria, which are a group of fascinating organisms that have garnered significant interest due to their diverse physiological, taxonomic, and genomic properties.

genomics↗

bioRxiv2024

Ontology-based modeling, integration, and analysis of heterogeneous clinical, pathological, and molecular kidney data for precision medicine

Many resources are now generating, processing, storing, or providing kidney-related molecular, pathological, and clinical data. Reference ontologies offer an opportunity to support knowledge and data organization and integration. The Kidney Precision Medicine Project (KPMP) team contributed to the representation and addition of 329 kidney phenotype terms to the Human Phenotype Ontology (HPO) and identified many subcategories of acute kidney injury (AKI) or chronic kidney disease (CKD). The Kidney Tissue Atlas Ontology (KTAO) imports and integrates kidney-related terms from existing ontologies (e.g., HPO, CL, and Uberon) and represents 259 kidney-related biomarkers. We also developed a precision medicine metadata ontology (PMMO) to integrate 50 variables from KPMP and CellxGene resources and applied PMMO for integrative analysis. The gene expression profiles of kidney gene biomarkers were specifically analyzed in healthy controls or AKI/CKD disease states. This work demonstrates how ontology-based approaches support multi-domain data and knowledge organization and integration to advance precision medicine.

bioinformatics↗

bioRxiv2024

Cellular uptake and viability switch in the properties of lipid-coated carbon quantum dots for potential bioimaging and therapeutics

Carbon quantum dots derived from mango leaves exhibited bright red fluorescence. These negatively charged particles underwent coating with the positively charged lipid molecule N-[1-(2,3-dioleyloxy) propyl]-N,N,N-trimethylammonium chloride (DOTMA). However, the bioconjugate displayed reduced uptake compared to the standalone mQDs in cancer cells (SUM 159A), and increased uptake in the case of epithelial (RPE-1) cells. Upon in vitro testing, the bioconjugate demonstrated a mitigating effect on the individual toxicity of both DOTMA and mQDs in SUM-159A (cancerous cells) and of DOTMA in RPE-1 cells. Conversely, it exhibited a proliferative effect on RPE-1 (epithelial cells). Surface modifications of QDs with lipids thus enhances their compatibility with biological systems, reducing systemic toxicity, minimizing off-site effects, sustaining drug release, and modulating cellular viability through various mechanisms (for example, apoptosis), which is, therefore, crucial for multiple applications such as targeted therapeutics. TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=150 SRC="FIGDIR/small/587464v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@1eca201org.highwire.dtl.DTLVardef@7ff0a3org.highwire.dtl.DTLVardef@18f89b2org.highwire.dtl.DTLVardef@993b42_HPS_FORMAT_FIGEXP M_FIG C_FIG Red emitting, fluorescent carbon quantum dots synthesized using mango leaves(mQDs) showed enhanced cellular uptake and reduced cell viability in the case of cancer cells when compared with lipid-coated mQDs. However, in the case of non-cancerous cells, the lipid-coated mQDs showed enhanced cellular uptake and cell viability when compared with mQDs alone.

bioengineering↗