Biology subjects

Levy, D.

Publications and source records attributed to Levy, D..

At least 37 records · Page 2Linked to original sources

bioRxiv2024

SUMO-mediated regulation of a H3K4me3 reader controls germline development in C. elegans

ULP-2 is a conserved SUMO protease required for embryonic development in C. elegans. Here we revealed that ULP-2 controls germline development by regulating the PHD-SET domain protein, SET-26. Specifically, the ulp-2 mutant hermaphrodites exhibit increased sterility and progressive elevation in global protein sumoylation. In the progeny of homozygous animals, meiosis is arrested at the diplotene stage and the cells in the proximal germline acquire a somatic fate. Germline RNAseq analysis revealed the downregulation of numerous germline genes, whereas somatic gene expression is upregulated in ulp-2 mutant gonads. To determine the key factors that are regulated by ULP-2, we performed a yeast two-hybrid screen and identified the H3K4me3 reader, SET-26. Genetic interaction was observed in double mutant ulp-2;set-26 resulting in enhanced sterility phenotype to complete sterility in the first generation of homozygous offspring. Consistently, SET-26 is sumoylated and its sumoylation levels are regulated by ULP-2. Moreover, we detected reduction in H3K4me3 levels bound to SET-26 in the ulp-2 mutant background. A comparative proteomics screen between WT and ulp-2 loss of activity identified the predicted methyltransferase SET-27 as a ULP-2-dependent SET-26-associated protein. SET-27 knockout genetically interacts with ULP-2 in the germline, but not with SET-26. Taken together, we revealed a ULP-2/SET-26 axis which is required for the maintenance and regulation of germline development.

cell biology↗

bioRxiv2024

Mechanosensitivity of an ABC Membrane Transporter Revealed by Single Molecule FRET and Activity Measurement

While mechanosensitive ion channels gating has been well documented, the effect of membrane mechanics, in particular membrane curvature, on the function of transporters remains elusive. Since conical shape transmembrane proteins locally deform membranes, conversely membrane bending could impact their conformations and their function. We tested this hypothesis using BmrA, a bacterial ABC exporter that exhibits large conformational changes upon ATP hydrolysis, switching between open and closed states with opposite V-shapes. After reconstitution in liposomes of different curvatures, and at two different temperatures, we showed that BmrA ATPase activity decreases by 2.9-fold when their diameter decreases from 125 to 29 nm. Moreover, using single-molecule FRET, we observed that the fraction of closed conformations is reduced in highly curved vesicles when adding ATP or non-hydrolysable AMP-PNP. Our results are well explained by a theoretical 2-states model including the effect of membrane mechanics on protein shape transition. Our work reveals that the functional cycle of conical transporters is curvature sensitive, to an extent depending on protein geometry. Significance StatementBiological membranes actively regulate protein function. While some ion channels are known to sense membrane tension, whether transporters also respond to mechanical cues was unknown. We show that the conical-shaped bacterial exporter BmrA is sensitive to membrane curvature, with both its activity and conformation landscape determined by the surrounding lipid bilayer. This reveals a previously unrecognized mechanism of mechanosensitivity, suggesting that membrane geometry and transporter shape are intrinsically coupled, providing a general principle of regulation across biological systems.

biophysics↗

bioRxiv2023

The Role of Attention in Multi Attribute Decision Making

Real-life decisions typically involve multiple options, each with multiple attributes affecting value. In such complex cases, sequential shifts of attention to specific options and attributes are thought to guide the decision process. We designed a task that allowed us to monitor attention in monkeys engaged in such multi-attribute decisions. We recorded pre-supplementary motor area neurons encoding action value signals reflecting the decision process. Attention guides this process through two mechanisms. First, attention enhances the activity of neurons representing the currently sampled option, independent of the attended option value. Second, attention up-regulates the gain of information integration towards the evolving value estimate for the attended option. In contrast, we found no evidence for a third suggested mechanism, in which only the attended option is represented. Instead, attention influences the ongoing information accumulation and competition between the options by modulating the strength of the value information that drives this circuit.

neuroscience↗

bioRxiv2023

Iterative dispersion update achieves global optimum fitting linear mixed model in genetic associations

The linear mixed model (LMM) has become a standard in genetic association studies to account for population stratification and relatedness in the samples to reduce false positives. Much recent progresses in LMM focused on approximate computations. Exact methods remained computationally demanding and without theoretical assurance. The computation is particularly challenging for multiomics studies where tens of thousands of phenotypes are tested for association with millions of genetic markers. We present IDUL and IDUL{dagger} that use iterative dispersion updates to fit LMMs, where IDUL{dagger} is a modified version of IDUL that guarantees likelihood increase between updates. Practically, IDUL and IDUL{dagger} produced identical results, both are markedly more efficient than the state-of-the-art Newton-Raphson method, and in particular, both are highly efficient for additional phenotypes, making them ideal to study genetic determinants of multiomics phenotypes. Theoretically, the LMM like-lihood is asymptotically uni-modal, and therefore the gradient ascent algorithm IDUL{dagger} is an asymptotically exact method. A software package implementing IDUL and IDUL{dagger} for genetic association studies is freely available at https://github.com/haplotype/IDUL.

bioinformatics↗

bioRxiv2023

Spatial N-glycan rearrangement on α5β1 integrin nucleates galectin-3 oligomers to determine endocytic fate α

Membrane glycoproteins frequently adopt different conformations when altering between active and inactive states. Here, we discover a molecular switch that exploits dynamic spatial rearrangements of N-glycans during such conformational transitions to control protein function. For the conformationally switchable cell adhesion glycoprotein 5{beta}1 integrin, we find that only the bent-closed state arranges N-glycans to nucleate the formation of up to tetrameric oligomers of the glycan-binding protein galectin-3. We propose a structural model of how these galectin-3 oligomers are assembled and how they clamp the bent-closed state to prime it for endocytic uptake and subsequent retrograde trafficking to the Golgi for polarized distribution in cells. Our findings highlight an unexpectedly dynamic regulation of the glycan landscape at the cell surface to achieve oligomerization of galectin-3. Galectin-3 oligomers are thereby identified as decoders of defined spatial patterns of N-glycans and as functional extracellular interactors of specifically the bent- closed conformational state of 5{beta}1 integrin and possibly other family members.

cell biology↗

bioRxiv2023

High-throughput single-nucleus hybrid sequencing reveals genome-transcriptome correlations in cancer

To deepen our understanding of cancer heterogeneity and uncover the dynamic interactions of tumor and host cells, we introduce hybrid BAG-seq: a high-throughput, multi-omic method that simultaneously captures DNA and RNA from tens of thousands of individual single nuclei. This method provides dual molecular layer information: DNA to distinguish tumor from stroma, identify tumor subclones, and detect mutant stromal sub-populations; and RNA to characterize distinct cell types, cell states, and signatures of aberrant expression. Additionally, we developed a suite of analysis tools to illuminate cluster phylogeny and connections between DNA identity and RNA expression. We applied this hybrid protocol to 65,499 single nuclei from samples of five uterine cancer patients, and validated the clustering using RNA-only and DNA-only protocols on 34,651 and 21,432 nuclei, respectively, from the same tissues. Multiple tumor genome or expression clusters were often present within a patient, with different tumor clones projecting into distinct or shared expression states, demonstrating nearly all possible genome-transcriptome correlations across the cohort. While tumor expression profiles were highly unique to each patient, the stromal cell types generally recurred across samples, but certain patients and tissues exhibited unique stromal sub-types characterized by aberrant expression. Moreover, we identified mutant stroma in various cell types from several patients with a significant loss of the X-chromosome. This study reveals the complex landscape of genome and transcriptome interactions at the resolution of single nuclei, providing new insights into mutant stroma and tumor heterogeneity.

genomics↗

bioRxiv2023

Estimation of inbreeding and kinship coefficients via latent identity-by-descent states

Estimating the individual inbreeding coefficient and pairwise kinship is an important problem in human genetics (e.g., in disease mapping) and in animal and plant genetics (e.g., inbreeding design). Existing methods such as sample correlation-based genetic relationship matrix, KING, and UKin are either biased, or not able to estimate inbreeding coefficients, or produce a large proportion of negative estimates that are difficult to interpret. This limitation of existing methods is partly due to failure to explicitly model inbreeding. Since all humans are inbred to various degrees by virtue of shared ancestries, it is prudent to account for inbreeding when inferring kinship between individuals. We present "Kindred", an approach that estimates inbreeding and kinship by modeling latent identity-by-descent states that accounts for all possible allele sharing - including inbreeding - between two individuals. Through simulation, we demonstrate the high accuracy and, more importantly, non-negativity of kinship estimates by Kindred. By selecting a subset of SNPs that are similar in allele frequencies across different populations, Kindred can accurately estimate kinship between admixed samples. Finally, we demonstrate that the realized kinship matrix estimated by Kindred is effective in reducing genomic control values via linear mixed model in genome-wide association studies, and it also produces sensible heritability estimates. Kindred is freely available at http://www.haplotype.org.

bioinformatics↗

bioRxiv2023

Cortical spreading depolarization drives sensitization of meningeal afferents to locomotion-related meningeal deformations.

Migraine headache is hypothesized to involve the activation and sensitization of trigeminal sensory afferents that innervate the cranial meninges. To better understand migraine pathophysiology and improve clinical translation, we used two-photon calcium imaging via a closed cranial window in awake mice to investigate changes in the responses of meningeal afferent fibers using a preclinical model of migraine involving cortical spreading depolarization (CSD). A single CSD episode caused a seconds-long wave of calcium activation that propagated across afferents and along the length of individual afferents. Surprisingly, unlike previous studies in anesthetized animals with exposed meninges, only a very small afferent population was persistently activated in our awake mouse preparation, questioning the relevance of this neuronal response to the onset of migraine pain. In contrast, we identified a larger subset of meningeal afferents that developed augmented responses to acute three-dimensional meningeal deformations that occur in response to locomotion bouts. We observed increased responsiveness in a subset of afferents that were already somewhat sensitive to meningeal deformation before CSD. Furthermore, another subset of previously insensitive afferents also became sensitive to meningeal deformation following CSD. Our data provides new insights into the mechanisms underlying migraine, including the emergence of enhanced meningeal afferent responses to movement-related meningeal deformations as a potential neural substrate underlying the worsening of migraine headache during physical activity.

neuroscience↗

bioRxiv2023

How Myosin VI Traps its Off-State, is Activated and Dimerizes

Myosin VI (Myo6) is the only minus-end directed nanomotor on actin, allowing it to uniquely contribute to numerous cellular functions. As for other nanomotors, proper functioning of Myo6 relies on precise spatio-temporal control of motor activity via a poorly defined off-state and interactions with partners. Our structural, functional, and cellular studies reveal key features of myosin regulation and indicate that not all partners can activate Myo6. TOM1 and Dab2 cannot bind the off-state while, GIPC1 binds Myo6, releases its auto-inhibition and triggers proximal dimerization. Myo6 partners thus differentially recruit Myo6. We solved a crystal structure of the proximal dimerization domain, and show that its disruption compromises endocytosis in HeLa cells, emphasizing the importance of Myo6 dimerization. Finally, we show that the L926Q deafness mutation disrupts Myo6 auto-inhibition and indirectly impairs proximal dimerization. Our study thus demonstrates the importance of partners in the control of Myo6 auto-inhibition, localization, and activation.

biochemistry↗

bioRxiv2023

E2F1 methylation by SETD6 regulates SETD6 expression via positive feedback mechanism

The protein lysine methyltransferase SETD6 has been shown to influence different cellular activities and are critically involved in the regulation of diverse developmental and pathological processes. However, the upstream signal which regulates the mRNA expression of SETD6 is not known. Bioinformatics analysis revealed that SETD6 promoter has a binding site for the transcription factor E2F1. Using various experimental systems, we confirmed that E2F1 binds to the SETD6 promoter and regulates SETD6 mRNA expression. Our further observation that this phenomenon is SETD6 dependent, suggested that SETD6 and E2F1 are linked. We next demonstrate that SETD6 mono-methylates E2F1 specifically at K117 in-vitro and in cells. Finally, we show that E2F1 methylation at K117 positively regulates the expression level of SETD6 mRNA. Depletion of SETD6 or overexpression of E2F1 K117R mutant which canot be methylated by SETD6, reverses the effect. Taken together, our data provide evidence for a positive feedback mechanism which regulates the expression of SETD6 by E2F1 in a SETD6 methylation dependent manner and highlight the importance of protein lysine methyltransferases and lysine methylation signaling in the regulation of gene transcription.

molecular biology↗

bioRxiv2023

From Microstates to Macrostates in the Conformational Dynamics of GroEL: a Single-Molecule FRET Study

The chaperonin GroEL is a multi-subunit molecular machine that assists in protein folding in the E. coli cytosol. Past studies have shown that GroEL undergoes large allosteric conformational changes during its reaction cycle. However, a measurement of subunit dynamics and their relation to the allosteric cycle of GroEL has been missing. Here, we report single-molecule FRET measurements that directly probe the conformational transitions of one subunit within GroEL and its single-ring variant under equilibrium conditions. We find that four microstates span the conformational manifold of the protein and interconvert on the submillisecond time scale. A unique set of relative populations of these microstates, termed a macrostate, is obtained by varying solution conditions, e.g., adding different nucleotides or the co-chaperone GroES. Strikingly, ATP titration studies demonstrate that the partition between the apo and ATP-liganded conformational macrostates traces a sigmoidal response with a Hill coefficient similar to that obtained in bulk experiments of ATP hydrolysis, confirming the essential role of the observed dynamics in the function of GroEL. Significance StatementGroEL is a large protein-folding machine whose activity is accompanied by considerable conformational motions. Here, we use single-molecule FRET spectroscopy in combination with photon-by-photon statistical analysis to characterize the motions of a single GroEL subunit in real time and in the presence of ADP, ATP, and the co-chaperone GroES. Our results reveal transitions between four conformations on a timescale much faster than the functional cycle. We show that the motions of an individual subunit are directly coupled to the concerted allosteric mechanism of GroEL. This work, therefore, further demonstrates the impact of fast conformational dynamics on the biochemical function of molecular machines.

biophysics↗

bioRxiv2023

Induced pluripotent stem cell-derived extracellular vesicles promote wound repair in a diabetic mouse model via an anti-inflammatory immunomodulatory mechanism

Extracellular vesicles (EVs) derived from mesenchymal stem/stromal cells (MSCs) have recently been widely explored in clinical trials for treatment of diseases with complex pathophysiology. However, production of MSC EVs is currently hampered by donor-specific characteristics and limited ex vivo expansion capabilities before decreased potency, thus restricting their potential as a scalable and reproducible therapeutic. Induced pluripotent stem cells (iPSCs) represent a self-renewing source for obtaining differentiated iPSC-derived MSCs (iMSCs), circumventing both scalability and donor variability concerns for therapeutic EV production. Thus, we initially sought to evaluate the therapeutic potential of iMSC EVs. Interestingly, while utilizing undifferentiated iPSC EVs as a control, we found that their vascularization bioactivity was similar and their anti-inflammatory bioactivity was superior to donor-matched iMSC EVs in cell-based assays. To supplement this initial in vitro bioactivity screen, we employed a diabetic wound healing mouse model where both the pro-vascularization and anti-inflammatory activity of these EVs would be beneficial. In this in vivo model, iPSC EVs more effectively mediated inflammation resolution within the wound bed. Combined with the lack of additional differentiation steps required for iMSC generation, these results support the use of undifferentiated iPSCs as a source for therapeutic EV production with respect to both scalability and efficacy.

bioengineering↗

bioRxiv2023

Differentiation state and culture conditions impact neural stem/progenitor cell-derived extracellular vesicle bioactivity

Extracellular vesicles (EVs) derived from neural progenitor/stem cells (NPSCs) have shown promising efficacy in a variety of preclinical models. However, NPSCs lack critical neuroregenerative functionality such as myelinating capacity. Further, culture conditions used in NPSC EV production lack standardization and identification of optimal conditions for NPSC EV neurogenic bioactivity. Here, we assessed whether further differentiated oligodendrocyte precursor cells (OPCs) and immature oligodendrocytes (iOLs) that give rise to mature myelinating oligodendrocytes could yield EVs with neurotherapeutic properties comparable or superior to those from NPSCs as well as mesenchymal stromal cells (MSCs), as MSC EVs are also commonly reported to have neurotherapeutic activity. We additionally examined the effects of four different extracellular matrix (ECM) coating materials (laminin, fibronectin, Matrigel, and collagen IV) and the presence or absence of growth factors (EGF, bFGF, and NGF) in cell culture on the ultimate properties of EVs. The data show that OPC EVs and iOL EVs performed similarly to NPSC EVs in PC-12 proliferation and RAW264.7 mouse macrophage antiinflammatory assays, but NPSC EVs performed better in a PC-12 neurite outgrowth assay. Additionally, the presence of nerve growth factor (NGF) in culture was found to be maximize NPSC EV bioactivity among the conditions tested. NPSC EVs produced under rationally-selected culture conditions (fibronectin + NGF) enhanced axonal regeneration and muscle reinnervation in a rat nerve crush injury model. These results highlight the impact of culture conditions on NPSC EV neuroregenerative bioactivity, thus providing additional rationale for standardization and optimization of culture conditions for NPSC EV production. Table of Contents O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=35 SRC="FIGDIR/small/528366v1_ufig1.gif" ALT="Figure 1"> View larger version (13K): org.highwire.dtl.DTLVardef@447d23org.highwire.dtl.DTLVardef@73a5cborg.highwire.dtl.DTLVardef@89dbb0org.highwire.dtl.DTLVardef@b62d39_HPS_FORMAT_FIGEXP M_FIG C_FIG Extracellular vesicles (EVs) purified from neural progenitor/stem cells (NPSCs) have been investigated for neurotherapeutic activity, however significant variability in culture conditions limits reproducibility and efficacy of this approach. Here, we examined the impact of extracellular matrix (ECM) components and growth factors in NPSC culture on the bioactivity on the bioactivity of their EVs. The results show that EVs from NPSCs cultured with a rationally-selected ECM type (fibronectin) and growth factor (nerve growth factor (NGF)) enhanced nerve regeneration and muscle recovery in a rat sciatic nerve crush injury model.

bioengineering↗

bioRxiv2023

P2X7 signaling mediates migraine-related augmentation of meningeal afferent mechanosensitivity

Cortical spreading depolarization (CSD) is a key pathophysiological event that underlies visual and sensory auras in migraine. CSD is also thought to drive the headache phase in migraine by promoting the activation and mechanical sensitization of trigeminal primary afferent nociceptive neurons that innervate the cranial meninges. The factors underlying meningeal nociception in the wake of CSD remain poorly understood but potentially involve the parenchymal release of algesic mediators and damage-associated molecular patterns, particularly ATP. Here, we explored the role of ATP-P2X purinergic receptor signaling in mediating CSD-evoked meningeal afferent activation and mechanical sensitization. Male rats were subjected to a single CSD episode. In vivo, extracellular single-unit recording was used to measure meningeal afferent ongoing activity changes. Quantitative mechanical stimuli using a servomotor force-controlled stimulator assessed changes in the afferents mechanosensitivity. Manipulation of meningeal P2X receptors was achieved via local administration of pharmacological agents. Broad-spectrum P2X receptor inhibition, selective blockade of the P2X7 receptor, and its related pannexin 1 channel suppressed CSD-evoked afferent mechanical sensitization but did not affect the accompanying afferent activation response. Surprisingly, inhibition of the pronociceptive P2X2/3 receptor did not affect the activation or sensitization of meningeal afferents post-CSD. P2X7 signaling underlying afferent mechanosensitization was localized to the meninges and did not affect CSD susceptibility. We propose that meningeal P2X7 and Pannexin 1 signaling, potentially in meningeal macrophages or neutrophils, mediates the mechanical sensitization of meningeal afferents, which contributes to migraine pain by exacerbating the headache during normally innocuous physical activities. Significance StatementActivation and sensitization of meningeal afferents play a key role in migraine headache, but the underlying mechanisms remain unclear. Here, using a rat model of migraine with aura involving cortical spreading depolarization (CSD), we demonstrate that meningeal purinergic P2X7 signaling and its related Pannexin 1 pore, but not nociceptive P2X2/3 receptors, mediate prolonged meningeal afferent sensitization. Additionally, we show that meningeal P2X signaling does not contribute to the increased afferent ongoing activity in the wake of CSD. Our finding points to meningeal P2X7 signaling as a critical mechanism underlying meningeal nociception in migraine, the presence of distinct mechanisms underlying the activation and sensitization of meningeal afferents in migraine, and highlight the need to target both processes for effective migraine therapy.

neuroscience↗

bioRxiv2022

Allosteric communication between ligand binding domains modulates substrate inhibition in adenylate kinase

Enzymes play a vital role in life processes; they control chemical reactions and allow functional cycles to be synchronized. Many enzymes harness large-scale motions of their domains to achieve tremendous catalytic prowess and high selectivity for specific substrates. One outstanding example is provided by the three-domain enzyme adenylate kinase (AK), which catalyzes phosphotransfer between ATP to AMP. Here we study the phenomenon of substrate inhibition by AMP and its correlation with domain motions. Using single-molecule FRET spectroscopy, we show that AMP does not block access to the ATP binding site, neither by competitive binding to the ATP cognate site nor by directly closing the LID domain. Instead, inhibitory concentrations of AMP lead to a faster and more cooperative domain closure by ATP, leading in turn to an increased population of the closed state. The effect of AMP binding can be modulated through mutations throughout the structure of the enzyme, as shown by the screening of an extensive AK mutant library. Mutation of multiple conserved residues leads to increased substrate inhibition, suggesting a positive selection during evolution. Combining these insights, we developed a model that explains the complex activity of AK, particularly substrate inhibition, based on the experimentally observed opening and closing rates. Notably, the model indicates that the catalytic power is affected by the microsecond balance between the open and closed states of the enzyme. Our findings highlight the crucial role of protein motions in enzymatic activity. Significance StatementHow conformational dynamics affect the catalytic activity of enzymes remains a topic of active debate. We focus here on the domain closure dynamics of adenylate kinase (AK) and how they are affected by substrate inhibition. By screening an extensive mutant library, we show that this feature of the enzyme is well conserved in evolution. Importantly, domain closure is required in order to bring AKs substrates close together for their chemical reaction; single-molecule FRET studies directly measure the populations of the open and closed states. We find that overpopulation of the closed state can be detrimental to activity. The results allow us to develop a kinetic model that properly accounts for AK kinetics by combining conformational dynamics and biochemical steps.

biophysics↗

bioRxiv2022

Mesenchymal stem cell culture within perfusion bioreactors incorporating 3D-printed scaffolds enables improved extracellular vesicle yield with preserved bioactivity

Extracellular vesicles (EVs) are implicated as promising therapeutics and drug delivery vehicles in various diseases. However, successful clinical translation will depend on development of scalable biomanufacturing approaches, especially due to the documented low levels of intrinsic EV-associated cargo that may necessitate repeated doses to achieve clinical benefit in certain applications. Thus, here we assessed effects of a 3D-printed scaffold-perfusion bioreactor system on the production and bioactivity of EVs secreted from bone marrow-derived mesenchymal stem cells (MSCs), a cell type heavily implicated in generating EVs with therapeutic potential. Our results indicate that perfusion bioreactor culture results in an ~40-80-fold increase, depending on measurement method, in MSC EV production compared to conventional cell culture. Additionally, we demonstrated that MSC EVs generated using the bioreactor system significantly improved wound healing in a diabetic mouse model, with increased CD31+ staining in wound bed tissue compared to animals treated with flask cell culture-generated MSC EVs. Overall, this study establishes a promising solution to major EV translational issues (i.e., scalability and low potency) with potential for adaptation to various EV-based therapeutics and capacity for improvement alongside the continuous advancements in 3D-printing technologies.

bioengineering↗

bioRxiv2022

Heteroplasmic Mitochondrial Genetic Variation in the Human Heart

Whether heteroplasmic mitochondrial genetic variants in readily accessible tissues (blood, skeletal muscle) reflect those in the human heart (atrial appendage, left ventricle) is unknown. Using next generation sequencing data from paired tissue samples (n=233) collected postmortem in the Genotype-Tissue Expression project, we identified 558 unique heteroplasmic mitochondrial genetic variants across the four tissues, of which only 13% were shared across all four tissue sites. Between the two cardiac sites, 61% of heteroplasmic mitochondrial genetic variants were unique to one site. A greater proportion of the heteroplasmic variants were non-synonymous or frameshift variants in the muscle sites compared to blood or those variants shared across all four tissues. Compared to blood, the total number of heteroplasmic variants was higher in cardiac tissue, which was associated with advancing age. Our findings suggest that human cardiac tissue has unique heteroplasmic mtDNA variants and may be relevant to aging-related diseases.

genetics↗

bioRxiv2022

Combinatorial microRNA loading into extracellular vesicles for anti-inflammatory therapy

Extracellular vesicles (EVs) have emerged as promising therapeutic entities in part due to their potential to regulate multiple signaling pathways in target cells. This potential is derived from the broad array of constituent and/or cargo molecules associated with EVs. Among these, microRNAs (miRNAs) are commonly implicated as important and have been associated with a wide variety of EV-induced biological phenomena. While controlled loading of single miRNAs is a well-documented approach for enhancing EV bioactivity, loading of multiple miRNAs has not been fully leveraged to maximize the potential of EV-based therapies. Here, an established approach to extrinsic nucleic acid loading of EVs, sonication, was utilized to enable controlled loading of multiple miRNAs in HEK293T EVs. Combinations of carefully chosen miRNAs were compared to single miRNAs with respect to anti-inflammatory outcomes in assays of increasing stringency, with the combination of miR-146a, miR-155, and miR-223 found to have the most potential amongst tested groups.

bioengineering↗