Biology subjects

Wu, H.

Publications and source records attributed to Wu, H..

At least 343 records · Page 19Linked to original sources

bioRxiv2022

Identifying Patients with Cognitive Motor Dissociation Using Resting-state Temporal Stability

BackgroundUsing task-dependent neuroimaging techniques, recent studies discovered a fraction of patients with disorders of consciousness (DOC) who had no command-following behaviors but showed a clear sign of awareness, which was defined as cognitive motor dissociation (CMD). Although many efforts were made to identify the CMD, existing task-dependent approaches might fail when patients had multiple cognitive function (e.g., attention, memory) impairments, and thus lead to false-negative findings. However, recent advances in resting-state fMRI (rs-fMRI) analysis allow investigation of the dynamic change of spontaneous brain activity, which might be a powerful tool to test the patients cognitive functions, while its capacity in identifying CMD was unclear. MethodsThe rs-fMRI study included 119 participants from three independent research sites. A sliding-window approach was used to investigate the dynamic functional connectivity of the brain in two aspects: the global and regional temporal stability, which measures how stable the brain functional architecture is across time. The temporal stability was compared in the first dataset (36/16 DOC/controls), and then a Support Vector Machine (SVM) classifier was built to discriminate DOC patients from controls. Furthermore, the generalizability of the SVM classifier was tested in the second independent dataset (35/21 DOC/controls). Finally, the SVM classifier was applied to the third independent dataset where patients underwent an rs-fMRI and brain-computer interface assessment (4/7 CMD/potential non-CMD), to test its performance in identifying CMD. ResultsOur results showed that the global and regional temporal stability were impaired in DOC patients, especially in regions from the cingulo-opercular task control, default mode, fronto-parietal task control, and salience network. Using the temporal stability as features, the SVM model not only showed a good performance in the first dataset (accuracy = 90 %), but a good generalizability in the second dataset (accuracy = 82 %). Most importantly, the SVM model generalized well in identifying CMD in the third dataset (accuracy = 91 %). ConclusionThe current findings suggested that rs-fMRI could be a potential tool to assist in diagnosing CMD. Furthermore, the temporal stability investigated in this study also contributed to a deeper understanding of the neural mechanism of the consciousness.

neuroscience↗

bioRxiv2022

Herb-paths, a network and statistical model to explore health-beneficial effects of herbs and herbal constituents

Predictions on bioactivities of herbs and herbal compounds could greatly aid drug development, but require integration of available information on herb and compound effects from various databases. We present Herb-paths, an integrated network connecting information on health-beneficial effects of herbs and herbal constituents. The statistical models included in Herb-paths allow for the calculation of the association strength of herbal (constituents) with health-beneficial effects, for both known and novel effects, and give insight into the major bioactive compounds and molecular mechanisms driving the effects. Herb-paths predictions were tested and validated using a case-study of Panax notoginseng and its derived medicinal extract of Panaxatriol saponins (PTS), used in traditional Chinese medicine to treat stroke and other cardiovascular and cerebrovascular thromboembolic (CCT) disorders. Results showed that Herb-paths predicted known and novel associations between PTS/Notoginseng and CCT phenotypes and diseases, including stroke. Predicted novel associations, such as MoyaMoya disease, are promising putative leads for treatment with PTS/Notoginseng, to be tested in further studies.

bioinformatics↗

bioRxiv2022

The Molecular and Evolutionary Principles of Histone Folding in Eukarya and Archaea

Histones are the dominant proteins to compact and store DNA in both Eukarya and Archaea. For a long time, histones are observed to exist in the unit of dimers but diverge into different formats such as heterodimers in Eukarya or homodimers in Archaea. Here, by studying 11 types of histone proteins, both monomers and their dimeric complexes, using multiscale molecular dynamics (MD) simulations combined with NMR and circular dichroism experiments, we confirm the widely applied "folding upon binding" mechanism of histone structures. A histone dimer appears to form the longest 2 helices followed by other shorter helices and inter-molecular tertiary structures. We report an alternative conformation, namely, the inverted non-native dimer, which has a minimum free energy state. Protein sequence analysis indicates that the inverted conformation can be attributed to a hidden head-tail sequence symmetry underlying all histone proteins. This finding strongly support previously proposed histone evolution hypotheses. Finally, we separately used the MD-based AWSEM and AI-based AlphaFold-Multimer model to predict eukaryotic histone homodimer structures and performed extensive allatom MD simulations to examine their structural stabilities. Our results suggest that eukaryotic histones can also form stable homodimers, whereas their disordered tails-- the structurally asymmetrical region--may tip the balance towards the formation of heterotypic dimers.

biophysics↗

bioRxiv2022

Smooth Muscle Myosin 2 Filaments Dynamically Assemble and Stabilize During Induced Contractility

BackgroundVascular smooth muscle cells (SMCs) dynamically tune blood vessel diameter to regulate blood pressure, provide vessel wall structural integrity, and absorb shock on a beat-to-beat timescale. Smooth muscle myosin 2 (SMII) is the dominant motor protein driving SMC contraction. To function, SMII monomers dynamically assemble into filaments, which associate with the actin cytoskeleton to drive contractility. Precisely how SMII filaments assemble and exchange in living SMCs, however, both at steady-state and during induced contractility, remains poorly defined. MethodsWe used a single-cell filament assembly assay to determine SMII assembly into filaments at steady-state and upon induced contractility in rat aortic SMCs (A7R5) transiently-expressing EGFP-tagged SM1A isoform of SMII. We then used fluorescence recovery after photobleaching (FRAP) to characterize SMII exchange kinetics at steady-state and upon induced contractility, and measured changes in force production using traction force microscopy. Finally, we developed a CRISPR knock-in EGFP-SMII murine model to quantify SMII dynamics at endogenous expression in primary SMCs and intact arterioles. ResultsWhile predominantly filamentous at baseline, induced contraction rapidly increased SMII filament assembly. FRAP revealed rapid SMII exchange kinetics, more similar to non-muscle myosin II than striated myosin II, and induced contractility consistently stabilized SMII filaments. Super-resolution imaging revealed SMII and non-muscle myosin II filament structures consistent with co-assembly. Endogenous EGFP-SMII in primary SMCs and intact arterioles paralleled cell culture studies with similar baseline exchange kinetics and activation-dependent stabilization. ConclusionsTogether, these data support a model in which SMII is surprisingly dynamic and co-assembles with non-muscle myosin II. Vascular SMC activation further increases SMII filament assembly while reducing filament exchange, consistent with stabilization of a dynamic SMII pool during force generation, which allows cells to dynamically adapt their overall contractility in response to environmental conditions. CLINICAL IMPLICATIONSSmooth muscle myosin II (SMII) is the principal contractile motor protein of vascular smooth muscle tissue, but its molecular behavior in living differentiated SMCs remains poorly defined. Here, we show that SMII is not a static contractile scaffold but highly dynamic. SMII exhibits dynamic exchange between the filament and monomeric forms at baseline, but becomes acutely stabilized during agonist-induced contraction, including in primary SMCs and intact arterioles at endogenous Myh11 expression. These findings suggest that vascular tone is tuned not only by activating pre-existing myosin filaments, but also by rapidly shifting SMII filament assembly levels and exchange rates. This framework is relevant to diseases in which SMC contractility and arterial wall mechanics are abnormal, including MYH11-associated thoracic aortic disease and related disorders of arterial stiffness or maladaptive vasomotor regulation. Although this study is mechanistic, it identifies SMII filament dynamics as a measurable layer of vascular regulation and a potential readout for future studies of pathogenic MYH11 variants, disease modeling, and therapies that alter myosin activation and/or cytoskeletal stability. O_FIG O_LINKSMALLFIG WIDTH=192 HEIGHT=200 SRC="FIGDIR/small/511341v2_ufig1.gif" ALT="Figure 1"> View larger version (78K): org.highwire.dtl.DTLVardef@d64a8forg.highwire.dtl.DTLVardef@b9000corg.highwire.dtl.DTLVardef@1b24a91org.highwire.dtl.DTLVardef@3d81be_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2022

Genealogical inference and more flexible sequence clustering using iterative PopPUNK

Bacterial genome data are accumulating at an unprecedented speed due the routine use of sequencing in clinical diagnoses, public health surveillance and population genetics studies. Genealogical reconstruction is fundamental to many of these uses, however, inferring genealogy from large-scale genome datasets quickly, accurately, and flexibly is still a challenge. Here, we extend an alignment- and annotation-free method, PopPUNK, to increase its flexibility and interpretability across datasets. Our method, iterative-PopPUNK, rapidly produces multiple consistent cluster assignments across a range of sequence identities. By constructing a partially resolved genealogical tree with respect to these clusters, users can select a resolution most appropriate for their needs. We demonstrated the accuracy of clusters at all levels of similarity and genealogical inference of iterative-PopPUNK based on simulated data and obtained phylogenetically-concordant results in real datasets from seven bacterial species. Using two example sets of Escherichia/Shigella genomes and Vibrio parahaemolyticus genomes we show that iterative-PopPUNK can achieve cluster resolutions ranging from phylogroup down to sequence typing (ST). The iterative-PopPUNK algorithm is implemented in the PopPUNK_iterate program, available as part of PopPUNK package.

bioinformatics↗

bioRxiv2022

Heterosynaptic Plasticity of the Visuo-auditory Projection Requires Cholecystokinin released from Entorhinal Cortex Afferents

The entorhinal cortex is involved in establishing enduring visuo-auditory associative memory in the neocortex. Here we explored the mechanisms underlying this synaptic plasticity related to projections from the visual and entorhinal cortices to the auditory cortex, using optogenetics of dual pathways. High-frequency laser stimulation (HFLS) of the visuo-auditory projection did not induce long-term potentiation (LTP). However, after pairing with sound stimulus, the visuo-auditory inputs were potentiated following either infusion of cholecystokinin (CCK) or HFLS of the entorhino-auditory CCK-expressing projection. Combining retrograde tracing and RNAscope in situ hybridization, we show that CCK expression is higher in entorhinal cortex neurons projecting to the auditory cortex than in those originating from the visual cortex. In the presence of CCK, potentiation in the neocortex occurred when the pre-synaptic input arrived 200 ms before post-synaptic firing, even after just five trials of pairing. Behaviorally, inhibition of CCK signaling blocked the generation of associative memory. Our results indicate that neocortical visuo-auditory association is formed through heterosynaptic plasticity, which depends on release of CCK in the neocortex mostly from entorhinal afferents.

neuroscience↗

bioRxiv2022

A special satellite-like dsRNA of a novel hypovirus from Pestalotiopsis fici broadens the definition of satellite

Satellites associated with plant or animal viruses have been largely detected and characterized, while those from mycoviruses together with their roles remain far less determined. Three dsRNA segments (dsRNA 1 to 3 termed according to their decreasing sizes) were identified in a strain of phytopathogenic fungus Pestalotiopsis fici AH1-1 isolated from a tea leaf. The complete sequences of dsRNAs 1 to 3, with the sizes of 10316, 5511, and 631 bp, were determined by random cloning together with a RACE protocol. Sequence analyses support that dsRNA1 is a genome of a novel hypovirus belonging to a newly proposed genus "Alphahypovirus" of the family Hypoviridae, tentatively named Pestalotiopsis fici hypovirus 1 (PfHV1); dsRNA2 is a defective RNA (D-RNA) generating from dsRNA1 with septal deletions; and dsRNA3 is the satellite component of PfHV1 since it could be co-precipitated with other dsRNA components in the same sucrose fraction by ultra-centrifuge, suggesting that it is encapsulated together with PfHV1 genomic dsRNAs. Moreover, dsRNA3 shares an identical stretch (170 bp) with dsRNAs 1 and 2 at their 5' termini and the remaining is heterogenous, which is distinct from a typical satellite that generally has very little or no sequence similarity with helper viruses. More importantly, dsRNA3 lacks a substantial open reading frame (ORF) and a poly (A) tail, which is unlike the known satellite dsRNAs of hypoviruses, as well as unlike those in association with Totiviridae and Partitiviridae since the latters are encapsidated in coat proteins. As up-regulated expression of dsRNA3, dsRNA1 was significantly down-regulated, suggesting that dsRNA3 negatively regulates the expression of dsRNA1, whereas dsRNAs 1 to 3 have no obvious impact on the biological traits of the host fungus including morphologies and virulence. This study indicates that PfHV1 dsRNA3 is a special type of satellite-like nucleic acid that has substantial sequence homology with the host viral genome without encapsidation in a coat protein, which broadens the definition of satellite. IMPORTANCESatellites in association with plant or animal viruses have been largely detected and characterized, while those from mycoviruses together with their roles remain far less determined. Here, a special satellite-like dsRNA (SatL-dsRNA) together with its helper virus, a novel hypovirus from Pestalotiopsis fici, was identified and characterized. This SatL-dsRNA lacks a substantial open reading frame and a poly (A) tail, which is unlike the known satellite dsRNAs of hypoviruses. It is also unlike those in association with Totiviridae and Partitiviridae since the latters are encapsidated in coat proteins. As up-regulated expression of the SatL-dsRNA, the helper virus genome was significantly down-regulated, suggesting that it negatively regulates the genomic expression of the helper virus. This special SatL-dsRNA has substantial sequence homology with the host viral genome and is not encapsidated in the coat protein of its helper virus, which represents a novel class of satellite-like nucleic acids, and it broadens the definition of satellite.

microbiology↗

bioRxiv2022

HDAC7 controls anti-viral and anti-tumor immunity by CD8+ T cells

Class II histone deacetylases (HDAC) orchestrate T cell-dependent immune responses via the epigenetic control of genes and via the post-translational modification of cytoplasmic and nuclear proteins. However, the contribution of single HDAC family members to the differentiation and function of peripheral CD8+ T cells remains elusive. We here demonstrate that HDAC7-deficiency leads to the upregulation of immune checkpoint molecules, decreased calcium influx as well as increased apoptosis of peripheral murine CD8+ T cells, which we could link to a MEF2D-dependent induction of FasL expression ultimately deterring the survival of HDAC7-deficient CD8+ T cells. Likewise, we observed in mouse models of lymphoma, that mice with a T cell specific-deletion of Hdac7 harbor impaired anti-tumor immune responses in syngeneic transfer models of lymphoma and we found that HDAC7 is required for CD8+ T cell-dependent memory recall responses in models of lymphocytic choriomeningitis virus infection. Taken together, we identify HDAC7 as a central regulator of cellular exhaustion and apoptosis of peripheral CD8+ T cells, controlling CD8+ T cell dependent anti-tumor and anti-viral immunity in mice. SignificanceAlthough HDAC7 was identified as an important regulator of thymocyte development and survival, its role in the homeostasis and the functions of adult CD8+ T cells is not fully understood. Here, we identify HDAC7 as a critical regulator of peripheral CD8+ T cells since its deletion impairs anti-tumor and anti-viral immune responses in mouse models of LCMV infection and transfer models of lymphoma. We attribute this phenotype to impaired survival, calcium homeostasis as well as deterred memory function and increased exhaustion of HDAC7-deficient CD8+ T cells. Our findings are of clinical relevance regarding potential immune suppressive side effects of HDAC inhibitors that are currently under clinical trials for the treatment of autoimmune diseases and cancers.

immunology↗

bioRxiv2022

Sialidases and Fucosidases of Akkermansia muciniphila are crucial for growth on mucin and nutrient sharing with mucus-associated gut bacteria

The gut mucolytic specialist Akkermansia muciniphila is strongly associated with the integrity of the mucus layer. Mucin glycan utilization requires the removal of diverse protective caps, notably, fucose and sialic acid, but the enzymatic details of this process remain largely unknown. Here, we describe the specificities of ten A. muciniphila glycoside hydrolases, which collectively remove all known sialyl and fucosyl mucin caps including those with double sulphated epitopes. Structural analyses revealed an unprecedented fucosidase modular arrangement and explained the exclusive sialyl T-antigen specificity of a sialidase of a previously unknown family and catalytic apparatus. Key cell attached sialidases and fucosidases conferred mucin-binding and their inhibition abolished growth of A. muciniphila on mucin. Remarkably, the sialic acid fucose did not contribute to A. muciniphila growth, but instead promoted butyrate production by co-cultured Clostridia. This study brings unique mechanistic insight into the initiation of mucin O-glycan degradation by A. muciniphila and the nutrient sharing between key mucus-associated bacteria.

biochemistry↗

bioRxiv2022

Optimization of universal primer set for the identification of all Influenza A viruses using real-time PCR

Avian Influenza Virus (AIV) occurs worldwide among aquatic wild and may mutate into a strain capable of efficient human-to-human transmission and cause a pandemic that could kill a large fraction of the human population. The purpose of this study is to efficiently identify and diagnose the virus for immediate treatment and prevention. Real-Time Reverse Transcription-Polymerase Chain Reaction (RRT-PCR or qPCR) was identified as the most efficient way to detect AIV in previous laboratory research, however only one pair of primers was used. In order to further optimize the test and make it commercially available in the future, we first tested an eight pair primer set via RRT-PCR by using standard AIV isolates from Dr.Gaimbrones lab (Auburn University). Using the AIV isolates, the optimal cDNA and primer concentrations were determined, this aided in the identification of the most sensitive primer set. Primers PA, HA, NP, and NA were able to detect the cDNA of positive AIV isolates at a low concentration of 0.0039 mg/ml. AIV cDNA were detected by primers M and HA at its lowest concentration of 0.0001 and 0.01 pmol/l. In order to further test our lab results, 20 fecal samples from aquatic wild birds were collected from Alabama Shakespeare Park located in Montgomery, Alabama during the winter season. The samples were analyzed using RRT-PCR. HA primer set detected 10 positive samples for Avian Influenza and is the most sensitive primer set to be used in RRT-PCR. The field sample detection confirmed laboratory results and revealed that local aquatic birds are actively shedding low pathogenic avian influenza virus(LPAIV). The optimization of all primer sets used in this study will aid in disease surveillance, facilitate quick diagnosis of Influenza A viruses, and implement an effective prevention of flu pandemic.

microbiology↗

bioRxiv2022

Structural principles of B-cell antigen receptor assembly

The B-cell antigen receptor (BCR) is composed of a membrane-bound immunoglobulin (mIg) of class M, D, G, A or E for antigen recognition and a disulfide-linked heterodimer between Ig and Ig{beta} (Ig/{beta}, also known as CD79A and CD79B) that functions as the signalling entity. The organizing principle of BCR assembly remains elusive. Here we report the cryo-electron microscopy structures of the intact IgM class BCR at 8.2 [A] resolution and its Fab-deleted form (IgM BCR{Delta}Fab) at 3.6 [A] resolution. At the ectodomain (ECD), Ig and Ig{beta} position their respective Ig folds roughly in parallel with an approximate 2-fold symmetry, which is distinct from structures of Ig{beta}/{beta} homodimers. Unlike previous predictions, the BCR structure displays an asymmetric arrangement, in which the Ig/{beta} ECD heterodimer mainly uses Ig to associate with C{micro}3-C{micro}4 domains of one heavy chain ({micro}HC) while leaving the other heavy chain ({micro}HC) empty. The transmembrane domain (TMD) helices of the two {micro}HCs also deviate from the 2-fold symmetry of the C{micro}3-C{micro}4 domain dimer and form together with the TMD helices of the Ig/{beta} heterodimer a tight 4-helix bundle. The asymmetry at the TMD helices prevents the recruitment of two Ig/{beta} heterodimers. Surprisingly, the connecting peptides (CPs) between the ECD and TMD are braided together through striking charge complementarity, resulting in intervening of the CP of {micro}HC in between those of Ig and Ig{beta} and crossover of the TMD relative to ECD for the Ig/{beta} heterodimer, to guide the TMD assembly. Interfacial analyses suggest that the IgM BCR structure we present here may represent a general organizational architecture of all BCR classes. Our studies thus provide a structural platform for understanding B-cell signalling and for designing rational therapies against BCR-mediated diseases.

immunology↗

bioRxiv2022

Engineering precise adenine base editor with infinitesimal rates of bystander mutations and off-target editing

Adenine base editors (ABEs) catalyze A-to-G transitions showing broad applications, but their bystander mutations and off-target editing effects raise the concerns of safety issues. Through structure-guided engineering, we found ABE8e with an N108Q mutation reduced both adenine and cytosine bystander editing, and introduction of an additional L145T mutation (ABE9), further refined the editing window to 1-2nt with eliminated cytosine editing. Importantly, ABE9 induced very minimal RNA and undetectable Cas9-independent DNA off-target effects, which mainly installed desired single A-to-G conversion in mouse and rat embryos to efficiently generate disease models. Moreover, ABE9 accurately edited A5 position of the protospacer sequence in pathogenic homopolymeric adenosine sites (up to 342.5-fold precision than ABE8e) and was further confirmed through a library of guide RNA-target sequence pairs. Due to the minimized editing window, ABE9 could further broaden the targeting scope for precise correction of pathogenic SNVs when fused to Cas9 variants with expanded PAM compatibility.

bioengineering↗

bioRxiv2022

Albumin as a probe for clathrin-independent endocytosis and transcytosis into experimental brain metastases of breast cancer.

Advances in drug treatments for brain metastases of breast cancer have improved progression free survival but new, more efficacious strategies are needed. Most chemotherapeutic drugs infiltrate brain metastases by moving between brain capillary endothelial cells, paracellular distribution, resulting in heterogeneous distribution, lower than that to systemic metastases. Herein, we tested three well-known transcytotic pathways through brain capillary endothelial cells as potential avenues for drug access: Transferrin receptor (TfR) peptide, Low density lipoprotein receptor 1 (LRP1) peptide, Albumin. Each was far-red labeled, injected into two hematogenous models of brain metastases, circulated for two different times, and their uptake quantified in metastases and uninvolved (nonmetastatic) brain. Surprisingly, all three pathways demonstrated distinct distribution patterns in vivo. Two were suboptimal: TfR distributed to uninvolved brain but poorly in metastases, while LRP1 was poorly distributed. Albumin distributed to virtually all metastases in both model systems, significantly greater than in uninvolved brain (P <0.0001). Further experiments revealed that albumin entered both macrometastases and micrometastases, the targets of treatment and prevention translational strategies. Albumin uptake into brain metastases was not correlated with the uptake of a paracellular probe (biocytin). We identified a novel mechanism of albumin endocytosis through the endothelia of brain metastases consistent with clathrin-independent endocytosis (CIE), involving the neonatal Fc receptor (FcRn), galectin-3 (Gal-3) and glycosphingolipids. Components of the CIE process were found on metastatic endothelial cells in human craniotomies. The data suggest a reconsideration of albumin as a translational mechanism for improved drug delivery to brain metastases and possibly other CNS cancers. Statement of SignificanceDrug therapy for brain metastasis needs improvements. We surveyed transcytotic pathways as potential delivery systems in brain-tropic models and found that albumin has optimal properties. Albumin used a novel mechanism for endocytosis.

cancer biology↗

bioRxiv2022

Ligands tune the local and global motions of neurotensin receptor 1 (NTS1): a DFT-guided solution NMR analysis

Unlike many signaling proteins that function as binary switches between on and off states, G protein-coupled receptors (GPCRs) exhibit basal activity that can be increased or decreased by numerous ligands. A given receptor can recognize multiple ligands, allosteric modulators, and transducers to create a complex free energy landscape. Many of the lowest energy states have been captured by static structural techniques while detailing the wells widths, metastable states, and the transition between them, is still in its infancy. Nuclear magnetic resonance (NMR) spectroscopy can monitor the structure and dynamics of GPCR ensembles across fifteen orders-of-magnitude, but technical challenges have limited its application to super-microsecond timescales. Focusing on a prototypical peptide-binding GPCR, the neurotensin receptor 1 (NTS1), we employed NMR and density functional theory (DFT) to probe global sub-nanosecond motions. The near random coil chemical shifts of the apo receptor produced a poor correlation with theoretical predictions that may indicate a high degree of conformational averaging in solution, a crystallization artifact, or both. Whereas orthosteric agonists and antagonists both rigidified the receptor, but to varying degrees, which suggests conformational entropy differentially contributes to their respective pharmacology. The strong correlations of observed and theoretical chemical shifts lend confidence to interpreting spectra in terms of local structure, methyl dihedral angle geometry, and pico-second timescale transitions. Together, our results suggest a role for sub-nanosecond dynamics and conformational entropy in GPCR ligand discrimination.

biophysics↗

bioRxiv2022

Targeting Epsins by nanotherapy regulates lipid metabolism and promotes 1 ABCG1-mediated cholesterol efflux to fortify atheroma regression

BACKGROUNDExcess cholesterol accumulation in lesional macrophages elicits complex responses in atherosclerosis. Epsins, a family of endocytic adaptors, fuel the progression of atherosclerosis; however, the underlying mechanism and therapeutic potential of targeting Epsins remains unknown. In this study, we determined the role of Epsins in macrophage-mediated metabolic regulation. We then developed an innovative method to therapeutically-target macrophage Epsins with specially-designed S2P-conjugated lipid nanoparticles (NPs), which encapsulate small interfering RNAs to suppress Epsins. METHODSWe used single cell RNA sequencing (scRNA-seq) with our newly developed algorithm MEBOCOST to study cell-cell communications mediated by metabolites from sender cells and sensor proteins on receiver cells. Biomedical, cellular and molecular approaches were utilized to investigate the role of macrophage Epsins in regulating lipid metabolism and transport. We performed this study using myeloid-specific Epsin double knockout (LysM-DKO) mice and mice with a genetic reduction of ABCG1 (LysM-DKO-ABCG1fl/+). The NPs targeting lesional macrophages were developed to encapsulate interfering RNAs to treat atherosclerosis. RESULTSWe revealed that Epsins regulate lipid metabolism and transport in atherosclerotic macrophages. Inhibiting Epsins by nanotherapy halts inflammation and accelerates atheroma resolution. Harnessing lesional macrophage-specific NP delivery of Epsin siRNAs, we showed that silencing of macrophage Epsins markedly diminished atherosclerotic plaque size and promoted plaque regression. Mechanistically, we demonstrated that Epsins bound to CD36 to facilitate lipid uptake by enhancing CD36 endocytosis and recycling. Conversely, Epsins promoted ABCG1 degradation via lysosomes and hampered ABCG1-mediated cholesterol efflux and reverse cholesterol transport. In a LysM-DKO-ABCG1fl/+ mouse model, enhanced cholesterol efflux and reverse transport due to Epsin deficiency was suppressed by the reduction of ABCG1. CONCLUSIONSOur findings suggest that targeting Epsins in lesional macrophages may offer therapeutic benefits for advanced atherosclerosis by reducing CD36-mediated lipid uptake and increasing ABCG1-mediated cholesterol efflux. Novelty and SignificanceO_ST_ABSWHAT IS KNOWN?C_ST_ABSO_LIEpsin endocytic adaptor proteins are upregulated in human and mouse atherosclerotic lesions C_LIO_LILesional macrophages internalize lipids primarily through scavenger receptor-mediated endocytosis such as CD36 and SR-A C_LIO_LIMacrophage-mediated cholesterol efflux and reverse cholesterol transport is crucial to atheroma resolution C_LI WHAT NEW INFORMATION DOES THIS ARTICLE CONTRIBUTE?O_LIScRNA-seq combined with the newly-developed algorithm MEBOCOST reveals that Epsins are involved in macrophage-mediated lipid metabolic regulation C_LIO_LIMacrophage epsins promote lipid uptake by targeting CD36 endocytosis and membrane recycling via the Epsin ENTH domain C_LIO_LIEpsins bind ubiquitinated ABCG1--resulting in the endocytosis and lysosomal degradation of this cholesterol transporter, which reduces cholesterol efflux. C_LIO_LIMacrophage-specific, nanoparticle-mediated RNAi delivery exhibits a therapeutic benefit for the treatment of atherosclerosis C_LIO_LIAtherosclerotic plaque regression using this nanoparticle delivery platform represents a clinically-relevant approach for the treatment of advance atherosclerosis C_LI BRIEF SUMMARYDespite the development of new cholesterol-lowering therapies, including the recently approved PCSK9 small interfering RNA (siRNA) antagonists, patients still face a tremendous risk of developing major acute cardiovascular events resulting from chronic inflammation in the plaque. We employed a novel nanomedicine platform containing a stabilin-2 targeting peptide (S2P) to deliver Epsin-specific siRNAs to lesional macrophages. We discovered that inhibition of these adaptor proteins in lesional macrophages significantly diminished plaque size and necrotic core area, increased fibrous cap thickness, and promoted plaque regression.

cell biology↗

bioRxiv2022

Decoding Subject's Own Name in the Primary Auditory Cortex

Current studies have shown that perception of subjects own name (SON) involves multiple multimodal brain regions, while activities in unimodal sensory regions (i.e., primary auditory cortex) and their interaction with multimodal regions during the self-processing remain unclear. To answer this, we combined multivariate pattern analysis and dynamic causal modelling analysis to explore the regional activation pattern and inter-region effective connection during the perception of SON. We found that SON and other names could be decoded from the activation pattern in the primary auditory cortex. In addition, we found an excitatory effect of SON on connections from the anterior insula/inferior frontal gyrus to the primary auditory cortex, and to the temporal parietal junction. Our findings extended the current knowledge of self-processing by showing that primary auditory cortex could discriminate SON from other names. Furthermore, our findings highlighted the importance of influence of the insula on the primary auditory cortex during self-processing.

neuroscience↗

bioRxiv2022

Top-Down Ion Mobility Separations of Isomeric Proteoforms

Continuing advances in proteomics highlight the ubiquity and biological importance of proteoforms - the proteins with varied sequence, splicing, or distribution of post-translational modifications (PTMs). The preeminent example is histones, where the PTM pattern encodes the combinatorial language controlling the DNA transcription central to life. While the proteoforms with distinct PTM compositions are distinguishable by mass, the isomers with permuted PTMs ("localization variants") commonly coexisting in cells generally require separation before mass-spectrometric (MS) analyses. That was accomplished on the bottom-up and middle-down levels using chromatography or ion mobility spectrometry (IMS), but proteolytic digestion obliterates the crucial PTM connectivity information. Here we demonstrate baseline IMS resolution of intact isomeric proteoforms, specifically the acetylated H4 histones (11.3 kDa). The variants with a single acetyl moiety on five alternative lysine residues (K5, K8, K12, K16, K20) known for distinct functionalities in vivo were constructed by two-step native chemical ligation and separated using trapped IMS at the resolving power up to 350 on the Bruker TIMS/ToF platform. Full resolution for several pairs was confirmed using binary mixtures and by unique fragments in tandem MS employing collision-induced dissociation. This novel capability for top-down proteoform characterization is poised to open major new avenues in proteomics and epigenetics.

biochemistry↗

bioRxiv2022

CeDAR: incorporating cell type hierarchy improves cell type specific differential analyses in bulk omics data

The bulk high-throughput omics data contain signals from a mixture of cell types. Recent developments of deconvolution methods facilitate cell-type-specific inferences from bulk data. Our real data exploration suggests that the differential expression or methylation status are often correlated among cell types. Based on this observation, we develop a novel statistical method named CeDAR to incorporate the cell type hierarchy in cell-type-specific differential analyses in bulk data. Extensive simulation and real data analyses demonstrate that this approach significantly improves the accuracy and power in detecting cell-type-specific differential signals compared with existing methods, especially in low abundance cell types.

genomics↗