Biology subjects

Zhu, J.

Publications and source records attributed to Zhu, J..

At least 559 records · Page 31Linked to original sources

bioRxiv2019

Real-time Continuous Hand Motion Myoelectric Decoding by Automated Data Labeling

In this paper an automated data labeling (ADL) neural network was proposed to streamline dataset collecting for real-time predicting the continuous motion of hand and wrist, these gestures are only decoded from a surface electromyography (sEMG) array of eight channels. Unlike collecting both the bio-signals and hand motion signals as samples and labels in supervised learning, this algorithm only collects the unlabeled sEMG into an unsupervised neural network, in which the hand motion labels are auto-generated. The coefficient of determination (r2) for three DOFs, i.e. wrist flex/extension, wrist pro/supination, hand open/close, was 0.86, and 0.87 respectively. The comparison between real motion labels and auto-generated labels shows that the latter has earlier response than former. The results of Fitts law test indicate that ADL has capability of controlling multi-DOFs simultaneously even though the training set only contains sEMG data from single DOF gesture. Moreover, no more hand motion measurement needed which greatly helps upper-limb amputee imagine the gesture of residual limb to control a dexterous prosthesis.

bioengineering↗

bioRxiv2019

Collagen I weakly interacts with the β-sheets of β2-microglobulin and enhances conformational exchange to induce amyloid formation

Amyloidogenesis is significant in both protein function and pathology. Amyloid formation of folded, globular proteins is commonly initiated by partial unfolding. However, how this unfolding event is triggered for proteins that are otherwise stable in their native environments is not well understood. The accumulation of the immunoglobulin protein {beta}2-microglobulin ({beta}2m) into amyloid plaques in the joints of long-term hemodialysis patients is the hallmark of Dialysis Related Amyloidosis (DRA). While {beta}2m does not form amyloid unassisted near neutral pH in vitro, the localization of {beta}2m deposits to joint spaces suggests a role for the local extracellular matrix (ECM) proteins, specifically collagens, in promoting amyloid formation. Indeed, collagen and other ECM components have been observed to facilitate {beta}2m amyloid formation, but the large size and anisotropy of the complex, combined with the low affinity of these interactions, has limited atomic-level elucidation of the amyloid-promoting mechanism by these molecules. Using solution NMR approaches that uniquely probe weak interactions and large complexes, we are able to derive binding interfaces for collagen I on {beta}2m and detect collagen I-induced {micro}s-ms timescale dynamics in the {beta}2m backbone. By combining solution NMR relaxation methods and 15N-dark state exchange saturation transfer experiments, we propose a model in which weak, multimodal collagen I-{beta}2m interactions promote exchange with a minor population of an amyloid-competent species to induce fibrillogenesis. The results portray the intimate role of the environment in switching an innocuous protein into an amyloid-competent state, rationalizing the localization of amyloid deposits in DRA.

biophysics↗

bioRxiv2019

Activation and inhibition of nonsense-mediated mRNA decay controls the abundance of alternative polyadenylation products

Alternative polyadenylation (APA) produces transcript 3 untranslated regions (3UTRs) with distinct sequences, lengths, stability, and functions. We show here that APA products include a class of cryptic nonsense-mediated mRNA decay (NMD) substrates with extended 3UTRs that gene- or transcript-level analyses of NMD often fail to detect. Transcriptome-wide, the core NMD factor UPF1 preferentially recognizes long 3UTR products of APA, leading to their systematic downregulation. Further, we find that many APA events consistently observed in multiple tumor types are controlled by NMD. Additionally, PTBP1, previously implicated in direct modulation of co-transcriptional polyA site choice, regulates the balance of short and long 3UTR isoforms by inhibiting NMD. Our data suggest that PTBP1 binding near polyA sites can drive production of long 3UTR APA products in the nucleus and/or protect them from decay in the cytoplasm. Together, our findings reveal a widespread role for NMD in shaping the outcomes of APA.

molecular biology↗

bioRxiv2019

Molecular Networks and Key Regulators of the Dysregulated Neuronal System in Alzheimer’s Disease

To study the molecular mechanisms driving the pathogenesis and identify novel therapeutic targets of late onset Alzheimers Disease (LOAD), we performed an integrative network analysis of whole-genome DNA and RNA sequencing profiling of four cortical areas, including the parahippocampal gyrus, across 364 donors spanning the full spectrum of LOAD-related cognitive and neuropathological disease severities. Our analyses revealed thousands of molecular changes and uncovered for the first-time multiple neuron specific gene subnetworks most dysregulated in LOAD. ATP6V1A, a critical subunit of vacuolar-type H+-ATPase (v-ATPase), was predicted to be a key regulator of one neuronal subnetwork and its role in disease-related processes was evaluated through CRISPR-based manipulation of human induced pluripotent stem cell derived neurons and RNAi-based knockdown in transgenic Drosophila models. This study advances our understanding of LOAD pathogenesis by providing the global landscape and detailed circuits of complex molecular interactions and regulations in several key brain regions affected by LOAD and the resulting network models provide a blueprint for developing next generation therapeutics against LOAD.

neuroscience↗

bioRxiv2019

Monitoring G-quadruplex formation with DNA carriers and solid-state nanopores

G-quadruplexes (Gq) are guanine-rich DNA structures formed by single-stranded DNA. They are of paramount significance to gene expression regulation, but also drug targets for cancer and human viruses. Current ensemble and single-molecule methods require fluorescent labels, which can affect Gq folding kinetics. Here we introduce, a single-molecule Gq nanopore assay (smGNA) to detect Gqs and kinetics of Gq formation. We use ~5 nm solid-state nanopores to detect various Gq structural variants attached to designed DNA carriers. Gqs can be identified by localizing their positions along designed DNA carriers establishing smGNA as a tool for Gq mapping. In addition, smGNA allows for discrimination of (un-)folded Gq structures, provides insights into single-molecule kinetics of G-quadruplex folding, and probes quadruplex-to-duplex structural transitions. smGNA can elucidate the formation of G-quadruplexes at the single-molecule level without labelling and has potential implications on the study of these structures both in single-stranded DNA and in genomic samples.

biophysics↗

bioRxiv2019

PulseDIA: in-depth data independent acquisition mass spectrometry using enhanced gas phase fractionation

An inherent bottleneck of data independent acquisition (DIA) analysis by Orbitrap-based mass spectrometers is the relatively large window width due to the relatively slow scanning rate compared to TOF. Here we present a novel gas phase separation and MS acquisition method called PulseDIA-MS, which improves the specificity and sensitivity of Orbitrap-based DIA analysis. This is achieved by dividing the ordinary DIA-MS analysis covering the entire mass range into multiple injections for DIA-MS analyses with complementary windows. Using standard HeLa digests, the PulseDIA method identified 69,530 peptide precursors from 9,337 protein groups with ten MS injections of 30 min LC gradient. The PulseDIA scheme containing two complementary windows led to the highest gain of peptide and protein identifications per time unit compared to the conventional 30 min DIA method. We further applied the method to profile the proteome of 18 cholangiocarcinoma (CCA) tissue samples (benign and malignant) from nine patients. PulseDIA identified 7,796 protein groups in these CCA samples, with 14% increase of protein identifications, compared to the conventional DIA method. The missing value for protein matrix dropped by 7% with PulseDIA acquisition. 681 proteins were significantly dysregulated in tumorous CCA samples. Together, we presented and benchmarked an alternative DIA method with higher sensitivity and lower missing rate.

cancer biology↗

bioRxiv2019

Diverse flanking sequence types of blaNDM in IncX3 and IncB/O/K/Z plasmids in Escherichia coli isolated from poultry

We identified 33 blaNDM-harboring Escherichia coli in 470 poultry samples from Shandong and Guangdong provinces during 2016 to 2017 and included the subtypes blaNDM-1, blaNDM-5 and blaNDM-9. The blaNDM gene possessed by all strains was plasmid-borne and ranged in size from 46 to 265 kb. The plasmids included the replicon types IncX3, IncY, IncB/O/K/Z and IncHI2 and most were transferable and stable in recipient host bacteria. Sequences flanking blaNDM in IncX3 and IncB/O/K/Z plasmids were diverse and the mobile element IS26 played an important role in the evolution of the IncB/O/K/Z blaNDM plasmids.

microbiology↗

bioRxiv2019

Transcriptome analysis reveals the difference between \"healthy\" and \"common\" aging and their connection with age-related diseases

A key goal of aging research is to understand mechanisms underlying healthy aging and use them to develop methods to promote the human healthspan. One approach is to identify gene regulations differentiating healthy aging from aging in the general population (i.e., \"common\" aging). In this study, we leveraged GTEx (Genotype-Tissue Expression) project data to investigate \"healthy\" and \"common\" aging in humans and their interconnection with diseases.\n\nWe selected GTEx donors who were not annotated with diseases to approximate a \"healthy\" aging cohort. We then compared the age-associated genes derived from this cohort with age-associated genes from our \"common\" aging cohort which included all GTEx donors; we also compared the \"healthy\" and \"common\" aging gene expressions with various disease-associated gene expression to elucidate the relationships among \"healthy\", \"common\" aging and disease. Our analyses showed that 1. \"healthy\" and \"common\" aging shared a large number of gene regulations; 2. Despite the substantial commonality, \"healthy\" and \"common\" aging genes also showed distinct function enrichment, and \"common\" aging genes had a higher enrichment for disease genes; 3. Disease-associated gene regulations were overall different from aging gene regulations. However, for genes regulated by both, their regulation directions were largely consistent, implying some aging processes could increase the susceptibility to disease development; and 4. Possible protective mechanisms were associated with the \"healthy\" aging gene regulations.\n\nIn summary, our work highlights several unique features of human \"healthy\" aging program. This new knowledge can be used for the development of therapeutics to promote human healthspan.

genetics↗

bioRxiv2019

Predicting 30-day Hospital Readmissions Using Artificial Neural Networks with Medical Code Embedding

Reducing unplanned readmissions is a major focus of current hospital quality efforts. In order to avoid unfair penalization, administrators and policymakers use prediction models to adjust for the performance of hospitals from healthcare claims data. Regression-based models are a commonly utilized method for such risk-standardization across hospitals; however, these models often suffer in accuracy. In this study we, compare four prediction models for unplanned patient readmission for patients hospitalized with acute myocardial infarction (AMI), congestive health failure (HF), and pneumonia (PNA) within the Nationwide Readmissions Database in 2014. We evaluated hierarchical logistic regression and compared its performance with gradient boosting and two models that utilize artificial neural network. We show that unsupervised Global Vector for Word Representations embedding representations of administrative claims data combined with artificial neural network classification models significantly improves prediction of 30-day readmission. Our best models increased the AUC for prediction of 30-day readmissions from 0.68 to 0.72 for AMI, 0.60 to 0.64 for HF, and 0.63 to 0.68 for PNA compared to hierarchical logistic regression. Furthermore, risk-standardized hospital readmission rates calculated from our artificial neural network model that employed embeddings led to reclassification of approximately 10% of hospitals across categories of hospital performance. This finding suggests that prediction models that incorporate new methods classify hospitals differently than traditional regression-based approaches and that their role in assessing hospital performance warrants further investigation.

bioinformatics↗

bioRxiv2019

Rational design of hepatitis C virus E2 core nanoparticle vaccines

Hepatitis C virus (HCV) envelope glycoproteins E1 and E2 are critical for cell entry with E2 being the major target of neutralizing antibodies (NAbs). Here, we present a comprehensive strategy for B cell-based HCV vaccine development through E2 optimization and nanoparticle display. We redesigned variable region 2 in a truncated form (tVR2) on E2 cores derived from genotypes 1a and 6a, resulting in improved stability and antigenicity. Crystal structures of three optimized E2 cores with human cross-genotype NAbs (AR3s) revealed how the modified tVR2 stabilizes E2 without altering key neutralizing epitopes. We then displayed these E2 cores on 24- and 60-meric nanoparticles and achieved high yield, high purity, and enhanced antigenicity. In mice, these nanoparticles elicited more effective NAb responses than soluble E2 cores. Next-generation sequencing (NGS) defined distinct B-cell patterns associated with nanoparticle-induced antibody responses, which cross-neutralized HCV by targeting the conserved neutralizing epitopes on E2.\n\nOne Sentence SummaryAn HCV vaccine strategy is presented that displays redesigned E2 cores on nanoparticles as vaccine candidates for eliciting a broadly neutralizing B-cell response.

microbiology↗

bioRxiv2019

MUC5AC drives COPD exacerbation severity through amplification of virus-induced airway inflammation

The respiratory tract surface is protected from inhaled pathogens by a secreted layer of mucus that is rich in mucin glycoproteins. Disrupted mucus production is a cardinal feature of chronic respiratory diseases but how this alteration affect interactions between mucins and pathogens is complex and poorly understood. Here, we identify a central and unexpected role for the major airway mucin MUC5AC in pathogenesis of virus-induced exacerbations of chronic obstructive pulmonary disease (COPD). Virus induction of MUC5AC is augmented in COPD compared to healthy subjects, is enhanced in frequent exacerbators and correlates with inflammation, symptom severity and secondary bacterial infection during exacerbation. MUC5AC is functionally related to inflammation as MUC5AC-deficient (Muc5ac-/-) mice had attenuated rhinovirus-induced airway inflammation whilst exogenous MUC5AC glycoprotein administration augmented virus-induced inflammatory responses and bacterial load. Mechanistically, MUC5AC-augmentation of rhinovirus-induced inflammation occurred through release of extracellular adenosine triphosphate (ATP). Therapeutic suppression of virus-induced MUC5AC release using an epidermal growth factor receptor (EGFR) inhibitor ameliorated exaggerated pro-inflammatory responses in a mouse COPD exacerbation model. Collectively, these studies demonstrate previously unrecognised pro-inflammatory effects of MUC5AC during infection and thus highlight a key unforeseen role in driving COPD exacerbation severity.

immunology↗

bioRxiv2019

Transcriptional Differences of Peanut (Arachis hypogaea L.) Seeds in the Fresh-harvest, After-ripened and Just-germinated States: insights into regulatory networks of seed dormancy-release and germination

Seed dormancy and germination are the two important traits related to plant survival and reproduction, and crop yield. To understand their regulation mechanism, it is crucial to clarify which genes or which pathways participate in the regulation of these processes. However, little information is available during the procedure of seed dormancy and germination in peanut. In this study, the seeds of the variety Luhua No.14 with non-deep dormancy were selected and its transcriptional changes at three developmental stages: the fresh-harvest (FS), the after-ripened (DS) and the just-germinated seeds (GS), were investigated by comparative transcriptomics analysis. The results showed that genes with increased transcription in DS vs FS comparison were overrepresented for oxidative phosphorylation, glycolysis pathway and tricarboxylic acid cycle (TCA), suggesting that after a period of drying storage, the intermediates stored in dry seeds were rapidly mobilized by glycolysis, TCA cycle, glyoxylate cycle, etc.; the electron transport chain accompanying with respiration has been reactivated to provide ATP for mobilization of other reserves and seed germination. In GS vs DS pairwise, dozens of the up-regulated genes were related to plant hormone biosynthesis and signal transduction, including the majority of components in auxin signal pathway, and brassinosteroid biosynthesis and signal transduction, and some GA and ABA signal transduction genes. During seeds germination, the expression of some EXPANSIN and XYLOGLUCAN ENDOTRANSGLYCOSYLASE was also significantly enhanced. To investigate the effect of different hormone during the procedure of seed germination, the contents and the differential distribution of ABA, GA, BR and IAA in cotyledon, hypocotyl and radicle, and plumule of three seed sections at different developmental stages were also detected. Combining with previous data in other species, a model of regulatory network related to peanut seed germination was developed. This model will helpful to gain further understanding of the mechanisms controlling seed dormancy and germination.

plant biology↗

bioRxiv2019

CD155/CD96 promotes immunosuppression in lung adenocarcinoma (LUAD)

Lung adenocarcinoma (LUAD) remains one of the leading causes of death in patients with cancer. The association of CD155 with CD96 transmits an inhibitory signal and suppresses antitumor immune response. This study investigates the effect of CD155/CD96 on immune suppression in LUAD. We demonstrate that LUAD patients with high CD155 expression suffer from immune suppression and experience a poor prognosis, which coincides with an inhibited AKT-mTOR signaling pathway in CD8 T cells and subsequently up-regulated CD96 expression. Moreover, the inhibition effect can be reversed by CD96 blocking antibody. High CD155 expression inhibited the release of IFN{gamma} from CD8 cells. Moreover, Blocking CD96 restored IFN{gamma} production in CD8 T cells and neutralized the inhibition of IFN{gamma} production in CD8 T cells mediated by CD155. Animal experiments showed that CD155-mediated LUAD growth might depend on its suppression antitumor immune response in the tumor microenvironment in PDX mice. In conclusion, our results suggest that LUAD cells suppress antitumor immune response in the tumor microenvironment through CD155/CD96. CD155/CD96 could be a potential therapeutic target for LUAD patients.\n\nAbbreviationsLUAD: lung adenocarcinoma; IFN{gamma}: interferon gamma; PDX: patient-derived xenograft; NSCLC: non-small cell lung cancer; PRR: poliovirus receptor-related; MDSCs: myeloid-derived suppressor cells; PRR: poliovirus receptor-related; STR: short tandem repeat; IRS: immunoreactive score; SI: staining intensity; PP: percentage of positive cells; RT-PCR: reverse transcription-polymerase chain reaction; PBS: phosphate-buffered saline; PBMCs: peripheral blood mononuclear cells; SDS-PAGE: sodium dodecyl sulfate-polyacrylamide gel electrophoresis; rCD155: recombinant human CD155; LUAD cells: lung adenocarcinoma cells; TILs: tumor-infiltrating lymphocytes; GzmB: granzyme B; IL-2 (Interleukin-2); TNF- : tumor necrosis factor-alpha; PI: propidium Iodide; PDX: patient-derived xenograft; TIGIT: T cell immunoreceptor with Igand ITIM domains; WBC: white blood cells; MFI: mean fluorescence intensity; HPF: high power field

cancer biology↗

bioRxiv2019

Controlling Strawberry Mites: Comparison of New Bio-Pesticides and Conventional Chemical Pesticides

BACKGROUNDTetranychus cinnabarinus is one of the pest insects most severely influencing strawberry production. It has a high attack rate and causes severe economic losses. Laboratory toxicity tests and greenhouse experiments were carried out using 13 acaricides to determine their efficacy and potential mechanisms of action.\n\nRESULTSAbamectin showed the highest efficacy against T. cinnabarinus female mites; its LC50 value was 0.18mg L-1. Pyridaben, cyhalothrin, veratrine, and carbosulfan showed reasonably high efficacy; their LC50 values were 2.69 mg L-1, 3.94 mg L-1, 5.98 mg L-1, and 6.75 mg L-1, respectively. Less effective were hexythiazox and bifenthrin, their LC50 values were 9.82 mg L-1 and 19.09 mg L-1, respectively. Other acaricides such as spirodiclofen, chlorantraniliprole, chlorfenapyr, spinosad, and bifenazate did not show good efficacy. The status of female mites treated with avermectin, pyridaben, kanghebio and cyhalothrin changed significantly under a fluorescence microscope. There were no significant differences among female mites treated with spirotetramat, chlorantraniliprole, spinosad and bifenazate. Enzyme activity tests showed that Kanghebio and cyhalothrin obviously inhibited Ca2+-adenosine triphosphatase (Ca2+-ATPase), while veratrine and kanghebi obviously inhibited acetylcholinesterase (TChE) and monoamine oxidase (MAO). Cyhalothrinexerted an auxo-action on MAO. Greenhouse experiment indicated that abamectin showed the best efficacy, as well as the longest duration of efficacy, pyridaben, cyhalothrin, veratrine, and kanghebio followed, while carbosulfan, hexythiazox, and bifenthrin performed the worst.\n\nCONCLUSIONSOur study provided a scientific basis for chemical pesticides to be replaced by these and potentially other new bio-pesticides.

biochemistry↗

bioRxiv2019

Pyrazinamide triggers degradation of its target aspartate decarboxylase

The introduction of pyrazinamide (PZA) in the tuberculosis drug regimen shortened treatment from 12 to 6 months 1. PZA is a prodrug that is activated by a Mycobacterium tuberculosis (Mtb) amidase to release its bioactive component pyrazinoic acid (POA) 2. Aspartate decarboxylase PanD, a proenzyme activated by autocatalytic cleavage (Supplementary Fig. 1A, 3) and required for Coenzyme A (CoA) biosynthesis, emerged as a target of POA 4-7. In vitro and in vivo screening to isolate spontaneous POA-resistant Mtb mutants identified missense mutations in either panD or the unfoldase clpC1, encoding a component of the caseinolytic protease ClpC1-ClpP 4,6-9. Overexpression and binding studies of PanD or ClpC1 pointed to PanD as the direct target of POA whereas clpC1 mutations appeared to indirectly cause resistance 4,5,7,9,10. Indeed, supplementing growth media with CoA precursors downstream of the PanD catalyzed step conferred POA resistance 4,7,11. Metabolomic analyses and biophysical studies using recombinant proteins confirmed targeting of PanD by POA 5. However, the exact molecular mechanism of PanD inhibition by POA remained unknown. While most drugs act by inhibiting protein function upon target binding, we show here that POA is not a bona fide enzyme inhibitor. Rather, POA binding to PanD triggers degradation of the protein by ClpC1-ClpP. Thus, the old tuberculosis drug PZA promotes degradation of its target. While novel for an antibacterial, drug-induced target degradation has recently emerged as a strategy in drug discovery across disease indications. Our findings provide the basis for the rational discovery of next generation PZA.

microbiology↗

bioRxiv2019

The succession pattern of bacterial diversity in compost using pig manure mixed with wood chips analyzed by 16S rRNA gene analysis

The pig manure mixed with wood chips and formed compost by means of fermentation. We found that the protease activity, organic matter content and ammonium nitrogen concentration were higher in the early stage of composting. Meanwhile, the urease activity was highest in the high temperature period. The carbon to nitrogen ratio of the compost decreased continuously with fermentation. The dynamic change in the composition of bacterial overtime in the compost of a 180 kg piles were explored using microbial diversity analysis. The results showed that the microbial species increased with the compost fermentation. At the early stage of composting, the phyla of Firmicutes and Actinomycetes were dominant. The microbes in the high temperature period were mainly composed of Firmicutes and Proteobacteria while the proportion of Bacteroides was increased during the cooling period. In the compost of maturity stage, the proportion of Chloroflexi increased, becoming dominant species with other microorganisms including Firmicutes, Proteobacteria, Bacteroides, Chloroflexi but not Actinomycetes. Bacteria involved in lignocellulose degradation, such as those of the Thermobifida, Cellvibrio, Mycobacterium, Streptomyces and Rhodococcus, were concentrated in the maturity stages of composting. Through correlation analysis, the environmental factors including organic matter, ammonium nitrogen and temperature were consistent with the succession of microbial including Rhodocyclaceae, Anaerolineaceae, Thiopseudomonas, Sinibacillus and Tepidimicrobium. The change of urease activity and carbon to nitrogen ratio corresponded to microbial communities, mainly containing Anaerolineaceae, Rhodocyclaceae, Luteimoas, Bacillaceae, Corynebacterium, Bacillus, Anaerococcus, Lactobacillus, Ignatzschineria, and Bacillaceae.

microbiology↗

bioRxiv2019

Development of a potent and protective germline-like antibody lineage against Zika virus in a convalescent human

Zika virus (ZIKV) specific neutralizing antibodies hold a great promise for antibody-based interventions and vaccine design against ZIKV infection. However, their development in infected patients remain unknown. Here, we report on the dynamic development of a potent and protective ZIKV-specific human antibody ZK2B10 initially isolated from a ZIKV convalescent individual using next-generation sequencing (NGS). The unbiased repertoire analysis showed dramatic changes in many families of heavy and light chain variable regions. However, lineage tracing of ZK2B10 revealed limited somatic hypermutation throughout the 12 months since the onset of symptom. In particular, NGS-derived germline-like somatic variants neutralized and protected mice from lethal challenge of ZIKV without detectable cross-reactivity with Dengue virus (DENV). Site-directed mutagenesis identified two residues within {lambda} chain, N31 and S91 that are essential to the functional maturation. The dynamic features unveiled here will assist us to better understand the pathogenesis of ZIKV infection and inform rational design of vaccines.\n\nAuthor summaryRecently emerged ZIKV is associated with severe neurological complications such as Guillain-Barre syndrome in adults and congenital microcephaly in newborns. No ZIKV-specific therapeutics or vaccines are currently available. We and others have identified a number of neutralizing antibodies capable of protecting experimental animals from ZIKV infection. However, the development of these potent antibodies during ZIKV natural infection remains unknown. Here, we report on the longitudinal analysis of one such antibody ZK2B10 using next-generation sequencing (NGS), bioinformatics and functional analysis. We found that the ZK2B10 germline-like antibodies possess strong neutralizing activity in vitro and impressive protectivity against lethal ZIKV infection in vivo. These findings suggest that the potent and protective antibody response against ZIKV can be generated within relative short term with high germline identity which provide great hope and promise for successful vaccine development against ZIKV.

microbiology↗

bioRxiv2019

Tmod2 is a regulator of cocaine responses through control of striatal and cortical excitability, and drug-induced plasticity

Drugs of abuse induce neuroadaptations, including synaptic plasticity, that are critical for transition to addiction, and genes and pathways that regulate these neuroadaptations are potential therapeutic targets. Tropomodulin 2 (Tmod2) is an actin-regulating gene that plays an important role in synapse maturation and dendritic arborization and has been implicated in substance-abuse and intellectual disability in humans. Here we mine the KOMP2 data and find that Tmod2 knockout mice show emotionality phenotypes that are predictive of addiction vulnerability. Detailed addiction phenotyping showed that Tmod2 deletion does not affect the acute locomotor response to cocaine administration. However, sensitized locomotor responses are highly attenuated in these knockouts, indicating perturbed drug-induced plasticity. In addition, Tmod2 mutant animals do not self-administer cocaine indicating lack of hedonic responses to cocaine. Whole brain MR imaging shows differences in brain volume across multiple regions although transcriptomic experiments did not reveal perturbations in gene co-expression networks. Detailed electrophysiological characterization of Tmod2 KO neurons, showed increased spontaneous firing rate of early postnatal and adult cortical and striatal neurons. Cocaine-induced synaptic plasticity that is critical for sensitization is either missing or reciprocal in Tmod2 KO nucleus accumbens shell medium spiny neurons, providing a mechanistic explanation of the cocaine response phenotypes. Combined, these data provide compelling evidence that Tmod2 is a major regulator of plasticity in the mesolimbic system and regulates the reinforcing and addictive properties of cocaine.\n\nSignificance statementWe identify, characterize, and establish tropomodulin 2 (Tmod2), an actin-regulating gene exclusively expressed in neurons, as an important regulator of addiction-related phenotypes. We show that Tmod2, knockout mice (Tmod2 KO) exhibit phenotypes that are predictive of addiction. In detailed addiction phenotyping, we find the Tmod2 regulates cocaine sensitization and self-administration. We explore anatomical, transcriptional, electrophysiological mechanisms of this regulation. Combined these studies provide compelling evidence that Tmod2 is critical for synaptic plasticity necessary for transition to addiction.

neuroscience↗