Biology subjects

Xu, Y.

Publications and source records attributed to Xu, Y..

At least 865 records · Page 48Linked to original sources

bioRxiv2020

Structure-Based Design, Synthesis and Biological Evaluation of Peptidomimetic Aldehydes as a Novel Series of Antiviral Drug Candidates Targeting the SARS-CoV-2 Main Protease

SARS-CoV-2 is the etiological agent responsible for the COVID-19 outbreak in Wuhan. Specific antiviral drug are urgently needed to treat COVID-19 infections. The main protease (Mpro) of SARS-CoV-2 is a key CoV enzyme that plays a pivotal role in mediating viral replication and transcription, which makes it an attractive drug target. In an effort to rapidly discover lead compounds targeting Mpro, two compounds (11a and 11b) were designed and synthesized, both of which exhibited excellent inhibitory activity with an IC50 value of 0.05 M and 0.04 M respectively. Significantly, both compounds exhibited potent anti-SARS-CoV-2 infection activity in a cell-based assay with an EC50 value of 0.42 M and 0.33 M, respectively. The X-ray crystal structures of SARS-CoV-2 Mpro in complex with 11a and 11b were determined at 1.5 [A] resolution, respectively. The crystal structures showed that 11a and 11b are covalent inhibitors, the aldehyde groups of which are bound covalently to Cys145 of Mpro. Both compounds showed good PK properties in vivo, and 11a also exhibited low toxicity which is promising drug leads with clinical potential that merits further studies.

biochemistry↗

bioRxiv2020

Foundation species across a latitudinal gradient in China

AbstractFoundation species play important roles in structuring forest communities and ecosystems. Foundation species are difficult to identify without long-term observations or experiments and their foundational roles rarely are identified before they are declining or threatened. We used new statistical criteria based on size-frequency distributions, species diversity, and spatial codispersion among woody plants to identify potential ("candidate") foundation species in 12 large forest dynamics plots spanning 26 degrees of latitude in China. We used these data to identify a suite of candidate foundation species in Chinese forests; test the hypothesis that foundation woody plant species are more frequent in the temperate zone than in the tropics; and compare these results with comparable data from the Americas to suggest candidate foundation genera in Northern Hemisphere forests. We identified more candidate foundation species in temperate plots than in subtropical or tropical plots, and this relationship was independent of the latitudinal gradient in overall species richness. Two species of Acer, the canopy tree Acer ukurunduense and the shrubby treelet Acer barbinerve were the only two species that met both criteria in full to be considered as candidate foundation species. When we relaxed the diversity criteria, Acer, Tilia, and Juglans spp., and Corlyus mandshurica were frequently identified as candidate foundation species. In tropical plots, the tree Mezzettiopsis creaghii and the shrubs or treelets Aporusa yunnanensis and Ficus hispida had some characteristics associated with foundation species. Species diversity of co-occurring woody species was negatively associated with basal area of candidate foundation species more frequently at 5- and 10-m spatial grains (scale) than at a 20-m grain. Conversely, Bray-Curtis dissimilarity was positively associated with basal area of candidate foundation species more frequently at 5-m than at 10- or 20-m grains. Our data support the hypothesis that foundation species should be more common in temperate than in tropical or boreal forests, and suggest that in the Northern Hemisphere that Acer be investigated further as a foundation tree genus.

ecology↗

bioRxiv2020

Limited correspondence in visual representation between the human brain and convolutional neural networks

Convolutional neural networks (CNNs) have achieved very high object categorization performance recently. It has increasingly become a common practice in human fMRI research to regard CNNs as working model of the human visual system. Here we reevaluate this approach by comparing fMRI responses from the human brain in three experiments with those from 14 different CNNs. Our visual stimuli included original and filtered versions of real-world object images and images of artificial objects. Replicating previous findings, we found a brain-CNN correspondence in a number of CNNs with lower and higher levels of visual representations in the human brain better resembling those of lower and higher CNN layers, respectively. Moreover, the lower layers of some CNNs could fully capture the representational structure of human early visual areas for both the original and filtered real-world object images. Despite these successes, no CNN examined could fully capture the representational structure of higher human visual processing areas. They also failed to capture that of artificial object images in all levels of visual processing. The latter is particularly troublesome, as decades of vision research has demonstrated that the same algorithms used in the processing of natural images would support the processing of artificial visual stimuli in the primate brain. Similar results were obtained when a CNN was trained with stylized object images that emphasized shape representation. CNNs likely represent visual information in fundamentally different ways from the human brain. Current CNNs thus may not serve as sound working models of the human visual system. Significance StatementRecent CNNs have achieved very high object categorization performance, with some even exceeding human performance. It has become common practice in recent neuroscience research to regard CNNs as working models of the human visual system. Here we evaluate this approach by comparing fMRI responses from the human brain with those from 14 different CNNs. Despite CNNs ability to successfully perform visual object categorization like the human visual system, they appear to represent visual information in fundamentally different ways from the human brain. Current CNNs thus may not serve as sound working models of the human visual system. Given the current dominating trend of incorporating CNN modeling in visual neuroscience research, our results question the validity of such an approach.

neuroscience↗

bioRxiv2020

Rhesus macaques can be effectively infected with SARS-CoV-2 via ocular conjunctival route

The outbreak of Corona Virus Disease 2019 caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) is highly transmitted. The potential extra-respiratory transmission routes remain uncertain. Five rhesus macaques were inoculated with 1x106 TCID50 of SARS-CoV-2 via conjunctival (CJ), intratracheal (IT), and intragastric (IG) routes, respectively. Remarkably, the CJ inoculated-macaques developed mild interstitial pneumonia and viral load was detectable in the conjunctival swabs at 1 days post-inoculation (dpi). Only via IT inoculation, viral load was detected in the anal swab at 1-7 dpi and macaque showed weight loss. However, viral load was undetectable after IG inoculation. Comparatively, viral load was higher in the nasolacrimal system but lesions of lung were relatively mild and local via CJ inoculation compared with that via IT inoculation, demonstrating distinct characteristics of virus dispersion. Both the two routes affected the alimentary tract. Therefore the clinicians need to protect eye while working with patients.

microbiology↗

bioRxiv2020

Reinfection could not occur in SARS-CoV-2 infected rhesus macaques

A global pandemic of Corona Virus Disease 2019 (COVID-19) caused by severe acute respiratory syndrome CoV-2 (SARS-CoV-2) is ongoing spread. It remains unclear whether the convalescing patients have a risk of reinfection. Rhesus macaques were rechallenged with SARS-CoV-2 during an early recovery phase from initial infection characterized by weight loss, interstitial pneumonia and systemic viral dissemination mainly in respiratory and gastrointestinal tracts. The monkeys rechallenged with the identical SARS-CoV-2 strain have failed to produce detectable viral dissemination, clinical manifestations and histopathological changes. A notably enhanced neutralizing antibody response might contribute the protection of rhesus macaques from the reinfection by SARS-CoV-2. Our results indicated that primary SARS-CoV-2 infection protects from subsequent reinfection. One Sentence SummaryNeutralizing antibodies against SARS-CoV-2 might protect rhesus macaques which have undergone an initial infection from reinfection during early recovery days.

microbiology↗

bioRxiv2020

A New tet(X6) Tigecycline Resistance Determinant Co-carried with mcr-1 by A Single Plasmid

Tigecycline and colistin are few of last-resort defenses used in anti-infection therapies against carbapenem-resistant bacterial pathogens. The successive emergence of plasmid-borne tet(X) tigecycline resistance mechanism and mobile colistin resistance (mcr) determinant, renders them clinically ineffective, posing a risky challenge to global public health. Here, we report that co-carriage of tet(X6) and mcr-1 gives co-resistance to both classes of antibiotics by a single plasmid in E. coli. Genomic analysis suggested that transposal transfer of mcr-1 proceeds into the plasmid pMS8345A, in which a new variant tet(X6) is neighbored with Class I integron. The structure-guided mutagenesis finely revealed the genetic determinants of Tet(X6) in the context of phenotypic tigecycline resistance. The combined evidence in vitro and in vivo demonstrated its enzymatic action of Tet(X6) in the destruction of tigecycline. The presence of Tet(X6) (and/or MCR-1) robustly prevents the accumulation of reactive oxygen species (ROS) induced by tigecycline (and/or colistin). Unlike that mcr-1 exerts fitness cost in E. coli, tet(X6) does not. In the tet(X6)-positive strain that co-harbors mcr-1, tigecycline resistance is independently of colistin resistance caused by MCR-1-mediated lipid A remodeling, and vice versa. Co-production of Tet(X6) and MCR-1 gives no synergistic delayed growth of the recipient E. coli. Similar to that MCR-1 behaves in the infection model of G. mellonella, Tet(X6) renders the treatment of tigecycline ineffective. Therefore, co-transfer of such two AMR genes is of great concern in the context of "one health" comprising environmental/animal/human sectors, and heightened efforts are required to monitor its dissemination. Author summaryWe report that tet(X6), a new tigecycline resistance gene, is co-carried with the other resistance gene mcr-1 by a single plasmid. Not only have we finely mapped genetic determinants of tet(X6), but also revealed its biochemical action of tigecycline destruction. Crosstalk of Tet(X6) with MCR-1 is addressed. Tet(X6) tigecycline resistance is independently of MCR-1 colistin resistance, and vice versa. Similar to MCR-1 that renders colistin clinically ineffective, Tet(X6) leads to the failure of tigecycline treatment in the infection model of G. mellonella. This study extends mechanistic understanding mechanism and interplay of Tet(X6) and MCR-1, coproduced by a single plasmid. It also heightens the need to prevent rapid and large-scaled spread of AMR.

biochemistry↗

bioRxiv2020

A single-cell analysis of the molecular lineage of chordate embryogenesis

In multicellular organisms, a single zygote develops along divergent lineages to produce distinct cell types. What governs these processes is central to the understanding of cell fate specification and stem cell engineering. Here we used the protochordate model Ciona savignyi to determine gene expression profiles of every cell of single embryos from fertilization through the onset of gastrulation and provided a comprehensive map of chordate early embryonic lineage specification. We identified 47 cell types across 8 developmental stages up to the 110-cell stage in wild type embryos and 8 fate transformations at the 64-cell stage upon FGF-MAPK inhibition. The identities of all cell types were evidenced by in situ expression pattern of marker genes and expected number of cells based on the invariant lineage. We found that, for the majority of asymmetrical cell divisions, the bipotent mother cell shows predominantly the gene signature of one of the daughter fates, with the other daughter being induced by subsequent signaling. Our data further indicated that the asymmetric segregation of mitochondria in some of these divisions does not depend on the concurrent fate inducing FGF-MAPK signaling. In the notochord, which is an evolutionary novelty of chordates, the convergence of cell fate from two disparate lineages revealed modular structure in the gene regulatory network beyond the known master regulator T/Brachyury. Comparison to single cell transcriptomes of the early mouse embryo showed a clear match of cell types at the tissue level and supported the hypothesis of developmental-genetic toolkit. This study provides a high-resolution single cell dataset to understand chordate embryogenesis and the relationship between fate trajectories and the cell lineage. HighlightsO_LITranscriptome profiles of 47 cell types across 8 stages in early chordate embryo C_LIO_LIBipotent mother in asymmetric division shows the default daughter fate C_LIO_LIModular structure of the notochord GRN beyond the known function of T C_LIO_LIInvariant lineage and manual cell isolation provide truth to trajectory analysis C_LI

developmental biology↗

bioRxiv2020

Shape-to-graph Mapping Method for Efficient Characterization and Classification of Complex Geometries in Biological Images

With the ever-increasing quality and quantity of imaging data in biomedical research comes the demand for computational methodologies that enable efficient and reliable automated extraction of the quantitative information contained within these images. One of the challenges in providing such methodology is the need for tailoring algorithms to the specifics of the data, limiting their areas of application. Here we present a broadly applicable approach to quantification and classification of complex shapes and patterns in biological or other multi-component formations. This approach integrates the mapping of all shape boundaries within an image onto a global information-rich graph and machine learning on the multidimensional measures of the graph. We demonstrated the power of this method by (1) extracting subtle structural differences from visually indistinguishable images in our phenotype rescue experiments using the endothelial tube formations assay, (2) training the algorithm to identify biophysical parameters underlying the formation of different multicellular networks in our simulation model of collective cell behavior, and (3) analyzing the response of U2OS cell cultures to a broad array of small molecule perturbations. Author SummaryIn this paper, we present a methodology that is based on mapping an arbitrary set of outlines onto a complete, strictly defined structure, in which every point representing the shape becomes a terminal point of a global graph. Because this mapping preserves the whole complexity of the shape, it allows for extracting the full scope of geometric features of any scale. Importantly, an extensive set of graph-based metrics in each image makes integration with machine learning routines highly efficient even for a small data sets and provide an opportunity to backtrack the subtle morphological features responsible for the automated distinction into image classes. The resulting tool provides efficient, versatile, and robust quantification of complex shapes and patterns in experimental images.

bioinformatics↗

bioRxiv2020

Structure-based drug design, virtual screening and high-throughput screening rapidly identify antiviral leads targeting COVID-19

A new coronavirus (CoV) identified as COVID-19 virus is the etiological agent responsible for the 2019-2020 viral pneumonia outbreak that commenced in Wuhan1-4. Currently there is no targeted therapeutics and effective treatment options remain very limited. In order to rapidly discover lead compounds for clinical use, we initiated a program of combined structure-assisted drug design, virtual drug screening and high-throughput screening to identify new drug leads that target the COVID-19 virus main protease (Mpro). Mpro is a key CoV enzyme, which plays a pivotal role in mediating viral replication and transcription, making it an attractive drug target for this virus5,6. Here, we identified a mechanism-based inhibitor, N3, by computer-aided drug design and subsequently determined the crystal structure of COVID-19 virus Mpro in complex with this compound. Next, through a combination of structure-based virtual and high-throughput screening, we assayed over 10,000 compounds including approved drugs, drug candidates in clinical trials, and other pharmacologically active compounds as inhibitors of Mpro. Six of these inhibit Mpro with IC50 values ranging from 0.67 to 21.4 M. Ebselen also exhibited promising antiviral activity in cell-based assays. Our results demonstrate the efficacy of this screening strategy, which can lead to the rapid discovery of drug leads with clinical potential in response to new infectious diseases where no specific drugs or vaccines are available.

biochemistry↗

bioRxiv2020

CRISPR Screen in Regulatory T Cells Reveals Ubiquitination Modulators of Foxp3

Regulatory T cells (Tregs) are required to control immune responses and maintain homeostasis but are a significant barrier to anti-tumor immunity1. Conversely, Treg instability, characterized by loss of the master transcription factor Foxp3 and acquisition of pro-inflammatory properties2, can promote autoimmunity and/or facilitate more effective tumor immunity3,4. A comprehensive understanding of the pathways that regulate Foxp3 could lead to more effective Treg therapies for autoimmune disease and cancer. Despite improved functional genetic tools that now allow for systematic interrogation, dissection of the gene regulatory programs that modulate Foxp3 expression has not yet been reported. In this study, we developed a CRISPR-based pooled screening platform for phenotypes in primary mouse Tregs and applied this technology to perform a targeted loss-of-function screen of [~]490 nuclear factors to identify gene regulatory programs that promote or disrupt Foxp3 expression. We discovered several novel modulators including ubiquitin-specific peptidase 22 (Usp22), Ataxin 7 like 3 (Atxn7l3) and ring finger protein 20 (Rnf20). Members of the deubiquitination module of the SAGA chromatin modifying complex, Usp22 and Atxn7l3, were discovered to be positive regulators that stabilized Foxp3 expression; whereas the screen suggested Rnf20, an E3 ubiquitin ligase, is a negative regulator of Foxp3. Treg-specific ablation of Usp22 in mice reduced Foxp3 protein and created defects in their suppressive function that led to spontaneous autoimmunity but protected against tumor growth in multiple cancer models. Foxp3 destabilization in Usp22-deficient Tregs could be rescued by ablation of Rnf20, revealing a reciprocal ubiquitin switch in Tregs. These results reveal novel modulators of Foxp3 and demonstrate a screening method that can be broadly applied to discover new targets for Treg immunotherapies for cancer and autoimmune disease.

immunology↗

bioRxiv2020

C. elegans processes sensory information to choose between freeloading and self-defense strategies

Hydrogen peroxide is the preeminent chemical weapon that organisms use for combat. Individual cells rely on conserved defenses to prevent and repair peroxide-induced damage, but whether similar defenses might be coordinated across cells in animals remains poorly understood. Here, we identify a neuronal circuit in the nematode Caenorhabditis elegans that processes information perceived by two sensory neurons to control the induction of hydrogen-peroxide defenses in the organism. We found that catalases produced by Escherichia coli, the nematodes food source, can deplete hydrogen peroxide from the local environment and thereby protect the nematodes. In the presence of E. coli, the nematodes neurons signal via TGF{beta}-insulin/IGF1 relay to target tissues to repress expression of catalases and other hydrogen-peroxide defenses. This adaptive strategy is the first example of a multicellular organism modulating its defenses when it expects to freeload from the protection provided by molecularly orthologous defenses from another species.

neuroscience↗

bioRxiv2020

The transcription factor Hhex cooperates with the corepressor Tle3 to promote memory B cell development

Memory B cells (MBCs) are essential for long-lived humoral immunity. However, the transcription factors (TFs) involved in MBC differentiation are poorly defined. Here, by single cell RNAseq analysis, we identified a population of germinal center (GC) B cells in the process of differentiating into MBCs. Using an inducible Crispr/Cas9 screening approach we identified the hematopoietically-expressed homeobox gene Hhex as a transcription factor regulating MBC differentiation. The co-repressor Tle3 was also identified in the screen and was found to interact with Hhex. Bcl6 directly repressed Hhex in GC B cells. Reciprocally, Hhex-deficient MBCs exhibited derepressed Bcl6 and reduced expression of Bcl6-repressed Bcl2. Overexpression of Bcl2 was able to rescue MBC differentiation in Hhex-deficient cells. We also identified Ski as an Hhex-induced transcription factor involved in MBC differentiation. These findings establish an important role for Hhex-Tle3 in regulating the transcriptional circuitry governing MBC differentiation.

immunology↗

bioRxiv2020

The CEPR2-mediated phosphorylation of NRT1.2 mainly regulates ABA import in Arabidopsis

Abscisic acid (ABA) transport plays important role in systematic plant responses to environmental factors. Here, we showed that C-terminally encoded peptide receptor 2 (CEPR2) directly interacted with the ABA transporter NRT1.2. Using transgenic seedlings, we demonstrated that NRT1.2 positively regulated the ABA response, and that CEPR2 acted on NRT1.2 epistatically and negatively. Under normal conditions, CEPR2 phosphorylated NRT1.2 at least at serine 292 to promote the degradation of NRT1.2. However, ABA and serine 292 nonphospharylation strongly inhibited the degradation of NRT1.2, indicating that ABA-inhibited the phosphorylation of NRT1.2. Transport assays in yeast and Xenopus oocytes showed that nonphosphorylated NRT1.2 had high levels of ABA-import activity, but phosphorylated NRT1.2 did not import ABA. Analyses of complement nrt1.2 mutants by mimicking nonphospharylated and phospharylated NRT1.2 confirmed that nonphospharylated NRT1.2S292A had high stability and ABA import activity in planta. Further experiments indicated that NRT1.2 was degraded via the 26S proteasome and vacuolar degradation pathways. UBC32, UBC33, and UBC34 interacted with, and mediated the ubiquitination of NRT1.2. UBC32, UBC33, and UBC34 acted on NRT1.2 epistatically and negatively in planta. Thus, our results suggested the existence of novel plant mechanisms regulating NRT1.2 stability and ABA import activity in response to environmental conditions.

molecular biology↗

bioRxiv2020

Learning polygenic scores for human blood cell traits

Polygenic scores (PGSs) for blood cell traits can be constructed using summary statistics from genome-wide association studies. As the selection of variants and the modelling of their interactions in PGSs may be limited by univariate analysis, therefore, such a conventional method may yield sub-optional performance. This study evaluated the relative effectiveness of four machine learning and deep learning methods, as well as a univariate method, in the construction of PGSs for 26 blood cell traits, using data from UK Biobank (n=~400,000) and INTERVAL (n=~40,000). Our results showed that learning methods can improve PGSs construction for nearly every blood cell trait considered, with this superiority explained by the ability of machine learning methods to capture interactions among variants. This study also demonstrated that populations can be well stratified by the PGSs of these blood cell traits, even for traits that exhibit large differences between ages and sexes, suggesting potential for disease prevention. As our study found genetic correlations between the PGSs for blood cell traits and PGSs for several common human diseases (recapitulating well-known associations between the blood cell traits themselves and certain diseases), it suggests that blood cell traits may be indicators or/and mediators for a variety of common disorders via shared genetic variants and functional pathways.

genetics↗

bioRxiv2020

Functional principal component based time-series genome-wide association in sorghum

The phenotypes of plants develop over time and change in response to the environment. New engineering and computer vision technologies track phenotypic change over time. Identifying genetic loci regulating differences in the pattern of phenotypic change remains challenging. In this study we used functional principal component analysis (FPCA) to achieve this aim. Time-series phenotype data was collected from a sorghum diversity panel using a number of technologies including RGB and hyperspectral imaging. Imaging lasted for thirty-seven days centered on reproductive transition. A new higher density SNP set was generated for the same population. Several genes known to controlling trait variation in sorghum have been cloned and characterized. These genes were not confidently identified in genome-wide association analyses at single time points. However, FPCA successfully identified the same known and characterized genes. FPCA analyses partitioned the role these genes play in controlling phenotype. Partitioning was consistent with the known molecular function of the individual cloned genes. FPCA-based genome-wide association studies can enable robust time-series mapping analyses in a wide range of contexts. Time-series analysis can increase the accuracy and power of quantitative genetic analyses.

plant biology↗

bioRxiv2020

Revealing Atomic-scale Molecular Diffusion of a Plant Transcription Factor WRKY domain protein along DNA

Transcription factor (TF) target search on genome is highly essential for gene expression and regulation. High-resolution determination of TF diffusion along DNA remains technically challenging. Here we constructed a TF model system of the plant WRKY domain protein in complex with DNA from crystallography and demonstrated microsecond diffusion dynamics of WRKY on the DNA employing all-atom molecular dynamics (MD) simulations. Notably, we found that WRKY preferentially binds to the Crick strand of DNA with significantly stronger energetic association than to the Watson strand. The preferential binding becomes highly prominent from non-specific to specific DNA binding, but less distinct from static binding to diffusive movements of WRKY on the DNA. Remarkably, without employing acceleration forces or bias, we captured a complete one-base pair (bp) stepping cycle of WRKY tracking along major groove of DNA with homogenous (AT)n sequence, as individual protein-DNA contacts break and reform at the binding interface. Continuous tracking of WRKY forward or backward, with occasional sliding as well as strand crossing to the minor groove of DNA, have also been captured in the simulation. The processive diffusion of WRKY had been confirmed by accompanied single-molecule fluorescence assays and coarse-grained (CG) structural simulations. The study thus provides unprecedented structural dynamics details on the TF diffusion, suggests how TF possibly approaches to gene target, and supports further high-precision experimental follow-up. The stochastic movements revealed in the TF diffusion also provide general clues on how other nucleic acid walkers step and slide along DNA. Significance StatementHow transcription factors search for target genes impact on how quickly and accurately the genes are transcribed and expressed. To locate target sufficiently fast, 1D diffusion of the protein along DNA appears essential. Experimentally, it remains challenging to determine diffusional steps of protein on DNA. Here, we report all-atom equilibrium simulations of a WRKY protein binding and diffusing on DNA, revealing structural dynamics details which have not been identified previously. We unprecedently demonstrate a complete stepping cycle of the protein for one base pair on DNA within microseconds, along with stochastic stepping or sliding, directional switching, and strand crossing. Additionally, we have found preferential DNA strand association of WRKY. These suggest how protein factors approach toward target DNA sequences.

biophysics↗

bioRxiv2020

A Myosin-7B dependent endocytosis pathway mediates cellular entry of α-Synuclein fibrils and polycation-bearing cargos

Cell-to-cell transmission of misfolding-prone -Synuclein (-Syn) has emerged as a key pathological event in Parkinsons disease. This process is initiated when -Syn-bearing fibrils enter cells via clathrin-mediated endocytosis, but the underlying mechanisms are unclear. Using a CRISPR-mediated knockout screen, we identify SLC35B2 and Myosin-7B (MYO7B) as critical endocytosis regulators for -Syn preformed fibrils (PFF). We show that SLC35B2, as a key regulator of heparan sulfate proteoglycan (HSPG) biosynthesis, is essential for recruiting -Syn PFF to the cell surface because this process is mediated by interactions between negatively charged sugar moieties of HSPGs and clustered K-T-K motifs in -Syn PFF. By contrast, MYO7B regulates -Syn PFF entry by maintaining a plasma-membrane-associated actin network that controls membrane dynamics. Without MYO7B or actin filaments, many clathrin-coated pits fail to be severed from the membrane, causing accumulation of large clathrin-containing scars on the cell surface. Intriguingly, the requirement for MYO7B in endocytosis is only restricted to -Syn PFF and other cargos that enter cells via HSPGs. Thus, by identifying new regulatory factors for -Syn PFF endocytosis, our study defines a mechanistically distinct clathrin-mediated endocytosis pathway that requires additional force generated by MYO7B and actin filaments. SignificanceThe spreading of misfolded protein aggregates such as -Synuclein preformed fibrils (-Syn PFF) from cell to cell is a pathologic hallmark associated with the progression of many neurodegenerative diseases, but it is unclear how mammalian cells take up these large protein aggregates to initiate this prion-like protein transmission process. Here we define the mechanism of -Syn PFF endocytosis using a combination of genetic, biochemical, and live-cell imaging techniques. Our study reveals how -Syn PFF binds to the cell surface heparan sulfate proteoglycans using two lysine-bearing motifs and then enters cells following a Myosin-7B- and actin-dependent endocytosis mechanism that is specifically tailored for polycation-bearing cargos.

cell biology↗

bioRxiv2020

One New Species of the Genus Dryomys (Rodentia, Glirgae) from Xinjiang China, Dryomys Yarkandensis sp. nov

During an expedition in June 2012 in Shache county of Tarim Basin in southern Xinjiang, China, a new species of the genus Dryomys (Gliridae) has been discovered and named Dryomys yarkandensis sp. nov. It has been found obviously different from D. nitedulai in northern Xinjiang, D. laniger, D. niethammeri and D. nitedulai in Europe, which are also belong to genus Dryomys. The new species Dryomys yarkandensis sp. nov is described below. HolotypeNo. N07, an adult female collected by Chen Zhenhai in June 2012, is deposited Center for disease prevention and control of Xinjiang (Xinjiang CDC). It was obtained from oasis orchard of desert in Tarim Basin (38{degrees}29N, 77{degrees}32E), 1211-1215 m. Genus characterThere is a dark chestnut round eye. The terminal of tail is club shape, covered with dense hairs, and cannot see the scale ring in external texture. Description of the speciesThe eyes is large. The beard is long and the longest could reach 30 mm. The tail is thicker and slightly longer than body length about 10%. The terminal of the tail is fluffy. All the surface is covered with dense hairs. External figureThe color of the new species on the back is lighter than that of D. laniger, D. niethammeri and D. nitedulai in Dryomys. The length of the tail is about 110% of the body length. The length of the ears is 12.8 mm, which is 15% shorter than the other three species of Dryomys. Skull and toothThe ratio between the length of audirory bullae and the breadth of auditory bullae is 1.66 (8.35/5.02), which is larger than the other three species of D. nitedula. The habitats of the new species is harsh, drought and hot in summer but dry and cold in winter. The habitats of D. nitedula in mountain valley in northern Xinjiang is temperate, humidity and low temperature, and there are berries or orchard.

zoology↗