Biology subjects

Zhang, L.

Publications and source records attributed to Zhang, L..

At least 1,405 records · Page 78Linked to original sources

bioRxiv2020

Large-scale Phenotypic Drug Screen Identifies Neuroprotectants in Zebrafish and Mouse Models of Retinitis Pigmentosa

Retinitis pigmentosa (RP) and associated inherited retinal diseases (IRDs) are caused by rod photoreceptor degeneration, necessitating therapeutics promoting rod photoreceptor survival. To address this, we tested compounds for neuroprotective effects in zebrafish and mouse RP models, reasoning drugs effective across species may translate better clinically. We first performed a large-scale phenotypic drug screen using a larval zebrafish model of inducible RP. 2,934 compounds, mostly human-approved drugs, were tested across six concentrations. Statistically, 113 compounds achieved "hit" status. Secondary tests of 42 high-priority hits confirmed eleven lead compounds. Nine leads were then evaluated in mouse RP models, with six exhibiting neuroprotective effects. An analysis of potential mechanisms of action suggested complementary activities. Paired lead compound assays in zebrafish showed additive neuroprotective effects for the majority. These results highlight the value of cross-species phenotypic drug discovery and suggest combinatorial drug therapies may provide enhanced therapeutic benefits for patients with RP and IRDs.

neuroscience↗

bioRxiv2020

Potent human neutralizing antibodies elicited by SARS-CoV-2 infection

The pandemic caused by emerging coronavirus SARS-CoV-2 presents a serious global public health emergency in urgent need of prophylactic and therapeutic interventions. SARS-CoV-2 cellular entry depends on binding between the viral Spike protein receptor-binding domain (RBD) and the angiotensin converting enzyme 2 (ACE2) target cell receptor. Here, we report on the isolation and characterization of 206 RBD-specific monoclonal antibodies (mAbs) derived from single B cells of eight SARS-CoV-2 infected individuals. These mAbs come from diverse families of antibody heavy and light chains without apparent enrichment for particular families in the repertoire. In samples from one patient selected for further analyses, we found coexistence of germline and germline divergent clones. Both clone types demonstrated impressive binding and neutralizing activity against pseudovirus and live SARS-CoV-2. However, the antibody neutralizing potency is determined by competition with ACE2 receptor for RBD binding. Surprisingly, none of the SARS-CoV-2 antibodies nor the infected plasma cross-reacted with RBDs from either SARS-CoV or MERS-CoV although substantial plasma cross-reactivity to the trimeric Spike proteins from SARS-CoV and MERS-CoV was found. These results suggest that antibody response to RBDs is viral species-specific while that cross-recognition target regions outside the RBD. The specificity and neutralizing characteristics of this plasma cross-reactivity requires further investigation. Nevertheless, the diverse and potent neutralizing antibodies identified here are promising candidates for prophylactic and therapeutic SARS-CoV-2 interventions.

immunology↗

bioRxiv2020

Screening for functional circular RNAs using the CRISPR-Cas13 system

Circular RNAs (circRNAs) produced from back-spliced exons are widely expressed, but individual circRNA functions remain poorly understood due to inadequate methods, such as RNAi and genome engineering, in distinguishing overlapped exons in circRNAs from those in linear cognate mRNAs1,2. Here we report that the programable RNA-guided, RNA-targeting CRISPR-Cas13, RfxCas13d, effectively and specifically discriminates circRNAs from mRNAs, using guide (g)RNAs targeting sequences spanning the back-splicing junction (BSJ) sites featured in RNA circles. Using a lentiviral library that targets sequences across BSJ sites of highly expressed human circRNAs, we show that a group of circRNAs are important for cell growth mostly in a cell-type specific manner and that a common oncogenic circRNA, circFAM120A, promotes cell proliferation in vitro and in vivo by preventing FAM120A mRNA from binding the translation inhibitor IGF2BP2 for efficient translation. Application of RfxCas13d/BSJ-gRNA screening has also uncovered circMan1a2 with regulatory potential in mouse embryo preimplantation development. Together, these results establish CRISPR-RfxCas13d as a useful tool for the discovery and functional study of circRNAs at both individual and large-scale levels.

molecular biology↗

bioRxiv2020

FEP-based screening prompts drug repositioning against COVID-19

Coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a global crisis. There is no therapeutic treatment specific for COVID-19. It is highly desirable to identify potential antiviral agents against SARS-CoV-2 from existing drugs available for other diseases and, thus, repurpose them for treatment of COVID-19. In general, a drug repurposing effort for treatment of a new disease, such as COVID-19, usually starts from a virtual screening of existing drugs, followed by experimental validation, but the actual hit rate is generally rather low with traditional computational methods. Here we report a new virtual screening approach with accelerated free energy perturbation-based absolute binding free energy (FEP-ABFE) predictions and its use in identifying drugs targeting SARS-CoV-2 main protease (Mpro). The accurate FEP-ABFE predictions were based on the use of a new restraint energy distribution (RED) function designed to accelerate the FEP-ABFE calculations and make the practical FEP-ABFE-based virtual screening of the existing drug library possible for the first time. As a result, out of twenty-five drugs predicted, fifteen were confirmed as potent inhibitors of SARS-CoV-2 Mpro. The most potent one is dipyridamole (Ki=0.04 M) which has showed promising therapeutic effects in subsequently conducted clinical studies for treatment of patients with COVID-19. Additionally, hydroxychloroquine (Ki=0.36 M) and chloroquine (Ki=0.56 M) were also found to potently inhibit SARS-CoV-2 Mpro for the first time. We anticipate that the FEP-ABFE prediction-based virtual screening approach will be useful in many other drug repurposing or discovery efforts. Significance StatementDrug repurposing effort for treatment of a new disease, such as COVID-19, usually starts from a virtual screening of existing drugs, followed by experimental validation, but the actual hit rate is generally rather low with traditional computational methods. It has been demonstrated that a new virtual screening approach with accelerated free energy perturbation-based absolute binding free energy (FEP-ABFE) predictions can reach an unprecedently high hit rate, leading to successful identification of 16 potent inhibitors of SARS-CoV-2 main protease (Mpro) from computationally selected 25 drugs under a threshold of Ki = 4 M. The outcomes of this study are valuable for not only drug repurposing to treat COVID-19, but also demonstrating the promising potential of the FEP-ABFE prediction-based virtual screening approach.

biophysics↗

bioRxiv2020

Potentiating the anti-tumor response of tumor infiltrated T cells by NAD+ supplementation

Tumor immunotherapies have provided clinical benefits, yet great potential remains for optimizing therapeutic effects. Here, we show that low NAD+ levels restrict the function of tumor infiltrating T lymphocytes (TILs). TILs harvested from human ovarian tumor tissues showed decreased NAD+ levels compared with T cells from paired peripheral blood samples. The combination of whole-genome CRISPR and large-scale metabolic inhibitor screens implicated the NAD+ biosynthesis enzyme nicotinamide phosphoribosyltransferase (NAMPT) is required for T cell activation. Further isotopic labeling and LC-MS studies confirmed that NAD+ depletion suppressed mitochondrial energy biosynthesis in T cells. Excitingly, NAD+ supplementation significantly enhanced the tumor cell-killing efficacy of CAR-T cells ex vivo, and extended animal survive in both adoptive CAR-T model and immune checkpoint blockade treatment models in vivo. This study demonstrates an over-the-counter nutrient supplement NAD+ could robustly boost the efficacy of T cell-based immunotherapy and provides insights into the cellular basis of T cell metabolic reprogramming in treating cancers. One Sentence SummaryNAD+ supplementation during cancer immunotherapies significantly enhances T cell activation and tumor killing capacity.

immunology↗

bioRxiv2020

IDH1 Mutations Induce Organelle Defects Via Dysregulated Phospholipids

Cytosolic IDH1 enzyme plays a key, but currently unexplored, role in lipid biosynthesis. Using Raman imaging microscopy, we identified heterogeneous lipid profiles in cellular organelles attributed uniquely to IDH1 mutations. Via organelle lipidomics, we found an increase in saturated and monounsaturated fatty acids in the endoplasmic reticulum of IDH1mut cells compared with IDHWT glioma. We showed that these fatty acids incorporate into phospholipids and induce organelle dysfunctions, with prominent dilation of Golgi apparatus, which can be restored by transient knockdown of stearyl-CoA desaturase or inhibition of D-2-hydroxyglutarate (D-2HG) formation. We validated these findings using tissue from patients with glioma. Oleic acid addition led to increased sensitivity to apoptosis of IDH1mut cells compared with IDHWT. Addition of D-2HG to U251WT cells lead in increased ER and Golgi apparatus dilation. Collectively, these studies provide clinically relevant insights into the functional link between IDH1mut-induced lipid alterations and organelle dysfunction, with therapeutic implications. SignificanceGliomas are devastating tumors, with the most aggressive form--glioblastoma multiforme-- correlated with a mean patient survival of 14.5 months. No curative treatment exists to date. Low-grade glioma (LGG) with the isocitrate dehydrogenase 1 (IDH1) mutation, R132H, provides a survival benefit to patients. Understanding the unique metabolic profile of IDH1mut could provide clues regarding its association with longer survival and information about therapeutic targets. Herein, we identified lipid imbalances in organelles, generated by IDHmut in cells and patient tissue, that were responsible for Golgi dilation and that correlated with increased survival. Addition of oleic acid, which tilted the balance towards elevated levels of monounsaturated fatty acids produced IDH1mut-specific cellular apoptosis. HighlightsO_LISingle-organelle omics revealed unique alterations in lipid metabolism due to IDH1-mutations. C_LIO_LIIDH mutation leads to organelle-wide structural defects. C_LIO_LIIDH1 mutation leads to increased monounsaturated fatty acids levels in glioma cells and oligodendroglioma patient samples. C_LIO_LILipid alterations affect the membrane integrity of the Golgi apparatus. C_LIO_LIIncreased D-2HG induced SCD expression and elevated monounsaturated fatty acids C_LIO_LITilting the balance toward more-abundant monounsaturated fatty acids leads to specific IDH1mut glioma apoptosis. C_LI

cancer biology↗

bioRxiv2020

Structure of RNA-dependent RNA polymerase from 2019-nCoV, a major antiviral drug target

A novel coronavirus (2019-nCoV) outbreak has caused a global pandemic resulting in tens of thousands of infections and thousands of deaths worldwide. The RNA-dependent RNA polymerase (RdRp, also named nsp12), which catalyzes the synthesis of viral RNA, is a key component of coronaviral replication/transcription machinery and appears to be a primary target for the antiviral drug, remdesivir. Here we report the cryo-EM structure of 2019-nCoV full-length nsp12 in complex with cofactors nsp7 and nsp8 at a resolution of 2.9-[A]. Additional to the conserved architecture of the polymerase core of the viral polymerase family and a nidovirus RdRp-associated nucleotidyltransferase (NiRAN) domain featured in coronaviral RdRp, nsp12 possesses a newly identified {beta}-hairpin domain at its N-terminal. Key residues for viral replication and transcription are observed. A comparative analysis to show how remdesivir binds to this polymerase is also provided. This structure provides insight into the central component of coronaviral replication/transcription machinery and sheds light on the design of new antiviral therapeutics targeting viral RdRp. One Sentence SummaryStructure of 2019-nCov RNA polymerase.

biochemistry↗

bioRxiv2020

MMS2plot: an R package for visualizing multiple MS/MS spectra for groups of modified and non-modified peptides

A large number of post-translational modifications (PTMs) in proteins are buried in the unassigned mass spectrometric (MS) spectra in shot-gun proteomics datasets. Because the modified peptide fragments are low in abundance relative to the corresponding non-modified versions, it is critical to develop tools that allow facile evaluation of assignment of PTMs based on the MS/MS spectra. Such tools would preferably have the ability to allow comparison of fragment ion spectra and retention time between the modified and unmodified peptide pairs or group. Herein, we describe MMS2plot, an R package for visualizing peptide-spectrum matches (PSMs) for multiple peptides. MMS2plot features a batch mode and generates the output images in vector graphics file format that facilitate evaluation and publication of the PSM assignment. We expect MMS2plot to play an important role in PTM discovery from large-scale proteomics datasets generated by LC (liquid chromatography)-MS/MS. The MMS2plot package is freely available at https://github.com/lileir/MMS2plot under the GPL-3 license.

bioinformatics↗

bioRxiv2020

Tumor Necrosis Factor Receptor Signaling Modulates Carcinogenesis in a Mouse Model of Breast Cancer

Proinflammatory conditions have long been associated with mammary carcinogenesis and breast cancer progression. The underlying mechanisms are incompletely understood but signaling of TNF through its receptors TNFR1 and TNFR2 is a major mediator of inflammation in both, obesity and in the response of tissues to radiation, two known risk factors for the development of breast cancer. Using the MMTV-Wnt1 mouse model for spontaneous breast cancer and knockout mice for TNFR1 and TNFR2 we report that loss of a TNFR2 allele leads to ductal hyperplasia in the mammary gland with increased numbers of mammary epithelial stem cell and terminal endbuds. Furthermore, that loss of one TNFR2 allele increases the incidence of breast cancers in MMTV-Wnt1 mice and results in tumors with a more aggressive phenotype and metastatic potential. The underlying mechanisms include a preferential activation of canonical NF-{kappa}B signaling pathways and autocrine production of TNF. Analysis of the TCGA dataset indicated inferior overall survival for patients with down-regulated TNFR2 expression. We conclude, that imbalances in TNFR signaling promote the development and progression of breast cancer, indicating that selective agonists of TNFR2 could potentially modulate the risk for breast cancer in high-risk populations. Significance StatementOver the past four decades the treatment results for patients suffering from breast cancer have constantly improved, leaving breast cancer prevention as an important frontier against the second leading cause of cancer death in the United States. Obesity has become a national health crisis and is a known proinflammatory risk factor for breast cancer. Our study describes a previously unknown aspect of proinflammatory signaling on breast cancer development and progression, thus suggesting novel potential targets to modulate the incidence of the disease.

cancer biology↗

bioRxiv2020

Novel and potent inhibitors targeting DHODH, a rate-limiting enzyme in de novo pyrimidine biosynthesis, are broad-spectrum antiviral against RNA viruses including newly emerged coronavirus SARS-CoV-2

Emerging and re-emerging RNA viruses occasionally cause epidemics and pandemics worldwide, such as the on-going outbreak of coronavirus SARS-CoV-2. Existing direct-acting antiviral (DAA) drugs cannot be applied immediately to new viruses because of virus-specificity, and the development of new DAA drugs from the beginning is not timely for outbreaks. Thus, host-targeting antiviral (HTA) drugs have many advantages to fight against a broad spectrum of viruses, by blocking the viral replication and overcoming the potential viral mutagenesis simultaneously. Herein, we identified two potent inhibitors of DHODH, S312 and S416, with favorable drug-like and pharmacokinetic profiles, which all showed broad-spectrum antiviral effects against various RNA viruses, including influenza A virus (H1N1, H3N2, H9N2), Zika virus, Ebola virus, and particularly against the recent novel coronavirus SARS-CoV-2. Our results are the first to validate that DHODH is an attractive host target through high antiviral efficacy in vivo and low virus replication in DHODH knocking-out cells. We also proposed the drug combination of DAA and HTA was a promising strategy for anti-virus treatment and proved that S312 showed more advantageous than Oseltamivir to treat advanced influenza diseases in severely infected animals. Notably, S416 is reported to be the most potent inhibitor with an EC50 of 17nM and SI value >5882 in SARS-CoV-2-infected cells so far. This work demonstrates that both our self-designed candidates and old drugs (Leflunomide/Teriflunomide) with dual actions of antiviral and immuno-repression may have clinical potentials not only to influenza but also to COVID-19 circulating worldwide, no matter such viruses mutate or not.

microbiology↗

bioRxiv2020

3D Genome Analysis Identifies Enhancer Hijacking Mechanism for High-Risk Factors in Human T-Lineage Acute Lymphoblastic Leukemia

Recent studies have demonstrated that 3D genome alterations play important roles in tumorigenesis1-3, including the development of hematological malignancies4-7. However, how such alterations may provide key insights into T-lineage acute lymphoblastic leukemia (T-ALL) patients is largely unknown. Here, we report integrated analyses of 3D genome alterations and differentially expressed genes (DEGs) in 18 newly diagnosed T-ALL patients and 4 healthy T cell controls. We found that 3D genome organization at the compartment, topologically associated domains (TAD) and loop levels as well as the gene expression profiles could hierarchically classify different subtypes of T-ALL according to the T cell differentiation trajectory. Alterations in the 3D genome were associated with nearly 45% of the upregulated genes in T-ALL. We also identified 34 previously unrecognized translocations in the noncoding regions of the genome and 44 new loops formed between translocated chromosomes, including translocation-mediated enhancer hijacking of the HOXA cluster. Our analysis demonstrated that T-ALLs with HOXA cluster overexpression were heterogeneous clinical entities, and ectopic expressions of the HOXA11-A13 genes, but not other genes in the HOXA cluster, were associated with immature phenotypes and poor outcomes. Our findings highlight the potentially important roles of 3D genome alterations in the etiology and prognosis of T-ALL.

genomics↗

bioRxiv2020

A Generalized Robust Allele-based Genetic Association Test

The allele-based association test, comparing allele frequency difference between case and control groups, is locally most powerful. However, application of the classical allelic test is limited in practice, because the method is sensitive to the Hardy-Weinberg equilibrium (HWE) assumption, not applicable to continuous traits, and not easy to account for covariate effect or sample correlation. To develop a generalized robust allelic test, we propose a new allele-based regression model with individual allele as the response variable. We show that the score test statistic derived from this robust and unifying regression framework contains a correction factor that explicitly adjusts for potential departure from HWE, and encompasses the classical allelic test as a special case. When the trait of interest is continuous, the corresponding allelic test evaluates a weighted difference between individual-level allele frequency estimate and sample estimate where the weight is proportional to an individuals trait value, and the test remains valid under Y - dependent sampling. Finally, the proposed allele-based method can analyze multiple (continuous or binary) phenotypes simultaneously and multi-allelic genetic markers, while accounting for covariate effect, sample correlation and population heterogeneity. To support our analytical findings, we provide empirical evidence from both simulation and application studies.

genetics↗

bioRxiv2020

Inhibition of KDM1A activity restores adult neurogenesis and improves hippocampal memory in a mouse model of Kabuki syndrome

Kabuki syndrome (KS) is a rare cause of intellectual disability primarily caused by loss of function mutations in lysine-specific methyltransferase 2D (KMT2D), which normally adds methyl marks to lysine 4 on histone 3. Previous studies have shown that a mouse model of KS (Kmt2d+/{beta}Geo) demonstrates disruption of adult neurogenesis and hippocampal memory. Proof-of-principle studies have shown postnatal rescue of neurological dysfunction following treatments that promote chromatin opening, however, these strategies are non-specific and do not directly address the primary defect of histone methylation. Since lysine-specific demethylase 1A (LSD1/KDM1A) normally removes the H3K4 methyl marks added by KMT2D, we hypothesize that inhibition of KDM1A demethylase activity may ameliorate molecular and phenotypic defects stemming from KMT2D loss. To test this hypothesis, we evaluated a recently developed KDM1A inhibitor (TAK-418) in Kmt2d+/{beta}Geo mice. We find that orally administered TAK-418 increases the numbers of newly born Doublecortin (DCX)+ cells and processes in hippocampus in a dose dependent manner. We also observe TAK-418-dependent rescue of histone modification defects in hippocampus both by Western blot and ChIP-Seq. Treatment rescues gene expression abnormalities including those of immediate early genes such as FBJ osteosarcoma oncogene (Fos) and FBJ osteosarcoma oncogene homolog B (Fosb). After 2 weeks of TAK-418, Kmt2d+/{beta}Geo mice demonstrate normalization of hippocampal memory defects. In summary, our data suggest that KDM1A inhibition is a plausible treatment strategy for KS and support the hypothesis that the epigenetic dysregulation secondary to KMT2D dysfunction plays a major role in the postnatal neurological disease phenotype in KS.

genetics↗

bioRxiv2020

SPIN reveals genome-wide landscape of nuclear compartmentalization

Chromosomes segregate differentially relative to distinct subnuclear structures, but this genome-wide compartmentalization, pivotal for modulating genome function, remains poorly understood. New genomic mapping methods can reveal chromosome positioning relative to specific nuclear structures. However, computational methods that integrate their results to identify overall intranuclear chromo-some positioning have not yet been developed. We report SPIN, a new method to identify genome-wide nuclear spatial localization patterns. As a proof-of-principle, we use SPIN to integrate nuclear compartment mapping (TSA-seq and DamID) and chromatin interaction data (Hi-C) from K562 cells to identify 10 spatial compartmentalization states genome-wide relative to nuclear speckles, lamina, and nucleoli. These SPIN states show novel patterns of genome spatial organization and their relation to genome function (transcription and replication timing). Comparisons of SPIN states with Hi-C sub-compartments and lamina-associated domains (LADs) from multiple cell types suggest constitutive compartmentalization patterns. By integrating different readouts of higher-order genome organization, SPIN provides critical insights into nuclear spatial and functional compartmentalization.

bioinformatics↗

bioRxiv2020

Transcriptome analysis of the Nematode Caenorhabditis elegans in acidic stress environments

Ocean acidification and acid rain, caused by modern industrial fossil fuels burning, lead to decrease of living environmental pH, which results in a series of negative effects on many organisms. However, the underlying mechanisms of animals’response to acidic pH stress are largely unknown. In this study, we used the nematode Caenorhabditis elegans as an animal model to explore the regulatory mechanisms of organisms’response to pH decline. Two major stress-responsive pathways were found through transcriptome analysis in acidic stress environments. Firstly, when the pH dropped from 6.33 to 4.33, the worms responded to the pH stress by up-regulation of the col, nas and dpy genes, which are required for cuticle synthesis and structure integrity. Secondly, when the pH continued to decrease from 4.33, the metabolism of xenobiotics by cytochrome P450 pathway genes (cyp, gst, ugt, and ABC transporters) played a major role in protecting the nematodes from the toxic substances probably produced by the more acidic environment. At the same time, cuticle synthesis slowed down might due to its insufficient protective ability. Moreover, the systematic regulation pattern we found in nematodes, might also be applied to other invertebrate and vertebrate animals to survive in the changing pH environments. Thus, our data might lay the foundation to identify the master gene(s) responding and adaptation to acidic pH stress in further studies, and might also provide new solutions to improve assessment and monitoring of ecological restoration outcomes, or generate novel genotypes via genome editing for restoring in challenging environments especially in the context of acidic stress through global climate change.View Full Text

zoology↗

bioRxiv2020

Substrate specificity profiling of SARS-CoV-2 Mpro protease provides basis for anti-COVID-19 drug design

In December 2019, the first cases of infection with a novel coronavirus, SARS-CoV-2, were diagnosed in Wuhan, China. Due to international travel and human-to-human transmission, the virus spread rapidly inside and outside of China. Currently, there is no effective antiviral treatment for coronavirus disease 2019 (COVID-19); therefore, research efforts are focused on the rapid development of vaccines and antiviral drugs. The SARS-CoV-2 main protease constitutes one of the most attractive antiviral drug targets. To address this emerging problem, we have synthesized a combinatorial library of fluorogenic substrates with glutamine in the P1 position. We used it to determine the substrate preferences of the SARS-CoV and SARS-CoV-2 main proteases, using natural and a large panel of unnatural amino acids. On the basis of these findings, we designed and synthesized an inhibitor and two activity-based probes, for one of which we determined the crystal structure of its complex with the SARS-CoV-2 Mpro. Using this approach we visualized SARS-CoV-2 active Mpro within nasopharyngeal epithelial cells of a patient with active COVID-19 infection. The results of our work provide a structural framework for the design of inhibitors as antiviral agents or diagnostic tests.

biochemistry↗

bioRxiv2020

Crystal structure of SARS-CoV-2 nucleocapsid protein RNA binding domain reveals potential unique drug targeting sites

The outbreak of coronavirus disease (COVID-19) in China caused by SARS-CoV-2 virus continually lead to worldwide human infections and deaths. It is currently no specific viral protein targeted therapeutics yet. Viral nucleocapsid protein is a potential antiviral drug target, serving multiple critical functions during the viral life cycle. However, the structural information of SARS-CoV-2 nucleocapsid protein is yet to be clear. Herein, we have determined the 2.7 [A] crystal structure of the N-terminal RNA binding domain of SARS-CoV-2 nucleocapsid protein. Although overall structure is similar with other reported coronavirus nucleocapsid protein N-terminal domain, the surface electrostatic potential characteristics between them are distinct. Further comparison with mild virus type HCoV-OC43 equivalent domain demonstrates a unique potential RNA binding pocket alongside the {beta}-sheet core. Complemented by in vitro binding studies, our data provide several atomic resolution features of SARS-CoV-2 nucleocapsid protein N-terminal domain, guiding the design of novel antiviral agents specific targeting to SARS-CoV-2.

molecular biology↗

bioRxiv2020

Establishment of a marine nematode model for animal functional genomics, environmental adaptation and developmental evolution

Nematodes play key roles in marine ecosystem. Although oceans cover 71% of the Earths surface, none of marine model nematode has been reported. Here, we constructed the first inbred line of free-living marine nematode Litoditis marina, sequenced and assembled its genome. Furthermore, we successfully applied CRISPR/Cas9 genome editing in L. marina. Comparative genomics revealed that immunity and oxygen regulation genes are expanded, which is probably central to its sediment adaptation. While L. marina exhibits massive gene contractions in NHRs, chemoreceptors, xenobiotics detoxification and core histones, which could explain the more defined marine environment. Our experiments showed that dozens of H4 genes in Caenorhabditis elegans might contribute to its adaptation to the complex terrestrial environments, while two H4 genes in L. marina are involved in salinity stress adaptation. Additionally, ninety-two conserved genes appear to be positively selected in L. marina, which may underpin its osmotic, neuronal and epigenetic changes in the sea. With short generation time, highly inbred lines, and genomic resources, our report brings L. marina a promising marine animal model, and a unique satellite marine model to the well-known biomedical model nematode C. elegans. This study will underpin ongoing work on animal functional genomics, environmental adaptation and developmental evolution.

genomics↗