Biology subjects

Liu, Q.

Publications and source records attributed to Liu, Q..

At least 469 records · Page 26Linked to original sources

bioRxiv2021

High-quality genome assembly of Cinnamomum burmami (chvar. Borneol) provides insights into the natural borneol biosynthesis

Cinnamomum burmannii (chvar. Borneol) is a well-known medicinal and industrial plant cultivated in the Lingnan region of China. It is the key source from organism of natural borneol (D-borneol), one of the precious and widely used Chinese herbal medicines with a variety of medicinal effects. Here, we report a high-quality chromosome-scale genome assembly of C. burmannii (chvar. Borneol) using Pacbio single-molecule sequencing and Hi-C technology. The assembled genome size was 1.14 GB with a scaffold N50 of 94.30 Mb, while 98.77% of the assembled sequences were anchored on 12 pseudochromosomes including 41549 protein-coding genes. Genomic evolution analysis revealed C. burmannii and C. micranthum shared two Lauraceae unique ancestral whole-genome duplication (WGD) events. Likewise, comparative genomic analysis showed strong collinearity between these two species. Besides, the analysis for Long Terminal Repeat Retrotransposons (LTR-RTs) indicated the outbreak of LTR-RTs insertion made a great contribution to the size difference of genomes between C. burmannii and C. micranthum. Furthermore, the candidate genes in pathway associated with natural borneol synthesis were identified on the genome and their differential expressions were analyzed in various biological tissues. We considered that several of genes in Mevalonate (MVA) Methylerythritol Phosphate (MEP) pathways or in downstream pathway have the potential to be the key factors in the biosynthesis of D-borneol. We also constructed the genome database (CAMD; http://www.cinnamomumdatabase.com/) of Cinnamomum species for a better data utilization in the future. All these results will enrich the genomic data of Lauraceae plants and facilitate genetic improvement of this commercially important plant.

genomics↗

bioRxiv2021

The secretome of M1 and M2 microglia differently regulate proliferation, differentiation and survival of adult neural stem/progenitor cell

Microglia has been reported to be able to regulate the proliferation, differentiation and survival of adult Neural stem/progenitor cells (NSPCs) by modulating the microenvironment, which results in different consequences of adult neurogenesis. However, whether the microglial activation is beneficial or harmful to NSPCs is still controversial because of the complexity and variability of microglial activation phenotypes. In this study, we detected the expression levels of M1 marker and M2 marker in IFN-{gamma}- and IL-4-induced microglia at different time, respectively. The phenotypic markers of M1 and M2 microglia were stable for 24 h after removal of IFN-{gamma} and IL-4 intervention, but exhibited different change patterns during the next 24 h. Then, the adult NSPCs were treated by the conditioned medium from IFN-{gamma}- and IL-4-activated microglia. The conditioned medium from IFN-{gamma}-activated microglia promoted apoptosis and astroglial differentiation of NSPCs, while suppressed proliferation and neuronal differentiation of NSPCs. However, the conditioned medium from IL-4-activated microglia exhibited opposite effects on these physiological processes. In addition, the direct treatment of IFN-{gamma} or IL-4 alone did not significantly affect the proliferation, differentiation and survival of NSPCs. These results suggest that the secretome of pro-inflammatory (M1) and anti-inflammatory (M2) microglia differently regulated the proliferation, differentiation and survival of adult NSPCs. These findings will help further study the biological mechanism of microglia regulating neurogenesis, and provide a therapeutic strategy for neurological diseases by regulating microglial phenotypes to affect neurogenesis.

neuroscience↗

bioRxiv2021

AlphaFold Protein Structure Database for Sequence-Independent Molecular Replacement

Crystallographic phasing recovers the phase information that is lost during a diffraction experiment. Molecular replacement is a dominant phasing method for the crystal structures in the protein data bank. In one form it uses a protein sequence to search a structure database for finding suitable templates for phasing. However, such sequence information is not always available such as when proteins are crystallized with unknown binding partner proteins or when the crystal is that of a contaminant. The recent development of AlphaFold has resulted in the availability of predicted protein structures for all proteins from twenty species. In this work, we tested whether AlphaFold-predicted E. coli protein structures were accurate enough for sequence-independent phasing of diffraction data from two crystallization contaminants for which we had not identified the protein. Using each of more than 4000 predicted structures as a search model, robust molecular replacement solutions were obtained which allowed the identification and structure determination of both structures, YncE and YadF. Our results advocate a general utility of AlphaFold-predicted structure database with respect to crystallographic phasing.

biochemistry↗

bioRxiv2021

C. elegans enteric motor neurons fire synchronized action potentials underlying the defecation motor program

The C. elegans nervous system was thought to be strictly analog, constituted solely by graded neurons. We recently discovered neuronal action potentials in the sensory neuron AWA; however, the extent to which the C. elegans nervous system relies on analog or digital neural signaling and coding is unclear. Here we report that the enteric motor neurons AVL and DVB fire all-or-none calcium-mediated action potentials that play essential roles in the rhythmic defecation behavior in C. elegans. Both AVL and DVB synchronously fire giant action potentials to faithfully execute all-or-none expulsion following the intestinal pacemaker. AVL fires unusual compound action potentials with each positive calcium-mediated spike followed by a potassium-mediated negative spike. The depolarizing calcium spikes in AVL are mediated by a CaV2 calcium channel UNC-2, while the negative potassium spikes are mediated by a repolarization-activated potassium channel EXP-2. Whole-body behavior tracking and simultaneous neural imaging in free-moving animals suggest that action potentials initiated in AVL in the head propagate along its axon to the tail and activate DVB through the INX-1 gap junction. Synchronized action potential spikes between AVL and DVB, as well as the negative spike and long-lasting afterhyperpolarization in AVL, play an important function in executing expulsion behavior. This work provides the first evidence that in addition to sensory coding, C. elegans motor neurons also use digital coding scheme to perform specific functions including long-distance communication and temporal synchronization, suggesting further, unforeseen electrophysiological diversity remains to be discovered in the C. elegans nervous system.

neuroscience↗

bioRxiv2021

Constitutive signal bias mediated by the human GHRHR splice variant 1

Alternative splicing of G protein-coupled receptors has been observed, but their functions are largely unknown. Here, we report that a splice variant (SV1) of the human growth hormone releasing hormone receptor (GHRHR) is capable of transducing biased signal. Differing only at the receptor N terminus, GHRHR predominantly activates Gs while SV1 selectively couples to {beta}-arrestins. Based on the cryo-electron microscopy structures of SV1 in the apo state or in complex with the Gs protein, molecular dynamics simulations reveal that the N termini of GHRHR and SV1 differentiate the downstream signaling pathways, Gs vs. {beta}-arrestins. Suggested by mutagenesis and functional studies, it appears that GHRH-elicited signal bias towards {beta}-arrestin recruitment is constitutively mediated by SV1. The level of SV1 expression in prostate cancer cells is also positively correlated with ERK1/2 phosphorylation but negatively correlated with cAMP response. Our findings imply that constitutive signal bias may be a mechanism that ensures cancer cell proliferation. Significance StatementThe mechanism of functional changes induced by alternative splicing of GHRHR is largely unknown. Here, we demonstrate that GHRH-elicited signal bias towards {beta}-arrestin recruitment is constitutively mediated by SV1. The cryo-electron microscopy structures of SV1 and molecular dynamics simulations reveal the different functionalities between GHRHR and SV1 at the near-atomic level, i.e., the N termini of GHRHR and SV1 differentiate the downstream signaling pathways, Gs vs. {beta}-arrestins. Our findings provide valuable insights into functional diversity of class B1 GPCRs which may aid in the design of better therapeutic agents against certain cancers.

molecular biology↗

bioRxiv2021

Structure-Function in Helical Cardiac Musculature Using Additive Textile Manufacturing

For more than fifty years, it has been hypothesized that the helical alignment of the heart gives rise to its mechanical function. Testing this hypothesis in an engineered environment is difficult, as the fine spatial features and complex three-dimensional (3D) structures of the cardiac musculature are challenging to reproduce using current biofabrication techniques. Addressing this, here we report a new form of additive textile manufacturing, Focused Rotary Jet Spinning (FRJS). FRJS allows for the rapid manufacturing of micro/nanofibers with controlled alignments. Using this method, we manufacture 3D models of the left ventricle, showing that helically aligned scaffolds display increased strain uniformity, axial shortening, cardiac output, and ejection fractions as compared to circumferential models. We then demonstrate how FRJS can enable the assembly of a full-sized model of the human hearts musculature. This work experimentally confirms that ventricular alignment plays a critical role in ensuring healthy cardiac performance.

bioengineering↗

bioRxiv2021

Predictive Modeling of Multiplex Chemical Phenomics for Novel Cells and Patients: Applied to Personalized Alzheimer's Disease Drug Repurposing

Chemical phenomics which measures multiplex chemical-induced phenotypic response of cells or patients, particularly dose-dependent transcriptomics and drug-response curves, provides new opportunities for in silico mechanism-driven phenotype-based drug discovery. However, state-of-the-art computational methods only focus on predicting a single phenotypic readout and are less successful in screening compounds for novel cells or individual patients. We designed a new deep learning model, MultiDCP, to enable high-throughput compound screening based on multiplex chemical phenomics for the first time, and further expand the scope of chemical phenomics to unexplored cells and patients. The novelties of MultiDCP lie in a multi-task learning framework with a novel knowledge-driven autoencoder to integrate incoherent labeled and unlabeled omics data, and a teacher-student training strategy to exploit unreliable data. MultiDCP significantly outperforms the state-of-the-art for novel cell lines. The predicted chemical transcriptomics demonstrate a stronger predictive power than noisy experimental data for downstream tasks. We applied MultiDCP to repurpose individualized drugs for Alzheimers disease, suggesting that MultiDCP is a potentially powerful tool for personalized medicine.

bioinformatics↗

bioRxiv2021

Broad neutralizing nanobody against SARS-CoV-2 engineered from pre-designed synthetic library

SARS-CoV-2 infection is initiated with Spike glycoprotein binding to the receptor of human angiotensin converting enzyme 2 via its receptor binding domain. Blocking this interaction is considered as an effective approach to inhibit virus infection. Here we report the discovery of a neutralizing nanobody, VHH60, directly produced from a humanized synthetic nanobody library. VHH60 competes with human ACE2 to bind the receptor binding domain of the Spike protein with a KD of 2.56 nM, inhibits infections of both live SARS-CoV-2 and pseudotyped viruses harboring wildtype, escape mutations and prevailing variants at nanomolar level. VHH60 also suppresses SARS-CoV-2 infection and propagation 50-fold better and protects mice from death two times longer than that of control group after live virus inoculation on mice. VHH60 therefore is a powerful synthetic nanobody with a promising profile for disease control against COVID19.

microbiology↗

bioRxiv2021

Structures of full-length glycoprotein hormone receptor signaling complexes

Luteinizing hormone (LH) and chorionic gonadotropin (CG) are members of the glycoprotein hormone family essential to human reproduction and are important therapeutic drugs. They activate the same G protein-coupled receptor, LHCGR, by binding to the large extracellular domain (ECD). Here we report four cryo-EM structures of LHCGR, two wildtype receptor structures in the inactive and active states, and two constitutively active mutated receptor structures. The active structures are bound to CG and Gs heterotrimer, with one of the structure also containing the allosteric agonist, Org43553. The structures reveal a distinct push and pull" mechanism of receptor activation, in which the ECD is pushed by the bound hormone and pulled by the extended hinge loop next to the transmembrane domain (TMD). A highly conserved 10-residue fragment (P10) from the hinge C-terminal loop at the ECD-TMD interface functions as a tethered agonist to induce conformational changes in TMD and G-protein coupling. Org43553 binds to a TMD pocket and interacts directly with P10 that further stabilizes the receptor in the active conformation. Together, these structures provide a common model for understanding glycoprotein hormone signal transduction and dysfunction, and inspire the search for clinically suitable small molecular compounds to treat endocrine diseases.

molecular biology↗

bioRxiv2021

microRNA-mediated regulation of microRNA machinery controls cell fate decisions

microRNAs associate with Argonaute proteins, forming the microRNA-induced silencing complex (miRISC), to repress target gene expression post-transcriptionally. Although microRNAs are critical regulators in mammalian cell differentiation, our understanding of how microRNA machinery, such as the miRISC, are regulated during development is still limited. We previously showed that repressing the production of one Argonaute protein, Ago2, by Trim71 is important for mouse embryonic stem cells (mESC) self-renewal (Liu et al., 2021). Here we show that among the four Argonaute proteins in mammals, Ago2 is the major developmentally regulated Argonaute protein in mESCs. Moreover, in pluripotency, besides the Trim71-mediated regulation of Ago2 (Liu et al., 2021), microRNA-182/microRNA-183 also repress Ago2. Specific inhibition of this microRNA-mediated repression results in stemness defects and accelerated differentiation through the let-7 microRNA pathway. These results reveal a microRNA-mediated regulatory circuit on microRNA machinery that is critical to maintaining pluripotency.

molecular biology↗

bioRxiv2021

Structural and functional characterization of ubiquitin variant inhibitors for the JAMM-family deubiquitinases STAMBP and STAMBPL1

Ubiquitination is one of the most crucial post-translational protein modifications involved in a myriad of biological pathways. This process is reversed by deubiquitinases (DUBs) that deconjugate the ubiquitin (Ub) moiety or poly-Ub chains from substrates. In the past decade, tremendous efforts have been focused on targeting DUBs for drug discovery. However, most chemical compounds with inhibitory activity for DUBs suffer from mild potency and low selectivity. To overcome these obstacles, we developed a phage display-based protein engineering strategy for generating Ub variant (UbV) inhibitors and have previously successfully applied it to the Ub-specific protease (USP) family of cysteine proteases. In this work, we leveraged the UbV platform to target STAMBP, a member of the JAB1/MPN/MOV34 (JAMM) metalloprotease family of DUB enzymes. We identified two UbVs (UbVSP.1 and UbVSP.3) that bind to STAMBP with high affinity but differ in their selectivity for the closely related paralog STAMBPL1. We determined the STAMBPL1-UbVSP.1 complex structure by X-ray crystallography, revealing hotspots of the tight JAMM-UbV interaction. Finally, we show that UbVSP.1 and UbVSP.3 are potent inhibitors of the STAMBP isopeptidase activity, far exceeding the reported small-molecule inhibitor BC-1471. This work demonstrates that UbV technology is suitable to develop tool molecules for metalloproteases. These tools can be used to understand the cellular function of JAMM family DUBs.

biochemistry↗

bioRxiv2021

Quantifying and correcting slide-to-slide variation in multiplexed immunofluorescence images

MotivationThe multiplexed imaging domain is a nascent single-cell analysis field with a complex data structure susceptible to technical variability that disrupts inference. These in situ methods are valuable in understanding cell-cell interactions, but few standardized processing steps or normalization techniques of multiplexed imaging data are available. ResultsWe implement and compare data transformations and normalization algorithms in multiplexed imaging data. Our methods adapt the ComBat and functional data registration methods to remove slide effects in this domain, and we present an evaluation framework to compare the proposed approaches. We present clear slide-to-slide variation in the raw, unadjusted data, and show that many of the proposed normalization methods reduce this variation while preserving and improving the biological signal. Further, we find that dividing this data by its slide mean, and the functional data registration methods, perform the best under our proposed evaluation framework. In summary, this approach provides a foundation for better data quality and evaluation criteria in the multiplexed domain. Availability and ImplementationSource code is provided at https://github.com/statimagcoll/MultiplexedNormalization. Contactcoleman.r.harris@vanderbilt.edu Supplementary informationSupplementary information is available online.

bioinformatics↗

bioRxiv2021

A dinucleotide tag-based parallel reporter gene assay method

The causal SNPs leading to increased cancer predisposition mainly function as gene regulatory elements, the evaluation of which largely rely on the parallel reporter gene assay system. However, the common DNA barcode-based parallel reporter gene assay systems are troubled with tag bias, mainly due to the tag nucleotide composition. Here we describe a versatile dinucleotide-tag reporter system (DiR) that enables parallel analysis of regulatory elements with minimized bias based on the next-generation sequencing. The DiR system is also more robust than the classical luciferase assay method, especially in the investigation of moderate-level regulatory elements. We applied DiR-seq assay in the functional evaluation of the prostate cancer risk SNPs in prostate cancer cell lines and disclosed 2, and 6 regulatory SNPs in PC-3 and LNCaP cells. The DiR system has great potential to advance the functional study of risk SNPs that have associations with polygenic diseases.

molecular biology↗

bioRxiv2021

The P-selectin ligand PSGL-1 (CD162) is efficiently incorporated by primary HIV-1 isolates and can facilitate trans-infection

While P-selectin glycoprotein ligand-1 (PSGL-1/CD162) has been studied extensively for its role in mediating leukocyte rolling through interactions with its receptor, P-selectin, recently, it was identified as a novel HIV-1 host restriction factor. One key mechanism of HIV-1 restriction is the ability of PSGL-1 to be physically incorporated into the external viral envelope, which effectively reduces infectivity by blocking virus attachment through the steric hindrance caused by its large ectodomain. Importantly, a large portion of the literature demonstrating the antiviral activity of PSGL-1 has utilized viruses produced in transfected cells which express high levels of PSGL-1. However, herein we show that virion-incorporated PSGL-1 is far less abundant on the surface of viruses produced via infection of physiologically relevant models (T cell lines and primary cells) compared to transfection (overexpression) models. Unique to this study, we show that PSGL-1 is incorporated in a broad range of HIV-1 and SIV isolates, supporting the physiological relevance of this incorporation. We also report that high levels of virion-incorporated PSGL-1 are detectable in plasma from viremic HIV-1 infected individuals, further corroborating the clinical relevance of PSGL-1 in natural infection. Additionally, we show that PSGL-1 on viruses is functionally active and can bind its cognate receptor, P-selectin, and that virions captured via P-selectin can subsequently be transferred to HIV-permissive bystander cells in a model of trans-infection. Taken together, our data suggest that PSGL-1 may have diverse roles in the physiology of HIV-1 infection, not restricted to the current antiviral paradigm. IMPORTANCEPSGL-1 is an HIV-1 host restriction factor which reduces viral infectivity by physically incorporating into the envelope of virions. While the antiviral effects of PSGL-1 in viruses produced by transfection models is profound, HIV-1 continues to remain infectious when produced through natural infection, even when PSGL-1 is incorporated. To study this discordance, we compared the differences in infectivity and PSGL-1 abundance in viruses produced by transfection or infection. Viruses produced via transfection contained unnaturally high levels of incorporated PSGL-1 compared to viruses from primary cells, and were much less infectious. We also found PSGL-1 to be present on a broad range of HIV-1 isolates, including those found in plasma from HIV-infected patients. Remarkably, we show that virion-incorporated PSGL-1 facilitates virus capture and transfer to HIV-permissive host cells via binding to P-selectin. These findings suggest that PSGL-1 may also work to enhance infection in vivo.

microbiology↗

bioRxiv2021

A multi-tiered map of EMT defines major transition points and identifies vulnerabilities

Epithelial to mesenchymal transition (EMT) is a complex cellular program proceeding through a hybrid E/M state linked to cancer-associated stemness, migration and chemoresistance. Deeper molecular understanding of this dynamic physiological landscape is needed to define events which regulate the transition and entry into and exit from the E/M state. Here, we quantified >60,000 molecules across ten time points and twelve omic layers in human mammary epithelial cells undergoing TGF{beta}-induced EMT. Deep proteomic profiles of whole cells, nuclei, extracellular vesicles, secretome, membrane and phosphoproteome defined state-specific signatures and major transition points. Parallel metabolomics showed metabolic reprogramming preceded changes in other layers, while single-cell RNA sequencing identified transcription factors controlling entry into E/M. Covariance analysis exposed unexpected discordance between the molecular layers. Integrative causal modeling revealed co-dependencies governing entry into E/M that were verified experimentally using combinatorial inhibition. Overall, this dataset provides an unprecedented resource on TGF{beta} signaling, EMT and cancer.

systems biology↗

bioRxiv2021

Molecular insights into ago-allosteric modulation of the human glucagon-like peptide-1 receptor

The glucagon-like peptide-1 (GLP-1) receptor is a validated drug target for metabolic disorders. Ago-allosteric modulators are capable of acting both as agonists on their own and as efficacy enhancers of orthosteric ligands. However, the molecular details of ago-allosterism remain elusive. Here, we report three cryo-electron microscopy structures of GLP-1R bound to (i) compound 2 (an ago-allosteric modulator); (ii) compound 2 and GLP-1; and (iii) compound 2 and LY3502970 (a small molecule agonist), all in complex with heterotrimeric Gs. The structures reveal that compound 2 is covalently bonded to C347 at the cytoplasmic end of TM6 and triggers its outward movement in cooperation with the ECD whose N terminus penetrates into the GLP-1 binding site. This allows compound 2 to execute positive allosteric modulation through enhancement of both agonist binding and G protein coupling. Our findings offer the structural basis of ago-allosterism at GLP-1R and new knowledge to design better therapeutics.

molecular biology↗

bioRxiv2021

Golden pompano genome resource enables discovery of valuable gene determining growth traits

One important goal of fish genetic breeding is to identify valuable loci and genes that can facilitate growth and thereby productivity. Few such loci or genes have been identified in golden pompano (Trachinotus ovatus), a species of significant economic value. In this study, we produced a high-quality chromosome-level genome assembly of the golden pompano by de novo sequencing and assemblies for 2 parents and 200 F1 offspring by genome re-sequencing. We exploited these assemblies to identify loci and genes by QTL mapping, Kompetitive Allele Specific PCR (KASP) genotyping, and haplotype-based regional association analysis based on growth records of a 64 biparental and 147 individuals from a naturally occurring population. At a locus 291kb from BSNP21031, we identified a somatostatin receptor type 1-like (designated as gpsstr1) gene in which the BSNP1369 of the promoter region was highly associated with growth. Loss of sstr1a, the homolog of gpsstr1 in zebrafish, caused growth retardation. Sstr1a mediated growth via sstr2 and Wnt-gsk-3{beta} signaling pathways. Our findings provide new insights into the underlying mechanisms controlling growth. Our strategy can serve as an effective way to uncover novel genomic information and facilitate improvement of fish growth.

genomics↗

bioRxiv2021

Robust Prediction of Patient-Specific Clinical Response to Unseen Drugs From in vitro Screens Using Context-aware Deconfounding Autoencoder

Accurate and robust prediction of patient-specific responses to drug treatments is critical for drug development and personalized medicine. However, patient data are often too scarce to train a generalized machine learning model. Although many methods have been developed to utilize cell line data, few of them can reliably predict individual patient clinical responses to new drugs due to data distribution shift and confounding factors. We develop a novel Context-aware Deconfounding Autoencoder (CODE-AE) that can extract common biological signals masked by context-specific patterns and confounding factors. Extensive studies demonstrate that CODE-AE effectively alleviates the out-of-distribution problem for the model generalization, significantly improves accuracy and robustness over state-of-the-art methods in both predicting patient-specific ex vivo and in vivo drug responses purely from in vitro screens and disentangling intrinsic biological signals from confounding factors. Using CODE-AE, we screened 50 drugs for 9,808 cancer patients and discovered novel personalized anti-cancer therapies and drug-response biomarkers. Contact: lxie@iscb.org

bioinformatics↗