Biology subjects

Qian, H.

Publications and source records attributed to Qian, H..

48 records · Page 3Linked to original sources

bioRxiv2021

Chicoric acid prevents neurodegeneration via microbiota-gut-brain axis in a mouse Parkinson's disease model

It is determined that microbiota-gut-brain axis is involved in the pathogenesis of Parkinsons Disease (PD) and may be the potential target for developing the therapeutic treatments for PD. Chicoric acid (CA) is a kind of natural polyphenolic acid compounds which are recognized as promising agents against neurodegenerative disease. Here, we investigated the influence of CA on microbiota-gut-brain axis in 1-methyl-4-phenyl-1, 2, 3, 6-tetrahydropyridine (MPTP) mice. The results demonstrated that oral pretreatments of CA significantly prevented the MPTP-indued motor disorders, death of nigrostriatal dopaminergic neurons and reduction in striatal neurotrophins. Sequencing results of 16S rRNA indicated the microbial dysbiosis occurred in MPTP mice, whereas CA exerted a remarkable impact on microbial diversity and microbiota compositions, as well as SCFAs production. Besides, CA pretreatment alleviated gliosis-mediated neuroinflammation and gut inflammation by suppressing TLR4/MyD88/NF-{kappa}B signaling cascade, along with preventing the colonic hyperpermeability. To conclude, CA prevented MPTP-induced neuroinflammation and neuronal degenerative processes through signaling multiple pathways of microbiota-gut-brain axis.

neuroscience↗

bioRxiv2021

Hydroxide ions amplified by water entanglement underly the mechanism of general anesthesia

It is believed that inhaled anesthetics occupy hydrophobic pockets within target proteins, but how inhaled anesthetics with diverse shapes and sizes fit into highly structurally selective pockets is unknown. For hydroxide ions are hydrophobic, we determined whether hydroxide ions could bridge inhaled anesthetics and protein pockets. We found that small additional load of cerebral hydroxide ions decreases anesthetic potency. Multiple-water entanglement network, derived from Ising model, has a great ability to amplify ultralow changes in the cerebral hydroxide ion concentration, and consequently, amplified hydroxide ions account for neural excitability. Molecular dynamics simulations showed that inhaled anesthetics produce anesthesia by attenuating the formation of multiple-water entanglement network. This work suggests amplified hydroxide ions underlying a unified mechanism for the anesthetic action of inhaled anesthetics.

animal behavior and cognition↗

bioRxiv2021

Pre-stimulus alpha activities predict the confidence in subjective judgment by modulating post-stimulus theta oscillation

Even when making arbitrary decisions, people tend to feel varying levels of confidence, which is associated with the pre-stimulus neural oscillation of the brain. We investigated varying confidence in a pure subjective judgment task, and how this confidence was predicted by pre-stimulus alpha oscillations. Participants made pure subjective judgments where their prior experience seems to be helpful but actually useless, and their fluctuating confidence was related to the choice boundary process rather than the evidence accumulation process, suggesting participants underwent varying confidence resulting from the internal signals. With EEG and MEG analyses, we not only revealed the linkage between confidence and pre-stimulus alpha activities, but also successfully located this linkage onto decision-making relevant brain areas, i.e. MCC/PCC and SMA. Moreover, we unveiled a specific pathway underlying such linkage, that is, the influence of pre-stimulus alpha activities on decision confidence was fulfilled through modulating post-stimulus theta activities of SMA.

neuroscience↗

bioRxiv2020

Integrated glycoproteomics identifies a role of N-glycosylation and galectin-1 on myogenesis and muscle development

ABSTRACTMany cell surface and secreted proteins are modified by the covalent addition of glycans that play an important role in the development of multicellular organisms. These glycan modifications enable communication between cells and the extracellular matrix via interactions with specific glycan-binding lectins and the regulation of receptor-mediated signaling. Aberrant protein glycosylation has been associated with the development of several muscular diseases suggesting essential glycan- and lectin-mediated functions in myogenesis and muscle development but our molecular understanding of the precise glycans, catalytic enzymes and lectins involved remain only partially understood. Here, we quantified dynamic remodeling of the membrane-associated proteome during a time-course of myogenesis in cell culture. We observed wide-spread changes in the abundance of several important lectins and enzymes facilitating glycan biosynthesis. Glycomics-based quantification of released N-linked glycans confirmed remodeling of the glycome consistent with the regulation of glycosyltransferases and glycosidases responsible for their formation including a previously unknown di-galactose-to-sialic acid switch supporting a functional role of these glycoepitopes in myogenesis. Furthermore, dynamic quantitative glycoproteomic analysis with multiplexed stable isotope labelling and analysis of enriched glycopeptides with multiple fragmentation approaches identified glycoproteins modified by these regulated glycans including several integrins and growth factor receptors. Myogenesis was also associated with the regulation of several lectins most notably the up-regulation of galectin-1 (LGALS1). CRISPR/Cas9-mediated deletion of Lgals1 inhibited differentiation and myotube formation suggesting an early functional role of galectin-1 in the myogenic program. Importantly, similar changes in N-glycosylation and the up-regulation of galectin-1 during postnatal skeletal muscle development were observed in mice. Treatment of new-born mice with recombinant adeno-associated viruses to overexpress galectin-1 in the musculature resulted in enhanced muscle mass. Our data form a valuable resource to further understand the glycobiology of myogenesis and will aid the development of intervention strategies to promote healthy muscle development or regeneration.Competing Interest StatementThe authors have declared no competing interest.AbbreviationsAAV adeno-associated virusANOVAanalysis of variationCBDscarbohydrate binding domainsCDGscongenital disorders of glycosylationCRISPRclustered regularly interspaced short palindromic repeatsCIDcollisional induced dissociationDTTdithiothreitolECMextracellular matrixEThcDelectron transfer dissociation with higher collisional dissociation supplemental activationFBSfetal bovine serumFDRfalse discovery rateFAformic acidGBPsglycan-binding proteinsHCDhigher collisional dissociationHILIChydrophilic interaction liquid chromatographyMCSmultiple cloning siteMeCNacetonitrileNMJneuromuscular junctionsPCAprincipal component analysisPGCporous graphitized carbonPSMpeptide spectral matchTEABtriethylammonium bicarbonateTFAtrifluoroacetic acidTMTtandem mass tagsView Full Text

biochemistry↗

bioRxiv2020

Structure and mechanism of human diacylglycerol acyltransferase 1

Human diacylglycerol O-acyltransferase-1 (hDGAT1) synthesizes triacylglycerides and is required for dietary fat absorption and fat storage. The lack of 3-dimensional structure has limited our understanding of substrate recognition and mechanism of catalysis, and hampers rational targeting of hDGAT1 for therapeutic purposes. Here we present the structure of hDGAT1 in complex with a substrate oleoyl Coenzyme A at 3.1 [A] resolution. hDGAT1 forms a homodimer and each protomer has nine transmembrane helices that carve out a hollow chamber in the lipid bilayer. The chamber encloses highly conserved catalytic residues and has separate entrances for the two substrates fatty acyl Coenzyme A and diacylglycerol. The N-terminus of hDGAT1 makes extensive interactions with the neighboring protomer, and is required for enzymatic activity.

biochemistry↗

bioRxiv2020

Structural basis for catalysis and substrate specificity of human ACAT1

Acyl-coenzyme A: cholesterol acyltransferases (ACATs) catalyze acyl transfer from acyl-coenzyme A (CoA) to cholesterol to generate cholesteryl ester, which is the primary form for cellular storage and plasma transport of cholesterol. Because of their close relationship with cholesterol metabolism, ACATs represent potential drug target for the treatment of atherosclerosis and other cholesterol-related disorders. Here we present the cryo-EM structure of human ACAT1 at 3.3 [A] resolution for dimer of dimers and 3.0 [A] for a dimer. Each protomer consists of nine transmembrane segments that enclose a cytosolic (C) and a transmembrane (T) tunnel. The tunnels, each accommodating an elongated density, converge at the predicted catalytic site. Structure-guided mutational analyses suggest the cytosolic and lateral entry for acyl-CoA and cholesterol, respectively. Our structural, biochemical, and mass spectrometric characterizations reveal the catalytic mechanism and substrate preference for unsaturated acyl chain by ACAT1.

biochemistry↗

bioRxiv2019

Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations

Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are still limited. In addition to the limited inclusion of these populations in genetic studies, these populations have more complex linkage disequilibrium structure that may reduce the number of variants associated with a phenotype. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with commercial genome-wide genotyping array data. We demonstrate that using TOPMed sequencing data as the imputation reference panel improves genotype imputation quality in these populations, which subsequently enhances gene-mapping power for complex traits. For rare variants with minor allele frequency (MAF) < 0.5%, we observed a 2.3 to 6.1-fold increase in the number of well-imputed variants, with 11-34% improvement in average imputation quality, compared to the state-of-the-art 1000 Genomes Project Phase 3 and Haplotype Reference Consortium reference panels, respectively. Impressively, even for extremely rare variants with sample minor allele count <10 (including singletons) in the imputation target samples, average information content rescued was >86%. Subsequent association analyses of TOPMed reference panel-imputed genotype data with hematological traits (hemoglobin (HGB), hematocrit (HCT), and white blood cell count (WBC)) in ~20,000 self-identified African descent individuals and ~23,000 self-identified Hispanic/Latino individuals identified associations with two rare variants in the HBB gene (rs33930165 with higher WBC (p=8.1x10-12) in African populations, rs11549407 with lower HGB (p=1.59x10-12) and HCT (p=1.13x10-9) in Hispanics/Latinos). By comparison, neither variant would have been genome-wide significant if either 1000 Genomes Project Phase 3 or Haplotype Reference Consortium reference panels had been used for imputation. Our findings highlight the utility of TOPMed imputation reference panel for identification of novel associations between rare variants and complex traits not previously detected in similar sized genome-wide studies of under-represented African and Hispanic/Latino populations.\n\nAuthor summaryAdmixed African and Hispanic/Latino populations remain understudied in genome-wide association and fine-mapping studies of complex diseases. These populations have more complex linkage disequilibrium (LD) structure that can impair mapping of variants associated with complex diseases and their risk factors. Genotype imputation represents an approach to improve genome coverage, especially for rare or ancestry-specific variation; however, these understudied populations also have smaller relevant imputation reference panels that need to be expanded to represent their more complex LD patterns. In this study, we leveraged >100,000 phased sequences generated from the multi-ethnic NHLBI TOPMed project to impute in admixed cohorts encompassing ~20,000 individuals of African ancestry (AAs) and ~23,000 Hispanics/Latinos. We demonstrated substantially higher imputation quality for low frequency and rare variants in comparison to the state-of-the-art reference panels (1000 Genomes Project and Haplotype Reference Consortium). Association analyses of ~35 million (AAs) and ~27 million (Hispanics/Latinos) variants passing stringent post-imputation filtering with quantitative hematological traits led to the discovery of associations with two rare variants in the HBB gene; one of these variants was replicated in an independent sample, and the other is known to cause anemia in the homozygous state. By comparison, the same HBB variants would not have been genome-wide significant using other state-of-the-art reference panels due to lower imputation quality. Our findings demonstrate the power of the TOPMed whole genome sequencing data for imputation and subsequent association analysis in admixed African and Hispanic/Latino populations.

genomics↗

bioRxiv2019

SMNN: Batch Effect Correction for Single-cell RNA-seq data via Supervised Mutual Nearest Neighbor Detection

Batch effect correction has been recognized to be indispensable when integrating single-cell RNA sequencing (scRNA-seq) data from multiple batches. State-of-the-art methods ignore single-cell cluster label information, but such information can improve effectiveness of batch effect correction, particularly under realistic scenarios where biological differences are not orthogonal to batch effects. To address this issue, we propose SMNN for batch effect correction of scRNA-seq data via supervised mutual nearest neighbor detection. Our extensive evaluations in simulated and real datasets show that SMNN provides improved merging within the corresponding cell types across batches, leading to reduced differentiation across batches over MNN, Seurat v3, and LIGER. Furthermore, SMNN retains more cell type-specific features, partially manifested by differentially expressed genes identified between cell types after SMNN correction being biologically more relevant, with precision improving by up to 841%. Key PointsO_LIBatch effect correction has been recognized to be critical when integrating scRNA-seq data from multiple batches due to systematic differences in time points, generating laboratory and/or handling technician(s), experimental protocol, and/or sequencing platform. C_LIO_LIExisting batch effect correction methods that leverages information from mutual nearest neighbors across batches (for example, implemented in SC3 or Seurat) ignore cell type information and suffer from potentially mismatching single cells from different cell types across batches, which would lead to undesired correction results, especially under the scenario where variation from batch effects is non-negligible compared with biological effects. C_LIO_LITo address this critical issue, here we present SMNN, a supervised machine learning method that first takes cluster/cell-type label information from users or inferred from scRNA-seq clustering, and then searches mutual nearest neighbors within each cell type instead of global searching. C_LIO_LIOur SMNN method shows clear advantages over three state-of-the-art batch effect correction methods and can better mix cells of the same cell type across batches and more effectively recover cell-type specific features, in both simulations and real datasets. C_LI

bioinformatics↗

bioRxiv2018

Mesenchymal stem cell derived exosomes enhance lymphangiogenesis via exosomal transfer of Ang-2/Tie2

Mesenchymal stem cell derived exosomes (MSC-Ex) are nanosized membrane-bound extracellular vesicles found in MSC conditioned medium, that have yielded beneficial effects in several experimental models of organ injury. However, the therapeutic value and mechanism of MSC-Ex in lymphedema is poorly understood. Here we find that human umbilical cord MSCs derived exosomes (hucMSC-Ex) treatment contributed to the regeneration of LYVE-1 positive lymphatic vessels and reduction of lymphedema in a mouse model of tail lymphedema. Following uptake, exosomal lymphangiogenic factors (angiopoietin (Ang)-2 and Tie2) are taken up by HDLECs and promoted HDLECs proliferation, migration, and tube formation in vitro. We also find that exosomal Ang-2 and Tie2 exert a prolymphangiogenic effect on HDLECs through upregulating Prox1 and VEGFR3/p-Akt expression. In conclusion, our result unravel a previously unappreciated prolymphangiogenic role of hucMSC-Ex in lymphedema therapy and provide a new mechanism of Ang-2 in therapeutic lymphangiogenesis.

bioengineering↗

bioRxiv2018

Inhibition of tetrameric Patched1 by Sonic Hedgehog through an asymmetric paradigm

The Hedgehog (Hh) pathway controls embryonic development and postnatal tissue maintenance and regeneration. Inhibition of oligomeric Hh receptor Patched (Ptch) by the secreted and post-translationally modified ligand Hh relieves suppression of the signaling cascades. Here, we report the cryo-EM structure of tetrameric Ptch1 in complex with palmitoylated N-terminal signaling domain of human Sonic hedgehog (ShhNp). The structure shows that four Ptch1 protomers are organized as a loose dimer of dimers and each dimer binds to one ShhNp through two distinct inhibitory interfaces. Ptch1-A binds to ShhNp through the well-characterized Ca2+-mediated interface on the globular domain of ShhNp, and Ptch1-B primarily interacts with the N-terminal peptide and the palmitoyl moiety. Map comparison reveals that the cholesteryl moiety of native ShhN occupies a recently identified extracellular steroid binding pocket in Ptch1-B. Our structure elucidates the tetrameric assembly of Ptch1 and suggests asymmetric mode of actions of the Hh ligands for inhibiting the potential cholesterol transport activity of Ptch1.

biophysics↗

bioRxiv2018

Structure for Energy Cycle: A unique status of Second Law of Thermodynamics for living systems

Distinguishing things from beings, or matters from lives, is a fundamental question. Extending E. Schrodingers neg-entropy and I. Prigogines dissipative structure, we propose a chemical kinetic view that the earliest \"live\" process is essentially a special interaction between a pair of specific components under a corresponding, particular environmental conditions. The interaction exists as an inter-molecular-force-bond complex (IMFBC) that couples two separate chemical processes: One is the spontaneous formation of an IMFBC driven by the decrease of Gibbs free energy as a dissipative process; while the other is the disassembly of the IMFBC driven thermodynamically by free energy input from the environment. The two processes that are coupled by the IMFBC were originated independently and considered non-living on Earth, but the IMFBC coupling of the two can be considered as the earliest form of metabolism: This forms the first landmark on the path from things to a being. The dynamic formation and dissemblance of the IMFBCs, as composite individuals, follows a principle designated as \"... structure for energy for structure for energy...\", the cycle continues, shortly \"structure for energy cycle\". With additional features derived from an IMFBC, such as multiple intermediates, autocatalytic ability of one individual upon the formation of another, aqueous medium, and mutual beneficial relationship between formation of polypeptides and nucleic acids, etc., the IMFBC-centered \"live\" process spontaneously evolved into more complex living organisms with the characteristics one currently knows.

evolutionary biology↗

bioRxiv2016

Phosphorylation energy and nonlinear kinetics as key determinants for G2/M transition in fission yeast cell cycle

The living cell is an open nonequilibrium biochemical system, where ATP hydrolysis serves as the energy source for a wide range of intracellular processes including the assurance for decision-making. In the fission yeast cell cycle, the transition from G2 phase to M phase is triggered by the activation of Cdc13/Cdc2 and Cdc25, and the deactivation of Wee1. Each of these three events involves a phosphorylation-dephosphorylation (PdP) cycle, and together they form a regulatory circuit with feedback loops. Almost all quantitative models for cellular networks in the past have invalid thermodynamics due to the assumption of irreversible enzyme kinetics. We constructed a thermodynamically realistic kinetic model of the G2/M circuit, and show that the phosphorylation energy ({Delta}G), which is determined by the cellular ATP/ADP ratio, critically controls the dynamics and the bistable nature of Cdc2 activation. Using fission yeast nucleoplasmic extract (YNPE), we are able to experimentally verify our model prediction that increased {Delta}G, being synergistic to the accumulation of Cdc13, drives the activation of Cdc2. Furthermore, Cdc2 activation exhibits bistability and hysteresis in response to changes in phosphorylation energy. These findings suggest that adequate maintenance of phosphorylation energy ensures the bistability and robustness of the activation of Cdc2 in the G2/M transition. Free energy might play a widespread role in biological decision-making processes, connecting thermodynamics with information processing in biology.

systems biology↗