Biology subjects

Li, Q.

Publications and source records attributed to Li, Q..

At least 613 records · Page 34Linked to original sources

bioRxiv2021

Rv3737 is required for Mycobacterium tuberculosis growth in vitro and in vivo and correlates with bacterial load and disease severity in human tuberculosis

Rv3737 is the sole homologue of multifunctional transporter ThrE in Mycobacterium tuberculosis (Mtb). In this study, we aimed to investigate whether this transporter participates in vitro and in vivo survival of Mtb. To characterize the role of Rv3737, we constructed and characterized an Mtb H37Rv{Delta}Rv3737. This strain was evaluated for altered growth rate and macrophage survival using cell model of infection. In addition, the comparative analysis was conducted to determine the association between Rv3737 mRNA expression and disease severity in active pulmonary TB patients. The H37Rv{Delta}Rv3737 strain exhibited significant slow growth rate compared to H37Rv-WT strain in standard culture medium. Additionally, the survival rate of H37Rv-WT strain in macrophages was 2 folds higher than that of H37Rv{Delta}Rv3737 at 72 h. A significant higher level of TNF- and IL-6 mRNA expression was observed in macrophages infected with H37Rv{Delta}Rv3737 as compared to H37Rv-WT. Of note, Rv3737 expression was significantly increased in clinical Mtb isolates than H37Rv-WT. The relative expression level of Rv3737 was positively correlated with lung cavity number in TB patients. Similarly, the higher Rv3737 mRNA level resulted in lower C(t) value by Xpert MTB/RIF assay, demonstrating that a positive correlation between Rv3737 expression and bacterial load in TB patients. In conclusion, our data is the first to demonstrate that the transporter Rv3737 is required for in vitro growth and survival of bacteria inside macrophages. In addition, the expression level of Rv3737 is associated with bacterial load and disease severity in pulmonary tuberculosis patients.

microbiology↗

bioRxiv2020

Cryo-EM structure of amyloid fibrils formed by the entire low complexity domain of TDP-43

Amyotrophic lateral sclerosis and several other neurodegenerative diseases are associated with brain deposits of TDP-43 aggregates. Cryo-EM structure of amyloid formed from the entire TDP-43 low complexity domain reveals single protofilament fibrils containing a large (138-residue), tightly packed core with structural features that differ from those previously found for fibrils formed from short protein fragments. The atomic model provides insight into potential structural perturbations caused by phosphorylation and disease-related mutations.

biophysics↗

bioRxiv2020

Primary restriction of S-RNase cytotoxicity by a stepwise ubiquitination and degradation pathway in Petunia hybrida

In self-incompatible Solanaceous species, the pistil S-RNase acts as cytotoxin to inhibit self-pollination but is polyubiquitinated by the pollen-specific non-self S-locus F-box (SLF) proteins and subsequently degraded by the ubiquitin-proteasome system (UPS), allowing cross-pollination. However, it remains unclear how S-RNase is restricted by the UPS. Here, we first show that Petunia hybrida (Ph) S3-RNase is largely ubiquitinated by K48-linked polyubiquitin chains at three regions, R I, II and III. R I is ubiquitinated in unpollinated, self- and cross-pollinated pistils, indicating its occurrence prior to PhS3-RNase uptake into pollen tubes, whereas R II and III are exclusively ubiquitinated in cross-pollinated pistils. Second, removal of R II ubiquitination resulted in significantly reduced seed sets from cross-pollination and that of R I and III in less extents, indicating their increased cytotoxicity. In consistent, the mutated R II of PhS3-RNase resulted in marked reduction of its degradation, whereas that of R I and III in less reductions. Taken together, our results demonstrate that PhS3-RNase R II functions as a major ubiquitination region for its destruction and R I and III as minor ones, revealing that its cytotoxicity is primarily restricted by a stepwise UPS mechanism for cross-pollination in P. hybrida. ONE SENTENCE SUMMARYBiochemical and transgenic analyses reveal that Petunia hybrida S3-RNase cytotoxicity is largely restricted by a stepwise ubiquitination and degradation pathway during cross-pollination.

plant biology↗

bioRxiv2020

Regional radiomics similarity networks (R2SNs) in the human brain: reproducibility, small-world properties and a biological basis

BackgroundStructural covariance network (SCN) has been applied successfully to structural magnetic resonance imaging (MRI) study. However, most SCNs were constructed by the unitary marker, which was insensitive for the different disease phases. The aim of this study is to devise a novel regional radiomics similarity network (R2SN) that could provide more comprehensive information in morphological network analysis. MethodsRegional radiomics similarity network (R2SN) was constructed by computing the Pearson correlations between the radiomics features extracted from any pair of regions for each subject. We further assessed the small-world property of R2SN using the graph theory method, as well as the reproducibility in the different datasets and the reliability with test-retest analysis. The relationship between the R2SN and inter-regional co-expression of gene enriched was also explored, as well as the relationship with general intelligence. ResultsThe R2SN can be replicated in different datasets, also regardless of using different feature subsets. The R2SN showed high reliability with the test-retest analysis (ICC>0.7). Besides, the small-word property ({sigma}>2) and the high correlation with the gene expression (R=0.24, P<0.001) and the general intelligence was found by R2SN. ConclusionR2SN provides a novel, reliable, and biologically plausible method to understand human morphological covariance based on structural MRI. Impact StatementImaging biomarkers are the cornerstone of modern radiology, and the development of valid biomarkers is crucial for optimizing individualized prediction in neurological disorders like AD. Thus, the development of the data mining method from neuroimaging is crucial for adding the biomarkers of disease. This study confirmed that R2SN provides a novel, robust and biologically plausible model and a new perspective for understanding the human brain, therefore. Thus, the R2SN has great promise in further study.

neuroscience↗

bioRxiv2020

A body map of somatic mutagenesis in morphologically normal human tissues

Somatic mutations accumulated in normal tissues are associated with aging and disease. Here, we performed a comprehensive genomic analysis of 1,737 morphologically normal tissue biopsies (~ 600 cells each), mostly from the epithelia, of nine organs from five donors. We found that somatic mutation accumulations and clonal expansions are widespread, although with variable extent, in morphologically normal human tissues. Somatic copy number alterations were rarely detected, except for tissues from esophagus and cardia. Endogenous mutational processes like SBS1 and SBS5 are ubiquitous among normal tissues though exhibiting different relative activities. Exogenous mutational processes like SBS22 were found in different tissues from the same donor. We reconstructed the spatial somatic clonal architecture with sub-millimeter resolution. In epithelial tissues from esophagus and cardia, macroscopic somatic clones expanded to several millimeters were frequently seen, whereas in tissues from colon, rectum, and duodenum somatic clones were microscopic in size and evolved independently. Our study depicted a body map of somatic mutations and clonal expansions from the same individuals, and it revealed that the degree of somatic clonal expansion and enrichment of driver mutations are highly organ specific.

genomics↗

bioRxiv2020

Double Lock of a Potent Human Monoclonal Antibody against SARS-CoV-2

Receptor recognition and subsequent membrane fusion are essential for the establishment of successful infection by SARS-CoV-2. Halting these steps can cure COVID-19. Here we have identified and characterized a potent human monoclonal antibody, HB27, that blocks SARS-CoV-2 attachment to its cellular receptor at sub-nM concentrations. Remarkably, HB27 can also prevent SARS-CoV-2 membrane fusion. Consequently, a single dose of HB27 conferred effective protection against SARS-CoV-2 in two established mouse models. Rhesus macaques showed no obvious adverse events when administrated with 10-fold of effective dose of HB27. Cryo-EM studies on complex of SARS-CoV-2 trimeric S with HB27 Fab reveal that three Fab fragments work synergistically to occlude SARS-CoV-2 from binding to ACE2 receptor. Binding of the antibody also restrains any further conformational changes of the RBD, possibly interfering with progression from the prefusion to the postfusion stage. These results suggest that HB27 is a promising candidate for immuno-therapies against COVID-19. HighlightsO_LISARS-CoV-2 specific antibody, HB27, blocks viral receptor binding and membrane fusion C_LIO_LIHB27 confers prophylactic and therapeutic protection against SARS-CoV-2 in mice models C_LIO_LIRhesus macaques showed no adverse side effects when administered with HB27 C_LIO_LICryo-EM studies suggest that HB27 sterically occludes SARS-CoV-2 from its receptor C_LI

biophysics↗

bioRxiv2020

Pulmonary B cells ameliorate Alzheimer's disease-like neuropathology

Increasing evidence shows that the peripheral immune system is involved in the pathogenesis of Alzheimers disease (AD). Here, we report that pulmonary B cells mitigate beta-Amyloid (A{beta}) pathology in 5xFAD mice. The proportion of B cells rather than T cells increases in brain, meningeal and lung tissues in 3-month-old 5xFAD mice. Deletion of B cells aggravates A{beta} load and memory deficits of 5xFAD mice. Mechanimsly, pulmonary B cells can migrate to the brain parenchyma and produce interleukin-35 that inhibits neuronal {beta}-site APP-cleaving enzyme 1 expression, subsequently reducing the production of A{beta}. In turn, proliferation of pulmonary B cells is associated with activation of toll-like receptor/nuclear factor kappa-B pathway by elevated A{beta} that is drained from the brain parenchyma to the lungs via meningeal lymphatics. Furthermore, promoting pulmonary B cell proliferation via overexpression of B-cell-activating factor ameliorates brain A{beta} load and improves cognitive functions of 10-month-old 5xFAD mice. Together, these results highlight the lungs as both immune targets and effector organs in A{beta} pathogenesis. Pulmonary B cells might be a potential target against AD.

neuroscience↗

bioRxiv2020

GEMC1-MCIDAS transcriptional program regulates multiciliogenesis in the choroid plexus and acts as a barrier to tumorigenesis

Multiciliated cells (MCCs) in the brain include the ependymal cells and choroid plexus (CP) epithelial cells. The CP secretes cerebrospinal fluid that circulates within the ventricular system, driven by ependymal cilia movement. However, the mechanisms and functional significance of multiciliogenesis in the CP remain unknown. Deregulated oncogenic signals cause CP carcinoma (CPC), a rare but aggressive pediatric brain cancer. Here we show that aberrant NOTCH and Sonic Hedgehog signaling in mice drive tumors that resemble CPC in humans. NOTCH-driven CP tumors were monociliated, whereas disruption of the NOTCH complex restored multiciliation and decreased tumor growth. NOTCH suppressed multiciliation in tumor cells by inhibiting the expression of GEMC1 and MCIDAS, early regulators of multiciliogenesis. Consistently, GEMC1-MCIDAS function is essential for multiciliation in the CP, and is critical for correcting multiciliation defect in tumor cells by a NOTCH inhibitor. Disturbances to the GEMC1 program are commonly observed in human CPCs characterized by solitary cilia. Consistently, CPC driven by deletion of Trp53 and Rb1 in mice exhibits a cilia deficit consequent to loss of Gemc1-Mcidas expression. Taken together, these findings reveal a GEMC1-MCIDAS multiciliation program in the CP critical for inhibiting tumorigenesis, and it may have therapeutic implications for the treatment of CPC.

cancer biology↗

bioRxiv2020

LncRNA H19X is required for placenta development and angiogenesis through regulating a noncoding RNA regulatory network

H19X is a lncRNA specifically expressed in the placenta, whose expression is induced by hypoxia. H19X overexpression promoted trophoblast proliferation and invasion, while its knockdown or knockout inhibited trophoblast proliferation and invasion. Mechanistically, we demonstrated that reciprocal regulation exists with miR-424/miR-503 in the control of genes related to placental development and angiogenesis, including VEGF and VEGFR2. H19X inhibited ubiquitination of PIWIL1, thereby maintaining its stability and homeostatic expression of piRNAs. PIWIL1 overexpression rescued the defects of cell behavior caused by H19X KO. H19X deletion led to compromised HIF-1A/HIF-2A expression, which was correlated with the dysregulation of downstream genes under hypoxic conditions. CRISPR/Cas-9 knockout of H19X in animals led to defective placenta differentiation and compromised embryo development under hypoxic conditions. Western blotting showed reduced expression levels of PIWIL1 as well as angiogenesis marker genes, including VEGF and VEGFR2, in H19X KO mice. Thus, this study provides evidence of an unexpected link among lncRNA, miRNA, PIWIL1-related piRNA, and angiogenesis in placentation, the dysregulation of which leads to poor placental development and embryo loss under hypoxic conditions.

developmental biology↗

bioRxiv2020

Disentangling genetic feature selection and aggregation in transcriptome-wide association studies

The success of transcriptome-wide association studies (TWAS) has led to substantial research towards improving its core component of genetically regulated expression (GReX). GReX links expression information with phenotype by serving as both the outcome of genotype-based expression models and the predictor for downstream association testing. In this work, we demonstrate that current linear models of GReX inadvertently combine two separable steps of machine learning - feature selection and aggregation - which can be independently replaced to improve overall power. We show that the monolithic approach of GReX limits the adaptability of TWAS methodology and practice, especially given low expression heritability.

bioinformatics↗

bioRxiv2020

High-dimensional association detection in large scale genomic data

Joint analyses of genomic datasets obtained in multiple different conditions are essential for understanding the biological mechanism that drives tissue-specificity and cell differentiation, but they still remain computationally challenging. To address this we introduce CLIMB (Composite LIkelihood eMpirical Bayes), a statistical methodology that learns patterns of condition-specificity present in genomic data. CLIMB provides a generic framework facilitating a host of analyses, such as clustering genomic features sharing similar condition-specific patterns and identifying which of these features are involved in cell fate commitment. We apply CLIMB to three sets of hematopoietic data, which examine CTCF ChIP-seq measured in 17 different cell populations, RNA-seq measured across constituent cell populations in three committed lineages, and DNase-seq in 38 cell populations. Our results show that CLIMB improves upon existing alternatives in statistical precision, while capturing interpretable and biologically relevant clusters in the data.

bioinformatics↗

bioRxiv2020

A Fast Lysine Cross-linker DOPA Enables Mass Spectrometry Analyses of Protein Unfolding and Weak Protein-protein Interactions

Chemical cross-linking of proteins coupled with mass spectrometry analysis (CXMS) has become a widely used method for protein structure analysis. Central to this technology are chemical cross-linkers. The most popular cross-linkers are N-hydroxysuccinimide (NHS) esters, which react with protein amino groups relatively slowly over 10 minutes or more while in competition with the hydrolysis reaction of NHS esters. To improve the speed of cross-linking, we developed a new class of amine-selective and non-hydrolyzable di-ortho-phthalaldehyde (DOPA) cross-linkers. DOPA can cross-link proteins in 10 seconds under near physiological conditions, which is 60 times faster than the NHS ester cross-linker DSS. DOPA also works at low pH, low temperature, or in the presence of high concentrations of denaturants such as 8 M urea or 6 M guanidine hydrochloride. Further, DOPA-mediated pulse cross-linking captured the dynamic conformational changes associated with RNase A unfolding. Lastly, DOPA outperformed DSS at capturing weak but specific protein-protein interactions.

biochemistry↗

bioRxiv2020

LACCASE is Necessary for Root Development in Salvia miltiorrhiza

Laccases are multicopper-containing glycoproteins related to monolignol oxidation and polymerization. These properties indicate that laccases are involved in the formation of important medicinal phenolic acid compounds in Salvia miltiorrhiza such as salvianolic acid B (SAB), which is used for cardiovascular disease treatment. To date, 29 laccases have been found in S. miltiorrhiza, some of which influence the synthesis of phenolic acids. Because of the functional redundancy of laccase genes, their roles in S. miltiorrhiza are poorly understood. In this study, the CRISPR/Cas9 system was first used for dual gene locus targeting in S. miltiorrhiza to knock out multiple laccase family genes. The development of the roots was retarded, and root microstructure was abnormal in laccase mutant lines. Additionally, the accumulation of phenolic acid compounds as well as lignin was dramatically reduced. This study suggests that SmLACs are necessary for root development and phenolic acid compound metabolism in S. miltiorrhiza.

plant biology↗

bioRxiv2020

Compensatory hepatic adaptation accompanies permanent absence of intrahepatic biliary network due to YAP1 loss in liver progenitors

YAP1 regulates cell plasticity during liver injury, regeneration and cancer, but its role in liver development is unknown. YAP1 activity was detected in biliary cells and in cells at the hepato-biliary bifurcation in single-cell RNA-sequencing analysis of developing livers. Hepatoblast deletion of Yap1 led to no impairment in Notch-driven SOX9+ ductal plate formation, but prevented the formation of the abutting second layer of SOX9+ ductal cells, blocking the formation of a patent intrahepatic biliary tree. Intriguingly, the mice survived for 8 months with severe cholestatic injury and without any hepatocyte-to-biliary transdifferentiation. Ductular reaction in the perihilar region suggested extrahepatic biliary proliferation likely seeking the missing intrahepatic biliary network. Long-term survival of these mice occurred through hepatocyte adaptation via reduced metabolic and synthetic function including altered bile acid metabolism and transport. Overall, we show YAP1 as a key regulator of bile duct development while highlighting a profound adaptive capability of hepatocytes.

pathology↗

bioRxiv2020

A structure-function substrate of memory for spatial configurations in medial and lateral temporal cortices

AO_SCPLOWBSTRACTC_SCPLOWPrior research has shown that structures of the mesiotemporal lobe, particularly the hippocampal-parahippocampal complex, are engaged in different forms of spatial cognition. Here, we developed a new paradigm, the Conformational Shift Spatial task (CSST), which examines the ability to encode and retrieve spatial relations between three unrelated items. This task is short, uses symbolic cues, and incorporates two difficulty levels and can be administered inside and outside the scanner. A cohort of 48 healthy young adults underwent the CSST, together with a set of validated behavioral measures and multimodal magnetic resonance imaging (MRI). Interindividual differences in CSST performance correlated with scores on an established spatial memory paradigm, but neither with episodic memory nor pattern separation performance, highlighting the specificity of the new measure. Analyzing high resolution structural MRI data, individuals with better spatial memory showed thicker medial as well as lateral temporal cortices. Functional relevance of these findings was supported by task-based functional MRI analysis in the same participants and ad hoc meta-analysis. Exploratory resting-state functional MRI analyses centered on clusters of morphological effects revealed additional modulation of intrinsic network integration, particularly between lateral and medial temporal structures. Our work presents a novel spatial memory paradigm and supports an integrated structure-function substrate in the human temporal lobe. Task paradigms are programmed in python and made open access.

neuroscience↗

bioRxiv2020

CancerVar: a web server for improved evidence-based clinical interpretation of cancer somatic mutations and copy number abnormalities

Several knowledgebases, such as CIViC and OncoKB, have been manually curated to support clinical interpretations of a limited number of "hotspot" somatic mutations in cancer, yet discrepancies or even conflicting interpretations have been observed among these knowledgebases. Additionally, while these knowledgebases have been extremely useful, they typically cannot interpret novel mutations, which may also have functional and clinical impacts in cancer. To address these challenges, we developed an automated interpretation tool called CancerVar (Cancer Variants interpretation) to score more than 12.9 million somatic mutations and classify them into four tiers: strong clinical significance, potential clinical significance, uncertain clinical significance, and benign/likely benign, based on the AMP/ASCO/CAP 2017 guideline. Considering that the AMP/ASCO/CAP rule-based scoring system may have inherent limitations, such as lack of a clear guidance on weighing different pieces of functional evidence or unclear definition for certain clinical evidence, it may cause misinterpretation for certain variants that have functional impacts but no proven clinical significance. To address this issue, we further introduced a deep learning-based scoring system to predict oncogenicity of mutations by semi-supervised generative adversarial network (SGAN) method using both functional and clinical evidence. We trained and validated the SGAN model on 5,234 somatic mutations from an in-house database of clinical reports on cancer patients, and achieved a good performance when testing on 6,226 variants that were curated by us through literature search. We also compared the prediction with several independent datasets and showed great utility in classifying variants with previously unknown interpretations. CancerVar is also incorporated into a web server that can generate automated texts with summarized descriptive interpretations, such as diagnostic, prognostic, targeted drug responses and clinical trial information for many hotspot mutations. In summary, CancerVar can facilitate clinical interpretation and hypothesis generation for somatic mutations, and greatly reduce manual workload for retrieving relevant evidence and implementing existing guidelines.

cancer biology↗

bioRxiv2020

High-throughput whole-brain mapping of rhesus monkey at micron resolution

Whole-brain mesoscale mapping of primates has been hindered by large brain size and the relatively low throughput of available microscopy methods. Here, we present an integrative approach that combines primate-optimized tissue sectioning and clearing with ultrahigh-speed, large-scale, volumetric fluorescence microscopy, capable of completing whole-brain imaging of a rhesus monkey at 1 {micro}m x 1 {micro}m x 2.5 {micro}m voxel resolution within 100 hours. A progressive strategy is developed for high-efficiency, long-range tracing of individual axonal fibers through the dataset of hundreds of terabytes, establishing a "Serial sectioning and clearing, 3-dimensional Microscopy, with semi-Automated Reconstruction and Tracing" (SMART) pipeline. This system supports effective connectome-scale mapping of large primates that reveals distinct features of thalamocortical projections of the rhesus monkey brain at the level of individual axonal fibers.

neuroscience↗

bioRxiv2020

A transcriptomic taxonomy of Drosophila circadian neurons around the clock

Many different functions are regulated by circadian rhythms, including those orchestrated by discrete clock neurons within animal brains. To comprehensively characterize and assign cell identity to the 75 pairs of Drosophila circadian neurons, we optimized a single cell RNA sequencing method and assayed clock neuron gene expression at different times of day. The data identify at least 17 clock neuron categories with striking spatial regulation of gene expression. Transcription factor regulation is prominent and likely contributes to the robust circadian oscillation of many transcripts, including those that encode cell-surface proteins previously shown to be important for cell recognition and synapse formation during development. We suggest that these molecules orchestrate the temporal regulation of synapse formation and/or strength. The many other clock-regulated genes also constitute an important resource for future mechanistic and functional studies between clock neurons and/or for temporal signaling to circuits elsewhere in the fly brain.

neuroscience↗