Biology subjects

Qu, X.

Publications and source records attributed to Qu, X..

51 records · Page 3Linked to original sources

bioRxiv2021

Expression analysis and single-nucleotide polymorphisms of MLPH and PMEL17 genes associated with melanin deposition in Xuefeng black-bone chickens

Melanin deposition related genes such as MLPH and PMEL17 play an important role in black-bone chicken. This study was aimed to identify and associate SNPs in the MLPH and PMEL17 genes with melanin content of pectoral muscle (MCPM) in Xuefeng black-bone chicken. A total of 120 Xuefeng black-bone chickens at 120-day-old were randomly selected to measure blackness of pectoral muscle (BPM), according to the degree of BPM selected 22 high blackness (HB) and 22 low blackness (LB) chickens to determine the MCPM, and extract DNA and mRNA. The results indicated that the MCPM in the HB group was higher than in the LB group (P < 0.01), and the L value in the HB group was lower than in the LB group (P < 0.01). And we measured the mRNA expression levels of MLPH and PMEL17 genes in pectoral muscle by quantitative real-time PCR. The results revealed that the mRNA expression levels of MLPH gene (P < 0.05) and PMEL17 gene (P < 0.01) in the HB group was higher than in the LB group, and the mRNA relative expression level of MLPH and PMEL17 genes with MCPM was positive correlation (P < 0.01). And the sequencing results found that a total of 17 SNPs were found in MLPH gene, the C-1411T was associated with MCPM (P < 0.05), there was no difference in MCPM among other locus (P > 0.05). And there were 10 SNPs in PMEL17 gene, the G-1843C, C-2812T, and G-2794A were associated with MCPM (P < 0.05), there was no difference in the MCPM among other locus (P > 0.05). These SNPs could be molecular markers for breeding selection of blackness traits.

genetics↗

bioRxiv2021

PET imaging studies to investigate functional expression of mGluR2 using mG2P001

Metabotropic glutamate receptor 2 (mGluR2) has been extensively studied for the treatment of various neurological and psychiatric disorders. Understanding of the mGluR2 function is pivotal in supporting the drug discovery targeting mGluR2. Herein, the positive allosteric modulation of mGluR2 was investigated via the in vivo positron emission tomography (PET) imaging using 2-((4-(2-[11C]methoxy-4-(trifluoromethyl)phenyl)piperidin-1-yl)methyl)-1-methyl-1H-imidazo[4,5-b]pyridine ([11C]mG2P001).Distinct from the orthosteric compounds, pretreatment with the unlabeled mG2P001, a potent mGluR2 positive allosteric modulator (PAM), resulted in a significant increase instead of decrease of the [11C]mG2P001 accumulation in rat brain detected by PET imaging. Subsequent in vitro studies with [3H]mG2P001 revealed the cooperative binding mechanism of mG2P001 with glutamate and its pharmacological effect that contributed to the enhanced binding of [3H]mG2P001 in transfected CHO cells expressing mGluR2. The in vivo PET imaging and quantitative analysis of [11C]mG2P001 in non-human primates (NHPs) further validated the characteristics of [11C]mG2P001 as an imaging ligand for mGluR2. Self-blocking studies in primates enhanced accumulation of [11C]mG2P001 dose- and delivery-dependently. Altogether, these studies show that [11C]mG2P001 is a sensitive biomarker for mGluR2 expression and the binding is affected by the tissue glutamate concentration.

neuroscience↗

bioRxiv2021

Impaired α-tubulin re-tyrosination leads to synaptic dysfunction and is a feature of Alzheimer's disease

In neurons, dynamic microtubules play regulatory roles in neurotransmission and synaptic plasticity. While stable microtubules contain detyrosinated tubulin, dynamic microtubules are composed of tyrosinated tubulin, suggesting that the tubulin tyrosination/detyrosination (Tyr/deTyr) cycle modulates microtubule dynamics and synaptic function. In the Tyr/deTyr cycle, the C-terminal tyrosine of -tubulin is re-added by tubulin-tyrosine-ligase (TTL). Here we show that TTL+/- mice exhibit decreased tyrosinated microtubules, synaptic plasticity and memory deficits, and that reduced TTL expression is a feature of sporadic and familial Alzheimers disease (AD), with human APPV717I neurons having less dynamic microtubules. We find that spines visited by dynamic microtubules are more resistant to Amyloid{beta}1-42 and that TTL, by promoting microtubule entry into spines, prevents A{beta}1-42-induced spine pruning. Our results demonstrate that the Tyr/deTyr cycle regulates synaptic plasticity, is protective against spine injury, and that tubulin re-tyrosination is lost in AD, providing evidence that a defective Tyr/deTyr cycle may contribute to neurodegeneration.

neuroscience↗

bioRxiv2021

Population genomics of Salmonella enterica serovar Weltevreden ST365, an emerging predominant causative agent of diarrheal disease

Salmonella enterica serovar Weltevreden is a recently emerged pathogen, and as such we lack a comprehensive knowledge of its microbiology, genomics, epidemiology and biogeography. In this study, we analyzed 174 novel S. Weltevreden isolates including 111 isolates recovered from diarrheal patients in China between 2006 and 2017. Our results demonstrate that the ST365 clone was the predominant causative agent of the diarrhea-outbreak during this period, as vast majority of the isolates recovered from diarrheal patients belonged to this sequence type (97.37%, 74/76). We also determined the ST365 clone as the predominant sequence type of S. Weltevreden from diarrheal patients globally from previously published sequences (97.51%, 196/201). In order to determine the possible antimicrobial genes and virulence factors associated with S. Weltevreden, we performed whole genome sequencing on our novel isolates. We were able to identify a range of key virulence factors associated with S. Weltevreden that are likely to be beneficial to their fitness and pathogenesis. Furthermore, we were able to isolate a novel 100.03-kb IncFII(S) type virulence plasmid that used the same replicon as pSPCV virulence plasmid. Importantly, we demonstrated through plasmid elimination a functional role for this plasmid in bacterial virulence. These findings are critical to further our knowledge of this high consequence pathogen. ImportanceSalmonella Weltevreden is a newly emerged foodborne pathogen and has caused several outbreaks of diarrheal diseases in some regions in the world. However, comprehensive knowledge of microbiology, genomics, epidemiology and biogeography of this newly emerged pathogen is still lack. In this study, we made an unexpected discovery that S. Weltevreden sequence type (ST) 365 is the causative agent in the diarrhea-outbreak in China and many other regions of the world. We also shown that this sequence type was widely recovered from animal, food, and environmental samples collected in different regions in the world. Importantly, we discovered a novel IncFII(S) type virulence plasmid commonly carried by S. Weltevreden strains of both human, animal, and food origins. These data facilitate future studies investigating the emergence of S. Weltevreden involved in diarrheal outbreaks and the global spread of S. Weltevreden strains.

microbiology↗

bioRxiv2020

Quantitative trait locus mapping for common scab resistance in a tetraploid potato full-sib population

Despite the negative impact of common scab (Streptomyces spp.) to the potato industry, little is known about the genetic architecture of resistance to this bacterial disease in the crop. We evaluated a mapping population (~150 full-sibs) derived from a cross between two tetraploid potatoes ( Atlantic x B1829-5) in three environments (MN11, PA11, ME12) under natural common scab pressure. Three measures to common scab reaction were assessed, namely percentage of scabby tubers, and disease area and lesion indices, which were highly correlated (>0.76). Due to large environmental effect, heritability values were zero for all three traits in MN11, but moderate to high in PA11 and ME12 (0.44~0.79). We identified a single quantitative trait locus (QTL) for lesion index in PA11, ME12 and joint analyses on linkage group 3, explaining 22~30% of the total variation. The identification of QTL haplotypes and candidate genes contributing to disease resistance can support genomics-assisted breeding approaches.

genetics↗

bioRxiv2020

A new pipeline to automatically segment and semi-automatically measure bone length on 3D models obtained by Computed Tomography

The characterization of developmental phenotypes often relies on the accurate linear measurement of structures that are small and require laborious preparation. This is tedious and prone to errors, especially when repeated for the multiple replicates that are required for statistical analysis, or when multiple distinct structures have to be analysed. To address this issue, we have developed a pipeline for characterization of long-bone length and inter-vertebral distance using X-ray microtomography (XMT) scans. The pipeline involves semi-automated algorithms for automatic thresholding and fast interactive isolation and 3D-model generation of the main limb bones, using either the open-source ImageJ plugin BoneJ or the commercial Mimics Innovation Suite package. The tests showed the appropriate combination of scanning conditions and analysis parameters yields fast and comparable length results, highly correlated with the measurements obtained via ex vivo skeletal preparations. Moreover, since XMT is not destructive, the samples can be used afterwards for histology or other applications. Our new pipelines will help developmental biologists and evolutionary researchers to achieve fast, reproducible and non-destructive length measurement of bone samples from multiple animal species. Summary statementBeltran Diaz et al. present a semi-automated pipeline for fast and versatile characterization of bone length from micro-CT images of mouse developmental samples.

developmental biology↗

bioRxiv2019

SSnet - Secondary Structure based End-to-End Learning model for Protein-Ligand Interaction Prediction

Computational prediction of Protein-Ligand Interaction (PLI) is an important step in the modern drug discovery pipeline as it mitigates the cost, time, and resources required to screen novel therapeutics. Deep Neural Networks (DNN) have recently shown excellent performance in PLI prediction. However, the performance is highly dependent on protein and ligand features utilized for the DNN model. Moreover, in current models, the deciphering of how protein features determine the underlying principles that govern PLI is not trivial. In this work, we developed a DNN framework named SSnet that utilizes secondary structure information of proteins extracted as the curvature and torsion of the protein backbone to predict PLI. We demonstrate the performance of SSnet by comparing against a variety of currently popular machine and non-machine learning models using various metrics. We visualize the intermediate layers of SSnet to show a potential latent space for proteins, in particular to extract structural elements in a protein that the model finds influential for ligand binding, which is one of the key features of SSnet. We observed in our study that SSnet learns information about locations in a protein where a ligand can bind including binding sites, allosteric sites and cryptic sites, regardless of the conformation used. We further observed that SSnet is not biased to any specific molecular interaction and extracts the protein fold information critical for PLI prediction. Our work forms an important gateway to the general exploration of secondary structure based deep learning, which is not just confined to protein-ligand interactions, and as such will have a large impact on protein research while being readily accessible for de novo drug designers as a standalone package.

bioinformatics↗

bioRxiv2019

Blimp-1 in adipose resident Tregs controls adipocyte beiging and obesity

Crosstalk between the immune system and adipocytes is critical for maintaining tissue homeostasis and regulating chronic systemic inflammation during diet-induced obesity (DIO). How visceral adipose tissue resident regulatory T cells (aTregs) signal to adipocytes in the visceral adipose tissue (VAT) is not understood. Here we show that Treg-specific ablation of the transcriptional regulator Blimp-1 resulted in increased insulin sensitivity, decreased body weight and increased Ucp-1 in adipocytes in high fat diet (HFD)-fed mice. Mechanistically, we demonstrate that Blimp-1 drives IL-10 production in Tregs, thus suppressing beiging and energy expenditure in adipocytes. Moreover, IL-10 mRNA expression positively correlated with increasing body weight in humans. These findings reveal a surprising relationship between aTregs and adipocytes in promoting insulin resistance during excessive caloric intake, placing Blimp-1-regulated IL-10 expression by aTregs at a critical juncture in the development of obesity and its associated comorbidities in mice and humans. SUMMARYHere we show that ablation of Blimp-1 in adipose tissue resident Tregs (aTregs) leads to decreased IL-10 production, resulting in increased Ucp-1 expression and beiging by adipocytes and protection from diet-induced obesity and insulin resistance.

immunology↗

bioRxiv2019

A bestiary of genetic mouse lines and related tools for inducible and reversible intersectional misexpression

Thanks to many advances in genetic manipulation, mouse models have become very powerful in their ability to interrogate biological processes. In order to precisely target expression of a gene of interest to particular cell types, intersectional genetic approaches utilizing two promoter/enhancers unique to a cell type are ideal. Within these methodologies, variants that add temporal control of gene expression are the most powerful. We describe the development, validation and application of an intersectional approach that involves three transgenes, requiring the intersection of two promoter/enhancers to target gene expression to precise cell types. Furthermore, the approach utilizes available lines expressing tTA/rTA to control timing of gene expression based on whether doxycycline is absent or present, respectively. We also show that the approach can be extended to other animal models, using chicken embryos. We generated three mouse lines targeted at the Tigre (Igs7) locus with TRE-loxP-tdTomato-loxP upstream of three genes (p21, DTA and Ctgf) and combined them with Cre and tTA/rtTA lines that target expression to the cerebellum and limbs. Our tools will facilitate unraveling biological questions in multiple fields and organisms. Summary statementAhmadzadeh et al. present a collection of four mouse lines and genetic tools for misexpression-mediated manipulation of cellular activity with high spatiotemporal control, in a reversible manner.

molecular biology↗

bioRxiv2019

Pathogenic Role of Delta 2 Tubulin in Bortezomib Induced Peripheral Neuropathy

The pathogenesis of chemotherapy induced peripheral neuropathy (CIPN) is still poorly understood. Herein, we found that the CIPN-causing drug, bortezomib (Bort), induces delta 2 tubulin (D2) while affecting MT stability and dynamics in sensory neurons, and that accumulation of D2 is a hallmark of Bort-induced peripheral neuropathy in humans. Furthermore, while induction of D2 was sufficient to cause axonopathy and inhibit mitochondria motility, reducing D2 alleviated both axonal degeneration and loss of mitochondria motility promoted by Bort. Altogether, our data demonstrate that Bort, structurally unrelated to tubulin poisons, can affect the tubulin cytoskeleton in sensory neurons in vitro, in vivo and in humans, indicating that the pathogenic mechanisms of seemingly unrelated CIPN drugs may converge on tubulin damage. They further reveal a previously unrecognized pathogenic role for D2 in bortezomib-causing CIPN through its regulation of mitochondria dynamics.

neuroscience↗

bioRxiv2019

Activity-dependent nucleation of dynamic microtubules at presynaptic boutons is required for neurotransmission

Control of microtubule (MT) dynamics is critical for neuronal function. Whether MT nucleation is regulated at presynaptic boutons and influences overall presynaptic activity remains unknown. By visualizing MT dynamics at individual excitatory en passant boutons in axons of hippocampal neurons we found that MTs preferentially grow from presynaptic boutons as a result of {gamma}-tubulin and augmin-dependent nucleation. MT nucleation at boutons is promoted by neuronal activity, functionally coupled to synaptic vesicle (SV) transport, and required for neurotransmission. Hence, en passant boutons act as hotspots for activity-dependent MT nucleation, which is required for neurotransmission by providing the tracks for a rate-limiting supply of SVs to sites of neurotransmitter release.\n\nHighlightsO_LIExcitatory boutons are hotspots for neuronal activity-induced {gamma}-tubulin dependent MT nucleation\nC_LIO_LIThe augmin complex is required for the correct polarity of presynaptic de novo nucleated MTs\nC_LIO_LIPresynaptic MT nucleation promotes SV motility and exocytosis at sites of release\nC_LI\n\nIn BriefOur results demonstrate that excitatory en passant boutons are hotspots for neuronal activity-induced {gamma}-tubulin- and augmin-dependent oriented MT nucleation, and that the resulting presynaptic de novo nucleated MTs promote inter-bouton SV motility which is rate-limiting for neurotransmitter release.

cell biology↗

bioRxiv2019

Untangling the Relatedness among Correlations, Part III: Inter-Subject Correlation Analysis through Bayesian Multilevel Modeling for Naturalistic Scanning

While inter-subject correlation (ISC) analysis is a powerful tool for naturalistic scanning data, drawing appropriate statistical inferences is difficult due to the daunting task of accounting for the intricate relatedness in data structure as well as the intricacy of handling the multiple testing issue. In our previous work we proposed nonparametric approaches to performing group ISC analysis through bootstrapping for one group of subjects and permutation testing for two groups (Chen et al., 2016). A more flexible methodology is to parametrically build a linear mixed-effects (LME) model that captures the relatedness embedded in the data (Chen et al., 2017); in addition, the LME approach also has the capability of incorporating explanatory variables such as subject-grouping factors and quantitative covariates. However, the whole-brain LME modeling methodology still faces some challenges. When an LME model becomes sophisticated, it becomes difficult or even impossible to assign accurate degrees of freedom for each testing statistic. In addition, the typical correction methods for multiple testing through spatial extent tend to be over-penalizing, and dichotomous decisions through thresholding under null hypothesis significance testing (NHST) are controversial in general and equally problematic in neuroimaging as well. For instance, the popular practice of only reporting \"statistically significant\" results in neuroimaging not only wastes data information, but also distorts the full results as well as perpetuates the reproducibility crisis because of the fact that the difference between a \"significant\" result and a \"non-significant\" one is not necessarily significant.\n\nHere we propose a Bayesian multilevel (BML) framework for ISC data analysis that integrates all the spatial elements (i.e., regions of interest) into one model. By loosely constraining the regions through a weakly informative prior, BML conservatively pools the effect of each region toward the center, and improves collective fitting and overall model performance. The BML paradigm leverages the commonality or similarity among brain regions and the information across multiple levels embedded in the hierarchical data structure instead of leveraging the spatial extent adopted in the conventional correction method for multiple testing. In addition to potentially achieving a higher inference efficiency than the conventional LME approach, BML improves spatial specificity and easily allows the investigator to adopt a philosophy of full results reporting (instead of dichotomizing into \"significant\" and \"non-significant\" results), thus minimizing loss of information while enhancing reproducibility. A dataset of naturalistic scanning is utilized to illustrate the modeling approach with 268 parcels and to showcase the modeling capability, flexibility and advantages in reports reporting. The associated program will be available as part of the AFNI suite for general use.

neuroscience↗

bioRxiv2019

Androgen-dmrt1 positive feedback programs the rice field eel (Monopterus albus) sex transdifferentiation

The rice field eel Monopterus albus is a hermaphroditic protogynous fish species that undergoes sex reversal from female to male. However, the potential mechanisms underlying the process of sex transformation are still unclear. We analyzed and compared the gene sequence of M. albus dmrt1 5' upstream region and its potential transcription factor binding sites with other known species and examined the in vitro effects of testosterone (T) on the expression levels of dmrt1a and foxl2 in the ovotestis. Moreover, we cloned and analyzed the expression of genes encoding enzymes, 11{beta}-hydroxylase (11{beta}-h) and 11{beta}-hydroxysteroid dehydrogenase (11{beta}-hsd), involved in the production of 11-ketotestosterone (11-KT). The results showed that, compared with other fish species, M. albus dmrt1 5' upstream region contained unique androgen response elements (AREs) with one on the sense strand and the other one on the antisense strand, indicating a crucial role for androgens in the transcriptional regulation of dmrt1. The expression of dmrt1a was induced but the expression of foxl2 was inhibited by T manipulation in vitro, suggesting that blood androgen could activate the transcription of dmrt1 in the ovotestis. Moreover, the expression levels of 11{beta}-h and 11{beta}-hsd2 were predominantly expressed in testis, much less in ovotestis, and barely in ovary, suggesting the production of 11-KT during sex reversal. Androgens are synthesized in large amounts during sex reversal, leading to the promotion of dmrt1 transcription, and thus, gonadal somatic cells transdifferetiation. Overall, androgen-dmrt1 positive feedback programs the M. albus sex reversal.

animal behavior and cognition↗

bioRxiv2019

Airway epithelial integrin β4 suppresses allergic inflammation by decreasing CCL17 production

Airway epithelial cells (AECs) play a key role in asthma susceptibility and severity. Integrin {beta}4 (ITGB4) is a structural adhesion molecule that is downregulated in the airway epithelium of asthma patients. Specific ITGB4 deficiency in AECs induces exaggerated Th2 responses, severe allergen-induced airway inflammation and airway hyperresponsiveness (AHR) in mouse model of allergic asthma. However, the underlying mechanisms remain unexplored. In this study, we determine the role of ITGB4 of AECs in the regulation of Th2 response and in the induction of asthma and identify the underpinning molecular mechanisms. We found that ITGB4 deficiency led to exaggerated Th2 cells infiltration, inflammation and AHR and higher production of CCL17 in HDM treated mice. ITGB4-regulated CCL17 production in AECs was regulated by EGFR, ERK and NF-{kappa}B pathways. EFGR-antagonist treatment or the neutralization of CCL17 by antibody inhibited exaggerated pathological marks in HDM-challenged ITGB4-deficient mice. Together, these results demonstrated that ITGB4 of AECs negatively regulates the development of Th2 responses of allergic asthma by down-regulation of EGFR and CCL17 pathway.

immunology↗

bioRxiv2018

Distinct Patterns of the Autofluorescence of Body Surface: Potential Novel Diagnostic Biomarkers for Stable Coronary Artery Disease and Myocardial Infarction

Searches for new biomarkers of stable coronary artery disease (SCAD) and myocardial infarction (MI) are critical for therapeutic efficacy of the diseases. In this study we tested our hypothesis that distinct patterns of autofluorescence (AF) of skin and fingernails may become novel diagnostic biomarkers for MI and SCAD. Our study has indicated that SCAD and MI have distinct patterns of AF of their body surface: First, the AF intensity of the MI patients is significantly higher than that of the Healthy and Low-Risk group in their right and left Centremetacarpus, Ventroforefinger, Dorsal Index Finger and Ventribrachium, while the AF intensity of the SCAD patients is significantly higher than that of the Healthy and Low-Risk group in their right and left Index Fingernails and Dorsal Antebrachium; and second, the AF asymmetry of the MI patients is significantly higher than that of the Healthy and Low-Risk group in their Centremetacarpus, Ventroforefinger, Index Fingernails and Dorsal Antebrachium, while the AF asymmetry of the SCAD patients is significantly higher than that of the Healthy and Low-Risk group in their Ventroforefinger, Dorsal Index Finger, Dorsal Centremetacarpus and Index Fingernails. Moreover, the AF pattern of acute ischemic stroke is markedly different from those of SCAD and MI. The oxidative stress in the plasma of the MI and SCAD patients may cause the increased AF by altering the AF of keratins. Collectively, our study has indicated that SCAD and MI patients have distinct patterns of AF changes, which may become novel diagnostic biomarkers for SCAD and MI.

biophysics↗