Biology subjects

Song, L.

Publications and source records attributed to Song, L..

At least 163 records · Page 9Linked to original sources

bioRxiv2021

Nasal BCG Exposure Accelerates Dural Lymphatics Development via Macrophages' Role in Newborn Mice

The dural lymphatics develop mainly during the first postnatal month. Lymphatics may be shaped by immune activation when bacterial infection happens. BCG, a strong immune activator, is widely injected to newborns. Moreover, human beings are nasally exposed in daily life to bacterial stimuli. These background prompted us to investigate whether neonatal BCG injection combined with nasally exposure exerts an influence on dural lymphatics develop. Here, mice received a single dose intracutaneous (i.c.) BCG injection immediately after birth followed by repeated nasal BCG challenge once a day (i.c./nasal group). These mice had an accelerated dural lymphatics growth and increased levels of several cytokines and VEGFR-3. Furthermore, macrophages were identified as a key mediator of these alterations. Mice that received mere one dose i.c. BCG injection showed no significant alterations in these indexes. Additionally, mere repeated nasal BCG challenge induced similar effects to i.c./nasal challenge but with a slighter extent. Taken together, these findings show that repeated nasal BCG vaccination accelerates dural lymphatics development in neonatal mice, especially in the presence of neonatal i.c. BCG injection.

neuroscience↗

bioRxiv2021

Sex dependent glial-specific changes in the chromatin accessibility landscape in late-onset Alzheimer's disease brains

In the post-GWAS era, there is an unmet need to decode the underpinning genetic etiologies of late-onset Alzheimers disease (LOAD) and translate the associations to causation. Toward that goal, we conducted ATAC-seq profiling using neuronal nuclear protein (NeuN) sorted-nuclei from 40 frozen brain tissues to determine LOAD-specific changes in chromatin accessibility landscape in a cell-type specific manner. We identified 211 LOAD-specific differential chromatin accessibility sites in neuronal-nuclei, four of which overlapped with LOAD-GWAS regions ({+/-}100kb of SNP). While the non-neuronal nuclei did not show LOAD-specific differences, stratification by sex identified 842 LOAD-specific chromatin accessibility sites in females. Seven of these sex-dependent sites in the non-neuronal samples overlapped LOAD-GWAS regions including APOE. LOAD loci were functionally validated using single-nuclei RNA-seq datasets. In conclusion, using brain sorted-nuclei enabled the identification of sex-dependent cell type-specific LOAD alterations in chromatin structure. These findings enhance the interpretation of LOAD-GWAS discoveries, provide potential pathomechanisms, and suggest novel LOAD-loci. Furthermore, our results convey mechanistic insights into sex differences in LOAD risk and clinicopathology. GRAPHICAL ABSTRACT O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

neuroscience↗

bioRxiv2021

Impact of sulfamethoxazole on a riverine microbiome

The continued emergence of bacterial pathogens presenting antimicrobial resistance is widely recognised as a global health threat and recent attention focused on potential environmental reservoirs of antibiotic resistance genes (ARGs). Freshwater environments such as rivers represent a potential hotspot for ARGs and antibiotic resistant bacteria as they are receiving systems for effluent discharges from wastewater treatment plants (WWTPs). Effluent also contains low levels of different antimicrobials including antibiotics and biocides. Sulfonamides are antibacterial chemicals widely used in clinical, veterinary and agricultural settings and are frequently detected in sewage sludge and manure in addition to riverine ecosystems. The impact of such exposure on ARG prevalence and diversity is unknown, so the aim of this study was to investigate the release of a sub-lethal concentration of the sulfonamide compound sulfamethoxazole (SMX) on the river bacterial microbiome using a flume system. This system was a semi-natural in vitro flume using river water (30 L) and sediment with circulation to mimic river flow. A combination of omics approaches were conducted to study the impact of SMX exposure on the microbiomes within the flumes. Metagenomic analysis showed that the addition of low concentrations of SMX (<4 g L-1) had a limited effect on the bacterial resistome in the water fraction only, with no impact observed in the sediment. Metaproteomics did not show differences in ARGs expression with SMX exposure in water. Overall, the river bacterial community was resilient to short term exposure to sub-lethal concentrations of SMX which mimics the exposure such communities experience downstream of WWTPs throughout the year.

microbiology↗

bioRxiv2021

Outer Hair Cell Function is Normal in βV Spectrin Knockout Mice

Reports have proposed a putative role for {beta}V spectrin in outer hair cells (OHCs) of the cochlea. In an ongoing investigation of the role of the cytoskeleton in electromotility, we tested mice with a targeted exon deletion of {beta}V spectrin (Spnb5), and unexpectedly find that Spnb5(-/-) animals auditory thresholds are unaffected. Similarly, these mice have normal OHC electromechanical activity (otoacoustic emissions) and non-linear capacitance. In contrast, magnitudes of auditory brainstem response (ABR) wave 1-amplitudes are significantly reduced. Evidence of a synaptopathy was absent with normal hair cell CtBP2 counts. In Spnb5(-/-) mice, the number of afferent and efferent nerve fibers is decreased. Consistent with this data, Spnb5 mRNA is present in Type I and II spiral ganglion neurons, but undetectable in OHCs. Together, these data establish that {beta}V spectrin is important for hearing, affecting neuronal structure and function. Significantly, these data exclude {beta}V spectrin as functionally important to OHCs as has been previously suggested.

neuroscience↗

bioRxiv2021

Comprehensive comparison of transcriptomes in SARS-CoV-2 infection: alternative entry routes and innate immune responses

The pathogenesis of COVID-19 emerges as complex, with multiple factors leading to injury of different organs. Several studies on underlying cellular processes have produced contradictory claims, e.g. on SARS-CoV-2 cell entry or innate immune responses. However, clarity in these matters is imperative for therapy development. We therefore performed a meta-study with a diverse set of transcriptomes under infections with SARS-CoV-2, SARS-CoV and MERS-CoV, including data from different cells and COVID-19 patients. Using these data, we investigated viral entry routes and innate immune responses. First, our analyses support the existence of cell entry mechanisms for SARS and SARS-CoV-2 other than the ACE2 route with evidence of inefficient infection of cells without expression of ACE2; expression of TMPRSS2/TPMRSS4 is unnecessary for efficient SARS-CoV-2 infection with evidence of efficient infection of A549 cells transduced with a vector expressing human ACE2. Second, we find that innate immune responses in terms of interferons and interferon simulated genes are strong in relevant cells, for example Calu3 cells, but vary markedly with cell type, virus dose, and virus type.

bioinformatics↗

bioRxiv2020

Super-robust data storage in DNA by de Bruijn graph-based decoding

DNA data storage is a rapidly developing technology with great potential due to its high density, long-term durability, and low maintenance cost. The major technical challenges include various errors, such as the strand breaks, rearrangements, and indels that frequently arise during DNA synthesis, amplification, sequencing, and preservation. Through a de novo assembly strategy, we developed an algorithm based on the de Bruijn graph and greedy path search (DBGPS) to address these issues. DBGPS shows distinct advantages in handling DNA breaks, rearrangements, and indels. The robustness of DBGPS is demonstrated by accelerated aging, multiple independent data retrievals, deep error-prone PCR, and large data scale simulations. Remarkably, 6.8 MB of data can be retrieved accurately from a seriously corrupted sample that has been treated at 70 {degrees}C for 70 days. With DBGPS, we were able to achieve a logical density of 1.30 bits/cycle and a physical density of 295 PB/g. One-Sentence SummaryA de Bruijn graph-based de novo assembly algorithm for DNA data storage enables fast and robust data readouts even with DNA samples that have been severely corrupted.

bioinformatics↗

bioRxiv2020

Guidelines for accurate genotyping of SARS-CoV-2 using amplicon-based sequencing of clinical samples

BackgroundSARS-CoV-2 genotyping has been instrumental to monitor virus evolution and transmission during the pandemic. The reliability of the information extracted from the genotyping efforts depends on a number of aspects, including the quality of the input material, applied technology and potential laboratory-specific biases. These variables must be monitored to ensure genotype reliability. The current lack of guidelines for SARS-CoV-2 genotyping leads to inclusion of error-containing genome sequences in studies of viral spread and evolution. ResultsWe used clinical samples and synthetic viral genomes to evaluate the impact of experimental factors, including viral load and sequencing depth, on correct sequence determination using an amplicon-based approach. We found that at least 1000 viral genomes are necessary to confidently detect variants in the genome at frequencies of 10% or higher. The broad applicability of our recommendations was validated in >200 clinical samples from six independent laboratories. The genotypes of clinical isolates with viral load above the recommended threshold cluster by sampling location and period. Our analysis also supports the rise in frequency of 20A.EU1 and 20A.EU2, two recently reported European strains whose dissemination was favoured by travelling during the summer 2020. ConclusionsWe present much-needed recommendations for reliable determination of SARS-CoV-2 genome sequence and demonstrate their broad applicability in a large cohort of clinical samples.

genomics↗

bioRxiv2020

Collagen induced inflammations

Collagen-induced arthritis (CIA) mouse model is currently the most widely used and reliable autoimmune model to study rheumatoid arthritis. In this model, we used bovine type II collagen (CII) and complete Freunds adjuvant (CFA) or incomplete Freunds adjuvant (IFA) to form emulsifier, and mice were injected intradermal to induce autoimmune arthritis (CIA). In this model, we ground bovine collagen type II (CII) with complete Freunds adjuvant (CFA) or incomplete Freunds adjuvant (IFA) to form emulsifiers, and intradermal injection in mice induced autoimmune arthritis (CIA). This article describes the mouse, CFA strains, key emulsification, anesthesia, and injection immune techniques, as well as the incidence, date of onset, score, pathological results of arthritis. The total time for preparation of reagents and immunization of 20 mice was about 2-2.5 hours. In this protocol, we induced a high incidence of CIA with DBA/1J in genetically susceptible mice and assessed the severity and pathology of the disease, at the same time we found that CII also can induced enteritis, including ileitis and colitis. The initial symptoms of arthritis appear in the 24-26 days of the experiment, that is, 3-5 days after the second immunization, the peak period of inflammation was 30-36 days, the arthritis incidence about 90-100%, at the same time, the incidence of enteritis and arthritis were the same, small intestinal inflammation was more severe, but the duration was short; while the colonic inflammation was mild, and the duration was longer than enteritis, we named it collagen induced inflammations (CIIs).

immunology↗

bioRxiv2020

Epstein-Barr virus promotes survival through germinal center light zone chromatin architecture

BFL-1 is an understudied anti-apoptotic protein upregulated in cancer and Epstein-Barr virus (EBV)-immortalized lymphoblastoid cell lines (LCLs). We have previously shown that BFL-1 is regulated through viral EBNA3A-mediated alterations in B-cell chromatin conformation (Price et al., 2017). Here, we extend those findings to define cis- and trans-acting factors that regulate BFL-1 in LCLs and reliance on BFL-1 for survival from extrinsic apoptosis. Beyond LCLs, BFL-1 is expressed in B cells maturing in the germinal center (GC). We therefore characterized the gene expression profiles and chromatin landscape of maturing human tonsillar B-cell subsets. While chromatin accessibility at the BFL-1 locus increases as naive B cells enter the GC reaction, BFL-1 expression increases during the transition from dark zone to light zone (LZ) correlating with association between enhancer regions and the transcriptional start site. The relationship between LCLs and LZ B cells suggests that EBV phenocopies GC biology to enhance their survival in establishing latent infection.

immunology↗

bioRxiv2020

A novel viral protein translation mechanism reveals mitochondria as a target for antiviral drug development

The ongoing Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2) pandemic has acutely highlighted the need to identify new treatment strategies for viral infections. Here we present a pivotal molecular mechanism of viral protein translation that relies on the mitochondrial translation machinery. We found that rare codons such as Leu-TTA are highly enriched in many viruses, including SARS-CoV-2, and these codons are essential for the regulation of viral protein expression. SARS-CoV-2 controls the translation of its spike gene by hijacking host mitochondria through 5 leader and 3UTR sequences that contain mitochondrial localization signals and activate the EGR1 pathway. Mitochondrial-targeted drugs such as lonidamine and polydatin significantly repress rare codon-driven gene expression and viral replication. This study identifies an unreported viral protein translation mechanism and opens up a novel avenue for developing antiviral drugs. One Sentence SummaryMitochondria are a potential target for antiviral therapy

microbiology↗

bioRxiv2020

SARS-CoV-2 and Malayan pangolin coronavirus infect human endoderm, ectoderm and induced lung progenitor cells

Since the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in several somatic cells, little is known about the infection of SASRS-CoV-2 and its related pangolin coronavirus (GX_P2V). Here we present for the first time that SARS-CoV-2 pseudovirus and GX_P2V could infect lung progenitor and even anterior foregut endoderm cells causing these cells death, which differentiated from human embryonic stem cells (hESCs). The infection and replication of SARS-CoV-2 and GX_P2V were inhibited when treated with whey protein of breastmilk and Remdesivir, confirming that these two viruses could infect lung progenitor and even anterior foregut endoderm. Moreover, we found that SARS-CoV-2 pseudovirus could infect endoderm and ectoderm. We found that whey protein blocked SARS-CoV-2 infecting these cells. In line with the SARS-CoV-2 results, GX_P2V could also infected endoderm and ectoderm, and also was inhibited by Remdesivir treatment. Although expressing coronavirus related receptor such as ACE2 and TMPRSS2, mesoderm cells are not permissive for SARS-CoV-2 and GX_P2V infection, which needed further to study the mechanisms. Interestingly, we also found that hESCs, which also express ACE2 and TMPRSS2 markers, are permissive for GX_P2V but not SARS-CoV-2 pseudovirus infection and replication, indicating the widespread cell types for GX_P2V infection. Heparin treatment blocked efficiently viral infection. These results provided insight that these stem cells maybe provided a stable repository of coronavirus function or genome. The potential consequence of SARS-CoV-2 and animal coronavirus such as GX_P2V infection in hESCs, germ layer and induced progenitors should be closely monitored.

microbiology↗

bioRxiv2020

The Wnt effector TCF7l2 promotes oligodendroglial differentiation by repressing autocrine BMP4-mediated signaling

Promoting oligodendrocyte differentiation represents a promising option for remyelination therapy for treating the demyelinating disease multiple sclerosis (MS). The Wnt effector TCF7l2 was upregulated in MS lesions and had been proposed to inhibit oligodendrocyte differentiation. Recent data suggest the opposite yet underlying mechanisms remain elusive. Here we unravel a previously unappreciated function of TCF7l2 in controlling autocrine bone morphogenetic protein (BMP4)-mediated signaling. Disrupting TCF7l2 results in oligodendroglial-specific BMP4 upregulation and canonical BMP4 signaling activation in vivo. Mechanistically, TCF7l2 binds to Bmp4 gene regulatory element and directly represses its transcriptional activity. Functionally, enforced TCF7l2 expression promotes oligodendrocyte differentiation by reducing autocrine BMP4 secretion and dampening BMP4 signaling. Importantly, compound genetic disruption demonstrates that oligodendroglial-specific BMP4 deletion rescues arrested oligodendrocyte differentiation elicited by TCF7l2 disruption in vivo. Collectively, our study reveals a novel connection between TCF7l2 and BMP4 in oligodendroglial lineage and provides new insights into augmenting TCF7l2 for promoting remyelination in demyelinating disorders such as MS. Significance StatementIncomplete or failed myelin repairs, primarily resulting from the arrested differentiation of myelin-forming oligodendrocytes from oligodendroglial progenitor cells, is one of the major reasons for neurological progression in people affected by multiple sclerosis (MS). Using in vitro culture systems and in vivo animal models, this study unraveled a previously unrecognized autocrine regulation of BMP4-mediated signaling by the Wnt effector TCF7l2. We showed for the first time that TCF7l2 promotes oligodendroglial differentiation by repressing BMP4-mediated activity, which is dysregulated in MS lesions. Our study suggests that elevating TCF7l2 expression may be possible in overcoming arrested oligodendroglial differentiation as observed in MS patients.

neuroscience↗

bioRxiv2020

Fertility-LightGBM: A fertility-related protein prediction model by multi-information fusion and light gradient boosting machine

The identification of fertility-related proteins plays an essential part in understanding the embryogenesis of germ cell development. Since the traditional experimental methods are expensive and time-consuming to identify fertility-related proteins, the purposes of predicting protein functions from amino acid sequences appeared. In this paper, we propose a fertility-related protein prediction model. Firstly, the model combines protein physicochemical property information, evolutionary information and sequence information to construct the initial feature space ALL. Then, the least absolute shrinkage and selection operator (LASSO) is used to remove redundant features. Finally, light gradient boosting machine (LightGBM) is used as a classifier to predict. The 5-fold cross-validation accuracy of the training dataset is 88.5%, and the independent accuracy of the training dataset is 91.5%. The results show that our model is more competitive for the prediction of fertility-related proteins, which is helpful for the study of fertility diseases and related drug targets.

bioinformatics↗

bioRxiv2020

Dicer1 promotes Aβ clearance via blocking B2 RNA-mediated repression of apolipoprotein E

Metabolism of {beta}-amyloid is critical for healthy brain. Decreased clearance of {beta}-amyloid is associated with ensued accumulation of amyloid peptide, culminating in formation of senile plaques, a neuropathological hallmark of Alzheimers disease(AD). Apolipoprotein E (APOE), a lipoprotein for phospholipid and cholesterol metabolism, is predominantly synthesized by glia in the central nervous system, controlling A{beta} aggregation and metabolism. By use of stereotactic injection and a Morris water maze, we found that delivery of Dicer1-expressing adenovirus into the hippocampus of an animal model of AD mice APPswe/PSEN1deltaE9 significantly improved spatial memory. The effect was associated with reduced amyloid peptides in the hippocampus which were analyzed with immunofluorescence and enzyme-linked immunosorbent assay. With western blot, quantitative real-time PCR, fluorescence in situ hybridization, and northern blot, Dicer1 overexpression increased apolipoprotein E (APOE) and concomitantly decreased B2 RNA in the hippocampus of the AD mice and in astrocyte cultures whereas transfection of B2 Mm2 RNA decreased APOE mRNA and protein levels in astrocyte cultures. Further, human or mouse APOE mRNA was found containing Alu RNA or its equivalent, B2 Mm2 RNA, locating downstream of its 3-untranslated region (UTR), respectively. The 3-UTR or 3-UTR in conjunction with the downstream Alu/B2 RNA were cloned into a luciferase reporter; with dual-luciferase assay, we found that simultaneous transfection of Dicer1 siRNA or Alu/B2 RNA decreased the corresponding luciferase activities which suggest that Alu RNA mediated APOE mRNA degradation. Altogether, Dicer1 expression mediated amyloid peptide clearance by increasing APOE via blocking B2 RNA-mediated APOE mRNA degradation.

neuroscience↗

bioRxiv2020

Efferent feedback enforces bilateral coupling of spontaneous activity in the developing auditory system

In the developing auditory system, spontaneous activity generated in the cochleae propagates into the central nervous system to promote circuit formation before hearing onset. Effects of the evolving peripheral firing pattern on spontaneous activity in the central auditory system are not well understood. Here, we describe the wide-spread bilateral coupling of spontaneous activity that coincides with the period of transient efferent modulation of inner hair cells from the medial olivochlear (MOC) system. Knocking out the 9/10 nicotinic acetylcholine receptor, a requisite part of the efferent cholinergic pathway, abolishes these bilateral correlations. Pharmacological and chemogenetic experiments confirm that the MOC system is necessary and sufficient to produce the bilateral coupling. Moreover, auditory sensitivity at hearing onset is reduced in the absence of pre-hearing efferent modulation. Together, our results demonstrate how ascending and descending pathways collectively shape spontaneous activity patterns in the auditory system and reveal the essential role of the MOC efferent system in linking otherwise independent streams of bilateral spontaneous activity during the prehearing period.

neuroscience↗

bioRxiv2020

Neonatal LPS exposure results in ATP8A2 down-regulation in the prefrontal cortex and depressive-like behaviors in mice through increasing IFN-γ level

Neonatal lipopolysaccharide (LPS) exposure can cause depressive-like behaviors in rodents involving elevated interferon (IFN)-{gamma}. Studies have linked down-regulation of prefrontal cortex (PFC) ATPase phospholipid transporting 8A2(ATP8A2) expression to depressive-like behaviors. In non-neuronal cells, IFN-{gamma} could reduce ATP8A2 expression. We therefore hypothesized that neonatal LPS exposure might induce PFC ATP8A2 down-regulation by increasing IFN-{gamma} level. Here, C57BL6/J mice of both sexes received 3-dose-injections of LPS (50g/kg bodyweight, i.p.) on postnatal day (PND)5, PND7 and PND9. LPS-treated mice showed a transiently decreased PFC ATP8A2 expression. Moreover, a negative correlation of PFC ATP8A2 expression was found with IFN-{gamma} level. Using neutralizing mAb, IFN-{gamma} was identified as the key mediator of LPS-induced PFC ATP8A2 decrease. Besides, neutralizing IFN-{gamma} during neonatal LPS exposure attenuated the depressive-like behaviors in adulthood. In sum, neonatal LPS exposure reduced ATP8A2 level in PFC in mice via increasing IFN-{gamma} level, maybe associated with mechanism underlying LPS-induced brain and behavior impairments.

neuroscience↗

bioRxiv2020

Varying intestinal absorption curves of glucose and fat with different plasma insulin curves in different positions

It has been shown that posture could affect the rehabilitation of some diseases, and even affect the physiological metabolism and function of certain systems of the human body, including gastrointestinal absorption of glucose. Studies attributed the different gastrointestinal absorption rate in different positions to the varying rate of gastric emptying in different positions. However, it is still unknown whether the absorption rate of nutrients from the intestine varies in different positions. To verify this hypothesis, the present study was conducted using rats as subjects. After injection of glucose or chyme of safflower oil into the upper segment of jejunum of rats, curves of plasma glucose or triglyceride were drawed to evaluate and compare the potential influences on intestinal absorption by postures. We found varying intestinal absorption curves of glucose and fat with different plasma insulin curves in different positions. To be specific, the right lateral decubitus resulted in the most sharp curves, whereas the supine position the most obtuse curves with a delayed peak, both in case of glucose and fat absorption. These findings contribute to understand the position-related absorption kinetics of substances in the intestinal tract. According to this study, posture may be important for the prevention and nursing intervention of some diseases related to metabolic kinetics of glucose and lipids. It may also be important for the absorption and transport of lipophilic drugs through the mesentery lymphatic vessels.

physiology↗

bioRxiv2020

DLDTI: A learning-based framework for identification of drug-target interaction using neural networks and network representation

To elucidate novel molecular mechanisms of known drugs, efficient and feasible computational methods for predicting potential drug-target interactions (DTI) would be of great importance. A novel calculation model called DLDTI was generated for predicting DTI based on network representation learning and convolutional neural networks. The proposed approach simultaneously fuses the topology of complex networks and diverse information from heterogeneous data sources and copes with the noisy, incomplete, and high-dimensional nature of large-scale biological data by learning low-dimensional and rich depth features of drugs and proteins. Low-dimensional feature vectors were used to train DLDTI to obtain optimal mapping space and infer new DTIs by ranking DTI candidates based on their proximity to optimal mapping space. DLDTI achieves promising performance under 5-fold cross-validation with AUC values of 0.9172, which was higher than that of the method based on different classifiers or different feature combination technique. Moreover, biomedical experiments were also completed to validate DLDTIs performance. Consistent with the predicted result, tetramethylpyrazine, a member of pyrazines, reduced atherosclerosis progression and inhibited signal transduction in platelets, via PI3K/Akt, cAMP and calcium signaling pathways. The source code and datasets explored in this work are available at https://github.com/CUMTzackGit/DLDTI

bioinformatics↗