Biology subjects

Li, P.

Publications and source records attributed to Li, P..

At least 307 records · Page 17Linked to original sources

bioRxiv2020

Plastid EF-Tu Regulates Root Development through Both the ATM Pathway and GUN1

Impaired plastid translation affects various aspects of plant development, but the molecular mechanism remains elusive. Here, we described that the reduced function of plastid translation elongation factor EF-Tu encoded by RAB GTPASE HOMOLOG 8D (Rab8d) elicits defects in root development, including the reduced meristem size, programmed cell death (PCD) in the stem cell niche (SCN), and quiescent center (QC) division. We found that the ATAXIA-TELANGIECTASIA-MUTATED (ATM)-SUPPRESSOR OF GAMMA RESPONSE 1 module mediated overexpression of SIAMSE-RELATED 5 in the root meristem region is responsible for the reduced meristem size in the rab8d mutant through arresting the cell cycle. The QC activation in rab8d is dependent on ETHYLENE RESPONSE FACTOR 115, which expression is tightly associated with the PCD in SCN. We further found that Rab8d physically interacts with GENOME UNCOUPLED 1 (GUN1), and GUN1 is required for inducing PCD in the rab8d SCN. However, the loss of GUN1 function in rab8d severely impairs the root architecture, suggesting that the GUN1-mediated renewal of stem cells is essential for maintaining root growth. Our observations extend our knowledge on the roles of ATM and GUN1 in regulating root development through mediating plastid translation dependent signals. One-sentence summaryThe rab8d-dependent plastid signal mediated by ATM and GUN1 regulates the root meristem size and renewal of root stem cells, respectively.

plant biology↗

bioRxiv2020

Analysis of metagenome-assembled genomes from the mouse gut microbiota reveals distinctive strain-level characteristics

The laboratorial mouse harbors a unique gut microbiota with potential value for human microbiota-associated studies. Mouse gut microbiota has been explored at the genus and species levels, but features rarely been showed at the strain level. The identification of 833,051 and 658,438 nonredundant genes of faeces and gut content samples from the laboratorial C57/BL mice showed over half of these genes were newly found compared to the previous mouse gut microbial gene catalogue. Metagenome-assembled genomes (MAGs) was used to reconstruct 46 nonredundant MAGs belonging to uncultured specieses. These MAGs included members across all phyla in mouse gut (i.e. Firmicutes, Bacteroidetes, Proteobacteria, Deferribacteres, Verrucomicrobia, and Tenericutes) and allowed a strain-level delineating of the mouse gut microbiota. Comparison of MAGs with human gut colonies revealed distinctive genomic and functional characteristics of mouses Bacteroidetes and Firmicutes strains. Genomic characteristics of rare phyla in mouse gut microbiota were demonstrated by MAG approach, including strains of Mucispirillum schaedleri, Parasutterella excrementihominis, Helicobacter typhlonius, and Akkermansia muciniphila. ImportanceThe identification of nonredundant genes suggested the existence of unknown microbes in the mouse gut samples. The metagenome-assembled genomes (MAGs) instantiated the specificity of mouse gut species and revealed an intestinal microbial correlation between mouse and human. The cultivation of faeces and gut contents sample validated the existence of MAGs and estimate their accuracy. Full-length 16S ribosomal RNA gene sequencing enabled taxonomic characterization. This study highlighted a unique ecosystem in the gut of laboratorial mice that obviously differed with the human gut flora at the strain level. The outcomes may be beneficial to researches based on laboratorial mouse models.

microbiology↗

bioRxiv2020

A variant in SMOC2, inhibiting BMP signaling by competitively binding to BMPR1B, causes multiple epiphyseal dysplasia

Previously study showed that SMOC, a matricellular protein, inhibits BMP signaling downstream of its receptor via activation of mitogen-activated protein kinase (MAPK) signaling. In our study, exome sequencing revealed a missense mutation (c.1076T>G, p.Leu359Arg) in EC domain of SMOC2 in a Chinese family with multiple epiphyseal disease (MED). The pathogenicity of this SMOC2 variant was verified by Smoc2L359R/L359R knock-in mice. Of note, decreasing phosphorylation of SMAD1/5/9 was detected in growth plates and primary chondrocytes from Smoc2L359R/L359R mice. Furthermore, binding affinity of mutant SMOC2 with collagen IX and HSPG in the extracellular matrix of cartilage were reduced while binding affinity with BMPRIB was intact. In addition, in contrast to previously results, that SMOC2 cannot antagonize BMP activity in the presence of a constitutively activated BMP receptor. These results support that SMOC2 with p.Leu359Arg variant act as an antagonist of canonical BMP pathway by competitively binding with BMP receptors.

genomics↗

bioRxiv2020

Opposing neural signals of CaV1-encoded peptides are tuned by C-terminus mediated inhibition

L-type calcium (CaV1) channels regulate gene expressions via the cascade of excitation-transcription coupling, or directly as standalone CCAT (Calcium Channel Associated Transcriptional-regulator) peptides encoding distal carboxyl-terminus (DCT) of CaV1, both evidenced in dendritogenesis signaling in neurons. We here discover that DCT peptides opposedly mediate these two sets of transcription signals, all tunable in accordance to C-terminus mediated inhibition (CMI) of Ca2+/CaV1 influx. By electrophysiology, neurite morphology, and FRET 2-hybrid binding analyses, we systematically examined native and derived DCT peptides across CaV1, unveiling that the overall balance between cytosolic inhibition versus nuclear facilitation is spatially and temporally tuned by CMI of each DCT variant. Our findings not only resolve several controversies existing to DCT variants, but also propose a de novo scheme of CaV1-centric gene regulation: two concurrent routes of transcription signals initiated from either membrane CaV1 channels or nuclear CaV1-encoded peptides are subject to autonomous feedback tuning by peptide/channel interactions.

neuroscience↗

bioRxiv2020

Characterization of a novel NDM-5-harboring plasmid from a carbapenem-resistant Escherichia coli isolate from China

A carbapenem-resistant Escherichia coli (sequence type 5415) strain was isolated from a male patient. S1-PFGE and Southern blotting showed that the blaNDM-5 gene was located on a novel 66-kb IncFII [F2:A-:B-] plasmid. Conjugation assays revealed that the blaNDM-5-bearing plasmid was self-transferrable. Genomic sequencing and comparative analysis suggested that plasmid p2947-NDM5 likely originated from a combination of an IncFII-type backbone and the blaNDM-5 flanking genetic elements. This study highlights the genetic complexity of an NDM-5 carbapenemase and the urgent need for continuous active monitoring. IMPORTANCECarbapenem resistance due to the NDM enzyme has become a serious clinical problem in medical care and public health. We here identified a blaNDM-5-positive E. coli strain ST5414. The blaNDM-5 gene was located on a novel self-transferrable IncFII type plasmid p2947-NDM5. Genomic sequencing and comparative analysis suggested that plasmid p2947-NDM5 likely originated from a combination of an IncFII-type backbone and the blaNDM-5 flanking genetic elements. The genetic context of NDM-5 is highly similar to that of animal origins, and we speculate that the blaNDM-harboring IncFII plasmid has a potential risk of being transmitted from animals to humans and should be paid more attention. Our findings highlight the threat of NDM-5 carbapenemase circulation and the urgency of stringent surveillance and control measures.

genomics↗

bioRxiv2020

Interleukin-35 pretreatment attenuates lipopolysaccharide-induced heart injury by inhibition of inflammation, apoptosis and fibrosis

Previous studies have demonstrated that targeting inflammation is a promising strategy for treating lipopolysaccharide (LPS)-induced sepsis and related heart injury. Interleukin-35 (IL-35), which consists of two subunits, Epstein-Barr virus-induced gene 3 (EBI3) and p35, is an immunosuppressive cytokine of the IL-12 family and exhibits strong anti-inflammatory activity. However, the role of IL-35 in LPS-induced heart injury remains obscure. In this study, we explored the role of IL-35 in heart injury induced by LPS and its potential mechanisms. Mice were treated with a plasmid encoding IL-35 (pIL-35) and then injected intraperitoneally (ip) with LPS (10 mg/kg). Cardiac function was assessed by echocardiography 12 h later. LPS apparently decreased the expression of EBI3 and p35 and caused cardiac dysfunction and pathological changes, which were significantly improved by pIL-35 pretreatment. Moreover, pIL-35 pretreatment significantly decreased the levels of cardiac proinflammatory cytokines including TNF-, IL-6, and IL-1{beta}, and the NLRP3 inflammasome. Furthermore, increased BCL-2 levels and decreased BAX levels inhibited apoptosis, and LPS-induced upregulation of the expression of pro-fibrotic genes (MMP2 and MMP9) was inhibited. Further investigation indicated that pIL-35 pretreatment suppressed the activation of the cardiac NF-{kappa}Bp65 and TGF-{beta}1/Smad2/3 signaling pathways in LPS-treated mice. Similar cardioprotective effects of IL-35 pretreatment were observed in mouse myocardial fibroblasts challenged with LPS in vitro. In summary, IL-35 pretreatment can attenuate cardiac inflammation, apoptosis, and fibrosis induced by LPS, implicating IL-35 as a promising therapeutic target in sepsis-related cardiac injury.

molecular biology↗

bioRxiv2020

Compartmentalization of enhanced biomolecular interactions for high-throughput drug screening in test tubes

Modification-dependent and -independent biomolecular interactions (BIs), including protein-protein, protein-DNA/RNA and protein-lipid, play crucial roles in all cellular processes. Dysregulation of BIs or malfunction of the associated enzymes results in various diseases, thus they are attractive targets for therapies. High-throughput screening (HTS) can greatly facilitate the discovery of drugs for these targets. Here we describe a HTS drug discovery method, called compartmentalization of enhanced biomolecular interactions in test tubes (CEBIT). CEBIT uses selective recruitment of biomolecules into phase separated compartments harboring their cognate binding partners as readouts. CEBIT were tailored to detect various BIs and associated modifying enzymes. Using CEBIT-based HTS assays, we successfully identified known inhibitors of the p53/MDM2 interaction and of SUV39H1 from a compound library. CEBIT is simple and versatile, and is likely to become a powerful tool for drug discovery and basic biomedical research.

biophysics↗

bioRxiv2020

Decoding the regulatory architecture of the maize leaf

The transcription regulatory network underlying essential and complex functionalities inside a eukaryotic cell is defined by the combinatorial actions of transcription factors (TFs). However, TF binding studies in plants are too few in number to produce a general picture of this complex regulatory netowrk. Here, we used ChIP-seq to determine the binding profiles of 104 TF expressed in the maize leaf. With this large dataset, we could reconstruct a transcription regulatory network that covers over 77% of the expressed genes, and reveal its scale-free topology and functional modularity like a real-world network. We found that TF binding occurs in clusters covering [~]2% of the genome, and shows enrichment for sequence variations associated with eQTLs and GWAS hits of complex agronomic traits. Machine-learning analyses were used to identify TF sequence preferences, and showed that co-binding is key for TF specificity. The trained models were used to predict and compare the regulatory networks in other species and showed that the core network is evolutionarily conserved. This study provided an extensive description of the architecture, organizing principle and evolution of the transcription regulatory network inside the plant leaf.

molecular biology↗

bioRxiv2020

Multilevel integrative transcriptome analyses in humans and humanized mice define in vivo human lncRNA metabolic regulators

A growing number of long non-coding RNAs (lncRNAs) have emerged as vital metabolic regulators in research animals suggesting that lncRNAs could also play an important role in human metabolism. However, most human lncRNAs are non-conserved, vastly limiting our ability to identify human lncRNA metabolic regulators (hLMRs). As the sequence-function relation of lncRNAs has yet to be established, the identification of lncRNA metabolic regulators in animals often relies on their regulations by experimental metabolic conditions. But it is very challenging to apply this strategy to human lncRNAs because well-controlled human data are much limited in scope and often confounded by genetic heterogeneity. In this study, we establish an efficient pipeline to identify putative hLMRs that are metabolically sensitive, disease-relevant, and population applicable. We first progressively processed human transcriptome data to select human liver lncRNAs that exhibit highly dynamic expression in the general population, show differential expression in a metabolic disease population, and response to dietary intervention in a small disease cohort. We then experimentally demonstrated the responsiveness of selected hepatic lncRNAs to defined metabolic milieus in a liver-specific humanized mouse model. Furthermore, by extracting a concise list of protein-coding genes that are persistently correlated with lncRNAs in general and metabolic disease populations, we predicted the specific function for each hLMR. Using gain- and loss-of-function approaches in humanized mice as well as ectopic expression in conventional mice, we were able to validate the regulatory role of one non-conserved hLMR in cholesterol metabolism. Mechanistically, this hLMR binds to an RNA-binding protein, PTBP1, to modulate the transcription of cholesterol synthesis genes. In summary, our study provides a pipeline to overcome the variabilities intrinsic to human data to enable the efficient identification and functional definition of hLMRs. The combination of this bioinformatic framework and humanized murine model will enable broader systematic investigation of the physiological role of disease-relevant human lncRNAs in metabolic homeostasis.

physiology↗

bioRxiv2019

The dynamic transmission of positional information in stau- mutants during Drosophila embryogenesis

Intriguingly, the developmental patterning during Drosophila embryogenesis is highly accurate and robust despite its dynamic changes and constant fluctuations. It has been suggested that Staufen (Stau) is key in controlling the boundary variability of the gap protein Hunchback (Hb). However, its underlying mechanism is still elusive. Here, we have developed methods to quantify the dynamic 3D expression of segmentation genes in Drosophila embryos. With improved control of measurement errors, our results reveal that the posterior boundary of the Hb anterior domain (xHb) of stau- mutants shows comparable variability to that of the wild type (WT) and shifts posteriorly by nearly 12% of the embryo length (EL) to the WT position in the nuclear cycle (nc) 14. This observed large shift might contribute significantly to the apparent large variability of xHb in previous studies. Moreover, for stau- mutants, the upstream Bicoid (Bcd) gradients show equivalent gradient noise to that of the WT in nc12-nc14, and the downstream Even-skipped (Eve) and cephalic furrow (CF) show the same positional errors as the WT. Our results indicate that threshold-dependent activation and self-organized filtering are not mutually exclusive but could both be implemented in early Drosophila embryogenesis.

developmental biology↗

bioRxiv2019

Phase separation-aided compartmentalization of protein-protein interactions in cells

Protein-protein interactions (PPIs) are of great significance in many biological activities and diseases. It is essential to distinguish between direct, indirect and false PPIs in order to accurately understand their biological functions. Here we report a method based on phase separation-aided compartmentalization of protein-protein interactions in cells (PACPIC), which is tailored for identification of direct and indirect PPIs in cells, using recruitment as the readout.

cell biology↗

bioRxiv2019

TRIM14 is a key regulator of the type I interferon response during Mycobacterium tuberculosis infection

Tripartite motif-containing proteins (TRIMs) play a variety of recently described roles in innate immunity. While many TRIMs regulate type I interferon (IFN) expression following cytosolic nucleic acid sensing of viruses, their contribution to innate immune signaling and gene expression during bacterial infection remains largely unknown. Because Mycobacterium tuberculosis is a potent activator of cGAS-dependent cytosolic DNA sensing, we set out to investigate a role for TRIM proteins in regulating macrophage responses to M. tuberculosis. Here we demonstrate that TRIM14, a non-canonical TRIM that lacks an E3 ligase RING domain, is a critical negative regulator of the type I IFN response in macrophages. We show that TRIM14 physically interacts with both cGAS and TBK1 and that macrophages lacking TRIM14 dramatically hyperinduce interferon stimulated gene (ISG) expression following cytosolic nucleic acid transfection, IFN-{beta} treatment, and M. tuberculosis infection. Consistent with a defect in resolution of the type I IFN response, Trim14 knockout (KO) macrophages have more phospho-Ser754 STAT3 relative to phospho-727 and fail to upregulate the STAT3 target Socs3 (Suppressor of Cytokine Signaling 3), which is required to turn off IFNAR signaling. These data support a model whereby TRIM14 acts as a scaffold between TBK1 and STAT3 to promote phosphorylation of STAT3 at Ser727 and enhance negative regulation of ISG expression. Remarkably, Trim14 KO macrophages hyperinduce antimicrobials like Inos2 and are significantly better than control cells at limiting M. tuberculosis replication. Collectively, these data reveal a previously unappreciated role for TRIM14 in resolving type I IFN responses and controlling M. tuberculosis infection.

immunology↗

bioRxiv2019

Phylogeography of two Andean frogs: Test of vicariance versus elevational gradient models of diversification

The tropical and subtropical Andes have among the highest levels of biodiversity in the world. Understanding the forces that underlie speciation and diversification in the Andes is a major focus of research. Here we tested two hypotheses of species origins in the Andes: 1. Vicariance mediated by orogenesis or shifting habitat distribution. 2. Parapatric diversification along elevational environmental gradients. We also sought insights on the factors that impacted the phylogeography of co-distributed taxa, and the influences of divergent species ecology on population genetic structure. We used phylogeographic and coalescent analyses of nuclear and mitochondrial DNA sequence data to compare genetic diversity and evolutionary history of two frog species: Pleurodema borellii (Family: Leiuperidae, 130 individuals; 20 sites), and Hypsiboas riojanus (Family: Hyllidae, 258 individuals; 23 sites) across their shared range in northwestern Argentina. The two showed concordant phylogeographic structuring, and our analyses support the vicariance model over the elevational gradient model. However, Pleurodema borellii exhibited markedly deeper temporal divergence ([≥]4 Ma) than H. riojanus (1-2 Ma). The three main mtDNA lineages of P. borellii were nearly allopatric and diverged between 4-10 Ma. At similar spatial scales, differentiation was less in the putatively more habitat-specialized H. riojanus than in the more generalist P. borellii. Similar allopatric distributions of major lineages for both species implies common causes of historical range fragmentation and vicariance. However, different divergence times among clades presumably reflect different demographic histories, permeability of different historical barriers at different times, and/or difference in life history attributes and sensitivities to historical environmental change. Our research enriches our understanding of the phylogeography of the Andes in northwestern Argentina.

evolutionary biology↗

bioRxiv2019

Epigenetic contributions to hemisphere asymmetry in healthy brain, aging, and Parkinson’s disease

Hemispheric asymmetry in neuronal processes is a fundamental feature of the human brain and drives symptom lateralization in Parkinsons disease (PD), but its molecular determinants are unknown. Here, we determine epigenetic differences involved in hemispheric asymmetry in the healthy and the PD brain. Neurons of the healthy brain exhibit numerous hemispheric differences in DNA methylation, which affect genes implicated in neurodegenerative diseases. In PD patients, hemispheric asymmetry in DNA methylation is even greater and involves many PD risk genes. The lateralization of clinical PD symptoms involves epigenetic, transcriptional, and proteomic differences across hemispheres that affect neurodevelopment, immune activation, and synaptic transmission. During aging, healthy neurons show a progressive loss of hemispheric asymmetry in the epigenome, which is amplified in PD. For PD patients, a long disease course is associated with greater hemispheric asymmetry in neuronal epigenomes than a short disease course. Hemispheric differences in epigenetic gene regulation are prevalent in neurons and may affect the progression and symptoms of PD.

neuroscience↗

bioRxiv2019

Genome-wide quantitative trait loci mapping on Verticilliumw

Cotton Verticillium wilt (VW) is a devastating disease seriously affecting fiber yield and quality, and the most effective and economical prevention measure at present is selection and extension of Gossypium varieties harboring high resistant VW. However, multiple attempts to improve the VW resistance of the most widely cultivated Upland cotton have brought in little significant progress, and it seems necessary and urgent to develop Chromosome segment substitution lines (CSSLs) for merging the superior genes related with high yield and wide adaptation from G. hirsutum and VW resistance and excellent fiber quality from G. barbadense. In this study, 300 CSSLs were chosen from the developed BC5F3:5 CSSLs constructed by G. hirsutum CCRI36 and G. barbadense Hai1 to conduct quantitative trait locus (QTL) mapping on VW resistance, and a total of 53 QTLs relevant to VW disease index (DI) were identified together with the phenotypic data of 2 years investigations in two fields with two replications per year. All the QTLs were distributed on 20 chromosomes with phenotypic variation of 3.74-11.89%, of which 29 stable ones were consistent in at least two environments. Based on Meta-analysis on the 53 QTLs, 43 novel ones were identified, while 10 ones consistent to previously identified QTLs. Meanwhile, 32 QTL hotspot regions were detected, including 15 ones were novel. This study concentrates on QTL identification and screening hotspot region related with VW in the 300 CSSLs, which lay a solid platform not only for revealing the genetic and molecular mechanisms of VW resistance, but also for further fine mapping, gene cloning and molecular designing in breeding program for resistant cotton varieties.

plant biology↗

bioRxiv2019

Dissecting psa locus regulation in Yersinia pestis

The pH 6 antigen of Yersinia pestis is a virulence factor that is expressed in response to high temperature (37 {degrees}C) and low pH (6.0). Previous studies have implicated the PsaE and PsaF regulators in the temperature- and pH-dependent regulation of psaA. Here, we show that PsaE levels are themselves controlled by pH and temperature, explaining the regulation of psaA. We identify hundreds of binding sites for PsaE across the Y. pestis genome, with the majority of binding sites located in intergenic regions. However, we detect direct regulation of very few genes by PsaE, suggesting either that most binding sites are non-regulatory, or that they require additional environmental cues. We also identify the precise binding site for PsaE that is required for temperature- and pH-dependent regulation of psaA. Thus, our data reveal the critical function that PsaE plays in regulation of psaA, and suggest that PsaE may have many additional regulatory targets.

microbiology↗

bioRxiv2019

Epigenomic analysis of Parkinson’s disease neurons identifies Tet2 loss as neuroprotective

PD pathogenesis may involve the epigenetic control of enhancers that modify neuronal functions. Here, we comprehensively profile DNA methylation at enhancers, genome-wide, in neurons of 57 PD patients and 48 control individuals. We found a widespread increase in cytosine modifications at enhancers in PD neurons, which is partly explained by elevated hydroxymethylation levels. Epigenetic dysregulation of enhancers in PD converge on transcriptional abnormalities affecting neuronal signaling and immune activation pathways. In particular, PD patients exhibit an epigenetic and transcriptional upregulation of TET2, a master-regulator of cytosine modification status. TET2 inactivation in a neuronal cell line results in cytosine modification changes that are reciprocal to those observed in PD neurons. Furthermore, Tet2 inactivation in mice fully prevents dopaminergic neuronal loss in the substantia nigra induced by prior inflammation. Tet2 loss in mice also attenuates transcriptional immune responses to an inflammatory trigger. Thus, widespread epigenetic dysregulation of enhancers in PD neurons may, in part, be mediated by increased TET2 expression. Decreased Tet2 activity is neuroprotective, in vivo, and may be a novel therapeutic target for PD.

neuroscience↗

bioRxiv2019

TRANSCUP: a scalable workflow for predicting cancer of unknown primary based on next-generation transcriptome profiling

SummaryCancer of unknown primary site (CUP) accounts for 5% of all cancer diagnoses. These patients may benefit from more precise treatment when primary cancer site was identified. Advances in high-throughput sequencing have enabled cost-effective sequencing the transcriptome for clinical application. Here, we present a free, scalable and extendable software for CUP predication called TRANSCUP, which enables (1) raw data processing, (2) read mapping, (3) quality re-port, (4) gene expression quantification, (5) random forest machine learning model building for cancer type classification. TRANSCUP achieved high accuracy, sensitivity and specificity for tumor type classification based on external RNA-seq datasets. It has potential for broad clinical application for solving the CUP problem.\n\nAvailabilityTRANSCUP is open-source and freely available at https://github.com/plsysu/TRANSCUP\n\nContactpeng-li@outlook.com

bioinformatics↗