Biology subjects

Cai, Z.

Publications and source records attributed to Cai, Z..

At least 127 records · Page 7Linked to original sources

bioRxiv2020

Expression analysis of photosynthesis-related genes in albino Artocarpus heterophyllus seedlings leaves

Albino Artocarpus heterophyllus Seedlings (AAS) were found in the preliminary investigation by our group and were used as materials for researching. The phenotype of AAS leaves were observed and measured. In parallel, the photosynthetic physiological parameters were determined under different photosynthetically active radiations (PAR). The results suggested that the length, width, area and thickness of AAS leaves were less than normal seedings. Likewise, the net photosynthetic rate, intercellular CO2 concentration, stomatal conductance and transpiration rate of AAS leaves were not susceptible to PAR in contrast to normal individuals. Furthermore, the transcriptome sequencing technology was performed to clarify the expression of genes related to photosynthesis. It is as expected that numerous down-regulated genes were found in the synthesis of photosynthetic pigments, as well as the pathways of photosynthesis - antenna proteins, photoreaction and carbon fixation reaction of AAS leaves. Compared to other albino plants, AAS have a longer life span and more stable phenotypic traits with larger leaves, which could provide ideal materials for investigating photosynthesis of woody plants.

physiology↗

bioRxiv2020

Persistent bacterial coinfection of a COVID-19 patient caused by a genetically adapted Pseudomonas aeruginosa chronic colonizer

This study characterized a genetically adapted Pseudomonas aeruginosa small colony variant isolated from a COVID-19 patient who suffered persistent bacterial coinfection and eventually recovered from critical illness. Specification and modification of the isolates discovered at genomic and transcriptomic levels with aligned phenotypic observations indicated that these isolates formed excessive biofilm with elevated quorum sensing systems.

microbiology↗

bioRxiv2020

GsERF enhances aluminum tolerance through an ethylene-mediated pathway in Arabidopsis thaliana

The ethylene response factor (ERF) transcription factor is a subfamily of AP2/ERF superfamily in plants, which plays multiple roles in plant growth and development as well as stress response. In this study, we found that the GsERF gene from BW69 line of wild soybean held a constitutive expression pattern and induced by aluminum stress with more transcripts in soybean root. The putative GsERF protein containing an AP2 domain was in the nucleus and transactivation activity. In addition, the overexpression of the GsERF gene enhanced root relative length rate in Arabidopsis and shallow staining by hematoxylin under the treatments of AlCl3. The ethylene synthesis related genes such as ACS4, ACS5 and ACS6 are upregulated in the GsERF overexpressed plants than those in wild type plants under the treatment of AlCl3. Furthermore, expression levels of stress/ABA-responsive marker genes, including ABI1, ABI2, ABI4, ABI5, RD29B and RD22 in transgenic lines compared with those in wild type Arabidopsis were affected by AlCl3 treatments. Taken together, the results indicate that overexpression of GsERF may enhance aluminum tolerance through an ethylene-mediated pathway and/or ABA signaling pathway in Arabidopsis thaliana.View Full Text

molecular biology↗

bioRxiv2020

In vivo CRISPR screening identifies Fli1 as a transcriptional safeguard that restrains effector CD8 T cell differentiation during infection and cancer

Improving effector activity of antigen specific T cells is a major goal in cancer immunotherapy. Despite the identification of several effector T cell (TEFF)-driving transcription factors (TF), the transcriptional coordination of TEFF biology remains poorly understood. We developed an in vivo T cell CRISPR screening platform and identified a novel mechanism restraining TEFF biology through the ETS family TF, Fli1. Genetic deletion of Fli1 enhanced TEFF responses without compromising memory or exhaustion precursors. Fli1 restrained TEFF lineage differentiation by binding to cis-regulatory elements of effector-associated genes. Loss of Fli1 increased chromatin accessibility at ETS:RUNX motifs allowing more efficient Runx3-driven TEFF biology. CD8 T cells lacking Fli1 provided substantially better protection against multiple infections and tumors. These data indicate that Fli1 safeguards the developing CD8 T cell transcriptional landscape from excessive ETS:RUNX-driven TEFF cell differentiation. Moreover, genetic deletion of Fli1 improves TEFF differentiation and protective immunity in infections and cancer.

immunology↗

bioRxiv2020

Small Molecule Targeting IRES Domain Inhibits Enterovirus 71 Replication via an Allosteric Mechanism that Stabilizes a Ternary Complex

We herein report an RNA-targeting antiviral small molecule that reduces replication of the human enterovirus 71 (EV71) via stabilization of an inhibitory small molecule-RNA-protein ternary complex. The EV71 virus poses serious threats to human health, particularly in regions of Southeast Asia, and no FDA approved drugs or vaccines are available. We first screened an RNA-biased small molecule library using a peptide-displacement assay to identify ligands for the stem loop II structure of the EV71 internal ribosomal entry site, which was previously shown to impact viral translation and replication. One ligand, DMA-135, decreased viral translation and replication in cell-based studies in a dose-dependent manner with no significant toxicity. Structural, biophysical, and biochemical characterization support an allosteric mechanism in which DMA-135 induces a conformational change in the RNA structure that stabilizes a ternary complex with the AUF1 protein that then represses translation. This mechanism was further supported by pull-down experiments in cell culture. These detailed studies establish enterovirus RNA structures as promising drug targets while revealing an approach and mechanism of action that should be broadly applicable to functional RNA targeting.

biochemistry↗

bioRxiv2020

TagSeqTools: a flexible and comprehensive analysis pipeline for NAD tagSeq data

NAD tagSeq has recently been developed for the identification and characterization of NAD+-capped RNAs (NAD-RNAs). This method adopts a strategy of chemo-enzymatic reactions to label the NAD-RNAs with a synthetic RNA tag before subjecting to the Oxford Nanopore direct RNA sequencing. A computational tool designed for analyzing the sequencing data of tagged RNA will facilitate the broader application of this method. Hence, we introduce TagSeqTools as a flexible, general pipeline for the identification and quantification of tagged RNAs (i.e., NAD+-capped RNAs) using long-read transcriptome sequencing data generated by NAD tagSeq method. TagSeqTools comprises two major modules, TagSeek for differentiating tagged and untagged reads, and TagSeqQuant for the quantitative and further characterization analysis of genes and isoforms. Besides, the pipeline also integrates some advanced functions to identify antisense or splicing, and supports the data reformation for visualization. Therefore, TagSeqTools provides a convenient and comprehensive workflow for researchers to analyze the data produced by the NAD tagSeq method or other tagging-based experiments using Oxford nanopore direct RNA sequencing. The pipeline is available at https://github.com/dorothyzh/TagSeqTools, under Apache License 2.0.

bioinformatics↗

bioRxiv2020

Genome Wide Analysis of Dinucleotide Distribution along the Genomes of Species and its Biological Implication

Dinucleotide densities and their distribution patterns vary significantly among species. Previous studies revealed that CpG is susceptible to methylation, enriched at topologically associating domains (TADs) boundaries and its distribution along the genome correlates with chromatin compartmentalization. However, the multi-scale organizations of CpG in the linear genome, their role in chromatin organization, and how they change along the evolution are only partially understood. By comparing the CpG distribution at different genomic length scales, we quantify the difference between the CpG distributions of different species and evaluate how the hierarchical uneven CpG distribution appears in evolution. The clustering of species based on the CpG distribution is consistent with the phylogenetic tree. Interestingly, we found the CpG distribution and chromatin structure to be correlated in many different length scales, especially for mammals and avians, consistent with the mosaic CpG distribution in the genomes of these species.

evolutionary biology↗

bioRxiv2020

An isothermal method for sensitive detection of Mycobacterium tuberculosis complexes using CRISPR/Cas12a cis- and trans-cleavage

Tuberculosis is still one of the most serious infectious diseases resulting in lethal death worldwide. The traditional method is still not enough to meet the clinical requirements of rapid diagnosis, high specificity and sensitivity. Fast, sensitive and accurate detection of mycobacterium tuberculosis (MTB) is an urgent need for the treatment and control of tuberculosis disease. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated proteins (Cas12a) exhibits strongly nonspecific degradation ability of exogenous single-strand nucleic acid (trans-cleavage) after specific recognition of target sequence. We purified Cas12a protein and selected a proper guide RNA (gRNA) based on conserved sequences of MTB from gRNA library we designed. Then, we proposed a novel method based on recombinase polymerase amplification (RPA) and CRISPR/Cas12a nuclease system for specific and sensitive detection of MTB DNA. The assay based on fluorescence detection pattern showed 4.48 fM of limit of detection (LOD) and good linear correlation of concentration and fluorescence value (R2=0.9775). Also, it showed good performance in distinguishing other bacteria. Furthermore, its clinical performance was evaluated by 193 samples and showed sensitivity of 99.29% (139/140) and specificity of 100% (53/53) at 99% confidence interval, respectively, compared with culture method. The CRISPR/Cas12a system showed good specificity, excellent sensitivity and accuracy for MTB detection, and it meets requirements of MTB detection in clinical samples and has great potential for clinical translation.

molecular biology↗

bioRxiv2019

NIR-II fluorescence microscopic imaging of cortical vasculature in non-human primates

Vasculature architecture in the brain can provide revealing information about mental and neurological function and disease. Fluorescence imaging in the second near-infrared (NIR-II) regime with less light scattering is a more promising method for detecting cortical vessels than traditional visible and NIR-I modes. Here, for the first time, we developed, NIR-II fluorescence microscopy capabilities for imaging brain vasculature in macaque monkey. The first is a wide-field microscope with high temporal resolution (25 frames/second) for measuring blood flow velocity and cardiac impulse period, and the second is a high spatial resolution (<10 m) confocal microscope producing three-dimensional maps of the cortical microvascular network ([~]500 m deep). Both were designed with flexibility to image various cortical locations on the head. Use of a clinically approved dye provided high brightness in NIR-II region. This comprises an important advance towards studies of neurovascular coupling, stroke, and other diseases relevant to neurovascular health in humans.

neuroscience↗

bioRxiv2019

U1 snRNP regulates cancer cell migration and invasion

Stimulated cells and cancer cells have widespread shortening of mRNA 3-utranslated regions (3UTRs) and switches to shorter mRNA isoforms due to usage of more proximal polyadenylation signals (PASs) in the last exon and in introns. U1 snRNA (U1), vertebrates most abundant non-coding (spliceosomal) small nuclear RNA, silences proximal PASs and its inhibition with antisense morpholino oligonucleotides (U1 AMO) triggers widespread mRNA shortening. Here we show that U1 AMO also modulates cancer cells phenotype, dose-dependently increasing migration and invasion in vitro by up to 500%, whereas U1 over-expression has the opposite effect. In addition to 3UTR length, numerous transcriptome changes that could contribute to this phenotype are observed, including alternative splicing, and mRNA expression levels of proto-oncogenes and tumor suppressors. These findings reveal an unexpected link between U1 regulation and oncogenic and activated cell states, and suggest U1 as a potential target for their modulation.

molecular biology↗

bioRxiv2019

Mutant p53 Drives Clonal Hematopoiesis through Modulating Epigenetic Pathway

Clonal hematopoiesis of indeterminate potential (CHIP) increases with age and is associated with increased risks of hematological malignancies. While TP53 mutations have been identified in CHIP, the molecular mechanisms by which mutant p53 promotes hematopoietic stem and progenitor cell (HSPC) expansion are largely unknown. We discovered that mutant p53 confers a competitive advantage to HSPCs following transplantation and promotes HSPC expansion after radiation-induced stress. Mechanistically, mutant p53 interacts with EZH2 and enhances its association with the chromatin, thereby increasing the levels of H3K27me3 in genes regulating HSPC self-renewal and differentiation. Further, genetic and pharmacological inhibition of EZH2 decrease the repopulating potential of p53 mutant HSPCs. Thus, we have uncovered an epigenetic mechanism by which mutant p53 drives clonal hematopoiesis. Our work will likely establish epigenetic regulator EZH2 as a novel therapeutic target for preventing CHIP progression and treating hematological malignancies with TP53 mutations.

cancer biology↗

bioRxiv2019

Identification of viruses with the potential to infect human

The virus has caused much mortality and morbidity to humans, and still posed a serious threat to the global public health. The virome with the human-infection potential is far from complete. Novel viruses have been discovered at an unprecedented pace as the rapid development of viral metagenomics. However, there is still a lack of a method for rapidly identifying the virus with the human-infection potential. This study built several machine learning models for discriminating the human-infecting viruses from other viruses based on the frequency of k-mers in the viral genomic sequences. The k-nearest neighbor (KNN) model could predict the human-infecting virus with an accuracy of over 90%. Even for the KNN models built on the contigs as short as 1kb, they performed comparably to those built on the viral genomes, suggesting that the models could be used to identify the human-infecting virus from the viral metagenomic sequences. This work could help for discovery of novel human-infecting virus in metagenomics studies.

bioinformatics↗

bioRxiv2019

Prediction of antiviral drugs against African Swine Fever Viruses based on protein-protein interaction analysis

The African swine fever virus (ASFV) has severely influenced the swine industry of the world. Unfortunately, there is no effective antiviral drug or vaccine against the virus until now. Identification of new anti-ASFV drugs is urgently needed. Here, an up-to-date set of protein-protein interactions (PPIs) between ASFV and swine were curated by integration of PPIs from multiple sources. Thirty-two swine proteins were observed to interact with ASFVs and were defined as AIPs. They were found to play a central role in the swine PPI network, with significant larger degree, betweenness and smaller shortest path length than other swine proteins. Some of AIPs also interacted with several other viruses and could be taken as potential targets of drugs for broad-spectrum effect, such as HSP90AB1. Finally, the antiviral drugs which targeted AIPs and ASFV proteins were predicted. Several drugs with either broad-spectrum effect or high specificity on AIPs were identified, such as Polaprezinc. This work could not only deepen our understanding towards the ASFV-swine interactions, but also help for the development of effective antiviral drugs against the ASFVs.

bioinformatics↗

bioRxiv2019

Infection of Plasmodiophora brassicae changes the fungal endophyte community of tumourous stem mustard roots as revealed by high-throughput sequencing and culture-dependent methods

Diverse fungal endophytes live in plants and are shaped by some abiotic and biotic stresses. Plant disease as particular biotic stress possibly gives an impact on the communities of fungal endophytes. In this study, clubroot disease caused by an obligate biotroph protist, Plasmodiophora brassicae, was considered to analyze its influence on the fungal endophyte community using an internal transcribed spacer (ITS) through high-throughput sequencing and culture-dependent methods. The results show that the diversity of the endophyte community in the healthy roots was much higher than the clubroots. Ascomycota was the dominant group of endophytes (including Phoma, Mortierella, Penicillium, etc.) in the healthy roots while P. brassicae was the dominant taxon in the clubroots. Hierarchical clustering, principal component analysis (PCA) and principal coordinates analysis (PCoA) indicated significant differences between the endophyte communities in the healthy roots and clubroots. Linear discriminant analysis effect size (LefSe) analysis showed that the dominant genera could be regarded as potential biomarkers. The endophyte community in the healthy roots had a more complex network compared with the clubroots. Also, many plant pathogenic Fusarium were isolated from the clubroots by the culture-dependent method. The outcome of this study illustrates that P. brassicae infection may change the fungal endophyte community associated with the roots of tumourous stem mustard and facilitates the entry of soil pathogen into the roots.

microbiology↗

bioRxiv2018

Homologous recombination shapes the genetic diversity and drives the evolution of African swine fever viruses

Recent outbreaks of African swine fever virus (ASFV) in China severely influenced the swine industry of the country. Currently, there is no effective vaccine or drugs against ASFVs. How to effectively control the virus is challenging. In this study, we have analyzed all the publicly available ASFV genomes and demonstrated that there was a large genetic diversity of ASFV genomes. Interestingly, the genetic diversity was mainly caused by extensive genomic insertions and/or deletions (indels) instead of the point mutations. The genomic diversity of the virus resulted in proteome diversity. Over 250 types of proteins were inferred from the ASFV genomes, among which only 144 were observed in all analyzed viruses. Further analyses showed that the homologous recombination may contribute much to the indels, as supported by significant associations between the occurrence of extensive recombination events and the indels in the ASFV genomes. Repeated elements of dozens of nucleotides in length were observed to widely distribute and cluster in the adjacent positions of ASFV genomes, which may facilitate the occurrence of homologous recombination. Moreover, two enzymes, which were possibly related to the homologous recombination, i.e., a Lambda-like exonuclease with a YqaJ-like viral recombinase domain, and a DNA topoisomerase II, were found to be conservative in all the analyzed ASFVs. This work highlighted the importance of the homologous recombination in the evolution of the ASFVs, and helped with the strategy development of the prevention and control of the virus.

microbiology↗

bioRxiv2018

Population dynamics and transcriptomic responses of Pseudomonas aeruginosa in a complex laboratory microbial community

Pseudomonas aeruginosa is one of the dominant species when it co-exists with many other bacterial species in diverse environments. To understand its physiology and interactions with co-existing bacterial species in different conditions, we established physiologically reproducible eighteen-species communities, and found that P. aeruginosa became the dominant species in mixed-species biofilm community but not in the planktonic community. P. aeruginosa H1 type VI secretion system was highly induced in the mixed-species biofilm community compare to its mono-species biofilm, which was further demonstrated to play a key role for P. aeruginosa to gain fitness over other bacterial species. In addition, the type IV pili and Psl exopolysaccharide were shown to be required for P. aeruginosa to compete with other bacterial species in the biofilm community. Our study showed that the physiology of P. aeruginosa is strongly affected by interspecies interactions, and both biofilm determinants and H1 type VI secretion system contribute to P. aeruginosa fitness over other species in complex biofilm communities.\n\nImportancePseudomonas aeruginosa usually coexists with different bacterial species in natural environment. However, systematic comparative characterization of P. aeruginosa in complex microbial communities with its mono-species communities is lacking. We constructed mixed-species planktonic and biofilm communities consisting P. aeruginosa and seventeen other bacterial species to study the physiology and interaction of P. aeruginosa in complex multiple-species community. A single molecule detection platform, NanoString nCounter(R) 16S rRNA array, was used to shown that P. aeruginosa can become the dominant species in the biofilm communities while not in the planktonic communities. Comparative transcriptomic analysis and fluorescence-based quantification further revealed that P. aeruginosa H1 type VI secretion system and biofilm determinants are both required for its fitness in mixed-species biofilm communities.

microbiology↗

bioRxiv2018

Membrane proteins with high N-glycosylation, high expression, and multiple interaction partners were preferred by mammalian viruses as receptors

Receptor mediated entry is the first step for viral infection. However, the relationship between viruses and receptors is still obscure. Here, by manually curating a high-quality database of 268 pairs of mammalian virus-host receptor interaction, which included 128 unique viral species or sub-species and 119 virus receptors, we found the viral receptors were structurally and functionally diverse, yet they had several common features when compared to other cell membrane proteins: more protein domains, higher level of N-glycosylation, higher ratio of self-interaction and more interaction partners, and higher expression in most tissues of the host. Additionally, the receptors used by the same virus tended to co-evolve. Further correlation analysis between viral receptors and the tissue and host specificity of the virus shows that the virus receptor similarity was a significant predictor for mammalian virus cross-species. This work could deepen our understanding towards the viral receptor selection and help evaluate the risk of viral zoonotic diseases.

microbiology↗

bioRxiv2018

Quality control-based signal drift correction and interpretations of metabolomics/proteomics data using random forest regression

Large-scale mass spectrometry-based metabolomics and proteomics study requires the long-term analysis of multiple batches of biological samples, which often accompanied with significant signal drift and various inter- and intra- batch variations. The unwanted variations can lead to poor inter- and intra-day reproducibility, which is a hindrance to discover real significance. We developed a novel quality control-based random forest signal correction algorithm, being ensemble learning approach to remove inter- and intra- batches of unwanted variations at feature-level. Our evaluation based on real samples showed the developed algorithm improved the data precision and statistical accuracy for metabolomics and proteomics, which was superior to other common correction methods. We have been able to improve its performance for interpretations of large-scale metabolomics and proteomics data, and to allow the improvement of the data precision for uncovering the real biologically differences.

bioinformatics↗