Biology subjects

Xiang, H.

Publications and source records attributed to Xiang, H..

31 records · Page 2Linked to original sources

bioRxiv2023

DNA 5-methylcytosine regulates genome-wide formation of G-quadruplex structures

G-quadruplex structures (G4s) have been identified in genomes of multiple organisms and proven to play important epigenetic regulatory roles in various cellular functions. However, the G4 formation mechanism remains largely unknown. Here, we found a negative correlation between DNA 5mC methylation and G4 abundance. The abundance of genomic G4s significantly increased when the whole-genome methylation level was reduced in DNMT1-knockout cells. This increase was then suppressed by DNMT1 over-expression. And more G4s were detected in the hypomethylated cancer cell line HepG2 and rectal cancer tissues. Besides, 5mC modification significantly inhibited G4 formation of the potential G-quadruplex sequences (PQSs). The transcription of genes with 5mC modification sites in their promoter PQSs was affected after treatment with G4 stabilizer pyridostatin or methylation inhibitor 5-aza-dC. The global reduction of genomic methylation elevates gene transcription levels through increased G4s. Taken together, DNA 5mC methylation prevents PQSs from folding into G4s in genomes.

molecular biology↗

bioRxiv2022

The nematode effector Mj-NEROSs interacts with ISP influencing plastid ROS production to suppress plant immunity

Root-knot nematodes are an important group of plant pathogens that mainly infect plant roots. They establish a feeding site in the host upon infection while secreting hundreds of effectors. These effector proteins are crucial for successful pathogen propagation. Although many effectors have been described, their targets and molecular mode of action are still unknown. Here we report the analysis of the RKN effector, Mj-NEROSs (Meloidogyne javanica nematode effector ROS suppressor), which emerges to have an essential role in suppressing host immunity by inhibiting INF1-induced cell death and reducing callose deposition. Secreted from the subventral esophageal glands to giant cells, Mj-NEROSs localizes in plastids where it interacts with ISP, interfering with the electron transport rate and ROS production. Moreover, our transcriptome analysis shows the downregulation of ROS-related genes upon Mj-NEROSs expression. We propose that Mj-NEROSs manipulates root plastids leading to transcriptional changes, lowering ROS production, and suppressing host immunity.

plant biology↗

bioRxiv2022

Comparative genomic insights into the evolution of Halobacteria-associated "Candidatus Nanohaloarchaeota"

The phylum "Candidatus Nanohaloarchaeota" is a representative halophilic lineage within DPANN superphylum. They are characterized by their nanosized cells and symbiotic lifestyle with Halobacteria. However, the development of the symbiosis remains unclear for the lack of genomes located at the transition stage. Here, we performed a comparative genomic analysis of "Ca. Nanohaloarchaeota". We propose a novel family "Candidatus Nanoanaerosalinaceae" represented by five de-replicated metagenome-assembled genomes obtained from hypersaline sediments and the enrichment cultures of soda-saline lakes. Phylogeny analysis reveals that the novel family are placed at the root of the family "Candidatus Nanosalinaceae" including the well-researched taxa. Most members of "Ca. Nanoanaerosalinaceae" contain lower proportion of putative horizontal gene transfers from Halobacteria than "Ca. Nanosalinaceae", while they maintain moderately acidic proteomes for hypersaline adaptation of "salt-in" strategy, suggesting that "Ca. Nanoanaerosalinaceae" have not established an intimate association with Halobacteria, and may descend from an intermediate stage. Functional prediction discloses that they exhibit divergent potentials in carbohydrate and organic acids metabolism, and environmental responses. Historical events reconstruction illustrates that the involved genes acquired at the putative ancestors possibly drive the evolutionary and symbiotic divergences. Globally, this research on the new family "Ca. Nanoanaerosalinaceae" enriches the taxonomic and functional diversity of "Ca. Nanohaloarchaeota", and provides insights into the evolutionary process of "Ca. Nanohaloarchaeota" and their Halobacteria-associated symbiosis. ImportanceDPANN superphylum is a group of archaea widely distributing in various habitats. They generally have small cells, and perform a symbiotic lifestyle with other archaea. The archaeal symbiotic interaction is important to understand microbial community. However, the formation and evolution of the symbiosis between the DPANN lineages and other diverse archaea remain unclear. Based on phylogeny, hypersaline adaptation, functional potentials, and historical events of "Ca. Nanohaloarchaeota", a representative phylum within the DPANN superphylum, we report a novel family descending from an intermediate stage, and we illustrate the evolutionary process of "Ca. Nanohaloarchaeota" and their Halobacteria-associated symbiosis. Furthermore, we find the acquired genes involved in carbohydrate and organic acids metabolism and environmental responses possibly drive the evolutionary and symbiotic divergences. Altogether, this research helps in understanding the evolution of the archaeal symbiosis, and provides a model for the evolution of the other DPANN lineages.

microbiology↗

bioRxiv2022

KMCP: accurate metagenomic profiling of both prokaryotic and viral populations by pseudo-mapping

MotivationThe growing number of microbial reference genomes enables the improvement of metagenomic profiling accuracy but also imposes greater requirements on the indexing efficiency, database size, and runtime of taxonomic profilers. Additionally, most profilers focus mainly on bacterial, archaeal, and fungal populations, while less attention is paid to viral communities. ResultsWe present KMCP, a novel k-mer-based metagenomic profiling tool that utilizes genome coverage information by splitting the reference genomes into chunks and then stores k-mers in a modified and optimized COBS index for fast alignment-free sequence searching. KMCP combines k-mer similarity and genome coverage information to reduce the false positive rate of k-mer-based taxonomic classification and profiling methods. Benchmarking results based on simulated and real data demonstrate that KMCP, despite a longer running time than all other methods, not only allows the accurate taxonomic profiling of prokaryotic and viral populations but also provides confident pathogen detection in clinical samples of low depth. Availability and ImplementationThe software is open-source under the MIT license and available at https://github.com/shenwei356/kmcp.

bioinformatics↗

bioRxiv2022

Cohesin mutation sensitizes cancer cells to anti-PD-1 therapy through endogenous retrovirus-mediated PD-L1 upregulation

Immune checkpoint therapy shows impressive and durable clinical responses in cancer patients, but the genetic determinants that enable cancer cells to respond to anti-PD-1 therapy are still elusive. Herein, we identified that NIPBL deficiency promotes endogenous retrovirus (ERV) expression in tumour cells, which in turn inactivates CD8+ tumour-infiltrating lymphocytes (TILs) via the PD-L1/PD-1 inhibitory checkpoint pathway. Mechanistically, NIPBL deficiency impairs DNMT1 transcription, preventing DNMT1 from suppressing ERV expression in tumour cells; ERVs stimulate PD-L1 expression by inducing the STAT2-IRF9 complex, a downstream event of double-stranded RNA (dsRNA)-MAVS-IRF3 signalling, and thereby suppress CD8 TIL-mediated immunity. An anti-PD-1 monoclonal antibody achieved remarkable therapeutic effects in Nipbl-deficient syngeneic tumour models and improved host survival by eliciting an antitumour memory immune response. Cancer patients harbouring mutations of cohesin subunits and regulators plus DNMT1 had significantly better responses to anti-PD-1 therapy than their non-mutated counterparts did. Our study reveals a novel mechanism by which cohesin complex deregulation stimulates ERV expression by impairing DNMT1 expression and fosters an immunosuppressive tumour microenvironment by activating the PD-L1/PD-1 inhibitory checkpoint.

cancer biology↗

bioRxiv2021

IntroSpect: motif-guided immunopeptidome database building tool to improve the sensitivity of HLA binding peptide identification

Although database search tools originally developed for shotgun proteome have been widely used in immunopeptidomic mass spectrometry identifications, they have been reported to achieve undesirably low sensitivities and/or high false positive rates as a result of the hugely inflated search space caused by the lack of specific enzymic digestions in immunopeptidome. To overcome such a problem, we have developed a motif-guided immunopeptidome database building tool named IntroSpect, which is designed to first learn the peptide motifs from high confidence hits in the initial search and then build a targeted database for refined search. Evaluated on three representative HLA class I datasets, IntroSpect can improve the sensitivity by an average of 80% comparing to conventional searches with unspecific digestions while maintaining a very high accuracy ([~]96%) as confirmed by synthetic validation experiments. A distinct advantage of IntroSpect is that it does not depend on any external HLA data so that it performs equally well on both well-studied and poorly-studied HLA types, unlike a previously developed method SpectMHC. We have also designed IntroSpect to keep a global FDR that can be conveniently controlled, similar to conventional database search engines. Finally, we demonstrate the practical value of IntroSpect by discovering neoantigens from MS data directly. IntroSpect is freely available at https://github.com/BGI2016/IntroSpect.

bioinformatics↗

bioRxiv2020

Landscapes and dynamic diversifications of B-cell receptor repertoires in COVID-19 patients

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the pandemic of coronavirus disease 2019 (COVID-19). Great international efforts have been put into the development of prophylactic vaccines and neutralizing antibodies. However, the knowledge about the B cell immune response induced by the SARS-CoV-2 virus is still limited. Here, we report a comprehensive characterization of the dynamics of immunoglobin heavy chain (IGH) repertoire in COVID-19 patients. By using next-generation sequencing technology, we examined the temporal changes in the landscape of the patients immunological status, and found dramatic changes in the IGH within the patients immune system after the onset of COVID-19 symptoms. Although different patients have distinct immune responses to SARS-CoV-2 infection, by employing clonotype overlap, lineage expansion and clonotype network analyses, we observed a higher clonotype overlap and substantial lineage expansion of B cell clones during 2-3 weeks of illness, which is of great importance to B-cell immune responses. Meanwhile, for preferences of V gene usage during SARS-CoV-2 infection, IGHV3-74 and IGHV4-34 and IGHV4-39 in COVID-19 patients were more abundant than that of healthy controls. Overall, we present an immunological resource for SARS-CoV-2 that could promote both therapeutic development as well as mechanistic research.

immunology↗

bioRxiv2019

CTP synthase forms cytoophidia in archaea

CTP synthase (CTPS) is an important metabolic enzyme that catalyzes the rate-limiting reaction of de novo synthesis of the nucleotide CTP. Since 2010, a series of studies have demonstrated that CTPS can form filamentous structures termed cytoophidia in bacteria and eukaryotes. However, it remains unknown whether cytoophidia exist in archaea, the third domain of life. Using Haloarcula hispanica as a model system, here we demonstrate that CTPS forms distinct intracellular compartments in archaeal cells. Under stimulated emission depletion (STED) microscopy, we find that some HhCTPS compartments have elongated filamentous structures, resembling cytoophidia in bacteria and eukaryotes. When Haloarcula cells are cultured in low-salt medium, the occurrence of cytoophidia increases dramatically. Moreover, overexpression of CTPS or glutamine analog treatment promotes cytoophidium assembly in H. hispanica. Our study reveals that CTPS forms cytoophidia in all three domains of life, suggesting that this is an ancient property of CTPS.

cell biology↗

bioRxiv2019

Computational redesign of PETase for plastic biodegradation by GRAPE strategy

The excessive use of plastics has been accompanied by severe ecologically damaging effects. The recent discovery of a PETase from Ideonella sakaiensis that decomposes poly(ethylene terephthalate) (PET) under mild conditions provides an attractive avenue for the biodegradation of plastics. However, the inherent instability of the enzyme limits its practical utilization. Here, we devised a novel computational strategy (greedy accumulated strategy for protein engineering, GRAPE). A systematic clustering analysis combined with greedy accumulation of beneficial mutations in a computationally derived library enabled the design of a variant, DuraPETase, which exhibits an apparent melting temperature that is drastically elevated by 31 {degrees}C and strikingly enhanced degradation performance toward semicrystalline PET films (23%) at mild temperatures (over two orders of magnitude improvement). The mechanism underlying the robust promotion of enzyme performance has been demonstrated via a crystal structure and molecular dynamics simulations. This work shows the capabilities of computational enzyme design to circumvent antagonistic epistatic effects and provides a valuable tool for further understanding and advancing polyester hydrolysis in the natural environment.

synthetic biology↗

bioRxiv2019

Dynamic chromosome rearrangements of the white-spotted bamboo shark shed light on cartilaginous fish diversification mechanisms

Cartilaginous fishes have a very high phenotypical diversity, a phenomenon for which the mechanisms have been largely unexplored. Here, we report the genome of the white-spotted bamboo shark as the first chromosome-level genome assembly of cartilaginous fish. Using this genome, we illustrated a dynamic chromosome rearrangement process in the bamboo shark, which resulted in the formation of 13 chromosomes, all of which were sparsely distributed with conserved genes and fast-evolving. We found the fast-evolving chromosomes to be enriched in immune-related genes with two chromosomes harboring the major genes for developing the single-chain antibody. We also found chromosome rearrangements to have resulted in the loss of two genes (p2rx3 and p2rx5) which we also showed were involved in cartilage development using a CRISPR/Cas9 approach in zebrafish. Our study highlighted the significance of chromosome rearrangements in the phenotypical evolution of cartilaginous fishes, providing clues to inform further studies on mechanisms for fish diversification.

genomics↗

bioRxiv2019

EPIC: MHC-I epitope prediction integrating mass spectrometry derived motifs and tissue-specific expression profiles

BackgroundAccurate prediction of epitopes presented by human leukocyte antigen (HLA) is crucial for personalized cancer immunotherapies targeting T cell epitopes. Mass spectrometry (MS) profiling of eluted HLA ligands, which provides high-throughput measurements of HLA associated peptides in vivo, can be used to faithfully model the presentation of epitopes on the cell surface. In addition, gene expression profiles measured by RNA-seq data in a specific cell/tissue type can significantly improve the performance of epitope presentation prediction. However, although large amount of high-quality MS data of HLA-bound peptides is being generated in recent years, few provide matching RNA-seq data, which makes incorporating gene expression into epitope prediction difficult. MethodsWe collected publicly available HLA peptidome and matching RNA-seq data of 34 cell lines derived from various sources. We built position score specific matrixes (PSSMs) for 21 HLA-I alleles based on these MS data, then used logistic regression (LR) to model the relationship among PSSM score, gene expression and peptide length to predict whether a peptide could be presented in each of the cell line. We further built a universal LR model, termed Epitope Presentation Integrated Prediction (EPIP), based on more than 180,000 unique HLA ligands collected from public sources and ~3,000 HLA ligands generated by ourselves, to predict epitope presentation for 66 common HLA-I alleles. ResultsWhen evaluating EPIP on large, independent HLA eluted ligand datasets, it performed substantially better than other popular methods, including MixMHCpred (v2.0), NetMHCpan (v4.0), and MHCflurry (v1.2.2), with an average 0.1% positive predictive value (PPV) of 52.01%, compared to 37.24%, 36.96%, 24.90% and 23.76% achieved by MixMHCpred, NetMHCpan-4.0 (EL), NetMHCpan-4.0 (BA) and MHCflurry, respectively. It is also comparable to EDGE, a recent deep learning-based model that is not publicly available, on predicting epitope presentation and selecting immunogenic cancer neoantigens. However, the simplicity and flexibility of EPIP makes it easier to be applied in diverse situations, and we demonstrated this by generating MS data for the HCC4006 cell line and adding the support of HLA-A*33:03 to EPIP. EPIP is publicly available as a web tool < http://epip.genomics.cn/>. Conclusionswe have developed an easy to use, publicly available epitope prediction tool, EPIP, that incorporates information from both MS and RNA-seq data, and demonstrated its superior performance over existing public methods.

bioinformatics↗

bioRxiv2018

Native CRISPR-Cas mediated in situ genome editing reveals extensive resistance synergy in the clinical multidrug resistant Pseudomonas aeruginosa

Antimicrobial resistance (AMR) is imposing a global public health threat. Despite its importance, resistance characterization in the native background of clinically isolated resistant pathogens is frequently hindered by the lack of genome editing tools in these \"non-model\" strains. Pseudomonas aeruginosa is both a prototypical multidrug resistant (MDR) pathogen and a model species for understanding CRISPR-Cas functions. In this study, we report the successful development of the first native type I-F CRISPR-Cas mediated, one-step genome editing technique in a paradigmatic MDR strain PA154197. The technique is readily applicable in additional type I-F CRISPR-containing, clinical/environmental P. aeruginosa isolates. A two-step In-Del strategy is further developed to edit genomic locus lacking an effective PAM (protospacer adjacent motif) or within an essential gene, which together principally allows any type of non-lethal genomic manipulations in these strains. Exploiting these powerful techniques, a series of reverse mutations are constructed and the key resistant determinants of the MDR PA154197 are elucidated which include over-production of two multidrug efflux pumps MexAB-OprM and MexEF-OprN, and a typical fluoroquinolone (FQ) resistance mutation T83I in the drug target gene gyrA. Characterizing antimicrobial susceptibilities in isogenic strains containing various combinations of single, double, or all three key resistance determinants reveal that i) extensive synergy exists between the target mutation and over-production of efflux pumps, and between the two over-produced tripartite efflux pumps to confer clinically significant FQ resistance; ii) while basal level MexAB-OprM confers resistance only to penicillins, its over-production leads to substantial resistance to all antipseudonmonal {beta}-lactams and additional resistance to FQs; iii) despite the acquisition and over-production of multiple resistant mutations, no obvious evolutionary trade-off of collateral sensitivity is developed in PA154197. Together, these results provide new insights into resistance development in clinical MDR P. aeruginosa strains and demonstrate the great potentials of native CRISPR systems in AMR research.

microbiology↗

bioRxiv2018

Artificial Selection on Storage Protein 1 Contributes to Increase of Hatchability during Silkworm Domestication

Like other domesticates, efficient utilization of nitrogen resource is also important for the domestic insect, the silkworm. Deciphering how artificial selection act on silkworm genome for improved utilization of nitrogen resource and further human-favored domestication traits will provide unique cues from the insect scenario for understanding general rules of Darwins evolutionary theory on domestication. Storage proteins (SP), which belong to a hemocyanin superfamily, basically serve as a source of amino acids and nitrogen during metamorphosis and reproduction in insects. Here through genomic search and further screening of artificial selection signature on silkworm SPs, we discovered a candidate domestication gene, i.e. the methionine-rich storage protein1 (SP1), which is uniquely diverged from the others and showed increased expression in the ova of domestic silkworms. Knockout of SP1 via CRISPR/Cas9 approach resulted in dramatic decrease in egg hatchability, without obvious impact on egg production, which was similar to the case in the wild silkworm compared with domestic one. Larval development or metamorphosis were not affected by SP1 knockout. Comprehensive ova comparative transcriptomes indicated a general repression of gene expression, specifically vitellogenin, chorion proteins and structural component proteins in the extracellular matrix (ECM)-interaction pathway, as well as enzymes in folate biosynthesis, in both the mutant and the wild silkworm with the mutated allele, compared to the wild type domestic silkworm. Wild silkworms with the wild allele also showed generally down-regulated expression of genes enriched in structural constituent of ribosome and amide and peptide biosynthesis. This study exemplified a novel case that artificial selection could directly act on nitrogen resource protein to affect egg nutrient and eggshell formation, and activate ribosome for improved biosynthesis and increased hatchability during domestication. The findings shed new light on both understanding of artificial selection and silkworm breeding from the angle of nitrogen and amino acid resource.\n\nAuthor summaryLike other domesticates, nitrogen resource is also important for the domestic insect, the silkworm. Deciphering how artificial selection act on silkworm genome for improved utilization of nitrogen resource and further human-favored domestication traits, will provide unique cues from insect scenario, for understanding general rules of Darwins evolutionary theory. However, mechanism of domestication in the silkworm is largely unknown to date. Here we focused on one important nitrogen resource, i.e, the storage proteins (SP). We discovered that the methionine-rich storage protein1 (SP1) which is divergent from the other SPs are the only target of the artificial selection. We proposed based on functional evidence together with the key findings of comprehensive comparative transcriptome, that artificial selection, on one hand favored higher expression of SP1 in the domestic silkworm, which would subsequently up-regulate the genes or pathways vital for egg development and eggshell formation. On the other hand, artificial selection consistently favored activated ribosome activities and improved amide and peptide biosynthesis and in the ova, as it might act in the silk gland for increased silk-cocoon yield. We here exemplified a novel case that artificial selection could directly act on nitrogen resource protein for human desired domestication trait.

evolutionary biology↗