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1.
Genomics ; 112(2): 1643-1650, 2020 03.
Article in English | MEDLINE | ID: mdl-31626899

ABSTRACT

Viral infection is a complex pathogenesis and the underlying molecular mechanisms remain poorly understood. In this study, an integrated multiple resources analysis was performed and showed that the cellular ncRNAs and proteins targeted by viruses were primarily "hubs" and "bottlenecks" in the human ncRNA/protein-protein interaction. The common proteins targeted by both viral ncRNAs and proteins tended to skew toward higher degrees and betweenness compared with other proteins, showed significant enrichment in the cell death process. Specifically, >800 pairs of human cellular ncRNAs and viral ncRNAs that exhibited a high degree of functional homology were identified, representing potential ncRNA-mediated co-regulation patterns of viral invasion. Additionally, clustering analysis further revealed several distinct viral clusters with obvious functional divergence. Overall, this is the first attempt to systematically explore the invasive mechanism via global ncRNA-associated virus-host crosstalk. Our results provide useful information in comprehensively understanding the viral invasive mechanism.


Subject(s)
Host-Pathogen Interactions , RNA, Untranslated/genetics , Virus Diseases/genetics , Cell Death , Genome, Human , Genome, Viral , Humans , Protein Interaction Maps , RNA, Untranslated/metabolism , Virus Diseases/virology
2.
World J Gastroenterol ; 28(18): 1981-1995, 2022 May 14.
Article in English | MEDLINE | ID: mdl-35664967

ABSTRACT

BACKGROUND: Fusobacterium nucleatum (F. nucleatum) has long been known to cause opportunistic infections and has recently been implicated in colorectal cancer (CRC), which has attracted broad attention. However, the mechanism by which it is involved in CRC development is not fully understood. AIM: To explore its potential causative role in CRC development, we evaluated the colon pathology, mucosa barrier, colon microbiota and host transcriptome profile after F. nucleatum infection in an azoxymethane/dextran sulfate sodium salt (AOM/DSS) mouse model. METHODS: Three groups of mice were compared to reveal the differences, i.e., the control, AOM/DSS-induced CRC and AOM/DSS-FUSO infection groups. RESULTS: Both the AOM/DSS and AOM/DSS-FUSO groups exhibited a significantly reduced body weight and increased tumor numbers than the control group, and AOM/DSS mice with F. nucleatum infection showed the highest tumor formation ratio among the three groups. Moreover, the colon pathology was the most serious in the AOM/DSS-FUSO group. We found that the structure of the colon microbiota changed considerably after F. nucleatum infection; striking differences in mucosal microbial population patterns were observed between the AOM/DSS-FUSO and AOM/DSS groups, and inflammation-inducing bacteria were enriched in the mucosal microbiota in the AOM/DSS-FUSO group. By comparing intestinal transcriptomics data from AOM vs AOM/DSS-FUSO mice, we showed that transcriptional activity was strongly affected by dysbiosis of the gut microbiota. The most microbiota-sensitive genes were oncogenes in the intestine, and the cyclic adenosine monophosphate signaling pathway, neuroactive ligand-receptor interaction, PPAR signaling pathway, retinol metabolism, mineral absorption and drug metabolism were highly enriched in the AOM/DSS-FUSO group. Additionally, we showed that microbial dysbiosis driven by F. nucleatum infection enriched eight taxa belonging to Proteobacteria, which correlates with increased expression of oncogenic genes. CONCLUSION: Our study demonstrated that F. nucleatum infection altered the colon mucosal microbiota by enriching pathogens related to the development of CRC, providing new insights into the role of F. nucleatum in the oncogenic microbial environment of the colon.


Subject(s)
Colonic Neoplasms , Colorectal Neoplasms , Fusobacterium Infections , Gastrointestinal Microbiome , Animals , Azoxymethane/toxicity , Colonic Neoplasms/chemically induced , Colonic Neoplasms/complications , Colonic Neoplasms/genetics , Colorectal Neoplasms/chemically induced , Colorectal Neoplasms/genetics , Dextran Sulfate , Disease Models, Animal , Dysbiosis/complications , Fusobacterium Infections/complications , Fusobacterium nucleatum , Humans , Intestinal Mucosa/pathology , Mice , Transcriptome
3.
Database (Oxford) ; 20222022 03 12.
Article in English | MEDLINE | ID: mdl-35277958

ABSTRACT

Organ fibrosis represents a vital health threat that substantially contributes to yearly mortality rates. While a considerable amount of research has been conducted on fibrosis, these reports have only focused on specific organs as affected within distinct disorders. Accordingly, results from such studies have been unable to provide a comprehensive understanding of the pathological processes involved. Here, we describe the development of FibROAD, an open-access database that integrates evidence from fibrosis-associated disorders as obtained from both the literature and multi-omics data. This resource will greatly assist both researchers and clinicians in the comprehension and treatment of this condition. FibROAD currently involves an assembly of 232 strong evidence-based fibrosis-related genes (FRGs) as garnered from 909 PubMed publications and contains lists of multi-omics data from > 4000 samples including RNA-seq, single-cell RNA-seq, miRNA-seq, ChIP-seq, ATAC-seq MeDIP-seq and MBD-seq as obtained from 17 different organs in 5 species. Results from integrative analyses as obtained using FibROAD have demonstrated that FRGs can be indicators for a wide range of organ fibrosis and reveal potential pro-fibrotic candidate genes for fibrosis research. In conclusion, FibROAD serves as a convenient platform where researchers can acquire integrated evidence and a more comprehensive understanding of fibrosis-related disorders. Database URL  https://www.fibroad.org.


Subject(s)
Chromatin Immunoprecipitation Sequencing , Databases, Factual , Fibrosis , Humans , RNA-Seq , Sequence Analysis
4.
Nat Commun ; 12(1): 3709, 2021 06 17.
Article in English | MEDLINE | ID: mdl-34140509

ABSTRACT

Fibrotic skin disease represents a major global healthcare burden, characterized by fibroblast hyperproliferation and excessive accumulation of extracellular matrix. Fibroblasts are found to be heterogeneous in multiple fibrotic diseases, but fibroblast heterogeneity in fibrotic skin diseases is not well characterized. In this study, we explore fibroblast heterogeneity in keloid, a paradigm of fibrotic skin diseases, by using single-cell RNA-seq. Our results indicate that keloid fibroblasts can be divided into 4 subpopulations: secretory-papillary, secretory-reticular, mesenchymal and pro-inflammatory. Interestingly, the percentage of mesenchymal fibroblast subpopulation is significantly increased in keloid compared to normal scar. Functional studies indicate that mesenchymal fibroblasts are crucial for collagen overexpression in keloid. Increased mesenchymal fibroblast subpopulation is also found in another fibrotic skin disease, scleroderma, suggesting this is a broad mechanism for skin fibrosis. These findings will help us better understand skin fibrotic pathogenesis, and provide potential targets for fibrotic disease therapies.


Subject(s)
Collagen/metabolism , Fibroblasts/cytology , Fibroblasts/metabolism , Keloid/metabolism , Mesoderm/cytology , Cell Adhesion Molecules/genetics , Cell Adhesion Molecules/metabolism , Collagen/genetics , Extracellular Matrix/genetics , Extracellular Matrix/metabolism , Extracellular Matrix/pathology , Fibroblasts/pathology , Gene Expression Regulation/genetics , Gene Ontology , Humans , Keloid/genetics , Keloid/pathology , Ligands , Mesoderm/metabolism , Mesoderm/pathology , RNA-Seq , Scleroderma, Systemic/genetics , Scleroderma, Systemic/metabolism , Scleroderma, Systemic/pathology , Single-Cell Analysis , Skin Diseases/genetics , Skin Diseases/metabolism , Skin Diseases/pathology
5.
J Infect ; 65(5): 412-22, 2012 Nov.
Article in English | MEDLINE | ID: mdl-22728171

ABSTRACT

OBJECTIVE: To better understand the molecular mechanisms and evolution of drug resistance in Mycobacterium tuberculosis (M. tuberculosis), we performed a genomic sequence based scanning of drug resistance-associated loci for multidrug-resistant (MDR) and extensively drug-resistant (XDR) M. tuberculosis strains. MATERIALS AND METHODS: Forty-five pairs of primers covering known drug resistance-associated loci compiled in the TBDReaMDB database were designed to perform the analysis of drug resistance-associated mutations for 14 M. tuberculosis clinical isolates from TB patients in China. Genetic diversity and evolutionary analysis was done using concatenated nucleotide sequences of drug resistance-associated loci. RESULTS: Forty-four types of mutations were identified in 14 M. tuberculosis clinical isolates. Average nucleotide diversity for drug resistance-associated loci increased in the M. tuberculosis isolates as the drug resistance increased (π = 0, π = 0.00021, and π = 0.00028 for susceptible, MDR, and XDR isolates, respectively). The dN/dS ratios for coding regions of drug resistance-associated genes in MDR and XDR isolates were 2.73 and 1.83, respectively. MDR and XDR isolates were distributed sporadically on different branches in the phylogenetic trees. CONCLUSIONS: Our study provides supporting evidence to demonstrate that the MDR- and XDR-M. tuberculosis strains have evolved independently driven by positive selection.


Subject(s)
Drug Resistance, Multiple, Bacterial/genetics , Extensively Drug-Resistant Tuberculosis/microbiology , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/genetics , Tuberculosis, Multidrug-Resistant/microbiology , DNA Mutational Analysis , DNA, Bacterial/analysis , Databases, Genetic , Evolution, Molecular , Genes, Bacterial/genetics , Humans , Microbial Sensitivity Tests , Mycobacterium tuberculosis/classification , Phylogeny
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