A5100432712- MicroRNA in disease regulation
- Circular RNAs in diseases
- Cancer-related molecular mechanisms research
- Gut microbiota and health
- Clostridium difficile and Clostridium perfringens research
- RNA Research and Splicing
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- Diet and metabolism studies
- Extracellular vesicles in disease
- Probiotics and Fermented Foods
- Computational Drug Discovery Methods
- RNA Interference and Gene Delivery
- Gene expression and cancer classification
- Cancer Mechanisms and Therapy
- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Rock Mechanics and Modeling
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- Tunneling and Rock Mechanics
- Machine Learning in Bioinformatics
- Advanced biosensing and bioanalysis techniques
- Aquaculture disease management and microbiota
- Dental Health and Care Utilization
Hunan University of Science and Technology
2016-2025
East China University of Science and Technology
2025
University of California, Berkeley
2025
Guizhou Institute of Technology
2025
Hainan Medical University
2024
First Affiliated Hospital of Xi'an Jiaotong University
2024
Shanghai University of Traditional Chinese Medicine
2023-2024
Ningxia Medical University
2021-2024
Yueyang Hospital
2024
Novelis (Canada)
2022-2023
Introduction: Human gut microbiota is believed to be directly or indirectly involved in cardiovascular diseases and hypertension. However, the identification functional status of hypertension-related microbe(s) have not yet been surveyed a comprehensive manner. Methods: Here we characterized microbiome hypertension by comparing fecal samples 60 patients with primary gender-, age-, body weight-matched healthy controls based on whole-metagenome shotgun sequencing. Results: Hypertension...
Increasing evidences show that the occurrence of human complex diseases is closely related to microRNA (miRNA) variation and imbalance. For this reason, predicting disease-related miRNAs essential for diagnosis treatment diseases. Although some current computational methods can effectively predict potential miRNAs, accuracy prediction should be further improved. In our study, a new method via deep forest ensemble learning based on autoencoder (DFELMDA) proposed miRNA-disease associations....
This study aimed to investigate the effects of dietary astragalus polysaccharide (APS) supplementation on immune function, gut microbiota and metabolism broiler chickens challenged with necrotic enteritis (NE). Two hundred forty Arbor Acres chicks (one day old) were randomly assigned using a 2 × factorial arrangement into two groups fed different levels APS (0 or 200 ppm diet) disease challenge (control NE challenged). The results showed that infection significantly increased FCR, mortality...
hsa_circ_0001727 (circZKSCAN1) has been reported to be a tumor-associated circRNA by sponging microRNAs. Intriguingly, we found that circZKSCAN1 encoded secretory peptide (circZKSaa) in the liver. The present study aims elucidate potential role and molecular mechanism of circZKSaa regulation hepatocellular carcinoma (HCC) progression.The profiling datasets (RNA-seq data GSE143233 GSE140202) were reanalyzed was selected for further study. Mass spectrometry, polysome fractionation assay,...
Circular RNAs (circRNAs) represent a widespread class of non-coding RNAs, which drew little attention in the past. Recently, limited data showed their promising future to act as biomarkers human cancer, but characteristics and functions remain largely unknown hematopoietic malignancies, especially leukemia. In this study, with help circRNA microarray, we demonstrated expression profile circRNAs acute myeloid leukemia (AML) patients, identified large number possibly expressed specific manner....
Background: Bioinformatics research comes into an era of big data. Mining potential value in biological data for scientific and health care field has the vital significance. Deep learning as new machine algorithms, on basis high performance distributed parallel computing, show excellent processing. Objective: Provides a valuable reference researchers to use deep their studies processing large Methods: This paper introduces model storage computational facilities analyzing. Then, application...
Hepatocellular carcinoma (HCC) is one of the major causes cancer-related death worldwide. Circular RNAs (circRNAs), a novel class non-coding RNA, have been reported to be involved in etiology various malignancies. However, underlying cellular mechanisms circRNAs implicated pathogenesis HCC remain unknown. In this study, we identified functional hsa_circ_0000384 (circMRPS35), from public tumor databases using set computational analyses, and further that circMRPS35 was highly expressed 35...
Enhancers are non-coding DNA fragments with high position variability and free scattering. They play an important role in controlling gene expression. As machine learning has become more widely used identifying enhancers, a number of bioinformatic tools have been developed. Although several models for enhancers their strengths proposed, accuracy efficiency yet to be improved.We propose two-layer predictor called 'iEnhancer-XG.' It comprises one-layer (for enhancers) second classifier...
Abstract The study was aimed to screen out miRNAs with differential expression in hepatocellular carcinoma (HCC), and explore the influence of expressions these their target gene on HCC cell proliferation, invasion apoptosis. MiRNAs were screened by microarray analysis. common (miR‐139‐5p, miR‐940 miR‐193a‐5p) analysing genes profile (acquired from Targetscan) three miRNAs. Expression levels SPOCK1 determined quantitative real time polymerase chain reaction (qRT‐PCR). relationships verified...
Circular RNAs (circRNAs) play critical roles in tumorigenesis and the progression of various cancers.We previously identified a novel upregulated circRNA, circBCBM1 (hsa_circ_0001944), context breast cancer brain metastasis.However, potential biological function molecular mechanism metastasis remain largely unknown.In this study, we confirmed that was stable cytoplasmic circRNA.Functionally, promoted proliferation migration 231-BR cells vitro growth vivo.Mechanistically, acted as an...
To explore the composition of intestinal microbiota in ulcerative colitis (UC) patients and to identify differences between with active disease those remission.Between September 2020 June 2021, we enrolled into our study, collected stool samples from, UC or remission healthy control subjects. The diagnosis was based on clinical, endoscopic, radiological, histological findings. determined by sequencing 16S rRNA V3-V4 region bioinformatic methods. functional predicted using PICRUSt 2...
Chronic heart failure (CHF) is the final outcome of almost all forms cardiovascular diseases, remaining main cause mortality worldwide. Accumulating evidence focused on roles gut microbial community in disease, but few studies have unveiled alterations and further directions microbiota severe CHF patients. Aimed to investigate this deficiency, fecal samples from 29 patients diagnosed with NYHA Class III-IV 30 healthy controls were collected then analyzed using bacterial 16S rRNA gene...
Abstract Circular RNAs (circRNAs) are a class of structurally stable endogenous noncoding RNA molecules. Increasing studies indicate that circRNAs play vital roles in human diseases. However, validating disease-related vivo is costly and time-consuming. A reliable effective computational method to identify circRNA–disease associations deserves further studies. In this study, we propose called RNMFLP combines robust nonnegative matrix factorization (RNMF) label propagation algorithm (LP)...
Exploring the relationship between circular RNA (circRNA) and disease is beneficial for revealing mechanisms of pathogenesis. However, a blind search all possible associations circRNAs diseases through biological experiments time-consuming. Although some prediction methods have been proposed, they still limitations. In this study, novel computational framework, called GATCL2CD, proposed to forecast unknown circRNA-disease (CDAs). First, we calculate Gaussian interactive profile kernel (GIP)...
Circular RNA (circRNA) is closely associated with human diseases. Accordingly, identifying the associations between diseases and circRNA can help in disease prevention, diagnosis treatment. Traditional methods are time consuming laborious. Meanwhile, computational models effectively predict potential circRNA-disease (CDAs), but restricted by limited data, resulting data high dimension imbalance. In this study, we propose a model based on automatically selected meta-path contrastive learning,...
Abstract Background The treatment of Triple-negative breast cancer (TNBC) has always been challenging due to its heterogeneity and the absence well-defined molecular targets. present study aims elucidate role protein-coding circRNAs in etiology carcinogenesis TNBC. Methods CircRNA expression data TNBC (GEO: GSE113230, GSE101123) were reanalyzed then circCAPG was selected for further study. To identify polypeptide-coding function circCAPG, a series experiments, such as Mass spectrometry...
Epicardial signaling and Rxra are required for expansion of the ventricular myocardial compact zone. Here, we examine Raldh2–/– Rxra–/– mouse embryos to investigate role retinoic acid (RA) in this developmental process. The heart phenotypes Raldh2 mutants very similar characterized by a prominent defect zone growth. Although RA activity is completely lost epicardium adjacent myocardium, not hearts, suggesting that epicardium/myocardium formation. We explored possibility RA-mediated target...
Oxidized low-density lipoprotein (ox-LDL) has been well-documented to induce endothelial cell (EC) apoptosis and contribute the progression of atherosclerosis. Kaempferol was reported alleviate ox-LDL-induced human umbilical vein cells. However, detailed mechanism by which kaempferol alleviated EC remains largely elusive.The expression miR-26a-5p in aortic cells (HAECs) treated with either ox-LDL alone or combination detected qRT-PCR. Cell viability were assessed MTT assay flow cytometry,...
MicroRNAs (miRNAs) are closely related to a variety of human diseases, not only regulating gene expression, but also having an important role in life activities and being viable targets small molecule drugs for disease treatment. Current computational techniques predict the potential associations between miRNA that accurate. Here, we proposed new method based on deep autoencoder scalable tree boosting model (DAESTB), miRNA. First, constructed high-dimensional feature matrix by integrating...
Abstract The elucidation of gene regulatory networks (GRNs) is one the central challenges systems biology, which crucial for understanding pathogenesis and curing diseases. Various computational methods have been developed GRN inference, but identifying redundant regulation remains a fundamental problem. Although considering topological properties edge importance measures simultaneously can identify reduce regulations, how to address their respective weaknesses whilst leveraging strengths...
Exploring simple and efficient computational methods for drug repositioning has emerged as a popular compelling topic in the realm of comprehensive development. The crux this technology lies identifying potential drug-disease associations, which can effectively mitigate burdens caused by exorbitant costs lengthy periods conventional drugs However, current face challenges accurately predicting associations. These include only considering diseases to construct heterogeneous graph without...