A5100410894- Cancer-related molecular mechanisms research
- RNA modifications and cancer
- MicroRNA in disease regulation
- Circular RNAs in diseases
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- Computational Drug Discovery Methods
- Blind Source Separation Techniques
- Plant Reproductive Biology
- Plant Molecular Biology Research
- Bioinformatics and Genomic Networks
- EEG and Brain-Computer Interfaces
- Metabolomics and Mass Spectrometry Studies
- Monoclonal and Polyclonal Antibodies Research
- RNA regulation and disease
- Advanced Electron Microscopy Techniques and Applications
- Advanced Algorithms and Applications
- vaccines and immunoinformatics approaches
- Neural Networks and Applications
- Genomics and Phylogenetic Studies
- Ferroptosis and cancer prognosis
- Electron and X-Ray Spectroscopy Techniques
- Cancer-related gene regulation
- Advanced X-ray Imaging Techniques
Hebei University of Technology
2012-2024
Lanzhou University
2022-2024
Sichuan University
2015-2024
West China Hospital of Sichuan University
2024
Second Affiliated Hospital of Fujian Medical University
2020-2024
Fujian Medical University
2020-2024
China Astronaut Research and Training Center
2021-2023
China Medical University
2022
Fudan University Shanghai Cancer Center
2022
Fourth Affiliated Hospital of China Medical University
2022
Comprehensive databases of microRNA-disease associations are continuously demanded in biomedical researches. The recently launched version 3.0 Human MicroRNA Disease Database (HMDD v3.0) manually collects a significant number miRNA-disease association entries from literature. Comparing to HMDD v2.0, this new contains 2-fold more entries. Besides, the have been accurately classified based on literature-derived evidence code, which results six generalized categories (genetics, epigenetics,...
Abstract Background Circular RNAs (circRNAs) have been found to play critical roles in the development and progression of various cancers. However, little is known about effects circular RNA network on glioblastoma multiforme (GBM). Methods A microarray was used screen circRNA expression GBM. Quantitative real-time PCR detect circMMP9. GBM cells were transfected with a circMMP9 overexpression vector or siRNA, cell proliferation, migration invasion, as well tumorigenesis nude mice, assessed...
The microbiota living in the human body has critical impacts on our health and disease, but a systems understanding of its relationships with disease remains limited. Here, we use large-scale text mining-based manually curated microbe–disease association data set to construct microbe-based network investigate between microbes genes, symptoms, chemical fragments drugs. We reveal that loops are significantly coherent. Microbe-based connections have strong overlaps those constructed by...
With the rapid accumulation of high-throughput microRNA (miRNA) expression profile, up-to-date resource for analyzing functional and disease associations miRNAs is increasingly demanded. We here describe updated server TAM 2.0 miRNA set enrichment analysis. Through manual curation over 9000 papers, a more than two-fold growth reference sets has been achieved in comparison with previous TAM, which covers 9945 1584 newly collected miRNA-disease miRNA-function associations, respectively....
Mechanical stimulation plays an important role in bone remodeling. Exercise-induced mechanical loading enhances strength, whereas unloading leads to loss. Increasing evidence has demonstrated that long noncoding RNAs (lncRNAs) play key roles diverse biological, physiological and pathological contexts. However, the of lncRNAs mechanotransduction their relationships with formation remain unknown. In this study, we screened mechanosensing osteoblasts identified Neat1, most clearly decreased...
// Hai-qian Liang 1, * , Ren-jie Wang Cai-feng Diao 2 Jian-wei Li 1 Jing-liang Su Sai Zhang Department of Neurosurgery, Pingjin Hospital, Logistics College Armed Police Forces, Tianjin, China, 300162 Tianjin Saier-Biological Technology Company, 300353 These authors have contributed equally to this work Correspondence to: Liang, e-mail: lianghaiqian711@163.com Zhang, zhangsai718@vip.126.com Keywords: miRNAs, PTTG1, p53, pituitary tumor Received: May 21, 2015 ...
Abstract 5-methylcytosine (m5C) is a common nucleobase modification, and recent investigations have indicated its prevalence in cellular RNAs including mRNA, tRNA rRNA. With the rapid accumulation of m5C sites data, it becomes not only feasible but also important to build an accurate model predict silico . For this purpose, here, we developed web-server named RNAm5Cfinder based on RNA sequence features machine learning method eight tissue/cell types from mouse human. We confirmed accuracy...
MicroRNAs (miRNAs) are one class of important small non-coding RNA molecules and play critical roles in health disease. Therefore, it is necessary to evaluate the functional relationship miRNAs then predict novel miRNA-disease associations. For this purpose, here we developed updated web server MISIM (miRNA similarity) v2.0. Besides a 3-fold increase data content compared with v1.0, v2.0 improved original algorithm by implementing both positive negative That is, scores could be or negative,...
Abstract Background Targeted drugs are the main methods of RCC treatment. However, drug resistance is common in patients, in-depth study drug-resistant mechanism essential. Methods We constructed sunitinib resistant and Twist overexpressed A498 cells, studied its mechanisms vitro vivo. Results In cell research, we found that either or overexpression can activate Wnt/β-catenin EMT signaling pathway, may work through β-catenin/TWIST/TCF4 trimer. zebrafish confirmed similarity resistance,...
Long noncoding RNAs (lncRNAs) play important roles in human diseases including vascular disease. Given the large number of lncRNAs, however, whether majority them are associated with disease remains unknown. For this purpose, here we present a genomic location based bioinformatics method to predict lncRNAs We applied presented globally screen potentially involved As result, predicted 3043 putative lncRNAs. To test accuracy method, selected 10 be implicated proliferation and migration smooth...
The aberrant expression of PSMD10 has important functions in various malignancies. This study showed that was highly expressed and inversely correlated with the miR‐605 intrahepatic cholangiocarcinoma (ICC) specimens. MiR‐605 directly targeted repressed expression. In addition, over‐expression inhibited ICC cell progression both vitro vivo. effect on cells similar to knock‐down by RNAi. Moreover, restoration could reverse phenotypic alteration caused cells. These results suggest a new...
A series of miRNA-disease association prediction methods have been proposed to prioritize potential disease-associated miRNAs. Independent benchmarking these is warranted assess their effectiveness and robustness.Based on more than 8000 novel associations from the latest HMDD v3.1 database, we perform systematic comparison among 36 readily available methods. Their overall performances are evaluated with rigorous precision-recall curve analysis, where 13 show acceptable accuracy (AUPRC >...
Bone marrow mesenchymal stem cell (BMSC) osteogenic differentiation and osteoblast function play critical roles in bone formation, which is a highly regulated process. Long noncoding RNAs (lncRNAs) perform diverse functions variety of biological processes, including BMSC differentiation. Although several studies have reported that HOX transcript antisense RNA (HOTAIR) involved differentiation, its effect on formation vivo remains unclear. Here, by constructing transgenic mice with...
Numerous studies on discovering the roles of long non-coding RNAs (lncRNAs) in occurrence, development and prognosis progresses various human diseases have drawn substantial attentions. Since only a tiny portion lncRNA-disease associations been properly annotated, an increasing number computational methods proposed for predicting potential associations. However, traditional models lack ability to precisely extract features biomolecules, it is urgent find model which can identify with both...
Interest in the biological roles of long noncoding RNAs (lncRNAs) has resulted growing numbers studies that produce large sets candidate genes, for example, differentially expressed between two conditions. For protein-coding ontology and pathway analyses are powerful tools generating new insights from statistical enrichment gene features. Here we present LnCompare web server, an equivalent resource studying properties lncRNA sets. The Gene Set Feature Comparison mode tests amongst a panel...
Abstract Introduction: Neoadjuvant chemotherapy (NAC) plays an important role in downgrading preoperative tumor size, providing information on regimen activity, and increases treatment efficacy breast cancer patients. An increasing number of patients have sought Traditional Chinese Medicine (TCM) during NAC to relieve discomfort, regulate immune function, improve survival. However, limited evidence is available how concurrent TCM combined with affects response. This study aims assess the...
Abstract The microbiota colonized on human body is renowned as “a forgotten organ” due to its big impacts health and disease. Recently, microbiome studies have identified a large number of microbes differentially regulated in variety conditions, such disease diet. However, methods for discovering biological patterns the are still limited. For this purpose, here, we developed web-based tool named MicroPattern discover list microbes. In addition, implemented integrated an algorithm previously...
Abstract Background The interactions between proteins and aptamers are prevalent in organisms play an important role various life activities. Thanks to the rapid accumulation of protein-aptamer interaction data, it is necessary feasible construct accurate effective computational model predict binding certain interested interactions, which beneficial for understanding mechanisms improving aptamer-based therapies. Results In this study, a novel web server named PPAI developed with key sequence...
Vascular remodeling is a prominent trait during the development of hypertension, attributable to phenotypic transition vascular smooth muscle cells (VSMCs). Increasing studies demonstrate that microRNA plays an important role in this process. Here, we surprisingly found cell-specific miR-214 knockout (miR-214 cKO) significantly alleviates angiotensin II (Ang II)-induced which has same effect as global mice response Ang stimulation. Under treatment II, cKO exhibit substantially reduced...
Introduction: MicroRNAs (miRNAs) are a class of non-coding RNA molecules that play crucial role in the regulation diverse biological processes across various organisms. Despite not encoding proteins, miRNAs have been found to significant implications onset and progression complex human diseases. Methods: Conventional methods for miRNA functional enrichment analysis certain limitations, we proposed novel method called MiRNA Set Enrichment Analysis based on Multi-source Heterogeneous...
Electrical capacitance tomography (ECT) image reconstruction is a typical ill-posed problem. Successful applications of ECT depend greatly on the precision and speed algorithms. In this paper, an method based RBF Neural Network proposed. Using measurement data obtained from simulation software developed, reconstructed images were obtained. The proposed was verified through flow patters reconstruction. results show that effective approach to solve for ECT, which faster more accurate compared...
The A-star algorithm is an efficient classical for solving the shortest path problem. efficiency of depends on evaluation function, which used to estimate heuristic value from current vertex target. When coordinates are known, usually generated by distance. In this paper, we present Index Based A-Star (IBAS), aims solve problem in a weighted directed acyclic graph with unknown coordinates. This paper constructs three indexes each vertex, i.e., earliest arrival index, reverse and latest...