A5100358972- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Circular RNAs in diseases
- Bioinformatics and Genomic Networks
- Single-cell and spatial transcriptomics
- RNA modifications and cancer
- Gene expression and cancer classification
- Machine Learning in Bioinformatics
- Orbital Angular Momentum in Optics
- Advanced biosensing and bioanalysis techniques
- Cancer, Hypoxia, and Metabolism
- Optical Wireless Communication Technologies
- Cancer, Stress, Anesthesia, and Immune Response
- Cell Image Analysis Techniques
- Computational Drug Discovery Methods
- Signaling Pathways in Disease
- Cancer Mechanisms and Therapy
- RNA and protein synthesis mechanisms
- Helicobacter pylori-related gastroenterology studies
- Cancer, Lipids, and Metabolism
- Cancer Research and Treatments
- Chromatin Remodeling and Cancer
- Numerical methods in inverse problems
- Influenza Virus Research Studies
- Gene Regulatory Network Analysis
Chongqing University of Technology
2023-2025
Jiangnan University
2015-2025
Shanghai Tenth People's Hospital
2025
Chengdu Third People's Hospital
2025
Southwest Jiaotong University
2025
Henan University of Traditional Chinese Medicine
2024
Fudan University Shanghai Cancer Center
2024
Shanghai Medical College of Fudan University
2024
Fuyang Second People's Hospital
2024
Air Force Medical University
2007-2024
Cardiac hypertrophy is accompanied by maladaptive cardiac remodeling, which leads to heart failure or sudden death. MicroRNAs (miRNAs) are a class of small, noncoding RNAs that mediate posttranscriptional gene silencing. Recent studies show miRNAs involved in the pathogenesis hypertrophy, but their signaling regulations remain be understood. Here, we report miR-23a pro-hypertrophic miRNA, and its expression regulated transcription factor, nuclear factor activated T cells (NFATc3). The...
GC pairs are generally more stable than AT pairs; GC-rich genomes were proposed to be adapted high temperatures AT-rich genomes. Previous studies consistently showed positive correlations between growth temperature and the contents of structural RNA genes. However, for whole genome sequences silent sites codons in protein-coding genes, relationship content is a long-lasting debate.
Background MicroRNAs (miRNAs) are a class of endogenously expressed, small noncoding RNAs, which suppress its target mRNAs at the post-transcriptional level. Studies have demonstrated that miR-34a, is direct p53 tumor suppressor gene, functions as and associated with growth metastasis various human malignances. However, role miR-34a in osteosarcoma has not been totally elucidated. In present study, effects on possible mechanism by affected were investigated. Methodology/Principal Finding...
Breast cancer is the most commonly malignancies in women. MicroRNAs are a family of small non-coding RNAs 18–25 nucleotides length that post-transcriptionally modulate gene expression. MiR-26a has been reported as tumor suppressor microRNA breast cancer, which attributed mainly to targeting MTDH and EZH2, however, expression profile therapeutic potential miR-26a still unclear. Here we demonstrate down-regulated cells clinical specimens its modulation regulates cell proliferation, colony...
MicroRNAs (miRNAs) have been documented as playing important roles in cancer development. In this study, we investigated the role of miR-124 breast and clarified regulation flotillin-1 (FLOT1) by miR-124.The expression levels were examined cell lines patient specimens using quantitative reverse transcription-PCR. The clinicopathological significance resultant data was later analyzed. Next, explored function to determine its potential on growth migration vitro. A luciferase reporter assay...
miR-26, a functional miRNA, has received much attention from researchers in recent years. miRNAs may play crucial roles numerous biological processes such as cell proliferation, apoptosis, tumorigenesis at different stages of non-tumor diseases, growth and development normal tissues, other processes. The expression miR-26 been found to be specific Furthermore, its is frequently abnormal tumors, indicating that significant tumor formation. Various reports exist regarding involvement well the...
Recurrence and metastasis result in a poor prognosis for breast cancer patients. Recent studies have demonstrated that microRNAs (miRNAs) play vital roles the development of cancer. In this study, we investigated therapeutic potential miR-34a We found is downregulated cell lines tissues, compared with normal adjacent nontumor respectively. To explore miR-34a, designed targeted expression plasmid (T-VISA-miR-34a) using T-VISA system, evaluated its antitumor effects, efficacy, mechanism...
The photocatalytic fuel cell (PFC) provides an elegant approach for the construction of a light-induced self-powered sensing platform. Nevertheless, quantification target with single output signal in ordinary PFC-based sensor is easily affected by variation light intensity and other environmental factors. Herein we propose ratiometric aptasensor highly selective detection 17β-estradiol (E2) based on dual-channel PFC constructed two photoanodes which could effectively avoid fluctuation...
A light source plays a pivotal role in photofuel cell (PFC)-based self-powered biosensor. Although visible has been extensively employed to drive PFC, it still some drawbacks for biosensing due its relatively high energy. Herein we constructed PFC-based aptasensor using near-infrared (NIR) as the irradiation source. To achieve an efficient absorption of NIR light, NaYF4:Yb,Er upconversion nanoparticles (UCNPs) that could convert low-energy incident into high-energy radiation were combined...
Studies have confirmed that the occurrence of many complex diseases in human body is closely related to microbial community, and microbes can affect tumorigenesis metastasis by regulating tumor microenvironment. However, there are still large gaps clinical observation microbiota disease. Although biological experiments accurate identifying disease-associated microbes, they also time-consuming expensive. The computational models for effective identification shorten this process, reduce...
// Wuyuan Zhou 1 , Benkui Zou 2 Lisheng Liu 3 Kai Cui Jie Gao Shuanghu Yuan 4 Ning Cong 5 Department of Hepatobillary Surgery, Shandong Cancer Hospital, Jinan, 250117, P.R. China Urology Clinical Laboratory, Radiation Oncology, Intervention Therapy, Correspondence to: Cong, email: doctorcongning@qq.com Keywords: hepatocellular carcinoma, microRNA-98, tumor suppressor, SALL4 Received: June 22, 2016 Accepted: August 16, Published: September ABSTRACT MicroRNAs (miRs) are involved in the...
246 Background: Regimen of metastatic colon cancer (mCOAD) is moving towards combination immune checkpoint inhibitors (ICBs) and targeted therapy, however ICBs are rarely effective in MSI-L cancers, limiting options for backline treatments, new therapy on demand to improve immunogenicity mCOAD. As targeting fatty acid metabolism or cell cycle has shown potential improving the efficacy ICBs, our team focused CTMP, a thioesterase (ACOT) family member, mainly modulates β oxidation, meanwhile it...
With the rapid advancement of sequencing technology, increasing availability single-cell multi-omics data from same cells has provided us with unprecedented opportunities to understand cellular phenotypes. Integrating potential enhance ability reveal heterogeneity. However, integration analysis is extremely challenging due different characteristics and noise levels molecular modalities in data. In this paper, an unsupervised method (JSNMFuP) based on non-negative matrix factorization...
Abstract Motivation Spatial transcriptomics addresses the loss of spatial context in scRNA-seq by simultaneously capturing gene expression and location information. A critical task is identification domains. However, challenges such as high noise levels data sparsity make process more difficult. Results To tackle these challenges, STMGAMF, a multi-view graph convolutional network model that employs an adaptive adjacency matrix multi-strategy fusion mechanism proposed. STMGAMF dynamically...
We analyze the effects of turbulence on detection probability spectrum and mode weight orbital angular momentum (OAM) for Whittaker-Gaussian (WG) laser beams in weak non-Kolmogorov channels. Our numerical results show that WG beam is a better light source mitigating with several adjustable parameters. The real parameters γ W0, which have significant weight, no influence spectrum. Larger signal OAM quantum number, shorter wavelength, smaller beamwidth coherence length will lead to lower mode.