A5062028300- RNA modifications and cancer
- Cancer Immunotherapy and Biomarkers
- Epigenetics and DNA Methylation
- Superconducting Materials and Applications
- Immune cells in cancer
- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
- Cancer-related gene regulation
- Shape Memory Alloy Transformations
- Histone Deacetylase Inhibitors Research
- Cancer-related molecular mechanisms research
- Electric Motor Design and Analysis
- Magnetic Properties and Applications
- RNA Research and Splicing
- HVDC Systems and Fault Protection
- Radiomics and Machine Learning in Medical Imaging
- Protein Degradation and Inhibitors
- RNA and protein synthesis mechanisms
- Lung Cancer Research Studies
- Ferroptosis and cancer prognosis
- Physics of Superconductivity and Magnetism
- Genomics and Chromatin Dynamics
- Global Cancer Incidence and Screening
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Chinese Academy of Medical Sciences & Peking Union Medical College
2017-2025
Sir Run Run Shaw Hospital
2022-2025
Zhejiang University
2022-2025
Huazhong University of Science and Technology
2013-2024
University of Science and Technology Beijing
2018-2024
Nanjing Forestry University
2024
State Key Laboratory of Tree Genetics and Breeding
2024
Nanjing Medical University
2024
Union Hospital
2022-2023
Lanzhou University
2020-2023
Natural killer (NK) cells, the effectors of innate immune system, have a remarkable influence on cancer prognosis and immunotherapy. In this study, total 1,816 samples from nine independent cohorts in public datasets were enrolled. We first conducted comprehensive analysis single-cell RNA-sequencing data lung adenocarcinoma (LUAD) Gene Expression Omnibus (GEO) database determined 189 NK cell marker genes. Subsequently, we developed seven-gene prognostic signature based genes TCGA LUAD...
Abstract Small-cell lung cancer (SCLC) is the most aggressive and lethal subtype of cancer, for which, better understandings its biology are urgently needed. Single-cell sequencing technologies provide an opportunity to profile individual cells within tumor microenvironment (TME) investigate their roles in tumorigenic processes. Here, we performed high-precision single-cell transcriptomic analysis ~5000 from primary tumors (PTs) matched normal adjacent tissues (NATs) 11 SCLC patients,...
Background Esophageal squamous cell carcinoma (ESCC) is one of the most common cancer types and represents a threat to global public health. N6-Methyladenosine (m6A) methylation plays key role in occurrence development many tumors, but there are still few studies investigating ESCC. This study attempts construct prognostic signature ESCC based on m6A RNA regulators explore potential association these with tumor immune microenvironment (TIME). Methods The transcriptome sequencing data...
Background —Aortic aneurysms cause significant mortality, and >20% relate to hereditary disorders. Familial aortic aneurysm (FAA) has been described in such conditions as the Marfan Ehlers-Danlos type IV syndromes, due defects fibrillin-1 III procollagen genes, respectively. Other gene that isolated aneurysms, however, have not thus far described. Methods Results —We studied 3 families affected by FAA. No family met diagnostic criteria for either or syndrome. Echocardiography defined...
Antithrombosis therapy is confronted with short half-lives of thrombolytic agents, limited therapeutic effects, and bleeding complications. Drug delivery systems agents face challenges in effective penetration into thrombi, which are characterized by well-organized fibrin filled abundant activated platelets. Herein, Janus rod (JR)-shaped micromotors constructed side-by-side electrospinning cryosection, possessing advantages controlling the structure aspect ratio microrods. Silicon...
Offshore wind generation is an important trend of global power generation. To reduce the cost energy offshore generation, high-power direct-drive turbines are being pursued around world. With development superconductors and related technologies, superconducting (SC) generator offers a possible technological approach to produce large-scale with modest cost. A design SC (SCWG) for presented in this paper. The proposed SCWG electrically-excited synchronous stationary field windings made low...
As important modulators of gene expression, microRNAs (miRNAs) have been identified as promising biomarkers with powerful predictive value in diagnosis and prognosis for several diseases, especially cancers.Here we report a facile, multiple sensitive miRNA detection method that uses conventional gel electrophoresis catalytic hairpin assembly (CHA) system without any complex nanomaterials or enzymatic amplification.Methods: In this study, three pairs probes are rationally designed...
Purpose The aim of this study is to investigate radiomics features extracted from the optimal peritumoral region and intratumoral area on early phase dynamic contrast-enhanced MRI (DCE-MRI) for predicting molecular subtypes invasive ductal breast carcinoma (IDBC). Methods A total 422 IDBC patients with immunohistochemical fluorescence in situ hybridization results two hospitals (Center 1: 327 cases, Center 2: 95 cases) who underwent preoperative DCE-MRI were retrospectively enrolled. After...
Plant tissue regeneration is critical for genetic transformation and genome editing techniques. During the process, changes in epigenetic modifications accompany cell fate transition. However, how allele-specific DNA methylation two haplotypes contributes to transcriptional dynamics during remains elusive. Here we applied an inter-species hybrid poplar (
Noncoding RNA(ncRNA) is closely related to drug resistance. Identifying the association between ncRNA and resistance of great significance for development. Methods based on biological experiments are often time-consuming small-scale. Therefore, developing computational methods distinguish urgent. We develop a framework called GSLRDA predict in this work. First, known ncRNA–drug associations modeled as bipartite graph drug. Then, uses light convolutional network (lightGCN) learn vector...