A5103034266- Cancer-related molecular mechanisms research
- Ferroptosis and cancer prognosis
- Plant biochemistry and biosynthesis
- Circular RNAs in diseases
- Immune cells in cancer
- Cancer, Lipids, and Metabolism
- Single-cell and spatial transcriptomics
- Cancer therapeutics and mechanisms
- Genomics and Phylogenetic Studies
- Molecular Biology Techniques and Applications
- Advanced Breast Cancer Therapies
- RNA modifications and cancer
- Influenza Virus Research Studies
- CRISPR and Genetic Engineering
- Plant Gene Expression Analysis
- Allergic Rhinitis and Sensitization
- Ubiquitin and proteasome pathways
- Ovarian cancer diagnosis and treatment
- Insect and Pesticide Research
- Biochemical and Structural Characterization
- Chemokine receptors and signaling
- RNA Research and Splicing
- Drug Transport and Resistance Mechanisms
- Adrenal and Paraganglionic Tumors
- Ginseng Biological Effects and Applications
Kunming University of Science and Technology
2016-2024
China Academy of Chinese Medical Sciences
2024
Shanghai Innovative Research Center of Traditional Chinese Medicine
2024
Zhejiang Chinese Medical University
2021-2024
University of Science and Technology
2022
Kunming University
2021
Guiyang Medical University
2018
Tsinghua University
2013-2015
Chinese Academy of Medical Sciences & Peking Union Medical College
2013-2015
Abstract Non-small cell lung cancer (NSCLC) is the most widely distributed tumor in world, and its immunotherapy not practical. Neutrophil one of a tumor’s abundant immune groups. This research aimed to investigate complex communication network microenvironment (TIME) NSCLC tumors clarify interaction between cells establish prognostic risk model that can predict response prognosis patients by analyzing characteristics differentiation. Integrated Single-cell RNA sequencing (scRNA-seq) data...
As a recycling center, lysosomes are filled with numerous acid hydrolase enzymes that break down waste materials and invading pathogens. Recently, lysosomal cell death has been defined as "lysosomal membrane permeabilization the consequent leakage of lysosome contents into cytosol." Here, we show neuraminidase (NA) H5N1 influenza A virus markedly deglycosylates degrades lysosome-associated proteins (LAMPs; most abundant lysosome), which induces rupture, finally leads to alveolar epithelial...
Ovarian cancer (OC) is one of the most common gynecological malignancies. It associated with a difficult diagnosis and poor prognosis. Our study aimed to analyze tumor stemness determine prognosis feature patients OC. At this job, we selected gene expression clinical profiles OC in TCGA database. We calculated index each patient using one-class logistic regression (OCLR) algorithm performed correlation analysis immune infiltration. used consensus clustering methods classify into different...
Abstract Background Allergic diseases typically refer to a heterogeneous group of conditions primarily caused by the activation mast cells or eosinophils, including atopic dermatitis (AD), allergic rhinitis (AR), and asthma. Asthma, AR, AD collectively affect approximately one‐fifth global population, imposing significant economic burden on society. Despite availability drugs treat diseases, they have been shown be insufficient in controlling relapses halting disease progression. Therefore,...
Triple negative breast cancer (TNBC) is a highly aggressive illness that lacks effective targeted treatments. Although Erianin has shown potential antitumor properties, its precise mechanism of action and target in TNBC remain unclear, hampering the development drugs. The present study investigated underlying treating by using transcriptomics network pharmacology approaches. We evaluated Erianinâs bioactivity cell lines xenograft tumor models. results showed significantly inhibited...
Transcription factors (TFs) have been shown to play a key role in the occurrence and development of tumors, including triple-negative breast cancer (TNBC), with worse prognosis. Machine learning is widely used for establishing prediction models screening tumor drivers. Current studies lack TF integration TNBC, so targeted research on prognostic drugs beneficial improve clinical translational application. The purpose this study was use Least Absolute Shrinkage Selection Operator build TFs...
Transcription factors (TFs) of plant-specific SHORT INTERNODES (SHI) family play a significant role in regulating development and metabolism plants. In Artemisia annua, various TFs from different families have been discovered to regulate the accumulation artemisinin. However, specific members SHI A. annua (AaSHIs) not identified biosynthesis
Currently, targeted therapy has shown encouraging treatment benefits in selected patients with advanced non-small cell lung cancer (NSCLC). However, the comparative of drugs and chemotherapy (CT) treatments unselected are not clear. We therefore conduct a network meta-analysis to assess relative efficacy safety these regimens.PubMed, EMBASE, Cochrane Library abstracts from major scientific meetings were searched for eligible literatures. The odds ratio (OR) objective response rate (ORR) was...
Objectives: The reprogramming of lipid metabolism is a new trait cancers. However, the role in tumor immune microenvironment (TIME) and prognosis gastric cancer remains unclear. Methods: Consensus clustering was applied to identify novel subgroups. ESTIMATE, TIMER, MCPcounter algorithms were used determine TIME underlying mechanisms elucidated using functional analysis. prognostic model established LASSO algorithm multivariate Cox regression Results: Three molecular subgroups with...
Objective of this paper is to excavate the siderophore synthesis gene from Brevibacillus brevis GZDF3 and verify its type antibacterial effects. The method using genome mining technology analyze genes phylogenetic tree each was constructed separately. Iron free medium utilized induce CAS liquid detection used for qualitative quantitative analysis on siderophore. preliminaries identified by Arnow effects were analyzed according agar punching method. results show that a cluster with 83%...
Background: Triple-negative breast cancer (TNBC) is characterized by fast tumor increase, rapid recurrence and natural metastasis. We aimed to identify a genetic signature for predicting the prognosis of TNBC. Materials & methods: conducted weighted correlation network analysis datasets from Gene Expression Omnibus. Multivariate Cox regression was used construct risk score model. Results: The multi-factor scoring model meaningfully associated with patients TBNC. predictive power demonstrated...