A5076976690- RNA modifications and cancer
- Cancer-related molecular mechanisms research
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Bacteriophages and microbial interactions
- SARS-CoV-2 and COVID-19 Research
- Cancer-related Molecular Pathways
- Cell Image Analysis Techniques
- Gene expression and cancer classification
- SARS-CoV-2 detection and testing
- Cancer, Hypoxia, and Metabolism
- Extracellular vesicles in disease
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Histone Deacetylase Inhibitors Research
- Ferroptosis and cancer prognosis
- Cancer, Lipids, and Metabolism
- Vacuum and Plasma Arcs
- Software-Defined Networks and 5G
- Cancer Research and Treatments
- Welding Techniques and Residual Stresses
- Metal and Thin Film Mechanics
- Sustainable Supply Chain Management
- Cancer Genomics and Diagnostics
- Nerve injury and regeneration
University of Chinese Academy of Sciences
2020-2024
Chinese Academy of Sciences
2020-2024
Beijing Institute of Genomics
2020-2024
Shanghai Center For Bioinformation Technology
2020-2024
Weifang People's Hospital
2024
Shandong Institute of Automation
2023
Hebei University of Science and Technology
2022
Lanzhou University of Technology
2022
Institute of Automation
2022
Jilin University
2019
Abstract The National Genomics Data Center (NGDC), part of the China for Bioinformation (CNCB), provides a suite database resources to support worldwide research activities in both academia and industry. With explosive growth multi-omics data, CNCB-NGDC is continually expanding, updating enriching its core through big data deposition, integration translation. In past year, considerable efforts have been devoted 2019nCoVR, newly established resource providing global landscape SARS-CoV-2...
Abstract Expression profiles of long non-coding RNAs (lncRNAs) across diverse biological conditions provide significant insights into their functions, interacting targets as well transcriptional reliability. However, there lacks a comprehensive resource that systematically characterizes the expression landscape human lncRNAs by integrating wide range conditions. Here, we present LncExpDB (https://bigd.big.ac.cn/lncexpdb), an database is devoted to providing lncRNA genes, exploring features...
LncRNAWiki, a knowledgebase of human long non-coding RNAs (lncRNAs), has been rapidly expanded by incorporating more experimentally validated lncRNAs. Since it was built based on MediaWiki as its database system, fails to manage data in structured way and is ineffective support systematic exploration Here we present LncRNAWiki 2.0 (https://ngdc.cncb.ac.cn/lncrnawiki), which significantly improved with enhanced system curation model. In 2.0, all contents are organized manner powered...
Brain is the central organ of nervous system and any brain disease can seriously affect human health. Here we present BrainBase (https://ngdc.cncb.ac.cn/brainbase), a curated knowledgebase for diseases that aims to provide whole picture associated genes. Specifically, based on manual curation 2768 published articles along with information retrieval from several public databases, features comprehensive collection 7175 disease-gene associations spanning total 123 linking 5662 genes, 16 591...
Distant metastasis frequently occurs in oral squamous cell carcinoma (OSCC) and contributes to the adverse prognosis for patients with OSCC. However, potential mechanisms behind have not yet been clarified. This study investigated role of miR-378 migration invasiveness OSCC vitro vivo. According our results, cells were increased overexpressing miR-378, reduced where miR-378-3p/5p was silenced. In addition, overexpression suppressed expressions activities matrix metalloproteinase 9 (MMP-9)...
In order to meet customers’ demand for freshness and the time window of fresh product distribution, achieve sustainable development cold-chain logistics industry, green technology is used solve optimization problem distribution path a variety products, taking transportation, refrigeration, carbon emission cost as objective functions. A hybrid particle swarm (HPSO) algorithm was designed this with minimum requirement different kinds distribution. The results show that when each 75%, total...
COVID-19 and its causative pathogen SARS-CoV-2 have rushed the world into a staggering pandemic in few months, global fight against both has been intensifying. Here, we describe an analysis procedure where genome composition variables are related, through genetic code to molecular mechanisms, based on understanding of RNA replication feedback loop from mutation viral proteome sequence fraternity including effective sites replicase-transcriptase complex. Our starts with primary information,...
Abstract Oral squamous cell carcinoma (OSCC) is one of the most common types head and neck neoplasm. Down‐regulation hsa‐microRNA‐378 (miR‐378) has been proved in OSCC tissues, suggesting that miR‐378 might play crucial roles progression OSCC. The present study aimed to evaluate effect miR‐378‐3p/5p on proliferation apoptosis vitro vivo. According results, lentivirus‐mediated overexpression lowered colony formation efficiency, blocked cycle progression, decreased percentage Ki‐67 positive...
Abstract The mechanism underlying visceral pain is still largely unclear. Recently, much attention has focused on a potential modulatory role of brain‐derived neurotrophic factor (BDNF) in pain. In the present study, we investigated expression BDNF dorsal root ganglia (DRG) primary sensory neurons and its colorectal distention (CRD)‐induced model Results obtained from enzyme‐linked immunosorbant assay (ELISA) revealed that protein was upregulated after CRD. An abdominal withdrawal reflex...
Limitations of bulk sequencing techniques on cell heterogeneity and diversity analysis have been pushed with the development single-cell RNA-sequencing (scRNA-seq). To detect clusters cells is a key step in scRNA-seq. However, high-dimensionality scRNA-seq data imbalances number different subcellular types are ubiquitous real sets, which poses huge challenge to single-cell-type detection.We propose meta-learning-based model, SiaClust, combination Siamese Convolutional Neural Network (CNN)...
Acute myeloid leukemia (AML) is a molecularly heterogeneous disease that accounts for approximately 25% of childhood cases. In this study, we aimed to identify survival-associated genes in pediatric AML patients and investigate potential immunotherapy targets.After retrieving processing the data from Gene Expression Omnibus (GEO) web resource, determined hub AML. Bioinformatics technology was applied key perform functional analysis. Finally, investigated correlation between gene infiltration...
Background:Acute myeloid leukemia (AML) is a molecularly heterogeneous disease that accounts for approximately 25% of childhood cases. In this study, we purposed to identify survival-associated genes in pediatric AML patients and investigate potential immunotherapy targets. Methods: After retrieving processing the data from Gene Expression Omnibus (GEO) web resource, determined hub by differentially expressed (DEGs) assessment weighted correlation network analysis (WGCNA). The prognostic...
Categorizing cells into distinct types can shed light on biological tissue functions and interactions, uncover specific mechanisms under pathological conditions. Since gene expression throughout a population of is averaged out by conventional sequencing techniques, it challenging to distinguish between different cell types. The accumulation single-cell RNA (scRNA-seq) data provides the foundation for more precise classification It crucial building high-accuracy clustering approach categorize...
Abstract COVID-19 and its causative pathogen SARS-CoV-2 have rushed the world into a staggering pandemic in few months global fight against both is still going on. Here, we describe an analysis procedure where genome composition variables are related, through genetic code, to molecular mechanisms based on understanding of RNA replication feedback loop from mutation viral proteome sequence fraternity including effective sites replicase-transcriptase complex. Our starts with primary...
Abstract An accurate assessment of TP53 ’s functional status is critical for cancer genomic medicine. However, there a significant challenge in identifying tumors with non-mutational p53 inactivations that are not detectable through DNA sequencing. These undetected cases often misclassified as p53-normal, leading to inaccurate prognosis and downstream association analyses. To address this issue, we build the support vector machine (SVM) models systematically reassess p53’s wild-type ( WT )...