A5100325428- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Domain Adaptation and Few-Shot Learning
- Advanced Neural Network Applications
- Cancer-related molecular mechanisms research
- Electrocatalysts for Energy Conversion
- Vibrio bacteria research studies
- Multimodal Machine Learning Applications
- Microbial Community Ecology and Physiology
- Bacterial biofilms and quorum sensing
- Advanced Image and Video Retrieval Techniques
- Circular RNAs in diseases
- Aquaculture disease management and microbiota
- MicroRNA in disease regulation
- Advanced Mathematical Modeling in Engineering
- Epigenetics and DNA Methylation
- Gut microbiota and health
- RNA and protein synthesis mechanisms
- Mitochondrial Function and Pathology
- Marine and coastal ecosystems
- RNA Research and Splicing
- Molecular Biology Techniques and Applications
- Plant Gene Expression Analysis
- Plant biochemistry and biosynthesis
- Rare-earth and actinide compounds
Wuhan University
2022-2025
Guiyang Medical University
2025
Weifang Medical University
2025
Second Military Medical University
2025
Chinese Academy of Sciences
2014-2024
Xian Central Hospital
2024
University of Chinese Academy of Sciences
2015-2024
Jiangsu University of Science and Technology
2024
Jilin Academy of Agricultural Sciences
2024
Jilin Agricultural University
2024
Abstract Gene set enrichment (GSE) analysis plays an essential role in extracting biological insight from genome-scale experiments. ORA (overrepresentation analysis), FCS (functional class scoring), and PT (pathway topology) approaches are three generations of GSE methods along the timeline development. Previous versions KOBAS provided services based on just method. Here we presented version 3.0 KOBAS, which is named KOBAS-i (short for intelligent version). It introduced a novel machine...
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,...
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....
Detection transformer (DETR) relies on one-to-one assignment, assigning one ground-truth object to prediction, for end-to-end detection without NMS post-processing. It is known that one-to-many multiple predictions, succeeds in methods such as Faster R-CNN and FCOS. While the naive assignment does not work DETR, it remains challenging apply DETR training. In this paper, we introduce Group a simple yet efficient training approach introduces group-wise way assignment. This involves using...
Abstract The emergence of small open reading frame (sORF)-encoded peptides (SEPs) is rapidly expanding the known proteome at lower end size distribution. Here, we show that mitochondrial proteome, particularly respiratory chain, enriched for proteins. Using a prediction and validation pipeline SEPs, report discovery 16 endogenous nuclear encoded, mitochondrial-localized SEPs (mito-SEPs). Through functional prediction, proteomics, metabolomics metabolic flux modeling, demonstrate BRAWNIN, 71...
We design a Kernelized Few-shot Object Detector by leveraging kernelized matrices computed over multiple proposal regions, which yield expressive non-linear representations whose model complexity is learned on the fly. Our pipeline contains several modules. An Encoding Network encodes support and query images. Autocorrelation unit forms linear, polynomial RBF from features extracted within regions of These are then cross-correlated against image to obtain attention weights, generate via an...
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 RNA molecules harbor diverse modifications that play important regulatory roles in a variety of biological processes. Over 150 have been identified molecules. N6-methyladenosine (m6A) and 1-methyladenosine (m1A) are prevalent occurring various species mammals. Apart from the single methylation adenosine (m6A m1A), dual modification nucleobase adenosine, such as N6,N6-dimethyladenosine (m6,6A), also has reported to be present Whether there other forms than m6,6A remains elusive....
Abstract Background The aberrant expression of E3 ubiquitin ligase Pellino-1 (PELI1) contributes to several human cancer development and progression. However, its patterns functional importance in papillary thyroid (PTC) remains unknown. Methods PELI1 profiles PTC tissues were obtained analyzed through the starBase v3.0 analysis. Real-time PCR, Immunohistochemical assays (IHC) Western blot used investigate mRNA protein levels PTC. effects on cell progression evaluated CCK-8, colony...
Self-supervised learning (SSL) has made remarkable progress in visual representation learning. Some studies combine SSL with knowledge distillation (SSL-KD) to boost the performance of small models. In this study, we propose a Multi-mode Online Knowledge Distillation method (MOKD) self-supervised Different from existing SSL-KD methods that transfer static pre-trained teacher student, MOKD, two different models learn collaboratively manner. Specifically, MOKD consists modes: self-distillation...
Flesh color is one of the most important traits for commercial value peach fruit. To unravel underlying regulatory network in Prunus mira, we performed an integrated analysis transcriptome and metabolome 3 fruit types with various flesh pigmentations (milk-white, yellow blood) at developmental stages (pit-hardening, cell enlargement ripening).Transcriptome showed that intense transcriptional adjustment required transition from pit-hardening to stage. In contrast, few genes were...
Abstract KMT2C and KMT2D are the most frequently mutated epigenetic genes in human cancers. While is identified as a tumor suppressor acute myeloid leukemia (AML), role of remains unclear this disease, though its loss promotes B cell lymphoma various solid Here, it reported that downregulated or AML deficiency, through shRNA knockdown CRISPR/Cas9 editing, accelerates leukemogenesis mice. Hematopoietic stem progenitor cells with Kmt2d have significantly enhanced ribosome biogenesis...
N6-Methyladenosine (m6A) is one of the most abundant and prevalent natural modifications occurring in diverse RNA species. m6A plays a wide range roles physiological pathological processes. Revealing functions relies on faithful detection individual sites RNA. However, developing simple method for single-base resolution still challenging task. Herein, we report an adenosine deamination sequencing (AD-seq) technique facile at resolution. The AD-seq approach capitalizes selective adenosine,...
Epigenetic modifications in genomes play a crucial role regulating gene expression mammals. Among these modifications, 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) are recognized as the fifth sixth nucleobases genomes, respectively, two most significant epigenetic marks 5hmC serves both an intermediate active DNA demethylation stable modification involved various biological processes. Analyzing location of is essential for understanding its functions. In this study, we introduce...
To explore the clinical efficacy of small sub-eyebrow incision in severing corrugator supercilii muscle combined with autologous block fat transplantation for treating severe frown lines. Sixteen patients lines admitted to our hospital who refused receive repeated injections botulinum toxin were selected treatment through dissection transplantation. No had difficulty raising their eyebrows after surgery. They all a smooth eyebrow shape, no abnormal movement eyebrows, and tissue depression...
Open AccessCCS ChemistryCOMMUNICATIONS7 Feb 2025Whole-genome mapping of DNA hydroxymethylation at single-base resolution by double-stranded deamination sequencing Shan Zhang, Yuan Liang, Tian Feng, Xia Guo, Min Wang, Tong-Tong Ji, Jun Xiong, Xiao Xiao, Yu Liu, Yibin Weimin Ci, Neng-Bin Xie and Bi-Feng Zhang , Liang Feng Guo Wang Ji Xiong Liu Ci https://doi.org/10.31635/ccschem.025.202405023 SectionsSupplemental MaterialAboutPDF ToolsAdd to favoritesDownload CitationsTrack Citations...
Circular RNAs (circRNAs), characterized by their covalently closed-loop structures, constitute a distinct class of non-coding RNAs. They play pivotal regulatory roles within cells and are intricately associated with the progression malignant tumors. However, underlying mechanisms in nasopharyngeal carcinoma (NPC) have yet to be fully uncovered comprehensively understood. Employing RNA sequencing technology, high-abundance circular NPC were identified. Expression analysis circCLASP2 tissues...