A5100654854- COVID-19 Clinical Research Studies
- Atmospheric chemistry and aerosols
- Single-cell and spatial transcriptomics
- Spectroscopy and Laser Applications
- Atmospheric Ozone and Climate
- Monoclonal and Polyclonal Antibodies Research
- vaccines and immunoinformatics approaches
- Long-Term Effects of COVID-19
- SARS-CoV-2 and COVID-19 Research
- Cell Image Analysis Techniques
- RNA modifications and cancer
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Advanced Biosensing Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Gene expression and cancer classification
- Video Surveillance and Tracking Methods
- Computational Drug Discovery Methods
- Advanced Chemical Physics Studies
- Advanced biosensing and bioanalysis techniques
- Oxidative Organic Chemistry Reactions
- Chronic Lymphocytic Leukemia Research
- AI in cancer detection
- RNA Research and Splicing
Tencent (China)
2022-2025
University of Michigan
2019-2024
Dalian Minzu University
2022-2024
Chengdu Normal University
2015-2024
Agricultural Genomics Institute at Shenzhen
2024
Chinese Academy of Agricultural Sciences
2024
Ministry of Agriculture and Rural Affairs
2024
China Pharmaceutical University
2019-2024
Indiana University
2024
Indiana University – Purdue University Indianapolis
2023-2024
Emerging evidence indicates that osteoclasts direct osteoblastic bone formation. MicroRNAs (miRNAs) have a crucial role in regulating osteoclast and osteoblast function. However, whether miRNAs mediate osteoclast-directed formation is mostly unknown. Here, we show increased osteoclastic miR-214-3p associates with both elevated serum exosomal reduced elderly women fractures ovariectomized (OVX) mice. Osteoclast-specific knock-in mice rescued by osteoclast-targeted antagomir-214-3p treatment....
For some SARS-CoV-2 survivors, recovery from the acute phase of infection has been grueling with lingering effects. Many symptoms characterized as post-acute sequelae COVID-19 (PASC) could have multiple causes or are similarly seen in non-COVID patients. Accurate identification PASC phenotypes will be important to guide future research and help healthcare system focus its efforts resources on adequately controlled age- gender-specific a infection.In this retrospective electronic health...
Wearable fiber-shaped electronic devices have drawn abundant attention in scientific research fields, and tremendous efforts are dedicated to the development of various that possess sufficient flexibility. However, most studies suffer from persistent limitations fabrication cost, efficiency, preparation procedure, scalability impede their practical application flexible wearable fields. In this study, a simple, low-cost 3D printing method capable high manufacturing scalability, complexity...
Abstract Single-cell RNA sequencing technology has enabled in-depth analysis of intercellular heterogeneity in various diseases. However, its full potential for precision medicine yet to be reached. Towards this, we propose A Guided Pipeline Aid Repurposing Drugs (ASGARD) that defines a drug score recommend drugs by considering all cell clusters address the within each patient. ASGARD shows significantly better average accuracy on single-drug therapy compared two bulk-cell-based repurposing...
Abstract Pre-trained large language models demonstrate potential in extracting information from DNA sequences, yet adapting to a variety of tasks and data modalities remains challenge. To address this, we propose DNAGPT, generalized pre-training model trained on over 200 billion base pairs all mammals. By enhancing the classic GPT with binary classification task (DNA sequence order), numerical regression (guanine-cytosine content prediction), comprehensive token language, DNAGPT can handle...
Artificial Intelligence (AI) techniques have made great advances in assisting antibody design. However, design still heavily relies on isolating antigen-specific antibodies from serum, which is a resource-intensive and time-consuming process. To address this issue, we propose Pre-trained Antibody generative large Language Model (PALM-H3) for the de novo generation of artificial heavy chain complementarity-determining region 3 (CDRH3) with desired antigen-binding specificity, reducing...
Developmental phenotypic changes can evolve under selection imposed by age- and size-related ecological differences. Many of these occur through programmed alterations to gene expression patterns, but the molecular mechanisms gene-regulatory networks underlying adaptive remain poorly understood. venomous snakes, including eastern diamondback rattlesnake ( Crotalus adamanteus ), undergo correlated in diet venom as snakes grow larger with age, providing models for identifying timed that...
Chronic lymphocytic leukemia (CLL) is a clonal B cell disorder of unknown origin. Accessory signals from the microenvironment are critical for survival, expansion, and progression malignant cells. We found that CLL stroma included microvascular endothelial cells (MVECs) expressing BAFF APRIL, two TNF family members related to T cell-associated cell-stimulating molecule CD40L. Constitutive release soluble APRIL increased upon engagement CD40 on MVECs by CD40L aberrantly expressed In addition...
Previous expression quantitative trait loci (eQTL) studies have identified thousands of genetic variants to be associated with gene at the mRNA level in human liver. However, protein often correlates poorly levels. Thus, (pQTL) study is required identify that regulate livers.
Structural docking between the adaptive immune receptors (AIRs), including T cell (TCRs) and B (BCRs), their cognate antigens are one of most fundamental processes in immunity. However, current methods for predicting AIR-antigen binding largely rely on sequence-derived features AIRs, omitting structure that essential affinity. In this study, we present a deep learning framework, termed DeepAIR, accurate prediction by integrating both sequence AIRs. DeepAIR achieves Pearson's correlation...