A5100658319- Plant responses to elevated CO2
- Atmospheric chemistry and aerosols
- Tryptophan and brain disorders
- Stress Responses and Cortisol
- Plant Stress Responses and Tolerance
- Plant Water Relations and Carbon Dynamics
- Neuroinflammation and Neurodegeneration Mechanisms
- Liver Disease Diagnosis and Treatment
- Advanced Proteomics Techniques and Applications
- Neuropeptides and Animal Physiology
- Computational Drug Discovery Methods
- Metabolomics and Mass Spectrometry Studies
- Machine Learning in Bioinformatics
- Air Quality and Health Impacts
- CAR-T cell therapy research
- Receptor Mechanisms and Signaling
- Cancer Research and Treatments
- Crop Yield and Soil Fertility
- Cancer-related molecular mechanisms research
- Healthcare Systems and Reforms
- Acute Lymphoblastic Leukemia research
- Virus-based gene therapy research
- Wastewater Treatment and Nitrogen Removal
- Acute Myeloid Leukemia Research
- FOXO transcription factor regulation
Zhejiang University
2017-2025
Shenzhen Maternity and Child Healthcare Hospital
2022-2025
Army Medical University
2019-2025
Southwest Hospital
2025
Hebei Academy of Sciences
2019-2024
Hebei Science and Technology Department
2024
Boston Children's Hospital
2024
Harvard University
2024
Henan University
2024
Second Military Medical University
2012-2024
Knowledge of therapeutic targets and early drug candidates is useful for improved discovery. In particular, information about target regulators the patented agents facilitates research regarding druggability, systems pharmacology, new trends, molecular landscapes, development discovery tools. To complement other databases, we constructed Therapeutic Target Database (TTD) with expanded (i) target-regulating microRNAs transcription factors, (ii) target-interacting proteins, (iii) their...
The etiology of schizophrenia (SCZ) is regarded as one the most fundamental puzzles in current medical research, and its diagnosis limited by lack objective molecular criteria. Although plenty studies were conducted, SCZ gene signatures identified these independent are found highly inconsistent. As important factors contributing to this inconsistency, feature selection methods used currently do not fully consider reproducibility among discovered from different datasets. Therefore, it crucial...
Abstract Biological processes (like microbial growth & physiological response) are usually dynamic and require the monitoring of metabolic variation at different time-points. Moreover, there is clear shift from case-control (N=2) study to multi-class (N>2) problem in current metabolomics, which crucial for revealing mechanisms underlying certain process, disease metastasis, etc. These time-course metabolomics have attracted great attention, data normalization essential removing...
Label-free quantification (LFQ) with a specific and sequentially integrated workflow of acquisition technique, tool processing method has emerged as the popular technique employed in metaproteomic research to provide comprehensive landscape adaptive response microbes external stimuli their interactions other organisms or host cells. The performance LFQ is highly dependent on studied data. Hence, it essential discover most appropriate one for data set. However, challenging perform such...
Summary Aims The NLRP 3 inflammasome is a cytoplasmic multiprotein complex of the innate immune system that regulates cleavage interleukin‐1β and interleukin‐18 precursors. It can detect wide range danger signals trigger series immune‐inflammatory reactions. There were plenty studies indicating activation played pivotal roles in depression. However, underlying mechanisms immune‐depression interactions remained elusive there was no report about involvement Methods We established an acute...
Abstract Drugs produce their therapeutic effects by modulating specific targets, and there are 89 innovative targets of first-in-class drugs approved in 2004–17, each with information about drug clinical trial dated back to 1984. Analysis the timelines these may reveal trial-speed differentiating features for facilitating target assessment. Here we present a comprehensive analysis all following earlier studies prospective prediction success drugs. Our confirmed literature-reported common...
Abstract Background Experiences and inflammatory mediators are fundamental in the provocation of major depressive disorders (MDDs). We investigated roles mechanisms inducible nitric oxide synthase (iNOS) stress-induced depression. Methods used a depressive-like state mouse model induced by unpredictable chronic mild stress (UCMS). Depressive-like behaviors were evaluated after 4 weeks UCMS, presence absence iNOS inhibitor N -(3-(aminomethyl)benzyl)acetamidine (1400 W) compared with control...
Depression is often preceded by exposure to stressful life events. Chronic stress causes perturbations in the immune system, and up-regulates production of proinflammatory cytokines, which has been proposed be associated with pathogenesis clinical depression. However, potential mechanisms stress-induced cytokines lead development depression are not well understood. Here, we sought screen main linking inflammation depression-like behavior during unpredictable, chronic, mild (UCMS), vivo. Mice...
The label-free proteome quantification (LFQ) is multistep workflow collectively defined by tools and subsequent data manipulation methods that has been extensively applied in current biomedical, agricultural, environmental studies. Despite recent advances, in-depth high-quality remains extremely challenging requires the optimization of LFQs comparatively evaluating their performance. However, evaluation results using different criteria (precision, accuracy, robustness) vary greatly, huge...
Metaproteomics suffers from the issues of dimensionality and sparsity. Data reduction methods can maximally identify relevant subset significant differential features reduce data redundancy. Feature selection (FS) were applied to obtain subset. So far, a variety feature have been developed for metaproteomic study. However, due FS's performance depended heavily on characteristics given research, well-suitable method must be carefully selected reproducible proteins. Moreover, it is critical...
RNAs play essential roles in diverse physiological and pathological processes by interacting with other molecules (RNA/protein/compound), various computational methods are available for identifying these interactions. However, the encoding features provided existing limited tools does not offer an effective way to integrate partners. In this study, a task-specific algorithm RNA-associated interactions was therefore developed. This new unique (a) realizing comprehensive RNA feature...
Ribonucleic acids (RNAs) involve in various physiological/pathological processes by interacting with proteins, compounds, and other RNAs. A variety of powerful computational methods have been developed to predict such valuable interactions. However, all these rely heavily on the 'digitalization' (also known as 'encoding') RNA-associated pairs into a computer-recognizable descriptor. In words, it is urgently needed tool that can not only represent each partner but also integrate both partners...
Abstract Over time, the relative effects of elevated [CO 2 ] on aboveground photosynthesis, growth and development rice ( Oryza sativa L.) are likely to be changed with increasing duration CO exposure, but resultant belowground responses remain evaluated. To investigate impacts seasonal changes in root growth, morphology physiology rice, a free‐air enrichment (FACE) experiment was performed at Wuxi, Jiangsu, China, 2002–2003. A japonica cultivar large panicle exposed two (ambient ], 370 μmol...