Jingxi Dong
A5087686899- Single-cell and spatial transcriptomics
- CRISPR and Genetic Engineering
- Gene expression and cancer classification
- CAR-T cell therapy research
- Pancreatic function and diabetes
- Epigenetics and DNA Methylation
- Solar Radiation and Photovoltaics
- Pluripotent Stem Cells Research
- Power Systems and Renewable Energy
- Reproductive Biology and Fertility
- Energy Load and Power Forecasting
- RNA Research and Splicing
- Liver physiology and pathology
- Advanced biosensing and bioanalysis techniques
- Immune Cell Function and Interaction
Chinese Academy of Sciences
2023-2025
Institute of Zoology
2023-2025
Abstract Deciphering the universal gene regulatory mechanisms in diverse organisms holds great potential to advance our knowledge of fundamental life process and facilitate research on clinical applications. However, traditional paradigm primarily focuses individual model organisms, resulting limited collection integration complex features various cell types across species. Recent breakthroughs single-cell sequencing advancements deep learning techniques present an unprecedented opportunity...
Abstract Deciphering universal gene regulatory mechanisms in diverse organisms holds great potential for advancing our knowledge of fundamental life processes and facilitating clinical applications. However, the traditional research paradigm primarily focuses on individual model does not integrate various cell types across species. Recent breakthroughs single-cell sequencing deep learning techniques present an unprecedented opportunity to address this challenge. In study, we built extensive...
Abstract Emerging single‐cell sequencing technology has generated large amounts of data, allowing analysis cellular dynamics and gene regulation at the resolution. Advances in artificial intelligence enhance life sciences research by delivering critical insights optimizing data processes. However, inconsistent processing quality standards remain to be a major challenge. Here scCompass is proposed, which provides comprehensive resource designed build large‐scale, multi‐species, model‐friendly...
Liver disease is a major global health challenge. There shortage of liver donors worldwide, and hepatocyte transplantation (HT) may be an effective treatment to overcome this problem. However, the present approaches for generation hepatocytes are associated with challenges, interspecies chimera-derived produced by blastocyst complementation (IBC) promising donor because their more comprehensive hepatic functions. In study, we isolated mouse from mouse-rat chimeric livers using IBC found that...
The cover image is based on the Letter to Editor mRNA isoform switches during mouse zygotic genome activation by Fan Li et al., https://doi.org/10.1111/cpr.13655 .
Abstract Emerging single-cell sequencing technology has generated large amounts of data, allowing analysis cellular dynamics and gene regulation at the resolution. Advances in artificial intelligence enhance life sciences research by delivering critical insights optimizing data processes. However, inconsistent processing quality standards remain to be a major challenge. Here we propose scCompass, which provides solution build large-scale, cross-species model-friendly collection. By applying...
There have been researches on the evaluation of business model distributed photovoltaic energy storage system (DPESS). The main achievement is to select indexes from economic point view. First, considering dominant and hidden benefits DPESS, a complete index for DPESS established benefit, environmental benefit social benefit. Then, integrated weighting which considers advantages subjective objective method constructed, gray cluster trigonometric function proposed. case study shows that...
Abstract Cell fate changes are determined by gene regulatory network (GRN), a sophisticated system regulating expression in precise spatial and temporal patterns. However, existing methods for reconstructing GRNs suffer from inherent limitations, leading to compromised accuracy application generalizability. In this study, we introduce CellPolaris, computational that leverages transfer learning algorithms generate high-quality, cell-type-specific GRNs. Diverging conventional GRN inference...