Immune cells undergo cytokine-driven polarization in response to various stimuli, which alters their transcriptional profiles and functional states. This dynamic process plays a central role in immune responses in both health and disease. However, there has been a lack of systematic methods to assess cytokine-driven polarization in single-cell RNA ...
The advent of single-cell RNA sequencing (scRNA-seq) technology has provided unprecedented resolution for studying gene expression dynamics during cell development and differentiation. However, due to the complexity of biological processes, cell developmental trajectories under different conditions are often asymmetric, posing challenges for data i...
Single-cell RNA sequencing (scRNA-seq) technology enables high-throughput transcriptomic profiling at single-cell resolution, significantly advancing research in cell biology. However, a notable limitation of scRNA-seq is that it requires tissue dissociation, resulting in the loss of the original spatial location information of cells within tissues...
With the increasing availability of large-scale population biobanks, the potential of Whole Genome Sequencing (WGS) data in human health and disease research has been significantly enhanced. However, the massive computational and storage demands of WGS data pose significant challenges to research institutions, especially those with limited funding ...
Background Introduction In recent years, circular RNAs (circRNAs), as a novel class of non-coding RNA molecules, have played a significant role in the occurrence, development, and treatment of diseases. Due to their unique circular structure, circRNAs are resistant to degradation by nucleases, making them potential biomarkers and therapeutic target...
Single-cell RNA sequencing (scRNA-seq) technology has been widely applied in biological and medical research in recent years. It can reveal the transcriptomic information of individual cells, helping scientists better understand cellular heterogeneity and complexity. However, a common issue in scRNA-seq data is “dropout events,” which result in man...
Academic Background The COVID-19 pandemic has had a significant impact on global public health systems. Although the pandemic has somewhat subsided, its complex immunopathological mechanisms, long-term sequelae (such as “long COVID”), and the potential for similar threats in the future continue to drive in-depth research. Severe COVID-19 cases are ...
Academic Background Drug-Target Interaction (DTI) prediction is a critical step in drug discovery, significantly reducing the cost and time of experimental screening. However, despite the advancements in deep learning that have improved the accuracy of DTI prediction, existing methods still face two major challenges: lack of generalizability and ne...
Academic Background Glioblastoma (GBM) is a highly malignant primary brain tumor. Despite current standard treatments such as surgical resection, radiotherapy, and chemotherapy, the prognosis remains extremely poor, with a median survival of only 14.6 months. Traditional treatments often fail to completely eradicate the tumor and are prone to recur...
Academic Background Glioblastoma (GBM) is one of the most aggressive and heterogeneous central nervous system tumors, with an extremely poor prognosis. Despite the emergence of novel therapies such as anti-angiogenic treatments and immunotherapy in recent years, the survival period of GBM patients remains very limited. GBM cells exhibit unique meta...