ImmunoTar—Integrative Prioritization of Cell Surface Targets for Cancer Immunotherapy

Information Science, Computer Science, Artificial Intelligence, Medicine, Oncology, Life Sciences, Immunology,
cancer immunotherapy   cell surface targets   RNA sequencing   proteomics   computational tool  

Cancer remains one of the leading causes of death globally. Despite significant advancements in immunotherapy in recent years, such as the successful application of chimeric antigen receptor T-cell (CAR-T) therapy and antibody-drug conjugates (ADCs), the effective identification of cancer-specific surface protein targets remains a major challenge i...

Single-Cell Unified Polarization Assessment of Immune Cells

Information Science, Computer Science, Life Sciences, Cell Biology, Immunology,
single-cell RNA sequencing   immune cell polarization   cytokine-driven   computational method   tumor infiltration   transcriptome   cell embeddings  

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 ...

Trajectory Alignment of Gene Expression Dynamics

Medicine, Life Sciences, Cell Biology, Biochemistry, Bioengineering, Immunology, Genetics, Microbiology,
gene expression   single-cell transcriptomics   trajectory alignment   bioinformatics   differentially expressed genes  

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...

APNet: An Explainable Sparse Deep Learning Model to Discover Differentially Active Drivers of Severe COVID-19

Information Science, Artificial Intelligence, Medicine, Infectious Diseases, Life Sciences, Immunology,
COVID-19   deep learning   bioinformatics   proteomics   network biology  

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 ...

EVA1-Antibody Drug Conjugate as a Novel Therapeutic Strategy for Eliminating Glioblastoma-Initiating Cells

Medicine, Neurology, Oncology, Life Sciences, Immunology,
glioblastoma   EVA1   antibody drug conjugate   tumor-initiating cells   therapeutic strategy  

Background Introduction Glioblastoma (GBM) is one of the most aggressive brain cancers, with a median survival of approximately 15 months. Despite the use of multimodal treatments including surgery, chemotherapy, and radiotherapy, the overall survival rate of GBM patients has not significantly improved over the past few decades. Recent studies have...

A Multivariable Prediction Model for Invasive Pulmonary Aspergillosis in Immunocompromised Patients with Acute Respiratory Failure (IPA-GRRR-OH Score)

Medicine, Infectious Diseases, Oncology, Life Sciences, Immunology,
Invasive Pulmonary Aspergillosis   Immunocompromised   Acute Respiratory Failure   Prediction Model   Intensive Care  

A Prediction Model for Invasive Pulmonary Aspergillosis in Immunocompromised Patients with Acute Respiratory Failure Background Introduction Invasive Pulmonary Aspergillosis (IPA) is a severe opportunistic infection commonly seen in immunocompromised patients, particularly those with immune dysfunction caused by hematological malignancies, stem cel...