AIMC Topic: T-Lymphocytes
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Exploring T-cell metabolism in tuberculosis: development of a diagnostic model using metabolic genes.
European journal of medical research
Jun 16, 2025
OBJECTIVES: The early diagnosis and immunoregulatory mechanisms of active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remain unclear, and the role of metabolic genes in host-pathogen interactions requires further investigation.
Cross-organ hierarchy of HLA molecular mismatches in donor-specific antibody development in solid organ transplantations.
Cell reports. Medicine
May 30, 2025
Donor-specific antibodies (DSAs) against human leukocyte antigen (HLA) play a crucial role in antibody-mediated rejection, a major barrier to successful organ transplantation. Donor-recipient HLA molecular incompatibility critically influences DSA su...
Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.
Scientific reports
May 29, 2025
Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environmental and genetic factors, which can lead to severe disability and heavy social burden. This study aimed to find potential biomarkers related to T cell...
Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.
Frontiers in endocrinology
May 27, 2025
BACKGROUND: The most frequent malignant tumor in women is breast cancer (BRCA). It has been discovered that T-cell exhaustion and macrophages play significant roles in BRCA. It was necessary to explore prognostic genes associated with T-cell exhausti...
Immunopeptidomics-guided discovery and characterization of neoantigens for personalized cancer immunotherapy.
Science advances
May 21, 2025
Neoantigens have emerged as ideal targets for personalized cancer immunotherapy. We depict the pan-cancer peptide atlas by comprehensively collecting immunopeptidomics from 531 samples across 14 cancer and 29 normal tissues, and identify 389,165 cano...
Celluloepidemiology-A paradigm for quantifying infectious disease dynamics on a population level.
Science advances
May 16, 2025
To complement serology as a tool in public health interventions, we introduced the "celluloepidemiology" paradigm where we leveraged pathogen-specific T cell responses at a population level to advance our epidemiological understanding of infectious d...
Machine learning approach to single cell transcriptomic analysis of Sjogren's disease reveals altered activation states of B and T lymphocytes.
Journal of autoimmunity
May 2, 2025
Sjogren's Disease (SjD) is an autoimmune disorder characterized by salivary and lacrimal gland dysfunction and immune cell infiltration leading to gland inflammation and destruction. Although SjD is a common disease, its pathogenesis is not fully und...
Using artificial intelligence-based software for an unbiased discrimination of immune cell subtypes in the fracture hematoma and bone marrow of non-osteoporotic and osteoporotic mice.
PloS one
Apr 29, 2025
It is well established that the early inflammatory response following fracture is essential for initiating subsequent bone regeneration. An imbalance in inflammation, whether within the innate or adaptive immune response, can result in impaired fract...
Engineering TCR-controlled fuzzy logic into CAR T cells enhances therapeutic specificity.
Cell
Apr 11, 2025
Chimeric antigen receptor (CAR) T cell immunotherapy represents a breakthrough in the treatment of hematological malignancies, but poor specificity has limited its applicability to solid tumors. By contrast, natural T cells harboring T cell receptors...
MIST: An interpretable and flexible deep learning framework for single-T cell transcriptome and receptor analysis.
Science advances
Apr 4, 2025
Joint analysis of transcriptomic and T cell receptor (TCR) features at single-cell resolution provides a powerful approach for in-depth T cell immune function research. Here, we introduce a deep learning framework for single-T cell transcriptome and ...
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