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Interactions between different cell types are key for immune function. Traditionally, interactions have been investigated in vivo by intravital two-photon microscopy, but the molecular characterization of the cells participating in a specific interaction is limited by the inability to retrieve the cells for downstream analysis. We recently developed an approach to label cells undergoing specific interactions in vivo, which we called LIPSTIC (Labeling Immune Partnership by Sortagging Intercellular Contacts). Here, we provide detailed instructions on how to track CD40-CD40L interactions between dendritic cells (DCs) and CD4 T cells using genetically engineered LIPSTIC mice. This protocol requires expertise in animal experimentation and multicolor flow cytometry. Once mouse crossing has been achieved, it takes 3 days or more to complete, depending on the kinetics of the interactions that the researcher wishes to investigate.
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http://dx.doi.org/10.1007/978-1-0716-2938-3_5 | DOI Listing |
Cell Genom
September 2025
Institute of Pathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany; Center for Molecular Medicine Cologne, University of Cologne, Cologne, Germany. Electronic address:
Inherited genetic variants contribute to Barrett's esophagus (BE) and esophageal adenocarcinoma (EAC), but it is unknown which cell types are involved in this process. We performed single-cell RNA sequencing of BE, EAC, and paired normal tissues and integrated genome-wide association data to determine cell-type-specific genetic risk and cellular processes that contribute to BE and EAC. The analysis reveals that EAC development is driven to a greater extent by local cellular processes than BE development and suggests that one cell type of BE origin (intestinal metaplasia cells) and cellular processes that control the differentiation of columnar cells are of particular relevance for EAC development.
View Article and Find Full Text PDFBiomaterials
September 2025
Key Laboratory of Biopharmaceutical Preparation and Delivery, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China. Electronic address:
The stimulator of interferon genes (STING) pathway represents a promising target in cancer immunotherapy. However, the clinical translation of cyclic dinucleotide (CDN)-based STING agonists remains hindered by insufficient formation of functional CDN-STING complexes. This critical bottleneck arises from two interdependent barriers: inefficient cytosolic CDN delivery and tumor-specific STING silencing via DNA methyltransferase-mediated promoter hypermethylation.
View Article and Find Full Text PDFAm J Reprod Immunol
September 2025
Department of Obstetrics and Gynecology, Second XiangYa Hospital of Central South University, Changsha, Hunan, China.
Problem: Preeclampsia (PE) is a leading cause of perinatal maternal and fetal mortality. Clinical and pathological studies suggest that placental and decidual cell dysfunction may contribute to this condition. However, the pathogenesis of PE remains poorly understood.
View Article and Find Full Text PDFMol Biomed
September 2025
National Key Laboratory of Immunity and Inflammation & Institute of Immunology, College of Basic Medical Sciences, Naval Medical University, Shanghai, 200433, China.
Dendritic cells (DCs) play a central role in coordinating immune responses by linking innate and adaptive immunity through their exceptional antigen-presenting capabilities. Recent studies reveal that metabolic reprogramming-especially pathways involving acetyl-coenzyme A (acetyl-CoA)-critically influences DC function in both physiological and pathological contexts. This review consolidates current knowledge on how environmental factors, tumor-derived signals, and intrinsic metabolic pathways collectively regulate DC development, subset differentiation, and functional adaptability.
View Article and Find Full Text PDFMedicine (Baltimore)
September 2025
Department of Orthopedic Surgery, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, China.
The purpose of this study was to investigate potential therapeutic targets for osteosarcoma (OS) and offer hints regarding genetic factors for OS treatment using a bioinformatics method. This study processed 3 OS datasets from the gene expression omnibus database using R software, screening for differentially expressed genes (DEGs). After enrichment analysis, based on expression quantitative trait loci data and the genome-wide association study data of OS, Mendelian randomization analysis was used to screen the genes closely related to OS disease, which intersect with DEGs to obtain co-expressed genes, validation datasets were employed to verify the results.
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