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The mononuclear phagocyte (MP) system consists of macrophages, monocytes, and dendritic cells (DCs). MP subtypes play distinct functional roles in steady-state and inflammatory conditions. Although murine MPs are well characterized, their pulmonary and lymph node (LN) human homologs remain poorly understood. To address this gap, we have created a gene expression compendium across 24 distinct human and murine lung and LN MPs, along with human blood and murine spleen MPs, to serve as validation datasets. In-depth RNA sequencing identifies corresponding human-mouse MP subtypes and determines marker genes shared and divergent across species. Unexpectedly, only 13%-23% of the top 1,000 marker genes (i.e., genes not shared across species-specific MP subtypes) overlap in corresponding human-mouse MP counterparts. Lastly, CD88 in both species helps distinguish monocytes/macrophages from DCs. Our cross-species expression compendium serves as a resource for future translational studies to investigate beforehand whether pursuing specific MP subtypes or genes will prove fruitful.
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http://dx.doi.org/10.1016/j.celrep.2020.108337 | DOI Listing |
JCI Insight
September 2025
Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
The regulation of follicular (F) and germinal center (GC) immune reactivity in human lymph nodes (LNs), particularly during the acute stages of viral infection, remains poorly understood: We have analyzed lung-draining lymph nodes (LD-LNs) from COVID-19 autopsies using multiplex imaging and spatial transcriptomics to examine the immune landscape with respect to follicular immune reactivity. We identified three groups of donors based on the Bcl6 prevalence of their Reactive Follicles (RFs): RF-Bcl6no/low, RF-Bcl6int, and RF-Bcl6high. A distinct B/TFH immune landscape, associated with increased prevalence of proliferating B-cell and TFH-cell subsets, was found in RF-Bcl6high LD-LNs.
View Article and Find Full Text PDFAnal Chem
September 2025
Department of Radiotherapy, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215123, People's Republic of China.
Radiation therapy (RT) plays important roles in cancer treatment, and the efficacy of RT depends on the abscopal effect, which results in the regression of distant and untreated tumors through localized irradiation of a single tumor lesion. This effect is mediated by effector tumor antigen-specific T cells (ETASTs) activated by RT. Monitoring the radiation-induced changes in ETASTs can be used to predict the abscopal effect.
View Article and Find Full Text PDFRadiol Med
September 2025
Breast Imaging Division, Radiology Department, IEO European Institute of Oncology IRCCS, 20141, Milan, Italy.
Metastatic involvement (MB) of the breast from extramammary malignancies is rare, with an incidence of 0.09-1.3% of all breast malignancies.
View Article and Find Full Text PDFFront Immunol
September 2025
Department of Digestive Oncology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Peking University Cancer Hospital Yunnan, Kunming, Yunnan, China.
Objectives: Circular RNAs (circRNAs) are a class of non-coding RNAs with diverse pathophysiological functions. However, the functional roles and molecular mechanisms of circRNAs in lung adenocarcinoma (LUAD) remain to be further elucidated.
Methods: The expression levels of Circ_0007552 (Circ_RILPL1), miR-7974, and BRCA1-associated protein 1 (BAP1) mRNA in LUAD tissues and cells were detected by quantitative real-time PCR (qRT-PCR).
Front Med (Lausanne)
August 2025
Department of Oncology, Shanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Background: This study evaluates how AI enhances EHR efficiency by comparing a lung cancer-specific LLM with general-purpose models (DeepSeek, GPT-3.5) and clinicians across expertise levels, assessing accuracy and completeness in complex lung cancer pathology documentation and task load changes pre-/post-AI implementation.
Methods: This study analyzed 300 lung cancer cases (Shanghai Chest Hospital) and 60 TCGA cases, split into training/validation/test sets.