Primary immune responses generate short-term effectors and long-term protective memory cells. The delineation of the genealogy linking naive, effector, and memory cells has been complicated by the lack of phenotypes discriminating effector from memory differentiation stages. Using transcriptomics and phenotypic analyses, we identify Bcl2 and Mki67 as a marker combination that enables the tracking of nascent memory cells within the effector phase. We then use a formal approach based on mathematical models describing the dynamics of population size evolution to test potential progeny links and demonstrate that most cells follow a linear naive→early effector→late effector→memory pathway. Moreover, our mathematical model allows long-term prediction of memory cell numbers from a few early experimental measurements. Our work thus provides a phenotypic means to identify effector and memory cells, as well as a mathematical framework to investigate their genealogy and to predict the outcome of immunization regimens in terms of memory cell numbers generated.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.cels.2017.01.014 | DOI Listing |
Alzheimers Dement
January 2025
Stem Cells and Regenerative Medicine Laboratory, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong SAR, PR China.
Introduction: Alzheimer's disease (AD) is a progressive neurodegenerative disease and the leading cause of dementia. Recent research highlights meningeal lymphatics as key regulators in neurological diseases, suggesting that enhancing their drainage function could be a potential therapeutic strategy for AD. Our proof-of-concept study demonstrated that cranial bone transport can improve meningeal lymphatic drainage function and promote ischemic stroke recovery.
View Article and Find Full Text PDFMol Oncol
January 2025
Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Norway.
Immune checkpoint inhibitors have demonstrated limited efficacy in overcoming immunosuppression in patients with epithelial ovarian cancer (EOC). Although certain patients experience long-term treatment benefit, reliable biomarkers for responder pre-selection and the distinction of dominant immunosuppressive mechanisms have yet to be identified. Here, we used a 40-marker suspension mass cytometry panel to comprehensively phenotype peripheral blood leukocytes sampled over time from patients with relapsed EOC who underwent combination oleclumab (anti-CD73) and durvalumab (anti-PD-L1) immunotherapy in the NSGO-OV-UMB1/ENGOT-OV30 trial.
View Article and Find Full Text PDFInt J Mol Med
April 2025
Department of Endocrinology, China‑Japan Friendship Hospital, Beijing 100029, P.R. China.
The aim of the present study was to investigate the neuroprotective effects of semaglutide in diabetes‑associated cognitive decline (DACD), while also exploring the underlying mechanisms targeting anti‑oxidative effects. The present study evaluated the antioxidant properties of semaglutide using a DACD model of inflammation. To investigate the underlying mechanisms, omics technologies were employed.
View Article and Find Full Text PDFAcupunct Med
January 2025
Combination of Acupuncture and Medicine Innovation Research Center, Shaanxi University of Chinese Medicine, Xianyang, China.
Objective: Cognitive impairment (CI) is highly prevalent in subarachnoid hemorrhage (SAH) patients. The phosphatidylinositol 3-kinase (PI3K)/AKT pathway plays a critical role in neuronal survival in a variety of central nervous system injuries. This study aimed to determine whether electroacupuncture (EA) at and LI20 ameliorates SAH-CI in a rat model and to examine whether it modulates the PI3K/AKT pathway by administering a PI3K inhibitor (LY294002) versus dimethyl sulfoxide (DMSO) vehicle.
View Article and Find Full Text PDFNat Commun
January 2025
School of Computer Science, Sichuan University, Chengdu, Sichuan, China.
To overcome the computational barriers of analyzing large-scale single-cell sequencing data, we introduce MetaQ, a metacell algorithm that scales to arbitrarily large datasets with linear runtime and constant memory usage. Inspired by cellular development, MetaQ conceptualizes each metacell as a collective ancestor of biologically similar cells. By quantizing cells into a discrete codebook, where each entry represents a metacell capable of reconstructing the original cells it quantizes, MetaQ identifies homogeneous cell subsets for efficient and accurate metacell inference.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!