Scollr summary
What this paper is about
Three prominent NK cell subsets in healthy human blood are identified: NK1, NK2 and NK3, further differentiated into six distinct subgroups, which suggest two separate ontogenetic origins for NK cells, leading to divergent transcriptional trajectories.
Full abstract
Read the full abstract
Natural killer (NK) cells are innate lymphoid cells (ILCs) contributing to immune responses to microbes and tumors. Historically, their classification hinged on a limited array of surface protein markers. Here, we used single-cell RNA sequencing (scRNA-seq) and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to dissect the heterogeneity of NK cells. We identified three prominent NK cell subsets in healthy human blood: NK1, NK2 and NK3, further differentiated into six distinct subgroups. Our findings delineate the molecular characteristics, key transcription factors, biological functions, metabolic traits and cytokine responses of each subgroup. These data also suggest two separate ontogenetic origins for NK cells, leading to divergent transcriptional trajectories. Furthermore, we analyzed the distribution of NK cell subsets in the lung, tonsils and intraepithelial lymphocytes isolated from healthy individuals and in 22 tumor types. This standardized terminology aims at fostering clarity and consistency in future research, thereby improving cross-study comparisons.
Direct answer
What can I do from this paper page?
Use this page to scan "High-dimensional single-cell analysis of human natural killer cell heterogeneity" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Immune Cell Function and Interaction research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Moretta2024High,
title = {High-dimensional single-cell analysis of human natural killer cell heterogeneity},
author = {Lorenzo Moretta and Lucas Rebuffet and Janine Melsen and Bertrand Escalière and Daniela Basurto-Lozada and Avinash Bhandoola and Niklas K. Björkström and Yenan T. Bryceson and Roberta Castriconi and Frank Cichocki and Marco Colonna and Daniel M. Davis and Andreas Diefenbach and Yi Ding and Muzlifah Haniffa and Amir Horowitz and Lewis L. Lanier and Karl‐Johan Malmberg and Jeffrey S. Miller and Émilie Narni-Mancinelli and Luke O'neill and Chiara Romagnani and Dylan G. Ryan and Simona Sivori and Dan Sun and Constance Vagne and Éric Vivier},
journal = {Nature Immunology},
year = {2024},
doi = {10.1038/s41590-024-01883-0},
url = {https://doi.org/10.1038/s41590-024-01883-0}
}
FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Immune Cell Function and Interaction research papers?
Follow Immune Cell Function and Interaction research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for High-dimensional single-cell analysis of human natural killer cell heterogeneity. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app