ReviewFrontiers in immunology2018
Immune Cell Dynamics Unfolded by Single-Cell Technologies.
Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Data-intensive immune network modelling for One Health.Briefings in bioinformatics · 2026Review
- Single-cell transcriptome analyses of PBMCs reveal the immunological characteristics of individuals with phlegm-dampness constitution.Frontiers of medicine · 2025Article
- Nanoplastics: Immune Impact, Detection, and Internalization after Human Blood Exposure by Single-Cell Mass Cytometry.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Harnessing the potential of CAR-T cell therapy: progress, challenges, and future directions in hematological and solid tumor treatments.Journal of translational medicine · 2023Review
- Dissection and Integration of Bursty Transcriptional Dynamics for Complex Systems.bioRxiv : the preprint server for biology · 2023Article
- DGCyTOF: Deep learning with graphic cluster visualization to predict cell types of single cell mass cytometry data.PLoS computational biology · 2022Article
- Epigenetic gene regulation in plasma cells.Immunological reviews · 2021Review
- Bioinformatic Approaches to Validation and Functional Analysis of 3D Lung Cancer Models.Cancers · 2021Review
- The current landscape of single-cell transcriptomics for cancer immunotherapy.The Journal of experimental medicine · 2021Review
- The Whole Body as the System in Systems Immunology.iScience · 2020Review
- A novel single-cell based method for breast cancer prognosis.PLoS computational biology · 2020Article
- Unravelling the heterogeneity and dynamic relationships of tumor-infiltrating T cells by single-cell RNA sequencing analysis.Journal of leukocyte biology · 2020Review
- Analysis of the Consolidation Phase of Immunological Memory within the IgG Response to a B Cell Epitope Displayed on a Filamentous Bacteriophage.Microorganisms · 2020Article
- CD8Nature reviews. Cancer · 2020Review
- GPseudoClust: deconvolution of shared pseudo-profiles at single-cell resolution.Bioinformatics (Oxford, England) · 2020Article
- Article
- Pinpointing Cell Identity in Time and Space.Frontiers in molecular biosciences · 2020Article
- Ultrasonically-guided flow focusing generates precise emulsion droplets for high-throughput single cell analyses.Journal of bioscience and bioengineering · 2019Article
- Application of single-cell RNA sequencing methodologies in understanding haematopoiesis and immunology.Essays in biochemistry · 2019Review
- Targeting Tregs in Juvenile Idiopathic Arthritis and Juvenile Dermatomyositis-Insights From Other Diseases.Frontiers in immunology · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The single-cell revolution is paving the way towards the molecular characterisation of every cell type in the human body, revealing relationships between cell types and states at high resolution. Changes in cellular phenotypes are particularly prevalent in the immune system and can be observed in its continuous remodelling up to adulthood, response to disease and development of immunological memory. In this review, we delve into the world of cellular dynamics of the immune system. We discuss current single-cell experimental and computational approaches in this area, giving insights into plasticity and commitment of cell fates. Finally, we provide an outlook on upcoming technological developments and predict how these will improve our understanding of the immune system.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.