ReviewImmunology and cell biology2016
Single-cell technologies are revolutionizing the approach to rare cells.
Review in Immunology and cell biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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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.
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Who cites it
40 citing papers in PubMed.
- Single-cell profiling of peripheral immune remodeling in BK polyomavirus-associated nephropathy after kidney transplantation.Frontiers in immunology · 2026Article
- Molecular architecture of mesoderm cells across early to middle stage of human embryo development at single-cell resolution.BMC molecular and cell biology · 2025Article
- In-air microfluidic sorting of single cells on multiple paths.Microsystems & nanoengineering · 2025Article
- Droplet Microfluidics for Advanced Single-Cell Analysis.Smart medicine · 2025Review
- Machine Learning-Enhanced Estimation of Cellular Protein Levels from Bright-Field Images.Bioengineering (Basel, Switzerland) · 2024Article
- Review
- Transforming Diagnosis and Therapeutics Using Cancer Genomics.Cancer treatment and research · 2023Article
- SFRP4Cell discovery · 2022Article
- Advances in single-cell sequencing technology in the field of hepatocellular carcinoma.Frontiers in genetics · 2022Review
- Organized Chaos: Deciphering Immune Cell Heterogeneity's Role in Inflammation in the Heart.Biomolecules · 2021Review
- Exploring rare cellular activity in more than one million cells by a transscale scope.Scientific reports · 2021Article
- Mass cytometry and transcriptomic profiling reveal body-wide pathology induced by Loxl1 deficiency.Cell proliferation · 2021Article
- [Research Progress of Single Cell Sequencing in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2021Review
- High-Dimensional Immune Monitoring for Chimeric Antigen Receptor T Cell Therapies.Current hematologic malignancy reports · 2021Review
- Single-Cell Sequencing Applications in the Inner Ear.Frontiers in cell and developmental biology · 2021Review
- Altered Monocyte Subsets in Kawasaki Disease Revealed by Single-cell RNA-Sequencing.Journal of inflammation research · 2021Article
- Unravelling the heterogeneity and dynamic relationships of tumor-infiltrating T cells by single-cell RNA sequencing analysis.Journal of leukocyte biology · 2020Review
- Modulating local airway immune responses to treat allergic asthma: lessons from experimental models and human studies.Seminars in immunopathology · 2020Review
- Multi-ATOM: Ultrahigh-throughput single-cell quantitative phase imaging with subcellular resolution.Journal of biophotonics · 2019Article
- Pharmacodynamic Drug-Drug Interactions.Clinical pharmacology and therapeutics · 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
2 authors.
Funding
Abstract
In the last lustrum single-cell techniques such as single-cell quantitative PCR, RNA and DNA sequencing, and the state-of-the-art cytometry by time of flight (CyTOF) mass cytometer have allowed a detailed analysis of the sub-composition of different organs from the bone marrow hematopoietic compartment to the brain. These fine-grained analyses have highlighted the great heterogeneity within each cell compartment revealing previously unknown subpopulations of cells. In this review, we analyze how this fast technological evolution has improved our understanding of the biological processes with a particular focus on rare cells of the immune system.
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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.