ReviewImmunology and cell biology2021
Making the most of high-dimensional cytometry data.
Review in Immunology and cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 29 citations in OpenAlex.
- Article
- Decoding the archipelago: single-cell biomarkers rechart the molecular geography of acute myeloid leukemia.Cell communication and signaling : CCS · 2026Review
- Article
- Dual Phospho-CyTOF Workflows for Comparative JAK/STAT Signaling Analysis in Human Cryopreserved PBMCs and Whole Blood.Bio-protocol · 2025Article
- High-Dimensional Phospho-CyTOF Characterization of T-Cell Activation Responses in Whole Blood.Bio-protocol · 2025Article
- Enhanced interpretation of immune cell phenotype and function through a rhesus macaque single-cell atlas.Cell genomics · 2025Article
- High-dimensional spectral flow cytometry of activation and phagocytosis by peripheral human polymorphonuclear leukocytes.Journal of leukocyte biology · 2025Article
- Monitoring Immune Responses to Vaccination: A Focus on Single-Cell Analysis and Associated Challenges.Vaccines · 2025Review
- High-dimensional spectral flow cytometry of activation and phagocytosis by peripheral human polymorphonuclear leukocytes.bioRxiv : the preprint server for biology · 2024Article
- Dietary factors and their influence on immunotherapy strategies in oncology: a comprehensive review.Cell death & disease · 2024Review
- Article
- CRUSTY: a versatile web platform for the rapid analysis and visualization of high-dimensional flow cytometry data.Nature communications · 2023Article
- A new hybrid algorithm for three-stage gene selection based on whale optimization.Scientific reports · 2023Article
- Distinct pretreatment innate immune landscape and posttreatment T cell responses underlie immunotherapy-induced colitis.JCI insight · 2022Article
- Peripheral B-cell dysregulation is associated with relapse after long-term quiescence in patients with multiple sclerosis.Immunology and cell biology · 2022Article
- CyTOF mass cytometry analysis of human memory CD4STAR protocols · 2022Article
- Simplified mass cytometry protocol for in-plate staining, barcoding, and cryopreservation of human PBMC samples in clinical trials.STAR protocols · 2022Article
- Using mass cytometry for the analysis of samples of the human airways.Frontiers in immunology · 2022Article
- Spectral flow cytometry cluster analysis of therapeutic donor lymphocyte infusions identifies T cell subsets associated with outcome in patients with AML relapse.Frontiers in immunology · 2022Observational
- How to Prepare Spectral Flow Cytometry Datasets for High Dimensional Data Analysis: A Practical Workflow.Frontiers in immunology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-dimensional cytometry represents an exciting new era of immunology research, enabling the discovery of new cells and prediction of patient responses to therapy. A plethora of analysis and visualization tools and programs are now available for both new and experienced users; however, the transition from low- to high-dimensional cytometry requires a change in the way users think about experimental design and data analysis. Data from high-dimensional cytometry experiments are often underutilized, because of both the size of the data and the number of possible combinations of markers, as well as to a lack of understanding of the processes required to generate meaningful data. In this article, we explain the concepts behind designing high-dimensional cytometry experiments and provide considerations for new and experienced users to design and carry out high-dimensional experiments to maximize quality data collection.
Indexed as
Identifiers
What Socratic 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 Socratic graph.