ReviewAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2017
Applying Mass Cytometry to the Analysis of Lymphoid Populations in Transplantation.
Review in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 15 citations in OpenAlex.
- IL-17A-producing γδ T cells and classical monocytes are associated with a rapid alloimmune response following vascularized composite allotransplantation in mice.Frontiers in immunology · 2025Article
- Application of mass cytometry to characterize hematopoietic stem cells in apheresis products of patients with hematological malignancies.Hematology, transfusion and cell therapy · 2024Article
- Single-cell mass cytometry in immunological skin diseases.Frontiers in immunology · 2024Review
- Revisiting transplant immunology through the lens of single-cell technologies.Seminars in immunopathology · 2023Review
- Progress and applications of mass cytometry in sketching immune landscapes.Clinical and translational medicine · 2020Review
- Single cell immune profiling in transplantation research.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2019Review
- Immunological Prediction of Cytomegalovirus (CMV) Replication Risk in Solid Organ Transplantation Recipients: Approaches for Regulating the Targeted Anti-CMV Prevention Strategies.Infection & chemotherapy · 2017Review
- Infectious pathogens may trigger specific allo-HLA reactivity via multiple mechanisms.Immunogenetics · 2017Review
- Combining Flow and Mass Cytometry in the Search for Biomarkers in Chronic Graft-versus-Host Disease.Frontiers in immunology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Single-cell flow cytometric techniques have been indispensable to improving our understanding of the phenotype and function of immune cell subsets that are important in both rejection and tolerance after transplant. Mass cytometry, or cytometry by time of flight, is a single-cell-based platform that utilizes antibodies conjugated to rare heavy metal ions for analysis of cellular proteins by a time-of-flight mass spectrometer. This new technology allows for the evaluation of >40 simultaneous cellular parameters in a single sample because the limitation of spectral overlap, seen in conventional flow cytometry, is eliminated. In this review, we discuss the current state of mass cytometry, describe the advantages and disadvantages compared with multiparameter flow cytometry, introduce novel methods of high-dimensional data analysis and visualization, and review some recent studies using mass cytometry to profile the immune systems of healthy people and transplant recipients.
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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.