ArticleCell reports2018
MetaCyto: A Tool for Automated Meta-analysis of Mass and Flow Cytometry Data.
Article in Cell reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI.Research synthesis methods · 2026Pooled it
- The immunoregulatory landscape of human tuberculosis granulomas.Nature immunology · 2022Pooled it
- Therapeutic remodeling of the tuberculosis granuloma with 1-methyl-D-tryptophan enhances CD8Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Article
- Navigating the Landscape of Cytometry-Based Single-Cell Proteomics: Quantification, Annotation, and Resources.International journal of molecular sciences · 2026Review
- Application of artificial intelligence in laboratory hematology: Advances, challenges, and prospects.Acta pharmaceutica Sinica. B · 2025Review
- Therapeutic remodeling of the tuberculosis granuloma with 1-methyl-D-tryptophan enhances CD8bioRxiv : the preprint server for biology · 2025Article
- Granulysin Antimicrobial Activity Promotes Dormancy in Mycobacterium tuberculosis.European journal of immunology · 2025Article
- Single-Cell Imaging Maps Inflammatory Cell Subsets to Pulmonary Arterial Hypertension Vasculopathy.American journal of respiratory and critical care medicine · 2024Article
- MaLiAmPi enables generalizable and taxonomy-independent microbiome features from technically diverse 16S-based microbiome studies.Cell reports methods · 2023Article
- A cell-level discriminative neural network model for diagnosis of blood cancers.Bioinformatics (Oxford, England) · 2023Article
- Knowledge in Motion: A Comprehensive Review of Evidence-Based Human Kinetics.International journal of environmental research and public health · 2023Review
- AliGater: a framework for the development of bioinformatic pipelines for large-scale, high-dimensional cytometry data.Bioinformatics advances · 2023Article
- Cell Viability Multiplexing: Quantification of Cellular Viability by Barcode Flow Cytometry and Computational Analysis.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Mass cytometry analysis of blood from peanut-sensitized tolerant and clinically allergic infants.Scientific data · 2022Article
- Techniques for Profiling the Cellular Immune Response and Their Implications for Interventional Oncology.Cancers · 2022Review
- Guidelines for standardizing T-cell cytometry assays to link biomarkers, mechanisms, and disease outcomes in type 1 diabetes.European journal of immunology · 2022Article
- RCRdiff: A fully integrated Bayesian method for differential expression analysis using raw NanoString nCounter data.Statistics in medicine · 2022Article
- High Interferon Signature Leads to Increased STAT1/3/5 Phosphorylation in PBMCs From SLE Patients by Single Cell Mass Cytometry.Frontiers in immunology · 2022Article
- New interpretable machine-learning method for single-cell data reveals correlates of clinical response to cancer immunotherapy.Patterns (New York, N.Y.) · 2021Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
While meta-analysis has demonstrated increased statistical power and more robust estimations in studies, the application of this commonly accepted methodology to cytometry data has been challenging. Different cytometry studies often involve diverse sets of markers. Moreover, the detected values of the same marker are inconsistent between studies due to different experimental designs and cytometer configurations. As a result, the cell subsets identified by existing auto-gating methods cannot be directly compared across studies. We developed MetaCyto for automated meta-analysis of both flow and mass cytometry (CyTOF) data. By combining clustering methods with a silhouette scanning method, MetaCyto is able to identify commonly labeled cell subsets across studies, thus enabling meta-analysis. Applying MetaCyto across a set of ten heterogeneous cytometry studies totaling 2,926 samples enabled us to identify multiple cell populations exhibiting differences in abundance between demographic groups. Software is released to the public through Bioconductor (http://bioconductor.org/packages/release/bioc/html/MetaCyto.html).
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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.