Standardizing immunophenotyping for the Human Immunology Project

By Holden T. Maecker, J. McCoy, R. Nussenblatt. Nature reviews. Immunology, 2012

1,054 citations recorded by the source corpus.

The heterogeneity in the healthy human immune system, and the immunological changes that portend various diseases, have been only partially described. Their comprehensive elucidation has been termed the 'Human Immunology Project'. The accurate measurement of variations in the human immune system requires precise and standardized assays to distinguish true biological changes from technical artefacts. Thus, to be successful, the Human Immunology Project will require standardized assays for immunophenotyping humans in health and disease. A major tool in this effort is flow cytometry, which remains highly variable with regard to sample handling, reagents, instrument setup and data analysis. In this Review, we outline the current state of standardization of flow cytometry assays and summarize the steps that are required to enable the Human Immunology Project.

Subfields: Immunology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/206367ee442f45cbada256f0735ed6eb5a67daba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Immunology

In Molecular Biology

Citations in the corpus

CRITICAL ASSESSMENT OF AUTOMATED FLOW CYTOMETRY DATA ANALYSIS TECHNIQUES (2013, background): “, those produced by the Human Immunology Project [52]) to design computational pipelines that are more robust to technical variation.”
The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability (2016, methodology): “…as the Gene Ontology Consortium [8, 9], the Immunology Database and Analysis Portal (ImmPort) [10], the Human Immunology Project Consortium (HIPC) [11], the Phenoscape project [12, 13], the Monarch Initiative [14], and model organism databases such as the Zebrafish Model Organism database (ZFIN)…”
Background fluorescence and spreading error are major contributors of variability in high‐dimensional flow cytometry data visualization by t‐distributed stochastic neighboring embedding (2018, background): “In the last years, much effort has been dedicated to har-monize ﬂ ow cytometry assays for basic science and clinical trials, especially in regard to machine standardization (3 – 6), reagents (7), protocols (8), and data analysis (9,10).”
OMIP-042: 21-color flow cytometry to comprehensively immunophenotype major lymphocyte and myeloid subsets in human peripheral blood (2017, background): “In summary, our 21-color panel provides a powerful tool for in-depth analysis of lymphoid and myeloid cells in the human peripheral blood with deep T cell analysis and coverage of most populations defined in the NIH’s Human Immunology Project.”
Tremelimumab in combination with ablation in patients with advanced hepatocellular carcinoma (2016, positive): “Activated T cells were analyzed by staining for CD3, CD4, CD8, CD38 and HLA-DR as previously described [14].”