A robust pipeline for high-content, high-throughput immunophenotyping reveals age- and genetics-dependent changes in blood leukocytes
QUALITY-ASSURANCE
Science
B-Lymphocyte Subsets
QD415-436
Biochemistry
Article
Immunophenotyping
Medicine and Health Sciences
Leukocytes
Humans
ASSAY
OPTIMIZATION
MUTATION
CP: Systems biology
FLOW-CYTOMETRY
Q
HUMAN IMMUNE-SYSTEM
Biology and Life Sciences
Reproducibility of Results
CP: Immunology
PERFORMANCE
Flow Cytometry
3. Good health
CD45 GENE
VISUALIZATION
TP248.13-248.65
CELL RESPONSES
Biotechnology
DOI:
10.1016/j.crmeth.2023.100619
Publication Date:
2023-10-25T11:25:04Z
AUTHORS (14)
ABSTRACT
High-dimensional flow cytometry is the gold standard to study the human immune system in large cohorts. However, large sample sizes increase inter-experimental variation because of technical and experimental inaccuracies introduced by batch variability. Our high-throughput sample processing pipeline in combination with 28-color flow cytometry focuses on increased throughput (192 samples/experiment) and high reproducibility. We implemented quality control checkpoints to reduce technical and experimental variation. Finally, we integrated FlowSOM clustering to facilitate automated data analysis and demonstrate the reproducibility of our pipeline in a study with 3,357 samples. We reveal age-associated immune dynamics in 2,300 individuals, signified by decreasing T and B cell subsets with age. In addition, by combining genetic analyses, our approach revealed unique immune signatures associated with a single nucleotide polymorphism (SNP) that abrogates CD45 isoform splicing. In summary, we provide a versatile and reliable high-throughput, flow cytometry-based pipeline for immune discovery and exploration in large cohorts.
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