ArticlePloS one2014
Fluorescently activated cell sorting followed by microarray profiling of helper T cell subtypes from human peripheral blood.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Impact of Confounding Factors in Human Postmortem Brain Tissues on Gene Expression Profiles: A Comparison of Patients With Schizophrenia, Bipolar Disorder, and Nonpsychiatric Controls.Neuropsychopharmacology reports · 2025Article
- Exploring the Genetic Landscape of Vitiligo in the Pura Raza Español Horse: A Genomic Perspective.Animals : an open access journal from MDPI · 2024Article
- Human CCR6+ Th Cells Show Both an Extended Stable Gradient of Th17 Activity and Imprinted Plasticity.Journal of immunology (Baltimore, Md. : 1950) · 2023Article
- The influence of tissue pH and RNA integrity number on gene expression of human postmortem brain.Frontiers in psychiatry · 2023Article
- Chronic lymphocytic leukemia-like monoclonal B-cell lymphocytosis exhibits an increased inflammatory signature that is reduced in early-stage chronic lymphocytic leukemia.Experimental hematology · 2021Article
- Spontaneously Resolved Atopic Dermatitis Shows Melanocyte and Immune Cell Activation Distinct From Healthy Control Skin.Frontiers in immunology · 2021Article
- Coupling Fluorescence-Activated Cell Sorting and Targeted Analysis of Histone Modification Profiles in Primary Human Leukocytes.Journal of the American Society for Mass Spectrometry · 2019Article
- Altered differentiation is central to HIV-specific CD4Nature immunology · 2019Article
- Neonatal T Follicular Helper Cells Are Lodged in a Pre-T Follicular Helper Stage Favoring Innate Over Adaptive Germinal Center Responses.Frontiers in immunology · 2019Article
- Decreased Lymphocyte-to-Monocyte Ratio Predicts Poor Prognosis of Acute Ischemic Stroke Treated with Thrombolysis.Medical science monitor : international medical journal of experimental and clinical research · 2017Article
- Gene expression patterns in CD4+ peripheral blood cells in healthy subjects and stage IV melanoma patients.Cancer immunology, immunotherapy : CII · 2015Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPeripheral blood samples have been subjected to comprehensive gene expression profiling to identify biomarkers for a wide range of diseases. However, blood samples include red blood cells, white blood cells, and platelets. White blood cells comprise polymorphonuclear leukocytes, monocytes, and various types of lymphocytes. Blood is not distinguishable, irrespective of whether the expression profiles reflect alterations in (a) gene expression patterns in each cell type or (b) the proportion of cell types in blood. CD4+ Th cells are classified into two functionally distinct subclasses, namely Th1 and Th2 cells, on the basis of the unique characteristics of their secreted cytokines and their roles in the immune system. Th1 and Th2 cells play an important role not only in the pathogenesis of human inflammatory, allergic, and autoimmune diseases, but also in diseases that are not considered to be immune or inflammatory disorders. However, analyses of minor cellular components such as CD4+ cell subpopulations have not been performed, partly because of the limited number of these cells in collected samples. METHODOLOGY/PRINCIPAL
findingsWe describe fluorescently activated cell sorting followed by microarray (FACS-array) technology as a useful experimental strategy for characterizing the expression profiles of specific immune cells in the circulation. We performed reproducible gene expression profiling of Th1 and Th2, respectively. Our data suggest that this procedure provides reliable information on the gene expression profiles of certain small immune cell populations. Moreover, our data suggest that GZMK, GZMH, EOMES, IGFBP3, and STOM may be novel markers for distinguishing Th1 cells from Th2 cells, whereas IL17RB and CNTNAP1 can be Th2-specific markers. CONCLUSIONS/SIGNIFICANCE: Our approach may help in identifying aberrations and novel therapeutic or diagnostic targets for diseases that affect Th1 or Th2 responses and elucidating the involvement of a subpopulation of immune cells in some diseases.
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