1. Gene expression signatures of circulating human type 1, 2, and 3 innate lymphoid cells 
Shuo Li, PhD, Hideaki Morita, MD, PhD, Milena Sokolowska, MD, PhD, Ge Tan, PhD, Tadech Boonpiyathad, MD, MSc, Lennart Opitz, MSc, Keisuke Orimo, MD, Stuart K. Archer, PhD, Kirstin Jansen, MSc, Mimi L.K. Tang, MBBS, PhD, Damian Purcell, PhD, Magdalena Plebanski, PhD, Cezmi A. Akdis, MD 
Journal of Allergy and Clinical Immunology 
Volume 143, Issue 6, Pages (June 2019)
DOI: /j.jaci
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2. Fig 1
A, Multidimensional scaling plot of distances between gene expression profiles of samples. Distances on the plot approximate the log2 fold change between samples for the 500 most variable genes. B, Box plots shows expression of known key ILC gene signatures. C, Venn diagram showing the top 200 abundantly expressed genes by each ILC subset. D, Box plots showing expression of IL2RG, FXYD5, CD164, and HLA-E. E, Flow cytometric validation of CD164 protein expression.
Journal of Allergy and Clinical Immunology  , DOI: ( /j.jaci )
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3. Fig 2
A, Hierarchical clustering heat maps depicting differential expression between the 3 ILC subsets. Blocks of colors on right represent broad clusters of genes that were used for analyzing gene ontology classes elsewhere. Gene expression changes (log2 fold changes from their mean values) are represented by colors (blue to red) in the heat map. B, Volcano plots of statistical significance (−log10 [P value], y-axis) versus the magnitude of change in expression (log2 fold change in RNA abundance, x-axis) of genes comparing each ILC subset with the 2 other subsets. Dot colors: significant in red, present in black, and absent in gray. C, Examples of differentially expressed genes (false discovery rate, <0.01; fold change, >1.5) for transcription factors, cytokines and chemokines, antigen presentation, and innate immunity. Average FPKM values are color coded from blue (lowest) to red (highest). D, Expression of TCR constant regions and their relation to T-cell linage markers in these ILC subsets.
Journal of Allergy and Clinical Immunology  , DOI: ( /j.jaci )
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