ReviewThe Journal of allergy and clinical immunology2019
Single-cell analysis to understand the diversity of immune cell types that drive disease pathogenesis.
Review in The Journal of allergy and clinical immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Keratinocytes: pleiotropic orchestrators of cutaneous immunity and Inflammation - Emerging therapeutic paradigms in dermatological pathologies.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026Review
- Single-cell transcriptomics of granulocytes in asthma and atopic diseases.Frontiers in molecular biosciences · 2026Review
- The Major Role of Type 2 Inflammation in Asthma: From the Perspective of Immunological Mechanism.BioMed research international · 2026Review
- Single-cell transcriptome analysis reveals regulatory programs associated with tumor resistance during immunotherapy in colorectal cancer.International journal of surgery (London, England) · 2026Article
- Single-cell RNA transcriptome analysis reveals regulatory programs of RNA binding proteins in diabetic foot ulcers.Scientific reports · 2025Article
- Single-cell and bulk transcriptome profiling reveals RNA-binding protein regulatory programs in cervical cancer.Scientific reports · 2025Article
- Single cell analysis identifies distinct CD4 + T cells associated with the pathobiology of pediatric obesity related asthma.Scientific reports · 2025Article
- Single-cell transcriptome analysis reveals the dysregulated monocyte state associated with tuberculosis progression.BMC infectious diseases · 2025Article
- Insights into intestinal barrier disruption during long-term gutFrontiers in cellular and infection microbiology · 2025Article
- Single-Cell Sequencing Redefines Immune Heterogeneity and Communication Networks in ARDS: Toward Precision Therapeutics.International journal of genomics · 2025Review
- Molecular profiling and therapeutic tailoring to address disease heterogeneity in systemic lupus erythematosus.Clinical and experimental medicine · 2024Review
- Cytotoxic CD4Med (New York, N.Y.) · 2023Article
- Guided construction of single cell reference for human and mouse lung.Nature communications · 2023Article
- Single-cell transcriptomics reveals distinct cell response between acute and chronic pulmonary infection ofMedComm · 2022Article
- TREM2 macrophages induced by human lipids drive inflammation in acne lesions.Science immunology · 2022Article
- Single-cell transcriptomeFrontiers in cardiovascular medicine · 2022Article
- Epithelial barriers in allergy and asthma.The Journal of allergy and clinical immunology · 2020Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Single-cell next-generation sequencing assays are powerful tools to understand the nature of the immune cells that drive disease pathogenesis. In this brief review we explain the value of performing assays at single-cell resolution to better understand the pathogenesis of allergy, asthma, and other lung diseases. We explain the challenges in performing single-cell studies of airways and lung samples from patients with lung diseases. A major limitation comes from the amount of diseased tissue that can be used for research purposes. Finally, we discuss which sequencing strategies can be used to successfully investigate airway and lung diseases at single-cell resolution.
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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.