ArticleCytometry. Part B, Clinical cytometry2017
Multiparameter Single Cell Profiling of Airway Inflammatory Cells.
Article in Cytometry. Part B, Clinical cytometry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Activated sputum eosinophils associated with exacerbations in children on mepolizumab.The Journal of allergy and clinical immunology · 2024Trial
- Profiling cellular heterogeneity in asthma with single cell multiparameter CyTOF.Journal of leukocyte biology · 2020Trial
- Bronchial Epithelial Cell CC16 mRNA: Novel Asthma Biomarker or the Same Book with a New Cover?American journal of respiratory and critical care medicine · 2023Article
- Single-Cell RNA Sequencing Reveals New Basic and Translational Insights in the Cystic Fibrosis Lung.American journal of respiratory cell and molecular biology · 2023Review
- Using mass cytometry for the analysis of samples of the human airways.Frontiers in immunology · 2022Article
- SPLUNC1: a novel marker of cystic fibrosis exacerbations.The European respiratory journal · 2021Article
- Immunophenotyping assessment in a COVID-19 cohort (IMPACC): A prospective longitudinal study.Science immunology · 2021Article
- Maternal obesity is associated with phenotypic alterations in fetal immune cells by single-cell mass cytometry.American journal of reproductive immunology (New York, N.Y. : 1989) · 2021Article
- Single-Cell Transcriptional Archetypes of Airway Inflammation in Cystic Fibrosis.American journal of respiratory and critical care medicine · 2020Article
- Single cell immune profiling of dengue virus patients reveals intact immune responses to Zika virus with enrichment of innate immune signatures.PLoS neglected tropical diseases · 2020Article
- Review
- The road ahead: Implementing mass cytometry in clinical studies, one cell at a time.Cytometry. Part B, Clinical cytometry · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Airway diseases affect over 7% of the U.S. population and millions of patients worldwide. Asthmatic patients have wide variation in clinical severity with different clinical and physiologic manifestations of disease that may be driven by distinct biologic mechanisms. Further, the immunologic underpinnings of this complex trait disease are heterogeneous and treatment success depends on defining subgroups of asthmatics. Because of the limited availability and number of cells from the lung, the active site, in-depth investigation has been challenging. Recent advances in technology support transcriptional analysis of cells from induced sputum. Flow cytometry studies have described cells present in the sputum but a detailed analysis of these subsets is lacking. Mass cytometry or CyTOF (Cytometry by Time-Of-Flight) offers tremendous opportunities for multiparameter single cell analysis. Experiments can now allow detection of up to ∼40 markers to facilitate unprecedented multidimensional cellular analyses. Here we demonstrate the use of CyTOF on primary airway samples obtained from well-characterized patients with asthma and cystic fibrosis. Using this technology, we quantify cellular frequency and functional status of defined cell subsets. Our studies provide a blueprint to define the heterogeneity among subjects and underscore the power of this single cell method to characterize airway immune status. © 2016 International Clinical Cytometry Society.
Indexed as
Identifiers
What OpenQuestion holds
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.