Multiparameter Single Cell Profiling of Airway Inflammatory Cells
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 underpi...
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| Published in | Cytometry. Part B, Clinical cytometry Vol. 92; no. 1; pp. 12 - 20 |
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| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
Wiley Subscription Services, Inc
01.01.2017
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| Online Access | Get full text |
| ISSN | 1552-4949 1552-4957 1552-4957 |
| DOI | 10.1002/cyto.b.21491 |
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| 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 |
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| AbstractList | 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. copyright 2016 International Clinical Cytometry Society 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 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. 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 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.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. 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. Due to 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. |
| Author | Niu, Naiqian Krishnaswamy, Smita Britto, Clemente J. Montgomery, Ruth R. Wang, Xiaomei Welp, Tobias Chupp, Geoffrey L. Liu, Qing Yao, Yi |
| AuthorAffiliation | 2 Department of Genetics, Yale University School of Medicine, New Haven, CT 1 Department of Internal Medicine, Yale University School of Medicine, New Haven, CT |
| AuthorAffiliation_xml | – name: 2 Department of Genetics, Yale University School of Medicine, New Haven, CT – name: 1 Department of Internal Medicine, Yale University School of Medicine, New Haven, CT |
| Author_xml | – sequence: 1 givenname: Yi surname: Yao fullname: Yao, Yi organization: Yale University School of Medicine – sequence: 2 givenname: Tobias surname: Welp fullname: Welp, Tobias organization: Yale University School of Medicine – sequence: 3 givenname: Qing surname: Liu fullname: Liu, Qing organization: Yale University School of Medicine – sequence: 4 givenname: Naiqian surname: Niu fullname: Niu, Naiqian organization: Yale University School of Medicine – sequence: 5 givenname: Xiaomei surname: Wang fullname: Wang, Xiaomei organization: Yale University School of Medicine – sequence: 6 givenname: Clemente J. surname: Britto fullname: Britto, Clemente J. organization: Yale University School of Medicine – sequence: 7 givenname: Smita surname: Krishnaswamy fullname: Krishnaswamy, Smita organization: Yale University School of Medicine – sequence: 8 givenname: Geoffrey L. surname: Chupp fullname: Chupp, Geoffrey L. organization: Yale University School of Medicine – sequence: 9 givenname: Ruth R. surname: Montgomery fullname: Montgomery, Ruth R. email: Ruth.Montgomery@yale.edu organization: Yale University School of Medicine |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27807928$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1056/NEJMc1502191 10.1146/annurev.immunol.22.012703.104716 10.1016/j.jaci.2013.10.011 10.1126/scitranslmed.aab3881 10.1164/rccm.201403-0505OC 10.1152/ajplung.00221.2013 10.4049/jimmunol.1100436 10.1038/pr.2013.237 10.1016/j.jim.2014.10.010 10.1016/j.jpeds.2008.05.005 10.1016/j.cell.2016.04.019 10.1159/000363242 10.1016/j.jaci.2016.04.060 10.1002/cyto.a.22271 10.1002/cyto.a.22992 10.1126/scitranslmed.aac5722 10.1002/cyto.a.22935 10.1164/rccm.200906-0896OC 10.1021/ac901049w 10.1056/NEJMoa073600 10.1126/scitranslmed.3009701 10.1159/000271607 10.1056/NEJMoa0708801 10.1164/ajrccm.164.8.2104075 10.1126/science.1198704 10.1016/j.jaci.2013.12.1091 10.1186/s40413-016-0094-3 10.1056/NEJMra043184 10.1073/pnas.0712386105 10.1186/s12967-014-0374-z 10.4049/jimmunol.149.11.3710 10.3109/08958378.2011.575568 10.1038/nbt.2594 10.1111/j.1398-9995.2010.02431.x 10.1073/pnas.1408792111 10.1089/jir.2011.0027 10.1016/j.jcf.2012.07.003 10.1164/rccm.201408-1440OC 10.1164/rccm.200903-0392OC 10.1074/jbc.M406997200 10.1038/nri2870 10.1097/ACI.0b013e3283306533 10.1186/1471-2466-13-11 10.1016/j.imbio.2011.11.008 |
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| Keywords | immune response cystic fibrosis asthma lung disease sputum mass cytometry eosinophil CyTOF neutrophils |
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| Notes | This work was supported in part by the National Institutes of Health (HHS N272201100019C, R01 HL118346, R01 HL‐095390, 1K01HL125514‐01). None of the authors have any commercial or other association that may pose a conflict of interest for this work. The authors gratefully acknowledge the valuable assistance of Ms. Carole Holm. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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| References | 2015; 13 2014; 415 2004; 22 2010; 10 2001; 164 2005; 352 2009; 81 2011 2009; 180 2014; 190 1992; 149 2011; 31 2008; 9 2016; 165 2008; 105 2010; 181 2014; 133 2014; 111 2010; 80 2012; 11 2015; 7 2011; 332 2013; 83A 2015; 372 2014; 306 2007; 357 2015; 191 2004; 279 2013; 13 2004; 14 2013; 31 2011; 66 2009; 9 2008; 358 2016 2015 2011; 23 2014; 6 2008; 153 2012; 217 2016; 9 2011; 187 2014; 75 2012; 62 e_1_2_5_27_1 e_1_2_5_25_1 e_1_2_5_48_1 e_1_2_5_23_1 e_1_2_5_46_1 e_1_2_5_21_1 e_1_2_5_44_1 e_1_2_5_29_1 Dominguez Ortega J (e_1_2_5_17_1) 2004; 14 e_1_2_5_42_1 e_1_2_5_40_1 e_1_2_5_15_1 e_1_2_5_36_1 e_1_2_5_9_1 e_1_2_5_11_1 e_1_2_5_34_1 e_1_2_5_7_1 e_1_2_5_32_1 e_1_2_5_5_1 e_1_2_5_3_1 e_1_2_5_19_1 Maaten L (e_1_2_5_38_1) 2008; 9 Qian F (e_1_2_5_50_1) 2012; 62 e_1_2_5_30_1 e_1_2_5_28_1 e_1_2_5_49_1 e_1_2_5_26_1 e_1_2_5_47_1 e_1_2_5_24_1 e_1_2_5_45_1 e_1_2_5_22_1 e_1_2_5_43_1 Akinbami LJ (e_1_2_5_2_1) 2011 e_1_2_5_20_1 e_1_2_5_41_1 e_1_2_5_14_1 e_1_2_5_39_1 e_1_2_5_16_1 e_1_2_5_37_1 e_1_2_5_8_1 Foundation CF. (e_1_2_5_13_1) 2015 e_1_2_5_10_1 e_1_2_5_35_1 e_1_2_5_6_1 e_1_2_5_12_1 e_1_2_5_33_1 e_1_2_5_4_1 e_1_2_5_18_1 e_1_2_5_31_1 |
| References_xml | – volume: 66 start-page: 85 year: 2011 end-page: 91 article-title: Robust expression of CCR3 as a single basophil selection marker in flow cytometry publication-title: Allergy – volume: 9 start-page: 7 year: 2016 article-title: Biomarkers of the involvement of mast cells, basophils and eosinophils in asthma and allergic diseases publication-title: World Allergy Organ J – volume: 9 start-page: 2579 year: 2008 end-page: 2605 article-title: Visualizing Data using t‐SNE publication-title: J Mach Learn Res – volume: 31 start-page: 485 year: 2011 end-page: 491 article-title: Macrophages in allergic asthma: Fine‐tuning their pro‐ and anti‐inflammatory actions for disease resolution publication-title: J Interferon Cytokine Res – volume: 6 start-page: 255ra131 year: 2014 article-title: Clinical recovery from surgery correlates with single‐cell immune signatures publication-title: Sci Transl Med – volume: 217 start-page: 692 year: 2012 end-page: 697 article-title: Flow cytometry analysis of leukocytes in induced sputum from asthmatic patients publication-title: Immunobiology – volume: 180 start-page: 388 year: 2009 end-page: 395 article-title: T‐helper type 2‐driven inflammation defines major subphenotypes of asthma publication-title: Am J Respir Crit Care Med – volume: 181 start-page: 315 year: 2010 end-page: 323 article-title: Identification of asthma phenotypes using cluster analysis in the Severe Asthma Research Program publication-title: Am J Respir Crit Care Med – volume: 190 start-page: 639 year: 2014 end-page: 648 article-title: Epithelial interleukin‐25 is a key mediator in Th2‐high, corticosteroid‐responsive asthma publication-title: Am J Respir Crit Care Med – volume: 7 start-page: 295ra109 year: 2015 article-title: The proinflammatory role of HECTD2 in innate immunity and experimental lung injury publication-title: Sci Trans Med – volume: 14 start-page: 108 year: 2004 end-page: 113 article-title: Fluorocytometric analysis of induced sputum cells in an asthmatic population publication-title: J Investig Allergol Clin Immunol – volume: 415 start-page: 1 year: 2014 end-page: 5 article-title: CyTOF supports efficient detection of immune cell subsets from small samples publication-title: J. Immunol. Methods – volume: 357 start-page: 2016 year: 2007 end-page: 2027 article-title: A chitinase‐like protein in the lung and circulation of patients with severe asthma publication-title: N Engl J Med – volume: 62 start-page: e3741 year: 2012 article-title: Quantitative imaging of lineage specific Toll‐like receptor mediated signaling in monocytes and dendritic cells from small samples of human blood publication-title: JoVE – volume: 10 start-page: 838 year: 2010 end-page: 848 article-title: Functions of T cells in asthma: More than just T(H)2 cells publication-title: Nat Rev Immunol – volume: 80 start-page: 393 year: 2010 end-page: 400 article-title: Novel method to process cystic fibrosis sputum for determination of oxidative state publication-title: Respiration – year: 2016 article-title: Standardization and quality control for high‐dimensional mass cytometry studies of human samples publication-title: Cytometry A – volume: 332 start-page: 687 year: 2011 end-page: 696 article-title: Single‐cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum publication-title: Science – volume: 191 start-page: 1116 year: 2015 end-page: 1125 article-title: Non‐invasive analysis of the sputum transcriptome discriminates clinical phenotypes of asthma publication-title: Am J Respir Crit Care Med – year: 2015 – volume: 13 start-page: 19 year: 2015 article-title: Design of a multi‐center immunophenotyping analysis of peripheral blood, sputum and bronchoalveolar lavage fluid in the Subpopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS) publication-title: J Transl Med – volume: 306 start-page: L80 year: 2014 end-page: L87 article-title: Progranulin is a substrate for neutrophil‐elastase and proteinase‐3 in the airway and its concentration correlates with mediators of airway inflammation in COPD publication-title: Am J Physiol Lung Cell Mol Physiol – volume: 13 start-page: 11 year: 2013 article-title: Distribution of sputum cellular phenotype in a large asthma cohort: Predicting factors for eosinophilic vs neutrophilic inflammation publication-title: BMC Pulm Med – volume: 105 start-page: 4335 year: 2008 end-page: 4339 article-title: Profound functional and signaling changes in viable inflammatory neutrophils homing to cystic fibrosis airways publication-title: Proc Natl Acad Sci U S A – volume: 83A start-page: 483 year: 2013 end-page: 494 article-title: Normalization of mass cytometry data with bead standards publication-title: Cytometry A – volume: 352 start-page: 1992 year: 2005 end-page: 2001 article-title: Cystic fibrosis publication-title: N Engl J Med – year: 2016 article-title: Assessing basophil activation by using flow cytometry and mass cytometry in blood stored 24 hours before analysis publication-title: J Allergy Clin Immunol – volume: 187 start-page: 3815 year: 2011 end-page: 3820 article-title: IFN‐gamma acts on the airway epithelium to inhibit local and systemic pathology in allergic airway disease publication-title: J Immunol – volume: 7 start-page: 297ra115 year: 2015 article-title: NK cell repertoire diversity reflects immune experience and predicts viral susceptibility publication-title: Sci Trans Med – volume: 133 start-page: 1557 year: 2014 end-page: 1563 article-title: Sputum neutrophil counts are associated with more severe asthma phenotypes using cluster analysis publication-title: J Allergy Clin Immunol – volume: 22 start-page: 789 year: 2004 end-page: 815 article-title: Asthma: Mechanisms of disease persistence and progression publication-title: Annu Rev Immunol – volume: 279 start-page: 54117 year: 2004 end-page: 54123 article-title: CD200 receptor family members represent novel DAP12‐associated activating receptors on basophils and mast cells publication-title: J Biol Chem – volume: 23 start-page: 392 year: 2011 end-page: 406 article-title: Flow cytometry of sputum: Assessing inflammation and immune response elements in the bronchial airways publication-title: Inhal Toxicol – volume: 31 start-page: 545 year: 2013 end-page: 552 article-title: viSNE enables visualization of high dimensional single‐cell data and reveals phenotypic heterogeneity of leukemia publication-title: Nat Biotechnol – volume: 165 start-page: 780 year: 2016 end-page: 791 article-title: Mass cytometry: Single cells, many features publication-title: Cell – volume: 153 start-page: S4 year: 2008 end-page: S14 article-title: Guidelines for diagnosis of cystic fibrosis in newborns through older adults: Cystic Fibrosis Foundation consensus report publication-title: J Pediatr – volume: 133 start-page: 997 year: 2014 end-page: 1007 article-title: Sputum gene expression signature of 6 biomarkers discriminates asthma inflammatory phenotypes publication-title: J Allergy Clin Immunol – start-page: 1 year: 2011 end-page: 14 article-title: Asthma prevalence, health care use, and mortality: United States, 2005‐2009 publication-title: Natl Health Stat Report – volume: 111 start-page: E2770 year: 2014 end-page: E2777 article-title: Automated identification of stratifying signatures in cellular subpopulations publication-title: Proc Natl Acad Sci U S A – volume: 6 start-page: 765 year: 2014 end-page: 779 article-title: Cystic fibrosis sputum DNA has NETosis characteristics and neutrophil extracellular trap release is regulated by macrophage migration‐inhibitory factor publication-title: J Innate Immun – volume: 372 start-page: 1574 year: 2015 end-page: 1575 article-title: Origins of cystic fibrosis lung disease publication-title: N Engl J Med – volume: 81 start-page: 6813 year: 2009 end-page: 6822 article-title: Mass cytometry: technique for real time single cell multitarget immunoassay based on inductively coupled plasma time‐of‐flight mass spectrometry publication-title: Anal Chem – volume: 75 start-page: 403 year: 2014 end-page: 408 article-title: Improvement in asthma control and inflammation in children undergoing adenotonsillectomy publication-title: Pediatr Res – volume: 149 start-page: 3710 year: 1992 end-page: 3718 article-title: Comparison of airway and blood eosinophil function after in vivo antigen challenge publication-title: J Immunol – volume: 164 start-page: 1425 year: 2001 end-page: 1431 article-title: Airway inflammation in children with cystic fibrosis and healthy children assessed by sputum induction publication-title: Am J Respir Crit Care Med – volume: 9 start-page: 401 year: 2009 end-page: 408 article-title: The chitinase and chitinase‐like proteins: A review of genetic and functional studies in asthma and immune‐mediated diseases publication-title: Curr Opin Allergy Clin Immunol – volume: 358 start-page: 1682 year: 2008 end-page: 1691 article-title: Effect of variation in CHI3L1 on serum YKL‐40 level, risk of asthma, and lung function publication-title: N Engl J Med – year: 2016 article-title: High standards for high dimensional investigations publication-title: Cytometry A – volume: 11 start-page: 363 year: 2012 end-page: 382 article-title: Innate immunity in cystic fibrosis lung disease publication-title: J Cyst Fibros – ident: e_1_2_5_11_1 doi: 10.1056/NEJMc1502191 – ident: e_1_2_5_3_1 doi: 10.1146/annurev.immunol.22.012703.104716 – ident: e_1_2_5_15_1 doi: 10.1016/j.jaci.2013.10.011 – ident: e_1_2_5_34_1 doi: 10.1126/scitranslmed.aab3881 – ident: e_1_2_5_6_1 doi: 10.1164/rccm.201403-0505OC – ident: e_1_2_5_24_1 doi: 10.1152/ajplung.00221.2013 – ident: e_1_2_5_23_1 doi: 10.4049/jimmunol.1100436 – ident: e_1_2_5_33_1 doi: 10.1038/pr.2013.237 – ident: e_1_2_5_30_1 doi: 10.1016/j.jim.2014.10.010 – ident: e_1_2_5_35_1 doi: 10.1016/j.jpeds.2008.05.005 – start-page: 1 year: 2011 ident: e_1_2_5_2_1 article-title: Asthma prevalence, health care use, and mortality: United States, 2005‐2009 publication-title: Natl Health Stat Report – ident: e_1_2_5_25_1 doi: 10.1016/j.cell.2016.04.019 – ident: e_1_2_5_10_1 doi: 10.1159/000363242 – ident: e_1_2_5_43_1 doi: 10.1016/j.jaci.2016.04.060 – ident: e_1_2_5_37_1 doi: 10.1002/cyto.a.22271 – volume: 62 start-page: e3741 year: 2012 ident: e_1_2_5_50_1 article-title: Quantitative imaging of lineage specific Toll‐like receptor mediated signaling in monocytes and dendritic cells from small samples of human blood publication-title: JoVE – ident: e_1_2_5_49_1 doi: 10.1002/cyto.a.22992 – ident: e_1_2_5_29_1 doi: 10.1126/scitranslmed.aac5722 – ident: e_1_2_5_48_1 doi: 10.1002/cyto.a.22935 – ident: e_1_2_5_4_1 doi: 10.1164/rccm.200906-0896OC – ident: e_1_2_5_26_1 doi: 10.1021/ac901049w – ident: e_1_2_5_31_1 doi: 10.1056/NEJMoa073600 – ident: e_1_2_5_28_1 doi: 10.1126/scitranslmed.3009701 – ident: e_1_2_5_41_1 doi: 10.1159/000271607 – ident: e_1_2_5_32_1 doi: 10.1056/NEJMoa0708801 – ident: e_1_2_5_36_1 doi: 10.1164/ajrccm.164.8.2104075 – ident: e_1_2_5_27_1 doi: 10.1126/science.1198704 – ident: e_1_2_5_7_1 doi: 10.1016/j.jaci.2013.12.1091 – ident: e_1_2_5_46_1 doi: 10.1186/s40413-016-0094-3 – ident: e_1_2_5_9_1 doi: 10.1056/NEJMra043184 – ident: e_1_2_5_42_1 doi: 10.1073/pnas.0712386105 – volume: 14 start-page: 108 year: 2004 ident: e_1_2_5_17_1 article-title: Fluorocytometric analysis of induced sputum cells in an asthmatic population publication-title: J Investig Allergol Clin Immunol – ident: e_1_2_5_20_1 doi: 10.1186/s12967-014-0374-z – ident: e_1_2_5_16_1 doi: 10.4049/jimmunol.149.11.3710 – ident: e_1_2_5_18_1 doi: 10.3109/08958378.2011.575568 – ident: e_1_2_5_39_1 doi: 10.1038/nbt.2594 – ident: e_1_2_5_44_1 doi: 10.1111/j.1398-9995.2010.02431.x – ident: e_1_2_5_40_1 doi: 10.1073/pnas.1408792111 – ident: e_1_2_5_22_1 doi: 10.1089/jir.2011.0027 – ident: e_1_2_5_12_1 doi: 10.1016/j.jcf.2012.07.003 – ident: e_1_2_5_8_1 doi: 10.1164/rccm.201408-1440OC – ident: e_1_2_5_5_1 doi: 10.1164/rccm.200903-0392OC – volume: 9 start-page: 2579 year: 2008 ident: e_1_2_5_38_1 article-title: Visualizing Data using t‐SNE publication-title: J Mach Learn Res – ident: e_1_2_5_45_1 doi: 10.1074/jbc.M406997200 – volume-title: Cystic Fibrosis Foundation Patient Registry year: 2015 ident: e_1_2_5_13_1 – ident: e_1_2_5_21_1 doi: 10.1038/nri2870 – ident: e_1_2_5_47_1 doi: 10.1097/ACI.0b013e3283306533 – ident: e_1_2_5_14_1 doi: 10.1186/1471-2466-13-11 – ident: e_1_2_5_19_1 doi: 10.1016/j.imbio.2011.11.008 |
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| Snippet | Airway diseases affect over 7% of the U.S. population and millions of patients worldwide. Asthmatic patients have wide variation in clinical severity with... |
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| SubjectTerms | Adolescent Adult Asthma Asthma - diagnosis Asthma - immunology Asthma - pathology Biomarkers - analysis cystic fibrosis CyTOF eosinophil Eosinophils - cytology Eosinophils - immunology Female Flow Cytometry - methods Heterogeneity Humans immune response Immune status Leukocyte Count - methods lung disease Male mass cytometry Middle Aged neutrophils Neutrophils - cytology Neutrophils - immunology Respiratory System - cytology sputum Sputum - cytology Young Adult |
| Title | Multiparameter Single Cell Profiling of Airway Inflammatory Cells |
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