Gene signatures from scRNA-seq accurately quantify mast cells in biopsies in asthma

Jian Jiang; Alen Faiz; Marijn Berg; Orestes A Carpaij; Corneel J Vermeulen; Sharon Brouwer; Laura Hesse; Sarah A Teichmann; Nick H T Ten Hacken; Wim Timens; Maarten van den Berge; Martijin C Nawijn

doi:10.1111/cea.13732

Gene signatures from scRNA-seq accurately quantify mast cells in biopsies in asthma

Clin Exp Allergy. 2020 Dec;50(12):1428-1431. doi: 10.1111/cea.13732. Epub 2020 Sep 23.

Authors

Jian Jiang^{1

2}, Alen Faiz^{1

3

4}, Marijn Berg^{1

2}, Orestes A Carpaij^{1

3}, Corneel J Vermeulen^{1

3}, Sharon Brouwer^{1

2}, Laura Hesse^{1

2}, Sarah A Teichmann^{5

6

7}, Nick H T Ten Hacken^{1

3}, Wim Timens^{1

2}, Maarten van den Berge^{1

3}, Martijin C Nawijn^{3

5}

Affiliations

¹ Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, Groningen, The Netherlands.
² Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
³ Department of Pulmonology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
⁴ Respiratory Bioinformatics and Molecular Biology (RBMB), Faculty of Science, University of Technology Sydney, Ultimo, NSW, Australia.
⁵ Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
⁶ Open Targets, Wellcome Genome Campus, Cambridge, UK.
⁷ Theory of Condensed Matter Group, Cavendish Laboratory/Dept Physics, University of Cambridge, Cambridge, UK.

No abstract available

Publication types

Letter

MeSH terms

Adult
Asthma / diagnosis
Asthma / genetics*
Asthma / immunology
Biopsy
Case-Control Studies
Female
Gene Expression Profiling*
Humans
Male
Mast Cells / immunology
Mast Cells / metabolism*
Middle Aged
Predictive Value of Tests
RNA-Seq*
Transcriptome*