Transcriptomes_of_human_lymphocytes

In this study we will compare the single cell transcriptomes of immune cells from asthmatics responding to steroids, those refractory to steroids, and a control population.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

Type: Transcriptome Analysis
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 5 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00001005064	Bronchoscopies were collected from healthy and asthma volunteers. Cohort inclusion criteria for all subjects were: age between 40 – 65 years and history of smoking < 10 pack years. For the asthmatics, inclusion criteria were: age of onset of asthmatic symptoms ≤12 years, documented history of asthma, use of inhaled corticosteroids with(out) β2-agonists due to respiratory symptoms and a positive provocation test (i.e. PC20 methacholine ≤8mg/ml with 2-minute protocol). For the non-asthmatic controls, the following criteria were essential for inclusion: absent history of asthma, no use of asthma-related medication, a negative provocation test (i.e. PC20 methacholine >8 mg/ml and adenosine 5'-monophosphate >320 mg/ml with 2-minute protocol), no pulmonary obstruction (i.e. FEV1/FVC ≥70%) and absence of lung function impairment (i.e. FEV1 ≥80% predicted). Asthmatics stopped inhaled corticosteroid use 6 weeks prior to all tests. All subjects were clinically characterised with pulmonary function and provocation tests, blood samples were drawn, and finally subjects underwent a bronchoscopy under sedation. If a subject developed upper respiratory symptoms, bronchoscopy was postponed for ≥6 weeks. Fibreoptic bronchoscopy was performed using a standardised protocol during conscious sedation. Six macroscopically adequate endobronchial biopsies were collected for this study, located between the 3rd and 6th generation of the right lower and middle lobe. Extracted biopsies were processed directly thereafter, with a maximum of one hour delay. The medical ethics committee of the Groningen University Medical Center Groningen approved the study, and all subjects gave their written informed consent.	Illumina HiSeq 2000 Illumina HiSeq 2500 Illumina HiSeq 4000	4087

Publications	Citations
SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes. Sungnak W, Huang N, Bécavin C, Berg M, Queen R, Litvinukova M, Talavera-López C, Maatz H, Reichart D, Sampaziotis F, Worlock KB, Yoshida M, Barnes JL, HCA Lung Biological Network. Nat Med 26: 2020 681-687	1530
Integrated Single-Cell Atlas of Endothelial Cells of the Human Lung. Schupp JC, Adams TS, Cosme C, Raredon MSB, Yuan Y, Omote N, Poli S, Chioccioli M, Rose KA, Manning EP, Sauler M, DeIuliis G, Ahangari F, Neumark N, Habermann AC, Gutierrez AJ, Bui LT, Lafyatis R, Pierce RW, Meyer KB, Nawijn MC, Teichmann SA, Banovich NE, Kropski JA, Niklason LE, Pe'er D, Yan X, Homer RJ, Rosas IO, Kaminski N. Circulation 144: 2021 286-302	112
Determinants of SARS-CoV-2 entry and replication in airway mucosal tissue and susceptibility in smokers. Nakayama T, Lee IT, Jiang S, Matter MS, Yan CH, Overdevest JB, Wu CT, Goltsev Y, Shih LC, Liao CK, Zhu B, Bai Y, Lidsky P, Xiao Y, Zarabanda D, Yang A, Easwaran M, Schürch CM, Chu P, Chen H, Stalder AK, McIlwain DR, Borchard NA, Gall PA, Dholakia SS, Le W, Xu L, Tai CJ, Yeh TH, Erickson-Direnzo E, Duran JM, Mertz KD, Hwang PH, Haslbauer JD, Jackson PK, Menter T, Andino R, Canoll PD, DeConde AS, Patel ZM, Tzankov A, Nolan GP, Nayak JV. Cell Rep Med 2: 2021 100421	12
An integrated cell atlas of the lung in health and disease. Sikkema L, Ramírez-Suástegui C, Strobl DC, Gillett TE, Zappia L, Madissoon E, Markov NS, Zaragosi LE, Ji Y, Ansari M, Arguel MJ, Apperloo L, Banchero M, Bécavin C, Berg M, Chichelnitskiy E, Chung MI, Collin A, Gay ACA, Gote-Schniering J, Hooshiar Kashani B, Inecik K, Jain M, Kapellos TS, Kole TM, Leroy S, Mayr CH, Oliver AJ, von Papen M, Peter L, Taylor CJ, Walzthoeni T, Xu C, Bui LT, De Donno C, Dony L, Faiz A, Guo M, Gutierrez AJ, Heumos L, Huang N, Ibarra IL, Jackson ND, Kadur Lakshminarasimha Murthy P, Lotfollahi M, Tabib T, Talavera-López C, Travaglini KJ, Wilbrey-Clark A, Worlock KB, Yoshida M, Lung Biological Network Consortium, van den Berge M, Bossé Y, Desai TJ, Eickelberg O, Kaminski N, Krasnow MA, Lafyatis R, Nikolic MZ, Powell JE, Rajagopal J, Rojas M, Rozenblatt-Rosen O, Seibold MA, Sheppard D, Shepherd DP, Sin DD, Timens W, Tsankov AM, Whitsett J, Xu Y, Banovich NE, Barbry P, Duong TE, Falk CS, Meyer KB, Kropski JA, Pe'er D, Schiller HB, Tata PR, Schultze JL, Teichmann SA, Misharin AV, Nawijn MC, Luecken MD, Theis FJ. Nat Med 29: 2023 1563-1577	60
FastCAR: fast correction for ambient RNA to facilitate differential gene expression analysis in single-cell RNA-sequencing datasets. Berg M, Petoukhov I, van den Ende I, Meyer KB, Guryev V, Vonk JM, Carpaij O, Banchero M, Hendriks RW, van den Berge M, Nawijn MC. BMC Genomics 24: 2023 722	1