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Series GSE151764 Query DataSets for GSE151764
Status Public on Sep 02, 2020
Title Two distinct immunopathological profiles in lungs of lethal COVID-19
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Immune responses in lungs of Coronavirus Disease 2019 (COVID-19) are poorly characterized. We conducted transcriptomic, histologic and cellular profiling of post mortem COVID-19 and normal lung tissues. Two distinct immunopathological reaction patterns were identified. One pattern showed high expression of interferon stimulated genes (ISGs) and cytokines, high viral loads and limited pulmonary damage, the other pattern showed severely damaged lungs, low ISGs, low viral loads and abundant immune infiltrates. Distinct patterns of pulmonary COVID-19 immune responses correlated to hospitalization time and may guide treatment and vaccination approaches.
 
Overall design Here we analyzed 34 post mortem lung samples from 16 deceased COVID-19 patients and 9 post mortem lung samples from 6 patients who died from non-infectious causes.
Please note that each processed data file was gnerated from muliptle samples, as indicated in the corresponding sample description field.
 
Contributor(s) Nienhold R, Ciani Y, Koelzer VH, Tzankov A, Haslbauer JD, Menter T, Schwab N, Henkel M, Zsikla V, Willi N, Kempf W, Hoyler T, Barbareschi M, Moch H, Tolnay M, Cathomas G, Demichelis F, Junt T, Mertz KD
Citation(s) 33033248
Submission date Jun 03, 2020
Last update date May 26, 2021
Contact name Ronny Nienhold
Organization name Cantonal Hospital Baselland
Department Institute of Pathology
Street address Mühlemattstrasse 11
City Liestal
ZIP/Postal code 4410
Country Switzerland
 
Platforms (1)
GPL24014 Ion Torrent S5 XL (Homo sapiens)
Samples (56)
GSM4590167 C12_31_nCOV_OIRRA_Lib19_20200402
GSM4590168 C12_32_nCOV_OIRRA_Lib20_20200402
GSM4590169 C12_36_nCOV_OIRRA_Lib21_20200402
Relations
BioProject PRJNA637143
SRA SRP265869

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE151764_user_S5-0093-268-OIRRA_b_20200402.bcmatrix.csv.gz 23.0 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-268-OIRRA_b_20200402.mean_hk_scaled_log2_count.csv.gz 37.0 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-268-OIRRA_b_20200402.rpm.bcmatrix.csv.gz 30.1 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-269-OIRRA_2b_20200402.bcmatrix.csv.gz 20.2 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-269-OIRRA_2b_20200402.mean_hk_scaled_log2_count.csv.gz 30.7 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-269-OIRRA_2b_20200402.rpm.bcmatrix.csv.gz 25.5 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-272-OIRRA_20200409_574.bcmatrix.csv.gz 21.1 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-272-OIRRA_20200409_574.mean_hk_scaled_log2_count.csv.gz 32.8 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-272-OIRRA_20200409_574.rpm.bcmatrix.csv.gz 27.1 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-273-OIRRA_2_20200409_575.bcmatrix.csv.gz 22.1 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-273-OIRRA_2_20200409_575.mean_hk_scaled_log2_count.csv.gz 35.1 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-273-OIRRA_2_20200409_575.rpm.bcmatrix.csv.gz 28.8 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-278-OIRRA_20200423_580.bcmatrix.csv.gz 14.8 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-278-OIRRA_20200423_580.mean_hk_scaled_log2_count.csv.gz 18.6 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-278-OIRRA_20200423_580.rpm.bcmatrix.csv.gz 16.8 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-279-OIRRA_2_20200423_581.bcmatrix.csv.gz 22.2 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-279-OIRRA_2_20200423_581.mean_hk_scaled_log2_count.csv.gz 35.3 Kb (ftp)(http) CSV
GSE151764_user_S5-0093-279-OIRRA_2_20200423_581.rpm.bcmatrix.csv.gz 29.0 Kb (ftp)(http) CSV
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