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Series GSE272879

Query DataSets for GSE272879

Status

Public on Jul 30, 2024

Title

RNAseq analysis of blood from influenza infected patients and healthy controls, project SIG_combined, subset 1

Sample organism

Experiment type

Expression profiling by high throughput sequencing

Summary

Study responses in peripheral blood of patients infected with influenza virus and compared to healthy control. Results: Strong differential host reponse after infection was observed.

Overall design

This record represents a subset of the combined data from four records submitted at the GEO-IDs: GSE155635, GSE158592, GSE196350, GSE213168, unique samples, day 1 only

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The table below lists GEO accessions reused/reanalyzed for this study.
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Contributor(s)

Citation missing

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Submission date

Jul 23, 2024

Last update date

Jul 30, 2024

Contact name

Klaus Schughart

E-mail(s)

labschughart@online.de

Phone

+49-159-0483-7911

Organization name

University Münster

Department

Virology

Street address

Von-Esmarch-Str 56

City

Münster

ZIP/Postal code

48149

Country

Germany

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TABLE OF REANALYZED/REUSED DATA - header descriptions
GEO Series	Link for GEO Series
GEO Sample	Link for GEO Sample
SRA Experiment	SRA Run Selector link for SRA Experiment
BioSample	SRA Run Selector link for BioSample
BioProject	SRA Run Selector link for BioProject
Sample title	Title of GEO Sample record

Data table
GEO Series	GEO Sample	SRA Experiment	BioSample	BioProject	Sample title
GSE158592	GSM4803598	SRX9192783	SAMN16265783	PRJNA665730	SIG_11 SIG-2018
GSE158592	GSM4803599	SRX9192784	SAMN16265782	PRJNA665730	SIG_122 SIG-2018
GSE158592	GSM4803600	SRX9192785	SAMN16265781	PRJNA665730	SIG_123 SIG-2018
GSE158592	GSM4803601	SRX9192786	SAMN16265780	PRJNA665730	SIG_124 SIG-2018
GSE158592	GSM4803602	SRX9192787	SAMN16265779	PRJNA665730	SIG_125 SIG-2018
GSE158592	GSM4803603	SRX9192788	SAMN16265778	PRJNA665730	SIG_126 SIG-2018
GSE158592	GSM4803604	SRX9192789	SAMN16265777	PRJNA665730	SIG_127 SIG-2018
GSE158592	GSM4803605	SRX9192790	SAMN16265776	PRJNA665730	SIG_128 SIG-2018
GSE158592	GSM4803606	SRX9192791	SAMN16265775	PRJNA665730	SIG_138 SIG-2018
GSE158592	GSM4803607	SRX9192792	SAMN16265774	PRJNA665730	SIG_139 SIG-2018
GSE158592	GSM4803608	SRX9192793	SAMN16265773	PRJNA665730	SIG_140 SIG-2018
GSE158592	GSM4803609	SRX9192794	SAMN16265772	PRJNA665730	SIG_141 SIG-2018
GSE158592	GSM4803610	SRX9192795	SAMN16265771	PRJNA665730	SIG_142 SIG-2018
GSE158592	GSM4803611	SRX9192796	SAMN16265770	PRJNA665730	SIG_143 SIG-2018
GSE158592	GSM4803612	SRX9192797	SAMN16265801	PRJNA665730	SIG_144 SIG-2018
GSE158592	GSM4803613	SRX9192798	SAMN16265800	PRJNA665730	SIG_145 SIG-2018
GSE158592	GSM4803614	SRX9192799	SAMN16265799	PRJNA665730	SIG_146 SIG-2018
GSE158592	GSM4803615	SRX9192800	SAMN16265798	PRJNA665730	SIG_147 SIG-2018
GSE158592	GSM4803616	SRX9192825	SAMN16265797	PRJNA665730	SIG_148 SIG-2018
GSE158592	GSM4803617	SRX9192826	SAMN16265796	PRJNA665730	SIG_149 SIG-2018

Total number of rows: 208

Table truncated, full table size 14 Kbytes.

Download family	Format
SOFT formatted family file(s)	SOFT
MINiML formatted family file(s)	MINiML
Series Matrix File(s)	TXT

Supplementary file	Size	Download	File type/resource
GSE272879_sbst1_norm_LIMMA_btch_corr_SIG_comb_2022_2020_2019_2018_181122_1.txt.gz	16.4 Mb	(ftp)(http)	TXT

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