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Series GSE160169 Query DataSets for GSE160169
Status Public on Sep 22, 2021
Title Dual RNA-seq transcriptome analysis of chicken caeca infected with Eimeria tenella
Organism Gallus gallus
Experiment type Expression profiling by high throughput sequencing
Summary In order to elucidate the infection mechanisms of Eimeria tenella and the chicken immune response, chickens were infected with Eimeria tenella strain Hougton sporozoites. Samples were taken at 0, 1, 2, 3, 4 and 10 days post-infection and mRNA sequenced. A dual-RNA seq analysis was carried out, comparing the expression of infected chickens during each sampling time point with uninfected chickens and comparing E. tenella samples during the infection with a sample of pure sporozoites. The results show a variety of response signals in the chicken, both previously known and unknown, as well as a clear role for a variety of infection-related genes in E. tenella
 
Overall design mRNA profiles of chicken caeca, both uninfected and infected with Eimeria tenella sporozoites
 
Contributor(s) Sandholt AK, Wattrang E, Lilja T, Ahola H, Lundén A, Troell KG, Svärd S, Söderlund R
Citation(s) 34521339
Submission date Oct 26, 2020
Last update date Sep 22, 2021
Contact name Arnar Kari Sigurdarson Sandholt
E-mail(s) a.k.sigurdarsonsandholt@uu.nl
Organization name Utrecht University
Department IRAS
Street address Yalelaan 2
City Utrecht
ZIP/Postal code 3584 CM
Country Netherlands
 
Platforms (1)
GPL26853 Illumina NovaSeq 6000 (Gallus gallus)
Samples (36)
GSM4861797 Infected 4d replicate 1
GSM4861798 Infected 2d replicate 1
GSM4861799 Infected 1d replicate 1
Relations
BioProject PRJNA672156
SRA SRP288913

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
GSE160169_chicken_counts.csv.gz 1.5 Mb (ftp)(http) CSV
GSE160169_chicken_counts_norm.csv.gz 4.9 Mb (ftp)(http) CSV
GSE160169_eimeria_counts.csv.gz 278.9 Kb (ftp)(http) CSV
GSE160169_eimeria_counts_norm.csv.gz 524.9 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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