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Series GSE209924 Query DataSets for GSE209924
Status Public on Aug 10, 2022
Title Transcriptomic analysis of the abundance of snoRNAs and their host genes in 4 different cell lines, using low structure bias TGIRT-seq
Organism Homo sapiens
Experiment type Other
Summary Small nucleolar RNAs (snoRNAs) are highly abundant non-coding RNAs whose canonical function is to guide the 2’-O-ribose methylation or pseudouridylation of ribosomal RNAs. They are often encoded in longer genes referred to as their host genes, the expression of which is required for their own biogenesis. Due to their very stable structure, reverse transcription of snoRNAs using standard viral reverse transcriptases is very inefficient, and does not provide an adequate view of the abundance of these small RNAs. We thus employed high-throughput, low structure bias TGIRT-seq sequencing to quantified the abundance of the entire ribodepleted transcriptome, including snoRNAs and their host genes, in 4 different cell lines.
 
Overall design Ribodepleted and fragmented TGIRT-Seq librairies were generated from RNA samples originating from various cell lines with two biological replicates each.
 
Contributor(s) Bergeron D, Scott MS
Citation(s) 37415181
Submission date Jul 27, 2022
Last update date Sep 11, 2023
Contact name Sherif Abou Elela
E-mail(s) sherif.abou.elela@usherbrooke.ca
Organization name Université de Sherbrooke
Department Département de microbiologie et infectiologie
Street address 3201 Jean Mignault
City Sherbrooke
State/province Québec
ZIP/Postal code J1E 4K8
Country Canada
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (8)
GSM6407686 HCT116_1
GSM6407687 HCT116_2
GSM6407688 MCF7_1
Relations
BioProject PRJNA862949

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Supplementary file Size Download File type/resource
GSE209924_tpm_matrix.tsv.gz 2.8 Mb (ftp)(http) TSV
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Processed data are available on Series record

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