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Series GSE264002 Query DataSets for GSE264002
Status Public on Apr 30, 2024
Title Transcriptome profiling of ovaries in aged mice administered with individual ingredients of Samul-tang
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary Samul-tang (SM) is a traditional multi-ingredient treatment widely used in clinical practice for improving ovarian function in women with diminished ovarian reserve. Despite its therapeutic benefits, the complexity of its mechanisms of action due to the combination of multiple compounds has limited its research integration into modern pharmacological science. To address this challenge, we identified 39 herbal compounds as major ingredients in SM and generated transcriptome data from the mice ovaries after administrating with individual ingredients. This dataset aims to provide insights into the mechanisms of action of SM and to aid in the identification of effective ingredient combinations.
 
Overall design To obtain RNA-seq data of ovaries treated with compounds of Samul-tang, mice were randomly divided into groups of n=3 each. Aged mice(38-week-old) were orally administered either vehicle (distilled water containing 0.5% Dimethyl sulfoxide) or each of the 39 single compounds at a dose of 5mg/kg, five times a week for four weeks.
 
Contributor(s) You S, Shin H, Kim J, Lee H
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Submission date Apr 15, 2024
Last update date Apr 30, 2024
Contact name Haeseung Lee
E-mail(s) haeseung@pusan.ac.kr
Organization name Pusan National University
Department College of Pharmacy
Street address 63 Beon-gil 2, Busandaehag-ro, Geumjeong-gu
City Busan
ZIP/Postal code 46241
Country South Korea
 
Platforms (1)
GPL19057 Illumina NextSeq 500 (Mus musculus)
Samples (127)
GSM8208579 OC #1
GSM8208580 OC #2
GSM8208581 OC #3
Relations
BioProject PRJNA1100537

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
GSE264002_RAW.tar 143.5 Mb (http)(custom) TAR (of RESULTS)
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Raw data are available in SRA
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