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Series GSE199087 Query DataSets for GSE199087
Status Public on Sep 16, 2022
Title RNA sequencing of human meniscal fibrochondrocytes treated with 17beta-estradiol
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Meniscal tears are the most prevalent intra-articular knee injury and pose significant risk in the development of knee osteoarthritis, a progressive disease that affects around 250 million people worldwide. Meniscus tissue, especially the avascular inner third, heals poorly and the only treatment option is surgery. Epidemiological data and the vital role of estrogen in tissue repair and homeostasis indicate that estrogen could be fundamental for knee joint health and could be useful for tissue regeneration. However, the specific cell response to estrogen and the differences in response of cells from different donors is unknown. In this study, RNA sequencing was used to characterize the mRNA transcriptome of human meniscal cells from male (47-year-old) and female (16-, 17-, and 47-year-old) donors treated with 17beta-estradiol. The goal is to provide data valuable to the design and implementation of estrogen replacement therapies for meniscal health and osteoarthritis reduction.
 
Overall design 2 separate experiments, each with cells isolated from 2 different donors each split into 5 different treatment groups run in triplicate for a total of 30 samples per experiment
 
Contributor(s) Knewtson KE, Podgorny AR, Gonzalez Flores JG, Zhong C, Pacicca DM, Robinson JL
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Submission date Mar 21, 2022
Last update date Sep 18, 2022
Contact name Jennifer L Robinson
E-mail(s) jlrobinson@ku.edu
Organization name University of Kansas
Department Department of Chemical and Petroleum Engineering
Street address 1530 W. 15th St
City Lawrence
State/province Kansas
ZIP/Postal code 66045
Country USA
 
Platforms (1)
GPL21697 NextSeq 550 (Homo sapiens)
Samples (180)
GSM5963955 F47-NoE2-S1_A
GSM5963956 F47-NoE2-S1_B
GSM5963957 F47-NoE2-S1_C
Relations
BioProject PRJNA818316

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Supplementary file Size Download File type/resource
GSE199087_RAW.tar 404.3 Mb (http)(custom) TAR (of TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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