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| Status |
Public on Sep 06, 2023 |
| Title |
Atlas of miRNome variations in different dyslipidemic conditions: a study in C57Bl/6, Ldlr-KO, and Pcsk9-KO mice. |
| Organism |
Mus musculus |
| Experiment type |
Non-coding RNA profiling by high throughput sequencing
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| Summary |
In this study, mice with different genotypes and fed diets with different lipid content were enrolled, aiming to set up an atlas of miRNA expression levels in different organs with a relevant role in lipid/lipoprotein metabolism. Specifically, three genotypes were investigated: C57Bl/6 mice as controls, together with mice knock-out (KO) for LDLr (low-density lipoprotein receptor) and for PCSK9 (proprotein convertase subtilisin/kexin type 9). LDLr and PCSK9 are both involved in LDL turnover, the former mediating LDL clearance [PMID: 19299327], the latter causing the degradation of the LDLr protein [PMID: 17080197]. As a result, LDLrKO mice, because of their impaired LDL catabolism, are hypercholesterolemic and prone to atherosclerosis development, particularly when fed high-fat, cholesterol-containing diets [PMID: 8349823; PMID: 8182121]. On the contrary, PCSK9KO mice, characterized by an accelerated LDL catabolism, are hypocholesterolemic and atherosclerosis resistant [PMID: 15805190]. miRNA expression was investigated in liver, intestine, aorta, white adipose tissue and brain of mice on both standard and Western diet.
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| Overall design |
short RNA sequencing of 7 organs, in 3 different genetic backgrounds, under 2 different diets
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| Contributor(s) |
Busnelli M, Manzini S, Colombo A, Zaffaroni G, Chiara M, Horner D, Chiesa G |
| Citation(s) |
37664585 |
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| Submission date |
Mar 17, 2023 |
| Last update date |
Sep 06, 2023 |
| Contact name |
Matteo Chiara |
| E-mail(s) |
matteo.chiara@unimi.it
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| Organization name |
University of Milan
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| Department |
Biosciences
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| Street address |
via celoria 26
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| City |
Milan |
| ZIP/Postal code |
20133 |
| Country |
Italy |
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| Platforms (1) |
| GPL17021 |
Illumina HiSeq 2500 (Mus musculus) |
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| Samples (126)
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| Relations |
| BioProject |
PRJNA945852 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE227578_miRNA_counts_filtered_v3.txt.gz |
103.6 Kb |
(ftp)(http) |
TXT |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data are available on Series record |
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