NYU Health Sciences Library NYU Data Catalog
NYU Health Sciences Library NYU Data Catalog
NYU Health Sciences Library Data Catalog
NYU Dataset

MicroRNA-33 Silencing Reprograms the Immune Cell Landscape in Atherosclerotic Plaques

Part of: Moore Lab |
UID: 10585
Author(s): Milessa Silva Afonso, Monika Sharma, P. Martin Schlegel, Coen van Solingen, Graeme J. Koelwyn...
* Corresponding Author
Description

MicroRNA-33 (miR-33) targeted inhibition increases plasma HDL cholesterol and promotes atherosclerosis regression by enhancing reverse cholesterol transport and dampening plaque inflammation. This study showed how miR-33 inhibition alters the dynamic balance and transcriptional landscape of immune cells in atherosclerotic plaques. They used single cell RNA sequencing of aortic CD45+ cells, combined with immunohistologic, morphometric, and flow cytometric analyses to define the changes in plaque immune cell composition, gene expression, and function following miR-33 inhibition. This dataset includes RNA sequencing data, which provides insight into the immune mechanisms and cellular players that execute anti-miR-33’s atheroprotective actions in the plaque.

Subject of Study
Ldlr–/– mice
Subject Domain
Genomics
Keywords
Adaptive Immunity
Aorta
Atherosclerosis
Blood Plasma
Cholesterol
Gene Expression
Genes
Genomics
Heart
Homeostasis
Inflammation
Innate Immunity
Metabolism
RNA
RNA Sequencing

Access

Restrictions
Free to All
Instructions
RNA sequencing data have been deposited in Gene Expression Omnibus (GEO).
Access via GEO

RNA-seq data
Accession #: GSE161494

Associated Publications
Afonso MS, Sharma M, Schlegel M, van Solingen C, Koelwyn GJ, Shanley LC, Beckett L, Peled D, Rahman K, Giannarelli C, Li H, Brown EJ, Khodadadi-Jamayran A, Fisher EA, Moore KJ. miR-33 Silencing Reprograms the Immune Cell Landscape in Atherosclerotic Plaques. Circ Res. 2021 Apr 16;128(8):1122-1138.
Data Type
Genomic
Software Used
GraphPad Prism v8.0

Statistical analysis

ImageJ

Java based image processing

Grant Support
R01 HL084312/NHLBI NIH
Schl 2172/2/German Research Foundation
NFL-2020-218415/Chan Zuckerberg Initiative
19POST34380010/American Heart Association
14POST20180018/American Heart Association
19CDA34630066/American Heart Association
20SFRN35210252/American Heart Association
R35 HL135799/NHLBI NIH
R01 HL153712/NHLBI NIH
P01 HL131481/NHLBI NIH
P01 HL131478/NHLBI NIH
T32 HL098129/NHLBI NIH