Deconvoluting Lipid Nanoparticle Structure for Messenger RNA Delivery.

Clicks: 323
ID: 106259
2020
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #19 of 275 articles by views in Nano letters

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 275 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Lipid nanoparticle (LNP) packaged mRNA vaccines have been deployed against infectious diseases such as COVID-19, yet their structural features remain unclear. Cholesterol, a major constituent within LNPs, contributes to their morphology that influences gene delivery. Herein, we examine the structure of LNPs containing cholesterol derivatives using electron microscopy, differential scanning calorimetry, and membrane fluidity assays. LNPs formulated with C24 alkyl derivatives of cholesterol show polymorphic shape and various degrees of multilamellarity and lipid partitioning, likely due to phase separation. The addition of methyl and ethyl groups to C24 alkyl tail of cholesterol backbone induces multilamellarity (>50% increase compared to cholesterol) while the addition of double bond induces lipid partitioning (>90% increase compared to cholesterol. LNPs with multilamellar and faceted structures, as well as lamellar lipid phase, showed higher gene transfection. Unraveling the structure of mRNA-LNPs can enable their rational design towards enhanced gene delivery.
Reference Key
eygeris2020deconvolutingnano Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Eygeris, Yulia;Patel, Siddharth;Jozic, Antony;Sahay, Gaurav;
Journal Nano letters
Year 2020
DOI
10.1021/acs.nanolett.0c01386
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.