An optimized protocol for isolation of high-quality RNA through laser capture microdissection of leaf material.

Clicks: 295
ID: 29241
2019
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 #13 of 49 articles by views in plant direct

Most read Least read

Bar heights use a square-root scale.

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
Laser Capture Microdissection is a powerful tool that allows thin slices of specific cell types to be separated from one another. However, the most commonly used protocol, which involves embedding tissue in paraffin wax, results in severely degraded RNA. Yields from low abundance cell types of leaves are particularly compromised. We reasoned that the relatively high temperature used for sample embedding, and aqueous conditions associated with sample preparation prior to microdissection contribute to RNA degradation. Here, we describe an optimized procedure to limit RNA degradation that is based on the use of low-melting-point wax as well as modifications to sample preparation prior to dissection, and isolation of paradermal, rather than transverse sections. Using this approach, high-quality RNA suitable for down-stream applications such as quantitative reverse transcriptase-polymerase chain reactions or RNA-sequencing is recovered from microdissected bundle sheath strands and mesophyll cells of leaf tissue.
Reference Key
hua2019anplant Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hua, Lei;Hibberd, Julian M;
Journal plant direct
Year 2019
DOI
10.1002/pld3.156
URL
Keywords Keywords not found

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.