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Laser Capture Microdissection optimization for high-quality RNA in mouse brain tissue

Margareth Nogueira, Daiane CF Golbert, Richardson Leão
doi: https://doi.org/10.1101/2021.08.30.458265
Margareth Nogueira
1Neurodynamics Lab, Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil
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Daiane CF Golbert
1Neurodynamics Lab, Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil
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Richardson Leão
1Neurodynamics Lab, Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil
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  • For correspondence: richardson.leao@neuro.ufrn.br
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Abstract

Laser Capture Microdissection (LCM) is a method that allows to select and dissecting specific structures, cell populations, or even single cells from different types of tissue to extract DNA, RNA, or proteins. It is easy to perform and precise, avoiding unwanted signals from irrelevant cells, because gene expression may be affected by a bulk of heterogeneous material in a sample. However, despite its efficiency, several steps can affect the sample RNA integrity. In comparison to DNA, RNA is a much more unstable molecule and represents a challenge in the LCM method. Here we describe an optimized protocol to provide good concentration and high-quality RNA in specific structures, such as Dentate Gyrus and CA1 in the hippocampus, basolateral amygdala and anterior cingulate cortex of mouse brain tissue.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 01, 2021.
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Laser Capture Microdissection optimization for high-quality RNA in mouse brain tissue
Margareth Nogueira, Daiane CF Golbert, Richardson Leão
bioRxiv 2021.08.30.458265; doi: https://doi.org/10.1101/2021.08.30.458265
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Laser Capture Microdissection optimization for high-quality RNA in mouse brain tissue
Margareth Nogueira, Daiane CF Golbert, Richardson Leão
bioRxiv 2021.08.30.458265; doi: https://doi.org/10.1101/2021.08.30.458265

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