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Review
. 2022 Nov:207:3-10.
doi: 10.1016/j.ymeth.2022.08.013. Epub 2022 Sep 3.

Profiling cell-type specific gene expression in post-mortem human brain samples through laser capture microdissection

Affiliations
Review

Profiling cell-type specific gene expression in post-mortem human brain samples through laser capture microdissection

Daniel Almeida et al. Methods. 2022 Nov.

Abstract

The transcriptome of a cell constitutes an essential piece of cellular identity and contributes to the multifaceted complexity and heterogeneity of cell-types within the mammalian brain. Thus, while a wealth of studies have investigated transcriptomic alterations underlying the pathophysiology of diseases of the brain, their use of bulk-tissue homogenates makes it difficult to tease apart whether observed differences are explained by disease state or cellular composition. Cell-type-specific enrichment strategies are, therefore, crucial in the context of gene expression profiling. Laser capture microdissection (LCM) is one such strategy that allows for the capture of specific cell-types, or regions of interest, under microscopic visualization. In this review, we focus on using LCM for cell-type specific gene expression profiling in post-mortem human brain samples. We begin with a discussion of various LCM systems, followed by a walk-through of each step in the LCM to gene expression profiling workflow and a description of some of the limitations associated with LCM. Throughout the review, we highlight important considerations when using LCM with post-mortem human brain samples. Whenever applicable, commercially available kits that have proven successful in the context of LCM with post-mortem human brain samples are described.

Keywords: Gene expression; Laser capture microdissection; Microscopy; Post-mortem human brain; RNA-sequencing.

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Conflict of interest statement

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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