Literature DB >> 29344862

Cell Type-Specific Laser Capture Microdissection for Gene Expression Profiling in the Human Brain.

Sarah A Mauney1,2, Tsung-Ung W Woo3,4, Kai C Sonntag5.   

Abstract

Cell type-specific laser microdissection technologies in combination with molecular techniques to determine gene expression profiles have become powerful tools to gain insight into the neurobiological basis of neural circuit disturbances in various neurologic or psychiatric diseases. To identify specific cell populations in human postmortem brain tissue, one can use the inherent properties of the cells, such as pigmentation and morphology or their structural composition through immunohistochemistry (IHC). Here, we describe the isolation of homogeneous neurons and oligodendrocytes and the extraction of high-quality RNA from these cells in human postmortem brain using a combination of rapid IHC, Nissl staining, or simple morphology with Laser Capture Microdissection (LCM), or Laser Microdissection (LMD).

Entities:  

Keywords:  Expression profiling; Immunohistochemistry; Laser capture microdissection; Laser microdissection; Neurons; Oligodendrocytes; Postmortem brain

Mesh:

Substances:

Year:  2018        PMID: 29344862     DOI: 10.1007/978-1-4939-7558-7_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

Review 1.  Proteomic Approaches to Decipher Mechanisms Underlying Pathogenesis in Multiple Sclerosis Patients.

Authors:  Vaibhav Singh; Ajai Tripathi; Ranjan Dutta
Journal:  Proteomics       Date:  2019-06-21       Impact factor: 3.984

2.  The use of laser capture microdissection to identify specific pathways and mechanisms involved in impulsive choice in rats.

Authors:  Shirisha Meda; Nadja Freund; Kevin J Norman; Britta S Thompson; Kai-C Sonntag; Susan L Andersen
Journal:  Heliyon       Date:  2019-08-23

3.  Laser Capture Microdissection-Based RNA Microsequencing Reveals Optic Nerve Crush-Related Early mRNA Alterations in Retinal Ganglion Cell Layer.

Authors:  Dongyan Pan; Mengqiao Xu; Xin Chang; Mao Xia; Yibin Fang; Yinghua Fu; Wei Shen; Yue Wang; Xiaodong Sun
Journal:  Transl Vis Sci Technol       Date:  2020-10-27       Impact factor: 3.283

  3 in total

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