2019
DOI: 10.1007/978-1-4939-9412-0_10
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Laser Capture Microdissection of Murine Embryonic Neural Crest Cells

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Cited by 2 publications
(2 citation statements)
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“…Laser capture microdissection (LCM) is a microscopicguided system that can isolate specific cell types or regions of interest from tissue sections with a laser beam [21]. A variety of studies have indicated that LCM is powerful for isolating distinct cells and is helpful for the subsequent analysis of DNA, RNA, or protein profiles by sequencing or microarray [22][23][24]. With respect to the intestine, LCM has been used to obtain high-integrity RNA samples from freshly resected human intestinal tissue and to evaluate the gene expression profiles between crypts and villi of ileal epithelial cells [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…Laser capture microdissection (LCM) is a microscopicguided system that can isolate specific cell types or regions of interest from tissue sections with a laser beam [21]. A variety of studies have indicated that LCM is powerful for isolating distinct cells and is helpful for the subsequent analysis of DNA, RNA, or protein profiles by sequencing or microarray [22][23][24]. With respect to the intestine, LCM has been used to obtain high-integrity RNA samples from freshly resected human intestinal tissue and to evaluate the gene expression profiles between crypts and villi of ileal epithelial cells [25,26].…”
Section: Introductionmentioning
confidence: 99%
“…Within this cadre of technologies, Laser Capture Microdissection (LCM) [ 4 - 6 ] has proven to be a reliable means of procuring tissue cellular populations, achieving high sensitivity and high precision for multiplex genomic and proteomic profiling [ 4 , 7 - 9 ]. LCM has been used to generate data for a wide variety of research questions, ranging from entomology [ 10 - 12 ], agriculture research [ 13 , 14 ], embryology [ 15 , 16 ], metabolic disease [ 17 - 19 ], heart disease [ 20 , 21 ], neurobiology [ 22 , 23 ], infectious disease [ 24 - 26 ], and cancer [ 6 ] (see below).…”
Section: Introductionmentioning
confidence: 99%