2021
DOI: 10.1007/978-1-0716-1068-8_18
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Single Cell Type Specific RNA Isolation and Gene Expression Analysis in Rice Using Laser Capture Microdissection (LCM)-Based Method

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Cited by 5 publications
(3 citation statements)
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“…FACS, also, generally requires > 10,000 cells as start input, making it unsuitable for rare samples. Laser capture microdissection (LCM) is a technology that accurately separates single cells from tissue samples [20]. After staining tissue sections, they are examined under a microscope for target area selection, and the selected area is isolated using a laser.…”
Section: Single-cell Isolationmentioning
confidence: 99%
“…FACS, also, generally requires > 10,000 cells as start input, making it unsuitable for rare samples. Laser capture microdissection (LCM) is a technology that accurately separates single cells from tissue samples [20]. After staining tissue sections, they are examined under a microscope for target area selection, and the selected area is isolated using a laser.…”
Section: Single-cell Isolationmentioning
confidence: 99%
“…This technology was developed at the National Cancer Institute (NCI), originally for the study of heterogeneous cell populations in tumors [ 38 ]. LCM has been widely used for single-cell analysis [ 39 , 40 , 41 , 42 ], with the advantage of preserving the spatial information of single cells in tissues and facilitating the analysis of cell–cell and cell–environment interactions [ 43 , 44 , 45 ]. However, the main restriction that limits the application of LCM in single-cell sequencing is its low throughput.…”
Section: General Process Of Scrna-seqmentioning
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%