Laser Capture Microdissection for Analysis of Single Cells

2007 ◽  
pp. 11-18 ◽  
Author(s):  
Nobuki Nakamura ◽  
Katharina Ruebel ◽  
Long Jin ◽  
Xiang Qian ◽  
Heyu Zhang ◽  
...  
Keyword(s):  
Laser Capture Microdissection ◽  
Single Cells ◽  
Laser Capture

An instrument for performing laser capture microdissection of single cells

1999 ◽  
Vol 70 (11) ◽  
pp. 4377-4385 ◽  
Author(s):  
Seth R. Goldstein ◽  
Thomas Pohida ◽  
Paul D. Smith ◽  
John I. Peterson ◽  
Ed Wellner ◽  
...  
Keyword(s):  
Laser Capture Microdissection ◽  
Single Cells ◽  
Laser Capture

scholarly journals Gene-expression profiling of single cells from archival tissue with laser-capture microdissection and Smart-3SEQ

2017 ◽  
Author(s):  
Joseph W. Foley ◽  
Chunfang Zhu ◽  
Philippe Jolivet ◽  
Shirley X. Zhu ◽  
Peipei Lu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Laser Capture Microdissection ◽  
Expression Profiling ◽  
Single Cells ◽  
Ffpe Tissue ◽  
Small Samples ◽  
Clinical Samples ◽  
Rna Seq ◽  
Laser Capture

AbstractRNA sequencing (RNA-seq) is a sensitive and accurate method for quantifying gene expression. Small samples or those whose RNA is degraded, such as formalin-fixed, paraffin-embedded (FFPE) tissue, remain challenging to study with nonspecialized RNA-seq protocols. Here we present a new method, Smart-3SEQ, that accurately quantifies transcript abundance even with small amounts of total RNA and effectively characterizes small samples extracted by laser-capture microdissection (LCM) from FFPE tissue. We also obtain distinct biological profiles from FFPE single cells, which have been impossible to study with previous RNA-seq protocols, and we use these data to identify possible new macrophage phenotypes associated with the tumor microenvironment. We propose Smart-3SEQ as a highly cost-effective method to enable large gene-expression profiling experiments unconstrained by sample size and tissue availability. In particular, Smart-3SEQ’s compatibility with FFPE tissue unlocks an enormous number of archived clinical samples, and combined with LCM it allows unprecedented studies of small cell populations and single cells isolated by their in situ context.

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

2021 ◽  
Author(s):  
Margareth Nogueira ◽  
Daiane CF Golbert ◽  
Richardson Leão
Keyword(s):  
Brain Tissue ◽  
Mouse Brain ◽  
Laser Capture Microdissection ◽  
Basolateral Amygdala ◽  
Single Cells ◽  
Heterogeneous Material ◽  
Anterior Cingulate ◽  
High Quality ◽  
Rna Integrity ◽  
Laser Capture

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.

scholarly journals Laser Capture Microdissection of Single Cells from Complex Tissues

BioTechniques ◽  
1999 ◽  
Vol 26 (2) ◽  
pp. 328-335 ◽  
Author(s):  
C.A. Suarez-Quian ◽  
S.R. Goldstein ◽  
T. Pohida ◽  
P.D. Smith ◽  
J.I. Peterson ◽  
...  
Keyword(s):  
Laser Capture Microdissection ◽  
Single Cells ◽  
Laser Capture

scholarly journals Gene expression profiling of single cells from archival tissue with laser-capture microdissection and Smart-3SEQ

2019 ◽  
Vol 29 (11) ◽  
pp. 1816-1825 ◽  
Author(s):  
Joseph W. Foley ◽  
Chunfang Zhu ◽  
Philippe Jolivet ◽  
Shirley X. Zhu ◽  
Peipei Lu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profiling ◽  
Laser Capture Microdissection ◽  
Expression Profiling ◽  
Single Cells ◽  
Archival Tissue ◽  
Laser Capture

Isolating Human Notochord Using Laser Capture Microdissection

2016 ◽  
Vol 77 (S 02) ◽  
Author(s):  
Youssef Yakkioui ◽  
Remco Santegoeds ◽  
Koo van Overbeeke ◽  
Andreas Herrler ◽  
Yasin Temel
Keyword(s):  
Laser Capture Microdissection ◽  
Laser Capture
Sign in / Sign up

Export Citation Format

Share Document