Cell behavior observation and gene expression analysis of melanoma associated with stromal fibroblasts in a three-dimensional magnetic cell culture array

2012 ◽  
Vol 29 (1) ◽  
pp. 135-142 ◽  
Author(s):  
Mina Okochi ◽  
Taku Matsumura ◽  
and Shuhei Yamamoto ◽  
Eiichi Nakayama ◽  
Kowichi Jimbow ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Culture ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Three Dimensional ◽  
Cell Behavior ◽  
Stromal Fibroblasts ◽  
Behavior Observation

Investigation into the metabolism of 1,8-cineole in an intestinal cell culture model and acquisition of its immune-modulatory effect via gene expression analysis

2012 ◽  
Vol 27 (6) ◽  
pp. 405-413 ◽  
Author(s):  
Jakob Müller ◽  
Natalie Gruner ◽  
Isabella Almstätter ◽  
Frauke Kirsch ◽  
Andrea Buettner ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Culture ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Intestinal Cell ◽  
Cell Culture Model ◽  
Culture Model

scholarly journals Accurate RT-qPCR gene expression analysis on cell culture lysates

2012 ◽  
Vol 2 (1) ◽  
Author(s):  
Gert Van Peer ◽  
Pieter Mestdagh ◽  
Jo Vandesompele
Keyword(s):  
Gene Expression ◽  
Cell Culture ◽  
Expression Analysis ◽  
Gene Expression Analysis

From Tissues to Cell Types and Back: Single-Cell Gene Expression Analysis of Tissue Architecture

2018 ◽  
Vol 1 (1) ◽  
pp. 29-51 ◽  
Author(s):  
Xi Chen ◽  
Sarah A. Teichmann ◽  
Kerstin B. Meyer
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Expression Analysis ◽  
Gene Expression Analysis ◽  
Three Dimensional ◽  
Cell Types ◽  
Biological Knowledge ◽  
Tissue Architecture ◽  
Cell Gene Expression ◽  
Cell Gene

With the recent transformative developments in single-cell genomics and, in particular, single-cell gene expression analysis, it is now possible to study tissues at the single-cell level, rather than having to rely on data from bulk measurements. Here we review the rapid developments in single-cell RNA sequencing (scRNA-seq) protocols that have the potential for unbiased identification and profiling of all cell types within a tissue or organism. In addition, novel approaches for spatial profiling of gene expression allow us to map individual cells and cell types back into the three-dimensional context of organs. The combination of in-depth single-cell and spatial gene expression data will reveal tissue architecture in unprecedented detail, generating a wealth of biological knowledge and a better understanding of many diseases.

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