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 ◽  
...  

2020 ◽  
Vol 11 ◽  
Author(s):  
Christian T. Meisel ◽  
Pierfrancesco Pagella ◽  
Cristina Porcheri ◽  
Thimios A. Mitsiadis


2012 ◽  
Vol 27 (6) ◽  
pp. 405-413 ◽  
Author(s):  
Jakob Müller ◽  
Natalie Gruner ◽  
Isabella Almstätter ◽  
Frauke Kirsch ◽  
Andrea Buettner ◽  
...  


2012 ◽  
Vol 2 (1) ◽  
Author(s):  
Gert Van Peer ◽  
Pieter Mestdagh ◽  
Jo Vandesompele


2010 ◽  
Vol 284 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Joseph Mazar ◽  
Satyabrata Sinha ◽  
Marcel E. Dinger ◽  
John S. Mattick ◽  
Ranjan J. Perera


PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0146256 ◽  
Author(s):  
Sisi Wang ◽  
Hongyong Zhang ◽  
Tiffany M. Scharadin ◽  
Maike Zimmermann ◽  
Bin Hu ◽  
...  


2018 ◽  
Vol 1 (1) ◽  
pp. 29-51 ◽  
Author(s):  
Xi Chen ◽  
Sarah A. Teichmann ◽  
Kerstin B. Meyer

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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