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Additional file 4: of Renal cancer: new models and approach for personalizing therapy

Authors :
Martino, Simona Di
Luca, Gabriele De
Grassi, Ludovica
Federici, Giulia
Alfonsi, Romina
Signore, Michele
Addario, Antonio
Salvo, Laura De
Francescangeli, Federica
Sanchez, Massimo
Tirelli, Valentina
Muto, Giovanni
Sperduti, Isabella
Steno Sentinelli
Costantini, Manuela
Pasquini, Luca
Milella, Michele
Haoui, Mustapha
Simone, Giuseppe
Gallucci, Michele
Maria, Ruggero De
DĂŠsirĂŠe Bonci
Publication Year :
2018
Publisher :
figshare, 2018.

Abstract

Figure S3 (A) RPPA-TCGA elaboration of E-Cadherin and Fibronectin expressions. Data were obtained from macrodissected clear cell renal cancer tissues (GDC-database- https://tcga-data.nci.nih.gov/docs/publications/kirc_2013/ ) and reported for grading, stage and for progression rate by RPPA. (B) mRNA level elaboration of EpCAM, CD146(MCAM) and CD44 antigens. Data were obtained from GSE48550 microarray and were analyzed on different kinds of renal stem cells. (C) TOPRO3 staining for cell viability evaluation of populations maintained for three days (upper panels) and one week (Lower panels) in serum-free stem cell-isolating medium supplemented with Epidermal Growth Factor (EGF), basic Fibroblast Growth Factor (b-FGF), DMEM (Dulbecco Modified Eagle Medium), Glutamine and FBS (Fetal Bovine Serum) supplemented medium and evaluated by cytofluorimetric analysis. Blue and Black areas represent vital and dead cells respectively. (PDF 389 kb)

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....02c5506b8c41aa573b055234390819dd
Full Text :
https://doi.org/10.6084/m9.figshare.7052780.v1