Medulloblastoma Cell Line Dynamics

In this study, we re-analyzed the experimental data in which, human medulloblastoma cell lines were exposed to four experimental conditions (CTRL, SHH+, EGF+, and SHH+EGF+) and sampled over 24 hours after the exposure to the agents. Gene expression data was generated with an Illumina microarray platform. There were three biological replicates available and we chose to take the median of the replicates for the analysis, since it is robust to unexpected variations. The fold-change ratios were calculated with respect to time 0 under the control. Further details of the experimental materials and methods are described in the literature [8 (link)]. The data set is available on the GEO website with the series name GSE46045.

Free full text: Click here

Maroufy V., Shah P., Asghari A., Deng N., Le R.N., Ramirez J.C., Yaseen A., Zheng W.J., Umetani M, & Wu H. (2020). Gene expression dynamic analysis reveals co-activation of Sonic Hedgehog and epidermal growth factor followed by dynamic silencing. Oncotarget, 11(15), 1358-1372.

Publication 2020

microarray platform

Biological Cell lines Gene expression Human Medulloblastoma Microarray

Corresponding Organization :

Other organizations : The University of Texas Health Science Center at Houston, University of Houston, Universidad Antonio Nariño

Top 5 similar protocols

Variable analysis

independent variables

SHH+EGF+

dependent variables

Gene expression data

control variables

Time (0-24 hours)

controls

None specified
Time 0 under the control condition

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!