GBM PDX STR Similarity Search Tool


This web tool provides you with the ability to search for Short Tandem Repeat (STR) similarity between your sample (query) to the glioblastoma (GBM) patient-derived xenograft (PDX) tumors present at UAB. This tool is inspired by the Cellosaurus CLASTR search tool. Additional information about this resource can be found at https://doi.org/10.1002/ijc.32639.

Purpose

To enable improved tracking of tumor line identity and provide collaborators to quickly confirm matching of their specimens/tumors/cells with existing PDX models.

Reference set

The default reference set of GBM PDX tumors include the following:

GBM Source
JX39 Mayo Clinic
JX14 Mayo Clinic
JX12 Mayo Clinic
JX6 Mayo Clinic
JX59 Mayo Clinic
JX10 Mayo Clinic
JX22 Mayo Clinic
X1016 UAB
X1052 UAB
X1066 UAB
X1153 UAB
X1238 UAB
X1441 UAB
X1465 UAB
X1516 UAB
X1524 UAB
XD456 Duke

J refers to Dr. Jann Sarkaria, who provided the Mayo Clinic tumors.

X indicates the sample is a xenograph.

Custom tumor line references containing the markers present in the app is also supported in the STR multi-query Search tab. If you would like to see your reference integrated into the app's default reference please contact Dr. Chris Willey.

Contact information

Please feel free to contact the lead investigator, Dr. Chris Willey if you have any general questions about our site or would like more information: cwilley [at] uabmc.edu


Issues

If you encounter any errors or issues with the app, please open an issue to the git repository of this app located here.


About the app

The GBM PDX STR Similarity Search Tool was written by Dr. Lara Ianov.

The app was written with support of Dr. Chris Willey, UAB and funding from the NIH U01 CA223976 grant.

Aid with web-hosting was provided by Austyn Trull. We would like to thank the UAB Research Computing group for the UAB cloud resources being used to host this application.

Lastly, Dr. Lara Ianov and Austyn Trull are members of the UAB Biological Data Science core. The core facility RRID is RRID:SCR_021766.

Citation

If this application benefits your work, we kindly ask to acknowledge the app by including the following DOI: DOI





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