Welcome Cancer Researchers!

Welcome to the SUM Cancer Cell Line Knowledge Base, aka SLKBase

Originally designed to support research using SUM human breast cancer cell lines, the SLKBase has evolved into a comprehensive resource for the oncology community. We have expanded our database to include functional genomics data for 50 additional breast cancer cell lines, now accessible via two distinct gateway pages: one dedicated to the SUM lines and another for general breast cancer models.

Our most recent expansion incorporates a full suite of genomics, essentiality, and drug sensitivity data for over 900 cancer cell lines across all types. These datasets are integrated into our MySQL database, supported by a new suite of powerful data mining tools available for all included lines.

Access to the SLKBase requires a user name and password. Everyone should have public access to this home page, and to the SLKBase page, but anything beyond that will require a registration first, and then a log in for future visits to the Knowledge Base. Once you click on any of the other pages, a Login form will appear along with a Registration Form for non-registered users.

Upon registration, you will receive an email from SLKBase@sumlineknowledgebase.com with your user name and a generated password.

After you log in for the first time using the system-generated password, click here to change your password. You do need to be logged in to use this link.

If you encounter ANY problems with the website or if you encounter a broken link, please write me either at ethier@musc.edu or spethier@gmail.com.

To make the SLKBase easier to use, I’ve created a series of YouTube videos that demonstrate our data mining tools. I recommend starting with the Introductory Navigation Video (also available for direct download in the Data Download Center).

For a complete description of all that the SLKBase has to offer, check out the SLKBase page.

Or, if you’re ready to dive in? Use the links below to access our data gateways:

Explore the SUM breast cancer cell lines.
View our expanded breast cancer panel.
Access functional genomics for 900 human cancer cell lines.

Thank you for being part of the SUM Cancer Cell Line Knowledge Base!

Steve Ethier

Copy number data for candidate oncogenes in each cell line
Point mutation data for genes recurrently mutated in cancer
Genome-wide expression data
Genome-scale shRNA interference screen data for all cell lines with hit data displayed on KEGG pathways
Genome-scale CRISPR screen data for all cell lines with hit data displayed on KEGG pathways
Narrative summary describing how each SUM cell line was developed and descriptions of originating sources and characteristics of 40 other breast cancer cell lines
Drug sensitivity data from the Genomics of Drug Sensitivity in Cancer data base, linked to a data mining tool for each cell line in the database
A Bibliography of peer-reviewed papers containing data obtained with each SUM cell line