Springer Nature
Browse

TB PROSPECT - Reference-based chemical-genetic interaction profiling to elucidate small molecule mechanism of action in Mycobacterium tuberculosis

dataset
posted on 2025-11-04, 08:03 authored by Austin Bond, Marek Orzechowski, Shuting Zhang, Ishay Ben-Zion, Allison Lemmer, Nathaniel Garry, Katie Lee, Michael Chen, Kayla Delano, Emily Gath, A. Lorelei Golas, Raymond Nietupski, Michael Fitzgerald, Sabine Ehrt, Eric J. Rubin, Christopher M Sassetti, Dirk Schnappinger, Noam Shoresh, Diana Hunt, James E. Gomez, Deborah T. Hung
See "Data files-README.md" for description of each data archive (TAR/GZIP). The processed strain inhibition data is located in sGR_reference_set_gsk_brd4310_archive.tar.gz. TB PROSPECT standardized Growth Rate (sGR) scores of 333 hypomorphs and 7 WT H37Rv control strains against each compound-concentration (condition) from a 437 compound reference set with existing, published MOA screened in dose-response, 173 GSK compounds from a publicly released antitubercular collection that were screened blinded and in dose-response, and BRD4310 pre-selected from an unbiased chemical library and screened in dose-response. As described in "Data files-README.md", the other archived data files are inputs or results from the application of our reference-based MOA prediction method, PCL analysis, based on comparing chemical-genetic interaction profiles of test compounds to those of the reference set compounds with annotated MOA. GCTx format is a binary file used to store the scores in matrix format with annotated row and column metadata in a compressed, memory-efficient manner. Code libraries in Matlab (cmapM), Python (cmapPy), and R (cmapR) are publicly available on Github to work with it. The GCT format can be visualized, sorted, and filtered on Morpheus, https://software.broadinstitute.org/morpheus.

History