Tissue samples were collected, snap-frozen in liquid nitrogen, weighed, and homogenized on the
TissueLyzer II (Qiagen) in RIPA buffer (Tris-HCl 50 mM, pH 7.4; NaCl 150 mM; NP-40 1%; sodium deoxycholate 0.5%; SDS 0.1%) containing a cocktail of protease inhibitors (Roche) at a tissue weight to RIPA buffer volume of 50 mg/mL. The samples were then centrifuged for 20 min at 14,000 ×
g in a microcentrifuge. The homogenates were transferred to a 96-well plate and were diluted in RIPA buffer to ~1 mg/mL for ELP1-HTRF and ~0.5 mg/mL for total protein measurement using the BCA protein assay (Pierce). Samples were run in duplicate and averaged. For the ELP1-HTRF assay, 35 μL of tissue homogenate were transferred to a 384-well plate containing 5 μL of the antibody solution (1:50 dilution of anti-ELP1 D2 and anti-ELP1 cryptate from Cisbio). The plate was incubated overnight at room temperature. Fluorescence was measured at 665 and 620 nm on an
EnVision multilabel plate reader (Perkin Elmer). Total protein content was quantified in each tissue homogenate using the BCA assay according to the manufacturer’s protocol. The total protein normalized change in ELP1 protein signal for BPN-15477 and vehicle-treated tissue sample was calculated as ratio of the signal in the presence of the test compound over the signal in the absence of the test compound (vehicle control).
Gao D., Morini E., Salani M., Krauson A.J., Chekuri A., Sharma N., Ragavendran A., Erdin S., Logan E.M., Li W., Dakka A., Narasimhan J., Zhao X., Naryshkin N., Trotta C.R., Effenberger K.A., Woll M.G., Gabbeta V., Karp G., Yu Y., Johnson G., Paquette W.D., Cutting G.R., Talkowski M.E, & Slaugenhaupt S.A. (2021). A deep learning approach to identify gene targets of a therapeutic for human splicing disorders. Nature Communications, 12, 3332.