Journal: bioRxiv
Article Title: Integrating functional genomics and proteomics identifies Folate Carrier SLC19A1 as a predictor of pralatrexate sensitivity in T-cell lymphoma
doi: 10.1101/2025.10.08.681217
Figure Lengend Snippet: Volcano plots of phenotype scores and P values from genome-wide CRISPR interference screens under treatment with ( A ) pralatrexate, ( C ) bortezomib, ( D ) gemcitabine, ( E ) romidepsin, and ( F ) oxaliplatin. Orange points denote gene knockdowns with false discovery rate (FDR) below 10%, calculated from comparison with ‘pseudogene’ controls from non-targeting guide RNAs (gray; Methods); this threshold corresponds to Mann Whitney P values <0.05 (noting that FDR is not type 1 error). B . Effect of SLC19A1 knockdown on pralatrexate resistance. Pralatrexate dose response was measured in SU-DHL-1 cells expressing dCas9-KRAB, either untransformed, transformed with a non-targeting guide RNA, or transformed with a guide RNA targeting SLC19A1. Error bars show the standard deviation of four replicate measurements. At a physiologically relevant pralatrexate concentration (60nM, based on human pharmacokinetic studies) SLC19A1 knockdown abolished pralatrexate response compared with non-targeting control ( P = 0.00002, Student’s t-test).
Article Snippet: Five therapies used in the treatment of T-cell Lymphoma were purchased from MedChemExpress; romidepsin (Catalog number: HY15149, pralatrexate (Catalog number: HY-10466), bortezomib (Catalog Number: HY-10227), gemcitabine (Catalog Number: HY-17026), oxaliplatin (Catalog number: HY-17371).
Techniques: Genome Wide, CRISPR, Comparison, MANN-WHITNEY, Knockdown, Expressing, Transformation Assay, Standard Deviation, Concentration Assay, Control