Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
A genome-wide CRISPR/Cas9 screen in acute myeloid leukemia cells identifies regulators of TAK-243 sensitivity
Samir H. Barghout, Ahmed Aman, Kazem Nouri, Zachary Blatman, Karen Arevalo, Geethu E. Thomas, Neil MacLean, Rose Hurren, Troy Ketela, Mehakpreet Saini, Moustafa Abohawya, Taira Kiyota, Rima Al-Awar, Aaron D. Schimmer
Samir H. Barghout, Ahmed Aman, Kazem Nouri, Zachary Blatman, Karen Arevalo, Geethu E. Thomas, Neil MacLean, Rose Hurren, Troy Ketela, Mehakpreet Saini, Moustafa Abohawya, Taira Kiyota, Rima Al-Awar, Aaron D. Schimmer
View: Text | PDF
Research Article Oncology Therapeutics

A genome-wide CRISPR/Cas9 screen in acute myeloid leukemia cells identifies regulators of TAK-243 sensitivity

  • Text
  • PDF
Abstract

TAK-243 is a first-in-class inhibitor of ubiquitin-like modifier activating enzyme 1 that catalyzes ubiquitin activation, the first step in the ubiquitylation cascade. Based on its preclinical efficacy and tolerability, TAK-243 has been advanced to phase I clinical trials in advanced malignancies. Nonetheless, the determinants of TAK-243 sensitivity remain largely unknown. Here, we conducted a genome-wide CRISPR/Cas9 knockout screen in acute myeloid leukemia (AML) cells in the presence of TAK-243 to identify genes essential for TAK-243 action. We identified BEN domain-containing protein 3 (BEND3), a transcriptional repressor and a regulator of chromatin organization, as the top gene whose knockout confers resistance to TAK-243 in vitro and in vivo. Knockout of BEND3 dampened TAK-243 effects on ubiquitylation, proteotoxic stress, and DNA damage response. BEND3 knockout upregulated the ATP-binding cassette efflux transporter breast cancer resistance protein (BCRP; ABCG2) and reduced the intracellular levelsof TAK-243. TAK-243 sensitivity correlated with BCRP expression in cancer cell lines of different origins. Moreover, chemical inhibition and genetic knockdown of BCRP sensitized intrinsically resistant high-BCRP cells to TAK-243. Thus, our data demonstrate that BEND3 regulates the expression of BCRP for which TAK-243 is a substrate. Moreover, BCRP expression could serve as a predictor of TAK-243 sensitivity.

Authors

Samir H. Barghout, Ahmed Aman, Kazem Nouri, Zachary Blatman, Karen Arevalo, Geethu E. Thomas, Neil MacLean, Rose Hurren, Troy Ketela, Mehakpreet Saini, Moustafa Abohawya, Taira Kiyota, Rima Al-Awar, Aaron D. Schimmer

×

Figure 1

A genome-wide CRISPR/Cas9 knockout screen identifies BEND3 as a top hit.

Options: View larger image (or click on image) Download as PowerPoint
A genome-wide CRISPR/Cas9 knockout screen identifies BEND3 as a top hit....
(A) Enrichment of gRNAs after treatment with concentrations corresponding to the IC90 (left) and IC99 (right) of TAK-243 as assessed by fold change analysis compared with untreated control cells. Each data point represents a distinct gRNA. The gRNAs corresponding to BEND3 and lysine methyltransferase 5B (KMT5B) are shown in red and blue, respectively. (B) Volcano plots representing log2 fold change of top enriched genes as ranked by the MAGeCK algorithm versus the significance of enrichment expressed as –log10 P value in the IC90 (left) and IC99 (right) arms of the screen. Each data point represents a distinct gene. Blue dashed lines are drawn at 100-fold enrichment (x axis) and a P value of 0.001 (y axis). Only BEND3 (red) and KMT5B (blue) showed significant enrichment beyond these cutoff levels. (C) Gene set enrichment analysis (GSEA) showing Gene Ontology (GO) processes for genes whose gRNAs were significantly enriched in the IC90 arm of the screen and their corresponding false discovery rate (FDR) values. GO terms are shown on the left and the corresponding genes on the top. (D) Enrichment of gRNAs targeting BEND3 in the IC90 and IC99 arms of the screen.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts