An Integrated Genome-wide CRISPRa Approach to Functionalize lncRNAs in Drug Resistance

  • Assaf C. Bester
  • , Jonathan D. Lee
  • , Alejandro Chavez
  • , Yu Ru Lee
  • , Daphna Nachmani
  • , Suhani Vora
  • , Joshua Victor
  • , Martin Sauvageau
  • , Emanuele Monteleone
  • , John L. Rinn
  • , Paolo Provero
  • , George M. Church
  • , John G. Clohessy
  • , Pier Paolo Pandolfi*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

272 Scopus citations

Abstract

Resistance to chemotherapy plays a significant role in cancer mortality. To identify genetic units affecting sensitivity to cytarabine, the mainstay of treatment for acute myeloid leukemia (AML), we developed a comprehensive and integrated genome-wide platform based on a dual protein-coding and non-coding integrated CRISPRa screening (DICaS). Putative resistance genes were initially identified using pharmacogenetic data from 760 human pan-cancer cell lines. Subsequently, genome scale functional characterization of both coding and long non-coding RNA (lncRNA) genes by CRISPR activation was performed. For lncRNA functional assessment, we developed a CRISPR activation of lncRNA (CaLR) strategy, targeting 14,701 lncRNA genes. Computational and functional analysis identified novel cell-cycle, survival/apoptosis, and cancer signaling genes. Furthermore, transcriptional activation of the GAS6-AS2 lncRNA, identified in our analysis, leads to hyperactivation of the GAS6/TAM pathway, a resistance mechanism in multiple cancers including AML. Thus, DICaS represents a novel and powerful approach to identify integrated coding and non-coding pathways of therapeutic relevance. A CRISPR activation screen identifies both coding and noncoding pathways involved in resistance to chemotherapy.

Original languageEnglish
Pages (from-to)649-664.e20
JournalCell
Volume173
Issue number3
DOIs
StatePublished - 19 Apr 2018
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2018 Elsevier Inc.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • AML
  • AXL/GAS6
  • CRISPR
  • CRISPRa
  • TEM
  • cancer
  • cytarabine
  • drug-resistance
  • leukemia
  • lncRNA

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