PiggyBac transposon tools for recessive screening identify B-cell lymphoma drivers in mice

  • Julia Weber
  • , Jorge de la Rosa
  • , Carolyn S. Grove
  • , Markus Schick
  • , Lena Rad
  • , Olga Baranov
  • , Alexander Strong
  • , Anja Pfaus
  • , Mathias J. Friedrich
  • , Thomas Engleitner
  • , Robert Lersch
  • , Rupert Öllinger
  • , Michael Grau
  • , Irene Gonzalez Menendez
  • , Manuela Martella
  • , Ursula Kohlhofer
  • , Ruby Banerjee
  • , Maria A. Turchaninova
  • , Anna Scherger
  • , Gary J. Hoffman
  • Julia Hess, Laura B. Kuhn, Tim Ammon, Johnny Kim, Günter Schneider, Kristian Unger, Ursula Zimber-Strobl, Mathias Heikenwälder, Marc Schmidt-Supprian, Fengtang Yang, Dieter Saur, Pentao Liu, Katja Steiger, Dmitriy M. Chudakov, Georg Lenz, Leticia Quintanilla-Martinez, Ulrich Keller, George S. Vassiliou, Juan Cadiñanos, Allan Bradley, Roland Rad

Publikation: Beitrag in FachzeitschriftArtikelBegutachtung

46 Zitate (Scopus)

Abstract

B-cell lymphoma (BCL) is the most common hematologic malignancy. While sequencing studies gave insights into BCL genetics, identification of non-mutated cancer genes remains challenging. Here, we describe PiggyBac transposon tools and mouse models for recessive screening and show their application to study clonal B-cell lymphomagenesis. In a genome-wide screen, we discover BCL genes related to diverse molecular processes, including signaling, transcriptional regulation, chromatin regulation, or RNA metabolism. Cross-species analyses show the efficiency of the screen to pinpoint human cancer drivers altered by non-genetic mechanisms, including clinically relevant genes dysregulated epigenetically, transcriptionally, or post-transcriptionally in human BCL. We also describe a CRISPR/Cas9-based in vivo platform for BCL functional genomics, and validate discovered genes, such as Rfx7, a transcription factor, and Phip, a chromatin regulator, which suppress lymphomagenesis in mice. Our study gives comprehensive insights into the molecular landscapes of BCL and underlines the power of genome-scale screening to inform biology.

OriginalspracheEnglisch
Aufsatznummer1415
FachzeitschriftNature Communications
Jahrgang10
Ausgabenummer1
DOIs
PublikationsstatusVeröffentlicht - 1 Dez. 2019

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