A conditional piggyBac transposition system for genetic screening in mice identifies oncogenic networks in pancreatic cancer
Roland Rad and colleagues report development of a new conditional piggyBac transposition system for performing insertional mutagenesis screens in mice. They apply the system to identify new oncogenic driver pathways for pancreatic cancer. Here we describe a conditional piggyBac transposition system...
Gespeichert in:
Veröffentlicht in: | Nature genetics 2015-01, Vol.47 (1), p.47-56 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Roland Rad and colleagues report development of a new conditional
piggyBac
transposition system for performing insertional mutagenesis screens in mice. They apply the system to identify new oncogenic driver pathways for pancreatic cancer.
Here we describe a conditional
piggyBac
transposition system in mice and report the discovery of large sets of new cancer genes through a pancreatic insertional mutagenesis screen. We identify Foxp1 as an oncogenic transcription factor that drives pancreatic cancer invasion and spread in a mouse model and correlates with lymph node metastasis in human patients with pancreatic cancer. The propensity of
piggyBac
for open chromatin also enabled genome-wide screening for cancer-relevant noncoding DNA, which pinpointed a
Cdkn2a cis
-regulatory region. Histologically, we observed different tumor subentities and discovered associated genetic events, including
Fign
insertions in hepatoid pancreatic cancer. Our studies demonstrate the power of genetic screening to discover cancer drivers that are difficult to identify by other approaches to cancer genome analysis, such as downstream targets of commonly mutated human cancer genes. These
piggyBac
resources are universally applicable in any tissue context and provide unique experimental access to the genetic complexity of cancer. |
---|---|
ISSN: | 1061-4036 1546-1718 |
DOI: | 10.1038/ng.3164 |