Measuring and interpreting transposable element expression
- Creators
- Lanciano, Sophie
- Cristofari, Gael
- Others:
- Institut de Recherche sur le Cancer et le Vieillissement (IRCAN) ; Université Nice Sophia Antipolis (1965 - 2019) (UNS) ; COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
- Université Côte d'Azur (UCA)
- This work was supported by grants to G.C. from the Fondation pour la Recherche Médicale (DEQ20180339170), the Agence Nationale de la Recherche (LABEX SIGNALIFE, ANR-11-LABX-0028-01; RetroMet, ANR-16-CE12-0020; ImpacTE, ANR-19-CE12-0032), the Canceropôle Provence–Alpes–Côte d'Azur, the French National Cancer Institute (INCa) and the Provence–Alpes–Côte d'Azur Region, CNRS (GDR 3546), and the University Hospital Federation (FHU) OncoAge.
- ANR-11-LABX-0028,SIGNALIFE,Réseau d'Innovation sur les Voies de Signalisation en Sciences de la Vie(2011)
- ANR-16-CE12-0020,RETROMET,Rendre unique l'ADN répété ou comment révéler la régulation épigénétique des rétrotransposons L1 dans les cellules somatiques humaines à une résolution inégalée.(2016)
- ANR-19-CE12-0032,ImpacTE,Réseau de régulation et élément LINE-1 : impact global des éléments transposables récents sur l'activité génique chez les Mammifères(2019)
Description
Transposable elements (TEs) are insertional mutagens that contribute greatly to the plasticity of eukaryotic genomes, influencing the evolution and adaptation of species as well as physiology or disease in individuals. Measuring TE expression helps to understand not only when and where TE mobilization can occur, but also how this process alters gene expression, chromatin accessibility or cellular signalling pathways. Although genome-wide gene expression assays such as RNA-sequencing include transposon-derived transcripts, the majority of computational analytical tools discard or misinterpret TE-derived reads. Emerging approaches are improving the identification of expressed TE loci and helping to discriminate TE transcripts that permit TE mobilization from gene-TE chimeric transcripts or pervasive transcription. Here, we review the main challenges associated with the detection of TE expression, including mappability, insertional and internal sequence polymorphisms, and the diversity of the TE transcriptional landscape, as well as the different experimental and computational strategies to solve them.
Abstract
International audience
Additional details
- URL
- https://www.hal.inserm.fr/inserm-03261002
- URN
- urn:oai:HAL:inserm-03261002v1
- Origin repository
- UNICA