Please use this identifier to cite or link to this item: http://doi.org/10.25358/openscience-9966
Authors: Chan, Ya-Chien
Kienle, Eike
Oti, Martin
Di Liddo, Antonella
Mendez-Lago, Maria
Aschauer, Dominik F.
Peter, Manuel
Pagani, Michaela
Arnold, Cosmas
Vonderheit, Andreas
Schön, Christian
Kreuz, Sebastian
Stark, Alexander
Rumpel, Simon
Title: An unbiased AAV-STARR-seq screen revealing the enhancer activity map of genomic regions in the mouse brain in vivo
Online publication date: 24-Jan-2024
Year of first publication: 2023
Language: english
Abstract: Enhancers are important cis-regulatory elements controlling cell-type specific expression patterns of genes. Furthermore, combinations of enhancers and minimal promoters are utilized to construct small, artificial promoters for gene delivery vectors. Large-scale functional screening methodology to construct genomic maps of enhancer activities has been successfully established in cultured cell lines, however, not yet applied to terminally differentiated cells and tissues in a living animal. Here, we transposed the Self-Transcribing Active Regulatory Region Sequencing (STARR-seq) technique to the mouse brain using adeno-associated-viruses (AAV) for the delivery of a highly complex screening library tiling entire genomic regions and covering in total 3 Mb of the mouse genome. We identified 483 sequences with enhancer activity, including sequences that were not predicted by DNA accessibility or histone marks. Characterizing the expression patterns of fluorescent reporters controlled by nine candidate sequences, we observed differential expression patterns also in sparse cell types. Together, our study provides an entry point for the unbiased study of enhancer activities in organisms during health and disease.
DDC: 610 Medizin
610 Medical sciences
Institution: Johannes Gutenberg-Universität Mainz
Department: FB 04 Medizin
Place: Mainz
ROR: https://ror.org/023b0x485
DOI: http://doi.org/10.25358/openscience-9966
Version: Published version
Publication type: Zeitschriftenaufsatz
Document type specification: Scientific article
License: CC BY
Information on rights of use: https://creativecommons.org/licenses/by/4.0/
Journal: Scientific reports
13
Pages or article number: 6745
Publisher: Macmillan Publishers Limited, part of Springer Nature
Publisher place: London
Issue date: 2023
ISSN: 2045-2322
Publisher DOI: 10.1038/s41598-023-33448-w
Appears in collections:DFG-491381577-G

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