Deutsch
 
Hilfe Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Forschungspapier

AutoRELACS: Automated Generation And Analysis of Ultra-parallel ChIP-seq

MPG-Autoren

Arrigoni,  Laura
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

Ferrari,  Fernando
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

Weller,  J.
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

Bella,  Chiara
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

/persons/resource/persons241909

Bönisch,  Ulrike
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

/persons/resource/persons50420

Manke,  Thomas
Max Planck Institute of Immunobiology and Epigenetics, Max Planck Society;

Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Arrigoni, L., Ferrari, F., Weller, J., Bella, C., Bönisch, U., & Manke, T. (2020). AutoRELACS: Automated Generation And Analysis of Ultra-parallel ChIP-seq. Scientific Reports, 10, 12400. doi:org/10.1101/2020.03.30.016287.


Zitierlink: https://hdl.handle.net/21.11116/0000-0006-3B11-5
Zusammenfassung
Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is a method used to profile protein-DNA interactions genome-wide. RELACS (Restriction Enzyme-based Labeling of Chromatin in Situ) is a recently developed ChIP-seq protocol that deploys a chromatin barcoding strategy to enable standardized and high-throughput generation of ChIP-seq data. The manual implementation of RELACS is constrained by human processivity in both data generation and data analysis. To overcome these limitations, we have developed AutoRELACS, an automated implementation of the RELACS protocol using the liquid handler Biomek i7 workstation. We match the unprecedented processivity in data generation allowed by AutoRELACS with the automated computation pipelines offered by snakePipes. In doing so, we build a continuous workflow that streamlines epigenetic profiling, from sample collection to biological interpretation. Here, we show that AutoRELACS successfully automates chromatin barcode integration, and is able to generate high-quality ChIP-seq data comparable with the standards of the manual protocol, also for limited amounts of biological samples.