RELACS nuclei barcoding enables high-throughput ChIP-seq. (December 2018)
- Record Type:
- Journal Article
- Title:
- RELACS nuclei barcoding enables high-throughput ChIP-seq. (December 2018)
- Main Title:
- RELACS nuclei barcoding enables high-throughput ChIP-seq
- Authors:
- Arrigoni, Laura
Al-Hasani, Hoor
Ramírez, Fidel
Panzeri, Ilaria
Ryan, Devon
Santacruz, Diana
Kress, Nadia
Pospisilik, John
Bönisch, Ulrike
Manke, Thomas - Abstract:
- Abstract Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) is an invaluable tool for mapping chromatin-associated proteins. Current barcoding strategies aim to improve assay throughput and scalability but intense sample handling and lack of standardization over cell types, cell numbers and epitopes hinder wide-spread use in the field. Here, we present a barcoding method to enable high-throughput ChIP-seq using common molecular biology techniques. The method, called RELACS (restriction enzyme-based labeling of chromatin in situ) relies on standardized nuclei extraction from any source and employs chromatin cutting and barcoding within intact nuclei. Barcoded nuclei are pooled and processed within the same ChIP reaction, for maximal comparability and workload reduction. The innovative barcoding concept is particularly user-friendly and suitable for implementation to standardized large-scale clinical studies and scarce samples. Aiming to maximize universality and scalability, RELACS can generate ChIP-seq libraries for transcription factors and histone modifications from hundreds of samples within three days. Laura Arrigoni et al. present RELACS, a method enabling high-throughput ChIP-seq which involves barcoding and processing intact nuclei in the same ChIP reaction. The method is useful for broad cell types and epitopes, robust to experimental conditions, and drastically decreases workload.
- Is Part Of:
- Communications biology. Volume 1:Number 1(2018)
- Journal:
- Communications biology
- Issue:
- Volume 1:Number 1(2018)
- Issue Display:
- Volume 1, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 1
- Issue:
- 1
- Issue Sort Value:
- 2018-0001-0001-0000
- Page Start:
- 1
- Page End:
- 12
- Publication Date:
- 2018-12
- Subjects:
- Systems biology -- Periodicals
570.113 - Journal URLs:
- http://link.springer.com/ ↗
https://www.nature.com/commsbio/ ↗ - DOI:
- 10.1038/s42003-018-0219-z ↗
- Languages:
- English
- ISSNs:
- 2399-3642
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12692.xml