Dataset Information


ChIP-seq and RNA-seq for complex and low-abundance tree buds reveal chromatin and expression co-dynamics during sweet cherry bud dormancy

ABSTRACT: Chromatin immunoprecipitation-sequencing (ChIP-seq) is a robust technique to study interactions between proteins, such as histones or transcription factors, and DNA. This technique in combination with RNA-sequencing (RNA-seq) is a powerful tool to better understand biological processes in eukaryotes. We developed a combined ChIP-seq and RNA-seq protocol for tree buds (Prunus avium L., Prunus persica L Batch, Malus x domestica Borkh.) that has also been successfully tested on Arabidopsis thaliana and Saccharomyces cerevisiae. Tree buds contain phenolic compounds that negatively interfere with ChIP and RNA extraction. In addition to solving this problem, our protocol is optimised to work on small amounts of material. Furthermore, one of the advantages of this protocol is that samples for ChIP-seq are cross-linked after flash freezing, making it possible to work on trees growing in the field and to perform ChIP-seq and RNA-seq on the same starting material. Focusing on dormant buds in sweet cherry, we explored the link between expression level and H3K4me3 enrichment for all genes, including a strong correlation between H3K4me3 enrichment at the DORMANCY-ASSOCIATED MADS-box 5 (PavDAM5) loci and its expression pattern. This protocol will allow analysis of chromatin and transcriptomic dynamics in tree buds, notably during its development and response to the environment. Overall design: Branches and flower buds were collected for the RNA-seq and ChIP-seq experiments from the sweet cherry cultivar 'Burlat' at three dates (Date1: October 21st 2014, Date 2: December 5th 2014; Date 3: January 27th 2015). Dates 1 and 2 correspond to dormant flower buds and Date 3 corresponds to non-dormant buds.

INSTRUMENT(S): Illumina NextSeq 500 (Prunus avium)

ORGANISM(S): Prunus Avium

SUBMITTER: Benedicte Wenden  

PROVIDER: GSE141983 | GEO | 2019-12-14


Dataset's files


Similar Datasets

2019-12-16 | GSE130426 | GEO
| S-EPMC5437698 | BioStudies
| S-EPMC9305585 | BioStudies
| S-EPMC6927351 | BioStudies
| S-EPMC6070981 | BioStudies
| S-EPMC5139674 | BioStudies
| S-EPMC8222350 | BioStudies
| S-EPMC7380246 | BioStudies
| S-EPMC5511853 | BioStudies
| S-EPMC6669712 | BioStudies