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Succinylation of H3K122 destabilizes nucleosomes and enhances transcription.

ABSTRACT: Histone post-translational modifications (PTMs) are key players in chromatin regulation. The identification of novel histone acylations raises important questions regarding their role in transcription. In this study, we characterize the role of an acylation on the lateral surface of the histone octamer, H3K122 succinylation (H3K122succ), in chromatin function and transcription. Using chromatin succinylated at H3K122 in in vitro transcription assays, we show that the presence of H3K122succ is sufficient to stimulate transcription. In line with this, we found in our ChIP assays H3K122succ enriched on promoters of active genes and H3K122succ enrichment scaling with gene expression levels. Furthermore, we show that the co-activators p300/CBP can succinylate H3K122 and identify sirtuin 5 (SIRT5) as a new desuccinylase. By applying single molecule FRET assays, we demonstrate a direct effect of H3K122succ on nucleosome stability, indicating an important role for histone succinylation in modulating chromatin dynamics. Together, these data provide the first insights into the mechanisms underlying transcriptional regulation by H3K122succ.

SUBMITTER: Zorro Shahidian L

PROVIDER: S-EPMC7926236 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Succinylation of H3K122 destabilizes nucleosomes and enhances transcription.

Zorro Shahidian Lara L Haas Mariska M Le Gras Stephanie S Nitsch Sandra S Mourão André A Geerlof Arie A Margueron Raphael R Michaelis Jens J Daujat Sylvain S Schneider Robert R

EMBO reports 20210129 3

Histone post-translational modifications (PTMs) are key players in chromatin regulation. The identification of novel histone acylations raises important questions regarding their role in transcription. In this study, we characterize the role of an acylation on the lateral surface of the histone octamer, H3K122 succinylation (H3K122succ), in chromatin function and transcription. Using chromatin succinylated at H3K122 in in vitro transcription assays, we show that the presence of H3K122succ is suf ...[more]

PMID: 33512761

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Project description:In computational methods, position weight matrices (PWMs) are commonly applied for transcription factor binding site (TFBS) prediction. Although these matrices are more accurate than simple consensus sequences to predict actual binding sites, they usually produce a large number of false positive (FP) predictions and so are impoverished sources of information. Several studies have employed additional sources of information such as sequence conservation or the vicinity to transcription start sites to distinguish true binding regions from random ones. Recently, the spatial distribution of modified nucleosomes has been shown to be associated with different promoter architectures. These aligned patterns can facilitate DNA accessibility for transcription factors. We hypothesize that using data from these aligned and periodic patterns can improve the performance of binding region prediction. In this study, we propose two effective features, "modified nucleosomes neighboring" and "modified nucleosomes occupancy", to decrease FP in binding site discovery. Based on these features, we designed a logistic regression classifier which estimates the probability of a region as a TFBS. Our model learned each feature based on Sp1 binding sites on Chromosome 1 and was tested on the other chromosomes in human CD4+T cells. In this work, we investigated 21 histone modifications and found that only 8 out of 21 marks are strongly correlated with transcription factor binding regions. To prove that these features are not specific to Sp1, we combined the logistic regression classifier with the PWM, and created a new model to search TFBSs on the genome. We tested the model using transcription factors MAZ, PU.1 and ELF1 and compared the results to those using only the PWM. The results show that our model can predict Transcription factor binding regions more successfully. The relative simplicity of the model and capability of integrating other features make it a superior method for TFBS prediction.

Dataset Information

Succinylation of H3K122 destabilizes nucleosomes and enhances transcription.

Publications

Succinylation of H3K122 destabilizes nucleosomes and enhances transcription.

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