An epigenetic timer of gestation length in mice [CUT&RUN]
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1015689 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR26044900_1.fastq.gz | Fastqsanger.gz | |||
| SRR26044900_2.fastq.gz | Fastqsanger.gz | |||
| SRR26044901_1.fastq.gz | Fastqsanger.gz | |||
| SRR26044901_2.fastq.gz | Fastqsanger.gz | |||
| SRR26044902_1.fastq.gz | Fastqsanger.gz |
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Project description:Timing mechanisms in biology remain poorly understood. As one prime example, little is known about the mechanisms that specify how long the gestating uterus will remain quiescent before entering labor1. Our lack of insight into this fundamental question, which applies to all mammalian species, also limits investigation into potential causes of preterm labor, a major human pregnancy complication. Here, we provide evidence that gestation length in mice is determined by an epigenetic timer that runs autonomously within the fibroblasts of the pregnant uterus. The timer is set during the peri-implantation period when select genomic loci establish appropriate levels of the repressive histone mark H3K27me3. These loci then progressively lose H3K27me3, thereby scheduling the uterine cell state transitions and associated gene expression changes of late gestation that are the proximal mediators of labor onset. Overwinding of the timer’s peri-implantation setpoint via genetic ablation of the histone demethylase KDM6B delays these transitions and extends gestation length. These results provide insight into how complex tissues employ epigenetic pathways to specify the timing of discrete biological events. We also anticipate that further dissection of the ways such uterine programming controls gestation length may suggest novel approaches for improving human pregnancy outcomes.
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Project description:An epigenetic timer of gestation length in mice [scRNA-Seq]
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Project description:Current efforts investigating parturition timing mechanisms have focused on the proximal triggers of labor onset generated in late gestation. By studying the delayed parturition phenotype of mice with uterine fibroblast deficiencies in the histone H3K37me3 demethylase KDM6B, we provide evidence that parturition timing is regulated by events that take place in early pregnancy. Immediately after copulation, uterine fibroblasts engage in a locus-specific, epigenetic program that abruptly adjusts H3K27me3 levels across their genome. In the absence of KDM6B, many of the adjusted loci over-accumulate H3K27me3. This over-accumulation leads to nearby genes being misexpressed in mid-to-late gestation, a delayed effect partly attributable to a second locus-specific but KDM6B-independent process initiated within uterine fibroblasts soon after implantation. This second process employs progressive H3K27me3 loss to temporally structure post-midgestational patterns of gene induction. Further dissection of the ways uterine programming controls parturition timing may have relevance to human pregnancy complications such as preterm labor.
2025-01-06 | GSE242988 | GEO
Project description:G1 length dictates heterochromatin landscape [CUT&RUN]
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Project description:CUT&RUN-seq of H3K4me3, H3K27me3 and H3K27ac in mouse ESCs carrying a homozygous point mutation in the catalytic domain of mll2[Y2602A]. CUT&RUN was performed according to Skene & Henikoff, 2017 and purified DNA was using for library preparation with NEBNext DNA Ultra II kit (NEB E7645S; input: 5 ng of DNA). Libraries were multiplexed and sequenced on a NextSeq500 (Paired-End; read length 40). Each sample is present in 3 biological replicates.
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Project description:SOX6 CUT&RUN on HUDEP1 over expressing SOX6-Flag. The experiment is done using and anti Flag Ab to assist the genome wide binding profile of SOX6 in HUDEP1 (Human Umbilical cord blood-Derived Erythroid Progenitor-1).
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Project description:Cleavage Under Targets and Release Using Nuclease (CUT&RUN) has rapidly gained prominence as an effective approach for mapping protein-DNA interactions, especially histone modifications, offering substantial improvements over conventional chromatin immunoprecipitation sequencing (ChIP-seq). However, the effectiveness of this technique is contingent upon accurate peak identification, necessitating the use of optimal peak calling methods tailored to the unique characteristics of CUT&RUN data. Here, we benchmark four prominent peak calling tools - MACS2, SEACR, GoPeaks, and LanceOtron - evaluating their performance in identifying peaks from CUT&RUN datasets. Our analysis utilizes in-house data of three histone marks (H3K4me3, H3K27ac, and H3K27me3) from mouse brain tissue, as well as samples from the 4DNucleome database. We systematically assess these tools based on parameters such as the number of peaks called, peak length distribution, signal enrichment, and reproducibility across biological replicates. Our findings reveal substantial variability in peak calling efficacy, with each method demonstrating distinct strengths in sensitivity, precision, and applicability depending on the histone mark in question. These insights provide a comprehensive evaluation that will assist in selecting the most suitable peak caller for high-confidence identification of regions of interest in CUT&RUN experiments, ultimately enhancing the study of chromatin dynamics and transcriptional regulation.
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Project description:To evaluate the impacts of X-chromosome reactivation on repressive H3K27me3 chromatin marks, allele-specific low input CUT&Run experiments were conducted starting from genomic DNA obtained from FACS-sorted primordial germ cells.
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