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Whole genome methylation sequencing for daughter fertility DNA mehylation biomarker

ABSTRACT: Whole genome methylation sequencing for daughter fertility DNA mehylation biomarker

PROVIDER: PRJNA872919 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR21203400_1.fastq.gz	Fastqsanger.gz
	SRR21203400_2.fastq.gz	Fastqsanger.gz
	SRR21203401_1.fastq.gz	Fastqsanger.gz
	SRR21203401_2.fastq.gz	Fastqsanger.gz
	SRR21203402_1.fastq.gz	Fastqsanger.gz

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Whole genome methylation sequencing for daughter fertility DNA mehylation biomarker

Project description:high daughter fertility and low daughter fertility bulls were screened from the private bull database and then identify the sperm-derived DMR and DMC that associated with daughter fertility via whole genome methylation sequencing

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Whole geneome methylation sequencing for bull fertility DNA mehylation biomarker

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Whole geneome methylation sequencing for bull fertility DNA mehylation biomarker

Project description:High fertility and low fertility bulls were screened from the a 6000 bull database and then identify the sperm-derived DMR and DMC that assoiated with bull ferrtility via whole genome methtlation sequencing

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Sperm-borne tsRNAs and microRNA analysis in relation to dairy cattle fertility

Project description:Purpose: Screening the sperm sncRNAs that are responsible for dairy cattle fertility is of great interest, however, exploring the fertility-associated sncRNAs in sperm and linking them with the epigenetic inheritance in bovine has not been performed yet. Here in this study, we hypothesized that some sncRNAs in bovine sperm have a great potential to be linked with direct and immediate bull fertility data and could later influence the embryo and possibly impacting the daughter fertility. Methods: 12 bovine cryopreserved semen (high bull fertility, n=3 VS low bull fertility, n=3; high daughter fertility, n=3 vs low daughter fertility, n=3) that came from a pre-filtered 100 bull list (Figure 1) had been selected to extract total sperm RNA, the somatic cell lysis buffer had been added during the RNA extraction process to avoid the somatic cell pollution. The maternal and other confounding factors had been taken into consideration during the calculation of the phenotype criteria index.After the library construction, the library size that was smaller than 200 base pairs (adapter size around 125 nt) had been cut and sent for next-generation sequencing Results: bull fertility and daughter fertility related sncRNAs had been identified. Conclusions: providing promising epigenetic biomarker for cattle fertility improvement in the future, although these small non-coding RNAs need to be validated in larger sample sizes before being used as biomarkers.

2024-02-16 | GSE225705 | GEO

Integration of whole-genome DNA methylation data with RNA sequencing data to identify markers for bull fertility

Project description:Predicting dairy bull fertility is a current challenge for the dairy industry. The goal of this study was to integrate DNA methylation data with previously published RNA sequencing results in order to identify candidate markers for sire fertility.

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DNA methylation sequencing of the goat ovarian samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth).

Project description:The aim of this study was to explore DNA methylation status in the ovarian samples of two different population of goat (high fertility and low fertility groups). We profiled DNA methylation sequencing of the goat ovarian samples from high fertility group (>three babys per birth) and low fertility group (< two babys per birth).

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Project description:Autism spectrum disorder (ASD) has increased over ten-fold over the past several decades, and appears predominantly associated with paternal transmission. Although genetics is anticipated to be a component of ASD etiology, environmental epigenetics is now thought to be an important factor. Epigenetic alterations, such as DNA methylation have been correlated with ASD. The current study was designed to identify a DNA methylation signature in sperm as a potential biomarker to identify paternal offspring autism susceptibility. Sperm samples were obtained from fathers, many undergoing in vitro fertilization (IVF) procedures, that have children with or without autism, and the sperm then assessed for alterations in DNA methylation. Differential DNA methylation regions (DMRs) were identified in the sperm of fathers with autistic children in comparison to those without ASD children. An MeDIP-seq procedure was used to identify DMRs. The genomic features and genes associated with the DMRs were identified. The potential sperm DMR biomarker was validated with a blinded test set of individuals. Observations demonstrate a significant set of DMRs in sperm can potentially act as a biomarker for paternal offspring autism susceptibility.

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