Dataset Information

Developmental Profile of DNA Methylation in the Developing Heart

ABSTRACT: Background: To better understand the role DNA methylation plays in regulating gene expression in the developng heart and furthermore the role it plays in heart development we performed genome wide DNA methylation profiling of embryonic hearts at embryonic day (E)11.5 and E14.5 using methyl sensitive tiny fragment enrichment coupled with massive parallel sequencing by using the methyl-sensitive restriction enzyme HpyCH4IV, recognition site 'ACGT'. Results: We found that global methylation remains stable at analyzed 'ACGT' sites (1.64 million site) in developing hearts between E11.5 and E14.5. However, differential methylation was identified at individual loci enriched at genes involved in heart development suggesting a role for DNA methylation in the developing heart.

ORGANISM(S): Mus musculus

PROVIDER: GSE55141 | GEO | 2014/06/27

SECONDARY ACCESSION(S): PRJNA238622

REPOSITORIES: GEO

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Project description:All large-scale LC-MS/MS post-translational methylation site discovery experiments require methylpeptide spectrum matches (methyl-PSMs) to be identified at acceptably low false discovery rates (FDRs). To meet estimated methyl-PSM FDRs, methyl-PSM filtering criteria are often determined using the target-decoy approach. The efficacy of this methyl-PSM filtering approach has, however, yet to be thoroughly evaluated. Here we conduct a systematic analysis of methyl-PSM FDRs across a range of sample preparation workflows (each differing in their exposure to the alcohols methanol and isopropanol) and mass spectrometric instrument platforms (each employing a different mode of MS/MS dissociation). Through 13CD3-methionine labeling (heavy-methyl SILAC) of S. cerevisiae cells and in-depth manual data inspection, accurate lists of true positive methyl-PSMs were determined, allowing methyl-PSM FDRs to be compared to target-decoy approach-derived methyl-PSM FDR estimates. These results show that global FDR estimates produce extremely unreliable methyl-PSM filtering criteria; we demonstrate that this is an unavoidable consequence of the high number of amino acid combinations capable of producing peptide sequences that are isobaric to methylated peptides of a different sequence. Separate methyl-PSM FDR estimates were also found to be unreliable due to prevalent sources of false positive methyl-PSMs that produce high peptide identity score distributions. Incorrect methylation site localizations, peptides containing cysteinyl-S-β-propionamide, and methylated glutamic or aspartic acid residues can partially, but not wholly, account for these false positive methyl-PSMs. Together these results indicate that the target-decoy approach is an unreliable means of estimating methyl-PSM FDRs and methyl-PSM filtering criteria. We suggest that orthogonal methylpeptide validation (e.g. heavy-methyl SILAC or its offshoots) should be considered a prerequisite for obtaining high confidence methyl-PSMs in large-scale LC-MS/MS methylation site discovery experiments, and make recommendations on how to reduce methyl-PSM FDRs in samples not amenable to heavy isotope labeling.

Dataset Information

Developmental Profile of DNA Methylation in the Developing Heart

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