m6A Epitranscriptome Research Articles

Refined RIP-seq protocol for epitranscriptome analysis with low input materials.

N6-Methyladenosine (m6A) accounts for approximately 0.2% to 0.6% of all adenosine in mammalian mRNA, representing the most abundant internal mRNA modifications. m6A RNA immunoprecipitation followed by high-throughput sequencing (MeRIP-seq) is a powerful technique to map the m6A location transcriptome-wide. However, this method typically requires 300 μg of total RNA, which limits its application to patient tumors. In this study, we present a refined m6A MeRIP-seq protocol and analysis pipeline that can be applied to profile low-input RNA samples from patient tumors. We optimized the key parameters of m6A MeRIP-seq, including the starting amount of RNA, RNA fragmentation, antibody selection, MeRIP washing/elution conditions, methods for RNA library construction, and the bioinformatics analysis pipeline. With the optimized immunoprecipitation (IP) conditions and a postamplification rRNA depletion strategy, we were able to profile the m6A epitranscriptome using 500 ng of total RNA. We identified approximately 12,000 m6A peaks with a high signal-to-noise (S/N) ratio from 2 lung adenocarcinoma (ADC) patient tumors. Through integrative analysis of the transcriptome, m6A epitranscriptome, and proteome data in the same patient tumors, we identified dynamics at the m6A level that account for the discordance between mRNA and protein levels in these tumors. The refined m6A MeRIP-seq method is suitable for m6A epitranscriptome profiling in a limited amount of patient tumors, setting the ground for unraveling the dynamics of the m6A epitranscriptome and the underlying mechanisms in clinical settings.

Synaptic N6-methyladenosine (m6A) epitranscriptome reveals functional partitioning of localized transcripts.

A localized transcriptome at the synapse facilitates synapse-, stimulus- and transcript-specific local protein synthesis in response to neuronal activity. While enzyme-mediated mRNA modifications are known to regulate cellular mRNA turnover, the role of these modifications in regulating synaptic RNA has not been studied. We established low-input m6A-sequencing of synaptosomal RNA to determine the chemically modified local transcriptome in healthy adult mouse forebrains and identified 4,469 selectively enriched m6A sites in 2,921 genes as the synaptic m6A epitranscriptome (SME). The SME is functionally enriched in synthesis and modulation of tripartite synapses and in pathways implicated in neurodevelopmental and neuropsychiatric diseases. Interrupting m6A-mediated regulation via knockdown of readers in hippocampal neurons altered expression of SME member Apc, resulting in synaptic dysfunction including immature spine morphology and dampened excitatory synaptic transmission concomitant with decreased clusters of postsynaptic density-95 (PSD-95) and decreased surface expression of AMPA receptor subunit GluA1. Our findings indicate that chemical modifications of synaptic mRNAs critically contribute to synaptic function.

M(6)A-LAIC-seq reveals the census and complexity of the m(6)A epitranscriptome.

N(6)-Methyladenosine (m(6)A) is a widespread, reversible chemical modification of RNA molecules, implicated in many aspects of RNA metabolism. Little quantitative information exists as to either how many transcript copies of particular genes are m(6)A modified ('m(6)A levels') or the relationship of m(6)A modification(s) to alternative RNA isoforms. To deconvolute the m(6)A epitranscriptome, we developed m(6)A-level and isoform-characterization sequencing (m(6)A-LAIC-seq). We found that cells exhibit a broad range of nonstoichiometric m(6)A levels with cell-type specificity. At the level of isoform characterization, we discovered widespread differences in the use of tandem alternative polyadenylation (APA) sites by methylated and nonmethylated transcript isoforms of individual genes. Strikingly, there is a strong bias for methylated transcripts to be coupled with proximal APA sites, resulting in shortened 3' untranslated regions, while nonmethylated transcript isoforms tend to use distal APA sites. m(6)A-LAIC-seq yields a new perspective on transcriptome complexity and links APA usage to m(6)A modifications.