Statistical modeling of immunoprecipitation efficiency of MeRIP-seq data enabled accurate detection and quantification of epitranscriptome. [PDF]
Comput Struct Biotechnol JWang H +8 more
europepmc +3 more sources
Frontiers in Cell and Developmental Biology, 2022 Aim: To comprehensively profile the landscape of the mRNA N6-methyladenosine (m6A) modification in human colorectal cancer (CRC).Methods: Methylated RNA immunoprecipitation sequencing (MeRIP-seq) was explored to compare the difference in mRNA N6 ...
Na Li +5 more
doaj +1 more source
Role of m6A RNA Methylation in Thyroid Cancer Cell Lines [PDF]
, 2022 N6-methyladenosine (m6A) is the most abundant internal modification of RNA in eukaryotic cells, and, in recent years, it has gained increasing attention.
Allegri L. +4 more
core +1 more source
MeRIPseqPipe: an integrated analysis pipeline for MeRIP-seq data based on Nextflow
Bioinformatics, 2022 Abstract Summary MeRIPseqPipe is an integrated and automatic pipeline that can provide users a friendly solution to perform in-depth mining of MeRIP-seq data. It integrates many functional analysis modules, range from basic processing to downstream analysis.
Xiaoqiong Bao +7 more
openaire +2 more sources
Conserved reduction of m6A RNA modifications during aging and neurodegeneration is linked to changes in synaptic transcripts [PDF]
, 2023 N6-methyladenosine (m6A) regulates mRNA metabolism. While it has been implicated in the development of the mammalian brain and in cognition, the role of m6A in synaptic plasticity, especially during cognitive decline, is not fully understood.
Berulava, T. +14 more
core +1 more source
Epitranscriptomic Regulation in Synaptic Plasticity, Aging and Neurodegeneration [PDF]
, 2022 The regulation of synaptic transmission and plasticity is essential for correct brain function, especially for learning and memory, while the weakening of synaptic transmission and loss of plasticity are hallmarks of the decline of cognitive function ...
Castro Hernández, Ricardo
core +1 more source
Refined RIP-seq protocol for epitranscriptome analysis with low input materials. [PDF]
PLoS Biology, 2018 N6-Methyladenosine (m6A) accounts for approximately 0.2% to 0.6% of all adenosine in mammalian mRNA, representing the most abundant internal mRNA modifications.
Yong Zeng +11 more
doaj +1 more source
METTL14-mediated Epitranscriptome Modification of Mn1 Mrna Promote Tumorigenicity and All-trans-retinoic Acid Resistance in Osteosarcoma [PDF]
, 2022 BACKGROUND: Osteosarcoma (OS) is the most common primary malignant bone tumor in adolescents. The molecular mechanism behind OS progression and metastasis remains poorly understood, which limits the effectiveness of current therapies.
Chen, Jun-Kai +9 more
core +2 more sources
Ecotoxicology and Environmental Safety, 2022 Particulate matter (PM) exposure is identified as a critical risk factor for chronic airway diseases, but the biological mechanism of PM-induced lung damage was not fully elucidated.
Juan Song +7 more
doaj +1 more source
REPIC: a database for exploring the N 6-methyladenosine methylome
Genome Biology, 2020 The REPIC (RNA E PItranscriptome Collection) database records about 10 million peaks called from publicly available m6A-seq and MeRIP-seq data using our unified pipeline. These data were collected from 672 samples of 49 studies, covering 61 cell lines or
Shun Liu +3 more
doaj +1 more source