Results 121 to 130 of about 3,943 (138)

RBM15B promotes hepatocellular carcinoma progression via IGF2BP1-mediated ITSN2 mRNA stabilization. [PDF]

J Cancer Res Clin Oncol
Xu Y, Xiong M, Chen W, Yao C, Chen Y, Man D, Xie H, Ye X, Jia C.   +8 more
europepmc   +1 more source

Poxvirus infection triggers remodeling of host m⁶A epitranscriptome and benefits from the m⁶A regulatory responses. [PDF]

Virol J
Kwon T, Morales DP, Mikolitis AS, Mach PM, Gleasner CD, Micheva-Viteva SN.   +5 more
europepmc   +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, Kaiyu Zhu, Xuefei Liu
exaly   +3 more sources

MeRIP-PF: An Easy-to-Use Pipeline for High-Resolution Peak-Finding in MeRIP-Seq Data

Genomics, Proteomics and Bioinformatics, 2013
Abstract RNA modifications, especially methylation of the N6 position of adenosine (A)—m6A, represent an emerging research frontier in RNA biology. With the rapid development of high-throughput sequencing technology, in-depth study of m6A distribution and function relevance becomes feasible.
Cuiping Li
exaly   +3 more sources

A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package [PDF]

Methods, 2014
Despite the prevalent studies of DNA/Chromatin related epigenetics, such as, histone modifications and DNA methylation, RNA epigenetics has not drawn deserved attention until a new affinity-based sequencing approach MeRIP-Seq was developed and applied to survey the global mRNA N6-methyladenosine (m(6)A) in mammalian cells. As a marriage of ChIP-Seq and
Jia Meng, Zhiliang Lu, Yidong Chen
exaly   +3 more sources

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MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018
N6-Methyladenosine (m6A) transcriptome methylation is an exciting new research area that just captures the attention of research community. We present in this paper, MeTDiff, a novel computational tool for predicting differential m6A methylation sites from Methylated RNA immunoprecipitation sequencing (MeRIP-Seq) data.
Xiaodong Cui, Jia Meng, Manjeet K Rao
exaly   +3 more sources

Modeling of replicates variances for detecting RNA methylation site in MERIP-SEQ data

2015 IEEE China Summit and International Conference on Signal and Information Processing (ChinaSIP), 2015
The recent advent of the state-of-art high throughput sequencing technology, known as Methylated RNA immunoprecipitation (IP) sequencing (MeRIP-Seq), provided the biologists the first global view of epigenetic modifications on the transcriptome at a high resolution.
Xiaodong Cui, Jia Meng, Yufei Huang
exaly   +2 more sources

Detecting differentially methylated mRNA from MeRIP-Seq with likelihood ratio test

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014
The study of mRNA methylation is an emerging research field greatly fueled by recent advancement in high throughput sequencing technology. We propose here a binomial likelihood ratio test ("bltest") aiming at detecting differentially methylated mRNA with MeRIP-Seq data, "bltest" models the read counts of each RNA methylation site in IP and input ...
Jia Meng, Xiaodong Cui, Shao-Wu Zhang
exaly   +2 more sources

MeRIP-seq

2022
MeRIP-seq of B16 ...
openaire   +1 more source

m6A modification profiles of the CHO cells with differential recombinant protein expression using MeRIP-seq/RNA-seq

International Journal of Biological Macromolecules
Chinese hamster ovary (CHO) cells remain the primary host system for recombinant therapeutic protein production. Enhancing transgene expression efficiency while maintaining stable production persists as a key challenge in CHO cell engineering. While N6-methyladenosine (m6A) modification - the most abundant RNA methylation - regulates RNA stability and ...
Jiang-Tao Lu, Le-Le Qiu
exaly   +3 more sources