MRM3

Last update 23 Jan 2025

Basic Info

Synonyms

16S rRNA (guanosine(1370)-2'-O)-methyltransferase, 16S rRNA [Gm1370] 2'-O-methyltransferase, FLJ10581

+ [7]

Introduction

S-adenosyl-L-methionine-dependent 2'-O-ribose methyltransferase that catalyzes the formation of 2'-O-methylguanosine at position 1370 (Gm1370) in the 16S mitochondrial large subunit ribosomal RNA (mtLSU rRNA), a conserved modification in the peptidyl transferase domain of the mtLSU rRNA.

100 Clinical Results associated with MRM3

100 Translational Medicine associated with MRM3

0 Patents (Medical) associated with MRM3

Literatures (Medical) associated with MRM3

19 Dec 2024·The Journal of Physical Chemistry B

All-Atom Perspective of the DENV-3 Methyltransferase Inhibition Mechanism

Article

Author: Wu, Hangfei ; Wang, Xiaohui ; Pang, Kaiwen ; Sun, Zhaoxi ; Liu, Xiao ; Zhang, John Z. H.

The Dengue virus (DENV) is an enveloped, single-stranded RNA virus with several antigenically distinct serotypes (DENV-1 to DENV-5). Dengue fever, as a major public health threat transmitted by mosquitoes, affects millions of people worldwide (especially in tropical and subtropical regions). Toward drug developments of DENV, the nonstructural protein 5 methyltransferase (MTase) serves as an attractive target. The MTase transforms S-adenosyl methionine to S-adenosyl homocysteine (SAH), which is thereby selected as the target with which external drugs compete with. In this work, using alanine scanning with generalized Born and interaction entropy (ASGB-IE), we provide an all-atom perspective of the protein-ligand interactions formed by DENV-3 MTase and SAH derivatives. Residues with consistently high contributions to stabilization are summarized, and the general DENV-3 MTase inhibition mechanism is elucidated. Additionally, the mutational impact on binding thermodynamics is found to be entropy-driven. We also highlight the advantage of the ASGB-IE method for affinity estimation compared to standard end-point protocols, which is highly related to the selection of interfacial residues in free energy estimation. Finally, we performed a thorough scan of the mutational space on critical sites (saturation mutagenesis) and identified 14 mutants causing resistance to the current inhibitors.

01 Apr 2021·Food Research InternationalQ1 · AGRICULTURAL & FORESTRY SCIENCE

Involvement of DNA methylation in regulating the accumulation of the aroma compound indole in tea (Camellia sinensis) leaves during postharvest processing

Q1 · AGRICULTURAL & FORESTRY SCIENCE

Article

Author: Yang, Ziyin ; Gu, Dachuan ; Zhou, Xiaochen ; Zeng, Lanting ; Wu, Shuhua ; Yang, Jie

The manufacturing process of tea (Camellia sinensis), especially oolong tea, involves multiple postharvest stresses. These stresses can induce the formation and accumulation of many important aroma compounds, such as indole-a key floral aroma contributor of oolong tea. However, little is known about the regulation mechanisms of aroma compound formation, especially epigenetic regulation. DNA methylation is an important epigenetic modification. Changes in the DNA methylation levels of promoter sequences can regulate gene expression under stress conditions. In this study, the differences in DNA methylation levels and histone 3 lysine 9 dimethylation levels of indole key biosynthetic gene (tryptophan synthase β-subunit 2, CsTSB2) were detected between untreated and continuous wounding treatment tea leaves. The results show that the DNA methylation levels affect the ability of the basic helix-loop-helix family transcription factor CsMYC2a to bind to the promoter of CsTSB2. Analyses of the transcript levels of DNA methyltransferases during oolong tea processing screened out candidate genes involved in the regulation of secondary metabolite product biosynthesis/accumulation. The results suggest that the domains rearranged methyltransferase 3, a DNA methyltransferase, is involved in the DNA methylation regulation of indole formation during the oolong tea manufacturing process. This is the first report on the involvement of DNA methylation in the regulation of aroma compound formation in tea leaves exposed to postharvest stresses.

20 Jun 2016·Yi chuan = Hereditas

A comparative analysis of genetic diversity of candidate genes associated with type 2 diabetes in worldwide populations.

Article

Author: Xu, Shu-hua ; NuersimanguliAosiman, NuersimanguliAosiman ; Yiliyasi·Aisa, Yiliyasi·Aisa ; Gong, Xian ; Zhang, Chao ; Shi, Ying ; Yang, Xue-wei ; Guan, Ya-qun

Over the last decade, a larger number of type 2 diabetes mellitus (T2DM) susceptible candidate genes have been reported by numerous genome-wide association studies (GWAS). Understanding the genetic diversity of these candidate genes among worldwide populations not only facilitates to elucidating the genetic mechanism of T2DM, but also provides guidance to further studies of pathogenesis of T2DM in any certain population. In this study, we identified 170 genes or genomic regions associated with T2DM by searching the GWAS databases and related literatures. We next analyzed the genetic diversity of these genes (or genomic regions) among present-day human populations by curetting the 1000 Genomes Projects phase1 dataset covering 14 worldwide populations. We further compared the characteristics of T2DM genes in different populations. No significant differences of genetic diversity were observed among the 14 worldwide populations between the T2DM candidate genes and the non-T2DM genes in terms of overall pattern. However, we observed some genes, such as IL20RA, RNMTL1-NXN, NOTCH2, ADRA2A-BTBD7P2, TBC1D4, RBM38-HMGB1P1, UBE2E2, and PPARD, show considerable differentiation between populations. In particular, IL20RA (FST=0.1521) displays the greatest population difference which is mainly contributed by that between Africans and non-Africans. Moreover, we revealed genetic differences between East Asians and Europeans on some candidate genes such as DGKB-AGMO (FST=0.173) and JAZF1 (FST=0.182). Our results indicate that some T2DM susceptible candidate genes harbor highly-differentiated variants between populations. These analyses, despite preliminary, should advance our understanding of the population difference of susceptibility to T2DM and provide insightful reference that future studies can relay on.

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