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Title Authors PubMed ID
1 Neural topic modeling on hyperspheres: Spherical representation learning with von Mises-Fisher mixtures Guo D; Luo Z; Bouguila N; Fan W; 41791177
ENCS
2 Spatio-temporal distribution of AOD and its response to regional energy consumption and air pollution factors in China Su Y; Chen X; Guo J; Yang A; 41308902
ENCS
3 Disentangled representation learning for multi-view clustering via von Mises-Fisher hyperspherical embedding Li Z; Luo Z; Bouguila N; Su W; Fan W; 40664160
ENCS
4 No species left behind: borrowing strength to map data-deficient species Sharma S; Winner K; Pollock LJ; Thorson JT; Mäkinen J; Merow C; Pedersen EJ; Chefira KF; Portmann JM; Iannarilli F; Beery S; de Lutio R; Jetz W; 40571432
BIOLOGY
5 Strategies to Reduce Uncertainties from the Best Available Physicochemical Parameters Used for Modeling Novel Organophosphate Esters across Multimedia Environments Xing C; Ge J; Chen R; Li S; Wang C; Zhang X; Geng Y; Jones KC; Zhu Y; 40105294
CHEMBIOCHEM
6 Exon junction complexes regulate osteoclast-induced bone resorption by influencing the NFATc1 m6A distribution through the "shield effect" Sun B; Yang JG; Wang Z; Wang Z; Feng W; Li X; Liu SN; Li J; Zhu YQ; Zhang P; Wang W; 40051055
ENCS
7 Spatial Variations of Atmospheric Alkylated Polycyclic Aromatic Hydrocarbons across the Western Pacific to the Southern Ocean: Unexpected Increasing Deposition Zhu FJ; Lu XM; Jia JW; Zhang X; Xing DF; Cai MH; Kallenborn R; Li YF; Muir DCG; Zhang ZF; Zhang X; 40025703
CHEMBIOCHEM
8 In Shift and In Variance: Assessing the Robustness of HAR Deep Learning Models Against Variability Khaked AA; Oishi N; Roggen D; Lago P; 39860799
ENCS
9 Asymmetric autocatalytic reactions and their stationary distribution Gallinger C; Popovic L; 39679357
MATHSTATS
10 Brain tumor detection based on a novel and high-quality prediction of the tumor pixel distributions Sun Y; Wang C; 38493601
ENCS
11 The infimum values of two probability functions for the Gamma distribution Sun P; Hu ZC; Sun W; 38261930
MATHSTATS
12 Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency Al-Bazzaz H; Azam M; Amayri M; Bouguila N; 37837127
ENCS
13 The evolution of plasticity at geographic range edges Usui T; Lerner D; Eckert I; Angert AL; Garroway CJ; Hargreaves A; Lancaster LT; Lessard JP; Riva F; Schmidt C; van der Burg K; Marshall KE; 37183152
BIOLOGY
14 Tide-induced infiltration and resuspension of microplastics in shorelines: Insights from tidal tank experiments Feng Q; Chen Z; An C; Yang X; Wang Z; 37084574
ENCS
15 Identifying climate change refugia for South American biodiversity Sales LP; Pires MM; 36919472
BIOLOGY
16 Human Activity Recognition with an HMM-Based Generative Model Manouchehri N; Bouguila N; 36772428
ENCS
17 Species compositions mediate biomass conservation: the case of lake fish communities Arranz I; Fournier B; Lester NP; Shuter BJ; Peres-Neto PR; 34905222
BIOLOGY
18 Bayesian Learning of Shifted-Scaled Dirichlet Mixture Models and Its Application to Early COVID-19 Detection in Chest X-ray Images Bourouis S; Alharbi A; Bouguila N; 34460578
ENCS
19 Formation of oil-particle aggregates: Impacts of mixing energy and duration Ji W; Boufadel M; Zhao L; Robinson B; King T; An C; Zhang BH; Lee K; 34252767
ENCS
20 Grape seed extract supplementation along with a restricted-calorie diet improves cardiovascular risk factors in obese or overweight adult individuals: A randomized, placebo-controlled trial. Yousefi R, Parandoosh M, Khorsandi H, Hosseinzadeh N, Madani Tonekaboni M, Saidpour A, Babaei H, Ghorbani A 33044768
HKAP
21 The Odonata of Quebec: Specimen data from seven collections. Favret C, Moisan-De Serres J, Larrivée M, Lessard JP 32174757
CONCORDIA
22 Diversity, evolution, and classification of virophages uncovered through global metagenomics. Paez-Espino D, Zhou J, Roux S, Nayfach S, Pavlopoulos GA, Schulz F, McMahon KD, Walsh D, Woyke T, Ivanova NN, Eloe-Fadrosh EA, Tringe SG, Kyrpides NC 31823797
BIOLOGY
23 Aegilops tauschii Genome Sequence: A Framework for Meta-analysis of Wheat QTLs. Xu J, Dai X, Ramasamy RK, Wang L, Zhu T, McGuire PE, Jorgensen CM, Dehghani H, Gulick PJ, Luo MC, Müller HG, Dvorak J 30670607
BIOLOGY

 

Title:Exon junction complexes regulate osteoclast-induced bone resorption by influencing the NFATc1 m6A distribution through the "shield effect"
Authors:Sun BYang JGWang ZWang ZFeng WLi XLiu SNLi JZhu YQZhang PWang W
Link:https://pubmed.ncbi.nlm.nih.gov/40051055/
DOI:10.1002/ctm2.70266
Publication:Clinical and translational medicine
Keywords:exon junction complexesm6A distribution characteristicsosteoclastosteoporosisshield effect
PMID:40051055 Category: Date Added:2025-03-07
Dept Affiliation: ENCS
1 Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine; College of Stomatology, Shanghai Jiao Tong University; National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai, China.
2 Department of Stomatology, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
3 Department of Gynecology, First Hospital of Shanxi Medical University, Taiyuan, China.
4 Concordia Institute for Information Systems Engineering, Concordia University, Montreal, QC, Canada.
5 Department of Endodontics, Central Laboratory of Jinan Stomatological Hospital, Jinan Key Laboratory of Oral Tissue Regeneration, Shandong Provincial Health Commission Key Laboratory of Oral Diseases and Tissue Regeneration, Jinan, Shandong, People's Republic of China.
6 Department of Oral Maxillofacial-Head Neck Oncology, Shanghai Ninth People's Hospital

Description:

Background: The distribution of the m6A methylation modification on the transcriptome is highly regionally selective and is mainly concentrated in abnormally long exons and stop codons. However, in-depth research on the selective mechanism of m6A methylation is still lacking.

Methods: In this research, meRIP sequencing, mRNA sequencing, meRIP, luciferase reporter assays and CRISPR/Cas9 conditional knockout mice were used to elucidate the distribution characteristics of NFATc1 m6A.

Results: METTL14 controls osteoclast-mediated bone resorption by means of the methylation (4249 A) of the NFATc1 gene during osteoclast differentiation. Exon junction complexes (EJCs) selectively protect the m6A methylation sites of the NFATc1 gene. When the methylation sites are located within short exon fragments (50-200 nt), EJCs prevent their hypermethylation and degradation through the "shield effect"; when the methylation sites are located in the 3' UTR region or long exon fragments (greater than 300 nt), the "shield effect" disappears. Downstream, YTHDF2 induced the degradation of hypermethylation NFATc1 transcripts without site restriction.

Conclusions: EJCs act as "shields" to regulate the m6A region selectivity of the NFATc1 gene, thereby determining the characteristics of m6A distribution in the gene. Importantly, EJCs can raise the level of m6A methylation of NFATc1 and degrade its mRNA, thereby inhibiting osteoclast differentiation and preserving bone mass. These results will be helpful for identifying potential molecular targets for osteoporosis treatment.

Key points: METTL14 controls osteoclast-mediated bone resorption by means of the methylation (4249 A) of the NFATc1 gene during osteoclast differentiation. Exon junction complexes (EJCs) protect the remaining methylation sites of the NFATc1 gene (located in the inner exon fragment of 50-200 nt) from hypermethylation and degradation. The "shield effect" disappears when the exon fragment is extended to 300 nt. Downstream, YTHDF2 induced the degradation of hypermethylation NFATc1 transcripts without site restriction.





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