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Mou SI, Sultana T, Chatterjee D, Faruk MO, Hosen MI. Comprehensive characterization of coding and non-coding single nucleotide polymorphisms of the Myoneurin (MYNN) gene using molecular dynamics simulation and docking approaches. PLoS One 2024; 19:e0296361. [PMID: 38165846 PMCID: PMC10760682 DOI: 10.1371/journal.pone.0296361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 12/11/2023] [Indexed: 01/04/2024] Open
Abstract
Genome-wide association studies (GWAS) identified a coding single nucleotide polymorphism, MYNN rs10936599, at chromosome 3q. MYNN gene encodes myoneurin protein, which has been associated with several cancer pathogenesis and disease development processes. However, there needed to be a more detailed characterization of this polymorphism's (and other coding and non-coding polymorphisms) structural, functional, and molecular impact. The current study addressed this gap and analyzed different properties of rs10936599 and non-coding SNPs of MYNN via a thorough computational method. The variant, rs10936599, was predicted functionally deleterious by nine functionality prediction approaches, like SIFT, PolyPhen-2, and REVEL, etc. Following that, structural modifications were estimated through the HOPE server and Mutation3D. Moreover, the mutation was found in a conserved and active residue, according to ConSurf and CPORT. Further, the secondary structures were predicted, followed by tertiary structures, and there was a significant deviation between the native and variant models. Similarly, molecular simulation also showed considerable differences in the dynamic pattern of the wildtype and mutant structures. Molecular docking revealed that the variant binds with better docking scores with ligand NOTCH2. In addition to that, non-coding SNPs located at the MYNN locus were retrieved from the ENSEMBL database. These were found to disrupt the transcription factor binding regulatory regions; nonetheless, only two affect miRNA target sites. Again, eight non-coding variants were detected in the testes with normalized expression, whereas HaploReg v4.1 unveiled annotations for non-coding variants. In summary, in silico comprehensive characterization of coding and non-coding single nucleotide polymorphisms of MYNN gene will assist researchers to work on MYNN gene and establish their association with certain types of cancers.
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Affiliation(s)
- Sadia Islam Mou
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Tamanna Sultana
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Dipankor Chatterjee
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Md. Omar Faruk
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
| | - Md. Ismail Hosen
- Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
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A Study on the Impact of Basketball on the Physical Fitness and Health of Adolescents Based on the Method of Correlation Analysis. JOURNAL OF ENVIRONMENTAL AND PUBLIC HEALTH 2022; 2022:6520518. [PMID: 35795534 PMCID: PMC9252652 DOI: 10.1155/2022/6520518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 06/14/2022] [Indexed: 11/17/2022]
Abstract
Basketball can improve physical fitness, keep healthy, and become the main form of modern sports. However, basketball generally has the problem of unreasonable sports schemes and even reduces physical fitness. Therefore, finding an effective basketball program is an urgent problem to be solved at present. In order to improve the level of public health, this paper proposes a correlation analysis method to study the impact of basketball on teenagers' health. The correlation analysis method is used to analyze the health data of adolescents, combined with the influence of basketball on fitness and the characteristics of basketball itself. Previous studies on basketball neglected comprehensive analysis and lack of correlation analysis of basketball indexes, resulting in unsatisfactory analysis results. The correlation analysis method can adjust the technical method, intensity, and program of basketball in combination with the physical development of teenagers. MATLAB simulation shows that the correlation analysis method can accurately analyze the impact of basketball on teenagers' health, with an accuracy of 95%. Therefore, the correlation analysis method constructed in this paper can provide guidance for basketball and improve the health level of teenagers.
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Rahmouni M, Laville V, Spadoni JL, Jdid R, Eckhart L, Gruber F, Labib T, Coulonges C, Carpentier W, Latreille J, Morizot F, Tschachler E, Ezzedine K, Le Clerc S, Zagury JF. Identification of New Biological Pathways Involved in Skin Aging From the Analysis of French Women Genome-Wide Data. Front Genet 2022; 13:836581. [PMID: 35401686 PMCID: PMC8987498 DOI: 10.3389/fgene.2022.836581] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/01/2022] [Indexed: 11/30/2022] Open
Abstract
Skin aging is an ineluctable process leading to the progressive loss of tissue integrity and is characterized by various outcomes such as wrinkling and sagging. Researchers have identified impacting environmental factors (sun exposure, smoking, etc.) and several molecular mechanisms leading to skin aging. We have previously performed genome-wide association studies (GWAS) in 502 very-well characterized French women, looking for associations with four major outcomes of skin aging, namely, photoaging, solar lentigines, wrinkling, and sagging, and this has led to new insights into the molecular mechanisms of skin aging. Since individual SNP associations in GWAS explain only a small fraction of the genetic impact in complex polygenic phenotypes, we have made the integration of these genotypes into the reference Kegg biological pathways and looked for associations by the gene set enrichment analysis (GSEA) approach. 106 pathways were tested for association with the four outcomes of skin aging. This biological pathway analysis revealed new relevant pathways and genes, some likely specific of skin aging such as the WNT7B and PRKCA genes in the “melanogenesis” pathway and some likely involved in global aging such as the DDB1 gene in the “nucleotide excision repair” pathway, not picked up in the previously published GWAS. Overall, our results suggest that the four outcomes of skin aging possess specific molecular mechanisms such as the “proteasome” and “mTOR signaling pathway” but may also share common molecular mechanisms such as “nucleotide excision repair.”
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Affiliation(s)
- Myriam Rahmouni
- Équipe Génomique, Bioinformatique et Chimie Moléculaire (EA 7528), Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
| | - Vincent Laville
- Équipe Génomique, Bioinformatique et Chimie Moléculaire (EA 7528), Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
| | - Jean-Louis Spadoni
- Équipe Génomique, Bioinformatique et Chimie Moléculaire (EA 7528), Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
| | - Randa Jdid
- Chanel R&T, Department of Skin Knowledge and Women Beauty, Pantin, France
| | - Leopold Eckhart
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Florian Gruber
- Department of Dermatology, Medical University of Vienna, Vienna, Austria.,Christian Doppler Laboratory for Skin Multimodal Analytical Imaging of Aging and Senescence (SKINMAGINE), Medical University of Vienna, Vienna, Austria
| | - Taoufik Labib
- Équipe Génomique, Bioinformatique et Chimie Moléculaire (EA 7528), Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
| | - Cedric Coulonges
- Équipe Génomique, Bioinformatique et Chimie Moléculaire (EA 7528), Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
| | - Wassila Carpentier
- Plate-Forme Post-Génomique P3S, Hôpital Pitié-Salpêtrière, Paris, France
| | - Julie Latreille
- Chanel R&T, Department of Skin Knowledge and Women Beauty, Pantin, France
| | - Frederique Morizot
- Chanel R&T, Department of Skin Knowledge and Women Beauty, Pantin, France
| | - Erwin Tschachler
- Department of Dermatology, Medical University of Vienna, Vienna, Austria
| | - Khaled Ezzedine
- Department of Dermatology, Hôpital Henri Mondor and EA 7379 EPIDERM, Créteil, France
| | - Sigrid Le Clerc
- Équipe Génomique, Bioinformatique et Chimie Moléculaire (EA 7528), Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
| | - Jean-François Zagury
- Équipe Génomique, Bioinformatique et Chimie Moléculaire (EA 7528), Conservatoire National des Arts et Métiers, HESAM Université, Paris, France
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