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Zhang W, Zheng X, Gong Y, Jiang T, Qiu J, Wu X, Lu F, Wang Z, Hong Z. VX-11e protects articular cartilage and subchondral bone in osteoarthritis by inhibiting the RIP1/RIP3/MLKL and MAPK signaling pathways. Bioorg Chem 2022; 120:105632. [DOI: 10.1016/j.bioorg.2022.105632] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 01/16/2022] [Indexed: 12/18/2022]
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2
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Yu F, Xu C, Deng HW, Shen H. A novel computational strategy for DNA methylation imputation using mixture regression model (MRM). BMC Bioinformatics 2020; 21:552. [PMID: 33261550 PMCID: PMC7708217 DOI: 10.1186/s12859-020-03865-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 11/09/2020] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND DNA methylation is an important heritable epigenetic mark that plays a crucial role in transcriptional regulation and the pathogenesis of various human disorders. The commonly used DNA methylation measurement approaches, e.g., Illumina Infinium HumanMethylation-27 and -450 BeadChip arrays (27 K and 450 K arrays) and reduced representation bisulfite sequencing (RRBS), only cover a small proportion of the total CpG sites in the human genome, which considerably limited the scope of the DNA methylation analysis in those studies. RESULTS We proposed a new computational strategy to impute the methylation value at the unmeasured CpG sites using the mixture of regression model (MRM) of radial basis functions, integrating information of neighboring CpGs and the similarities in local methylation patterns across subjects and across multiple genomic regions. Our method achieved a better imputation accuracy over a set of competing methods on both simulated and empirical data, particularly when the missing rate is high. By applying MRM to an RRBS dataset from subjects with low versus high bone mineral density (BMD), we recovered methylation values of ~ 300 K CpGs in the promoter regions of chromosome 17 and identified some novel differentially methylated CpGs that are significantly associated with BMD. CONCLUSIONS Our method is well applicable to the numerous methylation studies. By expanding the coverage of the methylation dataset to unmeasured sites, it can significantly enhance the discovery of novel differential methylation signals and thus reveal the mechanisms underlying various human disorders/traits.
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Affiliation(s)
- Fangtang Yu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Chao Xu
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Hong-Wen Deng
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA
| | - Hui Shen
- Center for Bioinformatics and Genomics, Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, 70112, USA.
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Li C, Wu Z, Yuan G, Fang Z, Lin X, Pu R, Kang Y, Li L, Shao S, Ding J, Zhao J, Liu Q, Qin A. Vx-11e protects against titanium-particle-induced osteolysis and osteoclastogenesis by supressing ERK activity. Biochem Biophys Res Commun 2019; 514:1244-1250. [PMID: 31109651 DOI: 10.1016/j.bbrc.2019.05.054] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2019] [Accepted: 05/06/2019] [Indexed: 02/05/2023]
Abstract
Wear particle-induced osteolysis around the prosthesis is the most common long-term complication after total joint replacement surgery which often leads to aseptic loosening of the prosthesis. Osteoclasts play key roles in the osteolytic process. Currently there is a lack of clinically effective measures to prevent or treat peri-prosthetic osteolysis and thus identification of new agents that can inhibit the enhanced osteoclastic bone resorption is warranted. Through this study, we discovered that the specific and potent ERK1/2 inhibitor, Vx-11e, can protect against calvarial osteolysis caused by titanium (Ti) particles in vivo. Low doses of Vx-11e mildly reduced osteoclast resorption whilst no calvarial osteolysis was observed with high dose Vx-11e treatment. Histological examination showed fewer osteoclasts and reduced bone erosion in the Vx-11e treated groups. In vitro cellular analyses showed that Vx-11e inhibited osteoclast formation from BMM precursors in response to RANKL, as well as bone resorption by mature osteoclasts. Mechanistically, Vx-11e impaired RANKL-induced ERK1/2 signaling by inhibiting its kinase activity thereby blocking the phosphorylation of downstream substrates. Moreover, Vx-11e significantly reduced the expression of RANKL-mediated genes such as ACP5/TRAcP, CTR, MMP-9, CTSK. Collectively, our data provides evidence for the potential therapeutic use of Vx-11e for the treatment of osteolysis diseases caused by extremely actived osteoclastogenesis.
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Affiliation(s)
- Chen Li
- Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Zuoxing Wu
- Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Guixin Yuan
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, 515041, China
| | - Zhanfei Fang
- Department of Orthopedics, The Second Affiliated Hospital, Shantou University Medical College, Shantou, Guangdong, 515041, China
| | - Xixi Lin
- Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Ruoyu Pu
- Department of Obstetrics and Gynaecology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Yanbin Kang
- Research Centre for Regenerative Medicine, Department of Trauma Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi, 530021, China
| | - Li Li
- Pharmaceutic College, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Siyuan Shao
- Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Jiaxin Ding
- Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China
| | - Jinmin Zhao
- Research Centre for Regenerative Medicine, Department of Trauma Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi, 530021, China
| | - Qian Liu
- Research Centre for Regenerative Medicine, Department of Trauma Orthopedic and Hand Surgery, The First Affiliated Hospital of Guangxi Medical University, Guangxi, 530021, China.
| | - An Qin
- Guangxi Collaborative Innovation Center for Biomedicine, Guangxi Key Laboratory of Regenerative Medicine, Guangxi Medical University, Nanning, Guangxi, 530021, China; Department of Orthopaedics, Shanghai Key Laboratory of Orthopaedic Implant, Shanghai Ninth People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200011, China.
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Wang JTH. Course-based undergraduate research experiences in molecular biosciences-patterns, trends, and faculty support. FEMS Microbiol Lett 2018; 364:4033031. [PMID: 28859321 DOI: 10.1093/femsle/fnx157] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2017] [Accepted: 07/21/2017] [Indexed: 12/20/2022] Open
Abstract
Inquiry-driven learning, research internships and course-based undergraduate research experiences all represent mechanisms through which educators can engage undergraduate students in scientific research. In life sciences education, the benefits of undergraduate research have been thoroughly evaluated, but limitations in infrastructure and training can prevent widespread uptake of these practices. It is not clear how faculty members can integrate complex laboratory techniques and equipment into their unique context, while finding the time and resources to implement undergraduate research according to best practice guidelines. This review will go through the trends and patterns in inquiry-based undergraduate life science projects with particular emphasis on molecular biosciences-the research-aligned disciplines of biochemistry, molecular cell biology, microbiology, and genomics and bioinformatics. This will provide instructors with an overview of the model organisms, laboratory techniques and research questions that are adaptable for semester-long projects, and serve as starting guidelines for course-based undergraduate research.
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Affiliation(s)
- Jack T H Wang
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD 4072, Australia
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Makarevitch I, Martinez-Vaz B. Killing two birds with one stone: Model plant systems as a tool to teach the fundamental concepts of gene expression while analyzing biological data. BIOCHIMICA ET BIOPHYSICA ACTA-GENE REGULATORY MECHANISMS 2016; 1860:166-173. [PMID: 27155065 DOI: 10.1016/j.bbagrm.2016.04.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/12/2016] [Revised: 03/23/2016] [Accepted: 04/29/2016] [Indexed: 11/25/2022]
Abstract
Plants are ideal systems to teach core biology concepts due to their unique physiological and developmental features. Advances in DNA sequencing technology and genomics have allowed scientists to generate genome sequences and transcriptomics data for numerous model plant species. This information is publicly available and presents a valuable tool to introduce undergraduate students to the fundamental concepts of gene expression in the context of modern quantitative biology and bioinformatics. Modern biology classrooms must provide authentic research experiences to allow developing core competencies such as scientific inquiry, critical interpretation of experimental results, and quantitative analyses of large dataset using computational approaches. Recent educational research has shown that undergraduate students struggle when connecting gene expression concepts to classic genetics, phenotypic analyses, and overall flow of biological information in living organisms, suggesting that novel approaches are necessary to enhance learning of gene expression and regulation. This review describes different strategies and resources available to instructors willing to incorporate authentic research experiences, genomic tools, and bioinformatics analyses when teaching transcriptional regulation and gene expression in undergraduate courses. A variety of laboratory exercises and pedagogy materials developed to teach gene expression using plants are discussed. This article is part of a Special Issue entitled: Plant Gene Regulatory Mechanisms and Networks, edited by Dr. Erich Grotewold and Dr. Nathan Springer.
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Affiliation(s)
- Irina Makarevitch
- Department of Biology, Hamline University, Saint Paul, MN 55104, United States.
| | - Betsy Martinez-Vaz
- Department of Biology, Hamline University, Saint Paul, MN 55104, United States
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