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Karlsson M, Sjöstedt E, Oksvold P, Sivertsson Å, Huang J, Álvez MB, Arif M, Li X, Lin L, Yu J, Ma T, Xu F, Han P, Jiang H, Mardinoglu A, Zhang C, von Feilitzen K, Xu X, Wang J, Yang H, Bolund L, Zhong W, Fagerberg L, Lindskog C, Pontén F, Mulder J, Luo Y, Uhlen M. Genome-wide annotation of protein-coding genes in pig. BMC Biol 2022; 20:25. [PMID: 35073880 PMCID: PMC8788080 DOI: 10.1186/s12915-022-01229-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 01/07/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND There is a need for functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. Here, a new annotation strategy is introduced based on dimensionality reduction and density-based clustering of whole-body co-expression patterns. This strategy has been used to explore the gene expression landscape in pig, and we present a whole-body map of all protein-coding genes in all major pig tissues and organs. RESULTS An open-access pig expression map ( www.rnaatlas.org ) is presented based on the expression of 350 samples across 98 well-defined pig tissues divided into 44 tissue groups. A new UMAP-based classification scheme is introduced, in which all protein-coding genes are stratified into tissue expression clusters based on body-wide expression profiles. The distribution and tissue specificity of all 22,342 protein-coding pig genes are presented. CONCLUSIONS Here, we present a new genome-wide annotation strategy based on dimensionality reduction and density-based clustering. A genome-wide resource of the transcriptome map across all major tissues and organs in pig is presented, and the data is available as an open-access resource ( www.rnaatlas.org ), including a comparison to the expression of human orthologs.
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Affiliation(s)
- Max Karlsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Evelina Sjöstedt
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Per Oksvold
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Åsa Sivertsson
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Jinrong Huang
- BGI-Shenzhen, Shenzhen, China
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - María Bueno Álvez
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Muhammad Arif
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Xiangyu Li
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Lin Lin
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Jiaying Yu
- BGI-Shenzhen, Shenzhen, China
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China
| | - Tao Ma
- MGI, BGI-Shenzhen, Shenzhen, China
| | - Fengping Xu
- BGI-Shenzhen, Shenzhen, China
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China
| | - Peng Han
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China
| | | | - Adil Mardinoglu
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Cheng Zhang
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Kalle von Feilitzen
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Xun Xu
- BGI-Shenzhen, Shenzhen, China
| | | | | | - Lars Bolund
- BGI-Shenzhen, Shenzhen, China
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Wen Zhong
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Linn Fagerberg
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden
| | - Cecilia Lindskog
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Fredrik Pontén
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Jan Mulder
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Yonglun Luo
- BGI-Shenzhen, Shenzhen, China
- Lars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Mathias Uhlen
- Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
- Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
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De Luca MN, Colone M, Gambioli R, Stringaro A, Unfer V. Oxidative Stress and Male Fertility: Role of Antioxidants and Inositols. Antioxidants (Basel) 2021; 10:antiox10081283. [PMID: 34439531 PMCID: PMC8389261 DOI: 10.3390/antiox10081283] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/06/2021] [Accepted: 08/09/2021] [Indexed: 12/15/2022] Open
Abstract
Infertility is defined as a couple’s inability to conceive after at least one year of regular unprotected intercourse. This condition has become a global health problem affecting approximately 187 million couples worldwide and about half of the cases are attributable to male factors. Oxidative stress is a common reason for several conditions associated with male infertility. High levels of reactive oxygen species (ROS) impair sperm quality by decreasing motility and increasing the oxidation of DNA, of protein and of lipids. Multi-antioxidant supplementation is considered effective for male fertility parameters due to the synergistic effects of antioxidants. Most of them act by decreasing ROS concentration, thus improving sperm quality. In addition, other natural molecules, myo-inositol (MI) and d-chiro–inositol (DCI), ameliorate sperm quality. In sperm cells, MI is involved in many transduction mechanisms that regulate cytoplasmic calcium levels, capacitation and mitochondrial function. On the other hand, DCI is involved in the downregulation of steroidogenic enzyme aromatase, which produces testosterone. In this review, we analyze the processes involving oxidative stress in male fertility and the mechanisms of action of different molecules.
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Affiliation(s)
- Maria Nunzia De Luca
- The Experts Group on Inositol in Basic and Clinical Research (EGOI), 00161 Rome, Italy; (M.N.D.L.); (R.G.); (V.U.)
- System Biology Group Lab, 00161 Rome, Italy
| | - Marisa Colone
- National Center for Drug Research and Evaluation, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy;
| | - Riccardo Gambioli
- The Experts Group on Inositol in Basic and Clinical Research (EGOI), 00161 Rome, Italy; (M.N.D.L.); (R.G.); (V.U.)
- System Biology Group Lab, 00161 Rome, Italy
| | - Annarita Stringaro
- National Center for Drug Research and Evaluation, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy;
- Correspondence:
| | - Vittorio Unfer
- The Experts Group on Inositol in Basic and Clinical Research (EGOI), 00161 Rome, Italy; (M.N.D.L.); (R.G.); (V.U.)
- System Biology Group Lab, 00161 Rome, Italy
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Liu C, Ran X, Yu C, Xu Q, Niu X, Zhao P, Wang J. Whole-genome analysis of structural variations between Xiang pigs with larger litter sizes and those with smaller litter sizes. Genomics 2018; 111:310-319. [PMID: 29481841 DOI: 10.1016/j.ygeno.2018.02.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2017] [Revised: 02/08/2018] [Accepted: 02/11/2018] [Indexed: 11/30/2022]
Abstract
To gain a better knowledge of structural variations (SVs) in Xiang pig, we used next-generation sequencing to analyze the Xiang pigs with larger (XL) or smaller litter sizes (XS). Our analysis yielded 28,040 putative SVs in the Xiang pig. These SVs distributed throughout all of chromosomes. Some functional regions including exons and untranslated regions were less varied than introns and intergenic regions. We detected 4637 and 4119 specific SVs, which contained 1697 and 1582 genes in XL and XS group, respectively. These genes were mainly enriched in the well-known pathways involved in development and reproduction processes. Population validation was carried out on 50 SVs candidates using PCR method in 144 Xiang pig crowds. All of 50 SVs were confirmed by PCR method and 14 SVs were associated with the litter size of Xiang pigs. These results may be helpful for the elucidation of growth and reproduction regulation in Xiang pig.
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Affiliation(s)
- Chang Liu
- Institute of Agro-Bioengineering, College of Animal Science, Guizhou University, Guiyang 550025, China
| | - Xueqin Ran
- Institute of Agro-Bioengineering, College of Animal Science, Guizhou University, Guiyang 550025, China.
| | - Changyan Yu
- Institute of Agro-Bioengineering, College of Animal Science, Guizhou University, Guiyang 550025, China
| | - Qian Xu
- Institute of Agro-Bioengineering, College of Animal Science, Guizhou University, Guiyang 550025, China
| | - Xi Niu
- Institute of Agro-Bioengineering, College of Animal Science, Guizhou University, Guiyang 550025, China
| | - Pengju Zhao
- College of Animal Science and Technology, China Agricultural University, Beijing 100083, China
| | - Jiafu Wang
- Institute of Agro-Bioengineering, College of Animal Science, Guizhou University, Guiyang 550025, China; Tongren University, Tongren 554300, China.
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