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Scalia P, Williams SJ, Fujita-Yamaguchi Y. Human IGF2 Gene Epigenetic and Transcriptional Regulation: At the Core of Developmental Growth and Tumorigenic Behavior. Biomedicines 2023; 11:1655. [PMID: 37371750 DOI: 10.3390/biomedicines11061655] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 06/02/2023] [Accepted: 06/06/2023] [Indexed: 06/29/2023] Open
Abstract
Regulation of the human IGF2 gene displays multiple layers of control, which secures a genetically and epigenetically predetermined gene expression pattern throughout embryonal growth and postnatal life. These predominantly nuclear regulatory mechanisms converge on the function of the IGF2-H19 gene cluster on Chromosome 11 and ultimately affect IGF2 gene expression. Deregulation of such control checkpoints leads to the enhancement of IGF2 gene transcription and/or transcript stabilization, ultimately leading to IGF-II peptide overproduction. This type of anomaly is responsible for the effects observed in terms of both abnormal fetal growth and increased cell proliferation, typically observed in pediatric overgrowth syndromes and cancer. We performed a review of relevant experimental work on the mechanisms affecting the human IGF2 gene at the epigenetic, transcriptional and transcript regulatory levels. The result of our work, indeed, provides a wider and diversified scenario for IGF2 gene activation than previously envisioned by shedding new light on its extended regulation. Overall, we focused on the functional integration between the epigenetic and genetic machinery driving its overexpression in overgrowth syndromes and malignancy, independently of the underlying presence of loss of imprinting (LOI). The molecular landscape provided at last strengthens the role of IGF2 in cancer initiation, progression and malignant phenotype maintenance. Finally, this review suggests potential actionable targets for IGF2 gene- and regulatory protein target-degradation therapies.
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Key Words
- (IGF2/H19) IG-DMR, intergenic differentially methylated region
- BWS, Beckwith–Wiedemann syndrome
- CCD, centrally conserved domain
- CNV, copy number variation
- CTCF, CCCTC binding factor
- DMD, differentially methylated domain
- DMR, differentially methylated region
- GOM, gain of methylation
- ICR1, imprinting control region 1
- IGF-II, insulin-like growth factor-2 peptide
- IGF2, insulin-like growth factor 2 gene
- LOI, loss of imprinting
- LOM, loss of methylation
- MOI, maintenance of imprinting
- SRS, Silver Russel Syndrome
- TF: transcription factor
- UPD, uniparental disomy
- WT1, Wilms Tumor protein 1
- mRNA transcript
- p0–p4: IGF2 promoters 0–4
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Affiliation(s)
- Pierluigi Scalia
- ISOPROG-Somatolink EPFP Research Network, Philadelphia, PA 19102, USA, and 93100 Caltanissetta, Italy
- Sbarro Cancer Institute for Cancer Research and Molecular Medicine, CST, Biology Department, Temple University, Philadelphia, PA 19122, USA
| | - Stephen J Williams
- ISOPROG-Somatolink EPFP Research Network, Philadelphia, PA 19102, USA, and 93100 Caltanissetta, Italy
- Sbarro Cancer Institute for Cancer Research and Molecular Medicine, CST, Biology Department, Temple University, Philadelphia, PA 19122, USA
| | - Yoko Fujita-Yamaguchi
- Arthur Riggs Diabetes & Metabolism Research Institute, Beckman Research Institute of City of Hope, Duarte, CA 91010, USA
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Muhammad T, Li M, Wang J, Huang T, Zhao S, Zhao H, Liu H, Chen ZJ. Roles of insulin-like growth factor II in regulating female reproductive physiology. SCIENCE CHINA-LIFE SCIENCES 2020; 63:849-865. [PMID: 32291558 DOI: 10.1007/s11427-019-1646-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Accepted: 03/12/2020] [Indexed: 12/20/2022]
Abstract
The number of growth factors involved in female fertility has been extensively studied, but reluctance to add essential growth factors in culture media has limited progress in optimizing embryonic growth and implantation outcomes, a situation that has ultimately led to reduced pregnancy outcomes. Insulin-like growth factor II (IGF-II) is the most intricately regulated of all known reproduction-related growth factors characterized to date, and is perhaps the predominant growth factor in human ovarian follicles. This review aims to concisely summarize what is known about the role of IGF-II in follicular development, oocyte maturation, embryonic development, implantation success, placentation, fetal growth, and in reducing placental cell apoptosis, as well as present strategies that use growth factors in culture systems to improve the developmental potential of oocytes and embryos in different species. Synthesizing the present knowledge about the physiological roles of IGF-II in follicular development, oocyte maturation, and early embryonic development should, on the one hand, deepen our overall understanding of the potential beneficial effects of growth factors in female reproduction and on the other hand support development (optimization) of improved outcomes for assisted reproductive technologies.
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Affiliation(s)
- Tahir Muhammad
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China.,Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, China
| | - Mengjing Li
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China.,Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, China
| | - Jianfeng Wang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China.,Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, China
| | - Tao Huang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China.,Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, China
| | - Shigang Zhao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China.,Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, China
| | - Han Zhao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China.,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China.,Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, China
| | - Hongbin Liu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. .,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China. .,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China. .,Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, China.
| | - Zi-Jiang Chen
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. .,National Research Center for Assisted Reproductive Technology and Reproductive Genetics, Shandong University, Jinan, 250012, China. .,Key laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Jinan, 250012, China. .,Shandong Provincial Clinical Medicine Research Center for Reproductive Health, Shandong University, Jinan, 250012, China. .,Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Shanghai, 200000, China. .,Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200000, China.
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Baral K, Rotwein P. The insulin-like growth factor 2 gene in mammals: Organizational complexity within a conserved locus. PLoS One 2019; 14:e0219155. [PMID: 31251794 PMCID: PMC6599137 DOI: 10.1371/journal.pone.0219155] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 06/17/2019] [Indexed: 01/10/2023] Open
Abstract
The secreted protein, insulin-like growth factor 2 (IGF2), plays a central role in fetal and prenatal growth and development, and is regulated at the genetic level by parental imprinting, being expressed predominantly from the paternally derived chromosome in mice and humans. Here, IGF2/Igf2 and its locus has been examined in 19 mammals from 13 orders spanning ~166 million years of evolutionary development. By using human or mouse DNA segments as queries in genome analyses, and by assessing gene expression using RNA-sequencing libraries, more complexity was identified within IGF2/Igf2 than was annotated previously. Multiple potential 5’ non-coding exons were mapped in most mammals and are presumably linked to distinct IGF2/Igf2 promoters, as shown for several species by interrogating RNA-sequencing libraries. DNA similarity was highest in IGF2/Igf2 coding exons; yet, even though the mature IGF2 protein was conserved, versions of 67 or 70 residues are produced secondary to species-specific maintenance of alternative RNA splicing at a variable intron-exon junction. Adjacent H19 was more divergent than IGF2/Igf2, as expected in a gene for a noncoding RNA, and was identified in only 10/19 species. These results show that common features, including those defining IGF2/Igf2 coding and several non-coding exons, were likely present at the onset of the mammalian radiation, but that others, such as a putative imprinting control region 5’ to H19 and potential enhancer elements 3’ to H19, diversified with speciation. This study also demonstrates that careful analysis of genomic and gene expression repositories can provide new insights into gene structure and regulation.
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Affiliation(s)
- Kabita Baral
- Graduate School, College of Science, University of Texas at El Paso, El Paso, Texas
| | - Peter Rotwein
- Department of Molecular and Translational Medicine, Paul L. Foster School of Medicine, Texas Tech Health University Health Sciences Center, El Paso, Texas
- * E-mail:
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Rotwein P. The complex genetics of human insulin-like growth factor 2 are not reflected in public databases. J Biol Chem 2018; 293:4324-4333. [PMID: 29414792 DOI: 10.1074/jbc.ra117.001573] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2017] [Revised: 01/15/2018] [Indexed: 01/02/2023] Open
Abstract
Recent advances in genetics present unique opportunities for enhancing knowledge about human physiology and disease susceptibility. Understanding this information at the individual gene level is challenging and requires extracting, collating, and interpreting data from a variety of public gene repositories. Here, I illustrate this challenge by analyzing the gene for human insulin-like growth factor 2 (IGF2) through the lens of several databases. IGF2, a 67-amino acid secreted peptide, is essential for normal prenatal growth and is involved in other physiological and pathophysiological processes in humans. Surprisingly, none of the genetic databases accurately described or completely delineated human IGF2 gene structure or transcript expression, even though all relevant information could be found in the published literature. Although IGF2 shares multiple features with the mouse Igf2 gene, it has several unique properties, including transcription from five promoters. Both genes undergo parental imprinting, with IGF2/Igf2 being expressed primarily from the paternal chromosome and the adjacent H19 gene from the maternal chromosome. Unlike mouse Igf2, whose expression declines after birth, human IGF2 remains active throughout life. This characteristic has been attributed to a unique human gene promoter that escapes imprinting, but as shown here, it involves several different promoters with distinct tissue-specific expression patterns. Because new testable hypotheses could lead to critical insights into IGF2 actions in human physiology and disease, it is incumbent that our fundamental understanding is accurate. Similar challenges affecting knowledge of other human genes should promote attempts to critically evaluate, interpret, and correct human genetic data in publicly available databases.
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Affiliation(s)
- Peter Rotwein
- From the Department of Biomedical Sciences, Paul L. Foster School of Medicine, Texas Tech Health University Health Sciences Center, El Paso, Texas 79905
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Armengol S, Arretxe E, Rodríguez L, Ochoa B, Chico Y, Martínez MJ. NF-κB, Sp1 and NF-Y as transcriptional regulators of human SND1 gene. Biochimie 2012; 95:735-42. [PMID: 23160072 DOI: 10.1016/j.biochi.2012.10.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2012] [Accepted: 10/30/2012] [Indexed: 11/19/2022]
Abstract
Staphylococcal nuclease domain-containing protein 1 (SND1), also called Tudor-SN, is required for many biological events ranging from gene expression to cell growth regulation. Promoter regulation of SND1 gene and its molecular mechanism have remained elusive to date. In this work, we have identified SND1 as a new target gene for NF-κB, Sp1 and NF-Y transcription factors. We isolated and characterized a 3808 bp sequence corresponding to the human SND1 gene promoter (GenBank ID: EF690304). It lacks the typical TATA-box element and contains a CpG island with several Sp1 binding sites at the 3' end, and a highly conserved 300 bp segment with two inverted CCAAT boxes that bind NF-Y, in addition to NF-κB sites and other cis-regulatory elements. Electrophoretic mobility shift assays and chromatin immunoprecipitation experiments confirmed the ability of SND1 promoter to bind NF-κB, Sp1 and NF-Y in vitro and in vivo. Deletion analysis of the 5'-flanking region by luciferase reporter assays, showed the minimum promoter activity 112 base-pair upstream from the transcription start site, and an enhancer region between -112 and -274 bp responsible for the maximal transcriptional activity of the promoter. Site-directed mutagenesis of the CCAAT and GC boxes and the NF-κB elements within the proximal region substantially reduced SND1 promoter activity. Proinflammatory cytokine TNF-α caused an increase of SND1 promoter activity that is mediated, at least in part, via NF-κB as mutation in the NF-κB sites impaired the promoter stimulation. We provide for the first time the characterization of the human SND1 promoter activity and establish a transcriptional network associated to the key transcription factors NF-κB, Sp1 and NF-Y that operates in the control of the SND1 gene expression.
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Affiliation(s)
- Sandra Armengol
- Department of Physiology, Faculty of Medicine and Dentistry, University of the Basque Country UPV/EHU, Barrio Sarriena s/n, 48940 Leioa, Vizcaya, Spain
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Yu Y, Ping J, Chen H, Jiao L, Zheng S, Han ZG, Hao P, Huang J. A comparative analysis of liver transcriptome suggests divergent liver function among human, mouse and rat. Genomics 2010; 96:281-9. [PMID: 20800674 DOI: 10.1016/j.ygeno.2010.08.003] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2009] [Revised: 07/04/2010] [Accepted: 08/13/2010] [Indexed: 01/13/2023]
Abstract
The human liver plays a vital role in meeting the body's metabolic needs and maintaining homeostasis. To address the molecular mechanisms of liver function, we integrated multiple gene expression datasets from microarray, MPSS, SAGE and EST platforms to generate a transcriptome atlas of the normal human liver. Our results show that 17396 genes are expressed in the human liver. 238 genes were identified as liver enrichment genes, involved in the functions of immune response and metabolic processes, from the MPSS and EST datasets. A comparative analysis of liver transcriptomes was performed in humans, mice and rats with microarray datasets shows that the expression profile of homologous genes remains significantly different between mouse/rat and human, suggesting a functional variance and regulation bias of genes expressed in the livers. The integrated liver transcriptome data should provide a valuable resource for the in-depth understanding of human liver biology and liver disease.
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Affiliation(s)
- Yao Yu
- Bioinformatics Center, Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China
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