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Huang BX, Jia ZC, Yang X, Cheng CL, Liu XR, Zhang J, Chen MX, Yang JF, Chen YS. Genome-wide comparison and in silico analysis of splicing factor SYF2/NTC31/p29 in eukaryotes: Special focus on vertebrates. Front Genet 2022; 13:873869. [PMID: 36118875 PMCID: PMC9479762 DOI: 10.3389/fgene.2022.873869] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 07/18/2022] [Indexed: 11/20/2022] Open
Abstract
The gene SYF2—an RNA splicing factor—can interact with Cyclin D-type binding protein 1 (GICP) in many biological processes, including splicing regulation, cell cycle regulation, and DNA damage repair. In our previous study we performed genome-wide identification and functional analysis of SYF2 in plant species. The phylogenetic relationships and expression profiles of SYF2 have not been systematically studied in animals, however. To this end, the gene structure, genes, and protein conserved motifs of 102 SYF2 homologous genes from 91 different animal species were systematically analyzed, along with conserved splicing sites in 45 representative vertebrate species. A differential comparative analysis of expression patterns in humans and mice was made. Molecular bioinformatics analysis of SYF2 showed the gene was conserved and functional in different animal species. In addition, expression pattern analysis found that SYF2 was highly expressed in hematopoietic stem cells, T cells, and lymphoid progenitor cells; in ovary, lung, and spleen; and in other cells and organs. This suggests that changes in SYF2 expression may be associated with disease development in these cells, tissues, or organs. In conclusion, our study analyzes the SYF2 disease resistance genes of different animal species through bioinformatics, reveals the relationship between the SYF2 genotype and the occurrence of certain diseases, and provides a theoretical basis for follow-up study of the relationship between the SYF2 gene and animal diseases.
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Affiliation(s)
- Bao-Xing Huang
- Clinical Laboratory, Shenzhen Children’s Hospital, Shenzhen, China
| | - Zi-Chang Jia
- Co-Innovation Center for Sustainable Forestry in Southern China and Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
- State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Taian, China
| | - Xue Yang
- State Key Laboratory of Crop Biology, College of Life Science, Shandong Agricultural University, Taian, China
| | - Chao-Lin Cheng
- Department of Biology, Hong Kong Baptist University, State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Xiao-Rong Liu
- Clinical Laboratory, Shenzhen Children’s Hospital, Shenzhen, China
| | - Jianhua Zhang
- Department of Biology, Hong Kong Baptist University, State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Mo-Xian Chen
- Co-Innovation Center for Sustainable Forestry in Southern China and Key Laboratory of National Forestry and Grassland Administration on Subtropical Forest Biodiversity Conservation, College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - Jing-Fang Yang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
- *Correspondence: Jing-Fang Yang, ; Yun-Sheng Chen,
| | - Yun-Sheng Chen
- Clinical Laboratory, Shenzhen Children’s Hospital, Shenzhen, China
- *Correspondence: Jing-Fang Yang, ; Yun-Sheng Chen,
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Single-Cell RNA-Seq Analysis of Cells from Degenerating and Non-Degenerating Intervertebral Discs from the Same Individual Reveals New Biomarkers for Intervertebral Disc Degeneration. Int J Mol Sci 2022; 23:ijms23073993. [PMID: 35409356 PMCID: PMC8999935 DOI: 10.3390/ijms23073993] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 03/31/2022] [Accepted: 04/01/2022] [Indexed: 02/07/2023] Open
Abstract
In this study, we used single-cell transcriptomic analysis to identify new specific biomarkers for nucleus pulposus (NP) and inner annulus fibrosis (iAF) cells, and to define cell populations within non-degenerating (nD) and degenerating (D) human intervertebral discs (IVD) of the same individual. Cluster analysis based on differential gene expression delineated 14 cell clusters. Gene expression profiles at single-cell resolution revealed the potential functional differences linked to degeneration, and among NP and iAF subpopulations. GO and KEGG analyses discovered molecular functions, biological processes, and transcription factors linked to cell type and degeneration state. We propose two lists of biomarkers, one as specific cell type, including C2orf40, MGP, MSMP, CD44, EIF1, LGALS1, RGCC, EPYC, HILPDA, ACAN, MT1F, CHI3L1, ID1, ID3 and TMED2. The second list proposes predictive IVD degeneration genes, including MT1G, SPP1, HMGA1, FN1, FBXO2, SPARC, VIM, CTGF, MGST1, TAF1D, CAPS, SPTSSB, S100A1, CHI3L2, PLA2G2A, TNRSF11B, FGFBP2, MGP, SLPI, DCN, MT-ND2, MTCYB, ADIRF, FRZB, CLEC3A, UPP1, S100A2, PRG4, COL2A1, SOD2 and MT2A. Protein and mRNA expression of MGST1, vimentin, SOD2 and SYF2 (p29) genes validated our scRNA-seq findings. Our data provide new insights into disc cells phenotypes and biomarkers of IVD degeneration that could improve diagnostic and therapeutic options.
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Hare A, Zeng M, Rehemutula A, Su SK, Wang HF. Hsa-circ_0000064 accelerates the malignant progression of gastric cancer via sponging microRNA-621. Kaohsiung J Med Sci 2021; 37:841-850. [PMID: 34245111 DOI: 10.1002/kjm2.12419] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 06/02/2021] [Accepted: 06/07/2021] [Indexed: 12/25/2022] Open
Abstract
Gastric cancer (GC) is one of the most common digestive system tumors in the world. Many circular RNAs (circRNAs) are involved in the progression of GC. The purpose of this study was to delve into the expression characteristics and biological functions of circ_0000064 in GC, and further study its mechanisms. Quantitative real-time polymerase chain reaction (qRT-PCR) was performed to detect circ_0000064 expression in 61 GC tissues and cell lines. Circ_0000064 knockdown was successfully modeled with siRNA. The effects of circ_0000064 on the biological functions of GC cells were analyzed by CCK-8, BrdU, and Transwell assays. Bioinformatics and dual-luciferase reporter gene assay were adopted to explore the relations between circ_0000064 and microRNA-621 (miR-621). Western blot was used to examine the regulatory function of circ_0000064 and miR-621 on SYF2 pre-mRNA splicing factor 2. Cric_0000064 expression was elevated in GC tissues and cell lines. Knocking down cric_0000064 could inhibit the viability, migration, and invasion of GC cells. Dual-luciferase reporter gene assay showed that miR-621 could bind circ_0000064 and SYF2 3'UTR; in addition, miR-621 overexpression or SYF2 knockdown could partially weaken the cancer-promoting effect of circ_0000064 on GC cells. Circ_0000064 expression was negatively correlated with miR-621 expression in GC tissues while positively with SYF2 expression. Circ_0000064 can participate in the GC progression via modulating miR-621/SYF2 axis. This implies that circ_0000064 may be a new diagnosed biomarker or a new therapeutic target of GC.
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Affiliation(s)
- Ayiguli Hare
- Department of Chest and Abdominal Radiotherapy, Affiliated Tumor Hospital of Xinjiang Medical University, Xinjiang, Urumqi, China
| | - Min Zeng
- Department of Chest and Abdominal Radiotherapy, Affiliated Tumor Hospital of Xinjiang Medical University, Xinjiang, Urumqi, China
| | - Aizimaiti Rehemutula
- Department of Gastrointestinal Surgery, Affiliated Tumor Hospital of Xinjiang Medical University, Xinjiang, Urumqi, China
| | - Shi-Kun Su
- Department of Chest and Abdominal Radiotherapy, Affiliated Tumor Hospital of Xinjiang Medical University, Xinjiang, Urumqi, China
| | - Hai-Feng Wang
- Department of Chest and Abdominal Radiotherapy, Affiliated Tumor Hospital of Xinjiang Medical University, Xinjiang, Urumqi, China
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Ithal D, Sukumaran SK, Bhattacharjee D, Vemula A, Nadella R, Mahadevan J, Sud R, Viswanath B, Purushottam M, Jain S. Exome hits demystified: The next frontier. Asian J Psychiatr 2021; 59:102640. [PMID: 33892377 DOI: 10.1016/j.ajp.2021.102640] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 03/26/2021] [Indexed: 12/13/2022]
Abstract
Severe mental illnesses such as schizophrenia and bipolar disorder have complex inheritance patterns, involving both common and rare variants. Whole exome sequencing is a promising approach to find out the rare genetic variants. We had previously reported several rare variants in multiplex families with severe mental illnesses. The current article tries to summarise the biological processes and pattern of expression of genes harbouring the aforementioned variants, linking them to known clinical manifestations through a methodical narrative review. Of the 28 genes considered for this review from 7 families with multiple affected individuals, 6 genes are implicated in various neuropsychiatric manifestations including some variations in the brain morphology assessed by magnetic resonance imaging. Another 15 genes, though associated with neuropsychiatric manifestations, did not have established brain morphological changes whereas the remaining 7 genes did not have any previously recorded neuropsychiatric manifestations at all. Wnt/b-catenin signaling pathway was associated with 6 of these genes and PI3K/AKT, calcium signaling, ERK, RhoA and notch signaling pathways had at least 2 gene associations. We present a comprehensive review of biological and clinical knowledge about the genes previously reported in multiplex families with severe mental illness. A 'disease in dish approach' can be helpful to further explore the fundamental mechanisms.
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Affiliation(s)
- Dhruva Ithal
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Salil K Sukumaran
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Debanjan Bhattacharjee
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Alekhya Vemula
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Ravi Nadella
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Jayant Mahadevan
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Reeteka Sud
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Biju Viswanath
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
| | - Meera Purushottam
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India.
| | - Sanjeev Jain
- Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bengaluru, Karnataka, India
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Tao Y, Zhao Y, Peng Y, Ma X, Sun C, Xu K. MicroRNA-621 inhibits the growth of gastric cancer cells by targeting SYF2. Arch Biochem Biophys 2020; 688:108406. [DOI: 10.1016/j.abb.2020.108406] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 05/05/2020] [Accepted: 05/06/2020] [Indexed: 02/07/2023]
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Shi F, Cai FF, Cai L, Lin XY, Zhang W, Wang QQ, Zhao YJ, Ni QC, Wang H, He ZX. Overexpression of SYF2 promotes cell proliferation and correlates with poor prognosis in human breast cancer. Oncotarget 2017; 8:88453-88463. [PMID: 29179448 PMCID: PMC5687618 DOI: 10.18632/oncotarget.18188] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 03/30/2017] [Indexed: 12/11/2022] Open
Abstract
SYF2, a known cell cycle regulator, is reported to be involved in cell cycle arrest by interacting with cyclin-D-type binding protein 1. In the present study, we investigated the role of SYF2 in human breast cancer (BC) progression. SYF2 was highly upregulated in BC tissues and cell lines, as per Western blot and immunohistochemistry analysis. The SYF2 expression level had a significant correlation with the tumor grade and Ki-67 expression. In vitro starvation-refeeding experiment and SYF2-siRNA transfection assay demonstrated that SYF2 could promote proliferation of BC cells, while SYF2 knockdown resulted in cells cycle arrest at G1/S phase, reducing the cell growth rate of BC cells. These results indicated that SYF2 promotes human BC progression by accelerating the BC cells’ proliferation. SYF2 could be a novel therapeutic target in human BC therapies.
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Affiliation(s)
- Feng Shi
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong University, Nantong, PR China
| | - Feng-Feng Cai
- Department of Breast Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Lu Cai
- Department of Breast Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Xiao-Yan Lin
- Department of Breast Surgery, Yangpu Hospital, Tongji University School of Medicine, Shanghai, PR China
| | - Wei Zhang
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong University, Nantong, PR China
| | - Qin-Qin Wang
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong University, Nantong, PR China
| | - Yu-Jie Zhao
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong University, Nantong, PR China
| | - Qi-Chao Ni
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong University, Nantong, PR China
| | - Hua Wang
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong University, Nantong, PR China
| | - Zhi-Xian He
- Department of General Surgery, Affiliated Hospital of Nantong University, Nantong University, Nantong, PR China
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Mularoni L, Sabarinathan R, Deu-Pons J, Gonzalez-Perez A, López-Bigas N. OncodriveFML: a general framework to identify coding and non-coding regions with cancer driver mutations. Genome Biol 2016; 17:128. [PMID: 27311963 PMCID: PMC4910259 DOI: 10.1186/s13059-016-0994-0] [Citation(s) in RCA: 189] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2016] [Accepted: 05/31/2016] [Indexed: 01/09/2023] Open
Abstract
Distinguishing the driver mutations from somatic mutations in a tumor genome is one of the major challenges of cancer research. This challenge is more acute and far from solved for non-coding mutations. Here we present OncodriveFML, a method designed to analyze the pattern of somatic mutations across tumors in both coding and non-coding genomic regions to identify signals of positive selection, and therefore, their involvement in tumorigenesis. We describe the method and illustrate its usefulness to identify protein-coding genes, promoters, untranslated regions, intronic splice regions, and lncRNAs-containing driver mutations in several malignancies.
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Affiliation(s)
- Loris Mularoni
- Research Program on Biomedical Informatics, IMIM Hospital del Mar Medical Research Institute and Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain
| | - Radhakrishnan Sabarinathan
- Research Program on Biomedical Informatics, IMIM Hospital del Mar Medical Research Institute and Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain
| | - Jordi Deu-Pons
- Research Program on Biomedical Informatics, IMIM Hospital del Mar Medical Research Institute and Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain
| | - Abel Gonzalez-Perez
- Research Program on Biomedical Informatics, IMIM Hospital del Mar Medical Research Institute and Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain
| | - Núria López-Bigas
- Research Program on Biomedical Informatics, IMIM Hospital del Mar Medical Research Institute and Universitat Pompeu Fabra, Doctor Aiguader 88, 08003, Barcelona, Catalonia, Spain.
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Passeig Lluís Companys 23, 08010, Barcelona, Spain.
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Chen J, Gu J, Feng J, Liu Y, Xue Q, Ni T, Wang Z, Jia L, Mao G, Ji L. TAB3 overexpression promotes cell proliferation in non-small cell lung cancer and mediates chemoresistance to CDDP in A549 cells via the NF-κB pathway. Tumour Biol 2015; 37:3851-61. [DOI: 10.1007/s13277-015-3896-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2015] [Accepted: 08/05/2015] [Indexed: 02/05/2023] Open
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Zhang S, Shi W, Chen Y, Xu Z, Zhu J, Zhang T, Huang W, Ni R, Lu C, Zhang X. Overexpression of SYF2 correlates with enhanced cell growth and poor prognosis in human hepatocellular carcinoma. Mol Cell Biochem 2015; 410:1-9. [PMID: 26260052 DOI: 10.1007/s11010-015-2533-9] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 08/06/2015] [Indexed: 01/17/2023]
Abstract
SYF2, also known as p29/NTC31/CBPIN, encodes a nuclear protein that interacts with Cyclin D-type binding-protein 1. SYF2 has been reported to be involved in pre-mRNA splicing and cell cycle regulation. In the present study, we observed that SYF2 was obviously upregulated in HCC tumor tissues and cell lines, and its level was positively correlated with the tumor grade and Ki-67 expression, as well as poor prognosis of HCC. In vitro, using serum starvation-refeeding experiment, our results suggested that SYF2 was upregulated in proliferating HCC cells, and was positive correlated with the expression of PCNA and Cyclin D1. In addition, depletion of SYF2 decreased PCNA and Cyclin D1 levels. Accordingly, interference of SYF2 resulted in cells cycle arrest at G1/S phase in Huh7 HCC cells. Furthermore, we found that SYF2 might interact with Cyclin D1 and could confer doxorubicin resistance in HCC cells. These findings revealed that SYF2 might play a regulatory role in the proliferation of HCC cells. In summary, SYF2 may be a novel prognostic marker and serve as a potential therapeutic target in HCC.
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Affiliation(s)
- Shusen Zhang
- Department of Digestion, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Weidong Shi
- Department of Oncology, The Second People's Hospital of Nantong, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Yuyan Chen
- Class 5 Grade 13, Clinical Medicine, Medical College, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Zhiwei Xu
- Jiangsu Province Key Laboratory for Inflammation and Molecular Drug Target, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Jia Zhu
- Jiangsu Province Key Laboratory for Inflammation and Molecular Drug Target, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Tingting Zhang
- Department of Digestion, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Wei Huang
- Department of Digestion, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Runzhou Ni
- Department of Digestion, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China
| | - Cuihua Lu
- Department of Digestion, Affiliated Hospital of Nantong University, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China.
| | - Xiubing Zhang
- Department of Oncology, The Second People's Hospital of Nantong, Nantong University, Nantong, 226001, Jiangsu, People's Republic of China.
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