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Xu Y, Wang X, Yuan W, Zhang L, Chen W, Hu K. Identification of BANF1 as a novel prognostic biomarker in gastric cancer and validation via in-vitro and in-vivo experiments. Aging (Albany NY) 2024; 16:1808-1828. [PMID: 38261746 PMCID: PMC10866416 DOI: 10.18632/aging.205461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Accepted: 12/14/2023] [Indexed: 01/25/2024]
Abstract
Gastric cancer (GC) is a widespread malignancy characterized by a notably high incidence rate and an unfavorable prognosis. We conducted a meticulous analysis of GC high-throughput sequencing data downloaded from the Gene Expression Omnibus (GEO) repository to pinpoint distinctive genes associated with GC. Our investigation successfully identified three signature genes implicated in GC, with a specific focus on the barrier to autointegration factor 1 (BANF1), which exhibits elevated expression across various cancer types, including GC. Bioinformatic analysis has highlighted BANF1 as a prognostic indicator for patients with GC, with direct implications for immune cell infiltration. To gain a more comprehensive understanding of the significance of BANF1 in GC, we performed a series of in vitro experiments to confirm its high expression in GC tissues and cellular components. Intriguingly, the induction of BANF1 knockdown resulted in a marked attenuation of proliferation, migratory capacity, and invasive potential in GC cells. Moreover, our in vivo experiments using nude mouse models revealed a notable impediment in tumor growth following BANF1 knockdown. These insights underscore the feasibility of BANF1 as a novel therapeutic target for GC.
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Affiliation(s)
- Yuanmin Xu
- Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Xu Wang
- Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Weiwei Yuan
- Department of General Surgery, Anhui Public Health Clinical Center, Hefei 230022, China
| | - Ling Zhang
- Department of Immunology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230022, China
| | - Wei Chen
- Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
| | - Kongwang Hu
- Department of General Surgery, First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
- Department of General Surgery, Fuyang Affiliated Hospital of Anhui Medical University, Fuyang 236000, China
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Chen C, Ren H, Li H, Deng Y, Cui Q, Zhu J, Zhang S, Yu J, Wang H, Yu X, Yang S, Hu X, Peng Y. Identification of crucial modules and genes associated with backfat tissue development by WGCNA in Ningxiang pigs. Front Genet 2023; 14:1234757. [PMID: 37662841 PMCID: PMC10469685 DOI: 10.3389/fgene.2023.1234757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/07/2023] [Indexed: 09/05/2023] Open
Abstract
Fat deposition is an economically important trait in pigs. Ningxiang pig, one of the four famous indigenous breeds in China, is characterized by high fat content. The underlying gene expression pattern in different developmental periods of backfat tissue remains unclear, and the purpose of this investigation is to explore the potential molecular regulators of backfat tissue development in Ningxiang pigs. Backfat tissue (three samples for each stage) was initially collected from different developmental stages (60, 120, 180, 240, 300, and 360 days after birth), and histological analysis and RNA sequencing (RNA-seq) were then conducted. Fragments per kilobase of transcript per million (FPKM) method was used to qualify gene expressions, and differentially expressed genes (DEGs) were identified. Furthermore, strongly co-expressed genes in modules, which were named by color, were clustered by Weighted gene co-expression network analysis (WGCNA) based on dynamic tree cutting algorithm. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) enrichment were subsequently implemented, and hub genes were described in each module. Finally, QPCR analysis was employed to validate RNA-seq data. The results showed that adipocyte area increased and adipocyte number decreased with development of backfat tissue. A total of 1,024 DEGs were identified in five comparison groups (120 days vs. 60 days, 180 days vs. 120 days, 240 days vs. 180 days, 300 days vs. 240 days, and 360 days vs. 300 days). The turquoise, red, pink, paleturquoise, darkorange, and darkgreen module had the highest correlation coefficient with 60, 120, 180, 240, 300, and 360 days developmental stage, while the tan, black and turquoise module had strong relationship with backfat thickness, adipocyte area, and adipocyte number, respectively. Thirteen hub genes (ACSL1, ACOX1, FN1, DCN, CHST13, COL1A1, COL1A2, COL6A3, COL5A1, COL14A1, OAZ3, DNM1, and SELP) were recognized. ACSL1 and ACOX1 might perform function in the early developmental stage of backfat tissue (60 days), and FN1, DCN, COL1A1, COL1A2, COL5A1, COL6A3, and COL14A1 have unignorable position in backfat tissue around 120 days developmental stage. Besides, hub genes SELP and DNM1 in modules significantly associated with backfat thickness and adipocyte area might be involved in the process of backfat tissue development. These findings contribute to understand the integrated mechanism underlying backfat tissue development and promote the progress of genetic improvement in Ningxiang pigs.
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Affiliation(s)
- Chen Chen
- Department of Pig Breeding, Key Laboratory of Conservation and Genetic Analysis of Indigenous Pigs, Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Huibo Ren
- Department of Pig Breeding, Key Laboratory of Conservation and Genetic Analysis of Indigenous Pigs, Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Huali Li
- Department of Pig Breeding, Key Laboratory of Conservation and Genetic Analysis of Indigenous Pigs, Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Yuan Deng
- Department of Pig Breeding, Key Laboratory of Conservation and Genetic Analysis of Indigenous Pigs, Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Qingming Cui
- Department of Pig Breeding, Key Laboratory of Conservation and Genetic Analysis of Indigenous Pigs, Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Ji Zhu
- Department of Pig Breeding, Key Laboratory of Conservation and Genetic Analysis of Indigenous Pigs, Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Siyang Zhang
- Hunan Liushahe Ecological Animal Husbandry Co, Ltd., Changsha, China
| | - Jine Yu
- Hunan Liushahe Ecological Animal Husbandry Co, Ltd., Changsha, China
| | - Huiming Wang
- Hunan Liushahe Ecological Animal Husbandry Co, Ltd., Changsha, China
| | - Xiaodan Yu
- Hunan Liushahe Ecological Animal Husbandry Co, Ltd., Changsha, China
| | - Shiliu Yang
- Hunan Liushahe Ecological Animal Husbandry Co, Ltd., Changsha, China
| | - Xionggui Hu
- Department of Pig Breeding, Key Laboratory of Conservation and Genetic Analysis of Indigenous Pigs, Hunan Institute of Animal and Veterinary Science, Changsha, China
| | - Yinglin Peng
- Department of Pig Breeding, Key Laboratory of Conservation and Genetic Analysis of Indigenous Pigs, Hunan Institute of Animal and Veterinary Science, Changsha, China
- Department of Animal Genetics and Breeding, College of Animal Science and Technology, Hunan Agricultural University, Changsha, China
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Blaser MC, Kraler S, Lüscher TF, Aikawa E. Network-Guided Multiomic Mapping of Aortic Valve Calcification. Arterioscler Thromb Vasc Biol 2023; 43:417-426. [PMID: 36727519 PMCID: PMC9975082 DOI: 10.1161/atvbaha.122.318334] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 01/18/2023] [Indexed: 02/03/2023]
Abstract
Despite devastating clinical sequelae of calcific aortic valve disease that range from left ventricular remodeling to arrhythmias, heart failure, and early death, the molecular insights into disease initiation and progression are limited and pharmacotherapies remain unavailable. The pathobiology of calcific aortic valve disease is complex and comprehensive studies are challenging valvular calcification is heterogeneous and occurs preferentially on the aortic surface, along a fibrocalcific spectrum. Here, we review efforts to study (epi-)genomic, transcriptomic, proteomic, and metabolomic aspects of aortic valve calcification in combination with network medicine-/systems biology-based strategies to integrate multilayered omics datasets and prioritize druggable targets for experimental validation studies. Ultimately, such holistic approach efforts may open therapeutic avenues that go beyond invasive and costly valve replacement therapy.
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Affiliation(s)
- Mark C. Blaser
- Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Simon Kraler
- Center for Molecular Cardiology, University of Zurich, Schlieren, CH
| | - Thomas F. Lüscher
- Center for Molecular Cardiology, University of Zurich, Schlieren, CH
- Heart Division, Royal Brompton & Harefield Hospitals, London, UK
- National Heart and Lung Institute, Imperial College, London, UK
| | - Elena Aikawa
- Center for Interdisciplinary Cardiovascular Sciences, Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Center for Excellence in Vascular Biology, Cardiovascular Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
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