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Brūmele B, Serova E, Lupp A, Suija M, Mutso M, Kurg R. Cross-Reactivity of N6AMT1 Antibodies with Aurora Kinase A: An Example of Antibody-Specific Non-Specificity. Antibodies (Basel) 2024; 13:33. [PMID: 38804301 PMCID: PMC11130794 DOI: 10.3390/antib13020033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 04/12/2024] [Accepted: 04/17/2024] [Indexed: 05/29/2024] Open
Abstract
Primary antibodies are one of the main tools used in molecular biology research. However, the often-occurring cross-reactivity of primary antibodies complicates accurate data analysis. Our results show that three commercial polyclonal antibodies raised against N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) strongly cross-react with endogenous and recombinant mitosis-associated protein Aurora kinase A (AURKA). The cross-reactivity was verified through immunofluorescence, immunoblot, and immunoprecipitation assays combined with mass spectrometry. N6AMT1 and AURKA are evolutionarily conserved proteins that are vital for cellular processes. Both proteins share the motif ENNPEE, which is unique to only these two proteins. We suggest that N6AMT1 antibodies recognise this motif in N6AMT1 and AURKA proteins and exhibit an example of "specific" non-specificity. This serves as an example of the importance of controls and critical data interpretation in molecular biology research.
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Affiliation(s)
- Baiba Brūmele
- Institute of Technology, University of Tartu, 50411 Tartu, Estonia
| | - Evgeniia Serova
- Institute of Technology, University of Tartu, 50411 Tartu, Estonia
| | - Aleksandra Lupp
- Institute of Technology, University of Tartu, 50411 Tartu, Estonia
| | - Mihkel Suija
- Institute of Technology, University of Tartu, 50411 Tartu, Estonia
| | - Margit Mutso
- Institute of Technology, University of Tartu, 50411 Tartu, Estonia
| | - Reet Kurg
- Institute of Technology, University of Tartu, 50411 Tartu, Estonia
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2
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Guo G, Chen X, Zhang J, Meng X, Jia A, Xing X, Huang F, Zhang X, Liu J, Li S, Zhang Q. Serum Folate and Vitamin B 12 Modify the Associations of N6AMT1 Genetic Variants with Gestational Diabetes Mellitus: A Cross-Sectional Study in Chinese Pregnant Women. Diabetes Metab Syndr Obes 2024; 17:1781-1791. [PMID: 38645658 PMCID: PMC11032668 DOI: 10.2147/dmso.s451045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Accepted: 04/01/2024] [Indexed: 04/23/2024] Open
Abstract
Purpose This study aimed to explore the association between N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) single nucleotide polymorphisms (SNPs) and gestational diabetes mellitus (GDM) and the modification of the relationship by folate and vitamin B12. Methods A cross-sectional study involving 1303 pregnant women (262 GDM and 1041 non-GDM) was performed in Tianjin, China. Nine SNPs in N6AMT1 were genotyped, and serum folate, vitamin B12, and homocysteine (Hcy) levels were measured. The logistic regression models determined the odds ratios (ORs) for SNPs in N6AMT1 and the gene-nutrition interactions on GDM. Results N6AMT1 rs7282280, rs1048546, and rs1997605 were related to GDM under the dominant model after adjusting for multiple covariates. Individuals carrying the N6AMT1 rs7282280 TC/TT genotypes had a lower risk of developing GDM, regardless of serum folate and vitamin B12 levels. However, rs1048546 TG/GG genotypes were associated with lower GDM risk when serum folate ≥ 6.0 ng/mL. Pregnancies with the risk genotypes in N6AMT1 and higher serum folate or lower vitamin B12 are more prone to GDM. The study also showed a statistically significant additive interaction between N6AMT1 rs1997605 GG genotypes and lower vitamin B12 (RERI: 2.54; 95% CI: 0.17, 4.92). Conclusion SNPs in N6AMT1 were found to be associated with GDM, and serum folate and vitamin B12 levels can modify their associations.
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Affiliation(s)
- Guanshuai Guo
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Jingran Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Xiangmin Meng
- Department of Endocrinology, Tianjin Xiqing Hospital, Tianjin, People’s Republic of China
| | - Aifeng Jia
- Department of Obstetrics and Gynecology, Tianjin Xiqing Hospital, Tianjin, People’s Republic of China
| | - Xinli Xing
- Department of Obstetrics and Gynecology, Women’s and Children’s Health Center of Dongchangfu District, Liaocheng, People’s Republic of China
| | - Fenglei Huang
- Department of Reproductive Health, Women’s and Children’s Health Center of Dongchangfu District, Liaocheng, People’s Republic of China
| | - Xumei Zhang
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Department of Nutrition and Food Science, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Juan Liu
- Department of Biomedical Information and Library, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Shuying Li
- Department of Endocrinology, Tianjin Xiqing Hospital, Tianjin, People’s Republic of China
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, People’s Republic of China
| | - Qiang Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, School of Public Health, Tianjin Medical University, Tianjin, People’s Republic of China
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3
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Zhou D, Guo S, Wang Y, Zhao J, Liu H, Zhou F, Huang Y, Gu Y, Jin G, Zhang Y. Functional characteristics of DNA N6-methyladenine modification based on long-read sequencing in pancreatic cancer. Brief Funct Genomics 2024; 23:150-162. [PMID: 37279592 DOI: 10.1093/bfgp/elad021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 04/18/2023] [Accepted: 05/16/2023] [Indexed: 06/08/2023] Open
Abstract
Abnormalities of DNA modifications are closely related to the pathogenesis and prognosis of pancreatic cancer. The development of third-generation sequencing technology has brought opportunities for the study of new epigenetic modification in cancer. Here, we screened the N6-methyladenine (6mA) and 5-methylcytosine (5mC) modification in pancreatic cancer based on Oxford Nanopore Technologies sequencing. The 6mA levels were lower compared with 5mC and upregulated in pancreatic cancer. We developed a novel method to define differentially methylated deficient region (DMDR), which overlapped 1319 protein-coding genes in pancreatic cancer. Genes screened by DMDRs were more significantly enriched in the cancer genes compared with the traditional differential methylation method (P < 0.001 versus P = 0.21, hypergeometric test). We then identified a survival-related signature based on DMDRs (DMDRSig) that stratified patients into high- and low-risk groups. Functional enrichment analysis indicated that 891 genes were closely related to alternative splicing. Multi-omics data from the cancer genome atlas showed that these genes were frequently altered in cancer samples. Survival analysis indicated that seven genes with high expression (ADAM9, ADAM10, EPS8, FAM83A, FAM111B, LAMA3 and TES) were significantly associated with poor prognosis. In addition, the distinction for pancreatic cancer subtypes was determined using 46 subtype-specific genes and unsupervised clustering. Overall, our study is the first to explore the molecular characteristics of 6mA modifications in pancreatic cancer, indicating that 6mA has the potential to be a target for future clinical treatment.
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Affiliation(s)
- Dianshuang Zhou
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Shiwei Guo
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China
| | - Yangyang Wang
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Jiyun Zhao
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Honghao Liu
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Feiyang Zhou
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Yan Huang
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Yue Gu
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
| | - Gang Jin
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Second Military Medical University (Naval Medical University), Shanghai 200433, China
| | - Yan Zhang
- School of Life Science and Technology, Computational Biology Research Center, Harbin Institute of Technology, Harbin 150006, China
- State Key Laboratory of Respiratory Disease, Guangzhou Medical University, Guangzhou, China
- College of Pathology, Qiqihar Medical University, Qiqihar 161042, China
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4
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Zhang B, Wang Z, Zhang S, Zhong S, Sun Y, Liu X. N6-methyloxyadenine-mediated detoxification and ferroptosis confer a trade-off between multi-fungicide resistance and fitness. mBio 2024; 15:e0317723. [PMID: 38294217 PMCID: PMC10936191 DOI: 10.1128/mbio.03177-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Accepted: 12/14/2023] [Indexed: 02/01/2024] Open
Abstract
Multi-fungicide resistance (MFR) is a serious environmental problem, which results in the excessive use of fungicides. Fitness penalty, as a common phenomenon in MFR, can partially counteract the issue of resistance due to the weakened vigor of MFR pathogens. Their underlying mechanism and relationship remain unexplained. By Oxford Nanopore Technologies sequencing and dot blot, we found that N6-methyloxyadenine (6mA) modification, the dominate epigenetic marker in Phytophthora capsici, was significantly altered after MFR emerged. Among the differently methylated genes, PcGSTZ1 could efficiently detoxify SYP-14288, a novel uncoupler, through complexing the fungicide with glutathione and induce MFR. Interestingly, PcGSTZ1 overexpression was induced by elevated 6mA levels and chromatin accessibility to its genomic loci. Moreover, the overexpression led to reactive oxygen species burst and ferroptosis in SYP-14288-resistant mutants, which enhanced the resistance and induced fitness penalty in P. capsici through triggering low energy shock adaptive response. Furthermore, this study revealed that the 6mA-PcGSTZ1-ferroptosis axis could mediate intergenerational resistance memory transmission and enabled adaptive advantage to P. capsici. In conclusion, the findings provide new insights into the biological role of 6mA as well as the mechanisms underlying the trade-off between MFR and fitness. These could also benefit disease control through the blockade of the epigenetic axis to resensitize resistant isolates.IMPORTANCEN6-methyloxyadenine (6mA) modification on DNA is correlated with tolerance under different stress in prokaryotes. However, the role of 6mA in eukaryotes remains poorly understood. Our current study reveals that DNA adenine methyltransferase 1 (DAMT1)-mediated 6mA modification at the upstream region of GST zeta 1 (GSTZ1) is elevated in the resistant strain. This elevation promotes the detoxification uncoupler and induces multifungicide resistance (MFR). Moreover, the overexpression led to reactive oxygen species burst and ferroptosis in SYP-14288-resistant mutants, which enhanced the resistance and induced fitness penalty in Phytophthora capsici through triggering low energy shock adaptive response. Furthermore, this study revealed that the 6mA-PcGSTZ1-ferroptosis axis could mediate intergenerational resistance memory transmission and enabled adaptive advantage to P. capsici. Overall, our findings uncover an innovative mechanism underlying 6mA modification in regulating PcGSTZ1 transcription and the ferroptosis pathway in P. capsici.
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Affiliation(s)
- Borui Zhang
- China Agricultural University, Beijing, China
| | - Zhiwen Wang
- China Agricultural University, Beijing, China
- Sanya Institute of China Agricultural University, Sanya, China
| | | | - Shan Zhong
- China Agricultural University, Beijing, China
| | - Ye Sun
- China Agricultural University, Beijing, China
| | - Xili Liu
- China Agricultural University, Beijing, China
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, China
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5
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Mutso M, Brūmele B, Serova E, Väärtnõu F, Suija M, Kurg R. The methyltransferase N6AMT1 participates in the cell cycle by regulating cyclin E levels. PLoS One 2024; 19:e0298884. [PMID: 38394175 PMCID: PMC10889616 DOI: 10.1371/journal.pone.0298884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 01/31/2024] [Indexed: 02/25/2024] Open
Abstract
The methyltransferase N6AMT1 has been associated with the progression of different pathological conditions, such as tumours and neurological malfunctions, but the underlying mechanism is not fully understood. Analysis of N6AMT1-depleted cells revealed that N6AMT1 is involved in the cell cycle and cell proliferation. In N6AMT1-depleted cells, the cell doubling time was increased, and cell progression out of mitosis and the G0/G1 and S phases was disrupted. It was discovered that in N6AMT1-depleted cells, the transcription of cyclin E was downregulated, which indicates that N6AMT1 is involved in the regulation of cyclin E transcription. Understanding the functions and importance of N6AMT1 in cell proliferation and cell cycle regulation is essential for developing treatments and strategies to control diseases that are associated with N6AMT1.
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Affiliation(s)
- Margit Mutso
- Institute of Technology, University of Tartu, Tartu, Estonia
| | - Baiba Brūmele
- Institute of Technology, University of Tartu, Tartu, Estonia
| | - Evgeniia Serova
- Institute of Technology, University of Tartu, Tartu, Estonia
| | - Fred Väärtnõu
- Institute of Technology, University of Tartu, Tartu, Estonia
| | - Mihkel Suija
- Institute of Technology, University of Tartu, Tartu, Estonia
| | - Reet Kurg
- Institute of Technology, University of Tartu, Tartu, Estonia
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6
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Yin Z, Lyu J, Zhang G, Huang X, Ma Q, Jiang J. SoftVoting6mA: An improved ensemble-based method for predicting DNA N6-methyladenine sites in cross-species genomes. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:3798-3815. [PMID: 38549308 DOI: 10.3934/mbe.2024169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/02/2024]
Abstract
The DNA N6-methyladenine (6mA) is an epigenetic modification, which plays a pivotal role in biological processes encompassing gene expression, DNA replication, repair, and recombination. Therefore, the precise identification of 6mA sites is fundamental for better understanding its function, but challenging. We proposed an improved ensemble-based method for predicting DNA N6-methyladenine sites in cross-species genomes called SoftVoting6mA. The SoftVoting6mA selected four (electron-ion-interaction pseudo potential, One-hot encoding, Kmer, and pseudo dinucleotide composition) codes from 15 types of encoding to represent DNA sequences by comparing their performances. Similarly, the SoftVoting6mA combined four learning algorithms using the soft voting strategy. The 5-fold cross-validation and the independent tests showed that SoftVoting6mA reached the state-of-the-art performance. To enhance accessibility, a user-friendly web server is provided at http://www.biolscience.cn/SoftVoting6mA/.
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Affiliation(s)
- Zhaoting Yin
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
| | - Jianyi Lyu
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
| | - Guiyang Zhang
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
| | - Xiaohong Huang
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
| | - Qinghua Ma
- College of Information Science and Engineering, Hohai University, Nanjing 210000, China
- Faculty of Information Technology, University of Jyvaskyla, Jyvaskyla, Finland
| | - Jinyun Jiang
- College of Information Science and Engineering, Shaoyang University, Shaoyang 422000, China
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7
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Wang M, Zhu J, Ye Y, Li P, Sun W, Zhang M. N6AMT1 is a novel potential diagnostic, prognostic and immunotherapy response biomarker in pan-cancer. Aging (Albany NY) 2023; 15:6526-6544. [PMID: 37437243 PMCID: PMC10373955 DOI: 10.18632/aging.204868] [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: 04/03/2023] [Accepted: 06/15/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND The N-6-adenine-specific DNA methyltransferase 1 (N6AMT1) is the only writer responsible for DNA 6mA modifications. At present, its role in cancer is still unclear, and further systematic pan-cancer analysis is needed to explore its value in diagnosis, prognosis and immunological function. METHODS The subcellular localization of N6AMT1 was explored by UniProt and HPA database. The expression data and prognosis data of N6AMT1 were downloaded from the UCSC (cohort: TCGA pan-cancer), and the diagnostic and prognostic value of N6AMT1 in pan-cancer was explored. The value of N6AMT1-guided immunotherapy was explored through three cohorts (GSE168204, GSE67501 and IMvigor210 cohort). The correlation between N6AMT1 expression and tumor immune microenvironment was explored using CIBERSORT and ESTIMATE calculation methods, combined with TISIDB database. The biological role of N6AMT1 in specific tumors was explored by GSEA method. Finally, we explored chemicals affecting N6AMT1 expression through the CTD. RESULTS N6AMT1 is mainly localized in the nucleus and differentially expressed in 9 cancer types. In addition, N6AMT1 showed early diagnostic value in 7 cancers and showed potential prognostic value in multiple cancer types. We also demonstrated that N6AMT1 expression was significantly associated with immunomodulator-related molecules, infiltration of lymphocyte subsets, and biomarkers of immunotherapy response. Furthermore, we show that N6AMT1 is differentially expressed in the immunotherapy cohort. Finally, we explored 43 chemicals that can affect N6AMT1 expression. CONCLUSIONS N6AMT1 has shown excellent diagnostic and prognostic capabilities in a variety of cancers, and it may reshape the tumor microenvironment and contribute to the ability to predict response to immunotherapy.
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Affiliation(s)
- Mingqi Wang
- Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Shushan, Hefei 230022, Anhui, China
- Department of Integrated Traditional Chinese and Western Medicine, Anhui Medical University, Shushan, Hefei 230022, Anhui, China
| | - Jiajie Zhu
- Department of Gastroenterology, Tongde Hospital of Zhejiang Province, Xihu, Hangzhou 310012, Zhejiang, China
| | - Yingquan Ye
- Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Shushan, Hefei 230022, Anhui, China
- Department of Integrated Traditional Chinese and Western Medicine, Anhui Medical University, Shushan, Hefei 230022, Anhui, China
| | - Ping Li
- Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Shushan, Hefei 230022, Anhui, China
- Department of Integrated Traditional Chinese and Western Medicine, Anhui Medical University, Shushan, Hefei 230022, Anhui, China
| | - Weijie Sun
- Department of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Shushan, Hefei 230022, Anhui, China
| | - Mei Zhang
- Department of Chinese Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, Shushan, Hefei 230022, Anhui, China
- Department of Integrated Traditional Chinese and Western Medicine, Anhui Medical University, Shushan, Hefei 230022, Anhui, China
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8
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Luo P, Shi Z, He C, Chen G, Feng J, Zhu L, Song X. Predicting the Clinical Outcome of Triple-Negative Breast Cancer Based on the Gene Expression Characteristics of Necroptosis and Different Molecular Subtypes. Stem Cells Int 2023; 2023:8427767. [PMID: 37274025 PMCID: PMC10234373 DOI: 10.1155/2023/8427767] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 09/21/2022] [Accepted: 10/12/2022] [Indexed: 08/06/2023] Open
Abstract
Necroptosis, a kind of programmed necrotic cell apoptosis, is the gatekeeper for the host to defend against the invasion of pathogens. It helps to regulate different biological processes regarding human cancer. Nevertheless, studies that determine the impact of death on triple-negative breast cancer (TNBC) are scarce. Therefore, this paper has comprehensively examined the expression as well as clinical significance of necroptosis in TNBC. ConsensusClusterPlus was used to establish a stable molecular classification that used the expression regarding the necroptosis-linked genes. The clinical and immune characteristics of different subclasses were evaluated. Then, the weighted gene coexpression network analysis (WGCNA) assisted in determining key modules, and we selected the genes exhibiting obvious association with necroptosis prognosis through the relationship with prognosis. The univariate Cox regression analysis together with least absolute shrinkage and selection operator (LASSO) techniques served for the construction of the necroptosis-related prognostic risk score (NPRS) model, and the pathway characteristics of NPRS model grouping were further studied. Finally, the NPRS, taking into account the clinicopathological features, used the decision tree model for enhancing the prognostic model as well as the survival prediction. First, two stable molecular subtypes with different prognosis and immune characteristics were identified using necroptosis marker genes. Then, the key modules were identified, and 10 genes significantly related to the prognosis of necroptosis were selected. Then, the clinical prognostic model of NPRS was developed considering the prognosis-linked necroptosis genes. Finally, the NPRS model, taking into account the clinicopathological features, adopted the decision tree model for enhancing the prognostic model as well as the survival prediction. Herein, two new molecular subgroups considering necroptosis-linked genes are proposed, and an NPRS model composed of 10 genes is developed, which maybe assist in the personalized treatment and clinical treatment guidance of TNBC patients.
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Affiliation(s)
- Peng Luo
- Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China
| | - Zhaoqi Shi
- Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China
| | - Changshou He
- Department of Oncology, HaploX Biotechnology, Shenzhen 518000, China
| | - Guojun Chen
- Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China
| | - Ji Feng
- Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China
| | - Linghua Zhu
- Department of General Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China
| | - Xiangyang Song
- Department of Surgical Oncology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310020, China
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9
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Hu Y, Hong X, Yuan Z, Mu J, Zhang X, Fang Z, Yuan Y, Zheng S, Guo C. Pan-cancer analysis of DNA epigenetic modifications by hydrophilic interaction liquid chromatography-tandem mass spectrometry. CHINESE CHEM LETT 2022. [DOI: 10.1016/j.cclet.2022.108023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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10
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Li H, Zhang N, Wang Y, Xia S, Zhu Y, Xing C, Tian X, Du Y. DNA N6-Methyladenine Modification in Eukaryotic Genome. Front Genet 2022; 13:914404. [PMID: 35812743 PMCID: PMC9263368 DOI: 10.3389/fgene.2022.914404] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/08/2022] [Indexed: 11/18/2022] Open
Abstract
DNA methylation is treated as an important epigenetic mark in various biological activities. In the past, a large number of articles focused on 5 mC while lacking attention to N6-methyladenine (6 mA). The presence of 6 mA modification was previously discovered only in prokaryotes. Recently, with the development of detection technologies, 6 mA has been found in several eukaryotes, including protozoans, metazoans, plants, and fungi. The importance of 6 mA in prokaryotes and single-celled eukaryotes has been widely accepted. However, due to the incredibly low density of 6 mA and restrictions on detection technologies, the prevalence of 6 mA and its role in biological processes in eukaryotic organisms are highly debated. In this review, we first summarize the advantages and disadvantages of 6 mA detection methods. Then, we conclude existing reports on the prevalence of 6 mA in eukaryotic organisms. Next, we highlight possible methyltransferases, demethylases, and the recognition proteins of 6 mA. In addition, we summarize the functions of 6 mA in eukaryotes. Last but not least, we summarize our point of view and put forward the problems that need further research.
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Affiliation(s)
- Hao Li
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- First School of Clinical Medicine, Anhui Medical University, Hefei, China
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Ning Zhang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- First School of Clinical Medicine, Anhui Medical University, Hefei, China
- First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yuechen Wang
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- Second School of Clinical Medicine, Anhui Medical University, Hefei, China
| | - Siyuan Xia
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- Second School of Clinical Medicine, Anhui Medical University, Hefei, China
| | - Yating Zhu
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Chen Xing
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
| | - Xuefeng Tian
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- First School of Clinical Medicine, Anhui Medical University, Hefei, China
| | - Yinan Du
- School of Basic Medical Sciences, Anhui Medical University, Hefei, China
- *Correspondence: Yinan Du,
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Tang X, Zheng P, Li X, Wu H, Wei DQ, Liu Y, Huang G. Deep6mAPred: A CNN and Bi-LSTM-based deep learning method for predicting DNA N6-methyladenosine sites across plant species. Methods 2022; 204:142-150. [PMID: 35477057 DOI: 10.1016/j.ymeth.2022.04.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 04/16/2022] [Accepted: 04/20/2022] [Indexed: 12/11/2022] Open
Abstract
DNA N6-methyladenine (6mA) is a key DNA modification, which plays versatile roles in the cellular processes, including regulation of gene expression, DNA repair, and DNA replication. DNA 6mA is closely associated with many diseases in the mammals and with growth as well as development of plants. Precisely detecting DNA 6mA sites is of great importance to exploration of 6mA functions. Although many computational methods have been presented for DNA 6mA prediction, there is still a wide gap in the practical application. We presented a convolution neural network (CNN) and bi-directional long-short term memory (Bi-LSTM)-based deep learning method (Deep6mAPred) for predicting DNA 6mA sites across plant species. The Deep6mAPred stacked the CNNs and the Bi-LSTMs in a paralleling manner instead of a series-connection manner. The Deep6mAPred also employed the attention mechanism for improving the representations of sequences. The Deep6mAPred reached an accuracy of 0.9556 over the independent rice dataset, far outperforming the state-of-the-art methods. The tests across plant species showed that the Deep6mAPred is of a remarkable advantage over the state of the art methods. We developed a user-friendly web application for DNA 6mA prediction, which is freely available at http://106.13.196.152:7001/ for all the scientific researchers. The Deep6mAPred would enrich tools to predict DNA 6mA sites and speed up the exploration of DNA modification.
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Affiliation(s)
- Xingyu Tang
- School of Electrical Engineering, Shaoyang University, Shaoyang, Hunan 422000, China
| | - Peijie Zheng
- School of Electrical Engineering, Shaoyang University, Shaoyang, Hunan 422000, China
| | - Xueyong Li
- School of Electrical Engineering, Shaoyang University, Shaoyang, Hunan 422000, China
| | - Hongyan Wu
- The Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
| | - Dong-Qing Wei
- The Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; State Key Laboratory of Microbial Metabolism, and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Yuewu Liu
- College of Information and Intelligence, Hunan Agricultural University, Changsha, Hunan 410081, China
| | - Guohua Huang
- School of Electrical Engineering, Shaoyang University, Shaoyang, Hunan 422000, China.
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12
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Boulias K, Greer EL. Means, mechanisms and consequences of adenine methylation in DNA. Nat Rev Genet 2022; 23:411-428. [PMID: 35256817 PMCID: PMC9354840 DOI: 10.1038/s41576-022-00456-x] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2022] [Indexed: 12/29/2022]
Abstract
N6-methyl-2'-deoxyadenosine (6mA or m6dA) has been reported in the DNA of prokaryotes and eukaryotes ranging from unicellular protozoa and algae to multicellular plants and mammals. It has been proposed to modulate DNA structure and transcription, transmit information across generations and have a role in disease, among other functions. However, its existence in more recently evolved eukaryotes remains a topic of debate. Recent technological advancements have facilitated the identification and quantification of 6mA even when the modification is exceptionally rare, but each approach has limitations. Critical assessment of existing data, rigorous design of future studies and further development of methods will be required to confirm the presence and biological functions of 6mA in multicellular eukaryotes.
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13
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Molecular targets and therapeutics in chemoresistance of triple-negative breast cancer. Med Oncol 2021; 39:14. [PMID: 34812991 DOI: 10.1007/s12032-021-01610-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 11/03/2021] [Indexed: 02/06/2023]
Abstract
Triple-negative breast cancer (TNBC) is a specific subtype of breast cancer (BC), which shows immunohistochemically negative expression of hormone receptor i.e., Estrogen receptor and Progesterone receptor along with the absence of Human Epidermal Growth Factor Receptor-2 (HER2/neu). In Indian scenario the prevalence of BC is 26.3%, whereas, in West Bengal the cases are of 18.4%. But the rate of TNBC has increased up to 31% and shows 27% of total BC. Conventional chemotherapy is effective only in the initial stages but with progression of the disease the effectivity gets reduced and shown almost no effect in later or advanced stages of TNBC. Thus, TNBC patients frequently develop resistance and metastasis, due to its peculiar triple-negative nature most of the hormonal therapies also fails. Development of chemoresistance may involve various factors, such as, TNBC heterogeneity, cancer stem cells (CSCs), signaling pathway deregulation, DNA repair mechanism, hypoxia, and other molecular factors. To overcome the challenges to treat TNBC various targets and molecules have been exploited including CSCs modulator, drug efflux transporters, hypoxic factors, apoptotic proteins, and regulatory signaling pathways. Moreover, to improve the targets and efficacy of treatments researchers are emphasizing on targeted therapy for TNBC. In this review, an effort has been made to focus on phenotypic and molecular variations in TNBC along with the role of conventional as well as newly identified pathways and strategies to overcome challenge of chemoresistance.
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14
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Li X, Zhang Z, Luo X, Schrier J, Yang AD, Wu TP. The exploration of N6-deoxyadenosine methylation in mammalian genomes. Protein Cell 2021; 12:756-768. [PMID: 34405377 PMCID: PMC8464638 DOI: 10.1007/s13238-021-00866-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/12/2021] [Indexed: 11/11/2022] Open
Abstract
N6-methyladenine (N6-mA, m6dA, or 6mA), a prevalent DNA modification in prokaryotes, has recently been identified in higher eukaryotes, including mammals. Although 6mA has been well-studied in prokaryotes, the function and regulatory mechanism of 6mA in eukaryotes are still poorly understood. Recent studies indicate that 6mA can serve as an epigenetic mark and play critical roles in various biological processes, from transposable-element suppression to environmental stress response. Here, we review the significant advances in methodology for 6mA detection and major progress in understanding the regulation and function of this non-canonical DNA methylation in eukaryotes, predominantly mammals.
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Affiliation(s)
- Xuwen Li
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Zijian Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Xinlong Luo
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Jacob Schrier
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Andrew D Yang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA.,Medical Scientist Training Program, Baylor College of Medicine, Houston, TX, 77030, USA
| | - Tao P Wu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, 77030, USA. .,Huffington Center on Aging, Baylor College of Medicine, Houston, TX, 77030, USA. .,Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA.
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