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Salilew-Wondim D, Tholen E, Held-Hoelker E, Shellander K, Blaschka C, Drillich M, Iwersen M, Suess D, Gebremedhn S, Tesfaye D, Parys C, Helmbrecht A, Guyader J, Miskel D, Trakooljul N, Wimmers K, Hoelker M. Endometrial DNA methylation signatures during the time of breeding in relation to the pregnancy outcome in postpartum dairy cows fed a control diet or supplemented with rumen-protected methionine. Front Genet 2024; 14:1267053. [PMID: 38327702 PMCID: PMC10847534 DOI: 10.3389/fgene.2023.1267053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 12/21/2023] [Indexed: 02/09/2024] Open
Abstract
Post calving metabolic stress reduces the fertility of high producing dairy cows possibly by altering the expression of genes in the maternal environment via epigenetic modifications. Therefore, this study was conducted to identify endometrial DNA methylation marks that can be associated with pregnancy outcomes in postpartum cows at the time of breeding. For this, twelve days post-calving, cows were either offered a control diet or supplemented daily with rumen-protected methionine. Cows showing heat 50-64 days postpartum were artificially inseminated. Endometrial cytobrush samples were collected 4-8 h after artificial insemination and classified based on the pregnancy out comes as those derived from cows that resulted in pregnancy or resulted in no pregnancy. The DNAs isolated from endometrial samples were then subject to reduced representative bisulfite sequencing for DNA methylation analysis. Results showed that in the control diet group, 1,958 differentially methylated CpG sites (DMCGs) were identified between cows that resulted in pregnancy and those that resulted in no pregnancy of which 890 DMCGs were located on chr 27: 6217254-6225600 bp. A total of 537 DMCGs were overlapped with 313 annotated genes that were involved in various pathways including signal transduction, signalling by GPCR, aldosterone synthesis and secretion. Likewise, in methionine supplemented group, 3,430 CpG sites were differentially methylated between the two cow groups of which 18.7% were located on Chr27: 6217254-6225600 bp. A total of 1,781 DMCGS were overlapped with 890 genes which involved in developmental and signalling related pathways including WNT-signalling, focal adhesion and ECM receptor interaction. Interestingly, 149 genes involved in signal transduction, axon guidance and non-integrin membrane-ECM interactions were differentially methylated between the two cow groups irrespective of their feeding regime, while 453 genes involved in axon guidance, notch signalling and collagen formation were differentially methylated between cows that received rumen protected methionine and control diet irrespective of their fertility status. Overall, this study indicated that postpartum cows that could potentially become pregnant could be distinguishable based on their endometrial DNA methylation patterns at the time of breeding.
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Affiliation(s)
- Dessie Salilew-Wondim
- Department of Animal Science, Biotechnology and Reproduction of Farm Animals, University of Göttingen, Göttingen, Germany
- Institute of Animal Sciences, Animal Breeding, University of Bonn, Bonn, Germany
| | - Ernst Tholen
- Institute of Animal Sciences, Animal Breeding, University of Bonn, Bonn, Germany
| | - Eva Held-Hoelker
- Institute of Animal Sciences, Animal Breeding, University of Bonn, Bonn, Germany
| | - Karl Shellander
- Department of Animal Science, Biotechnology and Reproduction of Farm Animals, University of Göttingen, Göttingen, Germany
| | - Carina Blaschka
- Department of Animal Science, Biotechnology and Reproduction of Farm Animals, University of Göttingen, Göttingen, Germany
| | - Marc Drillich
- Clinical Unit for Herd Health Management, University Clinic for Ruminants, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Michael Iwersen
- Clinical Unit for Herd Health Management, University Clinic for Ruminants, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria
| | - David Suess
- Clinical Unit for Herd Health Management, University Clinic for Ruminants, Department for Farm Animals and Veterinary Public Health, University of Veterinary Medicine Vienna, Vienna, Austria
| | - Samuel Gebremedhn
- Department of Biomedical Sciences, Animal Reproduction and Biotechnology Laboratory, Colorado State University, Fort Collins, CO, United States
| | - Dawit Tesfaye
- Department of Biomedical Sciences, Animal Reproduction and Biotechnology Laboratory, Colorado State University, Fort Collins, CO, United States
| | | | | | | | - Dennis Miskel
- Institute of Animal Sciences, Animal Breeding, University of Bonn, Bonn, Germany
| | - Nares Trakooljul
- Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Klaus Wimmers
- Research Institute for Farm Animal Biology (FBN), Dummerstorf, Germany
| | - Michael Hoelker
- Department of Animal Science, Biotechnology and Reproduction of Farm Animals, University of Göttingen, Göttingen, Germany
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2
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Terekhanova NV, Karpova A, Liang WW, Strzalkowski A, Chen S, Li Y, Southard-Smith AN, Iglesia MD, Wendl MC, Jayasinghe RG, Liu J, Song Y, Cao S, Houston A, Liu X, Wyczalkowski MA, Lu RJH, Caravan W, Shinkle A, Naser Al Deen N, Herndon JM, Mudd J, Ma C, Sarkar H, Sato K, Ibrahim OM, Mo CK, Chasnoff SE, Porta-Pardo E, Held JM, Pachynski R, Schwarz JK, Gillanders WE, Kim AH, Vij R, DiPersio JF, Puram SV, Chheda MG, Fuh KC, DeNardo DG, Fields RC, Chen F, Raphael BJ, Ding L. Epigenetic regulation during cancer transitions across 11 tumour types. Nature 2023; 623:432-441. [PMID: 37914932 PMCID: PMC10632147 DOI: 10.1038/s41586-023-06682-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 09/27/2023] [Indexed: 11/03/2023]
Abstract
Chromatin accessibility is essential in regulating gene expression and cellular identity, and alterations in accessibility have been implicated in driving cancer initiation, progression and metastasis1-4. Although the genetic contributions to oncogenic transitions have been investigated, epigenetic drivers remain less understood. Here we constructed a pan-cancer epigenetic and transcriptomic atlas using single-nucleus chromatin accessibility data (using single-nucleus assay for transposase-accessible chromatin) from 225 samples and matched single-cell or single-nucleus RNA-sequencing expression data from 206 samples. With over 1 million cells from each platform analysed through the enrichment of accessible chromatin regions, transcription factor motifs and regulons, we identified epigenetic drivers associated with cancer transitions. Some epigenetic drivers appeared in multiple cancers (for example, regulatory regions of ABCC1 and VEGFA; GATA6 and FOX-family motifs), whereas others were cancer specific (for example, regulatory regions of FGF19, ASAP2 and EN1, and the PBX3 motif). Among epigenetically altered pathways, TP53, hypoxia and TNF signalling were linked to cancer initiation, whereas oestrogen response, epithelial-mesenchymal transition and apical junction were tied to metastatic transition. Furthermore, we revealed a marked correlation between enhancer accessibility and gene expression and uncovered cooperation between epigenetic and genetic drivers. This atlas provides a foundation for further investigation of epigenetic dynamics in cancer transitions.
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Affiliation(s)
- Nadezhda V Terekhanova
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Alla Karpova
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Wen-Wei Liang
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | | | - Siqi Chen
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Yize Li
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Austin N Southard-Smith
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Michael D Iglesia
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Michael C Wendl
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Reyka G Jayasinghe
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Jingxian Liu
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Yizhe Song
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Song Cao
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Andrew Houston
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Xiuting Liu
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
| | - Matthew A Wyczalkowski
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Rita Jui-Hsien Lu
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Wagma Caravan
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Andrew Shinkle
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
| | - Nataly Naser Al Deen
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - John M Herndon
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Jacqueline Mudd
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
| | - Cong Ma
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Hirak Sarkar
- Department of Computer Science, Princeton University, Princeton, NJ, USA
| | - Kazuhito Sato
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Omar M Ibrahim
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Chia-Kuei Mo
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA
| | - Sara E Chasnoff
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Eduard Porta-Pardo
- Josep Carreras Leukaemia Research Institute, Barcelona, Spain
- Barcelona Supercomputing Center, Barcelona, Spain
| | - Jason M Held
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Russell Pachynski
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Julie K Schwarz
- Department of Radiation Oncology, Washington University in St Louis, St Louis, MO, USA
| | - William E Gillanders
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Albert H Kim
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
- Department of Neurological Surgery, Washington University in St Louis, St Louis, MO, USA
| | - Ravi Vij
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - John F DiPersio
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Sidharth V Puram
- Department of Otolaryngology-Head & Neck Surgery, Washington University in St Louis, St Louis, MO, USA
| | - Milan G Chheda
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Katherine C Fuh
- Department of Obstetrics and Gynecology, University of California, San Francisco, San Francisco, CA, USA
- Department of Obstetrics and Gynecology, Washington University in St Louis, St Louis, MO, USA
| | - David G DeNardo
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA
| | - Ryan C Fields
- Department of Surgery, Washington University in St Louis, St Louis, MO, USA.
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA.
| | - Feng Chen
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA.
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA.
| | - Benjamin J Raphael
- Department of Computer Science, Princeton University, Princeton, NJ, USA.
| | - Li Ding
- Department of Medicine, Washington University in St Louis, St Louis, MO, USA.
- McDonnell Genome Institute, Washington University in St Louis, St Louis, MO, USA.
- Siteman Cancer Center, Washington University in St Louis, St Louis, MO, USA.
- Department of Genetics, Washington University in St Louis, St Louis, MO, USA.
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3
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Song J, Li L, Fang Y, Lin Y, Wu L, Wan W, Wei G, Hua F, Ying J. FOXN Transcription Factors: Regulation and Significant Role in Cancer. Mol Cancer Ther 2023; 22:1028-1039. [PMID: 37566097 DOI: 10.1158/1535-7163.mct-23-0208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Revised: 06/29/2023] [Accepted: 07/19/2023] [Indexed: 08/12/2023]
Abstract
A growing number of studies have demonstrated that cancer development is closely linked to abnormal gene expression, including alterations in the transcriptional activity of transcription factors. The Forkhead box class N (FOXN) proteins FOXN1-6 form a highly conserved class of transcription factors, which have been shown in recent years to be involved in the regulation of malignant progression in a variety of cancers. FOXNs mediate cell proliferation, cell-cycle progression, cell differentiation, metabolic homeostasis, embryonic development, DNA damage repair, tumor angiogenesis, and other critical biological processes. Therefore, transcriptional dysregulation of FOXNs can directly affect cellular physiology and promote cancer development. Numerous studies have demonstrated that the transcriptional activity of FOXNs is regulated by protein-protein interactions, microRNAs (miRNA), and posttranslational modifications (PTM). However, the mechanisms underlying the molecular regulation of FOXNs in cancer development are unclear. Here, we reviewed the molecular regulatory mechanisms of FOXNs expression and activity, their role in the malignant progression of tumors, and their value for clinical applications in cancer therapy. This review may help design experimental studies involving FOXN transcription factors, and enhance their therapeutic potential as antitumor targets.
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Affiliation(s)
- Jiali Song
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
| | - Longshan Li
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
| | - Yang Fang
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
| | - Yue Lin
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
| | - Luojia Wu
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
| | - Wei Wan
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
| | - Gen Wei
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
| | - Fuzhou Hua
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
| | - Jun Ying
- Department of Anesthesiology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, P.R. China
- Key Laboratory of Anesthesiology of Jiangxi Province, Nanchang City, Jiangxi Province, P.R. China
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4
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Brown JS. Comparison of Oncogenes, Tumor Suppressors, and MicroRNAs Between Schizophrenia and Glioma: The Balance of Power. Neurosci Biobehav Rev 2023; 151:105206. [PMID: 37178944 DOI: 10.1016/j.neubiorev.2023.105206] [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: 11/29/2022] [Revised: 04/25/2023] [Accepted: 04/30/2023] [Indexed: 05/15/2023]
Abstract
The risk of cancer in schizophrenia has been controversial. Confounders of the issue are cigarette smoking in schizophrenia, and antiproliferative effects of antipsychotic medications. The author has previously suggested comparison of a specific cancer like glioma to schizophrenia might help determine a more accurate relationship between cancer and schizophrenia. To accomplish this goal, the author performed three comparisons of data; the first a comparison of conventional tumor suppressors and oncogenes between schizophrenia and cancer including glioma. This comparison determined schizophrenia has both tumor-suppressive and tumor-promoting characteristics. A second, larger comparison between brain-expressed microRNAs in schizophrenia with their expression in glioma was then performed. This identified a core carcinogenic group of miRNAs in schizophrenia offset by a larger group of tumor-suppressive miRNAs. This proposed "balance of power" between oncogenes and tumor suppressors could cause neuroinflammation. This was assessed by a third comparison between schizophrenia, glioma and inflammation in asbestos-related lung cancer and mesothelioma (ALRCM). This revealed that schizophrenia shares more oncogenic similarity to ALRCM than glioma.
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5
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Yang H, Li M, Qi Y. FOXN3 inhibits the progression of ovarian cancer through negatively regulating the expression of RPS15A. Hum Cell 2023; 36:1120-1134. [PMID: 37016167 DOI: 10.1007/s13577-023-00876-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2022] [Accepted: 02/05/2023] [Indexed: 04/06/2023]
Abstract
Ovarian cancer is the second most common cause of gynecological cancer death and has a high recurrence rate. FOXN3, a transcription inhibitor belonging to FOX family, has anti-tumor effects on several cancers. Bioinformatics analysis revealed that the expression of FOXN3 was downregulated in ovarian cancer specimens. However, the role of FOXN3 in ovarian cancer remains unclear. Herein, we investigated the role of FOXN3 in ovarian cancer using OVCAR3 and A2780 cells. Flow cytometry and CCK-8 analysis showed that overexpression of FOXN3 inhibited the proliferation and cell cycle progression of OVCAR3 cells. Cell invasion and migration abilities were decreased by FOXN3 according to transwell and wound healing assays. The suppression of FOXN3 on angiogenesis in OVCAR3 cells was evidenced by reduced vessel formation and VEGFA protein expression. Taken together, FOXN3 had an inhibitory effect on the proliferation, migration, invasion and angiogenesis of OVCAR3 cells, while its knockdown exhibited an opposite effect in A2780 cells. By inoculation of FOXN3-overexpressing cells into nude mice, tumorigenesis assay demonstrated that FOXN3 could delay the growth of ovarian cancer cells in vivo. The interaction between FOXN3 and RPS15A was preliminarily explored via dual-luciferases assay and ChIP. FOXN3 was confirmed to bind to the promoter (at - 1588/- 1581 and - 1476/- 1467) of gene RPS15A and inhibit its transcriptional expression. We further found that overexpression of RPS15A diminished the inhibition of FOXN3 on ovarian cancer cell malignant behaviors. These findings indicate that FOXN3 negatively regulates the expression of RPS15A and thus suppresses the progression of ovarian cancer.
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Affiliation(s)
- Hua Yang
- Department of Ultrasound, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Mingyu Li
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China
| | - Yue Qi
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, 36 Sanhao Street, Heping District, Shenyang, 110004, Liaoning, China.
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Zhu X, Huang B, Zhao F, Lian J, He L, Zhang Y, Ji L, Zhang J, Yan X, Zeng T, Ma C, Liang Y, Zhang C, Lin J. p38-mediated FOXN3 phosphorylation modulates lung inflammation and injury through the NF-κB signaling pathway. Nucleic Acids Res 2023; 51:2195-2214. [PMID: 36794705 PMCID: PMC10018351 DOI: 10.1093/nar/gkad057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 12/23/2022] [Accepted: 01/19/2023] [Indexed: 02/17/2023] Open
Abstract
NF-κB activates the primary inflammatory response pathway responsible for methicillin-resistant Staphylococcus aureus (MRSA)-induced lung inflammation and injury. Here, we report that the Forkhead box transcription factor FOXN3 ameliorates MRSA-induced pulmonary inflammatory injury by inactivating NF-κB signaling. FOXN3 competes with IκBα for binding to heterogeneous ribonucleoprotein-U (hnRNPU), thereby blocking β-TrCP-mediated IκBα degradation and leading to NF-κB inactivation. FOXN3 is directly phosphorylated by p38 at S83 and S85 residues, which induces its dissociation from hnRNPU, thus promoting NF-κB activation. After dissociation, the phosphorylated FOXN3 becomes unstable and undergoes proteasomal degradation. Additionally, hnRNPU is essential for p38-mediated FOXN3 phosphorylation and subsequent phosphorylation-dependent degradation. Functionally, genetic ablation of FOXN3 phosphorylation results in strong resistance to MRSA-induced pulmonary inflammatory injury. Importantly, FOXN3 phosphorylation is clinically positively correlated with pulmonary inflammatory disorders. This study uncovers a previously unknown regulatory mechanism underpinning the indispensable role of FOXN3 phosphorylation in the inflammatory response to pulmonary infection.
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Affiliation(s)
- Xinxing Zhu
- Correspondence may also be addressed to Xinxing Zhu.
| | | | - Fengting Zhao
- Henan Joint International Research Laboratory of Stem Cell Medicine, School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China
| | - Jie Lian
- Henan Joint International Research Laboratory of Stem Cell Medicine, School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China
- Stem Cells and Biotherapy Engineering Research Center of Henan, National Joint Engineering Laboratory of Stem Cells and Biotherapy, School of Life Science and Technology, Xinxiang Medical University, Xinxiang 453003, China
| | - Lixiang He
- Department of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang 453003, China
| | - Yangxia Zhang
- Henan Joint International Research Laboratory of Stem Cell Medicine, School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China
| | - Longkai Ji
- Henan Joint International Research Laboratory of Stem Cell Medicine, School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China
| | - Jinghang Zhang
- Department of Pathology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang 453003, China
| | - Xin Yan
- Translational Neurodegeneration Section Albrecht-Kossel, Department of Neurology, University Medical Center Rostock, Rostock 18147, Germany
| | - Taoling Zeng
- State Key Laboratory ofCellular Stress Biology, Innovation Center for Cell Biology, School of LifeSciences, Xiamen University, Fujian 361102, China
| | - Chunya Ma
- Henan Joint International Research Laboratory of Stem Cell Medicine, School of Medical Engineering, Xinxiang Medical University, Xinxiang 453003, China
| | - Yinming Liang
- Laboratory of Genetic Regulators in the Immune System, Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang 453003, China
| | - Chen Zhang
- Department of Neurobiology, School of Basic Medical Sciences, Beijing Key Laboratory of Neural Regeneration and Repair, Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing 100069, China
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7
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Li B, Li H, Zhang L, Ren T, Meng J. Expression analysis of human glioma susceptibility gene and P53 in human glioma and its clinical significance based on bioinformatics. ANNALS OF TRANSLATIONAL MEDICINE 2023; 11:53. [PMID: 36819578 PMCID: PMC9929792 DOI: 10.21037/atm-22-5646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 12/07/2022] [Indexed: 01/18/2023]
Abstract
Background The exact mechanism of glioblastoma multiforme (GBM) remains unclear. This study was to clarify the expression of P53 in glioma and its molecular mechanism, and to explore the possibility of P53 as a potential therapeutic target of glioma and its clinical application value, so as to provide a new theoretical basis for the treatment of glioma. Methods Firstly, a dataset was established to analyze the expression of P53 in different stages of glioma and its relationship with prognosis by using The Cancer Genome Atlas (TCGA) database, RNA-seq data, and survival data of glioma and normal control samples in gene expression profiling and interactive analysis (GEPIA). The genes co-expressed with P53 were screened out, their differential expression between glioma and normal control group was analyzed, and their functions were analyzed by enrichment analysis. The TGGA database was used for data verification and analysis. The correlation between P53 expression and clinicopathological parameters was analyzed. Kaplan-Meier survival analysis was used to analyze the relationship between P53 expression and overall survival (OS) and progression-free survival (PFS) of glioma patients, and Cox regression analysis was used to analyze the independent factors affecting OS and PFS of glioma patients. Results The results of TCGA data analysis were as follows: The expression level of P53 was different from that of different stages of glioma, namely, the expression level of P53 between grade II and grade III, grade III and grade IV, and grade II and grade IV were significantly different (P<0.05). The results of P53 gene-related survival analysis showed that KNL1 high expression and low expression were significantly different in OS, and the high expression group was associated with poor prognosis (P<0.05). Conclusions The P53 expression can be an effective biological indicator of poor prognosis of glioma.
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Affiliation(s)
- Baiyu Li
- Department of Neurology Care Ward, Gansu Provincial Hospital, Lanzhou, China
| | - Hang Li
- Department of Geriatrics, Chengdu Eighth People's Hospital (Geriatric Hospital of Chengdu Medical College), Chengdu, China
| | - Linghui Zhang
- Department of Internal Medicine, Department of Clinical Medicine, Shijiazhuang Medical College, Shijiazhuang, China
| | - Taowen Ren
- Department of Neurology Care Ward, Gansu Provincial Hospital, Lanzhou, China
| | - Jie Meng
- Department of Psychiatry, The Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, China
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8
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Ma Y, Zeng W, Ba Y, Luo Q, Ou Y, Liu R, Ma J, Tang Y, Hu J, Wang H, Tang X, Mu Y, Li Q, Chen Y, Ran Y, Xiang Z, Xu H. A single-cell transcriptomic atlas characterizes the silk-producing organ in the silkworm. Nat Commun 2022; 13:3316. [PMID: 35680954 PMCID: PMC9184679 DOI: 10.1038/s41467-022-31003-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 05/30/2022] [Indexed: 01/07/2023] Open
Abstract
The silk gland of the domesticated silkworm Bombyx mori, is a remarkable organ that produces vast amounts of silk with exceptional properties. Little is known about which silk gland cells execute silk protein synthesis and its precise spatiotemporal control. Here, we use single-cell RNA sequencing to build a comprehensive cell atlas of the silkworm silk gland, consisting of 14,972 high-quality cells representing 10 distinct cell types, in three early developmental stages. We annotate all 10 cell types and determine their distributions in each region of the silk gland. Additionally, we decode the developmental trajectory and gene expression status of silk gland cells. Finally, we discover marker genes involved in the regulation of silk gland development and silk protein synthesis. Altogether, this work reveals the heterogeneity of silkworm silk gland cells and their gene expression dynamics, affording a deeper understanding of silk-producing organs at the single-cell level. The molecular underpinning of silk-producing organs is not well characterized. Here the authors use single-cell RNA sequencing to build an atlas of the silkworm silk gland and reveal the heterogeneity of silk gland cells.
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Affiliation(s)
- Yan Ma
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Wenhui Zeng
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Yongbing Ba
- Shanghai OE Biotech. Co., Ltd., Shanghai, 201212, China
| | - Qin Luo
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Yao Ou
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Rongpeng Liu
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Jingwen Ma
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Yiyun Tang
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Jie Hu
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Haomiao Wang
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Xuan Tang
- Shanghai OE Biotech. Co., Ltd., Shanghai, 201212, China
| | - Yuanyuan Mu
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Qingjun Li
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Yuqin Chen
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Yiting Ran
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Zhonghuai Xiang
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China
| | - Hanfu Xu
- State Key Laboratory of Silkworm Genome Biology, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing, 400715, China.
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