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Quirion L, Robert A, Boulais J, Huang S, Bernal Astrain G, Strakhova R, Jo CH, Kherdjemil Y, Faubert D, Thibault MP, Kmita M, Baskin JM, Gingras AC, Smith MJ, Côté JF. Mapping the global interactome of the ARF family reveals spatial organization in cellular signaling pathways. J Cell Sci 2024; 137:jcs262140. [PMID: 38606629 PMCID: PMC11166204 DOI: 10.1242/jcs.262140] [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: 03/23/2024] [Accepted: 04/08/2024] [Indexed: 04/13/2024] Open
Abstract
The ADP-ribosylation factors (ARFs) and ARF-like (ARL) GTPases serve as essential molecular switches governing a wide array of cellular processes. In this study, we used proximity-dependent biotin identification (BioID) to comprehensively map the interactome of 28 out of 29 ARF and ARL proteins in two cellular models. Through this approach, we identified ∼3000 high-confidence proximal interactors, enabling us to assign subcellular localizations to the family members. Notably, we uncovered previously undefined localizations for ARL4D and ARL10. Clustering analyses further exposed the distinctiveness of the interactors identified with these two GTPases. We also reveal that the expression of the understudied member ARL14 is confined to the stomach and intestines. We identified phospholipase D1 (PLD1) and the ESCPE-1 complex, more precisely, SNX1, as proximity interactors. Functional assays demonstrated that ARL14 can activate PLD1 in cellulo and is involved in cargo trafficking via the ESCPE-1 complex. Overall, the BioID data generated in this study provide a valuable resource for dissecting the complexities of ARF and ARL spatial organization and signaling.
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Affiliation(s)
- Laura Quirion
- Montreal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada
- Molecular Biology Programs, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Amélie Robert
- Montreal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada
| | - Jonathan Boulais
- Montreal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada
| | - Shiying Huang
- Department of Chemistry and Chemical Biology and Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
| | - Gabriela Bernal Astrain
- Molecular Biology Programs, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Regina Strakhova
- Molecular Biology Programs, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Chang Hwa Jo
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Yacine Kherdjemil
- Montreal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada
| | - Denis Faubert
- Montreal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada
| | | | - Marie Kmita
- Montreal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada
- Molecular Biology Programs, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Department of Medicine, Université de Montréal, Montréal, QC H3C 3J7, Canada
- Department of Experimental Medicine, McGill University, Montréal, QC H3G 2M1, Canada
| | - Jeremy M. Baskin
- Department of Chemistry and Chemical Biology and Weill Institute for Cell and Molecular Biology, Cornell University, Ithaca, NY 14853, USA
| | - Anne-Claude Gingras
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON M5G 1X5, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada
| | - Matthew J. Smith
- Institute for Research in Immunology and Cancer, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Jean-François Côté
- Montreal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada
- Molecular Biology Programs, Université de Montréal, Montréal, QC H3T 1J4, Canada
- Department of Medicine, Université de Montréal, Montréal, QC H3C 3J7, Canada
- Department of Anatomy and Cell Biology, McGill University, Montréal, QC H3A 0C7, Canada
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Quirion L, Robert A, Boulais J, Huang S, Bernal Astrain G, Strakhova R, Jo CH, Kherdjemil Y, Thibault MP, Faubert D, Kmita M, Baskin JM, Gingras AC, Smith MJ, Cote JF. Mapping the global interactome of the ARF family reveals spatial organization in cellular signaling pathways. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.03.01.530598. [PMID: 36909472 PMCID: PMC10002736 DOI: 10.1101/2023.03.01.530598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
The ADP-ribosylation factors (ARFs) and ARF-like (ARLs) GTPases serve as essential molecular switches governing a wide array of cellular processes. In this study, we utilized proximity-dependent biotin identification (BioID) to comprehensively map the interactome of 28 out of 29 ARF and ARL proteins in two cellular models. Through this approach, we identified ~3000 high-confidence proximal interactors, enabling us to assign subcellular localizations to the family members. Notably, we uncovered previously undefined localizations for ARL4D and ARL10. Clustering analyses further exposed the distinctiveness of the interactors identified with these two GTPases. We also reveal that the expression of the understudied member ARL14 is confined to the stomach and intestines. We identified phospholipase D1 (PLD1) and the ESCPE-1 complex, more precisely SNX1, as proximity interactors. Functional assays demonstrated that ARL14 can activate PLD1 in cellulo and is involved in cargo trafficking via the ESCPE-1 complex. Overall, the BioID data generated in this study provide a valuable resource for dissecting the complexities of ARF and ARL spatial organization and signaling.
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Wan C, Pei J, Wang D, Hu J, Tang Z, Zhao W. Identification of m 6A methylation-related genes in cerebral ischaemia‒reperfusion of Breviscapus therapy based on bioinformatics methods. BMC Med Genomics 2023; 16:210. [PMID: 37670341 PMCID: PMC10478429 DOI: 10.1186/s12920-023-01651-3] [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: 05/05/2023] [Accepted: 08/29/2023] [Indexed: 09/07/2023] Open
Abstract
BACKGROUND Cerebral ischaemia‒reperfusion (I/R) frequently causes late-onset neuronal damage. Breviscapine promotes autophagy in microvascular endothelial cells in I/R and can inhibit oxidative damage and apoptosis. However, the mediation mechanism of breviscapine on neuronal cell death is unclear. METHODS First, transcriptome sequencing was performed on three groups of mice: the neuronal normal group (Control group), the oxygen-glucose deprivation/ reoxygenation group (OGD/R group) and the breviscapine administration group (Therapy group). Differentially expressed genes (DEGs) between the OGD/R and control groups and between the Therapy and OGD/R groups were obtained by the limma package. N6-methyladenosine (m6A) methylation-related DEGs were selected by Pearson correlation analysis. Then, prediction and confirmation of drug targets were performed by Swiss Target Prediction and UniProt Knowledgebase (UniProtKB) database, and key genes were obtained by Pearson correlation analysis between m6A-related DEGs and drug target genes. Next, gene set enrichment analysis (GSEA) and Ingenuity pathway analysis (IPA) were used to obtain the pathways of key genes. Finally, a circRNA-miRNA‒mRNA network was constructed based on the mRNAs, circRNAs and miRNAs. RESULTS A total of 2250 DEGs between the OGD/R and control groups and 757 DEGs between the Therapy and OGD/R groups were selected by differential analysis. A total of 7 m6A-related DEGs, including Arl4d, Gm10653, Gm1113, Kcns3, Olfml2a, Stk26 and Tfcp2l1, were obtained by Pearson correlation analysis. Four key genes (Tfcp2l1, Kcns3, Olfml2a and Arl4d) were acquired, and GSEA showed that these key genes significantly participated in DNA repair, e2f targets and the g2m checkpoint. IPA revealed that Tfcp2l1 played a significant role in human embryonic stem cell pluripotency. The circRNA-miRNA‒mRNA network showed that mmu_circ_0001258 regulated Tfcp2l1 by mmu-miR-301b-3p. CONCLUSIONS In conclusion, four key genes, Tfcp2l1, Kcns3, Olfml2a and Arl4d, significantly associated with the treatment of OGD/R by breviscapine were identified, which provides a theoretical basis for clinical trials.
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Affiliation(s)
- Cheng Wan
- Department of Interventional Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Jingchun Pei
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Dan Wang
- Department of Organ Transplantation Centre, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Jihong Hu
- Department of Interventional Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China
| | - Zhiwei Tang
- Department of Neurosurgery, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
| | - Wei Zhao
- Department of Interventional Radiology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China.
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The ADP-Ribosylation Factor 4d Restricts Regulatory T-Cell Induction via Control of IL-2 Availability. Cells 2022; 11:cells11172639. [PMID: 36078047 PMCID: PMC9454872 DOI: 10.3390/cells11172639] [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: 05/27/2022] [Revised: 08/17/2022] [Accepted: 08/23/2022] [Indexed: 11/21/2022] Open
Abstract
Interleukin-2 is central to the induction and maintenance of both natural (nTreg) and induced Foxp3-expressing regulatory T cells (iTreg). Thus, signals that modulate IL-2 availability may, in turn, also influence Treg homeostasis. Using global knockout and cell-specific knockout mouse models, we evaluated the role of the small GTPase ADP-ribosylation factor 4d (Arl4d) in regulatory T-cell biology. We show that the expression of Arl4d in T cells restricts both IL-2 production and responsiveness to IL-2, as measured by the phosphorylation of STAT5. Arl4d-deficient CD4 T cells converted more efficiently into Foxp3+ iTreg in vitro in the presence of αCD3ε and TGFβ, which was associated with their enhanced IL-2 secretion. As such, Arl4d−/− CD4 T cells induced significantly less colonic inflammation and lymphocytic infiltration in a model of transfer colitis. Thus, our data reveal a negative regulatory role for Arl4d in CD4 T-cell biology, limiting iTreg conversion via the restriction of IL-2 production, leading to reduced induction of Treg from conventional CD4 T cells.
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Huang Z, Lan T, Wang J, Chen Z, Zhang X. Identification and validation of seven RNA binding protein genes as a prognostic signature in oral cavity squamous cell carcinoma. Bioengineered 2021; 12:7248-7262. [PMID: 34585646 PMCID: PMC8806873 DOI: 10.1080/21655979.2021.1974328] [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] [Indexed: 12/16/2022] Open
Abstract
RNA binding proteins (RBPs) play a pivotal role in various biological processes, and aberrant expression of RBPs is closely associated with tumorigenesis and progression. However, the role of RBPs in oral cavity squamous cell carcinoma (OCSCC) is yet unveiled. In this study, RNA sequences and clinical information of OCSCC samples were acquired from The Cancer Genome Atlas (TCGA) database. A total of 650 RBPs, with significantly different expression between healthy and OCSCC samples, were identified using the limma package. A prognostic model was constructed by Lasso-Cox analysis, resulting in the determination of 7 prognosis-related RBPs: ERMP1, RNASE3, ARL4D, CSRP2, ULK1, ZC3H12D, and RPS28. Based on the prognostic model, the risk scores of the OCSCC samples were calculated. The capability of the prognostic model was further evaluated using the receiver operating characteristic curve (ROC). The areas under ROC were 0.764, 0.771, and 0.809 at 1, 3 and 5-year respectively in the TCGA dataset. Internal and external validation showed satisfactory predictive capability for prognosis in OCSCC. In addition, a nomogram was created to graphically present the model. To further validate the analytical data, qRT-PCR was performed on normal and OCSCC cell lines. The mRNA expression of the 7 prognostic genes was in accordance with the analytical results. Functional analysis and gene connection networks were used to describe the biological functions and underlying interactions among the 7 prognostic genes Overall, 7 prognosis-related RBPs were identified, which could be used to predict clinical prognosis and to identify potential therapeutic targets for OCSCC.
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Affiliation(s)
- Zijing Huang
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Province Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Tianjun Lan
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou China
| | - Junjie Wang
- Department of Stomatology, The First Affiliated Hospital of Jinan University, School of Stomatology, Jinan University, Guangzhou China
| | - Zhifeng Chen
- Department of Stomatology, Nanfang Hospital, Southern Medical University, Guangzhou China.,Department of Stomatology, Linzhi People's Hospital, Tibet China
| | - Xiaolei Zhang
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Province Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, China
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