1
|
Bano N, Kainat KM, Ansari MI, Pal A, Sarkar S, Sharma PK. Identification of chemoresistance targets in doxorubicin-resistant lung adenocarcinoma cells using LC-MS/MS-based proteomics. J Chemother 2024:1-15. [PMID: 39101797 DOI: 10.1080/1120009x.2024.2385267] [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: 03/22/2024] [Revised: 07/03/2024] [Accepted: 07/24/2024] [Indexed: 08/06/2024]
Abstract
Acquired chemoresistance remains a significant challenge in the clinics as most of the treated cancers eventually emerge as hard-to-treat phenotypes. Therefore, identifying chemoresistance targets is highly warranted to manage the disease better. In this study, we employed a label-free LC-MS/MS-based quantitative proteomics analysis to identify potential targets and signaling pathways underlying acquired chemoresistance in a sub-cell line (A549DR) derived from the parental lung adenocarcinoma cells (A549) treated with gradually increasing doses of doxorubicin (DOX). Our proteomics analysis identified 146 upregulated and 129 downregulated targets in A549DR cells. The KEGG pathway and Gene ontology (GO) analysis of differentially expressed upregulated and downregulated proteins showed that most abundant upregulated pathways were related to metabolic pathways, cellular senescence, cell cycle, and p53 signaling. Meanwhile, the downregulated pathways were related to spliceosome, nucleotide metabolism, DNA replication, nucleotide excision repair, and nuclear-cytoplasmic transport. Further, STRING analysis of upregulated biological processes showed a protein-protein interaction (PPI) between CDK1, AKT2, SRC, STAT1, HDAC1, FDXR, FDX1, NPC1, ALDH2, GPx1, CDK4, and B2M, proteins. The identified proteins in this study might be the potential therapeutic targets for mitigating DOX resistance.
Collapse
Affiliation(s)
- Nuzhat Bano
- Food Toxicology Group, Food, Drug & Chemical, Environment, and Systems Toxicology (FEST) Division, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - K M Kainat
- Food Toxicology Group, Food, Drug & Chemical, Environment, and Systems Toxicology (FEST) Division, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Mohammad Imran Ansari
- Food Toxicology Group, Food, Drug & Chemical, Environment, and Systems Toxicology (FEST) Division, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Anjali Pal
- Food Toxicology Group, Food, Drug & Chemical, Environment, and Systems Toxicology (FEST) Division, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| | - Sana Sarkar
- Systems Toxicology Group, Food, Drug & Chemical, Environment and Systems Toxicology (FEST) Division, CSIR- Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
| | - Pradeep Kumar Sharma
- Food Toxicology Group, Food, Drug & Chemical, Environment, and Systems Toxicology (FEST) Division, CSIR-Indian Institute of Toxicology Research, Lucknow, Uttar Pradesh, India
- Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India
| |
Collapse
|
2
|
Zhang Z, Kumar V, Dybkov O, Will CL, Urlaub H, Stark H, Lührmann R. Cryo-EM analyses of dimerized spliceosomes provide new insights into the functions of B complex proteins. EMBO J 2024; 43:1065-1088. [PMID: 38383864 PMCID: PMC10943123 DOI: 10.1038/s44318-024-00052-1] [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: 09/27/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 02/23/2024] Open
Abstract
The B complex is a key intermediate stage of spliceosome assembly. To improve the structural resolution of monomeric, human spliceosomal B (hB) complexes and thereby generate a more comprehensive hB molecular model, we determined the cryo-EM structure of B complex dimers formed in the presence of ATP γ S. The enhanced resolution of these complexes allows a finer molecular dissection of how the 5' splice site (5'ss) is recognized in hB, and new insights into molecular interactions of FBP21, SNU23 and PRP38 with the U6/5'ss helix and with each other. It also reveals that SMU1 and RED are present as a heterotetrameric complex and are located at the interface of the B dimer protomers. We further show that MFAP1 and UBL5 form a 5' exon binding channel in hB, and elucidate the molecular contacts stabilizing the 5' exon at this stage. Our studies thus yield more accurate models of protein and RNA components of hB complexes. They further allow the localization of additional proteins and protein domains (such as SF3B6, BUD31 and TCERG1) whose position was not previously known, thereby uncovering new functions for B-specific and other hB proteins during pre-mRNA splicing.
Collapse
Affiliation(s)
- Zhenwei Zhang
- Department of Structural Dynamics, Max-Planck-Institute for Multidisciplinary Sciences, Am Fassberg 11, 37077, Göttingen, Germany
- State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Vinay Kumar
- Cellular Biochemistry, Max-Planck-Institute for Multidisciplinary Sciences, Am Fassberg 11, 37077, Göttingen, Germany
| | - Olexandr Dybkov
- Cellular Biochemistry, Max-Planck-Institute for Multidisciplinary Sciences, Am Fassberg 11, 37077, Göttingen, Germany
- Bioanalytical Mass Spectrometry, Max-Planck-Institute for Multidisciplinary Sciences, Am Fassberg 11, 37077, Göttingen, Germany
| | - Cindy L Will
- Cellular Biochemistry, Max-Planck-Institute for Multidisciplinary Sciences, Am Fassberg 11, 37077, Göttingen, Germany
| | - Henning Urlaub
- Bioanalytical Mass Spectrometry, Max-Planck-Institute for Multidisciplinary Sciences, Am Fassberg 11, 37077, Göttingen, Germany
- Bioanalytics Group, Institute for Clinical Chemistry, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany
| | - Holger Stark
- Department of Structural Dynamics, Max-Planck-Institute for Multidisciplinary Sciences, Am Fassberg 11, 37077, Göttingen, Germany.
| | - Reinhard Lührmann
- Cellular Biochemistry, Max-Planck-Institute for Multidisciplinary Sciences, Am Fassberg 11, 37077, Göttingen, Germany.
| |
Collapse
|
3
|
Yang P, Liu H, Li Y, Gao Q, Chen X, Chang J, Li Y, Chen S, Dong R, Wu H, Liu C, Liu G. Overexpression of TCERG1 as a prognostic marker in hepatocellular carcinoma: A TCGA data-based analysis. Front Genet 2022; 13:959832. [PMID: 36299588 PMCID: PMC9589486 DOI: 10.3389/fgene.2022.959832] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/21/2022] [Indexed: 11/18/2022] Open
Abstract
Objective: Transcription elongation factor 1 (TCERG1) is a nuclear protein consisted of multiple protein structural domains that plays an important role in regulating the transcription, extension, and splicing regulation of RNA polymerase II. However, the prognostic and immunological role of TCERG1 in human cancer remains unknown. In this study, we analyzed the expression of TCERG1 gene in hepatocellular carcinoma (HCC) patients, its clinical significance, and its possible prognostic value by bioinformatics. Methods: RNA sequencing data and clinicopathological characteristics of patients with HCC were collected from TCGA and CCLE databases. The Wilcoxon rank-sum test was used to analyze the expression of TCERG1 in HCC tissues and normal tissues. The protein levels of TCERG1 between normal and liver cancer tissues were analyzed by the Human Protein Atlas Database (HPA) (www.proteinatlas.org). Validation was performed using the Gene Expression Omnibus (GEO) dataset of 167 samples. The expression of TCERG1 in HCC cells were verified by qRT-PCR, and CCK-8, scratch assay and Transwell assay were performed to detect cell proliferation, migration and invasion ability. According to the median value of TCERG1 expression, patients were divided into high and low subgroups. Logistic regression, GSEA enrichment, TME, and single-sample set gene enrichment analysis (ssGSEA) were performed to explore the effects of TCERG1 on liver cancer biological function and immune infiltrates. TCERG1 co-expression networks were studied through the CCLE database and the LinkedOmics database to analyze genes that interact with TCERG1. Results: The expression levels of TCERG1 in HCC patient tissues were significantly higher than in normal tissues. Survival analysis showed that high levels of TCERG1 expression were significantly associated with low survival rates in HCC patients. Multifactorial analysis showed that high TCERG1 expression was an independent risk factor affecting tumor prognosis. This result was also verified in the GEO database. Cellular experiments demonstrated that cell proliferation, migration and invasion were inhibited after silencing of TCERG1 gene expression. Co-expression analysis revealed that CPSF6 and MAML1 expression were positively correlated with TCERG1. GSEA showed that in samples with high TCERG1 expression, relevant signaling pathways associated with cell cycle, apoptosis, pathways in cancer and enriched in known tumors included Wnt signaling pathway, Vegf signaling pathway, Notch signaling pathway, MAPK signaling pathway and MTOR pathways. The expression of TCERG1 was positively correlated with tumor immune infiltrating cells (T helper two cells, T helper cells). Conclusion:TCERG1 gene is highly expressed in hepatocellular carcinoma tissues, which is associated with the poor prognosis of liver cancer, and may be one of the markers for the diagnosis and screening of liver cancer and the prediction of prognosis effect. At the same time, TCERG1 may also become a new target for tumor immunotherapy.
Collapse
Affiliation(s)
- Pan Yang
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| | - Huaifeng Liu
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| | - Yan Li
- Department of Gynecologic Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Qunwei Gao
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| | - Xin Chen
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| | - Junyan Chang
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| | - Yangyang Li
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| | - Shuran Chen
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Rui Dong
- Department of Gastrointestinal Surgery, First Affiliated Hospital of Bengbu Medical College, Bengbu, Anhui, China
| | - Huazhang Wu
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| | - Changqing Liu
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| | - Gaofeng Liu
- School of Life Science, Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical College, Bengbu, China
| |
Collapse
|
4
|
Adema V, Palomo L, Walter W, Mallo M, Hutter S, La Framboise T, Arenillas L, Meggendorfer M, Radivoyevitch T, Xicoy B, Pellagatti A, Haferlach C, Boultwood J, Kern W, Visconte V, Sekeres M, Barnard J, Haferlach T, Solé F, Maciejewski JP. Pathophysiologic and clinical implications of molecular profiles resultant from deletion 5q. EBioMedicine 2022; 80:104059. [PMID: 35617825 PMCID: PMC9130225 DOI: 10.1016/j.ebiom.2022.104059] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 04/28/2022] [Accepted: 04/29/2022] [Indexed: 12/02/2022] Open
Abstract
BACKGROUND Haploinsufficiency (HI) resulting from deletion of the long arm of chromosome 5 [del(5q)] and the accompanied loss of heterozygosity are likely key pathogenic factors in del(5q) myeloid neoplasia (MN) although the consequences of del(5q) have not been yet clarified. METHODS Here, we explored mutations, gene expression and clinical phenotypes of 388 del(5q) vs. 841 diploid cases with MN [82% myelodysplastic syndromes (MDS)]. FINDINGS Del(5q) resulted as founder (better prognosis) or secondary hit (preceded by TP53 mutations). Using Bayesian prediction analyses on 57 HI marker genes we established the minimal del(5q) gene signature that distinguishes del(5q) from diploid cases. Clusters of diploid cases mimicking the del(5q) signature support the overall importance of del(5q) genes in the pathogenesis of MDS in general. Sub-clusters within del(5q) patients pointed towards the inherent intrapatient heterogeneity of HI genes. INTERPRETATION The underlying clonal expansion drive results from a balance between the "HI-driver" genes (e.g., CSNK1A1, CTNNA1, TCERG1) and the proapoptotic "HI-anti-drivers" (e.g., RPS14, PURA, SIL1). The residual essential clonal expansion drive allows for selection of accelerator mutations such as TP53 (denominating poor) and CSNK1A1 mutations (with a better prognosis) which overcome pro-apoptotic genes (e.g., p21, BAD, BAX), resulting in a clonal expansion. In summary, we describe the complete picture of del(5q) MN identifying the crucial genes, gene clusters and clonal hierarchy dictating the clinical course of del(5q) patients. FUNDING Torsten Haferlach Leukemia Diagnostics Foundation. US National Institute of Health (NIH) grants R35 HL135795, R01HL123904, R01 HL118281, R01 HL128425, R01 HL132071, and a grant from Edward P. Evans Foundation.
Collapse
Affiliation(s)
- Vera Adema
- Department of Translational Hematology and Oncology Research, Lerner Research Institute Cleveland Clinic, Taussig Cancer Institute, 9500 Euclid Avenue, Cleveland, OH 44195, USA
| | - Laura Palomo
- Myelodysplastic Syndrome Research Group, Josep Carreras Leukaemia Research Institute, Institut Català d'Oncologia-Hospital Germans Trias i Pujol, Universitat Autonoma de Barcelona, Badalona, Spain
| | | | - Mar Mallo
- Myelodysplastic Syndrome Research Group, Josep Carreras Leukaemia Research Institute, Institut Català d'Oncologia-Hospital Germans Trias i Pujol, Universitat Autonoma de Barcelona, Badalona, Spain
| | | | - Thomas La Framboise
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Leonor Arenillas
- Laboratori de Citologia Hematològica, Servei de Patologia, Hospital del Mar and GRETNHE, Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | | | - Tomas Radivoyevitch
- Department of Translational Hematology and Oncology Research, Lerner Research Institute Cleveland Clinic, Taussig Cancer Institute, 9500 Euclid Avenue, Cleveland, OH 44195, USA
| | - Blanca Xicoy
- Hematology Service, Institut Català d'Oncologia (ICO)-Hospital Germans Trias i Pujol, Institut de Recerca Contra la Leucèmia Josep Carreras, Universitat Autònoma de Barcelona, Badalona, Spain
| | - Andrea Pellagatti
- Blood Cancer UK Molecular Haematology Unit, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford and Oxford BRC Haematology Theme, Oxford, United Kingdom
| | | | - Jacqueline Boultwood
- Blood Cancer UK Molecular Haematology Unit, Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine, University of Oxford and Oxford BRC Haematology Theme, Oxford, United Kingdom
| | | | - Valeria Visconte
- Department of Translational Hematology and Oncology Research, Lerner Research Institute Cleveland Clinic, Taussig Cancer Institute, 9500 Euclid Avenue, Cleveland, OH 44195, USA
| | - Mikkael Sekeres
- Leukemia Program, Department of Hematology and Medical Oncology, Cleveland Clinic, Cleveland Clinic Taussig Cancer Institute, Cleveland, OH, USA
| | - John Barnard
- Department of Quantitative Health Sciences, Cleveland Clinic, Lerner Research Institute, Cleveland, OH, USA
| | | | - Francesc Solé
- Myelodysplastic Syndrome Research Group, Josep Carreras Leukaemia Research Institute, Institut Català d'Oncologia-Hospital Germans Trias i Pujol, Universitat Autonoma de Barcelona, Badalona, Spain
| | - Jaroslaw P Maciejewski
- Department of Translational Hematology and Oncology Research, Lerner Research Institute Cleveland Clinic, Taussig Cancer Institute, 9500 Euclid Avenue, Cleveland, OH 44195, USA.
| |
Collapse
|
5
|
Zhang K, Yin Y, Pei C, Wu C. MicroRNA-124 regulates lens epithelial cell apoptosis by affecting Fas alternative splicing by targeting polypyrimidine tract-binding protein in age-related cataract. Clin Exp Ophthalmol 2021; 49:591-605. [PMID: 34008270 DOI: 10.1111/ceo.13946] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/07/2021] [Accepted: 05/14/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Age-related cataract (ARC) is a primary cause of visual blindness worldwide. Lens epithelial cell (LEC) apoptosis, in which Fas plays an essential role, is a vital cytological basis for cataractogenesis. However, the regulatory mechanism of Fas-dependent LEC apoptosis is not well understood. This study aimed to investigate whether MicroRNA (miRNA)-124 can regulate LEC apoptosis by targeting polypyrimidine tract-binding protein (PTB) and thereby affecting Fas alternative splicing in ARC. METHODS Lens capsule samples from patients with ARC and cornea donors with a transparent lens were collected. HLE-B3 cells were cultured and treated with hydrogen peroxide (H2 O2 ) to establish an apoptosis model in LECs. The expression of miRNA-124, PTB, Fas, and Fas isoforms in tissues and cell lines was assessed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR), western blotting, polyacrylamide gel electrophoresis, and flow cytometry. The miRNA-124 mimic and inhibitor were transfected into HLE-B3 cells, and the effects of the miRNA-124/PTB/Fas pathway in LECs were assessed by analysis of their related targets. RESULTS High expression of miRNA-124 and membrane Fas (mFas) mRNA and decreased PTB expression were observed in the lens capsule samples. In cells undergoing H2 O2 -induced apoptosis, mFas expression was increased, accompanied by decreased PTB and increased miRNA-124 expression. Subsequently, miRNA-124 upregulation suppressed PTB expression, elevated the mFas level without affecting total Fas expression and promoted apoptosis; miRNA-124 downregulation exerted the opposite effects. CONCLUSION This study revealed that miRNA-124 promotes LEC apoptosis in ARC by upregulating mFas through targeted inhibition of PTB. Moreover, the identification of the miRNA-124/PTB/Fas pathway provides novel insight into Fas-dependent LEC apoptosis.
Collapse
Affiliation(s)
- Kaiyun Zhang
- Department of Ophthalmology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yue Yin
- School of Public Health, Xi'an Jiaotong University, Xi'an, China
| | - Cheng Pei
- Department of Ophthalmology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Changrui Wu
- Department of Ophthalmology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| |
Collapse
|
6
|
Marzec J, Ross-Adams H, Pirrò S, Wang J, Zhu Y, Mao X, Gadaleta E, Ahmad AS, North BV, Kammerer-Jacquet SF, Stankiewicz E, Kudahetti SC, Beltran L, Ren G, Berney DM, Lu YJ, Chelala C. The Transcriptomic Landscape of Prostate Cancer Development and Progression: An Integrative Analysis. Cancers (Basel) 2021; 13:345. [PMID: 33477882 PMCID: PMC7838904 DOI: 10.3390/cancers13020345] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 01/07/2021] [Accepted: 01/12/2021] [Indexed: 11/16/2022] Open
Abstract
Next-generation sequencing of primary tumors is now standard for transcriptomic studies, but microarray-based data still constitute the majority of available information on other clinically valuable samples, including archive material. Using prostate cancer (PC) as a model, we developed a robust analytical framework to integrate data across different technical platforms and disease subtypes to connect distinct disease stages and reveal potentially relevant genes not identifiable from single studies alone. We reconstructed the molecular profile of PC to yield the first comprehensive insight into its development, by tracking changes in mRNA levels from normal prostate to high-grade prostatic intraepithelial neoplasia, and metastatic disease. A total of nine previously unreported stage-specific candidate genes with prognostic significance were also found. Here, we integrate gene expression data from disparate sample types, disease stages and technical platforms into one coherent whole, to give a global view of the expression changes associated with the development and progression of PC from normal tissue through to metastatic disease. Summary and individual data are available online at the Prostate Integrative Expression Database (PIXdb), a user-friendly interface designed for clinicians and laboratory researchers to facilitate translational research.
Collapse
Affiliation(s)
- Jacek Marzec
- Bioinformatics Unit, Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (J.M.); (S.P.); (J.W.); (E.G.)
| | - Helen Ross-Adams
- Bioinformatics Unit, Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (J.M.); (S.P.); (J.W.); (E.G.)
| | - Stefano Pirrò
- Bioinformatics Unit, Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (J.M.); (S.P.); (J.W.); (E.G.)
| | - Jun Wang
- Bioinformatics Unit, Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (J.M.); (S.P.); (J.W.); (E.G.)
| | - Yanan Zhu
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (Y.Z.); (X.M.); (S.-F.K.-J.); (E.S.); (S.C.K.); (D.M.B.); (Y.-J.L.)
| | - Xueying Mao
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (Y.Z.); (X.M.); (S.-F.K.-J.); (E.S.); (S.C.K.); (D.M.B.); (Y.-J.L.)
| | - Emanuela Gadaleta
- Bioinformatics Unit, Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (J.M.); (S.P.); (J.W.); (E.G.)
| | - Amar S. Ahmad
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine, Queen Mary University of London, London EC1M 6BQ, UK; (A.S.A.); (B.V.N.)
| | - Bernard V. North
- Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Barts and the London School of Medicine, Queen Mary University of London, London EC1M 6BQ, UK; (A.S.A.); (B.V.N.)
| | - Solène-Florence Kammerer-Jacquet
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (Y.Z.); (X.M.); (S.-F.K.-J.); (E.S.); (S.C.K.); (D.M.B.); (Y.-J.L.)
| | - Elzbieta Stankiewicz
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (Y.Z.); (X.M.); (S.-F.K.-J.); (E.S.); (S.C.K.); (D.M.B.); (Y.-J.L.)
| | - Sakunthala C. Kudahetti
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (Y.Z.); (X.M.); (S.-F.K.-J.); (E.S.); (S.C.K.); (D.M.B.); (Y.-J.L.)
| | - Luis Beltran
- Department of Pathology, Barts Health NHS, London E1 F1R, UK;
| | - Guoping Ren
- Department of Pathology, The First Affiliated Hospital, Zhejiang University Medical College, Hangzhou 310058, China;
| | - Daniel M. Berney
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (Y.Z.); (X.M.); (S.-F.K.-J.); (E.S.); (S.C.K.); (D.M.B.); (Y.-J.L.)
- Department of Pathology, Barts Health NHS, London E1 F1R, UK;
| | - Yong-Jie Lu
- Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (Y.Z.); (X.M.); (S.-F.K.-J.); (E.S.); (S.C.K.); (D.M.B.); (Y.-J.L.)
| | - Claude Chelala
- Bioinformatics Unit, Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; (J.M.); (S.P.); (J.W.); (E.G.)
- Centre for Computational Biology, Life Sciences Initiative, Queen Mary University London, London EC1M 6BQ, UK
| |
Collapse
|
7
|
Cortini A, Bembich S, Marson L, Cocco E, Edomi P. Identification of novel non-myelin biomarkers in multiple sclerosis using an improved phage-display approach. PLoS One 2019; 14:e0226162. [PMID: 31805175 PMCID: PMC6894809 DOI: 10.1371/journal.pone.0226162] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Accepted: 11/20/2019] [Indexed: 12/17/2022] Open
Abstract
Although the etiology of multiple sclerosis is not yet understood, it is accepted that its pathogenesis involves both autoimmune and neurodegenerative processes, in which the role of autoreactive T-cells has been elucidated. Instead, the contribution of humoral response is still unclear, even if the presence of intrathecal antibodies and B-cells follicle-like structures in meninges of patients has been demonstrated. Several myelin and non-myelin antigens have been identified, but none has been validated as humoral biomarker. In particular autoantibodies against myelin proteins have been found also in healthy individuals, whereas non-myelin antigens have been implicated in neurodegenerative phase of the disease. To provide further putative autoantigens of multiple sclerosis, we investigated the antigen specificity of immunoglobulins present both in sera and in cerebrospinal fluid of patients using phage display technology in a new improved format. A human brain cDNA phage display library was constructed and enriched for open-read-frame fragments. This library was selected against pooled and purified immunoglobulins from cerebrospinal fluid and sera of multiple sclerosis patients. The antigen library was also screened against an antibody scFv library obtained from RNA of B cells purified from the cerebrospinal fluid of two relapsing remitting patients. From all biopanning a complex of 14 antigens were identified; in particular, one of these antigens, corresponding to DDX24 protein, was present in all selections. The ability of more frequently isolated antigens to discriminate between sera from patients with multiple sclerosis or other neurological diseases was investigated. The more promising novel candidate autoantigens were DDX24 and TCERG1. Both are implicated in RNA modification and regulation which can be altered in neurodegenerative processes. Therefore, we propose that they could be a marker of a particular disease activity state.
Collapse
Affiliation(s)
- Andrea Cortini
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Sara Bembich
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Lorena Marson
- Department of Life Sciences, University of Trieste, Trieste, Italy
| | - Eleonora Cocco
- Multiple Sclerosis Center, University of Cagliari/ATS Sardegna, Cagliari, Italy
| | - Paolo Edomi
- Department of Life Sciences, University of Trieste, Trieste, Italy
- * E-mail:
| |
Collapse
|
8
|
Stevens M, Oltean S. Modulation of the Apoptosis Gene Bcl-x Function Through Alternative Splicing. Front Genet 2019; 10:804. [PMID: 31552099 PMCID: PMC6743414 DOI: 10.3389/fgene.2019.00804] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Accepted: 07/31/2019] [Indexed: 01/09/2023] Open
Abstract
Apoptosis plays a vital role in cell homeostasis during development and disease. Bcl-x, a member of the Bcl-2 family of proteins, is a mitochondrial transmembrane protein that functions to regulate the intrinsic apoptosis pathway. An alternative splicing (AS) event in exon 2 of Bcl-x results in two isoforms of Bcl-x with antagonistic effects on cell survival: Bcl-xL (long isoform), which is anti-apoptotic, and Bcl-xS (short isoform), which is pro-apoptotic. Bcl-xL is the most abundant Bcl-x protein and functions to inhibit apoptosis by a number of different mechanisms including inhibition of Bax. In contrast, Bcl-xS can directly bind to and inhibit the anti-apoptotic Bcl-xL and Bcl-2 proteins, resulting in the release of the pro-apoptotic Bak. There are multiple splice factors and signaling pathways that influence the Bcl-xL/Bcl-xS splicing ratio, including serine/arginine-rich (SR) proteins, heterogeneous nuclear ribonucleoproteins (hnRNPs), transcription factors, and cytokines. Dysregulation of the AS of Bcl-x has been implicated in cancer and diabetes. In cancer, the upregulation of Bcl-xL expression in tumor cells can result in resistance to chemotherapeutic agents. On the other hand, dysregulation of Bcl-x AS to promote Bcl-xS expression has been shown to be detrimental to pancreatic β-cells in diabetes, resulting in β-cell apoptosis. Therefore, manipulation of the splice factor, transcription factor, and signaling pathways that modulate this splicing event is fast emerging as a therapeutic avenue in the treatment of cancer and diabetes.
Collapse
Affiliation(s)
- Megan Stevens
- Institute of Biomedical and Clinical Science, Medical School, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| | - Sebastian Oltean
- Institute of Biomedical and Clinical Science, Medical School, College of Medicine and Health, University of Exeter, Exeter, United Kingdom
| |
Collapse
|
9
|
Solanki A, Yanez DC, Ross S, Lau CI, Papaioannou E, Li J, Saldaña JI, Crompton T. Gli3 in fetal thymic epithelial cells promotes thymocyte positive selection and differentiation by repression of Shh. Development 2018; 145:dev.146910. [PMID: 29361554 PMCID: PMC5817998 DOI: 10.1242/dev.146910] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2016] [Accepted: 01/03/2018] [Indexed: 12/15/2022]
Abstract
Gli3 is a Hedgehog (Hh)-responsive transcription factor that can function as a transcriptional repressor or activator. We show that Gli3 activity in mouse thymic epithelial cells (TECs) promotes positive selection and differentiation from CD4+ CD8+ to CD4+ CD8- single-positive (SP4) cells in the fetal thymus and that Gli3 represses Shh Constitutive deletion of Gli3, and conditional deletion of Gli3 from TECs, reduced differentiation to SP4, whereas conditional deletion of Gli3 from thymocytes did not. Conditional deletion of Shh from TECs increased differentiation to SP4, and expression of Shh was upregulated in the Gli3-deficient thymus. Use of a transgenic Hh reporter showed that the Hh pathway was active in thymocytes, and increased in the Gli3-deficient fetal thymus. Neutralisation of endogenous Hh proteins in the Gli3-/- thymus restored SP4 differentiation, indicating that Gli3 in TECs promotes SP4 differentiation by repression of Shh Transcriptome analysis showed that Hh-mediated transcription was increased whereas TCR-mediated transcription was decreased in Gli3-/- thymocytes compared with wild type.
Collapse
Affiliation(s)
- Anisha Solanki
- UCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Diana C Yanez
- UCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Susan Ross
- UCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - Ching-In Lau
- UCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | | | - Jiawei Li
- UCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| | - José Ignacio Saldaña
- UCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK.,School of Health, Sport and Bioscience, University of East London, London E15 4LZ, UK
| | - Tessa Crompton
- UCL GOS Institute of Child Health, 30 Guilford Street, London WC1N 1EH, UK
| |
Collapse
|
10
|
|