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Yi Y, Zhang Y, Song Y, Lu Y. Treadmill Running Regulates Adult Neurogenesis, Spatial and Non-spatial Learning, Parvalbumin Neuron Activity by ErbB4 Signaling. Cell Mol Neurobiol 2024; 44:17. [PMID: 38285192 DOI: 10.1007/s10571-023-01439-0] [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: 06/29/2023] [Accepted: 11/06/2023] [Indexed: 01/30/2024]
Abstract
Exercise can promote adult neurogenesis and improve symptoms associated with schizophrenia and other mental disorders via parvalbumin (PV)-positive GABAergic interneurons in the dentate gyrus ErbB4 is the receptor of neurotrophic factor neuregulin 1, expressed mostly in PV-positive interneurons. Whether ErbB4 in PV-positive neurons mediates the beneficial effect of exercise and adult neurogenesis on mental disorder needs to be further investigation. Here, we first conducted a four-week study on the effects of AG1478, an ErbB4 inhibitor, on memory and neurogenesis. AG1478 significantly impaired the performance in several memory tasks, including the T-maze, Morris water maze, and contextual fear conditioning, downregulated the expression of total ErbB4 (T-ErbB4) and the ratio of phosphate-ErbB4 (p-ErbB4) to T-ErbB4, and associated with neurogenesis impairment. Interestingly, AG1478 also appeared to decrease intracellular calcium levels in PV neurons, which could be reversed by exercise. These results suggest exercise may regulate adult neurogenesis and PV neuron activity through ErbB4 signaling. Overall, these findings provide further evidence of the importance of exercise for neurogenesis and suggest that targeting ErbB4 may be a promising strategy for improving memory and other cognitive functions in individuals with mental disorders.
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Affiliation(s)
- Yandong Yi
- Department of Pharmacy, Traditional Chinese and Western Medicine Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
- Department of Physiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuejin Zhang
- Department of Physiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China
- Institute of Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yuanlong Song
- Department of Physiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China
- Institute of Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Yisheng Lu
- Department of Physiology, School of Basic Medicine, Huazhong University of Science and Technology, Wuhan, 430030, China.
- Institute of Brain Research, Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan, 430030, China.
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2
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Basanta CDLAC, Bazzi M, Hijazi M, Bessant C, Cutillas PR. Community detection in empirical kinase networks identifies new potential members of signalling pathways. PLoS Comput Biol 2023; 19:e1010459. [PMID: 37352361 PMCID: PMC10325051 DOI: 10.1371/journal.pcbi.1010459] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 07/06/2023] [Accepted: 06/05/2023] [Indexed: 06/25/2023] Open
Abstract
Phosphoproteomics allows one to measure the activity of kinases that drive the fluxes of signal transduction pathways involved in biological processes such as immune function, senescence and cell growth. However, deriving knowledge of signalling network circuitry from these data is challenging due to a scarcity of phosphorylation sites that define kinase-kinase relationships. To address this issue, we previously identified around 6,000 phosphorylation sites as markers of kinase-kinase relationships (that may be conceptualised as network edges), from which empirical cell-model-specific weighted kinase networks may be reconstructed. Here, we assess whether the application of community detection algorithms to such networks can identify new components linked to canonical signalling pathways. Phosphoproteomics data from acute myeloid leukaemia (AML) cells treated separately with PI3K, AKT, MEK and ERK inhibitors were used to reconstruct individual kinase networks. We used modularity maximisation to detect communities in each network, and selected the community containing the main target of the inhibitor used to treat cells. These analyses returned communities that contained known canonical signalling components. Interestingly, in addition to canonical PI3K/AKT/mTOR members, the community assignments returned TTK (also known as MPS1) as a likely component of PI3K/AKT/mTOR signalling. We drew similar insights from an external phosphoproteomics dataset from breast cancer cells treated with rapamycin and oestrogen. We confirmed this observation with wet-lab laboratory experiments showing that TTK phosphorylation was decreased in AML cells treated with AKT and MTOR inhibitors. This study illustrates the application of community detection algorithms to the analysis of empirical kinase networks to uncover new members linked to canonical signalling pathways.
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Affiliation(s)
- Celia De Los Angeles Colomina Basanta
- Cell signaling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Marya Bazzi
- Warwick Mathematics Institute, University of Warwick, Coventry, United Kingdom
- The Alan Turing Institute, London, United Kingdom
| | - Maruan Hijazi
- Cell signaling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Conrad Bessant
- The Alan Turing Institute, London, United Kingdom
- School of Biological and Chemical Sciences, Queen Mary University of London, London, United Kingdom
| | - Pedro R. Cutillas
- Cell signaling and Proteomics Group, Centre for Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
- The Alan Turing Institute, London, United Kingdom
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3
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Niazi Y, Paramasivam N, Blocka J, Kumar A, Huhn S, Schlesner M, Weinhold N, Sijmons R, De Jong M, Durie B, Goldschmidt H, Hemminki K, Försti A. Investigation of Rare Non-Coding Variants in Familial Multiple Myeloma. Cells 2022; 12:cells12010096. [PMID: 36611892 PMCID: PMC9818386 DOI: 10.3390/cells12010096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 12/16/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Multiple myeloma (MM) is a plasma cell malignancy whereby a single clone of plasma cells over-propagates in the bone marrow, resulting in the increased production of monoclonal immunoglobulin. While the complex genetic architecture of MM is well characterized, much less is known about germline variants predisposing to MM. Genome-wide sequencing approaches in MM families have started to identify rare high-penetrance coding risk alleles. In addition, genome-wide association studies have discovered several common low-penetrance risk alleles, which are mainly located in the non-coding genome. Here, we further explored the genetic basis in familial MM within the non-coding genome in whole-genome sequencing data. We prioritized and characterized 150 upstream, 5' untranslated region (UTR) and 3' UTR variants from 14 MM families, including 20 top-scoring variants. These variants confirmed previously implicated biological pathways in MM development. Most importantly, protein network and pathway enrichment analyses also identified 10 genes involved in mitogen-activated protein kinase (MAPK) signaling pathways, which have previously been established as important MM pathways.
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Affiliation(s)
- Yasmeen Niazi
- Hopp Children’s Cancer Center (KiTZ), 69120 Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
- Correspondence: (Y.N.); (K.H.)
| | - Nagarajan Paramasivam
- Computational Oncology, Molecular Precision Oncology Program, National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
| | - Joanna Blocka
- Department of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany
- Department of Medical Oncology, Jerome Lipper Multiple Myeloma Center, Dana-Farber Cancer Institute, Boston, MA 02115, USA
- Harvard Medical School, Boston, MA 02115, USA
| | - Abhishek Kumar
- Institute of Bioinformatics, International Technology Park, Bangalore 560066, India
- Manipal Academy of Higher Education (MAHE), Manipal 576104, India
| | - Stefanie Huhn
- Department of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany
- National Center for Tumor Diseases Heidelberg (NCT), 69120 Heidelberg, Germany
| | - Matthias Schlesner
- Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Niels Weinhold
- Department of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany
| | - Rolf Sijmons
- University Medical Center Groningen, University of Groningen, 9712 Groningen, The Netherlands
| | - Mirjam De Jong
- University Medical Center Groningen, University of Groningen, 9712 Groningen, The Netherlands
| | - Brian Durie
- Cedars Sinai Cancer Center, Los Angeles, CA 90048, USA
| | - Hartmut Goldschmidt
- Computational Oncology, Molecular Precision Oncology Program, National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany
- Department of Internal Medicine V, University of Heidelberg, 69120 Heidelberg, Germany
| | - Kari Hemminki
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University in Prague, 323 00 Pilsen, Czech Republic
- Correspondence: (Y.N.); (K.H.)
| | - Asta Försti
- Hopp Children’s Cancer Center (KiTZ), 69120 Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
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4
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Urban J. A review on recent trends in the phosphoproteomics workflow. From sample preparation to data analysis. Anal Chim Acta 2022; 1199:338857. [DOI: 10.1016/j.aca.2021.338857] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Revised: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 12/12/2022]
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5
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Hertzog JR, Zhang Z, Bignan G, Connolly PJ, Heindl JE, Janetopoulos CJ, Rupnow BA, McDevitt TM. AKR1C3 mediates pan-AR antagonist resistance in castration-resistant prostate cancer. Prostate 2020; 80:1223-1232. [PMID: 33258507 DOI: 10.1002/pros.24049] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Accepted: 07/22/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND Antiandrogens are effective therapies that block androgen receptor (AR) transactivation and signaling in over 50% of castration-resistant prostate cancer (CRPC) patients. However, an estimated 30% of responders will develop resistance to these therapies within 2 years. JNJ-pan-AR is a broad-spectrum AR antagonist that inhibits wild-type AR as well as several mutated versions of AR that have emerged in patients on chronic antiandrogen treatment. In this work, we aimed to identify the potential underlying mechanisms of resistance that may result from chronic JNJ-pan-AR treatment. METHODS The LNCaP JNJR prostate cancer subline was developed by chronically exposing LNCaP parental cells to JNJ-pan-AR. Transcriptomic and proteomic profiling was performed to identify potential drivers and/or biomarkers of the resistant phenotype. RESULTS Several enzymes critical to intratumoral androgen biosynthesis, Aldo-keto reductase family 1 member C3 (AKR1C3), UGT2B15, and UGT2B17 were identified as potential upstream regulators of the JNJ-pan-AR resistant cells. While we confirmed the overexpression of all three enzymes in the resistant cells only AKR1C3 expression played a functional role in driving JNJ-pan-AR resistance. We also discovered that AKR1C3 regulates UGT2B15 and UGT2B17 expression in JNJ-pan-AR resistant cells. CONCLUSIONS This study supports the rationale to further investigate the benefits of AKR1C3 inhibition in combination with antiandrogens to prevent CRPC disease progression.
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Affiliation(s)
- Jennifer R Hertzog
- Discovery Oncology, Janssen R&D US, Spring House, Pennsylvania
- Department of Biological Sciences, University of the Sciences in Philadelphia, Philadelphia, Pennsylvania
| | - Zhuming Zhang
- Discovery Chemistry, Janssen R&D US, Spring House, Pennsylvania
| | - Gilles Bignan
- Discovery Chemistry, Janssen R&D US, Spring House, Pennsylvania
| | | | - Jason E Heindl
- Department of Biological Sciences, University of the Sciences in Philadelphia, Philadelphia, Pennsylvania
| | - Christopher J Janetopoulos
- Department of Biological Sciences, University of the Sciences in Philadelphia, Philadelphia, Pennsylvania
| | - Brent A Rupnow
- Discovery Oncology, Janssen R&D US, Spring House, Pennsylvania
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6
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Heckman CA, Biswas T, Dimick DM, Cayer ML. Activated Protein Kinase C (PKC) Is Persistently Trafficked with Epidermal Growth Factor (EGF) Receptor. Biomolecules 2020; 10:E1288. [PMID: 32906765 PMCID: PMC7563713 DOI: 10.3390/biom10091288] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 09/02/2020] [Accepted: 09/05/2020] [Indexed: 12/22/2022] Open
Abstract
Protein kinase Cs (PKCs) are activated by lipids in the plasma membrane and bind to a scaffold assembled on the epidermal growth factor (EGF) receptor (EGFR). Understanding how this complex is routed is important, because this determines whether EGFR is degraded, terminating signaling. Here, cells were preincubated in EGF-tagged gold nanoparticles, then allowed to internalize them in the presence or absence of a phorbol ester PKC activator. PKC colocalized with EGF-tagged nanoparticles within 5 min and migrated with EGFR-bearing vesicles into the cell. Two conformations of PKC-epsilon were distinguished by different primary antibodies. One, thought to be enzymatically active, was on endosomes and displayed a binding site for antibody RR (R&D). The other, recognized by Genetex green (GG), was soluble, on actin-rich structures, and loosely bound to vesicles. During a 15-min chase, EGF-tagged nanoparticles entered large, perinuclear structures. In phorbol ester-treated cells, vesicles bearing EGF-tagged nanoparticles tended to enter this endocytic recycling compartment (ERC) without the GG form. The correlation coefficient between the GG (inactive) and RR conformations on vesicles was also lower. Thus, active PKC has a Charon-like function, ferrying vesicles to the ERC, and inactivation counteracts this function. The advantage conferred on cells by aggregating vesicles in the ERC is unclear.
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Affiliation(s)
- Carol A. Heckman
- Department of Biological Sciences, 217 Life Science Building, Bowling Green State University, Bowling Green, OH 43403, USA;
| | - Tania Biswas
- Department of Biological Sciences, 217 Life Science Building, Bowling Green State University, Bowling Green, OH 43403, USA;
| | - Douglas M. Dimick
- Department of Physics & Astronomy, 104 Overman Hall, Bowling Green State University, Bowling Green, OH 43403, USA;
| | - Marilyn L. Cayer
- Center for Microscopy & Microanalysis, 217 Life Science Building, Bowling Green State University, Bowling Green, OH 43403, USA;
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7
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Yan J, Long Y, Zhou T, Ren J, Li Q, Song G, Cui Z. Dynamic Phosphoproteome Profiling of Zebrafish Embryonic Fibroblasts during Cold Acclimation. Proteomics 2020; 20:e1900257. [PMID: 31826332 DOI: 10.1002/pmic.201900257] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 11/24/2019] [Indexed: 11/09/2022]
Abstract
Temperature affects almost all aspects of the fish life. To cope with low temperature, fish have evolved the ability of cold acclimation for survival. However, intracellular signaling events underlying cold acclimation in fish remain largely unknown. Here, the formation of cold acclimation in zebrafish embryonic fibroblasts (ZF4) is monitored and the phosphorylation events during the process are investigated through a large-scale quantitative phosphoproteomic approach. In total, 11 474 phosphorylation sites are identified on 4066 proteins and quantified 5772 phosphosites on 2519 proteins. Serine, threonine, and tyrosine (Ser/Thr/Tyr) phosphorylation accounted for 85.5%, 13.3%, and 1.2% of total phosphosites, respectively. Among all phosphosites, 702 phosphosites on 510 proteins show differential regulation during cold acclimation of ZF4 cells. These phosphosites are divided into six clusters according to their dynamic changes during cold exposure. Kinase-substrate prediction reveals that mitogen-activated protein kinase (MAPK) among the kinase groups is predominantly responsible for phosphorylation of these phosphosites. The differentially regulated phosphoproteins are functionally associated with various cellular processes such as regulation of actin cytoskeleton and MAPK signaling pathway. These data enrich the database of protein phosphorylation sites in zebrafish and provide key clues for the elucidation of intracellular signaling networks during cold acclimation of fish.
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Affiliation(s)
- Junjun Yan
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Hubei, Wuhan, 430072, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yong Long
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Hubei, Wuhan, 430072, China
| | - Tong Zhou
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Hubei, Wuhan, 430072, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jing Ren
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Hubei, Wuhan, 430072, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qing Li
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Hubei, Wuhan, 430072, China
| | - Guili Song
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Hubei, Wuhan, 430072, China
| | - Zongbin Cui
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Hubei, Wuhan, 430072, China.,The Innovative Academy of Seed Design, Chinese Academy of Sciences, Hubei, Wuhan, 430072, China
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8
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de Boer B, Prick J, Pruis MG, Keane P, Imperato MR, Jaques J, Brouwers-Vos AZ, Hogeling SM, Woolthuis CM, Nijk MT, Diepstra A, Wandinger S, Versele M, Attar RM, Cockerill PN, Huls G, Vellenga E, Mulder AB, Bonifer C, Schuringa JJ. Prospective Isolation and Characterization of Genetically and Functionally Distinct AML Subclones. Cancer Cell 2018; 34:674-689.e8. [PMID: 30245083 DOI: 10.1016/j.ccell.2018.08.014] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 06/28/2018] [Accepted: 08/21/2018] [Indexed: 12/18/2022]
Abstract
Intra-tumor heterogeneity caused by clonal evolution is a major problem in cancer treatment. To address this problem, we performed label-free quantitative proteomics on primary acute myeloid leukemia (AML) samples. We identified 50 leukemia-enriched plasma membrane proteins enabling the prospective isolation of genetically distinct subclones from individual AML patients. Subclones differed in their regulatory phenotype, drug sensitivity, growth, and engraftment behavior, as determined by RNA sequencing, DNase I hypersensitive site mapping, transcription factor occupancy analysis, in vitro culture, and xenograft transplantation. Finally, we show that these markers can be used to identify and longitudinally track distinct leukemic clones in patients in routine diagnostics. Our study describes a strategy for a major improvement in stratifying cancer diagnosis and treatment.
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Affiliation(s)
- Bauke de Boer
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Janine Prick
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Maurien G Pruis
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Peter Keane
- Institute for Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, B15 2TT Birmingham, UK
| | - Maria Rosaria Imperato
- Institute for Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, B15 2TT Birmingham, UK
| | - Jennifer Jaques
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Annet Z Brouwers-Vos
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Shanna M Hogeling
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Carolien M Woolthuis
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Marije T Nijk
- Department of Laboratory Medicine, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands
| | - Arjan Diepstra
- Department of Pathology and Medical Biology, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands
| | | | - Matthias Versele
- Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Ricardo M Attar
- Janssen Research & Development, Turnhoutseweg 30, 2340 Beerse, Belgium
| | - Peter N Cockerill
- Institute for Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, B15 2TT Birmingham, UK
| | - Gerwin Huls
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - Edo Vellenga
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands
| | - André B Mulder
- Department of Laboratory Medicine, University Medical Centre Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, the Netherlands
| | - Constanze Bonifer
- Institute for Cancer and Genomic Sciences, College of Medicine and Dentistry, University of Birmingham, B15 2TT Birmingham, UK
| | - Jan Jacob Schuringa
- Department of Experimental Hematology, Cancer Research Centre Groningen (CRCG), University Medical Centre Groningen, University of Groningen, Hanzeplein 1, DA13, 9700 RB Groningen, the Netherlands.
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9
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Alizadeh A, Dyck SM, Kataria H, Shahriary GM, Nguyen DH, Santhosh KT, Karimi-Abdolrezaee S. Neuregulin-1 positively modulates glial response and improves neurological recovery following traumatic spinal cord injury. Glia 2017; 65:1152-1175. [DOI: 10.1002/glia.23150] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Revised: 03/12/2017] [Accepted: 03/22/2017] [Indexed: 12/29/2022]
Affiliation(s)
- Arsalan Alizadeh
- Regenerative Medicine Program, Department of Physiology and Pathophysiology; Spinal Cord Research Centre, University of Manitoba; Winnipeg Manitoba R3E 0J9 Canada
| | - Scott M. Dyck
- Regenerative Medicine Program, Department of Physiology and Pathophysiology; Spinal Cord Research Centre, University of Manitoba; Winnipeg Manitoba R3E 0J9 Canada
| | - Hardeep Kataria
- Regenerative Medicine Program, Department of Physiology and Pathophysiology; Spinal Cord Research Centre, University of Manitoba; Winnipeg Manitoba R3E 0J9 Canada
| | - Ghazaleh M. Shahriary
- Regenerative Medicine Program, Department of Physiology and Pathophysiology; Spinal Cord Research Centre, University of Manitoba; Winnipeg Manitoba R3E 0J9 Canada
| | - Dung H. Nguyen
- Regenerative Medicine Program, Department of Physiology and Pathophysiology; Spinal Cord Research Centre, University of Manitoba; Winnipeg Manitoba R3E 0J9 Canada
| | - Kallivalappil T. Santhosh
- Regenerative Medicine Program, Department of Physiology and Pathophysiology; Spinal Cord Research Centre, University of Manitoba; Winnipeg Manitoba R3E 0J9 Canada
| | - Soheila Karimi-Abdolrezaee
- Regenerative Medicine Program, Department of Physiology and Pathophysiology; Spinal Cord Research Centre, University of Manitoba; Winnipeg Manitoba R3E 0J9 Canada
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10
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Vyse S, Desmond H, Huang PH. Advances in mass spectrometry based strategies to study receptor tyrosine kinases. IUCRJ 2017; 4:119-130. [PMID: 28250950 PMCID: PMC5330522 DOI: 10.1107/s2052252516020546] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 12/27/2016] [Indexed: 06/06/2023]
Abstract
Receptor tyrosine kinases (RTKs) are key transmembrane environmental sensors that are capable of transmitting extracellular information into phenotypic responses, including cell proliferation, survival and metabolism. Advances in mass spectrometry (MS)-based phosphoproteomics have been instrumental in providing the foundations of much of our current understanding of RTK signalling networks and activation dynamics. Furthermore, new insights relating to the deregulation of RTKs in disease, for instance receptor co-activation and kinome reprogramming, have largely been identified using phosphoproteomic-based strategies. This review outlines the current approaches employed in phosphoproteomic workflows, including phosphopeptide enrichment and MS data-acquisition methods. Here, recent advances in the application of MS-based phosphoproteomics to bridge critical gaps in our knowledge of RTK signalling are focused on. The current limitations of the technology are discussed and emerging areas such as computational modelling, high-throughput phospho-proteomic workflows and next-generation single-cell approaches to further our understanding in new areas of RTK biology are highlighted.
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Affiliation(s)
- Simon Vyse
- Division of Cancer Biology, The Institute of Cancer Research, London SW3 6JB, England
| | - Howard Desmond
- Division of Cancer Biology, The Institute of Cancer Research, London SW3 6JB, England
| | - Paul H. Huang
- Division of Cancer Biology, The Institute of Cancer Research, London SW3 6JB, England
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