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Chen M, Koopmans F, Paliukhovich I, van der Spek SJF, Dong J, Smit AB, Li KW. Blue Native PAGE-Antibody Shift in Conjunction with Mass Spectrometry to Reveal Protein Subcomplexes: Detection of a Cerebellar α1/α6-Subunits Containing γ-Aminobutyric Acid Type A Receptor Subtype. Int J Mol Sci 2023; 24:ijms24087632. [PMID: 37108794 PMCID: PMC10143440 DOI: 10.3390/ijms24087632] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/07/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
The pentameric γ-Aminobutyric acid type A receptors (GABAARs) are ligand-gated ion channels that mediate the majority of inhibitory neurotransmission in the brain. In the cerebellum, the two main receptor subtypes are the 2α1/2β/γ and 2α6/2β/δ subunits. In the present study, an interaction proteomics workflow was used to reveal additional subtypes that contain both α1 and α6 subunits. Immunoprecipitation of the α6 subunit from mouse brain cerebellar extract co-purified the α1 subunit. In line with this, pre-incubation of the cerebellar extract with anti-α6 antibodies and analysis by blue native gel electrophoresis mass-shifted part of the α1 complexes, indicative of the existence of an α1α6-containing receptor. Subsequent mass spectrometry of the blue native gel showed the α1α6-containing receptor subtype to exist in two main forms, i.e., with or without Neuroligin-2. Immunocytochemistry on a cerebellar granule cell culture revealed co-localization of α6 and α1 in post-synaptic puncta that apposed the presynaptic marker protein Vesicular GABA transporter, indicative of the presence of this synaptic GABAAR subtype.
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Affiliation(s)
- Miao Chen
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Frank Koopmans
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Iryna Paliukhovich
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Sophie J F van der Spek
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Jian Dong
- Department of Functional Genomics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - August B Smit
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Ka Wan Li
- Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands
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2
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Luff DH, Wojdyla K, Oxley D, Chessa T, Hudson K, Hawkins PT, Stephens LR, Barry ST, Okkenhaug K. PI3Kδ Forms Distinct Multiprotein Complexes at the TCR Signalosome in Naïve and Differentiated CD4 + T Cells. Front Immunol 2021; 12:631271. [PMID: 33763075 PMCID: PMC7982423 DOI: 10.3389/fimmu.2021.631271] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/02/2021] [Indexed: 11/14/2022] Open
Abstract
Phosphoinositide 3-kinases (PI3Ks) play a central role in adaptive immunity by transducing signals from the T cell antigen receptor (TCR) via production of PIP3. PI3Kδ is a heterodimer composed of a p110δ catalytic subunit associated with a p85α or p85β regulatory subunit and is preferentially engaged by the TCR upon T cell activation. The molecular mechanisms leading to PI3Kδ recruitment and activation at the TCR signalosome remain unclear. In this study, we have used quantitative mass spectrometry, biochemical approaches and CRISPR-Cas9 gene editing to uncover the p110δ interactome in primary CD4+ T cells. Moreover, we have determined how the PI3Kδ interactome changes upon the differentiation of small naïve T cells into T cell blasts expanded in the presence of IL-2. Our interactomic analyses identified multiple constitutive and inducible PI3Kδ-interacting proteins, some of which were common to naïve and previously-activated T cells. Our data reveals that PI3Kδ rapidly interacts with as many as seven adaptor proteins upon TCR engagement, including the Gab-family proteins, GAB2 and GAB3, a CD5-CBL signalosome and the transmembrane proteins ICOS and TRIM. Our results also suggest that PI3Kδ pre-forms complexes with the adaptors SH3KBP1 and CRKL in resting cells that could facilitate the localization and activation of p110δ at the plasma membrane by forming ternary complexes during early TCR signalling. Furthermore, we identify interactions that were not previously known to occur in CD4+ T cells, involving BCAP, GAB3, IQGAP3 and JAML. We used CRISPR-Cas9-mediated gene knockout in primary T cells to confirm that BCAP is a positive regulator of PI3K-AKT signalling in CD4+ T cell blasts. Overall, our results provide evidence for a large protein network that regulates the recruitment and activation of PI3Kδ in T cells. Finally, this work shows how the PI3Kδ interactome is remodeled as CD4+ T cells differentiate from naïve T cells to activated T cell blasts. These activated T cells upregulate additional PI3Kδ adaptor proteins, including BCAP, GAB2, IQGAP3 and ICOS. This rewiring of TCR-PI3K signalling that occurs upon T cell differentiation may serve to reduce the threshold of activation and diversify the inputs for the PI3K pathway in effector T cells.
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Affiliation(s)
- Daisy H Luff
- Laboratory of Lymphocyte Signalling and Development, The Babraham Institute, Cambridge, United Kingdom
| | - Katarzyna Wojdyla
- Mass Spectrometry Facility, The Babraham Institute, Cambridge, United Kingdom.,Signalling Programme, The Babraham Institute, Cambridge, United Kingdom
| | - David Oxley
- Mass Spectrometry Facility, The Babraham Institute, Cambridge, United Kingdom
| | - Tamara Chessa
- Signalling Programme, The Babraham Institute, Cambridge, United Kingdom
| | - Kevin Hudson
- Bioscience, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Phillip T Hawkins
- Signalling Programme, The Babraham Institute, Cambridge, United Kingdom
| | - Len R Stephens
- Signalling Programme, The Babraham Institute, Cambridge, United Kingdom
| | - Simon T Barry
- Bioscience, Oncology R&D, AstraZeneca, Cambridge, United Kingdom
| | - Klaus Okkenhaug
- Department of Pathology, University of Cambridge, Cambridge, United Kingdom
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Wang L, Cheng B, Li H, Wang Y. Proteomics analysis of preadipocytes between fat and lean broilers. Br Poult Sci 2019; 60:522-529. [PMID: 31132862 DOI: 10.1080/00071668.2019.1621989] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
1. Reducing excessive chicken body fat deposition is a main goal of the poultry industry. Preadipocytes are important in adipose tissue growth and development. 2. To discover proteins related to chicken fat deposition, two-dimensional fluorescence difference gel electrophoresis (2-D DIGE) was used to identify differentially expressed proteins in preadipocytes derived from Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF). 3. A total of 46 differentially expressed protein spots were found in the preadipocytes between fat and lean broilers. Matrix-assisted laser desorption-ionisation time-of-flight mass spectrometry (MALDI-TOF-MS) analysis showed the protein spots corresponded to 33 different proteins. The proteins were mainly related to biological oxidation, cell proliferation, cytoskeleton, lipid metabolism, molecular chaperone, protein synthesis and signal transduction. 4. From the perspective of protein expression, these results lay a foundation for further study of the genetic mechanism of broiler adipose tissue growth and development.
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Affiliation(s)
- L Wang
- Ministry of Agriculture and Rural Affairs, Key Laboratory of Chicken Genetics and Breeding , Harbin , P. R. China.,Department of Education of Heilongjiang Province, Key Laboratory of Animal Genetics, Breeding and Reproduction , Harbin , P. R. China.,College of Animal Science and Technology, Northeast Agricultural University , Harbin , P. R. China
| | - B Cheng
- Ministry of Agriculture and Rural Affairs, Key Laboratory of Chicken Genetics and Breeding , Harbin , P. R. China.,Department of Education of Heilongjiang Province, Key Laboratory of Animal Genetics, Breeding and Reproduction , Harbin , P. R. China.,College of Animal Science and Technology, Northeast Agricultural University , Harbin , P. R. China
| | - H Li
- Ministry of Agriculture and Rural Affairs, Key Laboratory of Chicken Genetics and Breeding , Harbin , P. R. China.,Department of Education of Heilongjiang Province, Key Laboratory of Animal Genetics, Breeding and Reproduction , Harbin , P. R. China.,College of Animal Science and Technology, Northeast Agricultural University , Harbin , P. R. China
| | - Y Wang
- Ministry of Agriculture and Rural Affairs, Key Laboratory of Chicken Genetics and Breeding , Harbin , P. R. China.,Department of Education of Heilongjiang Province, Key Laboratory of Animal Genetics, Breeding and Reproduction , Harbin , P. R. China.,College of Animal Science and Technology, Northeast Agricultural University , Harbin , P. R. China
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Singh R, Rojas CM. Dissecting the functional domains of the Arabidopsis thaliana nonhost resistance 2B (AtNHR2B) protein. PLANT SIGNALING & BEHAVIOR 2018; 13:e1530024. [PMID: 30325257 PMCID: PMC6279337 DOI: 10.1080/15592324.2018.1530024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
The Arabidopsis thaliana nonhost resistant 2B (AtNHR2B) is involved in plant defense responses by mediating the deposition of the ß-1,3-glucan polymer callose to the cell wall in response to bacterial pathogens. Despite having a critical role in plant immunity, the exact mechanism of how this protein functions is not known and its protein sequence does not have any similarity to known proteins characterized to date. Using in silico analysis we identified three transmembrane domains and two nuclear localization signals (NLS). To validate these predictions, we generated truncated versions of the protein fused to the green fluorescent protein (GFP) to analyze their subcellular localization by laser scanning confocal microscopy. We found that the in silico predictions matched the subcellular localization of the truncated versions. Specifically, the presence of at least one of the transmembrane domain was required for membrane-bound subcellular compartments. Intriguingly, the localization of the transmembrane domains and the nuclear localization signals correspond to overlapping regions of the protein at the C-terminus and found one truncation that enabled protein localization to the nucleus. These results highlight that AtNHR2B is a unique protein composed of various domains that enable the protein to localize to diverse subcellular compartments and, by virtue of these multiple localizations, likely functions in multiple biological processes.
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Affiliation(s)
- Raksha Singh
- Department of Plant Pathology, University of Arkansas, Fayetteville, AR, USA
| | - Clemencia M. Rojas
- Department of Plant Pathology, University of Arkansas, Fayetteville, AR, USA
- CONTACT Clemencia M. RojasDepartment of Plant Pathology, University of Arkansas, Fayetteville, AR, USA
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5
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Fan HY, Heerklotz H. Digitonin does not flip across cholesterol-poor membranes. J Colloid Interface Sci 2017; 504:283-293. [DOI: 10.1016/j.jcis.2017.05.034] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2017] [Revised: 05/09/2017] [Accepted: 05/11/2017] [Indexed: 01/18/2023]
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6
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Louis-Dit-Sully C, Blumenthal B, Duchniewicz M, Beck-Garcia K, Fiala GJ, Beck-García E, Mukenhirn M, Minguet S, Schamel WWA. Activation of the TCR Complex by Peptide-MHC and Superantigens. ACTA ACUST UNITED AC 2013; 104:9-23. [DOI: 10.1007/978-3-0348-0726-5_2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
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7
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Lönnberg T, Chen Z, Lahesmaa R. From a gene-centric to whole-proteome view of differentiation of T helper cell subsets. Brief Funct Genomics 2013; 12:471-82. [PMID: 24106101 PMCID: PMC3838199 DOI: 10.1093/bfgp/elt033] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Proper differentiation of naïve T helper cells into functionally distinct subsets is of critical importance to human health. Consequently, the process is tightly controlled by a complex intracellular signalling network. To dissect the regulatory principles of this network, immunologists have early on embraced system-wide transcriptomics tools, leading to identification of large panels of potential regulatory factors. In contrast, the use of proteomics approaches in T helper cell research has been notably rare, and to this date relatively few high-throughput datasets have been reported. Here, we discuss the importance of such research and envision the possibilities afforded by mass spectrometry-based proteomics in the near future.
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Affiliation(s)
- Tapio Lönnberg
- European Molecular Biology Laboratory European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, United Kingdom.
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Abstract
Despite the low affinity of the T-cell antigen receptor (TCR) for its peptide/major histocompatibility complex (pMHC) ligand, T cells are very sensitive to their antigens. This paradox can be resolved if we consider that the TCR may be organized into pre-existing oligomers or nanoclusters. Such structures could improve antigen recognition by increasing the functional affinity (avidity) of the TCR-pMHC interaction and by allowing cooperativity between individual TCRs. Up to approximately 20 TCRs become tightly apposed in these nanoclusters, often in a linear manner, and such structures could reflect a relatively generalized phenomenon: the non-random concentration of membrane receptors in specific areas of the plasma membrane known as protein islands. The association of TCRs into nanoclusters can explain the enhanced kinetics of the pMHC-TCR interaction in two dimensional versus three dimensional systems, but also their existence calls for a revision of the TCR triggering models based on pMHC-induced TCR clustering. Interestingly, the B-cell receptor and the FcεRI have also been shown to form nanoclusters, suggesting that the formation of pre-existing receptor oligomers could be widely used in the immune system.
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Affiliation(s)
- Wolfgang W A Schamel
- Department of Molecular Immunology, Institute of Biology III, Faculty of Biology, BIOSS Centre for Biological Signaling Studies, University of Freiburg, Freiburg, Germany
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9
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WASH knockout T cells demonstrate defective receptor trafficking, proliferation, and effector function. Mol Cell Biol 2012; 33:958-73. [PMID: 23275443 DOI: 10.1128/mcb.01288-12] [Citation(s) in RCA: 79] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
WASH is an Arp2/3 activator of the Wiskott-Aldrich syndrome protein superfamily that functions during endosomal trafficking processes in collaboration with the retromer and sorting nexins, but its in vivo function has not been examined. To elucidate the physiological role of WASH in T cells, we generated a WASH conditional knockout (WASHout) mouse model. Using CD4(Cre) deletion, we found that thymocyte development and naive T cell activation are unaltered in the absence of WASH. Surprisingly, despite normal T cell receptor (TCR) signaling and interleukin-2 production, WASHout T cells demonstrate significantly reduced proliferative potential and fail to effectively induce experimental autoimmune encephalomyelitis. Interestingly, after activation, WASHout T cells fail to maintain surface levels of TCR, CD28, and LFA-1. Moreover, the levels of the glucose transporter, GLUT1, are also reduced compared to wild-type T cells. We further demonstrate that the loss of surface expression of these receptors in WASHout cells results from aberrant accumulation within the collapsed endosomal compartment, ultimately leading to degradation within the lysosome. Subsequently, activated WASHout T cells experience reduced glucose uptake and metabolic output. Thus, we found that WASH is a newly recognized regulator of TCR, CD28, LFA-1, and GLUT1 endosome-to-membrane recycling. Aberrant trafficking of these key T cell proteins may potentially lead to attenuated proliferation and effector function.
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10
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Molnár E, Swamy M, Holzer M, Beck-García K, Worch R, Thiele C, Guigas G, Boye K, Luescher IF, Schwille P, Schubert R, Schamel WWA. Cholesterol and sphingomyelin drive ligand-independent T-cell antigen receptor nanoclustering. J Biol Chem 2012; 287:42664-74. [PMID: 23091059 DOI: 10.1074/jbc.m112.386045] [Citation(s) in RCA: 126] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
The T-cell antigen receptor (TCR) exists in monomeric and nanoclustered forms independently of antigen binding. Although the clustering is involved in the regulation of T-cell sensitivity, it is unknown how the TCR nanoclusters form. We show that cholesterol is required for TCR nanoclustering in T cells and that this clustering enhances the avidity but not the affinity of the TCR-antigen interaction. Investigating the mechanism of the nanoclustering, we found that radioactive photocholesterol specifically binds to the TCRβ chain in vivo. In order to reduce the complexity of cellular membranes, we used a synthetic biology approach and reconstituted the TCR in liposomes of defined lipid composition. Both cholesterol and sphingomyelin were required for the formation of TCR dimers in phosphatidylcholine-containing large unilamellar vesicles. Further, the TCR was localized in the liquid disordered phase in giant unilamellar vesicles. We propose a model in which cholesterol and sphingomyelin binding to the TCRβ chain causes TCR dimerization. The lipid-induced TCR nanoclustering enhances the avidity to antigen and thus might be involved in enhanced sensitivity of memory compared with naive T cells. Our work contributes to the understanding of the function of specific nonannular lipid-membrane protein interactions.
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Affiliation(s)
- Eszter Molnár
- Max Planck Institute of Immunobiology and Epigenetics, 79108 Freiburg, Germany
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Louis-Dit-Sully C, Kubatzky KF, Lindquist JA, Blattner C, Janssen O, Schamel WWA. Meeting report: Signal transduction meets systems biology. Cell Commun Signal 2012; 10:11. [PMID: 22546078 PMCID: PMC3499392 DOI: 10.1186/1478-811x-10-11] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2012] [Accepted: 04/07/2012] [Indexed: 11/18/2022] Open
Abstract
In the 21st century, systems-wide analyses of biological processes are getting more and more realistic. Especially for the in depth analysis of signal transduction pathways and networks, various approaches of systems biology are now successfully used. The EU FP7 large integrated project SYBILLA (Systems Biology of T-cell Activation in Health and Disease) coordinates such an endeavor. By using a combination of experimental data sets and computational modelling, the consortium strives for gaining a detailed and mechanistic understanding of signal transduction processes that govern T-cell activation. In order to foster the interaction between systems biologists and experimentally working groups, SYBILLA co-organized the 15th meeting “Signal Transduction: Receptors, Mediators and Genes” together with the Signal Transduction Society (STS). Thus, the annual STS conference, held from November 7 to 9, 2011 in Weimar, Germany, provided an interdisciplinary forum for research on signal transduction with a major focus on systems biology addressing signalling events in T-cells. Here we report on a selection of ongoing projects of SYBILLA and how they were discussed at this interdisciplinary conference.
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Affiliation(s)
- Christine Louis-Dit-Sully
- Max Planck Institute of Immunobiology and Epigenetics and Biology III, Faculty of Biology, University of Freiburg, 79108, Freiburg, Germany.
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12
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Pre-clustered TCR complexes. FEBS Lett 2010; 584:4832-7. [DOI: 10.1016/j.febslet.2010.09.004] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2010] [Revised: 08/21/2010] [Accepted: 09/01/2010] [Indexed: 11/22/2022]
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