1
|
Meril S, Bahlsen M, Eisenstein M, Savidor A, Levin Y, Bialik S, Pietrokovski S, Kimchi A. Loss-of-function cancer-linked mutations in the EIF4G2 non-canonical translation initiation factor. Life Sci Alliance 2024; 7:e202302338. [PMID: 38129098 PMCID: PMC10746786 DOI: 10.26508/lsa.202302338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 12/12/2023] [Accepted: 12/12/2023] [Indexed: 12/23/2023] Open
Abstract
Tumor cells often exploit the protein translation machinery, resulting in enhanced protein expression essential for tumor growth. Since canonical translation initiation is often suppressed because of cell stress in the tumor microenvironment, non-canonical translation initiation mechanisms become particularly important for shaping the tumor proteome. EIF4G2 is a non-canonical translation initiation factor that mediates internal ribosome entry site (IRES)- and uORF-dependent initiation mechanisms, which can be used to modulate protein expression in cancer. Here, we explored the contribution of EIF4G2 to cancer by screening the COSMIC database for EIF4G2 somatic mutations in cancer patients. Functional examination of missense mutations revealed deleterious effects on EIF4G2 protein-protein interactions and, importantly, on its ability to mediate non-canonical translation initiation. Specifically, one mutation, R178Q, led to reductions in protein expression and near-complete loss of function. Two other mutations within the MIF4G domain specifically affected EIF4G2's ability to mediate IRES-dependent translation initiation but not that of target mRNAs with uORFs. These results shed light on both the structure-function of EIF4G2 and its potential tumor suppressor effects.
Collapse
Affiliation(s)
- Sara Meril
- https://ror.org/0316ej306 Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Marcela Bahlsen
- https://ror.org/0316ej306 Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Miriam Eisenstein
- https://ror.org/0316ej306 Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Alon Savidor
- https://ror.org/0316ej306 The de Botton Institute for Protein Profiling of the Nancy and Stephen Grand Israel National Center for Personalized Medicine (G-INCPM), Weizmann Institute of Science, Rehovot, Israel
| | - Yishai Levin
- https://ror.org/0316ej306 The de Botton Institute for Protein Profiling of the Nancy and Stephen Grand Israel National Center for Personalized Medicine (G-INCPM), Weizmann Institute of Science, Rehovot, Israel
| | - Shani Bialik
- https://ror.org/0316ej306 Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Shmuel Pietrokovski
- https://ror.org/0316ej306 Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Kimchi
- https://ror.org/0316ej306 Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
2
|
Nuta GC, Gilad Y, Goldberg N, Meril S, Bahlsen M, Carvalho S, Kozer N, Barr H, Fridmann Sirkis Y, Hercík K, Břehová P, Nencka R, Bialik S, Eisenstein M, Kimchi A. Identifying a selective inhibitor of autophagy that targets ATG12-ATG3 protein-protein interaction. Autophagy 2023; 19:2372-2385. [PMID: 37184247 PMCID: PMC10351452 DOI: 10.1080/15548627.2023.2178159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 02/02/2023] [Accepted: 02/03/2023] [Indexed: 02/24/2023] Open
Abstract
Macroautophagy/autophagy is a catabolic process by which cytosolic content is engulfed, degraded and recycled. It has been implicated as a critical pathway in advanced stages of cancer, as it maintains tumor cell homeostasis and continuous growth by nourishing hypoxic or nutrient-starved tumors. Autophagy also supports alternative cellular trafficking pathways, providing a mechanism of non-canonical secretion of inflammatory cytokines. This opens a significant therapeutic opportunity for using autophagy inhibitors in cancer and acute inflammatory responses. Here we developed a high throughput compound screen to identify inhibitors of protein-protein interaction (PPI) in autophagy, based on the protein-fragment complementation assay (PCA). We chose to target the ATG12-ATG3 PPI, as this interaction is indispensable for autophagosome formation, and the analyzed structure of the interaction interface predicts that it may be amenable to inhibition by small molecules. We screened 41,161 compounds yielding 17 compounds that effectively inhibit the ATG12-ATG3 interaction in the PCA platform, and which were subsequently filtered by their ability to inhibit autophagosome formation in viable cells. We describe a lead compound (#189) that inhibited GFP-fused MAP1LC3B/LC3B (microtubule associated protein 1 light chain 3 beta) puncta formation in cells with IC50 value corresponding to 9.3 μM. This compound displayed a selective inhibitory effect on the growth of autophagy addicted tumor cells and inhibited secretion of IL1B/IL-1β (interleukin 1 beta) by macrophage-like cells. Compound 189 has the potential to be developed into a therapeutic drug and its discovery documents the power of targeting PPIs for acquiring specific and selective compound inhibitors of autophagy.Abbreviations: ANOVA: analysis of variance; ATG: autophagy related; CQ: chloroquine; GFP: green fluorescent protein; GLuc: Gaussia Luciferase; HEK: human embryonic kidney; IL1B: interleukin 1 beta; LPS: lipopolysaccharide; MAP1LC3B/LC3B: microtubule associated protein 1 light chain 3 beta; PCA: protein-fragment complementation assay; PDAC: pancreatic ductal adenocarcinoma; PMA: phorbol 12-myristate 13-acetate; PPI: protein-protein interaction. VCL: vinculin.
Collapse
Affiliation(s)
- Gal Chaim Nuta
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Yuval Gilad
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Nadav Goldberg
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Sara Meril
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Marcela Bahlsen
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Silvia Carvalho
- The Nancy and Stephen Grand Israel National Center for Personalized Medicine (G-INCPM), Weizmann Institute of Science, Rehovot, Israel
| | - Noga Kozer
- The Nancy and Stephen Grand Israel National Center for Personalized Medicine (G-INCPM), Weizmann Institute of Science, Rehovot, Israel
| | - Haim Barr
- The Nancy and Stephen Grand Israel National Center for Personalized Medicine (G-INCPM), Weizmann Institute of Science, Rehovot, Israel
| | - Yael Fridmann Sirkis
- Department of Life Science Core Facilities, Weizmann Institute of Science, Rehovot, Israel
| | - Kamil Hercík
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic
| | - Petra Břehová
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic
| | - Radim Nencka
- Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, Prague, Czech Republic
| | - Shani Bialik
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Miriam Eisenstein
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Kimchi
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
3
|
Pasch T, Schröder A, Kattelmann S, Eisenstein M, Pietrokovski S, Kümmel D, Mootz HD. Structural and biochemical analysis of a novel atypically split intein reveals a conserved histidine specific to cysteine-less inteins. Chem Sci 2023; 14:5204-5213. [PMID: 37206380 PMCID: PMC10189870 DOI: 10.1039/d3sc01200j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 04/23/2023] [Indexed: 05/21/2023] Open
Abstract
Protein trans-splicing mediated by a split intein reconstitutes a protein backbone from two parts. This virtually traceless autoprocessive reaction provides the basis for numerous protein engineering applications. Protein splicing typically proceeds through two thioester or oxyester intermediates involving the side chains of cysteine or serine/threonine residues. A cysteine-less split intein has recently attracted particular interest as it can splice under oxidizing conditions and is orthogonal to disulfide or thiol bioconjugation chemistries. Here, we report the split PolB16 OarG intein, a second such cysteine-independent intein. As a unique trait, it is atypically split with a short intein-N precursor fragment of only 15 amino acids, the shortest characterized to date, which was chemically synthesized to enable protein semi-synthesis. By rational engineering we obtained a high-yielding, improved split intein mutant. Structural and mutational analysis revealed the dispensability of the usually crucial conserved motif N3 (block B) histidine as an obvious peculiar property. Unexpectedly, we identified a previously unnoticed histidine in hydrogen-bond forming distance to the catalytic serine 1 as critical for splicing. This histidine has been overlooked so far in multiple sequence alignments and is highly conserved only in cysteine-independent inteins as a part of a newly discovered motif NX. The motif NX histidine is thus likely of general importance to the specialized environment in the active site required in this intein subgroup. Together, our study advances the toolbox as well as the structural and mechanistic understanding of cysteine-less inteins.
Collapse
Affiliation(s)
- Tim Pasch
- Institute of Biochemistry, University of Münster Corrensstr. 36 48149 Münster Germany
| | - Alexander Schröder
- Institute of Biochemistry, University of Münster Corrensstr. 36 48149 Münster Germany
| | - Sabrina Kattelmann
- Institute of Biochemistry, University of Münster Corrensstr. 36 48149 Münster Germany
| | - Miriam Eisenstein
- Department of Molecular Genetics, Weizmann Institute of Science Rehovot 76100 Israel
| | - Shmuel Pietrokovski
- Department of Molecular Genetics, Weizmann Institute of Science Rehovot 76100 Israel
| | - Daniel Kümmel
- Institute of Biochemistry, University of Münster Corrensstr. 36 48149 Münster Germany
| | - Henning D Mootz
- Institute of Biochemistry, University of Münster Corrensstr. 36 48149 Münster Germany
| |
Collapse
|
4
|
Yifrach E, Rudowitz M, Cruz-Zaragoza LD, Tirosh A, Gazi Z, Peleg Y, Kunze M, Eisenstein M, Schliebs W, Schuldiner M, Erdmann R, Zalckvar E. Determining the targeting specificity of the selective peroxisomal targeting factor Pex9. Biol Chem 2023; 404:121-133. [PMID: 36279206 DOI: 10.1515/hsz-2022-0116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Accepted: 08/24/2022] [Indexed: 11/15/2022]
Abstract
Accurate and regulated protein targeting is crucial for cellular function and proteostasis. In the yeast Saccharomyces cerevisiae, peroxisomal matrix proteins, which harboring a Peroxisomal Targeting Signal 1 (PTS1), can utilize two paralog targeting factors, Pex5 and Pex9, to target correctly. While both proteins are similar and recognize PTS1 signals, Pex9 targets only a subset of Pex5 cargo proteins. However, what defines this substrate selectivity remains uncovered. Here, we used unbiased screens alongside directed experiments to identify the properties underlying Pex9 targeting specificity. We find that the specificity of Pex9 is largely determined by the hydrophobic nature of the amino acid preceding the PTS1 tripeptide of its cargos. This is explained by structural modeling of the PTS1-binding cavities of the two factors showing differences in their surface hydrophobicity. Our work outlines the mechanism by which targeting specificity is achieved, enabling dynamic rewiring of the peroxisomal proteome in changing metabolic needs.
Collapse
Affiliation(s)
- Eden Yifrach
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Markus Rudowitz
- Department of Systems Biochemistry, Institute of Biochemistry and Pathobiochemistry, Ruhr-University Bochum, Bochum, Germany
| | - Luis Daniel Cruz-Zaragoza
- Department of Systems Biochemistry, Institute of Biochemistry and Pathobiochemistry, Ruhr-University Bochum, Bochum, Germany
| | - Asa Tirosh
- Life Sciences Core Facilities (LSCF), The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Zohar Gazi
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Yoav Peleg
- Life Sciences Core Facilities (LSCF), The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Markus Kunze
- Department of Pathobiology of the Nervous System, Center for Brain research, Medical University of Vienna, Spitalgasse 4, A-1090 Vienna, Austria
| | - Miriam Eisenstein
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Wolfgang Schliebs
- Department of Systems Biochemistry, Institute of Biochemistry and Pathobiochemistry, Ruhr-University Bochum, Bochum, Germany
| | - Maya Schuldiner
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Ralf Erdmann
- Department of Systems Biochemistry, Institute of Biochemistry and Pathobiochemistry, Ruhr-University Bochum, Bochum, Germany
| | - Einat Zalckvar
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot 7610001, Israel
| |
Collapse
|
5
|
Yifrach E, Holbrook-Smith D, Bürgi J, Othman A, Eisenstein M, van Roermund CW, Visser W, Tirosh A, Rudowitz M, Bibi C, Galor S, Weill U, Fadel A, Peleg Y, Erdmann R, Waterham HR, Wanders RJA, Wilmanns M, Zamboni N, Schuldiner M, Zalckvar E. Systematic multi-level analysis of an organelle proteome reveals new peroxisomal functions. Mol Syst Biol 2022; 18:e11186. [PMID: 36164978 PMCID: PMC9513677 DOI: 10.15252/msb.202211186] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 08/29/2022] [Accepted: 09/05/2022] [Indexed: 11/18/2022] Open
Abstract
Seventy years following the discovery of peroxisomes, their complete proteome, the peroxi‐ome, remains undefined. Uncovering the peroxi‐ome is crucial for understanding peroxisomal activities and cellular metabolism. We used high‐content microscopy to uncover peroxisomal proteins in the model eukaryote – Saccharomyces cerevisiae. This strategy enabled us to expand the known peroxi‐ome by ~40% and paved the way for performing systematic, whole‐organellar proteome assays. By characterizing the sub‐organellar localization and protein targeting dependencies into the organelle, we unveiled non‐canonical targeting routes. Metabolomic analysis of the peroxi‐ome revealed the role of several newly identified resident enzymes. Importantly, we found a regulatory role of peroxisomes during gluconeogenesis, which is fundamental for understanding cellular metabolism. With the current recognition that peroxisomes play a crucial part in organismal physiology, our approach lays the foundation for deep characterization of peroxisome function in health and disease.
Collapse
Affiliation(s)
- Eden Yifrach
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | | | - Jérôme Bürgi
- Hamburg Unit c/o DESY, European Molecular Biology Laboratory (EMBL), Hamburg, Germany
| | - Alaa Othman
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Miriam Eisenstein
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | - Carlo Wt van Roermund
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam Gastroenterology, Endocrinology & Metabolism, Amsterdam University Medical Centers - Location AMC, Amsterdam, The Netherlands
| | - Wouter Visser
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam Gastroenterology, Endocrinology & Metabolism, Amsterdam University Medical Centers - Location AMC, Amsterdam, The Netherlands
| | - Asa Tirosh
- Life Sciences Core Facilities (LSCF), The Weizmann Institute of Science, Rehovot, Israel
| | - Markus Rudowitz
- Department of Systems Biochemistry, Institute of Biochemistry and Pathobiochemistry, Ruhr-University Bochum, Bochum, Germany
| | - Chen Bibi
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | - Shahar Galor
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | - Uri Weill
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | - Amir Fadel
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | - Yoav Peleg
- Life Sciences Core Facilities (LSCF), The Weizmann Institute of Science, Rehovot, Israel
| | - Ralf Erdmann
- Department of Systems Biochemistry, Institute of Biochemistry and Pathobiochemistry, Ruhr-University Bochum, Bochum, Germany
| | - Hans R Waterham
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam Gastroenterology, Endocrinology & Metabolism, Amsterdam University Medical Centers - Location AMC, Amsterdam, The Netherlands
| | - Ronald J A Wanders
- Laboratory Genetic Metabolic Diseases, Department of Clinical Chemistry, Amsterdam Gastroenterology, Endocrinology & Metabolism, Amsterdam University Medical Centers - Location AMC, Amsterdam, The Netherlands
| | - Matthias Wilmanns
- Hamburg Unit c/o DESY, European Molecular Biology Laboratory (EMBL), Hamburg, Germany.,University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nicola Zamboni
- Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland
| | - Maya Schuldiner
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| | - Einat Zalckvar
- Department of Molecular Genetics, The Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
6
|
Afanzar O, Di Paolo D, Eisenstein M, Levi K, Plochowietz A, Kapanidis AN, Berry RM, Eisenbach M. The switching mechanism of the bacterial rotary motor combines tight regulation with inherent flexibility. EMBO J 2021; 40:e104683. [PMID: 33620739 PMCID: PMC7957414 DOI: 10.15252/embj.2020104683] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 12/17/2020] [Accepted: 01/19/2021] [Indexed: 11/20/2022] Open
Abstract
Regulatory switches are wide spread in many biological systems. Uniquely among them, the switch of the bacterial flagellar motor is not an on/off switch but rather controls the motor’s direction of rotation in response to binding of the signaling protein CheY. Despite its extensive study, the molecular mechanism underlying this switch has remained largely unclear. Here, we resolved the functions of each of the three CheY‐binding sites at the switch in E. coli, as well as their different dependencies on phosphorylation and acetylation of CheY. Based on this, we propose that CheY motor switching activity is potentiated upon binding to the first site. Binding of potentiated CheY to the second site produces unstable switching and at the same time enables CheY binding to the third site, an event that stabilizes the switched state. Thereby, this mechanism exemplifies a unique combination of tight motor regulation with inherent switching flexibility.
Collapse
Affiliation(s)
- Oshri Afanzar
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Diana Di Paolo
- Biological Physics Research Group, Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK
| | - Miriam Eisenstein
- Department of Chemical Research Support, The Weizmann Institute of Science, Rehovot, Israel
| | - Kohava Levi
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| | - Anne Plochowietz
- Biological Physics Research Group, Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK
| | - Achillefs N Kapanidis
- Biological Physics Research Group, Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK
| | - Richard Michael Berry
- Biological Physics Research Group, Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK
| | - Michael Eisenbach
- Department of Biomolecular Sciences, The Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
7
|
Gabay-Maskit S, Cruz-Zaragoza LD, Shai N, Eisenstein M, Bibi C, Cohen N, Hansen T, Yifrach E, Harpaz N, Belostotsky R, Schliebs W, Schuldiner M, Erdmann R, Zalckvar E. A piggybacking mechanism enables peroxisomal localization of the glyoxylate cycle enzyme Mdh2 in yeast. J Cell Sci 2020; 133:jcs244376. [PMID: 33177075 PMCID: PMC7758625 DOI: 10.1242/jcs.244376] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 10/26/2020] [Indexed: 01/25/2023] Open
Abstract
Eukaryotic cells have evolved organelles that allow the compartmentalization and regulation of metabolic processes. Knowledge of molecular mechanisms that allow temporal and spatial organization of enzymes within organelles is therefore crucial for understanding eukaryotic metabolism. Here, we show that the yeast malate dehydrogenase 2 (Mdh2) is dually localized to the cytosol and to peroxisomes and is targeted to peroxisomes via association with Mdh3 and a Pex5-dependent piggybacking mechanism. This dual localization of Mdh2 contributes to our understanding of the glyoxylate cycle and provides a new perspective on compartmentalization of cellular metabolism, which is critical for the perception of metabolic disorders and aging.
Collapse
Affiliation(s)
- Shiran Gabay-Maskit
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Luis Daniel Cruz-Zaragoza
- Abteilung für Systembiochemie, Institut für Biochemie und Pathobiochemie, Medizinische Fakultät, Ruhr-Universität Bochum, Bochum D-44780, Germany
| | - Nadav Shai
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Miriam Eisenstein
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Chen Bibi
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Nir Cohen
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Tobias Hansen
- Abteilung für Systembiochemie, Institut für Biochemie und Pathobiochemie, Medizinische Fakultät, Ruhr-Universität Bochum, Bochum D-44780, Germany
| | - Eden Yifrach
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Nofar Harpaz
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Ruth Belostotsky
- Division of Pediatric Nephrology, Shaare Zedek Medical Center, Jerusalem, Israel
| | - Wolfgang Schliebs
- Abteilung für Systembiochemie, Institut für Biochemie und Pathobiochemie, Medizinische Fakultät, Ruhr-Universität Bochum, Bochum D-44780, Germany
| | - Maya Schuldiner
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Ralf Erdmann
- Abteilung für Systembiochemie, Institut für Biochemie und Pathobiochemie, Medizinische Fakultät, Ruhr-Universität Bochum, Bochum D-44780, Germany
| | - Einat Zalckvar
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| |
Collapse
|
8
|
Lensink MF, Brysbaert G, Nadzirin N, Velankar S, Chaleil RAG, Gerguri T, Bates PA, Laine E, Carbone A, Grudinin S, Kong R, Liu RR, Xu XM, Shi H, Chang S, Eisenstein M, Karczynska A, Czaplewski C, Lubecka E, Lipska A, Krupa P, Mozolewska M, Golon Ł, Samsonov S, Liwo A, Crivelli S, Pagès G, Karasikov M, Kadukova M, Yan Y, Huang SY, Rosell M, Rodríguez-Lumbreras LA, Romero-Durana M, Díaz-Bueno L, Fernandez-Recio J, Christoffer C, Terashi G, Shin WH, Aderinwale T, Subraman SRMV, Kihara D, Kozakov D, Vajda S, Porter K, Padhorny D, Desta I, Beglov D, Ignatov M, Kotelnikov S, Moal IH, Ritchie DW, de Beauchêne IC, Maigret B, Devignes MD, Echartea MER, Barradas-Bautista D, Cao Z, Cavallo L, Oliva R, Cao Y, Shen Y, Baek M, Park T, Woo H, Seok C, Braitbard M, Bitton L, Scheidman-Duhovny D, Dapkūnas J, Olechnovič K, Venclovas Č, Kundrotas PJ, Belkin S, Chakravarty D, Badal VD, Vakser IA, Vreven T, Vangaveti S, Borrman T, Weng Z, Guest JD, Gowthaman R, Pierce BG, Xu X, Duan R, Qiu L, Hou J, Merideth BR, Ma Z, Cheng J, Zou X, Koukos PI, Roel-Touris J, Ambrosetti F, Geng C, Schaarschmidt J, Trellet ME, Melquiond ASJ, Xue L, Jiménez-García B, van Noort CW, Honorato RV, Bonvin AMJJ, Wodak SJ. Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment. Proteins 2019; 87:1200-1221. [PMID: 31612567 PMCID: PMC7274794 DOI: 10.1002/prot.25838] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2019] [Revised: 09/26/2019] [Accepted: 09/27/2019] [Indexed: 12/28/2022]
Abstract
We present the results for CAPRI Round 46, the third joint CASP-CAPRI protein assembly prediction challenge. The Round comprised a total of 20 targets including 14 homo-oligomers and 6 heterocomplexes. Eight of the homo-oligomer targets and one heterodimer comprised proteins that could be readily modeled using templates from the Protein Data Bank, often available for the full assembly. The remaining 11 targets comprised 5 homodimers, 3 heterodimers, and two higher-order assemblies. These were more difficult to model, as their prediction mainly involved "ab-initio" docking of subunit models derived from distantly related templates. A total of ~30 CAPRI groups, including 9 automatic servers, submitted on average ~2000 models per target. About 17 groups participated in the CAPRI scoring rounds, offered for most targets, submitting ~170 models per target. The prediction performance, measured by the fraction of models of acceptable quality or higher submitted across all predictors groups, was very good to excellent for the nine easy targets. Poorer performance was achieved by predictors for the 11 difficult targets, with medium and high quality models submitted for only 3 of these targets. A similar performance "gap" was displayed by scorer groups, highlighting yet again the unmet challenge of modeling the conformational changes of the protein components that occur upon binding or that must be accounted for in template-based modeling. Our analysis also indicates that residues in binding interfaces were less well predicted in this set of targets than in previous Rounds, providing useful insights for directions of future improvements.
Collapse
Affiliation(s)
- Marc F. Lensink
- University of Lille, CNRS UMR8576 UGSF, Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France
| | - Guillaume Brysbaert
- University of Lille, CNRS UMR8576 UGSF, Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France
| | - Nurul Nadzirin
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Sameer Velankar
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | | | - Tereza Gerguri
- Biomolecular Modelling Laboratory, The Francis Crick Institute, London, UK
| | - Paul A. Bates
- Biomolecular Modelling Laboratory, The Francis Crick Institute, London, UK
| | - Elodie Laine
- CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), Sorbonne Université, Paris, France
| | - Alessandra Carbone
- CNRS, IBPS, Laboratoire de Biologie Computationnelle et Quantitative (LCQB), Sorbonne Université, Paris, France
- Institut Universitaire de France (IUF), Paris, France
| | - Sergei Grudinin
- Université Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France
| | - Ren Kong
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China
| | - Ran-Ran Liu
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China
| | - Xi-Ming Xu
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China
| | - Hang Shi
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China
| | - Shan Chang
- Institute of Bioinformatics and Medical Engineering, School of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou, China
| | - Miriam Eisenstein
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | | | | | - Emilia Lubecka
- Institute of Informatics, Faculty of Mathematics, Physics, and Informatics, University of Gdańsk, Gdańsk, Poland
| | | | - Paweł Krupa
- Polish Academy of Sciences, Institute of Physics, Warsaw, Poland
| | | | - Łukasz Golon
- Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland
| | | | - Adam Liwo
- Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland
- School of Computational Sciences, Korea Institute for Advanced Study, Seoul, South Korea
| | | | - Guillaume Pagès
- Université Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France
| | | | - Maria Kadukova
- Université Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, Grenoble, France
- Moscow Institute of Physics and Technology, Dolgoprudniy, Russia
| | - Yumeng Yan
- School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Sheng-You Huang
- School of Physics, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Mireia Rosell
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Instituto de Ciencias de la Vid y del Vino (ICVV-CSIC), Logroño, Spain
| | - Luis A. Rodríguez-Lumbreras
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Instituto de Ciencias de la Vid y del Vino (ICVV-CSIC), Logroño, Spain
| | | | | | - Juan Fernandez-Recio
- Barcelona Supercomputing Center (BSC), Barcelona, Spain
- Instituto de Ciencias de la Vid y del Vino (ICVV-CSIC), Logroño, Spain
- Instituto de Biología Molecular de Barcelona (IBMB-CSIC), Barcelona, Spain
| | | | - Genki Terashi
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana
| | - Woong-Hee Shin
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana
| | - Tunde Aderinwale
- Department of Computer Science, Purdue University, West Lafayette, Indiana
| | | | - Daisuke Kihara
- Department of Computer Science, Purdue University, West Lafayette, Indiana
| | - Dima Kozakov
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York
| | - Sandor Vajda
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
- Department of Chemistry, Boston University, Boston, Massachusetts
| | - Kathryn Porter
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Dzmitry Padhorny
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York
| | - Israel Desta
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Dmitri Beglov
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Mikhail Ignatov
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York
| | - Sergey Kotelnikov
- Moscow Institute of Physics and Technology, Dolgoprudniy, Russia
- Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York
| | - Iain H. Moal
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | | | | | | | | | | | - Didier Barradas-Bautista
- Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Zhen Cao
- Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Luigi Cavallo
- Physical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Romina Oliva
- Department of Sciences and Technologies, University of Naples “Parthenope”, Napoli, Italy
| | - Yue Cao
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas
| | - Yang Shen
- Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas
| | - Minkyung Baek
- Department of Chemistry, Seoul National University, Seoul, Republic of Korea
| | - Taeyong Park
- Department of Chemistry, Seoul National University, Seoul, Republic of Korea
| | - Hyeonuk Woo
- Department of Chemistry, Seoul National University, Seoul, Republic of Korea
| | - Chaok Seok
- Department of Chemistry, Seoul National University, Seoul, Republic of Korea
| | - Merav Braitbard
- Department of Biological Chemistry, Institute of Live Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Lirane Bitton
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Dina Scheidman-Duhovny
- Department of Biological Chemistry, Institute of Live Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
- School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Justas Dapkūnas
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Kliment Olechnovič
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Česlovas Venclovas
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
| | - Petras J. Kundrotas
- Computational Biology Program and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas
| | - Saveliy Belkin
- Computational Biology Program and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas
| | - Devlina Chakravarty
- Computational Biology Program and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas
| | - Varsha D. Badal
- Computational Biology Program and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas
| | - Ilya A. Vakser
- Computational Biology Program and Department of Molecular Biosciences, University of Kansas, Lawrence, Kansas
| | - Thom Vreven
- Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Sweta Vangaveti
- Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Tyler Borrman
- Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Zhiping Weng
- Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts
| | - Johnathan D. Guest
- University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland
| | - Ragul Gowthaman
- University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland
| | - Brian G. Pierce
- University of Maryland Institute for Bioscience and Biotechnology Research, Rockville, Maryland
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland
| | - Xianjin Xu
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri
| | - Rui Duan
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri
| | - Liming Qiu
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri
| | - Jie Hou
- Department of Computer Science, University of Missouri, Columbia, Missouri
| | - Benjamin Ryan Merideth
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri
- Informatics Institute, University of Missouri, Columbia, Missouri
| | - Zhiwei Ma
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri
- Department of Physics and Astronomy, University of Missouri, Columbia, Missouri
| | - Jianlin Cheng
- Department of Computer Science, University of Missouri, Columbia, Missouri
- Informatics Institute, University of Missouri, Columbia, Missouri
| | - Xiaoqin Zou
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri
- Informatics Institute, University of Missouri, Columbia, Missouri
- Department of Physics and Astronomy, University of Missouri, Columbia, Missouri
- Department of Biochemistry, University of Missouri, Columbia, Missouri
| | - Panagiotis I. Koukos
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Jorge Roel-Touris
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Francesco Ambrosetti
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Cunliang Geng
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Jörg Schaarschmidt
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Mikael E. Trellet
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Adrien S. J. Melquiond
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Li Xue
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Brian Jiménez-García
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Charlotte W. van Noort
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Rodrigo V. Honorato
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | - Alexandre M. J. J. Bonvin
- Computational Structural Biology Group, Department of Chemistry, Faculty of Science, Utrecht University, Utrecht, The Netherlands
| | | |
Collapse
|
9
|
Nuta GC, Gilad Y, Gershoni M, Sznajderman A, Schlesinger T, Bialik S, Eisenstein M, Pietrokovski S, Kimchi A. A cancer associated somatic mutation in LC3B attenuates its binding to E1-like ATG7 protein and subsequent lipidation. Autophagy 2019; 15:438-452. [PMID: 30238850 PMCID: PMC6351123 DOI: 10.1080/15548627.2018.1525476] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 08/30/2018] [Accepted: 09/14/2018] [Indexed: 02/01/2023] Open
Abstract
Macroautophagy/autophagy is a conserved catabolic process that maintains cellular homeostasis under basal growth and stress conditions. In cancer, autophagy can either prevent or promote tumor growth, at early or advanced stages, respectively. We screened public databases to identify autophagy-related somatic mutations in cancer, using a computational approach to identify cancer mutational target sites, employing exact statistics. The top significant hit was a missense mutation (Y113C) in the MAP1LC3B/LC3B (microtubule associated protein 1 light chain 3 beta) protein, which occurred at a significant frequency in cancer, and was detected in early stages in primary tumors of patients with known tumor lineage. The mutation reduced the formation of GFP-LC3B puncta and attenuated LC3B lipidation during Torin1-induced autophagy. Its effect on the direct physical interaction of LC3B with each of the 4 proteins that control its maturation or lipidation was tested by applying a protein-fragment complementation assay and co-immunoprecipitation experiments. Interactions with ATG4A and ATG4B proteases were reduced, yet without perturbing the cleavage of mutant LC3B. Most importantly, the mutation significantly reduced the interaction with the E1-like enzyme ATG7, but not the direct interaction with the E2-like enzyme ATG3, suggesting a selective perturbation in the binding of LC3B to some of its partner proteins. Structure analysis and molecular dynamics simulations of LC3B protein and its mutant suggest that the mutation changes the conformation of a loop that has several contact sites with ATG4B and the ATG7 homodimer. We suggest that this loss-of-function mutation, which attenuates autophagy, may promote early stages of cancer development.
Collapse
Affiliation(s)
- Gal Chaim Nuta
- Departments of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Yuval Gilad
- Departments of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Moran Gershoni
- Departments of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Arielle Sznajderman
- Departments of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Tomer Schlesinger
- Departments of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Shani Bialik
- Departments of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Miriam Eisenstein
- Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
| | - Shmuel Pietrokovski
- Departments of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | - Adi Kimchi
- Departments of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| |
Collapse
|
10
|
Shiloh R, Gilad Y, Ber Y, Eisenstein M, Aweida D, Bialik S, Cohen S, Kimchi A. Non-canonical activation of DAPK2 by AMPK constitutes a new pathway linking metabolic stress to autophagy. Nat Commun 2018; 9:1759. [PMID: 29717115 PMCID: PMC5931534 DOI: 10.1038/s41467-018-03907-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2017] [Accepted: 03/21/2018] [Indexed: 12/21/2022] Open
Abstract
Autophagy is an intracellular degradation process essential for adaptation to metabolic stress. DAPK2 is a calmodulin-regulated protein kinase, which has been implicated in autophagy regulation, though the mechanism is unclear. Here, we show that the central metabolic sensor, AMPK, phosphorylates DAPK2 at a critical site in the protein structure, between the catalytic and the calmodulin-binding domains. This phosphorylation activates DAPK2 by functionally mimicking calmodulin binding and mitigating an inhibitory autophosphorylation, providing a novel, alternative mechanism for DAPK2 activation during metabolic stress. In addition, we show that DAPK2 phosphorylates the core autophagic machinery protein, Beclin-1, leading to dissociation of its inhibitor, Bcl-XL. Importantly, phosphorylation of DAPK2 by AMPK enhances DAPK2’s ability to phosphorylate Beclin-1, and depletion of DAPK2 reduces autophagy in response to AMPK activation. Our study reveals a unique calmodulin-independent mechanism for DAPK2 activation, critical to its function as a novel downstream effector of AMPK in autophagy. DAPK2 is a calmodulin-regulated protein kinase implicated in autophagy regulation, but how physiological stress leads to its activation is yet unknown. Here, the authors show that the central metabolic sensor AMPK phosphorylates DAPK2 to promote autophagy in a calmodulin-independent mechanism.
Collapse
Affiliation(s)
- Ruth Shiloh
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Yuval Gilad
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Yaara Ber
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Miriam Eisenstein
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Dina Aweida
- Faculty of Biology, Technion Israel Institute of Technology, Haifa, 32000, Israel
| | - Shani Bialik
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel
| | - Shenhav Cohen
- Faculty of Biology, Technion Israel Institute of Technology, Haifa, 32000, Israel
| | - Adi Kimchi
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, 76100, Israel.
| |
Collapse
|
11
|
Licht-Murava A, Paz R, Vaks L, Avrahami L, Plotkin B, Eisenstein M, Eldar-Finkelman H. A unique type of GSK-3 inhibitor brings new opportunities to the clinic. Sci Signal 2016; 9. [DOI: 10.1126/scisignal.aah7102] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
A substrate peptide that the kinase GSK-3 converts into its own inhibitor improves symptoms and cognitive function in an Alzheimer’s disease model.
Collapse
Affiliation(s)
- Avital Licht-Murava
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Rom Paz
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Lilach Vaks
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Limor Avrahami
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Batya Plotkin
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| | - Miriam Eisenstein
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Hagit Eldar-Finkelman
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv 69978, Israel
| |
Collapse
|
12
|
Lensink MF, Velankar S, Kryshtafovych A, Huang SY, Schneidman-Duhovny D, Sali A, Segura J, Fernandez-Fuentes N, Viswanath S, Elber R, Grudinin S, Popov P, Neveu E, Lee H, Baek M, Park S, Heo L, Rie Lee G, Seok C, Qin S, Zhou HX, Ritchie DW, Maigret B, Devignes MD, Ghoorah A, Torchala M, Chaleil RAG, Bates PA, Ben-Zeev E, Eisenstein M, Negi SS, Weng Z, Vreven T, Pierce BG, Borrman TM, Yu J, Ochsenbein F, Guerois R, Vangone A, Rodrigues JPGLM, van Zundert G, Nellen M, Xue L, Karaca E, Melquiond ASJ, Visscher K, Kastritis PL, Bonvin AMJJ, Xu X, Qiu L, Yan C, Li J, Ma Z, Cheng J, Zou X, Shen Y, Peterson LX, Kim HR, Roy A, Han X, Esquivel-Rodriguez J, Kihara D, Yu X, Bruce NJ, Fuller JC, Wade RC, Anishchenko I, Kundrotas PJ, Vakser IA, Imai K, Yamada K, Oda T, Nakamura T, Tomii K, Pallara C, Romero-Durana M, Jiménez-García B, Moal IH, Férnandez-Recio J, Joung JY, Kim JY, Joo K, Lee J, Kozakov D, Vajda S, Mottarella S, Hall DR, Beglov D, Mamonov A, Xia B, Bohnuud T, Del Carpio CA, Ichiishi E, Marze N, Kuroda D, Roy Burman SS, Gray JJ, Chermak E, Cavallo L, Oliva R, Tovchigrechko A, Wodak SJ. Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment. Proteins 2016; 84 Suppl 1:323-48. [PMID: 27122118 PMCID: PMC5030136 DOI: 10.1002/prot.25007] [Citation(s) in RCA: 116] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 12/30/2015] [Accepted: 02/02/2016] [Indexed: 12/26/2022]
Abstract
We present the results for CAPRI Round 30, the first joint CASP-CAPRI experiment, which brought together experts from the protein structure prediction and protein-protein docking communities. The Round comprised 25 targets from amongst those submitted for the CASP11 prediction experiment of 2014. The targets included mostly homodimers, a few homotetramers, and two heterodimers, and comprised protein chains that could readily be modeled using templates from the Protein Data Bank. On average 24 CAPRI groups and 7 CASP groups submitted docking predictions for each target, and 12 CAPRI groups per target participated in the CAPRI scoring experiment. In total more than 9500 models were assessed against the 3D structures of the corresponding target complexes. Results show that the prediction of homodimer assemblies by homology modeling techniques and docking calculations is quite successful for targets featuring large enough subunit interfaces to represent stable associations. Targets with ambiguous or inaccurate oligomeric state assignments, often featuring crystal contact-sized interfaces, represented a confounding factor. For those, a much poorer prediction performance was achieved, while nonetheless often providing helpful clues on the correct oligomeric state of the protein. The prediction performance was very poor for genuine tetrameric targets, where the inaccuracy of the homology-built subunit models and the smaller pair-wise interfaces severely limited the ability to derive the correct assembly mode. Our analysis also shows that docking procedures tend to perform better than standard homology modeling techniques and that highly accurate models of the protein components are not always required to identify their association modes with acceptable accuracy. Proteins 2016; 84(Suppl 1):323-348. © 2016 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Marc F Lensink
- University Lille, CNRS UMR8576 UGSF, Lille, F-59000, France.
| | - Sameer Velankar
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD, United Kingdom
| | | | - Shen-You Huang
- Research Support Computing, University of Missouri Bioinformatics Consortium, and Department of Computer Science, University of Missouri, Columbia, Missouri, 65211
| | - Dina Schneidman-Duhovny
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, 94158
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94158
| | - Andrej Sali
- Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, 94158
- Department of Pharmaceutical Chemistry, University of California San Francisco, San Francisco, California, 94158
- California Institute for Quantitative Biosciences (QB3), University of California San Francisco, San Francisco, California, 94158
| | - Joan Segura
- GN7 of the National Institute for Bioinformatics (INB) and Biocomputing Unit, National Center of Biotechnology (CSIC), Madrid, 28049, Spain
| | - Narcis Fernandez-Fuentes
- Institute of Biological, Environmental and Rural Sciences (IBERS), Aberystwyth University, Aberystwyth, SY233FG, United Kingdom
| | - Shruthi Viswanath
- Department of Computer Science, University of Texas at Austin, Austin, Texas, 78712
- Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas, 78712
| | - Ron Elber
- Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, Texas, 78712
- Department of Chemistry, University of Texas at Austin, Austin, Texas, 78712
| | - Sergei Grudinin
- LJK, University Grenoble Alpes, CNRS, Grenoble, 38000, France
- INRIA, Grenoble, 38000, France
| | - Petr Popov
- LJK, University Grenoble Alpes, CNRS, Grenoble, 38000, France
- INRIA, Grenoble, 38000, France
- Moscow Institute of Physics and Technology, Dolgoprudniy, Russia
| | - Emilie Neveu
- LJK, University Grenoble Alpes, CNRS, Grenoble, 38000, France
- INRIA, Grenoble, 38000, France
| | - Hasup Lee
- Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea
| | - Minkyung Baek
- Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea
| | - Sangwoo Park
- Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea
| | - Lim Heo
- Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea
| | - Gyu Rie Lee
- Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea
| | - Chaok Seok
- Department of Chemistry, Seoul National University, Seoul, 151-747, Republic of Korea
| | - Sanbo Qin
- Department of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida, 32306, USA
| | - Huan-Xiang Zhou
- Department of Physics and Institute of Molecular Biophysics, Florida State University, Tallahassee, Florida, 32306, USA
| | | | - Bernard Maigret
- CNRS, LORIA, Campus Scientifique, BP 239, Vandœuvre-lès-Nancy, 54506, France
| | | | - Anisah Ghoorah
- Department of Computer Science and Engineering, University of Mauritius, Reduit, Mauritius
| | - Mieczyslaw Torchala
- Biomolecular Modelling Laboratory, the Francis Crick Institute, Lincoln's Inn Fields Laboratory, London, WC2A 3LY, United Kingdom
| | - Raphaël A G Chaleil
- Biomolecular Modelling Laboratory, the Francis Crick Institute, Lincoln's Inn Fields Laboratory, London, WC2A 3LY, United Kingdom
| | - Paul A Bates
- Biomolecular Modelling Laboratory, the Francis Crick Institute, Lincoln's Inn Fields Laboratory, London, WC2A 3LY, United Kingdom
| | - Efrat Ben-Zeev
- G-INCPM, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Miriam Eisenstein
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, 7610001, Israel
| | - Surendra S Negi
- Sealy Center for Structural Biology and Molecular Biophysics, University of Texas Medical Branch, 301 University Boulevard, Galveston, Texas, 77555-0857
| | - Zhiping Weng
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605
| | - Thom Vreven
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605
| | - Brian G Pierce
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605
| | - Tyler M Borrman
- Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, Massachusetts, 01605
| | - Jinchao Yu
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, 91191, France
| | - Françoise Ochsenbein
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, 91191, France
| | - Raphaël Guerois
- Institute for Integrative Biology of the Cell (I2BC), CEA, CNRS, University Paris-Saclay, CEA-Saclay, Gif-sur-Yvette, 91191, France
| | - Anna Vangone
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - João P G L M Rodrigues
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Gydo van Zundert
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Mehdi Nellen
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Li Xue
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Ezgi Karaca
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Adrien S J Melquiond
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Koen Visscher
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Panagiotis L Kastritis
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Alexandre M J J Bonvin
- Bijvoet Center for Biomolecular Research, Faculty of Science - Chemistry, Utrecht University, Padualaan 8, Utrecht, 3584 CH, The Netherlands
| | - Xianjin Xu
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri, 65211
| | - Liming Qiu
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri, 65211
| | - Chengfei Yan
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri, 65211
- Department of Physics and Astronomy, University of Missouri, Columbia, Missouri, 65211
| | - Jilong Li
- Department of Computer Science, University of Missouri, Columbia, Missouri, 65211
| | - Zhiwei Ma
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri, 65211
- Department of Physics and Astronomy, University of Missouri, Columbia, Missouri, 65211
| | - Jianlin Cheng
- Department of Computer Science, University of Missouri, Columbia, Missouri, 65211
- Informatics Institute, University of Missouri, Columbia, Missouri, 65211
| | - Xiaoqin Zou
- Dalton Cardiovascular Research Center, University of Missouri, Columbia, Missouri, 65211
- Department of Physics and Astronomy, University of Missouri, Columbia, Missouri, 65211
- Informatics Institute, University of Missouri, Columbia, Missouri, 65211
- Department of Biochemistry, University of Missouri, Columbia, Missouri, 65211
| | - Yang Shen
- Toyota Technological Institute at Chicago, 6045 S Kenwood Avenue, Chicago, Illinois, 60637
| | - Lenna X Peterson
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907
| | - Hyung-Rae Kim
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907
| | - Amit Roy
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907
- Bioinformatics and Computational Biosciences Branch, Rocky Mountain Laboratories, National Institutes of Health, Hamilton, Montano 59840
| | - Xusi Han
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907
| | | | - Daisuke Kihara
- Department of Biological Sciences, Purdue University, West Lafayette, Indiana, 47907
- Department of Computer Science, Purdue University, West Lafayette, IN, USA, 47907
| | - Xiaofeng Yu
- Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
| | - Neil J Bruce
- Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
| | - Jonathan C Fuller
- Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
| | - Rebecca C Wade
- Molecular and Cellular Modeling Group, Heidelberg Institute for Theoretical Studies (HITS), Heidelberg, Germany
- Center for Molecular Biology (ZMBH), DKFZ-ZMBH Alliance, Heidelberg University, Heidelberg, Germany
- Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Heidelberg, Germany
| | - Ivan Anishchenko
- Center for Computational Biology, The University of Kansas, Lawrence, Kansas, 66047
| | - Petras J Kundrotas
- Center for Computational Biology, The University of Kansas, Lawrence, Kansas, 66047
| | - Ilya A Vakser
- Center for Computational Biology, The University of Kansas, Lawrence, Kansas, 66047
- Department of Molecular Biosciences, The University of Kansas, Lawrence, Kansas, 66047
| | - Kenichiro Imai
- Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), Koto-Ku, Japan
| | - Kazunori Yamada
- Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), Koto-Ku, Japan
| | - Toshiyuki Oda
- Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), Koto-Ku, Japan
| | - Tsukasa Nakamura
- Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Japan
| | - Kentaro Tomii
- Computational Biology Research Center (CBRC), National Institute of Advanced Industrial Science and Technology (AIST), Koto-Ku, Japan
- Graduate School of Frontier Sciences, the University of Tokyo, Kashiwa, Japan
| | - Chiara Pallara
- Joint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, C/Jordi Girona 29, Barcelona, 08034, Spain
| | - Miguel Romero-Durana
- Joint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, C/Jordi Girona 29, Barcelona, 08034, Spain
| | - Brian Jiménez-García
- Joint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, C/Jordi Girona 29, Barcelona, 08034, Spain
| | - Iain H Moal
- Joint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, C/Jordi Girona 29, Barcelona, 08034, Spain
| | - Juan Férnandez-Recio
- Joint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, C/Jordi Girona 29, Barcelona, 08034, Spain
| | - Jong Young Joung
- Center for in-Silico Protein Science, Korea Institute for Advanced Study, Seoul, 130-722, Korea
| | - Jong Yun Kim
- Center for in-Silico Protein Science, Korea Institute for Advanced Study, Seoul, 130-722, Korea
| | - Keehyoung Joo
- Center for in-Silico Protein Science, Korea Institute for Advanced Study, Seoul, 130-722, Korea
- Center for Advanced Computation, Korea Institute for Advanced Study, Seoul, 130-722, Korea
| | - Jooyoung Lee
- Center for in-Silico Protein Science, Korea Institute for Advanced Study, Seoul, 130-722, Korea
- School of Computational Science, Korea Institute for Advanced Study, Seoul, 130-722, Korea
| | - Dima Kozakov
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Sandor Vajda
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
- Department of Chemistry, Boston University, Boston, Massachusetts
| | - Scott Mottarella
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - David R Hall
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Dmitri Beglov
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Artem Mamonov
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Bing Xia
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Tanggis Bohnuud
- Department of Biomedical Engineering, Boston University, Boston, Massachusetts
| | - Carlos A Del Carpio
- Institute of Biological Diversity, International Pacific Institute of Indiana, Bloomington, Indiana, 47401
- Drosophila Genetic Resource Center, Kyoto Institute of Technology, Ukyo-Ku, 616-8354, Japan
| | - Eichiro Ichiishi
- International University of Health and Welfare Hospital (IUHW Hospital), Asushiobara-City, Tochigi Prefecture, 329-2763, Japan
| | - Nicholas Marze
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, 21218
| | - Daisuke Kuroda
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, 21218
| | - Shourya S Roy Burman
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, 21218
| | - Jeffrey J Gray
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland, 21218
- Program in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland, 21218
| | - Edrisse Chermak
- King Abdullah University of Science and Technology, Saudi Arabia
| | - Luigi Cavallo
- King Abdullah University of Science and Technology, Saudi Arabia
| | - Romina Oliva
- University of Naples "Parthenope", Napoli, Italy
| | - Andrey Tovchigrechko
- J. Craig Venter Institute, 9704 Medical Center Drive, Rockville, Maryland, 20850
| | - Shoshana J Wodak
- Departments of Biochemistry and Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
- VIB Structural Biology Research Center, VUB Pleinlaan 2, Brussels, 1050, Belgium.
| |
Collapse
|
13
|
Mishra NK, Habeck M, Kirchner C, Haviv H, Peleg Y, Eisenstein M, Apell HJ, Karlish SJD. Molecular Mechanisms and Kinetic Effects of FXYD1 and Phosphomimetic Mutants on Purified Human Na,K-ATPase. J Biol Chem 2015; 290:28746-59. [PMID: 26429909 DOI: 10.1074/jbc.m115.687913] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Indexed: 11/06/2022] Open
Abstract
Phospholemman (FXYD1) is a single-transmembrane protein regulator of Na,K-ATPase, expressed strongly in heart, skeletal muscle, and brain and phosphorylated by protein kinases A and C at Ser-68 and Ser-63, respectively. Binding of FXYD1 reduces Na,K-ATPase activity, and phosphorylation at Ser-68 or Ser-63 relieves the inhibition. Despite the accumulated information on physiological effects, whole cell studies provide only limited information on molecular mechanisms. As a complementary approach, we utilized purified human Na,K-ATPase (α1β1 and α2β1) reconstituted with FXYD1 or mutants S63E, S68E, and S63E,S68E that mimic phosphorylation at Ser-63 and Ser-68. Compared with control α1β1, FXYD1 reduces Vmax and turnover rate and raises K0.5Na. The phosphomimetic mutants reverse these effects and reduce K0.5Na below control K0.5Na. Effects on α2β1 are similar but smaller. Experiments in proteoliposomes reconstituted with α1β1 show analogous effects of FXYD1 on K0.5Na, which are abolished by phosphomimetic mutants and also by increasing mole fractions of DOPS in the proteoliposomes. Stopped-flow experiments using the dye RH421 show that FXYD1 slows the conformational transition E2(2K)ATP → E1(3Na)ATP but does not affect 3NaE1P → E2P3Na. This regulatory effect is explained simply by molecular modeling, which indicates that a cytoplasmic helix (residues 60-70) docks between the αN and αP domains in the E2 conformation, but docking is weaker in E1 (also for phosphomimetic mutants). Taken together with previous work showing that FXYD1 also raises binding affinity for the Na(+)-selective site III, these results provide a rather comprehensive picture of the regulatory mechanism of FXYD1 that complements the physiological studies.
Collapse
Affiliation(s)
| | | | - Corinna Kirchner
- the Department of Biology, University of Konstanz, 78464 Konstanz, Germany
| | - Haim Haviv
- From the Department of Biological Chemistry
| | - Yoav Peleg
- Israel Structural Proteomics Center, Weizmann Institute of Science, Rehovot 7610001, Israel and
| | | | - Hans Juergen Apell
- the Department of Biology, University of Konstanz, 78464 Konstanz, Germany
| | | |
Collapse
|
14
|
Unger-Angel L, Rout B, Ilani T, Eisenstein M, Motiei L, Margulies D. Protein recognition by bivalent, 'turn-on' fluorescent molecular probes. Chem Sci 2015; 6:5419-5425. [PMID: 28717444 PMCID: PMC5502391 DOI: 10.1039/c5sc01038a] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2015] [Accepted: 06/07/2015] [Indexed: 12/28/2022] Open
Abstract
The selective and sensitive identification of different proteins becomes possible by modifying the known intercalating dye, thiazole orange, with two protein binders. These ‘turn-on’ fluorescence probes enable the identification of acetylcholinesterase, glutathione-s-transferases and avidin with high affinity, specificity, and high signal-to-noise ratio.
We show that the conversion of a known intercalating dye (i.e., thiazole orange) into a bivalent protein binder could lead to the realization of a novel class of ‘turn-on’ fluorescent molecular probes that detect proteins with high affinity, selectivity, and a high signal-to-noise (S/N) ratio. The feasibility of the approach is demonstrated with monomolecular probes that light-up in the presence of three different proteins: acetylcholinesterase (AChE), glutathione-s-transferase (GST), or avidin (Av) at low concentrations and with minimal background signal. The way by which such probes can be used to detect individual protein isoforms and be applied in inhibitor screening, cell imaging, and biomarker detection is described.
Collapse
Affiliation(s)
- Linor Unger-Angel
- Department of Organic Chemistry , Weizmann Institute of Science , 76100 Rehovot , Israel .
| | - Bhimsen Rout
- Department of Organic Chemistry , Weizmann Institute of Science , 76100 Rehovot , Israel .
| | - Tal Ilani
- Department of Structural Biology , Weizmann Institute of Science , 76100 Rehovot , Israel
| | - Miriam Eisenstein
- Department of Chemical Research Support , Weizmann Institute of Science , 76100 Rehovot , Israel
| | - Leila Motiei
- Department of Organic Chemistry , Weizmann Institute of Science , 76100 Rehovot , Israel .
| | - David Margulies
- Department of Organic Chemistry , Weizmann Institute of Science , 76100 Rehovot , Israel .
| |
Collapse
|
15
|
Moldavski O, Amen T, Levin-Zaidman S, Eisenstein M, Rogachev I, Brandis A, Kaganovich D, Schuldiner M. Lipid Droplets Are Essential for Efficient Clearance of Cytosolic Inclusion Bodies. Dev Cell 2015; 33:603-10. [PMID: 26004510 DOI: 10.1016/j.devcel.2015.04.015] [Citation(s) in RCA: 81] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Revised: 02/17/2015] [Accepted: 04/21/2015] [Indexed: 11/24/2022]
Abstract
Exposing cells to folding stress causes a subset of their proteins to misfold and accumulate in inclusion bodies (IBs). IB formation and clearance are both active processes, but little is known about their mechanism. To shed light on this issue, we performed a screen with over 4,000 fluorescently tagged yeast proteins for co-localization with a model misfolded protein that marks IBs during folding stress. We identified 13 proteins that co-localize to IBs. Remarkably, one of these IB proteins, the uncharacterized and conserved protein Iml2, exhibited strong physical interactions with lipid droplet (LD) proteins. Indeed, we here show that IBs and LDs are spatially and functionally linked. We further demonstrate a mechanism for IB clearance via a sterol-based metabolite emanating from LDs. Our findings therefore uncover a function for Iml2 and LDs in regulating a critical stage of cellular proteostasis.
Collapse
Affiliation(s)
- Ofer Moldavski
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Triana Amen
- Department of Cell and Developmental Biology, Alexander Silberman Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem 91904, Israel
| | - Smadar Levin-Zaidman
- Electron Microscopy Unit, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Miriam Eisenstein
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Ilana Rogachev
- Department for Biological Services, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Alexander Brandis
- Department for Biological Services, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Daniel Kaganovich
- Department of Cell and Developmental Biology, Alexander Silberman Institute of Life Sciences, Hebrew University of Jerusalem, Jerusalem 91904, Israel.
| | - Maya Schuldiner
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot 7610001, Israel.
| |
Collapse
|
16
|
Armstrong DL, Eisenstein M, Zidovetzki R, Jacob CO. 207 Structural basis of the effect of systemic lupus erythematosus (SLE)-associated mutations on the activity of NADPH oxidase. J Biomol Struct Dyn 2015. [DOI: 10.1080/07391102.2015.1038136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
17
|
Kaushansky N, Eisenstein M, Boura-Halfon S, Hansen BE, Nielsen CH, Milo R, Zeilig G, Lassmann H, Altmann DM, Ben-Nun A. Role of a Novel Human Leukocyte Antigen-DQA1*01:02;DRB1*15:01 Mixed Isotype Heterodimer in the Pathogenesis of "Humanized" Multiple Sclerosis-like Disease. J Biol Chem 2015; 290:15260-78. [PMID: 25911099 DOI: 10.1074/jbc.m115.641209] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2015] [Indexed: 11/06/2022] Open
Abstract
Gene-wide association and candidate gene studies indicate that the greatest effect on multiple sclerosis (MS) risk is driven by the HLA-DRB1*15:01 allele within the HLA-DR15 haplotype (HLA-DRB1*15:01-DQA1*01:02-DQB1*0602-DRB5*01:01). Nevertheless, linkage disequilibrium makes it difficult to define, without functional studies, whether the functionally relevant effect derives from DRB1*15:01 only, from its neighboring DQA1*01:02-DQB1*06:02 or DRB5*01:01 genes of HLA-DR15 haplotype, or from their combinations or epistatic interactions. Here, we analyzed the impact of the different HLA-DR15 haplotype alleles on disease susceptibility in a new "humanized" model of MS induced in HLA-transgenic (Tg) mice by human oligodendrocyte-specific protein (OSP)/claudin-11 (hOSP), one of the bona fide potential primary target antigens in MS. We show that the hOSP-associated MS-like disease is dominated by the DRB1*15:01 allele not only as the DRA1*01:01;DRB1*15:01 isotypic heterodimer but also, unexpectedly, as a functional DQA1*01:02;DRB1*15:01 mixed isotype heterodimer. The contribution of HLA-DQA1/DRB1 mixed isotype heterodimer to OSP pathogenesis was revealed in (DRB1*1501xDQB1*0602)F1 double-Tg mice immunized with hOSP(142-161) peptide, where the encephalitogenic potential of prevalent DRB1*1501/hOSP(142-161)-reactive Th1/Th17 cells is hindered due to a single amino acid difference in the OSP(142-161) region between humans and mice; this impedes binding of DRB1*1501 to the mouse OSP(142-161) epitope in the mouse CNS while exposing functional binding of mouse OSP(142-161) to DQA1*01:02;DRB1*15:01 mixed isotype heterodimer. This study, which shows for the first time a functional HLA-DQA1/DRB1 mixed isotype heterodimer and its potential association with disease susceptibility, provides a rationale for a potential effect on MS risk from DQA1*01:02 through functional DQA1*01:02;DRB1*15:01 antigen presentation. Furthermore, it highlights a potential contribution to MS risk also from interisotypic combination between products of neighboring HLA-DR15 haplotype alleles, in this case the DQA1/DRB1 combination.
Collapse
Affiliation(s)
| | - Miriam Eisenstein
- Chemical Research Support, Weizmann Institute of Science, Rehovot 76100, Israel
| | | | - Bjarke Endel Hansen
- the Institute for Inflammation Research, Department of Infectious Diseases and Rheumatology, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
| | - Claus Henrik Nielsen
- the Institute for Inflammation Research, Department of Infectious Diseases and Rheumatology, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, DK-2100 Copenhagen, Denmark
| | - Ron Milo
- the Department of Neurology, Barzilai Medical Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Ashkelon 78278, Israel
| | - Gabriel Zeilig
- the Department of Neurological Rehabilitation, Chaim Sheba Medical Center, Tel Hashomer 52621, Israel, the Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv 6997801, Israel
| | - Hans Lassmann
- the Center for Brain Research, Department of Neuroimmunology, Medical University of Vienna, 1090 Vienna, Austria, and
| | - Daniel M Altmann
- the Department of Medicine, Imperial College, Hammersmith Hospital, London W12 0HS, United Kingdom
| | | |
Collapse
|
18
|
Armstrong DL, Eisenstein M, Zidovetzki R, Jacob CO. Systemic lupus erythematosus-associated neutrophil cytosolic factor 2 mutation affects the structure of NADPH oxidase complex. J Biol Chem 2015; 290:12595-602. [PMID: 25795782 DOI: 10.1074/jbc.m115.639021] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Indexed: 11/06/2022] Open
Abstract
In a case-control association study with 3716 North Americans of Hispanic descent and 4867 North Americans of European descent, we show that the associations of rs17849502 (NCF2 His-389 → Gln) and rs13306575 (NCF2 Arg-395 → Trp) with systemic lupus erythematosus are independent. We have shown that His-389 → Gln disrupts the binding of NCF2 to the ZF domain of VAV1, resulting in decreased NADPH oxidase activity. With respect to Arg-395 → Trp, using protein docking and structure analyses, we provide a model for the involvement of this mutation in the structure and function of the NADPH oxidase complex. This model assigns a central role to Arg-395 in the structure and stability of the quaternary NCF2/NCF4/VAV1/RAC1 NADPH oxidase complex. Arg-395 stabilizes the C-terminal tail of NCF4 and the conformation of NCF2 loop 395-402, which in turn stabilize the evolutionarily conserved interactions of NCF2/NCF4 with the DH domain of VAV1 and RAC1 region 120-137. Our findings are consistent with the high levels of conservation of all of the residues involved in these interactions.
Collapse
Affiliation(s)
- Don L Armstrong
- From the Lupus Genetic Group, Department of Medicine, University of Southern California, Los Angeles, California 90089
| | - Miriam Eisenstein
- the Department of Chemical Research Support, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Raphael Zidovetzki
- From the Lupus Genetic Group, Department of Medicine, University of Southern California, Los Angeles, California 90089, the Cell Biology and Neuroscience, University of California, Riverside, California 92521, and
| | - Chaim O Jacob
- From the Lupus Genetic Group, Department of Medicine, University of Southern California, Los Angeles, California 90089,
| |
Collapse
|
19
|
Lucca LE, Desbois S, Ramadan A, Ben-Nun A, Eisenstein M, Carrié N, Guéry JC, Sette A, Nguyen P, Geiger TL, Mars LT, Liblau RS. Bispecificity for myelin and neuronal self-antigens is a common feature of CD4 T cells in C57BL/6 mice. J Immunol 2014; 193:3267-77. [PMID: 25135834 DOI: 10.4049/jimmunol.1400523] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The recognition of multiple ligands by a single TCR is an intrinsic feature of T cell biology, with important consequences for physiological and pathological processes. Polyspecific T cells targeting distinct self-antigens have been identified in healthy individuals as well as in the context of autoimmunity. We have previously shown that the 2D2 TCR recognizes the myelin oligodendrocyte glycoprotein epitope (MOG)35-55 as well as an epitope within the axonal protein neurofilament medium (NF-M15-35) in H-2(b) mice. In this study, we assess whether this cross-reactivity is a common feature of the MOG35-55-specific T cell response. To this end, we analyzed the CD4 T cell response of MOG35-55-immunized C57BL/6 mice for cross-reactivity with NF-M15-35. Using Ag recall responses, we established that an important proportion of MOG35-55-specific CD4 T cells also responded to NF-M15-35 in all mice tested. To study the clonality of this response, we analyzed 22 MOG35-55-specific T cell hybridomas expressing distinct TCR. Seven hybridomas were found to cross-react with NF-M15-35. Using an alanine scan of NF-M18-30 and an in silico predictive model, we dissected the molecular basis of cross-reactivity between MOG35-55 and NF-M15-35. We established that NF-M F24, R26, and V27 proved important TCR contacts. Strikingly, the identified TCR contacts are conserved within MOG38-50. Our data indicate that due to linear sequence homology, part of the MOG35-55-specific T cell repertoire of all C57BL/6 mice also recognizes NF-M15-35, with potential implications for CNS autoimmunity.
Collapse
Affiliation(s)
- Liliana E Lucca
- INSERM, U1043, Toulouse F-31300, France; Centre National de la Recherche Scientifique, U5282, Toulouse F-31300, France; Centre de Physiopathologie Toulouse-Purpan, Université Toulouse 3, Toulouse F-31300, France
| | - Sabine Desbois
- INSERM, U1043, Toulouse F-31300, France; Centre National de la Recherche Scientifique, U5282, Toulouse F-31300, France; Centre de Physiopathologie Toulouse-Purpan, Université Toulouse 3, Toulouse F-31300, France
| | - Abdulraouf Ramadan
- INSERM, U1043, Toulouse F-31300, France; Centre National de la Recherche Scientifique, U5282, Toulouse F-31300, France; Centre de Physiopathologie Toulouse-Purpan, Université Toulouse 3, Toulouse F-31300, France
| | - Avraham Ben-Nun
- Department of Immunology, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Chemical Support, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Miriam Eisenstein
- Department of Immunology, Weizmann Institute of Science, Rehovot 7610001, Israel; Department of Chemical Support, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Nadège Carrié
- INSERM, U1043, Toulouse F-31300, France; Centre National de la Recherche Scientifique, U5282, Toulouse F-31300, France; Centre de Physiopathologie Toulouse-Purpan, Université Toulouse 3, Toulouse F-31300, France
| | - Jean-Charles Guéry
- INSERM, U1043, Toulouse F-31300, France; Centre National de la Recherche Scientifique, U5282, Toulouse F-31300, France; Centre de Physiopathologie Toulouse-Purpan, Université Toulouse 3, Toulouse F-31300, France
| | - Alessandro Sette
- La Jolla Institute for Allergy and Immunology, San Diego, CA 92109
| | - Phuong Nguyen
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN 38105; and
| | - Terrence L Geiger
- Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN 38105; and
| | - Lennart T Mars
- INSERM, U1043, Toulouse F-31300, France; Centre National de la Recherche Scientifique, U5282, Toulouse F-31300, France; Centre de Physiopathologie Toulouse-Purpan, Université Toulouse 3, Toulouse F-31300, France
| | - Roland S Liblau
- INSERM, U1043, Toulouse F-31300, France; Centre National de la Recherche Scientifique, U5282, Toulouse F-31300, France; Centre de Physiopathologie Toulouse-Purpan, Université Toulouse 3, Toulouse F-31300, France; Département d'Immunologie, Centre Hospitalier Universitaire Toulouse, Hôpital Purpan, Toulouse F-31300, France
| |
Collapse
|
20
|
Smith DP, Chen H, Ogo S, Elduque AI, Eisenstein M, Olmstead MM, Fish RH. Bioorganometallic Chemistry. 27. Synthetic, X-ray Crystallographic, and Competitive Binding Studies in the Reactions of Nucleobases, Nucleosides, and Nucleotides with [Cp*Rh(H2O)3](OTf)2, as a Function of pH, and the Utilization of Several Cp*Rh–DNA Base Complexes in Host–Guest Chemistry. Organometallics 2014. [DOI: 10.1021/om500106r] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- David P. Smith
- Lawrence Berkeley National Laboratory, University of California, Berkeley, California 94720, United States
| | - Hong Chen
- Lawrence Berkeley National Laboratory, University of California, Berkeley, California 94720, United States
| | - Seiji Ogo
- Lawrence Berkeley National Laboratory, University of California, Berkeley, California 94720, United States
- Department of Chemistry and Biochemistry, Graduate
School of Engineering, Kyushu University, 744 Moto-oka, Nishi-ku, Fukuoka, 819-0395, Japan
| | - Ana I. Elduque
- Department of Inorganic Chemistry, Faculty
of Science-ICMA, University of Zaragoza-CSIC, 5009 Zaragoza, Spain
| | - Miriam Eisenstein
- Department of Chemical
Research Support, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Marilyn M. Olmstead
- Department of Chemistry, University of California, Davis, California 95616, United States
| | - Richard H. Fish
- Lawrence Berkeley National Laboratory, University of California, Berkeley, California 94720, United States
| |
Collapse
|
21
|
Lensink MF, Moal IH, Bates PA, Kastritis PL, Melquiond ASJ, Karaca E, Schmitz C, van Dijk M, Bonvin AMJJ, Eisenstein M, Jiménez-García B, Grosdidier S, Solernou A, Pérez-Cano L, Pallara C, Fernández-Recio J, Xu J, Muthu P, Praneeth Kilambi K, Gray JJ, Grudinin S, Derevyanko G, Mitchell JC, Wieting J, Kanamori E, Tsuchiya Y, Murakami Y, Sarmiento J, Standley DM, Shirota M, Kinoshita K, Nakamura H, Chavent M, Ritchie DW, Park H, Ko J, Lee H, Seok C, Shen Y, Kozakov D, Vajda S, Kundrotas PJ, Vakser IA, Pierce BG, Hwang H, Vreven T, Weng Z, Buch I, Farkash E, Wolfson HJ, Zacharias M, Qin S, Zhou HX, Huang SY, Zou X, Wojdyla JA, Kleanthous C, Wodak SJ. Blind prediction of interfacial water positions in CAPRI. Proteins 2014; 82:620-32. [PMID: 24155158 PMCID: PMC4582081 DOI: 10.1002/prot.24439] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2013] [Revised: 09/16/2013] [Accepted: 09/26/2013] [Indexed: 12/30/2022]
Abstract
We report the first assessment of blind predictions of water positions at protein-protein interfaces, performed as part of the critical assessment of predicted interactions (CAPRI) community-wide experiment. Groups submitting docking predictions for the complex of the DNase domain of colicin E2 and Im2 immunity protein (CAPRI Target 47), were invited to predict the positions of interfacial water molecules using the method of their choice. The predictions-20 groups submitted a total of 195 models-were assessed by measuring the recall fraction of water-mediated protein contacts. Of the 176 high- or medium-quality docking models-a very good docking performance per se-only 44% had a recall fraction above 0.3, and a mere 6% above 0.5. The actual water positions were in general predicted to an accuracy level no better than 1.5 Å, and even in good models about half of the contacts represented false positives. This notwithstanding, three hotspot interface water positions were quite well predicted, and so was one of the water positions that is believed to stabilize the loop that confers specificity in these complexes. Overall the best interface water predictions was achieved by groups that also produced high-quality docking models, indicating that accurate modelling of the protein portion is a determinant factor. The use of established molecular mechanics force fields, coupled to sampling and optimization procedures also seemed to confer an advantage. Insights gained from this analysis should help improve the prediction of protein-water interactions and their role in stabilizing protein complexes.
Collapse
Affiliation(s)
- Marc F Lensink
- Interdisciplinary Research Institute USR3078 CNRS, University Lille North of France, Villeneuve d'Ascq, France
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
22
|
Levi I, Eskira Y, Eisenstein M, Gilon C, Hoffman A, Tal-Gan Y, Fanous J, Bersudsky Y, Belmaker RH, Agam G, Almog O, Almog O. Inhibition of inositol monophosphatase (IMPase) at the calbindin-D28k binding site: molecular and behavioral aspects. Eur Neuropsychopharmacol 2013; 23:1806-15. [PMID: 23619164 DOI: 10.1016/j.euroneuro.2013.02.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2012] [Revised: 01/01/2013] [Accepted: 02/08/2013] [Indexed: 01/13/2023]
Abstract
Bipolar-disorder (manic-depressive illness) is a severe chronic illness affecting ∼1% of the adult population. It is treated with mood-stabilizers, the prototypic one being lithium-salts (lithium), but it has life threatening side-effects and a significant number of patients fail to respond. The lithium-inhibitable enzyme inositol-monophosphatase (IMPase) is one of the viable targets for lithium's mechanism of action. Calbindin-D28k (calbindin) up-regulates IMPase activity. The IMPase-calbindincomplex was modeled using the program MolFit. The in-silico model indicated that the 55-66 amino-acid segment of IMPase anchors calbindin via Lys59 and Lys61 with a glutamate in between (Lys-Glu-Lys motif) and that the motif interacts with residues Asp24 and Asp26 of calbindin. We found that differently from wildtype calbindin, IMPase was not activated by mutated calbindin in which Asp24 and Asp26 were replaced by alanine. Calbindin's effect was significantly reduced by a linear peptide with the sequence of amino acids 58-63 of IMPase (peptide 1) and by six amino-acid linear peptides including at least part of the Lys-Glu-Lys motif. The three amino-acid peptide Lys-Glu-Lys or five amino-acid linear peptides containing this motif were ineffective. Mice administered peptide 1 intracerebroventricularly exhibited a significant anti-depressant-like reduced immobility in the forced-swim test. Based on the sequence of peptide 1, and to potentially increase the peptide's stability, cyclic and linear pre-cyclic analog peptides were synthesized. One cyclic peptide and one linear pre-cyclic analog peptide inhibited calbindin-activated brain IMPase activity in-vitro. Our findings may lead to the development of molecules capable of inhibiting IMPase activity at an alternative site than that of lithium.
Collapse
Affiliation(s)
- Itzhak Levi
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel; Psychiatry Research Unit, Mental Health Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
23
|
Matalon E, Faingold O, Eisenstein M, Shai Y, Goldfarb D. The topology, in model membranes, of the core peptide derived from the T-cell receptor transmembrane domain. Chembiochem 2013; 14:1867-75. [PMID: 23881822 DOI: 10.1002/cbic.201300191] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Indexed: 01/16/2023]
Abstract
The T-cell receptor-CD3 complex (TCR-CD3) serves a critical role in protecting organisms from infectious agents. The TCR is a heterodimer composed of α- and β-chains, which are responsible for antigen recognition. Within the transmembrane domain of the α-subunit, a region has been identified to be crucial for the assembly and function of the TCR. This region, termed core peptide (CP), consists of nine amino acids (GLRILLLKV), two of which are charged (lysine and arginine) and are crucial for the interaction with CD3. Earlier studies have shown that a synthetic peptide corresponding to the CP sequence can suppress the immune response in animal models of T-cell-mediated inflammation, by disrupting proper assembly of the TCR. As a step towards the understanding of the source of the CP activity, we focused on CP in egg phosphatidylcholine/cholesterol (9:1, mol/mol) model membranes and determined its secondary structure, oligomerization state, and orientation with respect to the membrane. To achieve this goal, 15-residue segments of TCRα, containing the CP, were synthesized and spin-labeled at different locations with a nitroxide derivative. Electron spin-echo envelope modulation spectroscopy was used to probe the position and orientation of the peptides within the membrane, and double electron-electron resonance measurements were used to probe its conformation and oligomerization state. We found that the peptide is predominantly helical in a membrane environment and tends to form oligomers (mostly dimers) that are parallel to the membrane plane.
Collapse
Affiliation(s)
- Erez Matalon
- Department of Chemical Physics, Weizmann Institute of Science, 234 Hertzl St, Rehovot, 7632700 (Israel)
| | | | | | | | | |
Collapse
|
24
|
Avrahami L, Licht-Murava A, Eisenstein M, Eldar-Finkelman H. GSK-3 inhibition: Achieving moderate efficacy with high selectivity. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 2013; 1834:1410-4. [DOI: 10.1016/j.bbapap.2013.01.016] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2012] [Accepted: 01/15/2013] [Indexed: 02/06/2023]
|
25
|
Bharat T, Zbaida D, Eisenstein M, Frankenstein Z, Mehlman T, Weiner L, Sorzano C, Barak Y, Albeck S, Briggs J, Wolf S, Elbaum M. Variable Internal Flexibility Characterizes the Helical Capsid Formed by Agrobacterium VirE2 Protein on Single-Stranded DNA. Structure 2013; 21:1158-67. [DOI: 10.1016/j.str.2013.04.027] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2012] [Revised: 03/28/2013] [Accepted: 04/18/2013] [Indexed: 10/26/2022]
|
26
|
Piperno S, Mirzadeh E, Mishuk E, Ehre D, Cohen S, Eisenstein M, Lahav M, Lubomirsky I. Water-Induced Pyroelectricity from Nonpolar Crystals of Amino Acids. Angew Chem Int Ed Engl 2013. [DOI: 10.1002/ange.201301836] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
|
27
|
Piperno S, Mirzadeh E, Mishuk E, Ehre D, Cohen S, Eisenstein M, Lahav M, Lubomirsky I. Water-induced pyroelectricity from nonpolar crystals of amino acids. Angew Chem Int Ed Engl 2013; 52:6513-6. [PMID: 23649921 DOI: 10.1002/anie.201301836] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2013] [Indexed: 11/12/2022]
Affiliation(s)
- Silvia Piperno
- Department of Materials and Interfaces, Weizmann Institute of Science, Rehovot, 76100, Israel
| | | | | | | | | | | | | | | |
Collapse
|
28
|
Matalon E, Kaminker I, Zimmermann H, Eisenstein M, Shai Y, Goldfarb D. Topology of the trans-membrane peptide WALP23 in model membranes under negative mismatch conditions. J Phys Chem B 2013; 117:2280-93. [PMID: 23311473 DOI: 10.1021/jp310056h] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The organization and orientation of membrane-inserted helices is important for better understanding the mode of action of membrane-active peptides and of protein-membrane interactions. Here we report on the application of ESEEM (electron spin-echo envelope modulation) and DEER (double electron-electron resonance) techniques to probe the orientation and oligomeric state of an α-helical trans-membrane model peptide, WALP23, under conditions of negative mismatch between the hydrophobic cores of the model membrane and the peptide. Using ESEEM, we measured weak dipolar interactions between spin-labeled WALP23 and (2)H nuclei of either the solvent (D2O) or of lipids specifically deuterated at the choline group. The ESEEM data obtained from the deuterated lipids were fitted using a model that provided the spin label average distance from a layer of (2)H nuclei in the hydrophilic region of the membrane and the density of the (2)H nuclei in the layer. DEER was used to probe oligomerization through the dipolar interaction between two spin-labels on different peptides. We observed that the center of WALP23 does not coincide with the bilayer midplane and its N-terminus is more buried than the C-terminus. In addition, the ESEEM data fitting yielded a (2)H layer density that was much lower than expected. The DEER experiments revealed the presence of oligomers, the presence of which was attributable to the negative mismatch and the electrostatic dipole of the peptide. A discussion of a possible arrangement of the individual helices in the oligomers that is consistent with the ESEEM and DEER data is presented.
Collapse
Affiliation(s)
- Erez Matalon
- Department of Chemical Physics, Weizmann Institute of Science, Rehovot, Israel 76100
| | | | | | | | | | | |
Collapse
|
29
|
Frankenstein Z, Sperling J, Sperling R, Eisenstein M. 39 In-silico study of the arrangement of the snRNPs within the native spliceosome. J Biomol Struct Dyn 2013. [DOI: 10.1080/07391102.2013.786472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
30
|
Blank M, Krause I, Dotan N, Anafi L, Eisenstein M, Cervera R, Meroni PL, Shoenfeld Y. Anti-GalNAcβ: A novel anti-glycan autoantibody associated with pregnancy loss in women with antiphospholipid syndrome and in a mouse experimental model. J Autoimmun 2012; 39:420-7. [DOI: 10.1016/j.jaut.2012.07.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2012] [Accepted: 07/08/2012] [Indexed: 12/21/2022]
|
31
|
Frankenstein Z, Sperling J, Sperling R, Eisenstein M. A unique spatial arrangement of the snRNPs within the native spliceosome emerges from in silico studies. Structure 2012; 20:1097-106. [PMID: 22578543 DOI: 10.1016/j.str.2012.03.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2011] [Revised: 02/25/2012] [Accepted: 03/26/2012] [Indexed: 02/05/2023]
Abstract
The spliceosome is a mega-Dalton ribonucleoprotein (RNP) assembly that processes primary RNA transcripts, producing functional mRNA. The electron microscopy structures of the native spliceosome and of several spliceosomal subcomplexes are available; however, the spatial arrangement of the latter within the native spliceosome is not known. We designed a computational procedure to efficiently fit thousands of conformers into the spliceosome envelope. Despite the low resolution limitations, we obtained only one model that complies with the available biochemical data. Our model localizes the five small nuclear RNPs (snRNPs) mostly within the large subunit of the native spliceosome, requiring only minor conformation changes. The remaining free volume presumably accommodates additional spliceosomal components. The constituents of the active core of the spliceosome are juxtaposed, forming a continuous surface deep within the large spliceosomal cavity, which provides a sheltered environment for the splicing reaction.
Collapse
Affiliation(s)
- Ziv Frankenstein
- Department of Structural Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | | | | | | |
Collapse
|
32
|
Alberstein M, Eisenstein M, Abeliovich H. Removing allosteric feedback inhibition of tomato 4-coumarate:CoA ligase by directed evolution. The Plant Journal 2012; 69:57-69. [PMID: 21883557 DOI: 10.1111/j.1365-313x.2011.04770.x] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2023]
|
33
|
Sela-Passwell N, Kikkeri R, Dym O, Rozenberg H, Margalit R, Arad-Yellin R, Eisenstein M, Brenner O, Shoham T, Danon T, Shanzer A, Sagi I. Antibodies targeting the catalytic zinc complex of activated matrix metalloproteinases show therapeutic potential. Nat Med 2011; 18:143-7. [PMID: 22198278 DOI: 10.1038/nm.2582] [Citation(s) in RCA: 109] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2011] [Accepted: 10/25/2011] [Indexed: 12/12/2022]
Abstract
Endogenous tissue inhibitors of metalloproteinases (TIMPs) have key roles in regulating physiological and pathological cellular processes. Imitating the inhibitory molecular mechanisms of TIMPs while increasing selectivity has been a challenging but desired approach for antibody-based therapy. TIMPs use hybrid protein-protein interactions to form an energetic bond with the catalytic metal ion, as well as with enzyme surface residues. We used an innovative immunization strategy that exploits aspects of molecular mimicry to produce inhibitory antibodies that show TIMP-like binding mechanisms toward the activated forms of gelatinases (matrix metalloproteinases 2 and 9). Specifically, we immunized mice with a synthetic molecule that mimics the conserved structure of the metalloenzyme catalytic zinc-histidine complex residing within the enzyme active site. This immunization procedure yielded selective function-blocking monoclonal antibodies directed against the catalytic zinc-protein complex and enzyme surface conformational epitopes of endogenous gelatinases. The therapeutic potential of these antibodies has been demonstrated with relevant mouse models of inflammatory bowel disease. Here we propose a general experimental strategy for generating inhibitory antibodies that effectively target the in vivo activity of dysregulated metalloproteinases by mimicking the mechanism employed by TIMPs.
Collapse
Affiliation(s)
- Netta Sela-Passwell
- Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
34
|
Blank M, Baraam L, Eisenstein M, Fridkin M, Dardik R, Heldman Y, Katchalski-Katzir E, Shoenfeld Y. β2-Glycoprotein-I based peptide regulate endothelial-cells tissue-factor expression via negative regulation of pGSK3β expression and reduces experimental-antiphospholipid-syndrome. J Autoimmun 2011; 37:8-17. [PMID: 21524885 DOI: 10.1016/j.jaut.2011.02.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2011] [Revised: 02/16/2011] [Accepted: 02/17/2011] [Indexed: 11/26/2022]
Abstract
Antiphospholipid syndrome (APS) is characterized by thromboembolic phenomena and recurrent fetal loss associated with elevated circulating anti-phospholipid/beta2glycoprotein-I(β2GPI)-binding-antibodies(Abs). Individual APS patients harbor diverse clusters of circulating anti-β2GPI Abs, targeting different epitopes on the β2GPI molecule. Our novel approach was to construct a peptide composed of β2GPI-ECs-binding-site (phospholipids-membrane), named "EMBI". EMBI exert dual activities: a) At first EMBI prevented β2GPI ECs binding, thus reduced by 89% the binding of β2GPI/anti-β2GPI to the cells in comparison with 9.3% inhibition by EMBI scrambled form (scEMBI). b) Longer exposure of ECs to EMBI resulted in intracellular EMBI penetration which did not prevent β2GPI/anti-β2GPI binding to HUVEC. Surprisingly, β2GPI/anti-β2GPI did not activate ECs harboring EMBI, illustrated by prevention of E-selectin and tissue factor (TF) expression. The inhibition of TF mRNA transcription was illustrated by quantitative RT-PCR. EMBI decreased the expression of phosphorylated JNK1/2, p38, HSP27 and enhanced phosphorylation of glycogen synthase kinase-3β (pGSK3β). Knocking down the GSK3β expression by siRNA-GSK3β, reduced the TF expression by β2GPI/anti-β2GPI-exposed-HUVEC. In-vivo, EMBI significantly decreased the percentage of fetal loss in naïve mice infused with anti-β2GPI Abs, p<0.04. Thus, the dual activity of EMBI may introduce EMBI as a potential novel candidate peptide, to treat patients with APS.
Collapse
Affiliation(s)
- Miri Blank
- Zabludowicz Center for Autoimmune Diseases, Sackler Faculty of Medicine, Tel-Aviv University, Israel
| | | | | | | | | | | | | | | |
Collapse
|
35
|
Licht-Murava A, Plotkin B, Eisenstein M, Eldar-Finkelman H. Elucidating Substrate and Inhibitor Binding Sites on the Surface of GSK-3β and the Refinement of a Competitive Inhibitor. J Mol Biol 2011; 408:366-78. [DOI: 10.1016/j.jmb.2011.02.036] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2010] [Revised: 02/07/2011] [Accepted: 02/16/2011] [Indexed: 12/25/2022]
|
36
|
Abstract
The critical assessment of protein interactions (CAPRI) experiment provides a unique opportunity for unbiased assessment of docking procedures. The recent CAPRI targets T29-T42 entailed docking of bound, unbound, and modeled structures, presenting a wide range of prediction difficulty. We submitted accurate predictions for targets T40, T41, and T42, a good prediction for T32 and acceptable predictions for T29 and T34. The accuracy of our docking results generally matched the prediction difficulty; hence, docking of modeled proteins produced less accurate results. However, there were interesting exceptions: an accurate prediction was submitted for the dimer of modeled tetratricopeptide repeat (T42) and only an acceptable prediction for the bound/unbound case T29. The ensembles of docking models produced in the scans included an acceptable or better prediction for every target. We show here that our recently developed postscan reevaluation procedure, which tests propensity and solvation measures of the whole interface and the interface core, successfully distinguished these predictions from false docking models. For enzyme-inhibitor targets, we show that the distance of the interface from the enzyme's centroid ranked high native like docking models. Also, for one case we demonstrate that docking of an ensemble of conformers produced by normal modes analysis can improve the accuracy of the prediction.
Collapse
Affiliation(s)
- Miriam Eisenstein
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot 76100, Israel.
| | | | | | | |
Collapse
|
37
|
Affiliation(s)
- Izhak Michaelevski
- Departments of Biological Chemistry and Chemical Research Support, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Miriam Eisenstein
- Departments of Biological Chemistry and Chemical Research Support, Weizmann Institute of Science, Rehovot 76100, Israel
| | - Michal Sharon
- Departments of Biological Chemistry and Chemical Research Support, Weizmann Institute of Science, Rehovot 76100, Israel
| |
Collapse
|
38
|
Ben-Shimon A, Eisenstein M. Computational mapping of anchoring spots on protein surfaces. J Mol Biol 2010; 402:259-77. [PMID: 20643147 DOI: 10.1016/j.jmb.2010.07.021] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2010] [Revised: 07/04/2010] [Accepted: 07/09/2010] [Indexed: 10/19/2022]
Abstract
Protein-protein and protein-peptide interactions are often controlled by few strong contacts that involve hot spot residues. Computational detection of such contacts, termed here anchoring spots, is important for understanding recognition processes and for predicting interactions; it is an essential step in designing interaction interfaces and therapeutic agents. We describe ANCHORSMAP, an algorithm for computational mapping of amino acid side chains on protein surfaces. The algorithm consists of two stages: A geometry based stage (LSMdet), in which sub-pockets adequate for binding single side chains are detected and amino acid probes are scattered near them, and an energy based stage in which optimal positions of the probes are determined through repeated energy minimization and clustering of nearby poses and their DeltaG are calculated. ANCHORSMAP employs a new function for DeltaG calculations, which is specifically designed for the context of protein-protein recognition by introducing a correction in the electrostatic energy term that compensates for the dielectric shielding exerted by a hypothetical protein bound to the probe. The algorithm successfully detects known anchoring sites and accurately positions the probes. The calculated DeltaG rank high the correct anchoring spots in maps produced for unbound proteins. We find that Arg, Trp, Glu and Tyr, which are favorite hot spot residues, are also more selective of their binding environment. The usefulness of anchoring spots mapping is demonstrated by detecting the binding surfaces in the protein-protein complex barnase/barstar and the protein-peptide complex kinase/PKI, and by identifying phenylalanine anchoring sites on the surface of the nuclear transporter NTF2, C-terminus anchors on PDZ domains and phenol anchors on thermolysin. Finally, we discuss the role of anchoring spots in molecular recognition processes.
Collapse
Affiliation(s)
- Avraham Ben-Shimon
- Department of Structural Biology, Weizmann Institute of Science, Rehovot 76100, Israel
| | | |
Collapse
|
39
|
Abstract
Phosphorylation by protein kinases is a central theme in biological systems. Aberrant protein kinase activity has been implicated in a variety of human diseases, therefore, modulation of kinase activity represents an attractive therapeutic approach for the treatment of human illnesses. Development and design of specific inhibitors for protein kinases thus became a major strategy in many drug discovery programs. Inhibition of protein kinase activity may be achieved by blocking the phosphorylation activity or by disrupting protein-protein interactions. Peptides that can mimic most truly these regulatory modes are favorite choice for protein kinase-targeting. Here we focus on important motifs regulating the protein kinase signaling network and described how they may be exploited for peptide drug design. Protein kinases are important regulators of most, if not all, biological processes. Their abnormal activity has been implicated as causal factors in many human diseases, including cancer, diabetes and neurodegenerative disorders [1-3]. Protein kinases are thus attractive targets for drug design and compounds that manipulate their cellular activity are of enormous therapeutic potential. With a target in hand, medicinal chemists can generate low molecular weight compounds that bind the target with high affinity and alter its biological behavior. In many cases, however, drugs fail as they lack appropriate pharmaceutical properties and are of limited specificity resulting in unfavorable side effects. Under these circumstances, the use of peptides, which copy 'natural' motifs that specifically influence kinase activity and/or its intracellular interactions with cognate partners, may be a promising approach for selective inhibition of protein kinases. In this review we focus on the strategies to design such peptide inhibitors, focusing mainly on the serine/threonine protein kinase family.
Collapse
Affiliation(s)
- Hagit Eldar-Finkelman
- Department of Human Molecular Genetics and Biochemistry, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.
| | | |
Collapse
|
40
|
Kowalsman N, Eisenstein M. Combining interface core and whole interface descriptors in postscan processing of protein-protein docking models. Proteins 2009; 77:297-318. [DOI: 10.1002/prot.22436] [Citation(s) in RCA: 14] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
|
41
|
Kaushansky N, Eisenstein M, Zilkha-Falb R, Ben-Nun A. The myelin-associated oligodendrocytic basic protein (MOBP) as a relevant primary target autoantigen in multiple sclerosis. Autoimmun Rev 2009; 9:233-6. [PMID: 19683076 DOI: 10.1016/j.autrev.2009.08.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2009] [Accepted: 08/02/2009] [Indexed: 10/20/2022]
Abstract
Multiple sclerosis (MS) is a disease of the human CNS, characterized by perivascular inflammation, demyelination and axonal damage. Although the etiology of MS is unknown, it is believed that the disease results from destructive autoimmune mechanisms, presumably initiated by abnormal activation of potentially pathogenic autoimmune T-cells recognizing CNS components. The myelin-associated oligodendrocyte basic protein (MOBP), a relatively abundant CNS-specific myelin protein, which plays a role in stabilizing the myelin sheath in the CNS, has recently been implicated in the pathogenesis of MS. Here we review studies showing that MOBP is as an important candidate target antigen in MS as the other widely studied target antigens, myelin basic protein (MBP), proteolipid protein (PLP), and myelin oligodendrocyte glycoprotein (MOG). The studies summarized below indicate that T-cell autoimmunity against MOBP can be detected in MS patients; T-cells reactive against MOBP can be pathogenic in several mouse strains as well as in the "humanized" HLA-DR15-Tg mice; and, that the HLA-DQ6-restricted, but not HLA-DR15-restricted, MOBP-reactive T-cells cause in HLA-DR15-Tg mice MS-like clinical disease associated with perivascular and parenchymal infiltration, demyelination, axonal loss, and optic neuritis. Accordingly, the MOBP should be considered a bona fide primary target antigen in MS, in addition to MBP, PLP, and MOG.
Collapse
Affiliation(s)
- Nathali Kaushansky
- Department of Immunology, The Weizmann Institute of Science, P.O. Box 26, Rehovot 76000, Israel
| | | | | | | |
Collapse
|
42
|
Zalckvar E, Berissi H, Eisenstein M, Kimchi A. Phosphorylation of Beclin 1 by DAP-kinase promotes autophagy by weakening its interactions with Bcl-2 and Bcl-XL. Autophagy 2009; 5:720-2. [PMID: 19395874 DOI: 10.4161/auto.5.5.8625] [Citation(s) in RCA: 192] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Beclin 1, an essential autophagic protein, is a BH3-only protein that binds Bcl-2 anti-apoptotic family members. The dissociation of Beclin 1 from the Bcl-2 inhibitors is essential for its autophagic activity, and therefore is tightly controlled. We recently revealed a novel phosphorylation-based mechanism by which death-associated protein kinase (DAPk) regulates this process. We found that DAPk phosphorylates Beclin 1 on T119, a critical residue within its BH3 domain, and thus promotes Beclin 1 dissociation from Bcl-X(L) and autophagy induction. Here we report that T119 phosphorylation also reduces the interaction between Beclin 1 and Bcl-2, in line with the high degree of structural homology between the BH3 binding pockets of Bcl-2 and Bcl-X(L) proteins. Our results reveal a new phosphorylation-based mechanism that reduces the interaction of Beclin 1 with its inhibitors to activate the autophagic machinery.
Collapse
Affiliation(s)
- Einat Zalckvar
- Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel
| | | | | | | |
Collapse
|
43
|
Di Agostino S, Cortese G, Monti O, Dell'Orso S, Sacchi A, Eisenstein M, Citro G, Strano S, Blandino G. The disruption of the protein complex mutantp53/p73 increases selectively the response of tumor cells to anticancer drugs. Cell Cycle 2008; 7:3440-7. [PMID: 18948736 DOI: 10.4161/cc.7.21.6995] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Many in vitro and in vivo evidence have shown that the status of p53 is a key determinant in the response of tumor cells to anticancer treatment. Here we provide evidence that peptide-mediated targeting of the protein complex mutantp53/p73 enhances the response of mutant p53 tumor cells to commonly used anticancer drugs. Indeed, we show that the disruption of the protein complex mutantp53/p73 and the consequent restoration of p73 transcriptional effects, through the activity of short interfering peptides, render mutant p53 cells more prone to the killing of adriamycin and cisplatin. Of note, the activity of the short interfering peptides is mutant p53 specific and causes no effects on wt-p53 and p53 null cells. Our findings highlight the protein complex mutantp53/p73 as a molecular target, whose successful overriding through the selective activity of small interfering peptides, might contribute to the optimization of mutant p53 tumor treatments.
Collapse
Affiliation(s)
- Silvia Di Agostino
- Pharmacocinetic and Animal Models Unit, Regina Elena Cancer Institute, Rome, Italy
| | | | | | | | | | | | | | | | | |
Collapse
|
44
|
Shmelzer Z, Karter M, Eisenstein M, Leto TL, Hadad N, Ben-Menahem D, Gitler D, Banani S, Wolach B, Rotem M, Levy R. Cytosolic Phospholipase A2α Is Targeted to the p47 -PX Domain of the Assembled NADPH Oxidase via a Novel Binding Site in Its C2 Domain. J Biol Chem 2008; 283:31898-908. [DOI: 10.1074/jbc.m804674200] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
|
45
|
Ilouz R, Pietrokovski S, Eisenstein M, Eldar-Finkelman H. New Insights into the Autoinhibition Mechanism of Glycogen Synthase Kinase-3β. J Mol Biol 2008; 383:999-1007. [DOI: 10.1016/j.jmb.2008.08.079] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2008] [Revised: 08/17/2008] [Accepted: 08/24/2008] [Indexed: 01/09/2023]
|
46
|
Frankenstein Z, Sperling J, Sperling R, Eisenstein M. FitEM2EM--tools for low resolution study of macromolecular assembly and dynamics. PLoS One 2008; 3:e3594. [PMID: 18974836 PMCID: PMC2572833 DOI: 10.1371/journal.pone.0003594] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2008] [Accepted: 10/09/2008] [Indexed: 11/19/2022] Open
Abstract
Studies of the structure and dynamics of macromolecular assemblies often involve comparison of low resolution models obtained using different techniques such as electron microscopy or atomic force microscopy. We present new computational tools for comparing (matching) and docking of low resolution structures, based on shape complementarity. The matched or docked objects are represented by three dimensional grids where the value of each grid point depends on its position with regard to the interior, surface or exterior of the object. The grids are correlated using fast Fourier transformations producing either matches of related objects or docking models depending on the details of the grid representations. The procedures incorporate thickening and smoothing of the surfaces of the objects which effectively compensates for differences in the resolution of the matched/docked objects, circumventing the need for resolution modification. The presented matching tool FitEM2EMin successfully fitted electron microscopy structures obtained at different resolutions, different conformers of the same structure and partial structures, ranking correct matches at the top in every case. The differences between the grid representations of the matched objects can be used to study conformation differences or to characterize the size and shape of substructures. The presented low-to-low docking tool FitEM2EMout ranked the expected models at the top.
Collapse
Affiliation(s)
- Ziv Frankenstein
- Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel
| | - Joseph Sperling
- Department of Organic Chemistry, Weizmann Institute of Science, Rehovot, Israel
| | - Ruth Sperling
- Department of Genetics, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Miriam Eisenstein
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot, Israel
- * E-mail:
| |
Collapse
|
47
|
Kaushansky N, Eisenstein M, Oved JH, Ben-Nun A. Activation and control of pathogenic T cells in OSP/claudin-11-induced EAE in SJL/J mice are dominated by their focused recognition of a single epitopic residue (OSP58M). Int Immunol 2008; 20:1439-49. [DOI: 10.1093/intimm/dxn099] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
|
48
|
Eisenstein M, Ben-Shimon A. Anchoring spots mapping on protein surfaces: application in docking and peptide inhibitor design. Acta Crystallogr A 2008. [DOI: 10.1107/s010876730808570x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
|
49
|
Sullivan JC, Sher D, Eisenstein M, Shigesada K, Reitzel AM, Marlow H, Levanon D, Groner Y, Finnerty JR, Gat U. The evolutionary origin of the Runx/CBFbeta transcription factors--studies of the most basal metazoans. BMC Evol Biol 2008; 8:228. [PMID: 18681949 PMCID: PMC2527000 DOI: 10.1186/1471-2148-8-228] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2008] [Accepted: 08/05/2008] [Indexed: 11/17/2022] Open
Abstract
Background Members of the Runx family of transcriptional regulators, which bind DNA as heterodimers with CBFβ, are known to play critical roles in embryonic development in many triploblastic animals such as mammals and insects. They are known to regulate basic developmental processes such as cell fate determination and cellular potency in multiple stem-cell types, including the sensory nerve cell progenitors of ganglia in mammals. Results In this study, we detect and characterize the hitherto unexplored Runx/CBFβ genes of cnidarians and sponges, two basal animal lineages that are well known for their extensive regenerative capacity. Comparative structural modeling indicates that the Runx-CBFβ-DNA complex from most cnidarians and sponges is highly similar to that found in humans, with changes in the residues involved in Runx-CBFβ dimerization in either of the proteins mirrored by compensatory changes in the binding partner. In situ hybridization studies reveal that Nematostella Runx and CBFβ are expressed predominantly in small isolated foci at the base of the ectoderm of the tentacles in adult animals, possibly representing neurons or their progenitors. Conclusion These results reveal that Runx and CBFβ likely functioned together to regulate transcription in the common ancestor of all metazoans, and the structure of the Runx-CBFβ-DNA complex has remained extremely conserved since the human-sponge divergence. The expression data suggest a hypothesis that these genes may have played a role in nerve cell differentiation or maintenance in the common ancestor of cnidarians and bilaterians.
Collapse
Affiliation(s)
- James C Sullivan
- Department of Biology, Boston University, 5 Cummington St, Boston, MA 02215, USA.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
50
|
Kaushansky N, Zilkha-Falb R, Hemo R, Lassman H, Eisenstein M, Sas A, Ben-Nun A. Pathogenic T cells in MOBP-induced murine EAE are predominantly focused to recognition of MOBP21F and MOBP27P epitopic residues. Eur J Immunol 2007; 37:3281-92. [DOI: 10.1002/eji.200737438] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
|