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      Inhibiting Hippo pathway kinases releases WWC1 to promote AMPAR-dependent synaptic plasticity and long-term memory in mice

      1 , 2 , 3 , 4 , 2 , 5 , 6 , 1 , 7 , 8 , 9 , 10 , 1 , 1 , 2 , 5 , 2 , 11 , 11 , 12 , 1 , 1 , 13 , 14 , 2 , 15 , 16 , 15 , 11 , 17 , 18 , 19 , 12 , 20 , 21 , 22 , 23 , 24 , 16 , 25 , 26 , 15 , 8 , 9 , 10 , 27 , 5 , 28 , 1 , 2
      Science Signaling
      American Association for the Advancement of Science (AAAS)

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          Abstract

          The localization, number, and function of postsynaptic AMPA-type glutamate receptors (AMPARs) are crucial for synaptic plasticity, a cellular correlate for learning and memory. The Hippo pathway member WWC1 is an important component of AMPAR-containing protein complexes. However, the availability of WWC1 is constrained by its interaction with the Hippo pathway kinases LATS1 and LATS2 (LATS1/2). Here, we explored the biochemical regulation of this interaction and found that it is pharmacologically targetable in vivo. In primary hippocampal neurons, phosphorylation of LATS1/2 by the upstream kinases MST1 and MST2 (MST1/2) enhanced the interaction between WWC1 and LATS1/2, which sequestered WWC1. Pharmacologically inhibiting MST1/2 in male mice and in human brain-derived organoids promoted the dissociation of WWC1 from LATS1/2, leading to an increase in WWC1 in AMPAR-containing complexes. MST1/2 inhibition enhanced synaptic transmission in mouse hippocampal brain slices and improved cognition in healthy male mice and in male mouse models of Alzheimer’s disease and aging. Thus, compounds that disrupt the interaction between WWC1 and LATS1/2 might be explored for development as cognitive enhancers.

          Abstract

          Blocking its sequestration by Hippo pathway kinases shifts WWC1 to neuroreceptors that promote learning.

          Editor’s summary

          The scaffolding protein WWC1 facilitates signaling through the Hippo pathway and promotes synaptic plasticity that underlies learning and memory. Stepan et al . found that blocking Hippo signaling improved cognition in mice by enabling the redistribution of WWC1. In hippocampal neurons, WWC1 was bound to Hippo pathway kinases. Blocking the activation of these kinases released WWC1 to interact with AMPA-type glutamate receptor complexes. This treatment improved cognitive performance in aged and Alzheimer’s disease model mice, revealing that targeting Hippo pathway kinases may have potential for therapeutic development. —Leslie K. Ferrarelli

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          MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification.

          Efficient analysis of very large amounts of raw data for peptide identification and protein quantification is a principal challenge in mass spectrometry (MS)-based proteomics. Here we describe MaxQuant, an integrated suite of algorithms specifically developed for high-resolution, quantitative MS data. Using correlation analysis and graph theory, MaxQuant detects peaks, isotope clusters and stable amino acid isotope-labeled (SILAC) peptide pairs as three-dimensional objects in m/z, elution time and signal intensity space. By integrating multiple mass measurements and correcting for linear and nonlinear mass offsets, we achieve mass accuracy in the p.p.b. range, a sixfold increase over standard techniques. We increase the proportion of identified fragmentation spectra to 73% for SILAC peptide pairs via unambiguous assignment of isotope and missed-cleavage state and individual mass precision. MaxQuant automatically quantifies several hundred thousand peptides per SILAC-proteome experiment and allows statistically robust identification and quantification of >4,000 proteins in mammalian cell lysates.
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            Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ *

            Protein quantification without isotopic labels has been a long-standing interest in the proteomics field. However, accurate and robust proteome-wide quantification with label-free approaches remains a challenge. We developed a new intensity determination and normalization procedure called MaxLFQ that is fully compatible with any peptide or protein separation prior to LC-MS analysis. Protein abundance profiles are assembled using the maximum possible information from MS signals, given that the presence of quantifiable peptides varies from sample to sample. For a benchmark dataset with two proteomes mixed at known ratios, we accurately detected the mixing ratio over the entire protein expression range, with greater precision for abundant proteins. The significance of individual label-free quantifications was obtained via a t test approach. For a second benchmark dataset, we accurately quantify fold changes over several orders of magnitude, a task that is challenging with label-based methods. MaxLFQ is a generic label-free quantification technology that is readily applicable to many biological questions; it is compatible with standard statistical analysis workflows, and it has been validated in many and diverse biological projects. Our algorithms can handle very large experiments of 500+ samples in a manageable computing time. It is implemented in the freely available MaxQuant computational proteomics platform and works completely seamlessly at the click of a button.
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              Andromeda: a peptide search engine integrated into the MaxQuant environment.

              A key step in mass spectrometry (MS)-based proteomics is the identification of peptides in sequence databases by their fragmentation spectra. Here we describe Andromeda, a novel peptide search engine using a probabilistic scoring model. On proteome data, Andromeda performs as well as Mascot, a widely used commercial search engine, as judged by sensitivity and specificity analysis based on target decoy searches. Furthermore, it can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, such as highly phosphorylated peptides, and accommodates extremely large databases. The algorithms of Andromeda are provided. Andromeda can function independently or as an integrated search engine of the widely used MaxQuant computational proteomics platform and both are freely available at www.maxquant.org. The combination enables analysis of large data sets in a simple analysis workflow on a desktop computer. For searching individual spectra Andromeda is also accessible via a web server. We demonstrate the flexibility of the system by implementing the capability to identify cofragmented peptides, significantly improving the total number of identified peptides.
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                Journal
                Science Signaling
                Sci. Signal.
                American Association for the Advancement of Science (AAAS)
                1945-0877
                1937-9145
                April 30 2024
                April 30 2024
                : 17
                : 834
                Affiliations
                [1 ]Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
                [2 ]Research Group Neurohomeostasis, Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany.
                [3 ]Department of Obstetrics and Gynecology, Paracelsus Medical University, 5020 Salzburg, Austria.
                [4 ]Department of Gynecology and Obstetrics, Technical University of Munich, 81675 Munich, Germany.
                [5 ]Research Group Neuronal Plasticity, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
                [6 ]Max Planck School of Cognition, 04103 Leipzig, Germany.
                [7 ]Metabolomics Core Facility, Max Planck Institute for Biology of Ageing, 50931 Cologne, Germany.
                [8 ]Chair of Proteomics and Bioanalytics, Technical University of Munich, 85354 Freising, Germany.
                [9 ]German Cancer Consortium (DKTK), 80336 Munich, Germany.
                [10 ]German Cancer Center (DKFZ), 69120 Heidelberg, Germany.
                [11 ]Research Group Neurobiology of Stress Resilience, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
                [12 ]Department of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
                [13 ]Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.
                [14 ]Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.
                [15 ]Department of Medicine D, Division of General Internal Medicine, Nephrology, and Rheumatology, University Hospital Münster, 48149 Münster, Germany.
                [16 ]Research Group Cell Signalling, Department of Psychiatry and Psychotherapy, LMU University Hospital, LMU Munich, 80336 Munich, Germany.
                [17 ]Department of Psychiatry and Psychotherapy, University Hospital Bonn, 53127 Bonn, Germany.
                [18 ]Proteomics and Biomarkers, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
                [19 ]Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223 Yunnan, China.
                [20 ]Research Group Molecular Neurogenetics, Max Planck Institute of Psychiatry, 80804 Munich, Germany.
                [21 ]Department of Anaesthesiology and Intensive Care Medicine, Klinikum rechts der Isar, Technical University of Munich, 81675 Munich, Germany.
                [22 ]Division of Neuroscience, Faculty of Biology, Medicine and Health, School of Biological Sciences, University of Manchester, Salford Royal Hospital, Salford M6 8HD, UK.
                [23 ]Geoffrey Jefferson Brain Research Centre, Manchester Academic Health Science Centre (MAHSC), Salford M6 8HD, UK.
                [24 ]Division of Informatics, Imaging and Data Sciences, University of Manchester, Manchester M13 9NT, UK.
                [25 ]Institute of Physiology II, Medical Faculty University of Bonn, 53115 Bonn, Germany.
                [26 ]Department of Life Sciences, Manchester Metropolitan University, Manchester M15 6BH, UK.
                [27 ]Bavarian Center for Biomolecular Mass Spectrometry, Technical University of Munich, 85354 Freising, Germany.
                [28 ]Central Nervous System Diseases Research, Boehringer Ingelheim Pharmaceuticals GmbH & Co. KG, 88397 Biberach an der Riß, Germany.
                Article
                10.1126/scisignal.adj6603
                95c1d3cd-2384-4f3f-a8c6-3792d8c6553b
                © 2024

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