TITLE: Characterization of Neuronal Synaptopodin Reveals a Myosin V-Dependent Mechanism of Synaptopodin Clustering at the Post-Synaptic Sites
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Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Absence of NEFL in Patient-Specific Neurons in Early-Onset Charcot-Marie-Tooth Neuropathy Markus T
ARTICLE OPEN ACCESS Absence of NEFL in patient-specific neurons in early-onset Charcot-Marie-Tooth neuropathy Markus T. Sainio, MSc, Emil Ylikallio, MD, PhD, Laura M¨aenp¨a¨a, MSc, Jenni Lahtela, PhD, Pirkko Mattila, PhD, Correspondence Mari Auranen, MD, PhD, Johanna Palmio, MD, PhD, and Henna Tyynismaa, PhD Dr. Tyynismaa [email protected] Neurol Genet 2018;4:e244. doi:10.1212/NXG.0000000000000244 Abstract Objective We used patient-specific neuronal cultures to characterize the molecular genetic mechanism of recessive nonsense mutations in neurofilament light (NEFL) underlying early-onset Charcot- Marie-Tooth (CMT) disease. Methods Motor neurons were differentiated from induced pluripotent stem cells of a patient with early- onset CMT carrying a novel homozygous nonsense mutation in NEFL. Quantitative PCR, protein analytics, immunocytochemistry, electron microscopy, and single-cell transcriptomics were used to investigate patient and control neurons. Results We show that the recessive nonsense mutation causes a nearly total loss of NEFL messenger RNA (mRNA), leading to the complete absence of NEFL protein in patient’s cultured neurons. Yet the cultured neurons were able to differentiate and form neuronal networks and neuro- filaments. Single-neuron gene expression fingerprinting pinpointed NEFL as the most down- regulated gene in the patient neurons and provided data of intermediate filament transcript abundancy and dynamics in cultured neurons. Blocking of nonsense-mediated decay partially rescued the loss of NEFL mRNA. Conclusions The strict neuronal specificity of neurofilament has hindered the mechanistic studies of re- cessive NEFL nonsense mutations. Here, we show that such mutation leads to the absence of NEFL, causing childhood-onset neuropathy through a loss-of-function mechanism. -
Geometric Control of Frequency Modulation of Camp Oscillations Due to Calcium in Dendritic Spines
Article Geometric Control of Frequency Modulation of cAMP Oscillations due to Calcium in Dendritic Spines Donya Ohadi1 and Padmini Rangamani1,* 1Department of Mechanical and Aerospace Engineering, University of California, San Diego, La Jolla, California ABSTRACT The spatiotemporal regulation of cyclic adenosine monophosphate (cAMP) and its dynamic interactions with other second messengers such as calcium are critical features of signaling specificity required for neuronal development and connectivity. cAMP is known to contribute to long-term potentiation and memory formation by controlling the formation and regu- lation of dendritic spines. Despite the recent advances in biosensing techniques for monitoring spatiotemporal cAMP dynamics, the underlying molecular mechanisms that attribute to the subcellular modulation of cAMP remain unknown. In this work, we model the spatiotemporal dynamics of calcium-induced cAMP signaling pathway in dendritic spines. Using a three-dimensional reaction-diffusion model, we investigate the effect of different spatial characteristics of cAMP dynamics that may be responsible for subcellular regulation of cAMP concentrations. Our model predicts that the volume/surface ratio of the spine, regulated through the spine head size, spine neck size, and the presence of physical barriers (spine apparatus), is an important regulator of cAMP dynamics. Furthermore, localization of the enzymes responsible for the synthesis and degradation of cAMP in different compartments also modulates the oscillatory patterns of cAMP through exponential relationships. Our findings shed light on the significance of complex geometric and localization relationships for cAMP dynamics in dendritic spines. SIGNIFICANCE Dendritic spines are small signaling subcompartments along dendrites in neurons. They are the primary sites of postsynaptic activity. Here, we investigate how spine size and spatial organization of enzymes can change the dynamics of cyclic adenosine monophosphate, a second messenger interacting with calcium. -
Serum Albumin OS=Homo Sapiens
Protein Name Cluster of Glial fibrillary acidic protein OS=Homo sapiens GN=GFAP PE=1 SV=1 (P14136) Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 Cluster of Isoform 3 of Plectin OS=Homo sapiens GN=PLEC (Q15149-3) Cluster of Hemoglobin subunit beta OS=Homo sapiens GN=HBB PE=1 SV=2 (P68871) Vimentin OS=Homo sapiens GN=VIM PE=1 SV=4 Cluster of Tubulin beta-3 chain OS=Homo sapiens GN=TUBB3 PE=1 SV=2 (Q13509) Cluster of Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 (P60709) Cluster of Tubulin alpha-1B chain OS=Homo sapiens GN=TUBA1B PE=1 SV=1 (P68363) Cluster of Isoform 2 of Spectrin alpha chain, non-erythrocytic 1 OS=Homo sapiens GN=SPTAN1 (Q13813-2) Hemoglobin subunit alpha OS=Homo sapiens GN=HBA1 PE=1 SV=2 Cluster of Spectrin beta chain, non-erythrocytic 1 OS=Homo sapiens GN=SPTBN1 PE=1 SV=2 (Q01082) Cluster of Pyruvate kinase isozymes M1/M2 OS=Homo sapiens GN=PKM PE=1 SV=4 (P14618) Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 Clathrin heavy chain 1 OS=Homo sapiens GN=CLTC PE=1 SV=5 Filamin-A OS=Homo sapiens GN=FLNA PE=1 SV=4 Cytoplasmic dynein 1 heavy chain 1 OS=Homo sapiens GN=DYNC1H1 PE=1 SV=5 Cluster of ATPase, Na+/K+ transporting, alpha 2 (+) polypeptide OS=Homo sapiens GN=ATP1A2 PE=3 SV=1 (B1AKY9) Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 Dihydropyrimidinase-related protein 2 OS=Homo sapiens GN=DPYSL2 PE=1 SV=1 Cluster of Alpha-actinin-1 OS=Homo sapiens GN=ACTN1 PE=1 SV=2 (P12814) 60 kDa heat shock protein, mitochondrial OS=Homo -
Fear and Safety Learning Differentially Affect Synapse Size and Dendritic Translation in the Lateral Amygdala
Fear and safety learning differentially affect synapse size and dendritic translation in the lateral amygdala Linnaea E. Ostroffa,1, Christopher K. Caina, Joseph Bedonta,b, Marie H. Monfilsa, and Joseph E. LeDouxa,c aCenter for Neural Science, New York University, New York, NY 10003; bDepartment of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205; and cEmotional Brain Institute, Nathan S. Kline Institute for Psychiatry Research, Orangeburg, NY 10962 Edited by Richard L. Huganir, Johns Hopkins University School of Medicine, Baltimore, MD, and approved April 13, 2010 (received for review November 19, 2009) Fear learning is associated with changes in synapse strength in the clearly involved in hippocampal LTP and is suspected to occur with lateral amygdala (LA). To examine changes in LA dendritic spine fear conditioning, although this has not been directly observed structure with learning, we used serial electron microscopy to re- (22–25). We found that there were more polyribosomes in LA construct dendrites after either fear or safety conditioning. The dendrites after fear conditioning and that their presence in spines spine apparatus, a smooth endoplasmic reticulum (sER) specializa- was differentially associated with changes in synapse size. tion found in very large spines, appeared more frequently after fear conditioning. Fear conditioning was associated with larger synapses Results on spines that did not contain a spine apparatus, whereas safety Behavioral Evidence for Single-Session Fear or Safety Learning. To conditioning resulted in smaller synapses on these spines. Synapses compare spine morphology in adult rats during consolidation of on spines with a spine apparatus were smaller after safety con- fear learning, we designed and tested two training protocols of ditioning but unchanged with fear conditioning, suggesting a ceil- equal length with equal numbers of tone and shock pre- ing effect. -
De Novo, Systemic, Deleterious Amino Acid Substitutions Are Common in Large Cytoskeleton‑Related Protein Coding Regions
BIOMEDICAL REPORTS 6: 211-216, 2017 De novo, systemic, deleterious amino acid substitutions are common in large cytoskeleton‑related protein coding regions REBECCA J. STOLL1, GRACE R. THOMPSON1, MOHAMMAD D. SAMY1 and GEORGE BLANCK1,2 1Department of Molecular Medicine, Morsani College of Medicine, University of South Florida; 2Immunology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA Received June 13, 2016; Accepted October 31, 2016 DOI: 10.3892/br.2016.826 Abstract. Human mutagenesis is largely random, thus large Introduction coding regions, simply on the basis of probability, represent relatively large mutagenesis targets. Thus, we considered Genetic damage is largely random and therefore tends to the possibility that large cytoskeletal-protein related coding affect the larger, functional regions of the human genome regions (CPCRs), including extra-cellular matrix (ECM) more frequently than the smaller regions (1). For example, coding regions, would have systemic nucleotide variants that a systematic study has revealed that cancer fusion genes, on are not present in common SNP databases. Presumably, such average, are statistically, significantly larger than other human variants arose recently in development or in recent, preceding genes (2,3). The large introns of potential cancer fusion genes generations. Using matched breast cancer and blood-derived presumably allow for many different productive recombina- normal datasets from the cancer genome atlas, CPCR single tion opportunities, i.e., many recombinations that would allow nucleotide variants (SNVs) not present in the All SNPs(142) for exon juxtaposition and the generation of hybrid proteins. or 1000 Genomes databases were identified. Using the Protein Smaller cancer fusion genes tend to be associated with the rare Variation Effect Analyzer internet-based tool, it was discov- types of cancer, for example EWS RNA binding protein 1 in ered that apparent, systemic mutations (not shared among Ewing's sarcoma. -
Neurofilaments: Neurobiological Foundations for Biomarker Applications
Neurofilaments: neurobiological foundations for biomarker applications Arie R. Gafson1, Nicolas R. Barthelmy2*, Pascale Bomont3*, Roxana O. Carare4*, Heather D. Durham5*, Jean-Pierre Julien6,7*, Jens Kuhle8*, David Leppert8*, Ralph A. Nixon9,10,11,12*, Roy Weller4*, Henrik Zetterberg13,14,15,16*, Paul M. Matthews1,17 1 Department of Brain Sciences, Imperial College, London, UK 2 Department of Neurology, Washington University School of Medicine, St Louis, MO, USA 3 a ATIP-Avenir team, INM, INSERM , Montpellier university , Montpellier , France. 4 Clinical Neurosciences, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, United Kingdom 5 Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada 6 Department of Psychiatry and Neuroscience, Laval University, Quebec, Canada. 7 CERVO Brain Research Center, 2601 Chemin de la Canardière, Québec, QC, G1J 2G3, Canada 8 Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland. 9 Center for Dementia Research, Nathan Kline Institute, Orangeburg, NY, 10962, USA. 10Departments of Psychiatry, New York University School of Medicine, New York, NY, 10016, 11 Neuroscience Institute, New York University School of Medicine, New York, NY, 10016, USA. 12Department of Cell Biology, New York University School of Medicine, New York, NY, 10016, USA 13 University College London Queen Square Institute of Neurology, London, UK 14 UK Dementia Research Institute at University College London 15 Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden 16 Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden 17 UK Dementia Research Institute at Imperial College, London * Co-authors ordered alphabetically Address for correspondence: Prof. -
Dysregulation of Human NEFM and NEFH Mrna Stability by ALS-Linked Mirnas Danae Campos-Melo1†, Zachary C
Campos-Melo et al. Molecular Brain (2018) 11:43 https://doi.org/10.1186/s13041-018-0386-3 SHORT REPORT Open Access Dysregulation of human NEFM and NEFH mRNA stability by ALS-linked miRNAs Danae Campos-Melo1†, Zachary C. E. Hawley1† and Michael J. Strong1,2,3,4* Abstract Neurofilaments (NFs) are the most abundant cytoskeletal component of vertebrate myelinated axons. NFs function by determining axonal caliber, promoting axonal growth and forming a 3-dimensional lattice that supports the organization of cytoplasmic organelles. The stoichiometry of NF protein subunits (NFL, NFM and NFH) has to be tightly controlled to avoid the formation of NF neuronal cytoplasmic inclusions (NCIs), axonal degeneration and neuronal death, all pathological hallmarks of amyotrophic lateral sclerosis (ALS). The post-transcriptional control of NF transcripts is critical for regulating normal levels of NF proteins. Previously, we showed that miRNAs that are dysregulated in ALS spinal cord regulate the levels of NEFL mRNA. In order to complete the understanding of altered NF expression in ALS, in this study we have investigated the regulation of NEFM and NEFH mRNA levels by miRNAs. We observed that a small group of ALS-linked miRNAs that are expressed in human spinal motor neurons directly regulate NEFM and NEFH transcript levels in a manner that is associated with an increase in NFM and NFH protein levels in ALS spinal cord homogenates. In concert with previous observations demonstrating the suppression of NEFL mRNA steady state levels in ALS, these observations provide support for the hypothesis that the dysregulation of miRNAs in spinal motor neurons in ALS fundamentally alters the stoichiometry of NF expression, leading to the formation of pathological NCIs. -
Proteomic Expression Profile in Human Temporomandibular Joint
diagnostics Article Proteomic Expression Profile in Human Temporomandibular Joint Dysfunction Andrea Duarte Doetzer 1,*, Roberto Hirochi Herai 1 , Marília Afonso Rabelo Buzalaf 2 and Paula Cristina Trevilatto 1 1 Graduate Program in Health Sciences, School of Medicine, Pontifícia Universidade Católica do Paraná (PUCPR), Curitiba 80215-901, Brazil; [email protected] (R.H.H.); [email protected] (P.C.T.) 2 Department of Biological Sciences, Bauru School of Dentistry, University of São Paulo, Bauru 17012-901, Brazil; [email protected] * Correspondence: [email protected]; Tel.: +55-41-991-864-747 Abstract: Temporomandibular joint dysfunction (TMD) is a multifactorial condition that impairs human’s health and quality of life. Its etiology is still a challenge due to its complex development and the great number of different conditions it comprises. One of the most common forms of TMD is anterior disc displacement without reduction (DDWoR) and other TMDs with distinct origins are condylar hyperplasia (CH) and mandibular dislocation (MD). Thus, the aim of this study is to identify the protein expression profile of synovial fluid and the temporomandibular joint disc of patients diagnosed with DDWoR, CH and MD. Synovial fluid and a fraction of the temporomandibular joint disc were collected from nine patients diagnosed with DDWoR (n = 3), CH (n = 4) and MD (n = 2). Samples were subjected to label-free nLC-MS/MS for proteomic data extraction, and then bioinformatics analysis were conducted for protein identification and functional annotation. The three Citation: Doetzer, A.D.; Herai, R.H.; TMD conditions showed different protein expression profiles, and novel proteins were identified Buzalaf, M.A.R.; Trevilatto, P.C. -
Ultrastructural Analysis of Spine Plasticity 11
Ultrastructural Analysis of Spine Plasticity 11 Ultrastructural Analysis of Spine Plasticity J N Bourne and K M Harris, Medical College of from the shaft to spines. Similarly, endosomal compart- Georgia, Augusta, GA, USA ments including coated pits and vesicles, large vesicles, ã 2009 Elsevier Ltd. All rights reserved. tubules, and multivesicular bodies are restricted to a subpopulation of dendritic spines that differs from spines that contain SER. Mitochondria rarely occur in dendritic spines and are usually restricted to those Introduction that are very large, complex, and highly branched. Dendritic spines are small protrusions that serve as the However, during periods of active synapse formation major site of excitatory synaptic transmission in the and remodeling in cultured neurons, mitochondria brain. The shape and density of spines can be affected can localize to smaller dendritic spines. by numerous factors, including developmental stage, Postsynaptic Targets experimental preparation, temperature, exposure to enriched environments, and neuronal pathology. In Evaluation of dendritic spine structure readily reveals addition, physiological models of learning, including them to be the major postsynaptic target of excitatory long-term potentiation (LTP) and long-term depres- synaptic input (Figure 2(a)). Since all dendritic spines sion (LTD), have indicated that alterations in synaptic have at least one excitatory synapse on their head, ultrastructure may underlie the storage of information more spines mean more synapses and accordingly in the brain. more point-to-point connections in a neuronal ensemble involving spiny neurons. The size of the Spine Structure and Function spine head also influences the amount of synaptic input, because larger spines are more sensitive to Spine Shape glutamate, the major excitatory neurotransmitter in the brain. -
Spatial Distribution of Leading Pacemaker Sites in the Normal, Intact Rat Sinoa
Supplementary Material Supplementary Figure 1: Spatial distribution of leading pacemaker sites in the normal, intact rat sinoatrial 5 nodes (SAN) plotted along a normalized y-axis between the superior vena cava (SVC) and inferior vena 6 cava (IVC) and a scaled x-axis in millimeters (n = 8). Colors correspond to treatment condition (black: 7 baseline, blue: 100 µM Acetylcholine (ACh), red: 500 nM Isoproterenol (ISO)). 1 Supplementary Figure 2: Spatial distribution of leading pacemaker sites before and after surgical 3 separation of the rat SAN (n = 5). Top: Intact SAN preparations with leading pacemaker sites plotted during 4 baseline conditions. Bottom: Surgically cut SAN preparations with leading pacemaker sites plotted during 5 baseline conditions (black) and exposure to pharmacological stimulation (blue: 100 µM ACh, red: 500 nM 6 ISO). 2 a &DUGLDFIoQChDQQHOV .FQM FOXVWHU &DFQDG &DFQDK *MD &DFQJ .FQLS .FQG .FQK .FQM &DFQDF &DFQE .FQM í $WSD .FQD .FQM í .FQN &DVT 5\U .FQM &DFQJ &DFQDG ,WSU 6FQD &DFQDG .FQQ &DFQDJ &DFQDG .FQD .FQT 6FQD 3OQ 6FQD +FQ *MD ,WSU 6FQE +FQ *MG .FQN .FQQ .FQN .FQD .FQE .FQQ +FQ &DFQDD &DFQE &DOP .FQM .FQD .FQN .FQG .FQN &DOP 6FQD .FQD 6FQE 6FQD 6FQD ,WSU +FQ 6FQD 5\U 6FQD 6FQE 6FQD .FQQ .FQH 6FQD &DFQE 6FQE .FQM FOXVWHU V6$1 L6$1 5$ /$ 3 b &DUGLDFReFHSWRUV $GUDF FOXVWHU $GUDD &DY &KUQE &KUP &KJD 0\O 3GHG &KUQD $GUE $GUDG &KUQE 5JV í 9LS $GUDE 7SP í 5JV 7QQF 3GHE 0\K $GUE *QDL $QN $GUDD $QN $QN &KUP $GUDE $NDS $WSE 5DPS &KUP 0\O &KUQD 6UF &KUQH $GUE &KUQD FOXVWHU V6$1 L6$1 5$ /$ 4 c 1HXURQDOPURWHLQV -
Supplemental Text and Figures
Supplemental Materials and Methods Experimental bone metastasis assay Primary PCa cells were sorted by GFP marker from mTmG+ tumors, and 105 cells in 20μL PBS were injected using Hamilton syringe into the tibia of 6-week old NSG mice. Mice were monitored biweekly for moribund signs for euthanasia and organ harvest. Noninvasive mouse and ex vivo imaging MRI imaging with Bruker ICON and fluorescence imaging of fresh organs with metastasis enumeration were recently described (Lu et al. 2017). Primary prostate cell sphere formation assay Isolate of primary cells from prostate, culture and counting of prostatospheres on Matrigel were performed as described (Lukacs et al. 2010). For organoid culture assay, we followed a published matrigel embedding method (Chua et al. 2014). RNA-Seq and differential gene expression Total RNA was isolated from prostate tumors using Direct-zol RNA MiniPrep Kit (Zymo Research) and processed for stranded total RNA-Seq using Illumina HiSeq 4000 at Sequencing and Microarray Facility at MD Anderson Cancer Center. The differential expression analysis was performed using the DESeq2 package of R. P-values obtained after multiple binomial tests were adjusted using BH method. Significant genes are defined by using a cut-off of 0.05 on the BH corrected p-value and an absolute log2 fold change value of at least 1.5. Histology and western blot H&E stain, immunohistochemical (IHC) and western blot were performed as previously described (Ding et al. 2011; Wang et al. 2016). Primary antibodies for IHC include Ki67 (Fisher, RM-9106-S1), cleaved caspase 3 (Cell Signaling Technology aka CST, 9661), cyclin D1 (Fisher, clone SP4), TGFBR2 (Abcam, ab61213), BMPR2 (Abcam, ab130206), AR (EMD Millipore, 06-680), phospho- Akt (CST, 4060), GFP (CST, 2956), E-Cadherin (CST, 14472).