Chimaerin Suppresses Rac1 Activation at the Apical Membrane to Maintain the Cyst Structure
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Identification of a Novel CHN1 P.(Phe213val) Variant in a Large Han Chinese Family with Congenital Duane Retraction Syndrome
www.nature.com/scientificreports OPEN Identifcation of a novel CHN1 p.(Phe213Val) variant in a large Han Chinese family with congenital Duane retraction syndrome Tai‑Cheng Zhou1,3, Wen‑Hua Duan1,3, Xiao‑Lin Fu2,3, Qin Zhu1, Li‑Yun Guo1, Yuan Zhou1, Zhi‑Juan Hua1, Xue‑Jiao Li1, Dong‑Mei Yang1, Jie‑Ying Zhang1, Jie Yin1, Xiao‑Fan Zhang1, Guang‑Long Zhou1 & Min Hu1* Duane retraction syndrome (DRS) is a neuromuscular dysfunction of the eyes. Although many causative genes of DRS have been identifed in Europe and the United States, few reports have been published in regard to Chinese DRS. The aim of the present study was to explore the genetic defect of DRS in a Chinese family. Exome sequencing was used to identify the disease‑causing gene for the two afected family members. Ophthalmic and physical examinations, as well as genetic screenings for variants in chimerin 1 (CHN1), were performed for all family members. Functional analyses of a CHN1 variant in 293T cells included a Rac‑GTP activation assay, α2‑chimaerin translocation assay, and co‑immunoprecipitation assay. Genetic analysis revealed a NM_001822.7: c.637T > G variant in the CHN1 gene, which resulted in the substitution of a highly conserved C1 domain with valine at codon 213 (NP_001813.1: p.(Phe213Val)) (ClinVar Accession Number: SCV001335305). In-silico analysis revealed that the p.(Phe213Val) substitution afected the protein stability and connections among the amino acids of CHN1 in terms of its tertiary protein structure. Functional studies indicated that the p.(Phe213Val) substitution reduced Rac‑GTP activity and enhanced membrane translocation in response to phorbol‑myristoyl acetate (PMA). -
Snapshot: Axon Guidance Pasterkamp R
494 1 Cell Cell ??? SnapShot: Axon Guidance 153 SnapShot: XXXXXXXXXXXXXXXXXXXXXXXXXX 1 2 , ??MONTH?? ??DATE??, 200? ©200? Elsevier Inc. 200?©200? ElsevierInc. , ??MONTH?? ??DATE??, DOI R. Jeroen Pasterkamp and Alex L. Kolodkin , April11, 2013©2013Elsevier Inc. DOI http://dx.doi.org/10.1016/j.cell.2013.03.031 AUTHOR XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX 1 AFFILIATIONDepartment of XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX Neuroscience and Pharmacology, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, 3584 CG Utrecht, The Netherlands; 2Department of Neuroscience, HHMI, The Johns Hopkins University School of Medicine, Baltimore, MD 21212, USA Axon attraction and repulsion Surround repulsion Selective fasciculation Topographic mapping Self-avoidance Wild-type Dscam1 mutant Sema3A A Retina SC/Tectum EphB EphrinB P D D Mutant T A neuron N P A V V Genomic DNA P EphA EphrinA Slit Exon 4 (12) Exon 6 (48) Exon 9 (33) Exon 17 (2) Netrin Commissural axon guidance Surround repulsion of peripheral Grasshopper CNS axon Retinotectal mapping at the CNS midline nerves in vertebrates fasciculation in vertebrates Drosophila mushroom body XXXXXXXXX NEURITE/CELL Isoneuronal Sema3 Slit Sema1/4-6 Heteroneuronal EphrinA EphrinB FasII Eph Genomic DNA Pcdh-α (14) Pcdh-β (22) Pcdh-γ (22) Variable Con Variable Con Nrp Plexin ** *** Netrin LAMELLIPODIA Con DSCAM ephexin Starburst amacrine cells in mammalian retina Ras-GTP Vav See online version for legend and references. α-chimaerin GEFs/GAPs Robo FARP Ras-GDP LARG RhoGEF Kinases DCC cc0 GTPases PKA cc1 FAK Regulatory Mechanisms See online versionfor??????. Cdc42 GSK3 cc2 Rac PI3K P1 Rho P2 cc3 Abl Proteolytic cleavage P3 Regulation of expression (TF, miRNA, FILOPODIA srGAP Cytoskeleton regulatory proteins multiple isoforms) Sos Trio Pcdh Cis inhibition DOCK180 PAK ROCK Modulation of receptors’ output LIMK Myosin-II Colin Forward and reverse signaling Actin Trafcking and endocytosis NEURONAL GROWTH CONE Microtubules SnapShot: Axon Guidance R. -
Regulation of the Mammalian Target of Rapamycin Complex 2 (Mtorc2)
Regulation of the Mammalian Target Of Rapamycin Complex 2 (mTORC2) Inauguraldissertation Zur Erlangung der Würde eines Doktors der Philosophie vorgelegt der Philosophisch-Naturwissenschaftlichen Fakultät der Universität Basel von Klaus-Dieter Molle aus Heilbronn, Deutschland Basel, 2006 Genehmigt von der Philosophisch-Naturwissenschaftlichen Fakultät Auf Antrag von Prof. Michael N. Hall und Prof. Markus Affolter. Basel, den 21.11.2006 Prof. Hans-Peter Hauri Dekan Summary The growth controlling mammalian Target of Rapamycin (mTOR) is a conserved Ser/Thr kinase found in two structurally and functionally distinct complexes, mTORC1 and mTORC2. The tumor suppressor TSC1-TSC2 complex inhibits mTORC1 by acting on the small GTPase Rheb, but the role of TSC1-TSC2 and Rheb in the regulation of mTORC2 is unclear. Here we examined the role of TSC1-TSC2 in the regulation of mTORC2 in human embryonic kidney 293 cells. Induced knockdown of TSC1 and TSC2 (TSC1/2) stimulated mTORC2-dependent actin cytoskeleton organization and Paxillin phosphorylation. Furthermore, TSC1/2 siRNA increased mTORC2-dependent Ser473 phosphorylation of plasma membrane bound, myristoylated Akt/PKB. This suggests that loss of Akt/PKB Ser473 phosphorylation in TSC mutant cells, as reported previously, is due to inhibition of Akt/PKB localization rather than inhibition of mTORC2 activity. Amino acids and overexpression of Rheb failed to stimulate mTORC2 signaling. Thus, TSC1-TSC2 also inhibits mTORC2, but possibly independently of Rheb. Our results suggest that mTORC2 hyperactivation may contribute to the pathophysiology of diseases such as cancer and Tuberous Sclerosis Complex. i Acknowledgement During my PhD studies in the Biozentrum I received a lot of support from many people around me who I mention here to express my gratefulness. -
The Atypical Guanine-Nucleotide Exchange Factor, Dock7, Negatively Regulates Schwann Cell Differentiation and Myelination
The Journal of Neuroscience, August 31, 2011 • 31(35):12579–12592 • 12579 Cellular/Molecular The Atypical Guanine-Nucleotide Exchange Factor, Dock7, Negatively Regulates Schwann Cell Differentiation and Myelination Junji Yamauchi,1,3,5 Yuki Miyamoto,1 Hajime Hamasaki,1,3 Atsushi Sanbe,1 Shinji Kusakawa,1 Akane Nakamura,2 Hideki Tsumura,2 Masahiro Maeda,4 Noriko Nemoto,6 Katsumasa Kawahara,5 Tomohiro Torii,1 and Akito Tanoue1 1Department of Pharmacology and 2Laboratory Animal Resource Facility, National Research Institute for Child Health and Development, Setagaya, Tokyo 157-8535, Japan, 3Department of Biological Sciences, Tokyo Institute of Technology, Midori, Yokohama 226-8501, Japan, 4IBL, Ltd., Fujioka, Gumma 375-0005, Japan, and 5Department of Physiology and 6Bioimaging Research Center, Kitasato University School of Medicine, Sagamihara, Kanagawa 252-0374, Japan In development of the peripheral nervous system, Schwann cells proliferate, migrate, and ultimately differentiate to form myelin sheath. In all of the myelination stages, Schwann cells continuously undergo morphological changes; however, little is known about their underlying molecular mechanisms. We previously cloned the dock7 gene encoding the atypical Rho family guanine-nucleotide exchange factor (GEF) and reported the positive role of Dock7, the target Rho GTPases Rac/Cdc42, and the downstream c-Jun N-terminal kinase in Schwann cell migration (Yamauchi et al., 2008). We investigated the role of Dock7 in Schwann cell differentiation and myelination. Knockdown of Dock7 by the specific small interfering (si)RNA in primary Schwann cells promotes dibutyryl cAMP-induced morpholog- ical differentiation, indicating the negative role of Dock7 in Schwann cell differentiation. It also results in a shorter duration of activation of Rac/Cdc42 and JNK, which is the negative regulator of myelination, and the earlier activation of Rho and Rho-kinase, which is the positive regulator of myelination. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Neuronal and Glial DNA Methylation and Gene Expression Changes in Early Epileptogenesis
RESEARCH ARTICLE Neuronal and glial DNA methylation and gene expression changes in early epileptogenesis 1,2☯ 3☯ 3 4,5 Toni C. BergerID *, Magnus D. Vigeland , Hanne S. Hjorthaug , Lars Etholm , Cecilie G. Nome2, Erik Taubøll1,2, Kjell Heuser1,2³, Kaja K. Selmer3,4,6³ 1 Department of Neurology, Oslo University Hospital, Oslo, Norway, 2 University of Oslo, Oslo, Norway, 3 Department of Medical Genetics, Oslo University Hospital and University of Oslo, Oslo, Norway, 4 National Center for Epilepsy, Oslo University Hospital, Sandvika, Norway, 5 Department of Neurology, Section for Neurophysiology, Oslo University Hospital, Oslo, Norway, 6 Division of Clinical Neuroscience, Department of Research and Development, Oslo University Hospital, Oslo, Norway a1111111111 ☯ These authors contributed equally to this work. a1111111111 ³ KH and KKS also contributed equally to this work. a1111111111 * [email protected] a1111111111 a1111111111 Abstract Background and aims OPEN ACCESS Mesial Temporal Lobe Epilepsy is characterized by progressive changes of both neurons Citation: Berger TC, Vigeland MD, Hjorthaug HS, Etholm L, Nome CG, Taubøll E, et al. (2019) and glia, also referred to as epileptogenesis. No curative treatment options, apart from sur- Neuronal and glial DNA methylation and gene gery, are available. DNA methylation (DNAm) is a potential upstream mechanism in epilep- expression changes in early epileptogenesis. PLoS togenesis and may serve as a novel therapeutic target. To our knowledge, this is the first ONE 14(12): e0226575. https://doi.org/10.1371/ study to investigate epilepsy-related DNAm, gene expression (GE) and their relationship, in journal.pone.0226575 neurons and glia. Editor: Giuseppe Biagini, University of Modena and Reggio Emilia, ITALY Methods Received: July 18, 2019 We used the intracortical kainic acid injection model to elicit status epilepticus. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Systematic Analysis of Brain Lactate and Ph Levels in 65 Animal Models Related To
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.02.428362; this version posted February 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Full title: Systematic analysis of brain lactate and pH levels in 65 animal models related to 2 neuropsychiatric conditions 3 Short title: Brain lactate and pH in neuropsychiatric disorder models 4 Authors: Hideo Hagihara1,2, Hirotaka Shoji1,2, International Brain pH Project Consortium2, 5 and Tsuyoshi Miyakawa1,2* 6 Affiliations: 7 1 Division of Systems Medical Science, Institute for Comprehensive Medical Science, 8 Fujita Health University, Toyoake, Aichi 470-1192, Japan 9 2A full list of the authors in the International Brain pH Project Consortium is provided 10 at the end of the paper along with their affiliations and contributions. 11 *Corresponding Author: Tsuyoshi Miyakawa ([email protected]) 12 Keywords: lactate, pH, brain, neuropsychiatric disorders, animal models, working memory 13 bioRxiv preprint doi: https://doi.org/10.1101/2021.02.02.428362; this version posted February 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 14 Abstract 15 Altered brain energy metabolism associated with increase in lactate levels and the 16 resultant decrease in pH have been increasingly implicated in multiple neuropsychiatric 17 disorders, such as schizophrenia, bipolar disorder, autism spectrum disorder and 18 neurodegenerative disorders. -
Supplementary Materials
Supplementary material. S1. Images from automatic imaging reader Cytation™ 1. A, A’, A’’ present the same field of view. Cells migrating from the upper compartment of the inserts are stained with DID (red color), Cell nuclei are stained with DAPI (blue color). A’ and A’’ demonstrate the method of analysis (A’ – nuclei numbering, A’’ – migrating cells numbering), scale bar – 300 µm. ASC BM-MSC Y BM-MSC A mean SEM mean SEM mean SEM CXCL6 2.240 0.727 4.158 0.677 2.149 1.816 CXCL16 4.277 0.248 0.763 0.405 1.130 0.346 CXCL12 -2.855 0.483 -4.528 0.226 -3.616 0.318 SMAD3 -0.511 0.191 -1.522 0.188 -1.332 0.215 TGFB2 3.742 0.533 1.238 0.210 0.990 0.568 COL14A 1.532 0.357 -0.397 0.736 -1.522 0.469 MHX 1.397 0.414 1.145 0.412 0.642 0.613 SCX 2.984 0.301 2.062 0.320 2.031 0.249 RUNX2 3.290 0.359 2.319 0.388 2.546 0.529 PPRAG 1.720 0.303 2.926 0.423 2.912 0.215 Supplementary material S3. The table provides the mean Δct and SEM values for all genes and all groups analyzed in this study (n=8 in each group). Supplementary material S2. The table provides the list of genes which displayed significantly different expression between hASCs and hBM-MSCs A based on microarray nr Exp p-value Exp Fold Change ID Symbol Entrez Gene Name 1 2.84E-05 16.896 16960355 TM4SF1 transmembrane 4 L six family member 1 2 9.10E-09 12.238 16684080 IFI6 interferon alpha inducible protein 6 3 3.93E-08 11.851 16667702 VCAM1 vascular cell adhesion molecule 1 4 1.54E-05 9.944 16840113 CXCL16 C-X-C motif chemokine ligand 16 5 2.01E-06 9.123 16852463 RAB27B RAB27B, member RAS oncogene -
Identification of Two Signaling Submodules Within the Crkii/ELMO
Cell Death and Differentiation (2007) 14, 963–972 & 2007 Nature Publishing Group All rights reserved 1350-9047/07 $30.00 www.nature.com/cdd Identification of two signaling submodules within the CrkII/ELMO/Dock180 pathway regulating engulfment of apoptotic cells A-C Tosello-Trampont1,4, JM Kinchen1,2,4, E Brugnera1,3, LB Haney1, MO Hengartner2 and KS Ravichandran*,1 Removal of apoptotic cells is a dynamic process coordinated by ligands on apoptotic cells, and receptors and other signaling proteins on the phagocyte. One of the fundamental challenges is to understand how different phagocyte proteins form specific and functional complexes to orchestrate the recognition/removal of apoptotic cells. One evolutionarily conserved pathway involves the proteins cell death abnormal (CED)-2/chicken tumor virus no. 10 (CT10) regulator of kinase (Crk)II, CED-5/180 kDa protein downstream of chicken tumor virus no. 10 (Crk) (Dock180), CED-12/engulfment and migration (ELMO) and MIG-2/RhoG, leading to activation of the small GTPase CED-10/Rac and cytoskeletal remodeling to promote corpse uptake. Although the role of ELMO : Dock180 in regulating Rac activation has been well defined, the function of CED-2/CrkII in this complex is less well understood. Here, using functional studies in cell lines, we observe that a direct interaction between CrkII and Dock180 is not required for efficient removal of apoptotic cells. Similarly, mutants of CED-5 lacking the CED-2 interaction motifs could rescue engulfment and migration defects in CED-5 deficient worms. Mutants of CrkII and Dock180 that could not biochemically interact could colocalize in membrane ruffles. -
Identification of RNA Bound to the TDP-43 Ribonucleoprotein Complex in the Adult Mouse Brain
Identification of RNA bound to the TDP-43 ribonucleoprotein complex in the adult mouse brain Running Title: Identification of RNA bound to TDP-43 Ramesh K. Narayanan1, Marie Mangelsdorf1, Ajay Panwar1, Tim J. Butler1, Peter G. Noakes1,2, Robyn H. Wallace1,3* 1Queensland Brain Institute, 2School of Biomedical Sciences, 3School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia *Corresponding author: [email protected] Objectives. Cytoplasmic inclusions containing TDP-43 are a pathological hallmark of several neurodegenerative disorders, including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia. TDP-43 is an RNA binding protein involved in gene regulation through control of RNA transcription, splicing and transport. However, the function of TDP-43 in the nervous system is largely unknown and its role in the pathogenesis of ALS is unclear. The aim of this study was to identify genes in the central nervous system that are regulated by TDP-43. Methods. RNA-immunoprecipitation with anti-TDP-43 antibody, followed by microarray analysis (RIP- chip), was used to isolate and identify RNA bound to TDP-43 protein from mouse brain. Results. This analysis produced a list of 1,839 potential TDP-43 gene targets, many of which overlap with previous studies and whose functions include RNA processing and synaptic function. Immunohistochemistry demonstrated that the TDP-43 protein could be found at the presynaptic membrane of axon terminals in the neuromuscular junction in mice. Conclusions. The finding that TDP-43 binds to RNA that codes for genes related to synaptic function, together with the localisation of TDP-43 protein at axon terminals, suggest a role for TDP-43 in the transport of synaptic mRNAs into distal processes.