Function of Isolated Pancreatic Islets from Patients at Onset Of
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Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
Epac2a-Null Mice Exhibit Obesity-Prone Nature More Susceptible to Leptin Resistance
OPEN International Journal of Obesity (2017) 41, 279–288 www.nature.com/ijo ORIGINAL ARTICLE Epac2a-null mice exhibit obesity-prone nature more susceptible to leptin resistance M Hwang1,5,YGo2,5,6, J-H Park1, S-K Shin1, SE Song1, B-C Oh3, S-S Im1, I Hwang1, YH Jeon2, I-K Lee2, S Seino4 and D-K Song1 BACKGROUND: The exchange protein directly activated by cAMP (Epac), which is primarily involved in cAMP signaling, has been known to be essential for controlling body energy metabolism. Epac has two isoforms: Epac1 and Epac2. The function of Epac1 on obesity was unveiled using Epac1 knockout (KO) mice. However, the role of Epac2 in obesity remains unclear. METHODS: To evaluate the role of Epac2 in obesity, we used Epac2a KO mice, which is dominantly expressed in neurons and endocrine tissues. Physiological factors related to obesity were analyzed: body weight, fat mass, food intake, plasma leptin and adiponectin levels, energy expenditure, glucose tolerance, and insulin and leptin resistance. To determine the mechanism of Epac2a, mice received exogenous leptin and then hypothalamic leptin signaling was analyzed. RESULTS: Epac2a KO mice appeared to have normal glucose tolerance and insulin sensitivity until 12 weeks of age, but an early onset increase of plasma leptin levels and decrease of plasma adiponectin levels compared with wild-type mice. Acute leptin injection revealed impaired hypothalamic leptin signaling in KO mice. Consistently, KO mice fed a high-fat diet (HFD) were significantly obese, presenting greater food intake and lower energy expenditure. HFD-fed KO mice were also characterized by greater impairment of hypothalamic leptin signaling and by weaker leptin-induced decrease in food consumption compared with HFD-fed wild-type mice. -
Sodium–Taste Cells Require Skn-1A for Generation and Share Molecular Features with Sweet, Umami, and Bitter Taste Cells
Research Article: New Research Sensory and Motor Systems Sodium–Taste Cells Require Skn-1a for Generation and Share Molecular Features with Sweet, Umami, and Bitter Taste Cells Makoto Ohmoto,1,2,p Masafumi Jyotaki,1,p J. Kevin Foskett,3,4 and Ichiro Matsumoto1 https://doi.org/10.1523/ENEURO.0385-20.2020 1Monell Chemical Senses Center, Philadelphia, PA 19104, 2Center for Biological Resources and Informatics, Tokyo Institute of Technology, Yokohama 226-8501, Japan, 3Department of Physiology, University of Pennsylvania, Philadelphia, PA 19104, and 4Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104 Abstract Taste buds are maintained via continuous turnover of taste bud cells derived from local epithelial stem cells. A transcription factor Skn-1a (also known as Pou2f3) is required for the generation of sweet, umami (savory), and bitter taste cells that commonly express TRPM5 and CALHM ion channels. Here, we demonstrate that so- dium–taste cells distributed only in the anterior oral epithelia and involved in evoking salty taste also require Skn-1a for their generation. We discovered taste cells in fungiform papillae and soft palate that show similar but not identical molecular feature with sweet, umami, and bitter taste-mediated Type II cells. This novel cell population expresses Plcb2, Itpr3, Calhm3, Skn-1a, and ENaCa (also known as Scnn1a) encoding the putative amiloride-sensitive (AS) salty taste receptor but lacks Trpm5 and Gnat3. Skn-1a-deficient taste buds are pre- dominantly composed of putative non-sensory Type I cells and sour-sensing Type III cells, whereas wild-type taste buds include Type II (i.e., sweet, umami, and bitter taste) cells and sodium–taste cells. -
Transcriptomic Uniqueness and Commonality of the Ion Channels and Transporters in the Four Heart Chambers Sanda Iacobas1, Bogdan Amuzescu2 & Dumitru A
www.nature.com/scientificreports OPEN Transcriptomic uniqueness and commonality of the ion channels and transporters in the four heart chambers Sanda Iacobas1, Bogdan Amuzescu2 & Dumitru A. Iacobas3,4* Myocardium transcriptomes of left and right atria and ventricles from four adult male C57Bl/6j mice were profled with Agilent microarrays to identify the diferences responsible for the distinct functional roles of the four heart chambers. Female mice were not investigated owing to their transcriptome dependence on the estrous cycle phase. Out of the quantifed 16,886 unigenes, 15.76% on the left side and 16.5% on the right side exhibited diferential expression between the atrium and the ventricle, while 5.8% of genes were diferently expressed between the two atria and only 1.2% between the two ventricles. The study revealed also chamber diferences in gene expression control and coordination. We analyzed ion channels and transporters, and genes within the cardiac muscle contraction, oxidative phosphorylation, glycolysis/gluconeogenesis, calcium and adrenergic signaling pathways. Interestingly, while expression of Ank2 oscillates in phase with all 27 quantifed binding partners in the left ventricle, the percentage of in-phase oscillating partners of Ank2 is 15% and 37% in the left and right atria and 74% in the right ventricle. The analysis indicated high interventricular synchrony of the ion channels expressions and the substantially lower synchrony between the two atria and between the atrium and the ventricle from the same side. Starting with crocodilians, the heart pumps the blood through the pulmonary circulation and the systemic cir- culation by the coordinated rhythmic contractions of its upper lef and right atria (LA, RA) and lower lef and right ventricles (LV, RV). -
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 -
DLL1- and DLL4-Mediated Notch Signaling Is Essential for Adult Pancreatic Islet
Page 1 of 41 Diabetes DLL1- and DLL4-mediated Notch signaling is essential for adult pancreatic islet homeostasis (running title –Role of Delta ligands in adult pancreas) Marina Rubey1,2,6*, Nirav Florian Chhabra1,2*, Daniel Gradinger1,2,7, Adrián Sanz-Moreno1, Heiko Lickert2,4,5, Gerhard K. H. Przemeck1,2, Martin Hrabě de Angelis1,2,3** 1 Helmholtz Zentrum München, Institute of Experimental Genetics and German Mouse Clinic, Neuherberg, Germany 2 German Center for Diabetes Research (DZD), Neuherberg, Germany 3 Chair of Experimental Genetics, Centre of Life and Food Sciences, Weihenstephan, Technische Universität München, Freising, Germany 4 Helmholtz Zentrum München, Institute of Diabetes and Regeneration Research and Institute of Stem Cell Research, Neuherberg, Germany 5 Technische Universität München, Medical Faculty, Munich, Germany 6 Present address Marina Rubey: WMC Healthcare GmbH, Munich, Germany 7 Present address Daniel Gradinger: PSI CRO AG, Munich, Germany *These authors contributed equally **Corresponding author: Prof. Dr. Martin Hrabě de Angelis, Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Experimental Genetics, Ingolstädter Landstr.1, 85764 Neuherberg, Germany. Phone: +49-89-3187-3502. Fax: +49- 89-3187-3500. E-mail address: [email protected] Word count – 4088 / Figures – 7 Diabetes Publish Ahead of Print, published online February 6, 2020 Diabetes Page 2 of 41 Abstract Genes of the Notch signaling pathway are expressed in different cell types and organs at different time points during embryonic development and adulthood. The Notch ligand Delta- like 1 (DLL1) controls the decision between endocrine and exocrine fates of multipotent progenitors in the developing pancreas, and loss of Dll1 leads to premature endocrine differentiation. -
Increased Microvascular Permeability in Mice Lacking Epac1 (Rapgef3)
Increased microvascular permeability in mice lacking Epac1 (Rapgef3) Kopperud, R. K.; Rygh, C. Brekke; Karlsen, T. V.; Krakstad, C.; Kleppe, R.; Hoivik, E. A.; Bakke, M.; Tenstad, O.; Selheim, F.; Lidén, Å.; Madsen, Lise; Pavlin, T.; Taxt, T.; Kristiansen, Karsten; Curry, F. -R. E.; Reed, R. K.; Døskeland, S. O. Published in: Acta Physiologica DOI: 10.1111/apha.12697 Publication date: 2017 Document version Publisher's PDF, also known as Version of record Document license: CC BY-NC-ND Citation for published version (APA): Kopperud, R. K., Rygh, C. B., Karlsen, T. V., Krakstad, C., Kleppe, R., Hoivik, E. A., Bakke, M., Tenstad, O., Selheim, F., Lidén, Å., Madsen, L., Pavlin, T., Taxt, T., Kristiansen, K., Curry, F. -R. E., Reed, R. K., & Døskeland, S. O. (2017). Increased microvascular permeability in mice lacking Epac1 (Rapgef3). Acta Physiologica, 219(2), 441-452. https://doi.org/10.1111/apha.12697 Download date: 30. Sep. 2021 Acta Physiol 2017, 219, 441–452 Increased microvascular permeability in mice lacking Epac1 (Rapgef3) † § R. K. Kopperud,1,2,*, C. Brekke Rygh,1,*, T. V. Karlsen,1 C. Krakstad,1 R. Kleppe,1 † ¶ ‡ E. A. Hoivik,1, M. Bakke,1 O. Tenstad,1 F. Selheim,1 A. Liden, 1, L. Madsen,1,3, T. Pavlin,1 T. Taxt,1 K. Kristiansen,3 F.-R. E. Curry,4 R. K. Reed1,2 and S. O. Døskeland1 1 Department of Biomedicine, University of Bergen, Bergen, Norway 2 Centre for Cancer Biomarkers (CCBIO), University of Bergen, Bergen, Norway 3 Department of Biology, University of Copenhagen, Copenhagen, Denmark 4 Department of Physiology and Membrane Biology, School of Medicine, University of California, Davis, CA, USA Received 18 February 2016, Abstract revision requested 15 March Aim: Maintenance of the blood and extracellular volume requires tight con- 2016, trol of endothelial macromolecule permeability, which is regulated by cAMP revision received 12 April 2016, signalling. -
Systems-Level Identification of PKA-Dependent Signaling In
Systems-level identification of PKA-dependent PNAS PLUS signaling in epithelial cells Kiyoshi Isobea, Hyun Jun Junga, Chin-Rang Yanga,J’Neka Claxtona, Pablo Sandovala, Maurice B. Burga, Viswanathan Raghurama, and Mark A. Kneppera,1 aEpithelial Systems Biology Laboratory, Systems Biology Center, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892-1603 Edited by Peter Agre, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, and approved August 29, 2017 (received for review June 1, 2017) Gproteinstimulatoryα-subunit (Gαs)-coupled heptahelical receptors targets are as yet unidentified. Some of the known PKA targets regulate cell processes largely through activation of protein kinase A are other protein kinases and phosphatases, meaning that PKA (PKA). To identify signaling processes downstream of PKA, we de- activation is likely to result in indirect changes in protein phos- leted both PKA catalytic subunits using CRISPR-Cas9, followed by a phorylation manifest as a signaling network, the details of which “multiomic” analysis in mouse kidney epithelial cells expressing the remain unresolved. To identify both direct and indirect targets of Gαs-coupled V2 vasopressin receptor. RNA-seq (sequencing)–based PKA in mammalian cells, we used CRISPR-Cas9 genome editing transcriptomics and SILAC (stable isotope labeling of amino acids in to introduce frame-shifting indel mutations in both PKA catalytic cell culture)-based quantitative proteomics revealed a complete loss subunit genes (Prkaca and Prkacb), thereby eliminating PKA-Cα of expression of the water-channel gene Aqp2 in PKA knockout cells. and PKA-Cβ proteins. This was followed by use of quantitative SILAC-based quantitative phosphoproteomics identified 229 PKA (SILAC-based) phosphoproteomics to identify phosphorylation phosphorylation sites. -
Loss of EPAC2 Results in Altered Synaptic Composition of Dendritic
bioRxiv preprint doi: https://doi.org/10.1101/526772; this version posted January 21, 2019. 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 4.0 International license. Loss of EPAC2 results in altered synaptic composition of dendritic spines and excitatory and inhibitory balance Kelly A. Jonesa, Michiko Sumyiab,c, Kevin M. Woolfreya, Deepak P. Srivastavaa,b,c§, and Peter Penzesa,d§ aDepartment of Physiology, bDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry Psychology and Neuroscience, King's College London, 125 Coldharbour Lane, London, SE5 8NU, UK; cMRC Centre for Neurodevelopmental Disorders, King’s College London, London, UK; dDepartment of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine, 303 E. Chicago Avenue, Chicago, IL 60611 USA § = corresponding authors: Peter Penzes, Department of Physiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA, e-mail: p- [email protected]; or Deepak Srivastava, Department of Basic and Clinical Neuroscience, King's College London, London, SE5 9RT, UK, e-mail: [email protected] Keywords: EPAC2, dendritic spines, dendritic arborization, synaptic plasticity, autism spectrum disorders, excitatory and inhibitory balance bioRxiv preprint doi: https://doi.org/10.1101/526772; this version posted January 21, 2019. 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 4.0 International license. -
Epac2 (A-7): Sc-28326
SAN TA C RUZ BI OTEC HNOL OG Y, INC . Epac2 (A-7): sc-28326 BACKGROUND STORAGE 3',5' cyclic adenosine monophosphate (cAMP)-regulated guanine nucleotide Store at 4° C, **DO NOT FREEZE**. Stable for one year from the date of exchange factors Epac1 (cAMP-GEFI) and Epac2 (cAMP-GEFII) activate the shipment. Non-hazardous. No MSDS required. Ras family GTPases Rap 1 and Rap 2 by promoting GTP binding in a cAMP- dependent manner. Eukaryotic cAMP is a second messenger that induces DATA physiological responses such as gene expression, growth, differentiation, secretion and neurotransmission. Human EPAC2 contains at least 31 exons ABC and maps to chromosome 2q31.1. The 4.4-kb Epac2 transcript is prominent in brain and adrenal gland. Within the brain, expression is strong in cortex, 132K– occipital pole, frontal lobe, temporal lobe, amygdala, putamen, hippocampus < Epac2 and cerebellum. 90K– CHROMOSOMAL LOCATION Genetic locus: RAPGEF4 (human) mapping to 2q31.1; Rapgef4 (mouse) Epac2 (A-7): sc-28326. Western blot analysis of Epac2 Epac2 (A-7): sc-28326. Immunoperoxidase staining of mapping to 2 C3. expression in rat cerebellum (A), mouse brain (B) and formalin fixed, paraffin-embedded human skeletal rat brain (C) tissue extracts. muscle tissue showing cytoplasmic staining of myo- cytes. Kindly provided by The Swedish Human Protein SOURCE Atlas (HPA) program. Epac2 (A-7) is a mouse monoclonal antibody raised against amino acids 1-220 of Epac2 of human origin. SELECT PRODUCT CITATIONS 1. Wang, Z., et al. 2006. Rap1-mediated activation of extracellular signal- PRODUCT regulated kinases by cyclic AMP is dependent on the mode of Rap1 acti vation. -
1 1 2 3 Cell Type-Specific Transcriptomics of Hypothalamic
1 2 3 4 Cell type-specific transcriptomics of hypothalamic energy-sensing neuron responses to 5 weight-loss 6 7 Fredrick E. Henry1,†, Ken Sugino1,†, Adam Tozer2, Tiago Branco2, Scott M. Sternson1,* 8 9 1Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive, Ashburn, VA 10 20147, USA. 11 2Division of Neurobiology, Medical Research Council Laboratory of Molecular Biology, 12 Cambridge CB2 0QH, UK 13 14 †Co-first author 15 *Correspondence to: [email protected] 16 Phone: 571-209-4103 17 18 Authors have no competing interests 19 1 20 Abstract 21 Molecular and cellular processes in neurons are critical for sensing and responding to energy 22 deficit states, such as during weight-loss. AGRP neurons are a key hypothalamic population 23 that is activated during energy deficit and increases appetite and weight-gain. Cell type-specific 24 transcriptomics can be used to identify pathways that counteract weight-loss, and here we 25 report high-quality gene expression profiles of AGRP neurons from well-fed and food-deprived 26 young adult mice. For comparison, we also analyzed POMC neurons, an intermingled 27 population that suppresses appetite and body weight. We find that AGRP neurons are 28 considerably more sensitive to energy deficit than POMC neurons. Furthermore, we identify cell 29 type-specific pathways involving endoplasmic reticulum-stress, circadian signaling, ion 30 channels, neuropeptides, and receptors. Combined with methods to validate and manipulate 31 these pathways, this resource greatly expands molecular insight into neuronal regulation of 32 body weight, and may be useful for devising therapeutic strategies for obesity and eating 33 disorders. -
Itga4 Cldn16 Cldn9 Cldn15 Cldn22 Ocln Esam
Supplementary material J Med Genet Table S1. List of 263 genes included in the AGS-LEUK panel. Axonal Guidance Signaling genes as AGS and Leukocyte transvasation genes as LEUK. List of genes (AGS) List of genes (LEUK) ABLIM1 CLDN11 ACTR3 MMP14 ADAM11 MMP15 ADAM23 CTNNA1 ADAMTS1 ENSG00000130396 ADAMTS4 CLDN6 ADAMTS9 MMP24 ARHGEF15 ARHGAP12 ARHGEF6 DLC1 ARPC1B TIMP2 BDNF RAPGEF3 BMP1 F11R BMP4 CLDN23 BMP6 CLDN8 BMP7 JAM3 CXCL12 CLDN3 CXCR4 ARHGAP8 DPYSL5 ICAM1 EFNA1 MMP16 EFNA5 JAM2 ENPEP CLDN7 EPHA1 TIMP3 EPHA3 VCAM1 EPHA5 CLDN5 EPHA7 MSN EPHB1 NOX3 EPHB2 ACTC1 EPHB4 VAV2 FGFR2 CLDN10 FZD1 RAP1GAP FZD10 VAV3 FZD5 MAPK10 FZD6 CTNNA2 GAB1 CDH5 GLI1 PECAM1 GLI3 CTNND1 GNA14 ITGA4 GNAI1 CLDN16 GNAO1 CLDN9 GNAS CLDN15 GNB4 CLDN22 GNG11 OCLN GNG2 ESAM Gallego-Martinez A, et al. J Med Genet 2019; 0:1–7. doi: 10.1136/jmedgenet-2019-106159 Supplementary material J Med Genet GNG7 ACTB IGF1 CYBA IRS1 CTNNB1 IRS2 MMP9 ITGA3 MAPK14 ITGB1 MAPK11 LIMK1 MAPK12 LIMK2 MAPK13 LINGO1 PRKCB LRRC4C PXN MME BCAR1 MMP11 THY1 MMP2 ARHGAP5 MRAS MYL2 MYL9 MYLPF NFATC4 RAP1A NGFR RAP1B NOTUM VASP NRP1 ACTN4 NTN3 ACTN1 NTRK2 VCL NTRK3 RAPGEF4 PAK3 ITK PAK4 VAV1 PAPPA2 PDGFA PDGFC PIK3CB PIK3R1 PLCE1 PLCH1 PLCH2 PLXNA2 PLXNB1 PLXND1 PPP3CA PRKACB PRKAR2A PRKAR2B PRKCA PRKCZ PRKD3 ROBO2 SDC2 SDCBP Gallego-Martinez A, et al. J Med Genet 2019; 0:1–7. doi: 10.1136/jmedgenet-2019-106159 Supplementary material J Med Genet SEMA3B SEMA3C SEMA3E SEMA3F SEMA4F SEMA4G SEMA5A SEMA6B SEMA6D SEMA7A SHC1 SLIT2 SLIT3 STK36 TUBA4A TUBB2B TUBB4A TUBB4B TUBB6 UNC5C UNC5D ENSG00000165197 WIPF1 WNT3 WNT5A WNT7A WNT7B NTNG1 NTNG2 LRRC4 NTN4 TRPC1 TRPC3 TRPC6 PPP3CB PPP3CC PPP3R1 NFATC2 NFATC3 PTK2 FYN RAC1 CDC42 ABLIM2 NCK1 PAK1 PAK2 Gallego-Martinez A, et al.