TGF-Β Modulates Cell Fate in Human ES Cell-Derived Foregut Endoderm by Inhibiting Multiple Endogenous Signaling Pathways
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The Zinc-Finger Protein CNBP Is Required for Forebrain Formation In
Development 130, 1367-1379 1367 © 2003 The Company of Biologists Ltd doi:10.1242/dev.00349 The zinc-finger protein CNBP is required for forebrain formation in the mouse Wei Chen1,2, Yuqiong Liang1, Wenjie Deng1, Ken Shimizu1, Amir M. Ashique1,2, En Li3 and Yi-Ping Li1,2,* 1Department of Cytokine Biology, The Forsyth Institute, Boston, MA 02115, USA 2Harvard-Forsyth Department of Oral Biology, Harvard School of Dental Medicine, Boston, MA 02115, USA 3Cardiovascular Research Center, Massachusetts General Hospital, Department of Medicine, Harvard Medical School, Charlestown, MA 02129, USA *Author for correspondence (e-mail: [email protected]) Accepted 19 December 2002 SUMMARY Mouse mutants have allowed us to gain significant insight (AME), headfolds and forebrain. In Cnbp–/– embryos, the into axis development. However, much remains to be visceral endoderm remains in the distal tip of the conceptus learned about the cellular and molecular basis of early and the ADE fails to form, whereas the node and notochord forebrain patterning. We describe a lethal mutation mouse form normally. A substantial reduction in cell proliferation strain generated using promoter-trap mutagenesis. The was observed in the anterior regions of Cnbp–/– embryos at mutants exhibit severe forebrain truncation in homozygous gastrulation and neural-fold stages. In these regions, Myc mouse embryos and various craniofacial defects in expression was absent, indicating CNBP targets Myc in heterozygotes. We show that the defects are caused by rostral head formation. Our findings demonstrate that disruption of the gene encoding cellular nucleic acid Cnbp is essential for the forebrain induction and binding protein (CNBP); Cnbp transgenic mice were able specification. -
In-Depth Characterization of the Wnt-Signaling/Β-Catenin Pathway In
Götzel et al. BMC Gastroenterology (2019) 19:38 https://doi.org/10.1186/s12876-019-0957-5 RESEARCH ARTICLE Open Access In-depth characterization of the Wnt- signaling/β-catenin pathway in an in vitro model of Barrett’s sequence Katharina Götzel1, Olga Chemnitzer1, Luisa Maurer1, Arne Dietrich1,2, Uwe Eichfeld1, Orestis Lyros1, Yusef Moulla1, Stefan Niebisch1, Matthias Mehdorn1, Boris Jansen-Winkeln1, Michael Vieth3, Albrecht Hoffmeister4, Ines Gockel1 and René Thieme1* Abstract Background: An altered Wnt-signaling activation has been reported during Barrett’s esophagus progression, but with rarely detected mutations in APC and β-catenin (CTNNB1) genes. Methods: In this study, a robust in-depth expression pattern analysis of frizzled receptors, co-receptors, the Wnt- ligands Wnt3a and Wnt5a, the Wnt-signaling downstream targets Axin2, and CyclinD1, as well as the activation of the intracellular signaling kinases Akt and GSK3β was performed in an in vitro cell culture model of Barrett’s esophagus. Representing the Barrett’s sequence, we used normal esophageal squamous epithelium (EPC-1, EPC-2), metaplasia (CP-A) and dysplasia (CP-B) to esophageal adenocarcinoma (EAC) cell lines (OE33, OE19) and primary specimens of squamous epithelium, metaplasia and EAC. Results: A loss of Wnt3a expression was observed beginning from the metaplastic cell line CP-A towards dysplasia (CP-B) and EAC (OE33 and OE19), confirmed by a lower staining index of WNT3A in Barrett’s metaplasia and EAC, than in squamous epithelium specimens. Frizzled 1–10 expression analysis revealed a distinct expression pattern, showing the highest expression for Fzd2, Fzd3, Fzd4, Fzd5, Fzd7, and the co-receptor LRP5/6 in EAC cells, while Fzd3 and Fzd7 were rarely expressed in primary specimens from squamous epithelium. -
Identification of Candidate Genes and Pathways Associated with Obesity
animals Article Identification of Candidate Genes and Pathways Associated with Obesity-Related Traits in Canines via Gene-Set Enrichment and Pathway-Based GWAS Analysis Sunirmal Sheet y, Srikanth Krishnamoorthy y , Jihye Cha, Soyoung Choi and Bong-Hwan Choi * Animal Genome & Bioinformatics, National Institute of Animal Science, RDA, Wanju 55365, Korea; [email protected] (S.S.); [email protected] (S.K.); [email protected] (J.C.); [email protected] (S.C.) * Correspondence: [email protected]; Tel.: +82-10-8143-5164 These authors contributed equally. y Received: 10 October 2020; Accepted: 6 November 2020; Published: 9 November 2020 Simple Summary: Obesity is a serious health issue and is increasing at an alarming rate in several dog breeds, but there is limited information on the genetic mechanism underlying it. Moreover, there have been very few reports on genetic markers associated with canine obesity. These studies were limited to the use of a single breed in the association study. In this study, we have performed a GWAS and supplemented it with gene-set enrichment and pathway-based analyses to identify causative loci and genes associated with canine obesity in 18 different dog breeds. From the GWAS, the significant markers associated with obesity-related traits including body weight (CACNA1B, C22orf39, U6, MYH14, PTPN2, SEH1L) and blood sugar (PRSS55, GRIK2), were identified. Furthermore, the gene-set enrichment and pathway-based analysis (GESA) highlighted five enriched pathways (Wnt signaling pathway, adherens junction, pathways in cancer, axon guidance, and insulin secretion) and seven GO terms (fat cell differentiation, calcium ion binding, cytoplasm, nucleus, phospholipid transport, central nervous system development, and cell surface) which were found to be shared among all the traits. -
G Protein-Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. -
Multi-Functionality of Proteins Involved in GPCR and G Protein Signaling: Making Sense of Structure–Function Continuum with In
Cellular and Molecular Life Sciences (2019) 76:4461–4492 https://doi.org/10.1007/s00018-019-03276-1 Cellular andMolecular Life Sciences REVIEW Multi‑functionality of proteins involved in GPCR and G protein signaling: making sense of structure–function continuum with intrinsic disorder‑based proteoforms Alexander V. Fonin1 · April L. Darling2 · Irina M. Kuznetsova1 · Konstantin K. Turoverov1,3 · Vladimir N. Uversky2,4 Received: 5 August 2019 / Revised: 5 August 2019 / Accepted: 12 August 2019 / Published online: 19 August 2019 © Springer Nature Switzerland AG 2019 Abstract GPCR–G protein signaling system recognizes a multitude of extracellular ligands and triggers a variety of intracellular signal- ing cascades in response. In humans, this system includes more than 800 various GPCRs and a large set of heterotrimeric G proteins. Complexity of this system goes far beyond a multitude of pair-wise ligand–GPCR and GPCR–G protein interactions. In fact, one GPCR can recognize more than one extracellular signal and interact with more than one G protein. Furthermore, one ligand can activate more than one GPCR, and multiple GPCRs can couple to the same G protein. This defnes an intricate multifunctionality of this important signaling system. Here, we show that the multifunctionality of GPCR–G protein system represents an illustrative example of the protein structure–function continuum, where structures of the involved proteins represent a complex mosaic of diferently folded regions (foldons, non-foldons, unfoldons, semi-foldons, and inducible foldons). The functionality of resulting highly dynamic conformational ensembles is fne-tuned by various post-translational modifcations and alternative splicing, and such ensembles can undergo dramatic changes at interaction with their specifc partners. -
G Protein‐Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: G protein-coupled receptors. British Journal of Pharmacology (2019) 176, S21–S141 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: G protein-coupled receptors Stephen PH Alexander1 , Arthur Christopoulos2 , Anthony P Davenport3 , Eamonn Kelly4, Alistair Mathie5 , John A Peters6 , Emma L Veale5 ,JaneFArmstrong7 , Elena Faccenda7 ,SimonDHarding7 ,AdamJPawson7 , Joanna L Sharman7 , Christopher Southan7 , Jamie A Davies7 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria 3052, Australia 3Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK 4School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 5Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 6Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 7Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide represents approximately 400 pages, the material presented is substantially reduced compared to information and links presented on the website. -
Wnt/Rspondin/Β-Catenin Signals Control Axonal Sorting and Lineage Progression in Schwann Cell Development
Wnt/Rspondin/β-catenin signals control axonal sorting and lineage progression in Schwann cell development Tamara Grigoryana, Simone Steina, Jingjing Qia, Hagen Wendeb, Alistair N. Garrattc, Klaus-Armin Naved, Carmen Birchmeierb, and Walter Birchmeiera,1 aCancer Research Program and bNeuroscience Program, Max Delbrück Center for Molecular Medicine, 13125 Berlin, Germany; cCenter for Anatomy, Charité University Hospital, 10117 Berlin, Germany; and dDepartment of Neurogenetics, Max Planck Institute for Experimental Medicine, 37075 Göttingen, Germany Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved September 26, 2013 (received for review June 2, 2013) During late Schwann cell development, immature Schwann cells organs (24–27). A role of Rspondins and Lgr4–6 receptors in SC segregate large axons from bundles, a process called “axonal ra- development has not been studied. dial sorting.” Here we demonstrate that canonical Wnt signals play Here we define a temporal window of Wnt/β-catenin activity a critical role in radial sorting and assign a role to Wnt and Rspon- and its role in SC lineage progression using mouse genetics and din ligands in this process. Mice carrying β-catenin loss-of-function cell culture techniques. Conditional loss-of-function (LOF) and mutations show a delay in axonal sorting; conversely, gain-of-function gain-of-function (GOF) mutations of β-catenin in mouse SCs mutations result in accelerated sorting. Sorting deficits are accom- produce converse phenotypes: a delay and an acceleration of panied by abnormal process extension, differentiation, and aber- axonal sorting, respectively. Using cultured primary SCs and rant cell cycle exit of the Schwann cells. -
Comparative Transcriptomics Reveals Similarities and Differences
Seifert et al. BMC Cancer (2015) 15:952 DOI 10.1186/s12885-015-1939-9 RESEARCH ARTICLE Open Access Comparative transcriptomics reveals similarities and differences between astrocytoma grades Michael Seifert1,2,5*, Martin Garbe1, Betty Friedrich1,3, Michel Mittelbronn4 and Barbara Klink5,6,7 Abstract Background: Astrocytomas are the most common primary brain tumors distinguished into four histological grades. Molecular analyses of individual astrocytoma grades have revealed detailed insights into genetic, transcriptomic and epigenetic alterations. This provides an excellent basis to identify similarities and differences between astrocytoma grades. Methods: We utilized public omics data of all four astrocytoma grades focusing on pilocytic astrocytomas (PA I), diffuse astrocytomas (AS II), anaplastic astrocytomas (AS III) and glioblastomas (GBM IV) to identify similarities and differences using well-established bioinformatics and systems biology approaches. We further validated the expression and localization of Ang2 involved in angiogenesis using immunohistochemistry. Results: Our analyses show similarities and differences between astrocytoma grades at the level of individual genes, signaling pathways and regulatory networks. We identified many differentially expressed genes that were either exclusively observed in a specific astrocytoma grade or commonly affected in specific subsets of astrocytoma grades in comparison to normal brain. Further, the number of differentially expressed genes generally increased with the astrocytoma grade with one major exception. The cytokine receptor pathway showed nearly the same number of differentially expressed genes in PA I and GBM IV and was further characterized by a significant overlap of commonly altered genes and an exclusive enrichment of overexpressed cancer genes in GBM IV. Additional analyses revealed a strong exclusive overexpression of CX3CL1 (fractalkine) and its receptor CX3CR1 in PA I possibly contributing to the absence of invasive growth. -
The Role of Epigenomics in Osteoporosis and Osteoporotic Vertebral Fracture
International Journal of Molecular Sciences Review The Role of Epigenomics in Osteoporosis and Osteoporotic Vertebral Fracture Kyoung-Tae Kim 1,2 , Young-Seok Lee 1,3 and Inbo Han 4,* 1 Department of Neurosurgery, School of Medicine, Kyungpook National University, Daegu 41944, Korea; [email protected] (K.-T.K.); [email protected] (Y.-S.L.) 2 Department of Neurosurgery, Kyungpook National University Hospital, Daegu 41944, Korea 3 Department of Neurosurgery, Kyungpook National University Chilgok Hospital, Daegu 41944, Korea 4 Department of Neurosurgery, CHA University School of medicine, CHA Bundang Medical Center, Seongnam-si, Gyeonggi-do 13496, Korea * Correspondence: [email protected]; Tel.: +82-31-780-1924; Fax: +82-31-780-5269 Received: 6 November 2020; Accepted: 8 December 2020; Published: 11 December 2020 Abstract: Osteoporosis is a complex multifactorial condition of the musculoskeletal system. Osteoporosis and osteoporotic vertebral fracture (OVF) are associated with high medical costs and can lead to poor quality of life. Genetic factors are important in determining bone mass and structure, as well as any predisposition for bone degradation and OVF. However, genetic factors are not enough to explain osteoporosis development and OVF occurrence. Epigenetics describes a mechanism for controlling gene expression and cellular processes without altering DNA sequences. The main mechanisms in epigenetics are DNA methylation, histone modifications, and non-coding RNAs (ncRNAs). Recently, alterations in epigenetic mechanisms and their activity have been associated with osteoporosis and OVF. Here, we review emerging evidence that epigenetics contributes to the machinery that can alter DNA structure, gene expression, and cellular differentiation during physiological and pathological bone remodeling. -
Genetic Identification of Brain Cell Types Underlying Schizophrenia
bioRxiv preprint doi: https://doi.org/10.1101/145466; this version posted June 2, 2017. 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. Genetic identification of brain cell types underlying schizophrenia Nathan G. Skene 1 †, Julien Bryois 2 †, Trygve E. Bakken3, Gerome Breen 4,5, James J Crowley 6, Héléna A Gaspar 4,5, Paola Giusti-Rodriguez 6, Rebecca D Hodge3, Jeremy A. Miller 3, Ana Muñoz-Manchado 1, Michael C O’Donovan 7, Michael J Owen 7, Antonio F Pardiñas 7, Jesper Ryge 8, James T R Walters 8, Sten Linnarsson 1, Ed S. Lein 3, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Patrick F Sullivan 2,6 *, Jens Hjerling- Leffler 1 * Affiliations: 1 Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17177 Stockholm, Sweden. 2 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-17177 Stockholm, Sweden. 3 Allen Institute for Brain Science, Seattle, Washington 98109, USA. 4 King’s College London, Institute of Psychiatry, Psychology and Neuroscience, MRC Social, Genetic and Developmental Psychiatry (SGDP) Centre, London, UK. 5 National Institute for Health Research Biomedical Research Centre, South London and Maudsley National Health Service Trust, London, UK. 6 Departments of Genetics, University of North Carolina, Chapel Hill, NC, 27599-7264, USA. 7 MRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, School of Medicine, Cardiff University, Cardiff, UK. -
FZD2 Inhibits the Cell Growth and Migration of Salivary Adenoid Cystic Carcinomas
1006 ONCOLOGY REPORTS 35: 1006-1012, 2016 FZD2 inhibits the cell growth and migration of salivary adenoid cystic carcinomas LIN-CAN DING1*, XIAO-YU HUANG1*, FEI-FEI ZHENG1*, JIAN XIE1, LIN SHE1, YAN FENG1, BO-HUA SU1, DA-LI ZHENG2 and YOU-GUANG LU1 1Department of Preventive Dentistry, Affiliated Stomatological Hospital, Fujian Medical University, Fuzhou 350002; 2Key Laboratory of Ministry of Education for Gastrointestinal Cancer, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350108, P.R. China Received November 14, 2014; Accepted October 24, 2015 DOI: 10.3892/or.2015.3811 Abstract. Several studies have reported that FZD2 regulates Introduction tumor biology in a complex manner. The aim of the present study was to identify the role of FZD2 in the cell growth and Salivary adenoid cystic carcinomas (SACCs) are malignant metastasis of salivary adenoid cystic carcinomas (SACCs). tumors of the head and neck and are characterized by unique The expression of FZD2 in ACC-83 and ACC-LM cells were clinical features and behaviors. SACCs occur in the major and measured with real-time PCR. Immunohistochemical staining minor salivary glands and disperse to the oral and oropharyn- was used to detect the expression of FZD2 in clinical SACC geal mucosa, tracheobronchial tree and the esophagus. The samples with or without metastasis. Cell proliferation and biological properties of this dispersal include slow and indolent Transwell assays were performed to explore the effects of FZD2 growth, a low probability of regional nodal metastasis, a high on cell growth and migration following the silencing of FZD2 propensity for perineural migration and distant metastasis, with small interference RNAs and the overexpression of FZD2 and a high incidence of recurrence. -
Anti-LHX1 / LIM1 Antibody (ARG42944)
Product datasheet [email protected] ARG42944 Package: 100 μl anti-LHX1 / LIM1 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes LHX1 / LIM1 Tested Reactivity Hu, Ms, Rat Tested Application WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name LHX1 / LIM1 Antigen Species Human Immunogen Recombinant fusion protein corresponding to aa. 120-180 of Human LHX1 / LIM1 (NP_005559.2). Conjugation Un-conjugated Alternate Names LIM/homeobox protein Lhx1; Homeobox protein Lim-1; hLim-1; LIM1; LIM-1; LIM homeobox protein 1 Application Instructions Application table Application Dilution WB 1:500 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Rat testis Calculated Mw 45 kDa Observed Size ~ 45 kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. www.arigobio.com 1/2 Bioinformation Gene Symbol LHX1 Gene Full Name LIM homeobox 1 Background This gene encodes a member of a large protein family which contains the LIM domain, a unique cysteine-rich zinc-binding domain. The encoded protein is a transcription factor important for the development of the renal and urogenital systems.