Smoothelin (SMTN) (NM 134269) Human Recombinant Protein Product Data

Total Page：16

File Type：pdf, Size：1020Kb

Smoothelin (SMTN) (NM 134269) Human Recombinant Protein Product Data

OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TP302191 Smoothelin (SMTN) (NM_134269) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Recombinant protein of human smoothelin (SMTN), transcript variant 2 Species: Human Expression Host: HEK293T Tag: C-Myc/DDK Predicted MW: 98.7 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25 mM Tris.HCl, pH 7.3, 100 mM glycine, 10% glycerol Preparation: Recombinant protein was captured through anti-DDK affinity column followed by conventional chromatography steps. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_599031 Locus ID: 6525 UniProt ID: P53814 RefSeq Size: 3332 Cytogenetics: 22q12.2 RefSeq ORF: 2745 Summary: This gene encodes a structural protein that is found exclusively in contractile smooth muscle cells. It associates with stress fibers and constitutes part of the cytoskeleton. This gene is localized to chromosome 22q12.3, distal to the TUPLE1 locus and outside the DiGeorge syndrome deletion. Alternative splicing of this gene results in multiple transcript variants encoding distinct isoforms. [provided by RefSeq, May 2011] This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 Smoothelin (SMTN) (NM_134269) Human Recombinant Protein – TP302191 Product images: Coomassie blue staining of purified SMTN protein (Cat# TP302191). The protein was produced from HEK293T cells transfected with SMTN cDNA clone (Cat# [RC202191]) using MegaTran 2.0 (Cat# [TT210002]). This product is to be used for laboratory only. Not for diagnostic or therapeutic use. ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 2 / 2.

Copy Link

Recommended publications

Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins
International Journal of Molecular Sciences Article Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins M. Quadir Siddiqui 1,† , Maulik D. Badmalia 1,† and Trushar R. Patel 1,2,3,* 1 Alberta RNA Research and Training Institute, Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada; [email protected] (M.Q.S.); [email protected] (M.D.B.) 2 Department of Microbiology, Immunology and Infectious Disease, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive, Calgary, AB T2N 4N1, Canada 3 Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB T6G 2E1, Canada * Correspondence: [email protected] † These authors contributed equally to the work. Abstract: Members of the human Zyxin family are LIM domain-containing proteins that perform critical cellular functions and are indispensable for cellular integrity. Despite their importance, not much is known about their structure, functions, interactions and dynamics. To provide insights into these, we used a set of in-silico tools and databases and analyzed their amino acid sequence, phylogeny, post-translational modiﬁcations, structure-dynamics, molecular interactions, and func- tions. Our analysis revealed that zyxin members are ohnologs. Presence of a conserved nuclear export signal composed of LxxLxL/LxxxLxL consensus sequence, as well as a possible nuclear localization signal, suggesting that Zyxin family members may have nuclear and cytoplasmic roles. The molecular modeling and structural analysis indicated that Zyxin family LIM domains share Citation: Siddiqui, M.Q.; Badmalia, similarities with transcriptional regulators and have positively charged electrostatic patches, which M.D.; Patel, T.R.
[Show full text]
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing
[Show full text]
The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF.
[Show full text]
A Systems Genetics Approach to Revealing the Pdgfb Molecular Network of the Retina
Molecular Vision 2020; 26:459-471 <http://www.molvis.org/molvis/v26/459> © 2020 Molecular Vision Received 19 November 2019 | Accepted 17 June 2020 | Published 19 June 2020 A systems genetics approach to revealing the Pdgfb molecular network of the retina Shasha Li,1,2 Fuyi Xu,2 Lin Liu,1 Rong Ju,3 Jonas Bergquist,1,4 Qing Yin Zheng,5,6 Jia Mi,1 Lu Lu,2 Xuri Li,3 Geng Tian1 (The first two authors contributed equally to this work.) 1Medicine and Pharmacy Research Center, Binzhou Medical University, Yantai, Shandong, China; 2Department of Genetics, Genomics and informatics, University of Tennessee Health Science Center, Memphis, TN; 3State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, Guangdong, China; 4Analytical Chemistry and Neurochemistry, Department of Chemistry-BMC, Uppsala University, Uppsala, Sweden; 5Transformative Otology and Neuroscience Center, Case Western Reserve University School of Medicine, Cleveland, OH; 6Departments of Otolaryngology, Case Western Reserve University School of Medicine, Cleveland, OH. Purpose: Platelet-derived growth factor (PDGF) signaling is well known to be involved in vascular retinopathies. Among the PDGF family, the subunit B (PDGFB) protein is considered a promising therapeutic target. This study aimed to identify the genes and potential pathways through which PDGFB affects retinal phenotypes by using a systems genetics approach. Methods: Gene expression data had been previously generated in a laboratory for the retinas of 75 C57BL/6J(B6) X DBA/2J (BXD) recombinant inbred (RI) strains. Using this data, the genetic correlation method was used to identify genes correlated to Pdgfb. A correlation between intraocular pressure (IOP) and Pdgfb was calculated based on the Pearson correlation coefficient.
[Show full text]
Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo
[Show full text]
Chemical Proteomics Reveal CD147 As a Functional Target of Pseudolaric
Electronic Supplementary Material (ESI) for ChemComm. This journal is © The Royal Society of Chemistry 2017 Electronic Supplementary Material (ESI) for Chemical proteomics reveal CD147 as a functional target of pseudolaric acid B in human cancer cells Yiqing Zhou,a Zhengao Di,a Xiaoming Li,bc Yuanhong Shan,d Weichao Li,a Haibing Zhang,b and Youli Xiao*acd aCAS Key Laboratory of Synthetic Biology, CAS Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China bInstitute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China cUniversity of Chinese Academy of Sciences, Beijing, 100039, China dCore Facility Centre of the Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200032, China 1 Table of Contents 1. Chemistry Pages 3-5 1.1 Synthesis of PAB-Dayne Page 3 Fig. S1 1H-NMR and 13C-NMR data of PAB-Dayne Page 3 1.2 Synthesis of Dead-Dayne Page 4 Fig. S2 1H-NMR and 13C-NMR data of Dead-Dayne Page 5 2. Biological experiments Pages 6-15 2.1 Labeling of purified porcine brain tubulin Page 6 Fig. S3 Dose-dependent labeling of tubulin by PAB-Dayne. Page 6 2.2 Cell proliferation assay Page 6 Table S1 IC50 values of PAB and probes towards HeLa cells. Page 7 2.3 Gel-based AfBPP in HeLa cells Page 7 Fig. S4 Full imaging of gels in Figure 2A. Page 7 2.4 Microscopy Page 7 2.5 Mass spectrometry-based AfBPP in HeLa cells Page 8 2.6 Target validation by pull-down and western blot Page 9 2.7 Labeling of recombinant CD147/CD98 proteins Page 9 2.8 Disruption of CD147 oligomerization by PAB Page 10 2.9 Binding site identification Page 10 Fig.
[Show full text]
UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Cardiac Stretch-Induced Transcriptomic Changes are Axis-Dependent Permalink https://escholarship.org/uc/item/7m04f0b0 Author Buchholz, Kyle Stephen Publication Date 2016 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Cardiac Stretch-Induced Transcriptomic Changes are Axis-Dependent A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioengineering by Kyle Stephen Buchholz Committee in Charge: Professor Jeffrey Omens, Chair Professor Andrew McCulloch, Co-Chair Professor Ju Chen Professor Karen Christman Professor Robert Ross Professor Alexander Zambon 2016 Copyright Kyle Stephen Buchholz, 2016 All rights reserved Signature Page The Dissertation of Kyle Stephen Buchholz is approved and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California, San Diego 2016 iii Dedication To my beautiful wife, Rhia. iv Table of Contents Signature Page ................................................................................................................... iii Dedication .......................................................................................................................... iv Table of Contents ................................................................................................................ v List of Figures ...................................................................................................................
[Show full text]
Mapping and Functional Characterization of the Murine Smoothelin-Like 1 Promoter
Ulke-Lemée et al. BMC Molecular Biology 2011, 12:10 http://www.biomedcentral.com/1471-2199/12/10 RESEARCHARTICLE Open Access Mapping and functional characterization of the murine Smoothelin-like 1 promoter Annegret Ulke-Lemée, Sara R Turner, Saad H Mughal, Meredith A Borman, Robert J Winkfein, Justin A MacDonald* Abstract Background: Smoothelin-like 1 (SMTNL1, also known as CHASM) plays a role in promoting relaxation as well as adaptive responses to exercise, pregnancy and sexual development in smooth and skeletal muscle. Investigations of Smtnl1 transcriptional regulation are still lacking. Thus, in this study, we identify and characterize key regulatory elements of the mouse Smtnl1 gene. Results: We mapped the key regulatory elements of the Smtnl1 promoter region: the transcriptional start site (TSS) lays -44 bp from the translational start codon and a TATA-box motif at -75 bp was conserved amongst all mammalian Smtnl1 promoters investigated. The Smtnl1 proximal promoter enhances expression up to 8-fold in smooth muscle cells and a second activating region lays 500 bp further upstream. Two repressing motifs were present (-118 to -218 bp and -1637 to -1869 bp). The proximal promoter is highly conserved in mammals and contains a mirror repeat sequence. In silico analysis suggests many transcription factors (notably MyoD) could potentially bind within the Smtnl1 proximal promoter sequence. Conclusion: Smtnl1 transcript was identified in all smooth muscle tissues examined to date, albeit at much lower levels than found in skeletal muscle. It is unlikely that multiple SMTNL1 isoforms exist since a single Smtnl1 transcription start site was identified in both skeletal and intestinal smooth muscle.
[Show full text]
Anti-Smoothelin Antibody (ARG59311)
Product datasheet [email protected] ARG59311 Package: 50 μg anti-Smoothelin antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes Smoothelin Tested Reactivity Hu, Ms Tested Application ICC/IF, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name Smoothelin Species Human Immunogen Synthetic peptide corresponding to a sequence of Human Smoothelin. (QELEREEEALASKRFRAERQDNKENWLHSQQREAEQR) Conjugation Un-conjugated Alternate Names SMSMO Application Instructions Application table Application Dilution ICC/IF 1:200 - 1:1000 WB 0.1 - 0.5 µg/ml Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Properties Form Liquid Purification Affinity purification with immunogen. Buffer 0.9% NaCl, 0.2% Na2HPO4, 0.05% Sodium azide and 4% Trehalose. Preservative 0.05% Sodium azide Stabilizer 4% Trehalose Concentration 0.5 - 1 mg/ml 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 or below. 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 SMTN Gene Full Name smoothelin Background This gene encodes a structural protein that is found exclusively in contractile smooth muscle cells. It associates with stress fibers and constitutes part of the cytoskeleton. This gene is localized to chromosome 22q12.3, distal to the TUPLE1 locus and outside the DiGeorge syndrome deletion.
[Show full text]
Integrated Bioinformatics Analysis Reveals Novel Key Biomarkers and Potential Candidate Small Molecule Drugs in Gestational Diabetes Mellitus
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.09.434569; this version posted March 10, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Integrated bioinformatics analysis reveals novel key biomarkers and potential candidate small molecule drugs in gestational diabetes mellitus Basavaraj Vastrad1, Chanabasayya Vastrad*2, Anandkumar Tengli3 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karnataka, India. 3. Department of Pharmaceutical Chemistry, JSS College of Pharmacy, Mysuru and JSS Academy of Higher Education & Research, Mysuru, Karnataka, 570015, India * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2021.03.09.434569; this version posted March 10, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Gestational diabetes mellitus (GDM) is one of the metabolic diseases during pregnancy. The identification of the central molecular mechanisms liable for the disease pathogenesis might lead to the advancement of new therapeutic options. The current investigation aimed to identify central differentially expressed genes (DEGs) in GDM. The transcription profiling by array data (E-MTAB-6418) was obtained from the ArrayExpress database. The DEGs between GDM samples and non GDM samples were analyzed with limma package. Gene ontology (GO) and REACTOME enrichment analysis were performed using ToppGene. Then we constructed the protein-protein interaction (PPI) network of DEGs by the Search Tool for the Retrieval of Interacting Genes database (STRING) and module analysis was performed.
[Show full text]
A CRISPR Screen to Identify Combination Therapies of Cytotoxic
CRISPRi Screens to Identify Combination Therapies for the Improved Treatment of Ovarian Cancer By Erika Daphne Handly B.S. Chemical Engineering Brigham Young University, 2014 Submitted to the Department of Biological Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biological Engineering at the MASSACHUSETTS INSTITUTE OF TECHNOLOGY February 2021 © 2020 Massachusetts Institute of Technology. All rights reserved. Signature of author………………………………………………………………………………… Erika Handly Department of Biological Engineering February 2021 Certified by………………………………………………………………………………………… Michael Yaffe Director MIT Center for Precision Cancer Medicine Department of Biological Engineering and Biology Thesis Supervisor Accepted by………………………………………………………………………………………... Katharina Ribbeck Professor of Biological Engineering Chair of Graduate Program, Department of Biological Engineering Thesis Committee members Michael T. Hemann, Ph.D. Associate Professor of Biology Massachusetts Institute of Technology Douglas A. Lauffenburger, Ph.D. (Chair) Ford Professor of Biological Engineering, Chemical Engineering, and Biology Massachusetts Institute of Technology Michael B. Yaffe, M.D., Ph.D. (Thesis Supervisor) David H. Koch Professor of Science Prof. of Biology and Biological Engineering Massachusetts Institute of Technology 2 CRISPRi Screens to Identify Combination Therapies for the Improved Treatment of Ovarian Cancer By Erika Daphne Handly B.S. Chemical Engineering Brigham Young University, 2014 Submitted to the Department of Biological Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biological Engineering ABSTRACT Ovarian cancer is the fifth leading cause of cancer death for women in the United States, with only modest improvements in patient survival in the past few decades. Standard-of-care consists of surgical debulking followed by a combination of platinum and taxane agents, but relapse and resistance frequently occur.
[Show full text]
Identifying Dynamic Protein and RNA Proximity Interaction Networks of Actinin Reveals RNA
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.18.994004; this version posted March 19, 2020. 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 underConfidential aCC-BY-NC-ND Manuscript 4.0 International license. 1 Title: 2 Identifying dynamic protein and RNA proximity interaction networks of actinin reveals RNA- 3 binding and metabolic regulatory mechanisms 4 5 Feria A. Ladha M.S.1, Ketan Thakar Ph.D.2*, Anthony M. Pettinato B.S.1*, Nicholas Legere 2 2 1 1 2 6 B.S. , Rachel Cohn M.S. , Robert Romano B.S. , Emily Meredith B.S. , Yu-Sheng Chen Ph.D. , 7 and J. Travis Hinson M.D.1,2,3 8 Affiliations: 9 1University of Connecticut Health Center, Farmington, CT 06030, USA 10 2The Jackson Laboratory for Genomic Medicine, Farmington, CT 06032, USA 11 3Cardiology Center, UConn Health, Farmington, CT 06030, USA 12 *These authors contributed equally 13 14 Lead Contact: Correspondence: [email protected] 15 16 17 18 19 20 21 22 2 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.18.994004; this version posted March 19, 2020. 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 underConfidential aCC-BY-NC-ND Manuscript 4.0 International license. 1 Abstract 2 Actinins are actin cross-linkers that are expressed in nearly all cells and harbor mutations in 3 heritable diseases.
[Show full text]