Zebrafish Relatively Relaxed Mutants Have a Ryanodine Receptor Defect
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Genetic Associations Between Voltage-Gated Calcium Channels (Vgccs) and Autism Spectrum Disorder (ASD)
Liao and Li Molecular Brain (2020) 13:96 https://doi.org/10.1186/s13041-020-00634-0 REVIEW Open Access Genetic associations between voltage- gated calcium channels and autism spectrum disorder: a systematic review Xiaoli Liao1,2 and Yamin Li2* Abstract Objectives: The present review systematically summarized existing publications regarding the genetic associations between voltage-gated calcium channels (VGCCs) and autism spectrum disorder (ASD). Methods: A comprehensive literature search was conducted to gather pertinent studies in three online databases. Two authors independently screened the included records based on the selection criteria. Discrepancies in each step were settled through discussions. Results: From 1163 resulting searched articles, 28 were identified for inclusion. The most prominent among the VGCCs variants found in ASD were those falling within loci encoding the α subunits, CACNA1A, CACNA1B, CACN A1C, CACNA1D, CACNA1E, CACNA1F, CACNA1G, CACNA1H, and CACNA1I as well as those of their accessory subunits CACNB2, CACNA2D3, and CACNA2D4. Two signaling pathways, the IP3-Ca2+ pathway and the MAPK pathway, were identified as scaffolds that united genetic lesions into a consensus etiology of ASD. Conclusions: Evidence generated from this review supports the role of VGCC genetic variants in the pathogenesis of ASD, making it a promising therapeutic target. Future research should focus on the specific mechanism that connects VGCC genetic variants to the complex ASD phenotype. Keywords: Autism spectrum disorder, Voltage-gated calcium -
The Mineralocorticoid Receptor Leads to Increased Expression of EGFR
www.nature.com/scientificreports OPEN The mineralocorticoid receptor leads to increased expression of EGFR and T‑type calcium channels that support HL‑1 cell hypertrophy Katharina Stroedecke1,2, Sandra Meinel1,2, Fritz Markwardt1, Udo Kloeckner1, Nicole Straetz1, Katja Quarch1, Barbara Schreier1, Michael Kopf1, Michael Gekle1 & Claudia Grossmann1* The EGF receptor (EGFR) has been extensively studied in tumor biology and recently a role in cardiovascular pathophysiology was suggested. The mineralocorticoid receptor (MR) is an important efector of the renin–angiotensin–aldosterone‑system and elicits pathophysiological efects in the cardiovascular system; however, the underlying molecular mechanisms are unclear. Our aim was to investigate the importance of EGFR for MR‑mediated cardiovascular pathophysiology because MR is known to induce EGFR expression. We identifed a SNP within the EGFR promoter that modulates MR‑induced EGFR expression. In RNA‑sequencing and qPCR experiments in heart tissue of EGFR KO and WT mice, changes in EGFR abundance led to diferential expression of cardiac ion channels, especially of the T‑type calcium channel CACNA1H. Accordingly, CACNA1H expression was increased in WT mice after in vivo MR activation by aldosterone but not in respective EGFR KO mice. Aldosterone‑ and EGF‑responsiveness of CACNA1H expression was confrmed in HL‑1 cells by Western blot and by measuring peak current density of T‑type calcium channels. Aldosterone‑induced CACNA1H protein expression could be abrogated by the EGFR inhibitor AG1478. Furthermore, inhibition of T‑type calcium channels with mibefradil or ML218 reduced diameter, volume and BNP levels in HL‑1 cells. In conclusion the MR regulates EGFR and CACNA1H expression, which has an efect on HL‑1 cell diameter, and the extent of this regulation seems to depend on the SNP‑216 (G/T) genotype. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
L-Type Cav 1.2 Calcium Channel-Α-1C Regulates Response to Rituximab in Diffuse Large B-Cell Lymphoma
Published OnlineFirst March 1, 2019; DOI: 10.1158/1078-0432.CCR-18-2146 Translational Cancer Mechanisms and Therapy Clinical Cancer Research L-Type Cav 1.2 Calcium Channel-a-1C Regulates Response to Rituximab in Diffuse Large B-Cell Lymphoma Jiu-Yang Zhang1, Pei-Pei Zhang1,Wen-Ping Zhou1, Jia-Yu Yu2, Zhi-Hua Yao1, Jun-Feng Chu1, Shu-Na Yao1, Cheng Wang2, Waseem Lone2, Qing-Xin Xia3, Jie Ma3, Shu-Jun Yang1, Kang-Dong Liu4,5, Zi-Gang Dong4, Yong-Jun Guo3, Lynette M. Smith6, Timothy W. McKeithan7, Wing C. Chan7, Javeed Iqbal2, and Yan-Yan Liu1 Abstract Purpose: One third of patients with diffuse large B-cell an independent prognostic factor for RCHOP resistance after lymphoma (DLBCL) succumb to the disease partly due to adjusting for International Prognostic Index, cell-of-origin rituximab resistance. Rituximab-induced calcium flux is an classification, and MYC/BCL2 double expression. Loss of important inducer of apoptotic cell death, and we investigated CACNA1C expression reduced rituximab-induced apoptosis the potential role of calcium channels in rituximab resistance. and tumor shrinkage. We further demonstrated direct inter- Experimental Design: The distinctive expression of calcium action of CACNA1C with CD20 and its role in CD20 stabi- channel members was compared between patients sensitive lization. Functional modulators of L-type calcium channel and resistant to rituximab, cyclophosphamide, vincristine, showed expected alteration in rituximab-induced apoptosis doxorubicin, prednisone (RCHOP) regimen. The observation and tumor suppression. Furthermore, we demonstrated that was further validated through mechanistic in vitro and in vivo CACNA1C expression was directly regulated by miR-363 studies using cell lines and patient-derived xenograft mouse whose high expression is associated with worse prognosis in models. -
Ion Channels 3 1
r r r Cell Signalling Biology Michael J. Berridge Module 3 Ion Channels 3 1 Module 3 Ion Channels Synopsis Ion channels have two main signalling functions: either they can generate second messengers or they can function as effectors by responding to such messengers. Their role in signal generation is mainly centred on the Ca2 + signalling pathway, which has a large number of Ca2+ entry channels and internal Ca2+ release channels, both of which contribute to the generation of Ca2 + signals. Ion channels are also important effectors in that they mediate the action of different intracellular signalling pathways. There are a large number of K+ channels and many of these function in different + aspects of cell signalling. The voltage-dependent K (KV) channels regulate membrane potential and + excitability. The inward rectifier K (Kir) channel family has a number of important groups of channels + + such as the G protein-gated inward rectifier K (GIRK) channels and the ATP-sensitive K (KATP) + + channels. The two-pore domain K (K2P) channels are responsible for the large background K current. Some of the actions of Ca2 + are carried out by Ca2+-sensitive K+ channels and Ca2+-sensitive Cl − channels. The latter are members of a large group of chloride channels and transporters with multiple functions. There is a large family of ATP-binding cassette (ABC) transporters some of which have a signalling role in that they extrude signalling components from the cell. One of the ABC transporters is the cystic − − fibrosis transmembrane conductance regulator (CFTR) that conducts anions (Cl and HCO3 )and contributes to the osmotic gradient for the parallel flow of water in various transporting epithelia. -
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 -
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Supplemental Information Biological and Pharmaceutical Bulletin Promoter Methylation Profiles between Human Lung Adenocarcinoma Multidrug Resistant A549/Cisplatin (A549/DDP) Cells and Its Progenitor A549 Cells Ruiling Guo, Guoming Wu, Haidong Li, Pin Qian, Juan Han, Feng Pan, Wenbi Li, Jin Li, and Fuyun Ji © 2013 The Pharmaceutical Society of Japan Table S1. Gene categories involved in biological functions with hypomethylated promoter identified by MeDIP-ChIP analysis in lung adenocarcinoma MDR A549/DDP cells compared with its progenitor A549 cells Different biological Genes functions transcription factor MYOD1, CDX2, HMX1, THRB, ARNT2, ZNF639, HOXD13, RORA, FOXO3, HOXD10, CITED1, GATA1, activity HOXC6, ZGPAT, HOXC8, ATOH1, FLI1, GATA5, HOXC4, HOXC5, PHTF1, RARB, MYST2, RARG, SIX3, FOXN1, ZHX3, HMG20A, SIX4, NR0B1, SIX6, TRERF1, DDIT3, ASCL1, MSX1, HIF1A, BAZ1B, MLLT10, FOXG1, DPRX, SHOX, ST18, CCRN4L, TFE3, ZNF131, SOX5, TFEB, MYEF2, VENTX, MYBL2, SOX8, ARNT, VDR, DBX2, FOXQ1, MEIS3, HOXA6, LHX2, NKX2-1, TFDP3, LHX6, EWSR1, KLF5, SMAD7, MAFB, SMAD5, NEUROG1, NR4A1, NEUROG3, GSC2, EN2, ESX1, SMAD1, KLF15, ZSCAN1, VAV1, GAS7, USF2, MSL3, SHOX2, DLX2, ZNF215, HOXB2, LASS3, HOXB5, ETS2, LASS2, DLX5, TCF12, BACH2, ZNF18, TBX21, E2F8, PRRX1, ZNF154, CTCF, PAX3, PRRX2, CBFA2T2, FEV, FOS, BARX1, PCGF2, SOX15, NFIL3, RBPJL, FOSL1, ALX1, EGR3, SOX14, FOXJ1, ZNF92, OTX1, ESR1, ZNF142, FOSB, MIXL1, PURA, ZFP37, ZBTB25, ZNF135, HOXC13, KCNH8, ZNF483, IRX4, ZNF367, NFIX, NFYB, ZBTB16, TCF7L1, HIC1, TSC22D1, TSC22D2, REXO4, POU3F2, MYOG, NFATC2, ENO1, -
Pflugers Final
CORE Metadata, citation and similar papers at core.ac.uk Provided by Serveur académique lausannois A comprehensive analysis of gene expression profiles in distal parts of the mouse renal tubule. Sylvain Pradervand2, Annie Mercier Zuber1, Gabriel Centeno1, Olivier Bonny1,3,4 and Dmitri Firsov1,4 1 - Department of Pharmacology and Toxicology, University of Lausanne, 1005 Lausanne, Switzerland 2 - DNA Array Facility, University of Lausanne, 1015 Lausanne, Switzerland 3 - Service of Nephrology, Lausanne University Hospital, 1005 Lausanne, Switzerland 4 – these two authors have equally contributed to the study to whom correspondence should be addressed: Dmitri FIRSOV Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925406 Fax: ++ 41-216925355 e-mail: [email protected] and Olivier BONNY Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925417 Fax: ++ 41-216925355 e-mail: [email protected] 1 Abstract The distal parts of the renal tubule play a critical role in maintaining homeostasis of extracellular fluids. In this review, we present an in-depth analysis of microarray-based gene expression profiles available for microdissected mouse distal nephron segments, i.e., the distal convoluted tubule (DCT) and the connecting tubule (CNT), and for the cortical portion of the collecting duct (CCD) (Zuber et al., 2009). Classification of expressed transcripts in 14 major functional gene categories demonstrated that all principal proteins involved in maintaining of salt and water balance are represented by highly abundant transcripts. However, a significant number of transcripts belonging, for instance, to categories of G protein-coupled receptors (GPCR) or serine-threonine kinases exhibit high expression levels but remain unassigned to a specific renal function. -
Malignant Hyperthermia in the Post-Genomics Era: New Perspectives on an Old Concept
This is a repository copy of Malignant Hyperthermia in the Post-Genomics Era: New Perspectives on an Old Concept. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/121269/ Version: Accepted Version Article: Riazi, S, Kraeva, N and Hopkins, PM orcid.org/0000-0002-8127-1739 (2018) Malignant Hyperthermia in the Post-Genomics Era: New Perspectives on an Old Concept. Anesthesiology, 128. pp. 168-180. ISSN 0003-3022 https://doi.org/10.1097/ALN.0000000000001878 © 2017, the American Society of Anesthesiologists, Inc. Wolters Kluwer Health, Inc. This is an author produced version of a paper published in Anesthesiology. Uploaded in accordance with the publisher's self-archiving policy. Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ Malignant Hyperthermia in the Post-Genomics Era: New Perspectives on an Old Concept Sheila Riazi, MSc, MD,1,2 Natalia Kraeva, -
Lineage-Specific Effector Signatures of Invariant NKT Cells Are Shared Amongst Δγ T, Innate Lymphoid, and Th Cells
Downloaded from http://www.jimmunol.org/ by guest on September 26, 2021 δγ is online at: average * The Journal of Immunology , 10 of which you can access for free at: 2016; 197:1460-1470; Prepublished online 6 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600643 http://www.jimmunol.org/content/197/4/1460 Lineage-Specific Effector Signatures of Invariant NKT Cells Are Shared amongst T, Innate Lymphoid, and Th Cells You Jeong Lee, Gabriel J. Starrett, Seungeun Thera Lee, Rendong Yang, Christine M. Henzler, Stephen C. Jameson and Kristin A. Hogquist J Immunol cites 41 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2016/07/06/jimmunol.160064 3.DCSupplemental This article http://www.jimmunol.org/content/197/4/1460.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 26, 2021. The Journal of Immunology Lineage-Specific Effector Signatures of Invariant NKT Cells Are Shared amongst gd T, Innate Lymphoid, and Th Cells You Jeong Lee,* Gabriel J. -
One Gene One Antibody
Original Manufacturer of Antibodies, Proteins, Kits and Reagents Sandwich ELISA ABCB1 ADAM17 ChIP C9orf39 ADAR CCT7 EBI3HMOX2 GSS MAP3K14 MGST1PKIG RPL39L Gene : RASSF1A 3.6 PDCD6 STAR 3.2 RIN2 SYT4 ADAM9CD24 ECH1 2.8 ABCC4CA3 FBXO25 HNMT MIFPLA2G4A RPL9 10 2.4 HADHSC MAP3K6HBB TACC3 ADAMTS1CD34 EDG1 2.0 RNF11STAT6 ABCC6 HOXA9 MKI67PLEKHC1 RPS19 1.6 OD 450 CACNA1C DNM1LHAPLN3 TAF2 ADAMTS17CD48 EEF1A2 1.2 MAPK1PDK2 RNF139STC2 HOXC13 MLL4PLEKHG5 RRM2B 5 0.8 0.4 ABCF2CALCRL DNMT1CUL3 TAF7 ADCY5CDC37 EFNA1PAM Percent Input % 0 MARCKSPDK4 RNF14CNN1 HOXD9 MLLT11PLK2 RPS3MID 0.01 0.1 1 10 100 1000 ABCG1CALR Dnmt3bHBXAP TAGLN3 ADORA3CDC42BPA 0 Recombinant Protein Concentration (ng/ml) HPN PLK4 MARK2PDLIM5 RNF4STK25 EFNB2 MOCS3 PFC ChIP ab: IgG beads MeCP2 ABP1CALR3 DOCK4hCAPD3 RPS3ATAOK1 AEBP1CDH1 MASTLPEX10 RNF8STX5A EHD3HPSE MPHOSPH10PLN Product Name : Human BIRC5 Matched Ab Pair ACACACANT1 DPH1HCAP RPS7TARDBP AHRRCDH18 Product Name : Mecp2 polyclonal antibody Catalog # : H00000332-AP11 MAT2BPFN2 RNPC2STX6 EHD4HRSP12 MRC1PLOD1 Catalog # : PAB0646 Standard curve using recombinant protein CBARA1 DPYDHDAC11 ACHE RRAGCTBL1XR1 AHSA1TCF ChIP results obtained with the Mecp2 (H00000332-P01) as an analyte. MCF2LPGM1 RNU3IP2DAO CDK5R1 EIF2AK3HS6ST1 GPX polyclonal antibody (PAB0646). ACO2CBX2 DSUHDGFRP3 MRPL12PML RRASTBX2 GAA ChIP assays were performed using human MCM7PGM2 ROCK1SUFU AIF1CDK5RAP3 EIF2C3SHC2 osteosarcoma ( U-2 OS ) cells. ACOT9CBX3 DUSP10DDO HSD17B12 MRPL48POLA DND1 HECA MDH1PGM3 ROPN1 RRAS2TBX5 AKAP10CDX2 Flow Cytometry SURF4 ACP1CCNG2 -
RT² Profiler PCR Array (Rotor-Gene® Format) Mouse Neuronal Ion Channels
RT² Profiler PCR Array (Rotor-Gene® Format) Mouse Neuronal Ion Channels Cat. no. 330231 PAMM-036ZR For pathway expression analysis Format For use with the following real-time cyclers RT² Profiler PCR Array, Rotor-Gene Q, other Rotor-Gene cyclers Format R Description The Mouse Neuronal Ion Channels RT² Profiler PCR Array was developed to profile expression of a panel of 84 genes encoding neuroscience-related ion channels and transporters. The genes represented on the array are listed below, grouped according to their functional and structural features. Included are calcium channels, potassium channels, sodium channels, chloride channels, and transporters. Using real-time PCR, you can easily and reliably analyze expression of a focused panel of genes related to the neuronal ion channels and transporters with this array. For further details, consult the RT² Profiler PCR Array Handbook. Shipping and storage RT² Profiler PCR Arrays in the Rotor-Gene format are shipped at ambient temperature, on dry ice, or blue ice packs depending on destination and accompanying products. For long term storage, keep plates at –20°C. Note: Ensure that you have the correct RT² Profiler PCR Array format for your real-time cycler (see table above). Note: Open the package and store the products appropriately immediately on receipt. Sample & Assay Technologies Array layout The 96 real-time assays in the Rotor-Gene format are located in wells 1–96 of the Rotor-Disc™ (plate A1–A12=Rotor-Disc 1–12, plate B1–B12=Rotor-Disc 13–24, etc.). To maintain data analysis compatibility, wells 97–100 do not contain real-time assays but will contain master mix to account for weight balance.