Novel Candidate Genes of Thyroid Tumourigenesis Identified in Trk-T1 Transgenic Mice
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Old Data and Friends Improve with Age: Advancements with the Updated Tools of Genenetwork
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.24.445383; this version posted May 25, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. Old data and friends improve with age: Advancements with the updated tools of GeneNetwork Alisha Chunduri1, David G. Ashbrook2 1Department of Biotechnology, Chaitanya Bharathi Institute of Technology, Hyderabad 500075, India 2Department of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA Abstract Understanding gene-by-environment interactions is important across biology, particularly behaviour. Families of isogenic strains are excellently placed, as the same genome can be tested in multiple environments. The BXD’s recent expansion to 140 strains makes them the largest family of murine isogenic genomes, and therefore give great power to detect QTL. Indefinite reproducible genometypes can be leveraged; old data can be reanalysed with emerging tools to produce novel biological insights. To highlight the importance of reanalyses, we obtained drug- and behavioural-phenotypes from Philip et al. 2010, and reanalysed their data with new genotypes from sequencing, and new models (GEMMA and R/qtl2). We discover QTL on chromosomes 3, 5, 9, 11, and 14, not found in the original study. We narrowed down the candidate genes based on their ability to alter gene expression and/or protein function, using cis-eQTL analysis, and variants predicted to be deleterious. Co-expression analysis (‘gene friends’) and human PheWAS were used to further narrow candidates. -
An Integrative Prognostic and Immune Analysis of PTPRD in Pan-Cancer
An Integrative Prognostic and Immune Analysis of PTPRD in Pan-Cancer Chunpei Ou longhua district central hospital Qin Peng longhua district central hospital Changchun Zeng ( [email protected] ) longhua district central hospital, guangdong medical university https://orcid.org/0000-0002-9489- 0627 Research Article Keywords: PTPRD, pan-cancer, prognosis, tumor-inltrating, immunotherapy Posted Date: June 4th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-569409/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/22 Abstract Background: PTPRD plays an indispensable role in the occurrence of multiple tumors. However, pan- cancer analysis is unavailable. The purpose of this research was to investigate the relationship between PTPRD and immunity and describe its prognostic landscape across various tumors. Methods: We explored expression prole, survival analysis, and genomic alterations of PTPRD based on the TIMER, GEPIA, UALCAN, PrognoScan, and cBioPortal database. The frequency of PTPRD mutation and its correlation with response to immunotherapy were evaluated using the cBioPortal database. The relationship between PTPRD and immune-cell inltration was analyzed by the TIMER and TISIDB databases. A protein interaction network was constructed by the STRING database. GO and KEGG enrichment analysis was executed by the Metascape database. Results: A signicant correlation between PTPRD expression and prognosis was found in various cancers. Aberrant PRPRD expression was closely related to immune inltration. Importantly, the patients who harbored PTPRD mutation and received immune checkpoint inhibitors had worse overall survival, especially in non-small cell lung cancer and melanoma, and had a higher TMB score. -
Mechanical Forces Induce an Asthma Gene Signature in Healthy Airway Epithelial Cells Ayşe Kılıç1,10, Asher Ameli1,2,10, Jin-Ah Park3,10, Alvin T
www.nature.com/scientificreports OPEN Mechanical forces induce an asthma gene signature in healthy airway epithelial cells Ayşe Kılıç1,10, Asher Ameli1,2,10, Jin-Ah Park3,10, Alvin T. Kho4, Kelan Tantisira1, Marc Santolini 1,5, Feixiong Cheng6,7,8, Jennifer A. Mitchel3, Maureen McGill3, Michael J. O’Sullivan3, Margherita De Marzio1,3, Amitabh Sharma1, Scott H. Randell9, Jefrey M. Drazen3, Jefrey J. Fredberg3 & Scott T. Weiss1,3* Bronchospasm compresses the bronchial epithelium, and this compressive stress has been implicated in asthma pathogenesis. However, the molecular mechanisms by which this compressive stress alters pathways relevant to disease are not well understood. Using air-liquid interface cultures of primary human bronchial epithelial cells derived from non-asthmatic donors and asthmatic donors, we applied a compressive stress and then used a network approach to map resulting changes in the molecular interactome. In cells from non-asthmatic donors, compression by itself was sufcient to induce infammatory, late repair, and fbrotic pathways. Remarkably, this molecular profle of non-asthmatic cells after compression recapitulated the profle of asthmatic cells before compression. Together, these results show that even in the absence of any infammatory stimulus, mechanical compression alone is sufcient to induce an asthma-like molecular signature. Bronchial epithelial cells (BECs) form a physical barrier that protects pulmonary airways from inhaled irritants and invading pathogens1,2. Moreover, environmental stimuli such as allergens, pollutants and viruses can induce constriction of the airways3 and thereby expose the bronchial epithelium to compressive mechanical stress. In BECs, this compressive stress induces structural, biophysical, as well as molecular changes4,5, that interact with nearby mesenchyme6 to cause epithelial layer unjamming1, shedding of soluble factors, production of matrix proteins, and activation matrix modifying enzymes, which then act to coordinate infammatory and remodeling processes4,7–10. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
The N-Cadherin Interactome in Primary Cardiomyocytes As Defined Using Quantitative Proximity Proteomics Yang Li1,*, Chelsea D
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs221606. doi:10.1242/jcs.221606 TOOLS AND RESOURCES The N-cadherin interactome in primary cardiomyocytes as defined using quantitative proximity proteomics Yang Li1,*, Chelsea D. Merkel1,*, Xuemei Zeng2, Jonathon A. Heier1, Pamela S. Cantrell2, Mai Sun2, Donna B. Stolz1, Simon C. Watkins1, Nathan A. Yates1,2,3 and Adam V. Kwiatkowski1,‡ ABSTRACT requires multiple adhesion, cytoskeletal and signaling proteins, The junctional complexes that couple cardiomyocytes must transmit and mutations in these proteins can cause cardiomyopathies (Ehler, the mechanical forces of contraction while maintaining adhesive 2018). However, the molecular composition of ICD junctional homeostasis. The adherens junction (AJ) connects the actomyosin complexes remains poorly defined. – networks of neighboring cardiomyocytes and is required for proper The core of the AJ is the cadherin catenin complex (Halbleib and heart function. Yet little is known about the molecular composition of the Nelson, 2006; Ratheesh and Yap, 2012). Classical cadherins are cardiomyocyte AJ or how it is organized to function under mechanical single-pass transmembrane proteins with an extracellular domain that load. Here, we define the architecture, dynamics and proteome of mediates calcium-dependent homotypic interactions. The adhesive the cardiomyocyte AJ. Mouse neonatal cardiomyocytes assemble properties of classical cadherins are driven by the recruitment of stable AJs along intercellular contacts with organizational and cytosolic catenin proteins to the cadherin tail, with p120-catenin β structural hallmarks similar to mature contacts. We combine (CTNND1) binding to the juxta-membrane domain and -catenin β quantitative mass spectrometry with proximity labeling to identify the (CTNNB1) binding to the distal part of the tail. -
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. -
Caspases Switch Off M6a RNA Modification Pathway to Reactivate A
bioRxiv preprint doi: https://doi.org/10.1101/2020.11.12.377127; this version posted November 13, 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 under aCC-BY-NC-ND 4.0 International license. 6 1 Caspases switch off m A RNA modification pathway to reactivate a 2 ubiquitous human tumor virus 3 Kun Zhang1,2, Yucheng Zhang3, Jun Wan3,4,5 and Renfeng Li1,2,6,7,8* 4 1Philips Institute for Oral Health Research, School of Dentistry, Virginia Commonwealth 5 University, Richmond, Virginia, 23298, USA 6 2Department of Oral and Craniofacial Molecular Biology, School of Dentistry, Virginia 7 Commonwealth University, Richmond, Virginia, 23298, USA 8 3Department of Medical and Molecular Genetics, Indiana University School of Medicine, 9 Indianapolis, Indiana, 46202, USA 10 4Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 11 Indianapolis, Indiana, 46202, USA. 12 5Department of BioHealth Informatics, School of Informatics and Computing, Indiana University 13 – Purdue University at Indianapolis, Indianapolis, Indiana, 46202, USA 14 6Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth 15 University, Richmond, Virginia, 23298, USA 16 7Massey Cancer Center, Virginia Commonwealth University, Richmond, Virginia, 23298, USA. 17 8Lead Contact 18 19 *Corresponding author: [email protected] (RL) 20 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.11.12.377127; this version posted November 13, 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. -
Impedes Transport of GRK1 and PDE6 Catalytic Subunits to Photoreceptor Outer Segments
Deletion of PrBP/␦ impedes transport of GRK1 and PDE6 catalytic subunits to photoreceptor outer segments H. Zhang*, S. Li*, T. Doan†, F. Rieke†‡, P. B. Detwiler†, J. M. Frederick*, and W. Baehr*§¶ʈ *John A. Moran Eye Center, University of Utah Health Science Center, Salt Lake City, UT 84132; †Department of Physiology and Biophysics and ‡Howard Hughes Medical Institute, University of Washington, Seattle, WA 98195; and Departments of §Neurobiology and Anatomy and ¶Biology, University of Utah, Salt Lake City, UT 84112 Edited by Jeremy Nathans, Johns Hopkins University School of Medicine, Baltimore, MD, and approved April 11, 2007 (received for review February 23, 2007) The mouse Pde6d gene encodes a ubiquitous prenyl binding chains (5, 7). Posttranslational sorting and targeting of proteins protein, termed PrBP/␦, of largely unknown physiological function. occurs in all cells and is of particular importance in photore- PrBP/␦ was originally identified as a putative rod cGMP phospho- ceptors, which renew their entire outer segments roughly every diesterase (PDE6) subunit in the retina, where it is relatively 10 days (8). Because of compartmentalization of inner and outer abundant. To investigate the consequences of Pde6d deletion in segments and very active metabolism, photoreceptors are re- .retina, we generated a Pde6d؊/؊ mouse by targeted recombina- garded as model cells to study protein trafficking tion. Although manifesting reduced body weight, the Pde6d؊/؊ PrBP/␦, originally thought to be a subunit of PDE6 and termed mouse was viable and fertile and its retina developed normally. PDE␦ (9), was shown recently to be a prenyl binding protein (10, Immunocytochemistry showed that farnesylated rhodopsin kinase 11) and subsequently named PrBP/␦ to reflect this fact (12). -
Arp73034 P050
Aviva Systems Biology PDE6D Antibody - N-terminal region (ARP73034_P050) Product Number ARP73034_P050 Product Page http://www.avivasysbio.com/pde6d-antibody-n-terminal-region-arp73034-p050.html Product Name PDE6D Antibody - N-terminal region (ARP73034_P050) Size 100 ul Gene Symbol PDE6D Alias Symbols PDE6D, PDED, Protein Size (# AA) 150 amino acids Molecular Weight 16kDa Product Format Liquid. Purified antibody supplied in 1x PBS buffer with 0.09% (w/v) sodium azide and 2% sucrose. NCBI Gene Id 5147 Host Rabbit Clonality Polyclonal Concentration Batch dependent within range: 100 ul at 0.5 - 1 mg/ml Description This is a rabbit polyclonal antibody against PDE6D. It was validated on Western Blot by Aviva Systems Biology. At Aviva Systems Biology we manufacture rabbit polyclonal antibodies on a large scale (200-1000 products/month) of high throughput manner. Our antibodies are peptide based and protein family oriented. We usually provide antibodies covering each member of a whole protein family of your interest. We also use our best efforts to provide you antibodies recognize various epitopes of a target protein. For availability of antibody needed for your experiment, please inquire ([email protected]). Peptide Sequence Synthetic peptide located within the following region: NLRDAETGKILWQGTEDLSVPGVEHEARVPKKILKCKAVSRELNFSSTEQ Description of PDE6D acts as a GTP specific dissociation inhibitor (GDI). It increases the affinity of Target ARL3 for GTP by several orders of magnitude and does so by decreasing the nucleotide dissociation rate. It stabilizes ARL3-GTP by decreasing the nucleotide dissociation. Protein Interactions ARL16; ARL2; UBC; PTGIR; COPS5; CUL1; FAM219A; ARL15; RND1; GRK7; RAD23A; ARL3; CETN3; RAB13; RAB18; RHEB; RPGR; HRAS; GRK1; RAP2B; RAP1A; RHOA; RHOB; RAB8A; GNAI1; RASA1; CDC42; Reconstitution and For short term use, store at 2-8C up to 1 week. -
Slitrks Control Excitatory and Inhibitory Synapse Formation with LAR
Slitrks control excitatory and inhibitory synapse SEE COMMENTARY formation with LAR receptor protein tyrosine phosphatases Yeong Shin Yima,1, Younghee Kwonb,1, Jungyong Namc, Hong In Yoona, Kangduk Leeb, Dong Goo Kima, Eunjoon Kimc, Chul Hoon Kima,2, and Jaewon Kob,2 aDepartment of Pharmacology, Brain Research Institute, Brain Korea 21 Project for Medical Science, Severance Biomedical Science Institute, Yonsei University College of Medicine, Seoul 120-752, Korea; bDepartment of Biochemistry, College of Life Science and Biotechnology, Yonsei University, Seoul 120-749, Korea; and cCenter for Synaptic Brain Dysfunctions, Institute for Basic Science, Department of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 305-701, Korea Edited by Thomas C. Südhof, Stanford University School of Medicine, Stanford, CA, and approved December 26, 2012 (received for review June 11, 2012) The balance between excitatory and inhibitory synaptic inputs, share a similar domain organization comprising three Ig domains which is governed by multiple synapse organizers, controls neural and four to eight fibronectin type III repeats. LAR-RPTP family circuit functions and behaviors. Slit- and Trk-like proteins (Slitrks) are members are evolutionarily conserved and are functionally required a family of synapse organizers, whose emerging synaptic roles are for axon guidance and synapse formation (15). Recent studies have incompletely understood. Here, we report that Slitrks are enriched shown that netrin-G ligand-3 (NGL-3), neurotrophin receptor ty- in postsynaptic densities in rat brains. Overexpression of Slitrks rosine kinase C (TrkC), and IL-1 receptor accessory protein-like 1 promoted synapse formation, whereas RNAi-mediated knock- (IL1RAPL1) bind to all three LAR-RPTP family members or dis- down of Slitrks decreased synapse density. -
Molecular Mechanisms of Ribosomal Protein Gene Coregulation
Downloaded from genesdev.cshlp.org on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press Molecular mechanisms of ribosomal protein gene coregulation Rohit Reja, Vinesh Vinayachandran, Sujana Ghosh, and B. Franklin Pugh Center for Eukaryotic Gene Regulation, Pennsylvania State University, University Park, Pennsylvania 16802, USA The 137 ribosomal protein genes (RPGs) of Saccharomyces provide a model for gene coregulation. We examined the positional and functional organization of their regulators (Rap1 [repressor activator protein 1], Fhl1, Ifh1, Sfp1, and Hmo1), the transcription machinery (TFIIB, TFIID, and RNA polymerase II), and chromatin at near-base-pair res- olution using ChIP-exo, as RPGs are coordinately reprogrammed. Where Hmo1 is enriched, Fhl1, Ifh1, Sfp1, and Hmo1 cross-linked broadly to promoter DNA in an RPG-specific manner and demarcated by general minor groove widening. Importantly, Hmo1 extended 20–50 base pairs (bp) downstream from Fhl1. Upon RPG repression, Fhl1 remained in place. Hmo1 dissociated, which was coupled to an upstream shift of the +1 nucleosome, as reflected by the Hmo1 extension and core promoter region. Fhl1 and Hmo1 may create two regulatable and positionally distinct barriers, against which chromatin remodelers position the +1 nucleosome into either an activating or a repressive state. Consistent with in vitro studies, we found that specific TFIID subunits, in addition to cross-linking at the core promoter, made precise cross-links at Rap1 sites, which we interpret to reflect native Rap1–TFIID interactions. Our findings suggest how sequence-specific DNA binding regulates nucleosome positioning and transcription complex assembly >300 bp away and how coregulation coevolved with coding sequences. -
The Identification of Chromosomal Translocation, T(4;6)(Q22;Q15), In
The identification of chromosomal translocation, t(4;6)(q22;q15), in prostate cancer Yong-Jie Lu, Ling Shan, Laurence Ambroisine, Jeremy Clark, Rafael Yáñez-Muñoz, Gabrielle Fisher, Sakunthala Kudahetti, Jin-Shu Yang, Sanam Kia, Xueying Mao, et al. To cite this version: Yong-Jie Lu, Ling Shan, Laurence Ambroisine, Jeremy Clark, Rafael Yáñez-Muñoz, et al.. The identification of chromosomal translocation, t(4;6)(q22;q15), in prostate cancer. Prostate Cancer and Prostatic Diseases, Nature Publishing Group, 2010, n/a (n/a), pp.n/a-n/a. 10.1038/pcan.2010.2. hal-00510976 HAL Id: hal-00510976 https://hal.archives-ouvertes.fr/hal-00510976 Submitted on 23 Aug 2010 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. The identification of chromosomal translocation, t(4;6)(q22;q15), in prostate cancer L Shan1, L Ambroisine2, J Clark3, RJ Yáñez-Muñoz1, G Fisher2, SC Kudahetti1, J Yang1, S Kia1, X Mao1, A Fletcher3, P Flohr3, S Edwards3, G Attard3, J De- Bono3, BD Young1, CS Foster4, V Reuter5, H Moller6, TD Oliver1, DM Berney1, P Scardino7, J Cuzick2, CS Cooper3,