Comparison of Human Chromosome 19Q13 and Syntenic Region On
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
Genome Wide Association Study of Response to Interval and Continuous Exercise Training: the Predict‑HIIT Study Camilla J
Williams et al. J Biomed Sci (2021) 28:37 https://doi.org/10.1186/s12929-021-00733-7 RESEARCH Open Access Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study Camilla J. Williams1†, Zhixiu Li2†, Nicholas Harvey3,4†, Rodney A. Lea4, Brendon J. Gurd5, Jacob T. Bonafglia5, Ioannis Papadimitriou6, Macsue Jacques6, Ilaria Croci1,7,20, Dorthe Stensvold7, Ulrik Wislof1,7, Jenna L. Taylor1, Trishan Gajanand1, Emily R. Cox1, Joyce S. Ramos1,8, Robert G. Fassett1, Jonathan P. Little9, Monique E. Francois9, Christopher M. Hearon Jr10, Satyam Sarma10, Sylvan L. J. E. Janssen10,11, Emeline M. Van Craenenbroeck12, Paul Beckers12, Véronique A. Cornelissen13, Erin J. Howden14, Shelley E. Keating1, Xu Yan6,15, David J. Bishop6,16, Anja Bye7,17, Larisa M. Haupt4, Lyn R. Grifths4, Kevin J. Ashton3, Matthew A. Brown18, Luciana Torquati19, Nir Eynon6 and Jef S. Coombes1* Abstract Background: Low cardiorespiratory ftness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. Methods: Participant change in objectively measured V̇O2peak from 18 diferent interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms= (SNPs) signifcantly associ- –5 ated (P < 1 10 ) with the magnitude of V̇O2peak response. -
Anti-ARL4A Antibody (ARG41291)
Product datasheet [email protected] ARG41291 Package: 100 μl anti-ARL4A antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes ARL4A Tested Reactivity Hu, Ms, Rat Tested Application ICC/IF, IHC-P Host Rabbit Clonality Polyclonal Isotype IgG Target Name ARL4A Antigen Species Human Immunogen Recombinant fusion protein corresponding to aa. 121-200 of Human ARL4A (NP_001032241.1). Conjugation Un-conjugated Alternate Names ARL4; ADP-ribosylation factor-like protein 4A Application Instructions Application table Application Dilution ICC/IF 1:50 - 1:200 IHC-P 1:50 - 1:200 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 23 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 ARL4A Gene Full Name ADP-ribosylation factor-like 4A Background ADP-ribosylation factor-like 4A is a member of the ADP-ribosylation factor family of GTP-binding proteins. ARL4A is similar to ARL4C and ARL4D and each has a nuclear localization signal and an unusually high guaninine nucleotide exchange rate. -
Identification and Characterization of a Novel Human Testis-Specific
Biochemical and Biophysical Research Communications 285, 400–408 (2001) doi:10.1006/bbrc.2001.5165, available online at http://www.idealibrary.com on Identification and Characterization of a Novel Human Testis-Specific Kinase Substrate Gene Which Is Downregulated in Testicular Tumors Andreas Scorilas,*,† George M. Yousef,*,† Klaus Jung,‡ Ewa Rajpert-De Meyts,§ Stephan Carsten,‡ and Eleftherios P. Diamandis*,†,1 *Department of Pathology and Laboratory Medicine, Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada; †Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario M5G 1L5, Canada; ‡Department of Urology, University Hospital Charite, Humboldt University, Berlin, Germany; and §Department of Growth and Reproduction, Juliane Marie Centre, National University Hospital, Copenhagen, Denmark Received June 8, 2001 physiology, most probably in the process of spermato- By using the positional candidate gene approach, we genesis or spermiogenesis. © 2001 Academic Press identified a novel putative serine/threonine kinase Key Words: kinase substrates; testis-specific genes; substrate gene that maps to chromosome 19q13.3. gene mapping; gene characterization; TSKS; testis- Screening of expressed sequence tags and reverse specific kinase substrate; RRAS; IRF3; testicular transcription–polymerase chain reaction of total RNA cancer. from human tissues allowed us to establish the expres- sion of the gene and delineate its genomic organiza- tion (GenBank Accession No. AF200923). This gene (TSKS, for testis-specific kinase substrate) is com- Protein phosphorylation is the most common post- posed of 11 exons and 10 intervening introns and is translational protein modification in eukaryotes and a likely the human homolog of the mouse testis-specific fundamental mechanism for the direct or indirect con- serine kinase substrate gene. -
Meta-Analysis of Nasopharyngeal Carcinoma
BMC Genomics BioMed Central Research article Open Access Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation Xia Chen†1,2, Shuang Liang†1, WenLing Zheng1,3, ZhiJun Liao1, Tao Shang1 and WenLi Ma*1 Address: 1Institute of Genetic Engineering, Southern Medical University, Guangzhou, PR China, 2Xiangya Pingkuang associated hospital, Pingxiang, Jiangxi, PR China and 3Southern Genomics Research Center, Guangzhou, Guangdong, PR China Email: Xia Chen - [email protected]; Shuang Liang - [email protected]; WenLing Zheng - [email protected]; ZhiJun Liao - [email protected]; Tao Shang - [email protected]; WenLi Ma* - [email protected] * Corresponding author †Equal contributors Published: 7 July 2008 Received: 16 February 2008 Accepted: 7 July 2008 BMC Genomics 2008, 9:322 doi:10.1186/1471-2164-9-322 This article is available from: http://www.biomedcentral.com/1471-2164/9/322 © 2008 Chen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Epstein-Barr virus (EBV) presumably plays an important role in the pathogenesis of nasopharyngeal carcinoma (NPC), but the molecular mechanism of EBV-dependent neoplastic transformation is not well understood. The combination of bioinformatics with evidences from biological experiments paved a new way to gain more insights into the molecular mechanism of cancer. Results: We profiled gene expression using a meta-analysis approach. Two sets of meta-genes were obtained. Meta-A genes were identified by finding those commonly activated/deactivated upon EBV infection/reactivation. -
GCAT|Panel, a Comprehensive Structural Variant Haplotype Map of the Iberian Population from High-Coverage Whole-Genome Sequencing
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.20.453041; this version posted July 21, 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-NC-ND 4.0 International license. GCAT|Panel, a comprehensive structural variant haplotype map of the Iberian population from high-coverage whole-genome sequencing Jordi Valls-Margarit1,#, Iván Galván-Femenía2,3,#, Daniel Matías-Sánchez1,#, Natalia Blay2, Montserrat Puiggròs1, Anna Carreras2, Cecilia Salvoro1, Beatriz Cortés2, Ramon Amela1, Xavier Farre2, Jon Lerga- Jaso4, Marta Puig4, Jose Francisco Sánchez-Herrero5, Victor Moreno6,7,8,9, Manuel Perucho10,11, Lauro Sumoy5, Lluís Armengol12, Olivier Delaneau13,14, Mario Cáceres4,15, Rafael de Cid2,*,† & David Torrents1,15,* 1. Life sciences dept, Barcelona Supercomputing Center (BSC), Barcelona, 08034, Spain. 2. Genomes for Life-GCAT lab Group, Institute for Health Science Research Germans Trias i Pujol (IGTP), Badalona, 08916, Spain. 3. Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, 08028, Barcelona, Spain (current affiliation). 4. Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, Barcelona, 08193, Spain. 5. High Content Genomics and Bioinformatics Unit, Institute for Health Science Research Germans Trias i Pujol (IGTP), 08916, Badalona, Spain. 6. Catalan Institute of Oncology, Hospitalet del Llobregat, 08908, Spain. 7. Bellvitge Biomedical Research Institute (IDIBELL), Hospitalet del Llobregat, 08908, Spain. 8. CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, 28029, Spain. 9. Universitat de Barcelona (UB), Barcelona, 08007, Spain. -
Rpp2, an Essential Protein Subunit of Nuclear Rnase P, Is Required for Processing of Precursor Trnas and 35S Precursor Rrna in Saccharomyces Cerevisiae
Proc. Natl. Acad. Sci. USA Vol. 95, pp. 6716–6721, June 1998 Biochemistry Rpp2, an essential protein subunit of nuclear RNase P, is required for processing of precursor tRNAs and 35S precursor rRNA in Saccharomyces cerevisiae VIKTOR STOLC*, ALEXANDER KATZ†, AND SIDNEY ALTMAN†‡ †Department of Biology, Yale University, New Haven, CT 06520; and *Department of Cell Biology, Yale University School of Medicine, New Haven, CT 06510 Contributed by Sidney Altman, March 31, 1998 ABSTRACT RPP2, an essential gene that encodes a 15.8- has been suggested that RNase P is an ancestor of RNase kDa protein subunit of nuclear RNase P, has been identified MRP, because RNase MRP has been found only in eukaryotes in the genome of Saccharomyces cerevisiae. Rpp2 was detected (20). Yeast RNase MRP functions in processing of precursor by sequence similarity with a human protein, Rpp20, which rRNAs at the A3 site in the internal transcribed sequence of copurifies with human RNase P. Epitope-tagged Rpp2 can be the 35S precursor rRNA (21) and also cleaves RNA primers found in association with both RNase P and RNase mitochon- for mitochondrial DNA replication (22, 23). Although RNase drial RNA processing in immunoprecipitates from crude MRP does not cleave ptRNAs in vitro, its role in rRNA extracts of cells. Depletion of Rpp2 protein in vivo causes processing is affected by proteins that associate with RNase P accumulation of precursor tRNAs with unprocessed introns in vivo (11–14). RNase P functions in the biosynthesis of and 5* and 3* termini, and leads to defects in the processing tRNAs (8) and appears to have a role in rRNA processing in of the 35S precursor rRNA. -
Gene Prioritization in Type 2 Diabetes Using Domain Interactions And
Sharma et al. BMC Genomics 2010, 11:84 http://www.biomedcentral.com/1471-2164/11/84 RESEARCH ARTICLE Open Access Gene prioritization in Type 2 Diabetes using domain interactions and network analysis Amitabh Sharma1†, Sreenivas Chavali1†, Rubina Tabassum1, Nikhil Tandon2, Dwaipayan Bharadwaj1* Abstract Background: Identification of disease genes for Type 2 Diabetes (T2D) by traditional methods has yielded limited success. Based on our previous observation that T2D may result from disturbed protein-protein interactions affected through disrupting modular domain interactions, here we have designed an approach to rank the candidates in the T2D linked genomic regions as plausible disease genes. Results: Our approach integrates Weight value (Wv) method followed by prioritization using clustering coefficients derived from domain interaction network. Wv for each candidate is calculated based on the assumption that disease genes might be functionally related, mainly facilitated by interactions among domains of the interacting proteins. The benchmarking using a test dataset comprising of both known T2D genes and non-T2D genes revealed that Wv method had a sensitivity and specificity of 0.74 and 0.96 respectively with 9 fold enrichment. The candidate genes having a Wv > 0.5 were called High Weight Elements (HWEs). Further, we ranked HWEs by using the network property-the clustering coefficient (Ci). Each HWE with a Ci < 0.015 was prioritized as plausible disease candidates (HWEc) as previous studies indicate that disease genes tend to avoid dense clustering (with an average Ci of 0.015). This method further prioritized the identified disease genes with a sensitivity of 0.32 and a specificity of 0.98 and enriched the candidate list by 6.8 fold. -
Targeting PH Domain Proteins for Cancer Therapy
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 12-2018 Targeting PH domain proteins for cancer therapy Zhi Tan Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Bioinformatics Commons, Medicinal Chemistry and Pharmaceutics Commons, Neoplasms Commons, and the Pharmacology Commons Recommended Citation Tan, Zhi, "Targeting PH domain proteins for cancer therapy" (2018). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 910. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/910 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. TARGETING PH DOMAIN PROTEINS FOR CANCER THERAPY by Zhi Tan Approval page APPROVED: _____________________________________________ Advisory Professor, Shuxing Zhang, Ph.D. _____________________________________________ -
Nck Adaptor Proteins Link Nephrin at the Podocyte Slit Diaphragm to the Hippo Regulator WTIP
Nck Adaptor Proteins Link Nephrin at the Podocyte Slit Diaphragm to the Hippo Regulator WTIP by Ava Keyvani Chahi A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Molecular and Cellular Biology Guelph, Ontario, Canada © Ava Keyvani Chahi, December, 2014 ABSTRACT NCK ADAPTOR PROTEINS LINK NEPHRIN AT THE PODOCYTE SLIT DIAPHRAGM TO THE HIPPO REGULATOR WTIP Ava Keyvani Chahi Advisor: University of Guelph, 2014 Dr. Nina Jones Podocytes are specialized epithelial cells that contribute to the kidney blood filtration barrier. Their unique cytoskeletal architecture and other complex biological signals are largely maintained by a modified adherens junction known as the slit diaphragm (SD). A major component of the SD is the transmembrane protein nephrin, which upon tyrosine phosphorylation of the intracellular domain regulates actin remodeling and cell survival. Nck adaptor proteins are a critical component of the filtration barrier and connect nephrin to actin-remodeling proteins by binding phosphotyrosine residues and proline-rich motifs. Herein we identify a novel Nck binding partner, Wilm’s tumor interacting protein (WTIP). WTIP is a transcription regulator in podocytes, though Nck is not nuclear localized under conditions known to induce WTIP nuclear accumulation. However, we demonstrate that WTIP is recruited to nephrin, upon nephrin tyrosine phosphorylation by Src Family Kinases, in an Nck-dependent manner. WTIP is an evolutionarily conserved negative regulator of the Hippo kinase pathway, which inhibits the transcription factor Yap. Yap activity promotes podocyte survival. We show in mice that cannot recruit Nck to nephrin, and by extension WTIP, that Yap protein levels are downregulated. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
SHOC2–MRAS–PP1 Complex Positively Regulates RAF Activity and Contributes to Noonan Syndrome Pathogenesis
SHOC2–MRAS–PP1 complex positively regulates RAF activity and contributes to Noonan syndrome pathogenesis Lucy C. Younga,1, Nicole Hartiga,2, Isabel Boned del Ríoa, Sibel Saria, Benjamin Ringham-Terrya, Joshua R. Wainwrighta, Greg G. Jonesa, Frank McCormickb,3, and Pablo Rodriguez-Vicianaa,3 aUniversity College London Cancer Institute, University College London, London WC1E 6DD, United Kingdom; and bHelen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94158 Contributed by Frank McCormick, September 18, 2018 (sent for review November 22, 2017; reviewed by Deborah K. Morrison and Marc Therrien) Dephosphorylation of the inhibitory “S259” site on RAF kinases CRAF/RAF1 mutations are also frequently found in NS and (S259 on CRAF, S365 on BRAF) plays a key role in RAF activation. cluster around the S259 14-3-3 binding site, enhancing CRAF ac- The MRAS GTPase, a close relative of RAS oncoproteins, interacts tivity through disruption of 14-3-3 binding (8) and highlighting the with SHOC2 and protein phosphatase 1 (PP1) to form a heterotri- key role of this regulatory step in RAF–ERK pathway activation. meric holoenzyme that dephosphorylates this S259 RAF site. MRAS is a very close relative of the classical RAS oncoproteins MRAS and SHOC2 function as PP1 regulatory subunits providing (H-, N-, and KRAS, hereafter referred to collectively as “RAS”) the complex with striking specificity against RAF. MRAS also func- and shares most regulatory and effector interactions as well as tions as a targeting subunit as membrane localization is required transforming ability (9–11). However, MRAS also has specific for efficient RAF dephosphorylation and ERK pathway regulation functions of its own, and uniquely among RAS family GTPases, it in cells.