An Integrative System for Analyzing Spatial-Temporal Gene-Expression
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Functional Annotation of Exon Skipping Event in Human Pora Kim1,*,†, Mengyuan Yang1,†,Keyiya2, Weiling Zhao1 and Xiaobo Zhou1,3,4,*
D896–D907 Nucleic Acids Research, 2020, Vol. 48, Database issue Published online 23 October 2019 doi: 10.1093/nar/gkz917 ExonSkipDB: functional annotation of exon skipping event in human Pora Kim1,*,†, Mengyuan Yang1,†,KeYiya2, Weiling Zhao1 and Xiaobo Zhou1,3,4,* 1School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA, 2College of Electronics and Information Engineering, Tongji University, Shanghai, China, 3McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA and 4School of Dentistry, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA Received August 13, 2019; Revised September 21, 2019; Editorial Decision October 03, 2019; Accepted October 03, 2019 ABSTRACT been used as therapeutic targets (3–8). For example, MET has lost the binding site of E3 ubiquitin ligase CBL through Exon skipping (ES) is reported to be the most com- exon 14 skipping event (9), resulting in an enhanced expres- mon alternative splicing event due to loss of func- sion level of MET. MET amplification drives the prolifera- tional domains/sites or shifting of the open read- tion of tumor cells. Multiple tyrosine kinase inhibitors, such ing frame (ORF), leading to a variety of human dis- as crizotinib, cabozantinib and capmatinib, have been used eases and considered therapeutic targets. To date, to treat patients with MET exon 14 skipping (10). Another systematic and intensive annotations of ES events example is the dystrophin gene (DMD) in Duchenne mus- based on the skipped exon units in cancer and cular dystrophy (DMD), a progressive neuromuscular dis- normal tissues are not available. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Genome-Wide Approach to Identify Risk Factors for Therapy-Related Myeloid Leukemia
Leukemia (2006) 20, 239–246 & 2006 Nature Publishing Group All rights reserved 0887-6924/06 $30.00 www.nature.com/leu ORIGINAL ARTICLE Genome-wide approach to identify risk factors for therapy-related myeloid leukemia A Bogni1, C Cheng2, W Liu2, W Yang1, J Pfeffer1, S Mukatira3, D French1, JR Downing4, C-H Pui4,5,6 and MV Relling1,6 1Department of Pharmaceutical Sciences, The University of Tennessee, Memphis, TN, USA; 2Department of Biostatistics, The University of Tennessee, Memphis, TN, USA; 3Hartwell Center, The University of Tennessee, Memphis, TN, USA; 4Department of Pathology, The University of Tennessee, Memphis, TN, USA; 5Department of Hematology/Oncology St Jude Children’s Research Hospital, The University of Tennessee, Memphis, TN, USA; and 6Colleges of Medicine and Pharmacy, The University of Tennessee, Memphis, TN, USA Using a target gene approach, only a few host genetic risk therapy increases, the importance of identifying host factors for factors for treatment-related myeloid leukemia (t-ML) have been secondary neoplasms increases. defined. Gene expression microarrays allow for a more 4 genome-wide approach to assess possible genetic risk factors Because DNA microarrays interrogate multiple ( 10 000) for t-ML. We assessed gene expression profiles (n ¼ 12 625 genes in one experiment, they allow for a ‘genome-wide’ probe sets) in diagnostic acute lymphoblastic leukemic cells assessment of genes that may predispose to leukemogenesis. from 228 children treated on protocols that included leukemo- DNA microarray analysis of gene expression has been used to genic agents such as etoposide, 13 of whom developed t-ML. identify distinct expression profiles that are characteristic of Expression of 68 probes, corresponding to 63 genes, was different leukemia subtypes.13,14 Studies using this method have significantly related to risk of t-ML. -
Function in Vertebrates Receptor-Containing Adaptor
Evidence for Evolving Toll-IL-1 Receptor-Containing Adaptor Molecule Function in Vertebrates This information is current as Con Sullivan, John H. Postlethwait, Christopher R. Lage, of September 30, 2021. Paul J. Millard and Carol H. Kim J Immunol 2007; 178:4517-4527; ; doi: 10.4049/jimmunol.178.7.4517 http://www.jimmunol.org/content/178/7/4517 Downloaded from References This article cites 60 articles, 30 of which you can access for free at: http://www.jimmunol.org/content/178/7/4517.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 30, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2007 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Evidence for Evolving Toll-IL-1 Receptor-Containing Adaptor Molecule Function in Vertebrates1 Con Sullivan,* John H. Postlethwait,† Christopher R. Lage,* Paul J. Millard,‡ and Carol H. Kim2* In mammals, Toll-IL-1R-containing adaptor molecule 1 (TICAM1)-dependent TLR pathways induce NF-B and IFN- re- sponses. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Genome-Wide Analysis of Thyroid Hormone Receptors Shared and Specific Functions in Neural Cells
Genome-wide analysis of thyroid hormone receptors shared and specific functions in neural cells Fabrice Chatonneta, Romain Guyota, Gérard Benoîtb, and Frederic Flamanta,1 aInstitut de Génomique Fonctionnelle de Lyon, Université de Lyon, Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique, École Normale Supérieure de Lyon, 69364 Lyon Cedex 07, France; and bCentre de Génétique et de Physiologie Moléculaire et Cellulaire, CNRS, Université Lyon 1, Unité Mixte de Recherche 5334, Villeurbanne F-69622, France Edited by Pierre Chambon, Institut de Génétique et de Biologie Moléculaire et Cellulaire (Centre National de la Recherche Scientifique UMR7104, Institut National de la Santé et de la Recherche Médicale U596, Université de Strasbourg, College de France), Illkirch-Cedex, France, and approved January 4, 2013 (received for review June 25, 2012) TRα1 and TRβ1, the two main thyroid hormone receptors in mam- issue. It would help to develop new selective ligands (6). It might mals, are transcription factors that share similar properties. How- also help to predict the possible detrimental side effects of these ever, their respective functions are very different. This functional synthetic ligands in heart and brain (7) and the toxicity of some divergence might be explained in two ways: it can reflect different environmental contaminants supposed to interfere with TR expression patterns or result from different intrinsic properties of functions (8). The primary sequence and 3D structure of TRα1 β the receptors. We tested this second hypothesis by comparing the and TR 1 are very similar, although differences are observed for – repertoires of 3,3′,5-triiodo-L-thyronine (T3)-responsive genes of key amino acids in the DNA-binding domain (9 12). -
Investigation of Adiposity Phenotypes in AA Associated with GALNT10 & Related Pathway Genes
Investigation of Adiposity Phenotypes in AA Associated With GALNT10 & Related Pathway Genes By Mary E. Stromberg A Dissertation Submitted to the Graduate Faculty of WAKE FOREST UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY In Molecular Genetics and Genomics December 2018 Winston-Salem, North Carolina Approved by: Donald W. Bowden, Ph.D., Advisor Maggie C.Y. Ng, Ph.D., Advisor Timothy D. Howard, Ph.D., Chair Swapan Das, Ph.D. John P. Parks, Ph.D. Acknowledgements I would first like to thank my mentors, Dr. Bowden and Dr. Ng, for guiding my learning and growth during my years at Wake Forest University School of Medicine. Thank you Dr. Ng for spending so much time ensuring that I learn every detail of every protocol, and supporting me through personal difficulties over the years. Thank you Dr. Bowden for your guidance in making me a better scientist and person. I would like to thank my committee for their patience and the countless meetings we have had in discussing this project. I would like to say thank you to the members of our lab as well as the Parks lab for their support and friendship as well as their contributions to my project. Special thanks to Dean Godwin for his support and understanding. The umbrella program here at WFU has given me the chance to meet some of the best friends I could have wished for. I would like to also thank those who have taught me along the way and helped me to get to this point of my life, with special thanks to the late Dr. -
The Genetic Factors of Bilaterian Evolution Peter Heger1*, Wen Zheng1†, Anna Rottmann1, Kristen a Panfilio2,3, Thomas Wiehe1
RESEARCH ARTICLE The genetic factors of bilaterian evolution Peter Heger1*, Wen Zheng1†, Anna Rottmann1, Kristen A Panfilio2,3, Thomas Wiehe1 1Institute for Genetics, Cologne Biocenter, University of Cologne, Cologne, Germany; 2Institute for Zoology: Developmental Biology, Cologne Biocenter, University of Cologne, Cologne, Germany; 3School of Life Sciences, University of Warwick, Gibbet Hill Campus, Coventry, United Kingdom Abstract The Cambrian explosion was a unique animal radiation ~540 million years ago that produced the full range of body plans across bilaterians. The genetic mechanisms underlying these events are unknown, leaving a fundamental question in evolutionary biology unanswered. Using large-scale comparative genomics and advanced orthology evaluation techniques, we identified 157 bilaterian-specific genes. They include the entire Nodal pathway, a key regulator of mesoderm development and left-right axis specification; components for nervous system development, including a suite of G-protein-coupled receptors that control physiology and behaviour, the Robo- Slit midline repulsion system, and the neurotrophin signalling system; a high number of zinc finger transcription factors; and novel factors that previously escaped attention. Contradicting the current view, our study reveals that genes with bilaterian origin are robustly associated with key features in extant bilaterians, suggesting a causal relationship. *For correspondence: [email protected] Introduction The taxon Bilateria consists of multicellular animals -
Structural Variation Targets Neurodevelopmental Genes and Identifies SHANK2 As a Tumor
bioRxiv preprint doi: https://doi.org/10.1101/572248; this version posted March 13, 2019. 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. Structural Variation in Neuroblastoma Lopez, Conkrite, et al. Structural variation targets neurodevelopmental genes and identifies SHANK2 as a tumor suppressor in neuroblastoma Gonzalo Lopez1,2+, Karina L. Conkrite1,2+, Miriam Doepner1,2, Komal S. Rathi3, Apexa Modi1,2,10, Zalman Vaksman1-3, Lance M. Farra1,2, Eric Hyson1,2, Moataz Noureddine1,2, Jun S. Wei4, Malcolm A. Smith9, Shahab Asgharzadeh5,6, Robert C. Seeger5,6, Javed Khan4, Jaime Guidry Auvil8, Daniela S. Gerhard8, John M. Maris1-2,10,11, Sharon J. Diskin1-3,10,11* 1Division of Oncology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA. 2Center for Childhood Cancer Research, Children’s Hospital of Philadelphia, Philadelphia, PA, USA. 3Department of Biomedical and Health Informatics, Children’s Hospital of Philadelphia, Philadelphia, PA, USA. 4Oncogenomics Section, Genetics Branch, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA 5Division of Hematology, Oncology and Blood and Marrow Transplantation, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA. 6The Saban Research Institute, Children’s Hospital of Los Angeles, Los Angeles, CA, USA. 7Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. 8Office of Cancer Genomics, National Cancer Institute, Bethesda, MD, USA. 9Cancer Therapy Evaluation Program, National Cancer Institute, Bethesda, MD, USA. 10Genomics and Computational Biology, Biomedical Graduate Studies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. -
Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones). -
Down Syndrome Congenital Heart Disease: a Narrowed Region and a Candidate Gene Gillian M
March/April 2001 ⅐ Vol. 3 ⅐ No. 2 article Down syndrome congenital heart disease: A narrowed region and a candidate gene Gillian M. Barlow, PhD1, Xiao-Ning Chen, MD1, Zheng Y. Shi, BS1, Gary E. Lyons, PhD2, David M. Kurnit, MD, PhD3, Livija Celle, MS4, Nancy B. Spinner, PhD4, Elaine Zackai, MD4, Mark J. Pettenati, PhD5, Alexander J. Van Riper, MS6, Michael J. Vekemans, MD7, Corey H. Mjaatvedt, PhD8, and Julie R. Korenberg, PhD, MD1 Purpose: Down syndrome (DS) is a major cause of congenital heart disease (CHD) and the most frequent known cause of atrioventricular septal defects (AVSDs). Molecular studies of rare individuals with CHD and partial duplications of chromosome 21 established a candidate region that included D21S55 through the telomere. We now report human molecular and cardiac data that narrow the DS-CHD region, excluding two candidate regions, and propose DSCAM (Down syndrome cell adhesion molecule) as a candidate gene. Methods: A panel of 19 individuals with partial trisomy 21 was evaluated using quantitative Southern blot dosage analysis and fluorescence in situ hybridization (FISH) with subsets of 32 BACs spanning the region defined by D21S16 (21q11.2) through the telomere. These BACs span the molecular markers D21S55, ERG, ETS2, MX1/2, collagen XVIII and collagen VI A1/A2. Fourteen individuals are duplicated for the candidate region, of whom eight (57%) have the characteristic spectrum of DS-CHD. Results: Combining the results from these eight individuals suggests the candidate region for DS-CHD is demarcated by D21S3 (defined by ventricular septal defect), through PFKL (defined by tetralogy of Fallot). Conclusions: These data suggest that the presence of three copies of gene(s) from the region is sufficient for the production of subsets of DS-CHD. -
Glycosyltransferase B4GALNT2 As a Predictor of Good Prognosis in Colon Cancer: Lessons from Databases
International Journal of Molecular Sciences Article Glycosyltransferase B4GALNT2 as a Predictor of Good Prognosis in Colon Cancer: Lessons from Databases Michela Pucci, Nadia Malagolini and Fabio Dall’Olio * Department of Experimental, Diagnostic and Specialty Medicine (DIMES), General Pathology Building, University of Bologna, Via San Giacomo 14, 40126 Bologna, Italy; [email protected] (M.P.); [email protected] (N.M.) * Correspondence: [email protected]; Tel.: +39-051-2094704 Abstract: Background: glycosyltransferase B4GALNT2 and its cognate carbohydrate antigen Sda are highly expressed in normal colon but strongly downregulated in colorectal carcinoma (CRC). We previously showed that CRC patients expressing higher B4GALNT2 mRNA levels displayed longer survival. Forced B4GALNT2 expression reduced the malignancy and stemness of colon cancer cells. Methods: Kaplan–Meier survival curves were determined in “The Cancer Genome Atlas” (TCGA) COAD cohort for several glycosyltransferases, oncogenes, and tumor suppressor genes. Whole expression data of coding genes as well as miRNA and methylation data for B4GALNT2 were downloaded from TCGA. Results: the prognostic potential of B4GALNT2 was the best among the glycosyltransferases tested and better than that of many oncogenes and tumor suppressor genes; high B4GALNT2 expression was associated with a lower malignancy gene expression profile; differential methylation of an intronic B4GALNT2 gene position and miR-204-5p expression play major roles in B4GALNT2 regulation. Conclusions: high B4GALNT2 expression is a strong predictor of good prognosis in CRC as a part of a wider molecular signature that includes ZG16, ITLN1, BEST2, and Citation: Pucci, M.; Malagolini, N.; GUCA2B. Differential DNA methylation and miRNA expression contribute to regulating B4GALNT2 Dall’Olio, F.