Identification of Gene-Oriented Exon Orthology Between Human and Mouse
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
A Chromosome Level Genome of Astyanax Mexicanus Surface Fish for Comparing Population
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.06.189654; this version posted July 6, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. 1 Title 2 A chromosome level genome of Astyanax mexicanus surface fish for comparing population- 3 specific genetic differences contributing to trait evolution. 4 5 Authors 6 Wesley C. Warren1, Tyler E. Boggs2, Richard Borowsky3, Brian M. Carlson4, Estephany 7 Ferrufino5, Joshua B. Gross2, LaDeana Hillier6, Zhilian Hu7, Alex C. Keene8, Alexander Kenzior9, 8 Johanna E. Kowalko5, Chad Tomlinson10, Milinn Kremitzki10, Madeleine E. Lemieux11, Tina 9 Graves-Lindsay10, Suzanne E. McGaugh12, Jeff T. Miller12, Mathilda Mommersteeg7, Rachel L. 10 Moran12, Robert Peuß9, Edward Rice1, Misty R. Riddle13, Itzel Sifuentes-Romero5, Bethany A. 11 Stanhope5,8, Clifford J. Tabin13, Sunishka Thakur5, Yamamoto Yoshiyuki14, Nicolas Rohner9,15 12 13 Authors for correspondence: Wesley C. Warren ([email protected]), Nicolas Rohner 14 ([email protected]) 15 16 Affiliation 17 1Department of Animal Sciences, Department of Surgery, Institute for Data Science and 18 Informatics, University of Missouri, Bond Life Sciences Center, Columbia, MO 19 2 Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 20 3 Department of Biology, New York University, New York, NY 21 4 Department of Biology, The College of Wooster, Wooster, OH 22 5 Harriet L. Wilkes Honors College, Florida Atlantic University, Jupiter FL 23 6 Department of Genome Sciences, University of Washington, Seattle, WA 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.06.189654; this version posted July 6, 2020. -
Supplementary Tables S1-S3
Supplementary Table S1: Real time RT-PCR primers COX-2 Forward 5’- CCACTTCAAGGGAGTCTGGA -3’ Reverse 5’- AAGGGCCCTGGTGTAGTAGG -3’ Wnt5a Forward 5’- TGAATAACCCTGTTCAGATGTCA -3’ Reverse 5’- TGTACTGCATGTGGTCCTGA -3’ Spp1 Forward 5'- GACCCATCTCAGAAGCAGAA -3' Reverse 5'- TTCGTCAGATTCATCCGAGT -3' CUGBP2 Forward 5’- ATGCAACAGCTCAACACTGC -3’ Reverse 5’- CAGCGTTGCCAGATTCTGTA -3’ Supplementary Table S2: Genes synergistically regulated by oncogenic Ras and TGF-β AU-rich probe_id Gene Name Gene Symbol element Fold change RasV12 + TGF-β RasV12 TGF-β 1368519_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 42.22 5.53 75.28 1373000_at sushi-repeat-containing protein, X-linked 2 (predicted) Srpx2 19.24 25.59 73.63 1383486_at Transcribed locus --- ARE 5.93 27.94 52.85 1367581_a_at secreted phosphoprotein 1 Spp1 2.46 19.28 49.76 1368359_a_at VGF nerve growth factor inducible Vgf 3.11 4.61 48.10 1392618_at Transcribed locus --- ARE 3.48 24.30 45.76 1398302_at prolactin-like protein F Prlpf ARE 1.39 3.29 45.23 1392264_s_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 24.92 3.67 40.09 1391022_at laminin, beta 3 Lamb3 2.13 3.31 38.15 1384605_at Transcribed locus --- 2.94 14.57 37.91 1367973_at chemokine (C-C motif) ligand 2 Ccl2 ARE 5.47 17.28 37.90 1369249_at progressive ankylosis homolog (mouse) Ank ARE 3.12 8.33 33.58 1398479_at ryanodine receptor 3 Ryr3 ARE 1.42 9.28 29.65 1371194_at tumor necrosis factor alpha induced protein 6 Tnfaip6 ARE 2.95 7.90 29.24 1386344_at Progressive ankylosis homolog (mouse) -
The Consensus Coding Sequences of Human Breast and Colorectal Cancers Tobias Sjöblom,1* Siân Jones,1* Laura D
The Consensus Coding Sequences of Human Breast and Colorectal Cancers Tobias Sjöblom,1* Siân Jones,1* Laura D. Wood,1* D. Williams Parsons,1* Jimmy Lin,1 Thomas Barber,1 Diana Mandelker,1 Rebecca J. Leary,1 Janine Ptak,1 Natalie Silliman,1 Steve Szabo,1 Phillip Buckhaults,2 Christopher Farrell,2 Paul Meeh,2 Sanford D. Markowitz,3 Joseph Willis,4 Dawn Dawson,4 James K. V. Willson,5 Adi F. Gazdar,6 James Hartigan,7 Leo Wu,8 Changsheng Liu,8 Giovanni Parmigiani,9 Ben Ho Park,10 Kurtis E. Bachman,11 Nickolas Papadopoulos,1 Bert Vogelstein,1† Kenneth W. Kinzler,1† Victor E. Velculescu1† 1Ludwig Center and Howard Hughes Medical Institute, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD 21231, USA. 2Department of Pathology and Microbiology, Center for Colon Cancer Research, and South Carolina Cancer Center, Division of Basic Research, University of South Carolina School of Medicine, Columbia, SC 29229, USA. 3Department of Medicine, Ireland Cancer Center, and Howard Hughes Medical Institute, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH 44106, USA. 4Department of Pathology and Ireland Cancer Center, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH 44106, USA. 5Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. 6Hamon Center for Therapeutic Oncology Research and Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. 7Agencourt Bioscience Corporation, Beverly, MA 01915, USA. 8SoftGenetics LLC, State College, PA 16803, USA. 9Departments of Oncology, Biostatistics, and Pathology, Johns Hopkins Medical Institutions, Baltimore, MD 21205, USA. -
Novel Genes Associated with Colorectal Cancer Are Revealed by High Resolution Cytogenetic Analysis in a Patient Specific Manner
Novel Genes Associated with Colorectal Cancer Are Revealed by High Resolution Cytogenetic Analysis in a Patient Specific Manner Hisham Eldai1., Sathish Periyasamy1., Saeed Al Qarni2, Maha Al Rodayyan2, Sabeena Muhammed Mustafa1, Ahmad Deeb3, Ebthehal Al Sheikh2, Mohammed Afzal Khan4, Mishal Johani5, Zeyad Yousef6, Mohammad Azhar Aziz2*. 1 Bioinformatics, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia, 2 Medical Biotechnology, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia, 3 Research Office, King Abdullah International Medical Research Center, Riyadh, Saudi Arabia, 4 Anatomic pathology, National Guard Health Affairs, Riyadh, Saudi Arabia, 5 Endoscopy, National Guard Health Affairs, Riyadh, Saudi Arabia, 6 Surgery, National Guard Health Affairs, Riyadh, Saudi Arabia Abstract Genomic abnormalities leading to colorectal cancer (CRC) include somatic events causing copy number aberrations (CNAs) as well as copy neutral manifestations such as loss of heterozygosity (LOH) and uniparental disomy (UPD). We studied the causal effect of these events by analyzing high resolution cytogenetic microarray data of 15 tumor-normal paired samples. We detected 144 genes affected by CNAs. A subset of 91 genes are known to be CRC related yet high GISTIC scores indicate 24 genes on chromosomes 7, 8, 18 and 20 to be strongly relevant. Combining GISTIC ranking with functional analyses and degree of loss/gain we identify three genes in regions of significant loss (ATP8B1, NARS, and ATP5A1) and eight in regions of gain (CTCFL, SPO11, ZNF217, PLEKHA8, HOXA3, GPNMB, IGF2BP3 and PCAT1) as novel in their association with CRC. Pathway and target prediction analysis of CNA affected genes and microRNAs, respectively indicates TGF-b signaling pathway to be involved in causing CRC. -
Supplemental Data Inter-Individual Variability in Gene Expression
DMD #42028 Supplemental data Inter-individual variability in gene expression profiles in human hepatocytes and comparison with HepaRG cells Alexandra ROGUE, Carine LAMBERT, Catherine SPIRE, Nancy CLAUDE and André GUILLOUZO Drug and metabolism disposition Supplemental Table 3: Genes expressed only in HepaRG cells located on the chromosome 7 Gene symbol Gene description SEPT13 septin 13 SEPT14 hCG_18833 ACHE acetylcholinesterase (Yt blood group) AMPH amphiphysin ANKIB1 ankyrin repeat and IBR domain containing 1 ANKMY2 ankyrin repeat and MYND domain containing 2 ANLN anillin, actin binding protein AP1S1 adaptor-related protein complex 1, sigma 1 subunit ATXN7L1 ataxin 7-like 1 C1GALT1 core 1 synthase, glycoprotein-N-acetylgalactosamine 3-beta-galactosyltransferase, 1 C7orf31 hCG_39028 C7orf38 chromosome 7 open reading frame 38 C7orf41 chromosome 7 open reading frame 41 C7orf53 chromosome 7 open reading frame 53 CADPS2 Ca++-dependent secretion activator 2 CALCR calcitonin receptor CALN1 calneuron 1 CASD1 CAS1 domain containing 1 CBLL1 Cas-Br-M (murine) ecotropic retroviral transforming sequence-like 1 CCDC132 coiled-coil domain containing 132 CD36 CD36 molecule (thrombospondin receptor) CDC14C CDC14 cell division cycle 14 homolog C (S. cerevisiae) CHN2 chimerin (chimaerin) 2 CHRM2 cholinergic receptor, muscarinic 2 CLDN15 claudin 15 CLIP2 CAP-GLY domain containing linker protein 2 CNPY4 canopy 4 homolog (zebrafish) COX19 COX19 cytochrome c oxidase assembly homolog (S. cerevisiae) CROT carnitine O-octanoyltransferase DBF4 DBF4 homolog (S. cerevisiae) -
1 the Identification of Colorectal Cancer Susceptibility Genes Using
The Identification of Colorectal Cancer Susceptibility Genes Using a Cross-Species, Systems Genetics Approach DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Madelyn Margaret Gerber Graduate Program in Biomedical Sciences The Ohio State University 2015 Dissertation Committee: Amanda Ewart Toland, PhD, Advisor Joanna Groden, PhD Jeffrey Parvin, MD, PhD Wolfgang Sadee, Dr.rer.nat. 1 Copyright by Madelyn Margaret Gerber 2015 2 Abstract Colorectal cancer (CRC) is the third most commonly diagnosed and third leading cause of cancer-related death in the United States. As much as 35% of risk for developing this disease is due to genetic risk factors. Genome-wide association studies (GWAS) have identified ~40 independent common risk variants that contribute to genetic predisposition. However, these variants fail to explain the majority of the genetic component for risk. Identification of additional susceptibility alleles for CRC is critical for developing genetic screening tools capable of predicting individuals at heightened genetic risk. This dissertation describes three projects aimed at uncovering CRC susceptibility genes using a cross-species systems genetics approach. The first project (Chapter 2) involves assessing single nucleotide polymorphisms (SNPs) at loci that were linked to CRC risk by GWAS for allele-specific somatic copy number gains or losses in human colorectal tumor genomes. We hypothesized that GWAS-identified SNPs exhibit allele-specific copy number changes (termed ‗allele- specific imbalance,‘ or ASI) in the tumor genome of patient specimens in much the same fashion as oncogenes are amplified and tumor suppressors are lost. -
Copy Number Variation-Based Genome Wide Association Study
www.nature.com/scientificreports OPEN Copy number variation-based genome wide association study reveals additional variants Received: 27 March 2015 Accepted: 02 July 2015 contributing to meat quality in Published: 03 August 2015 Swine Ligang Wang1,*, Lingyang Xu1,2,*, Xin Liu1,*, Tian Zhang1, Na Li1,3, El Hamidi Hay2, Yuebo Zhang1, Hua Yan1, Kebin Zhao1, George E Liu2,*, Longchao Zhang1,* & Lixian Wang1,* Pork quality is important both to the meat processing industry and consumers’ purchasing attitude. Copy number variation (CNV) is a burgeoning kind of variants that may influence meat quality. In this study, a genome-wide association study (GWAS) was performed between CNVs and meat quality traits in swine. After false discovery rate (FDR) correction, a total of 8 CNVs on 6 chromosomes were identified to be significantly associated with at least one meat quality trait. All of the 8 CNVs were verified by next generation sequencing and six of them were verified by qPCR. Only the haplotype block containing CNV12 is adjacent to significant SNPs associated with meat quality, suggesting the effects of those CNVs were not likely captured by tag SNPs. The DNA dosage and EST expression of CNV12, which overlap with an obesity related gene Netrin-1 (Ntn1), were consistent with Ntn1 RNA expression, suggesting the CNV12 might be involved in the expression regulation of Ntn1 and finally influence meat quality. We concluded that CNVs may contribute to the genetic variations of meat quality beyond SNPs, and several candidate CNVs were worth further exploration. As a global food source, pork has unquestionable significant implications on the livelihood of human beings. -
1 Imipramine Treatment and Resiliency Exhibit Similar
Imipramine Treatment and Resiliency Exhibit Similar Chromatin Regulation in the Mouse Nucleus Accumbens in Depression Models Wilkinson et al. Supplemental Material 1. Supplemental Methods 2. Supplemental References for Tables 3. Supplemental Tables S1 – S24 SUPPLEMENTAL TABLE S1: Genes Demonstrating Increased Repressive DimethylK9/K27-H3 Methylation in the Social Defeat Model (p<0.001) SUPPLEMENTAL TABLE S2: Genes Demonstrating Decreased Repressive DimethylK9/K27-H3 Methylation in the Social Defeat Model (p<0.001) SUPPLEMENTAL TABLE S3: Genes Demonstrating Increased Repressive DimethylK9/K27-H3 Methylation in the Social Isolation Model (p<0.001) SUPPLEMENTAL TABLE S4: Genes Demonstrating Decreased Repressive DimethylK9/K27-H3 Methylation in the Social Isolation Model (p<0.001) SUPPLEMENTAL TABLE S5: Genes Demonstrating Common Altered Repressive DimethylK9/K27-H3 Methylation in the Social Defeat and Social Isolation Models (p<0.001) SUPPLEMENTAL TABLE S6: Genes Demonstrating Increased Repressive DimethylK9/K27-H3 Methylation in the Social Defeat and Social Isolation Models (p<0.001) SUPPLEMENTAL TABLE S7: Genes Demonstrating Decreased Repressive DimethylK9/K27-H3 Methylation in the Social Defeat and Social Isolation Models (p<0.001) SUPPLEMENTAL TABLE S8: Genes Demonstrating Increased Phospho-CREB Binding in the Social Defeat Model (p<0.001) SUPPLEMENTAL TABLE S9: Genes Demonstrating Decreased Phospho-CREB Binding in the Social Defeat Model (p<0.001) SUPPLEMENTAL TABLE S10: Genes Demonstrating Increased Phospho-CREB Binding in the Social -
Genetic Basis of Lactation and Lactation Efficiency in Pigs Dinesh Moorkattukara Thekkoot Iowa State University
Iowa State University Capstones, Theses and Graduate Theses and Dissertations Dissertations 2014 Genetic basis of lactation and lactation efficiency in pigs Dinesh Moorkattukara Thekkoot Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/etd Part of the Agriculture Commons, and the Animal Sciences Commons Recommended Citation Moorkattukara Thekkoot, Dinesh, "Genetic basis of lactation and lactation efficiency in pigs" (2014). Graduate Theses and Dissertations. 14217. https://lib.dr.iastate.edu/etd/14217 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. Genetic basis of lactation and lactation efficiency in pigs by Dinesh Moorkattukara Thekkoot A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Animal Breeding and Genetics (Quantitative Genetics) Program of Study Committee: Jack C. M. Dekkers, Major Professor Max F. Rothschild Dorian J. Garrick Kenneth J. Stalder Kenneth J. Koehler Iowa State University Ames, Iowa 2014 Copyright © Dinesh Moorkattukara Thekkoot, 2014. All rights reserved. ii TABLE OF CONTENTS Page LIST OF FIGURES iv LIST OF TABLES vii ACKNOWLEDGEMENTS xii ABSTRACT xiii CHAPTER 1. GENERAL INTRODUCTION 1 Introduction 1 Dissertation Organization 4 Review of Literature 5 Conclusion 16 Literature Cited 17 CHAPTER 2. ESTIMATION OF GENETIC PARAMETERS FOR TRAITS ASSOCIATED WITH REPRODUCTION, LACTATION AND EFFICIENCY IN SOWS 22 Abstract 22 Introduction 23 Materials and Methods 24 Results 36 Discussion 50 Conclusion 66 Literature Cited 67 Supplementary Materials 72 CHAPTER 3. -
Mouse Plekha8 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Plekha8 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Plekha8 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Plekha8 gene (NCBI Reference Sequence: NM_001164361 ; Ensembl: ENSMUSG00000005225 ) is located on Mouse chromosome 6. 14 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 14 (Transcript: ENSMUST00000119706). Exon 5~6 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Plekha8 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-3I1 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 5 starts from about 28.2% of the coding region. The knockout of Exon 5~6 will result in frameshift of the gene. The size of intron 4 for 5'-loxP site insertion: 2436 bp, and the size of intron 6 for 3'-loxP site insertion: 1808 bp. The size of effective cKO region: ~1619 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 5 6 7 14 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Plekha8 Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Kinetics of the Chromosome 14 Microrna Cluster Ortholog and Its
Dini et al. BMC Genomics (2018) 19:954 https://doi.org/10.1186/s12864-018-5341-2 RESEARCH ARTICLE Open Access Kinetics of the chromosome 14 microRNA cluster ortholog and its potential role during placental development in the pregnant mare Pouya Dini1,2, Peter Daels1, Shavahn C. Loux2, Alejandro Esteller-Vico2, Mariano Carossino2, Kirsten E. Scoggin2 and Barry A. Ball2* Abstract Background: The human chromosome 14 microRNA cluster (C14MC) is a conserved microRNA (miRNA) cluster across eutherian mammals, reported to play an important role in placental development. However, the expression kinetics and function of this cluster in the mammalian placenta are poorly understood. Here, we evaluated the expression kinetics of the equine C24MC, ortholog to the human C14MC, in the chorioallantoic membrane during the course of gestation. Results: We demonstrated that C24MC-associated miRNAs presented a higher expression level during early stages of pregnancy, followed by a decline later in gestation. Evaluation of one member of C24MC (miR-409-3p) by in situ hybridization demonstrated that its cellular localization predominantly involved the chorion and allantoic epithelium and vascular endothelium. Additionally, expression of predicted target transcripts for C24MC-associated miRNAs was evaluated by RNA sequencing. Expression analysis of a subset of predicted mRNA targets showed a negative correlation with C24MC-associated miRNAs expression levels during gestation, suggesting the reciprocal control of these target transcripts by this miRNA cluster. Predicted functional analysis of these target mRNAs indicated enrichment of biological pathways related to embryonic development, endothelial cell migration and angiogenesis. Expression patterns of selected target mRNAs involved in angiogenesis were confirmed by RT-qPCR. -
A Novel Gene Complementing Resistance to Bordetella
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.18.456822; this version posted August 18, 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. GENETIC ANALYSIS OF BPHSE: A NOVEL GENE COMPLEMENTING RESISTANCE TO BORDETELLA PERTUSSIS-INDUCED HISTAMINE SENSITIZATION Abbas Raza1, Sean A. Diehl2, Laure K. Case3, Dimitry N. Krementsov4, Dawei Li2, Jason Kost2, Robyn L. Ball3, Elissa J. Chesler3, Vivek M. Philip3, Rui Huang5, Yan Chen5, Runlin Ma5, Anna L. Tyler3, J. Mathew Mahoney3,6, Elizabeth P. Blankenhorn7, and Cory Teuscher1,8,* Departments of Medicine1, Microbiology and Molecular Genetics2, Biomedical and Health Sciences4, Neurological Sciences6, Pathology and Laboratory Medicine8, University of Vermont, Burlington, VT, USA 05405 The Jackson Laboratory3, Bar Harbor, Maine, USA 04609 School of Life Sciences5, University of the Chinese Academy of Sciences, Beijing, China 100049 Department of Microbiology and Immunology7, Drexel University College of Medicine, Philadelphia, Pennsylvania, USA 19129 *Address correspondence to: Cory Teuscher, PhD C331 Given Medical Building 89 Beaumont Avenue University of Vermont Burlington, Vermont, 05405, USA E-mail: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.08.18.456822; this version posted August 18, 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.