Genome-Wide Identification and Analysis of Mirnas Complementary to Upstream Sequences of Mrna Transcription Start Sites
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Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice
Loyola University Chicago Loyola eCommons Biology: Faculty Publications and Other Works Faculty Publications 2013 Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice Mihaela Palicev Gunter P. Wagner James P. Noonan Benedikt Hallgrimsson James M. Cheverud Loyola University Chicago, [email protected] Follow this and additional works at: https://ecommons.luc.edu/biology_facpubs Part of the Biology Commons Recommended Citation Palicev, M, GP Wagner, JP Noonan, B Hallgrimsson, and JM Cheverud. "Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice." Genome Biology and Evolution 5(10), 2013. This Article is brought to you for free and open access by the Faculty Publications at Loyola eCommons. It has been accepted for inclusion in Biology: Faculty Publications and Other Works by an authorized administrator of Loyola eCommons. For more information, please contact [email protected]. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. © Palicev et al., 2013. GBE Genomic Correlates of Relationship QTL Involved in Fore- versus Hind Limb Divergence in Mice Mihaela Pavlicev1,2,*, Gu¨ nter P. Wagner3, James P. Noonan4, Benedikt Hallgrı´msson5,and James M. Cheverud6 1Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria 2Department of Pediatrics, Cincinnati Children‘s Hospital Medical Center, Cincinnati, Ohio 3Yale Systems Biology Institute and Department of Ecology and Evolutionary Biology, Yale University 4Department of Genetics, Yale University School of Medicine 5Department of Cell Biology and Anatomy, The McCaig Institute for Bone and Joint Health and the Alberta Children’s Hospital Research Institute for Child and Maternal Health, University of Calgary, Calgary, Canada 6Department of Anatomy and Neurobiology, Washington University *Corresponding author: E-mail: [email protected]. -
Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
Supplementary Information Integrative Analyses of Splicing in the Aging Brain: Role in Susceptibility to Alzheimer’S Disease
Supplementary Information Integrative analyses of splicing in the aging brain: role in susceptibility to Alzheimer’s Disease Contents 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project 1.2. Mount Sinai Brain Bank Alzheimer’s Disease 1.3. CommonMind Consortium 1.4. Data Availability 2. Supplementary Tables 3. Supplementary Figures Note: Supplementary Tables are provided as separate Excel files. 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project Gene expression data1. Gene expression data were generated using RNA- sequencing from Dorsolateral Prefrontal Cortex (DLPFC) of 540 individuals, at an average sequence depth of 90M reads. Detailed description of data generation and processing was previously described2 (Mostafavi, Gaiteri et al., under review). Samples were submitted to the Broad Institute’s Genomics Platform for transcriptome analysis following the dUTP protocol with Poly(A) selection developed by Levin and colleagues3. All samples were chosen to pass two initial quality filters: RNA integrity (RIN) score >5 and quantity threshold of 5 ug (and were selected from a larger set of 724 samples). Sequencing was performed on the Illumina HiSeq with 101bp paired-end reads and achieved coverage of 150M reads of the first 12 samples. These 12 samples will serve as a deep coverage reference and included 2 males and 2 females of nonimpaired, mild cognitive impaired, and Alzheimer's cases. The remaining samples were sequenced with target coverage of 50M reads; the mean coverage for the samples passing QC is 95 million reads (median 90 million reads). The libraries were constructed and pooled according to the RIN scores such that similar RIN scores would be pooled together. -
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. -
Title: Therapeutic Potential of HSP90 Inhibition for Neurofibromatosis Type 2
Author Manuscript Published OnlineFirst on May 28, 2013; DOI: 10.1158/1078-0432.CCR-12-3167 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Title: Therapeutic Potential of HSP90 Inhibition for Neurofibromatosis type 2 Karo Tanaka1, Ascia Eskin3, Fabrice Chareyre1, Walter J. Jessen4, Jan Manent5, Michiko Niwa-Kawakita6, Ruihong Chen7, Cory H. White2, Jeremie Vitte1, Zahara M. Jaffer1, Stanley F. Nelson3, Allan E. Rubenstein8, Marco Giovannini1,9§. Authors’ affiliations: House Research Institute, 1Center for Neural Tumor Research and 2Section on Genetics of Hereditary Ear Disorders, Los Angeles, CA; 3Department of Human Genetics, University of California, Los Angeles, CA; 4Informatics, Covance Inc., Princeton, NJ; 5Peter MacCallum Cancer Institute, Melbourne, Australia; 6Inserm U944, CNRS U7212, Université Paris, Institut Universitaire d'Hématologie, Paris, France; 7NexGenix Pharmaceuticals, Burlingame, CA; and 8New York University Langone Medical Center, New York, NY; and Department of Cell and Neurobiology, University of Southern California, Keck School of Medicine, Los Angeles, CA Running title: HSP90 Inhibition for NF2 Keywords: NF2, HSP90 inhibitors, Transcriptome Financial support: This work was supported by a Drug Discovery Initiative Award, Children’s Tumor Foundation, to M.G., and by the House Research Institute. Corresponding author: Marco Giovannini, House Research Institute, Center for Neural Tumor Research, 2100 West 3rd street, Los Angeles, CA90057. Phone: +1-213-989-6708; Fax: +1-213-989-6778; E-mail: [email protected] 1 Downloaded from clincancerres.aacrjournals.org on September 30, 2021. © 2013 American Association for Cancer Research. Author Manuscript Published OnlineFirst on May 28, 2013; DOI: 10.1158/1078-0432.CCR-12-3167 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. -
CDC23 (NM 004661) Human Tagged ORF Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC224973L3 CDC23 (NM_004661) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: CDC23 (NM_004661) Human Tagged ORF Clone Tag: Myc-DDK Symbol: CDC23 Synonyms: ANAPC8; APC8; CUT23 Vector: pLenti-C-Myc-DDK-P2A-Puro (PS100092) E. coli Selection: Chloramphenicol (34 ug/mL) Cell Selection: Puromycin ORF Nucleotide The ORF insert of this clone is exactly the same as(RC224973). Sequence: Restriction Sites: SgfI-MluI Cloning Scheme: ACCN: NM_004661 ORF Size: 1791 bp This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 CDC23 (NM_004661) Human Tagged ORF Clone – RC224973L3 OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_004661.3 RefSeq Size: 3169 bp RefSeq ORF: 1794 bp Locus ID: 8697 UniProt ID: Q9UJX2 Domains: TPR, APC8 Protein Families: Druggable Genome Protein Pathways: Cell cycle, Oocyte meiosis, Progesterone-mediated oocyte maturation, Ubiquitin mediated proteolysis MW: 68.7 kDa Gene Summary: The protein encoded by this gene shares strong similarity with Saccharomyces cerevisiae Cdc23, a protein essential for cell cycle progression through the G2/M transition. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
The Genome of Schmidtea Mediterranea and the Evolution Of
OPEN ArtICLE doi:10.1038/nature25473 The genome of Schmidtea mediterranea and the evolution of core cellular mechanisms Markus Alexander Grohme1*, Siegfried Schloissnig2*, Andrei Rozanski1, Martin Pippel2, George Robert Young3, Sylke Winkler1, Holger Brandl1, Ian Henry1, Andreas Dahl4, Sean Powell2, Michael Hiller1,5, Eugene Myers1 & Jochen Christian Rink1 The planarian Schmidtea mediterranea is an important model for stem cell research and regeneration, but adequate genome resources for this species have been lacking. Here we report a highly contiguous genome assembly of S. mediterranea, using long-read sequencing and a de novo assembler (MARVEL) enhanced for low-complexity reads. The S. mediterranea genome is highly polymorphic and repetitive, and harbours a novel class of giant retroelements. Furthermore, the genome assembly lacks a number of highly conserved genes, including critical components of the mitotic spindle assembly checkpoint, but planarians maintain checkpoint function. Our genome assembly provides a key model system resource that will be useful for studying regeneration and the evolutionary plasticity of core cell biological mechanisms. Rapid regeneration from tiny pieces of tissue makes planarians a prime De novo long read assembly of the planarian genome model system for regeneration. Abundant adult pluripotent stem cells, In preparation for genome sequencing, we inbred the sexual strain termed neoblasts, power regeneration and the continuous turnover of S. mediterranea (Fig. 1a) for more than 17 successive sib- mating of all cell types1–3, and transplantation of a single neoblast can rescue generations in the hope of decreasing heterozygosity. We also developed a lethally irradiated animal4. Planarians therefore also constitute a a new DNA isolation protocol that meets the purity and high molecular prime model system for stem cell pluripotency and its evolutionary weight requirements of PacBio long-read sequencing12 (Extended Data underpinnings5. -
Origin of a Folded Repeat Protein from an Intrinsically Disordered Ancestor
RESEARCH ARTICLE Origin of a folded repeat protein from an intrinsically disordered ancestor Hongbo Zhu, Edgardo Sepulveda, Marcus D Hartmann, Manjunatha Kogenaru†, Astrid Ursinus, Eva Sulz, Reinhard Albrecht, Murray Coles, Jo¨ rg Martin, Andrei N Lupas* Department of Protein Evolution, Max Planck Institute for Developmental Biology, Tu¨ bingen, Germany Abstract Repetitive proteins are thought to have arisen through the amplification of subdomain- sized peptides. Many of these originated in a non-repetitive context as cofactors of RNA-based replication and catalysis, and required the RNA to assume their active conformation. In search of the origins of one of the most widespread repeat protein families, the tetratricopeptide repeat (TPR), we identified several potential homologs of its repeated helical hairpin in non-repetitive proteins, including the putatively ancient ribosomal protein S20 (RPS20), which only becomes structured in the context of the ribosome. We evaluated the ability of the RPS20 hairpin to form a TPR fold by amplification and obtained structures identical to natural TPRs for variants with 2–5 point mutations per repeat. The mutations were neutral in the parent organism, suggesting that they could have been sampled in the course of evolution. TPRs could thus have plausibly arisen by amplification from an ancestral helical hairpin. DOI: 10.7554/eLife.16761.001 *For correspondence: andrei. [email protected] Introduction † Present address: Department Most present-day proteins arose through the combinatorial shuffling and differentiation of a set of of Life Sciences, Imperial College domain prototypes. In many cases, these prototypes can be traced back to the root of cellular life London, London, United and have since acted as the primary unit of protein evolution (Anantharaman et al., 2001; Kingdom Apic et al., 2001; Koonin, 2003; Kyrpides et al., 1999; Orengo and Thornton, 2005; Ponting and Competing interests: The Russell, 2002; Ranea et al., 2006). -
Supp Table 6.Pdf
Supplementary Table 6. Processes associated to the 2037 SCL candidate target genes ID Symbol Entrez Gene Name Process NM_178114 AMIGO2 adhesion molecule with Ig-like domain 2 adhesion NM_033474 ARVCF armadillo repeat gene deletes in velocardiofacial syndrome adhesion NM_027060 BTBD9 BTB (POZ) domain containing 9 adhesion NM_001039149 CD226 CD226 molecule adhesion NM_010581 CD47 CD47 molecule adhesion NM_023370 CDH23 cadherin-like 23 adhesion NM_207298 CERCAM cerebral endothelial cell adhesion molecule adhesion NM_021719 CLDN15 claudin 15 adhesion NM_009902 CLDN3 claudin 3 adhesion NM_008779 CNTN3 contactin 3 (plasmacytoma associated) adhesion NM_015734 COL5A1 collagen, type V, alpha 1 adhesion NM_007803 CTTN cortactin adhesion NM_009142 CX3CL1 chemokine (C-X3-C motif) ligand 1 adhesion NM_031174 DSCAM Down syndrome cell adhesion molecule adhesion NM_145158 EMILIN2 elastin microfibril interfacer 2 adhesion NM_001081286 FAT1 FAT tumor suppressor homolog 1 (Drosophila) adhesion NM_001080814 FAT3 FAT tumor suppressor homolog 3 (Drosophila) adhesion NM_153795 FERMT3 fermitin family homolog 3 (Drosophila) adhesion NM_010494 ICAM2 intercellular adhesion molecule 2 adhesion NM_023892 ICAM4 (includes EG:3386) intercellular adhesion molecule 4 (Landsteiner-Wiener blood group)adhesion NM_001001979 MEGF10 multiple EGF-like-domains 10 adhesion NM_172522 MEGF11 multiple EGF-like-domains 11 adhesion NM_010739 MUC13 mucin 13, cell surface associated adhesion NM_013610 NINJ1 ninjurin 1 adhesion NM_016718 NINJ2 ninjurin 2 adhesion NM_172932 NLGN3 neuroligin -
Whole Genome Sequencing of Finnish Type 1 Diabetic Siblings Discordant for Kidney Disease Reveals DNA Variants Associated with Diabetic Nephropathy
Supplementary Data Whole genome sequencing of Finnish type 1 diabetic siblings discordant for kidney disease reveals DNA variants associated with diabetic nephropathy Jing Guo, Owen J.L. Rackham, Bing He, Anne-May Österholm, Niina Sandholm, Erkka Valo, Valma Harjutsalo, Carol Forsblom, Iiro Toppila, Maikki Parkkonen, Qibin Li, Wenjuan Zhu, Nathan Harmston, Sonia Chothani, Miina K. Öhman, Eudora Eng, Yang Sun, Enrico Petretto, Per-Henrik Groop, Karl Tryggvason Supplementary Material: Whole Genome Sequencing on Finnish Diabetic Nephropathy Sibling cohort Table of contents Supplementary Methods ............................................................ 3 Supplementary Results .............................................................. 9 Supplementary Tables ............................................................. 11 Supplementary Table 1. Comparison of DNA sequencing quality using the Illumina and Complete Genomics platforms. ......................................................................11 Supplementary Table 2. Annotation of SNVs and indels identified in 161 genomes in the Discovery cohort by RefSeq. ......................................................................12 Supplementary Table 3. Frameshift-causing small insertions and deletions (indels) found in DN cases-only or controls-only individuals of the Finnish T1D DSP discovery cohort ...................................................................................................13 Supplementary Table 4. Recurrently mutated regions (RMR) significantly overrepresented -
A Genome-Wide Association Study of Idiopathic Dilated Cardiomyopathy in African Americans
Journal of Personalized Medicine Article A Genome-Wide Association Study of Idiopathic Dilated Cardiomyopathy in African Americans Huichun Xu 1,* ID , Gerald W. Dorn II 2, Amol Shetty 3, Ankita Parihar 1, Tushar Dave 1, Shawn W. Robinson 4, Stephen S. Gottlieb 4 ID , Mark P. Donahue 5, Gordon F. Tomaselli 6, William E. Kraus 5,7 ID , Braxton D. Mitchell 1,8 and Stephen B. Liggett 9,* 1 Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA; [email protected] (A.P.); [email protected] (T.D.); [email protected] (B.D.M.) 2 Center for Pharmacogenomics, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO 63110, USA; [email protected] 3 Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD 21201, USA; [email protected] 4 Division of Cardiovascular Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA; [email protected] (S.W.R.); [email protected] (S.S.G.) 5 Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC 27708, USA; [email protected] (M.P.D.); [email protected] (W.E.K.) 6 Department of Medicine, Division of Cardiology, Johns Hopkins University, Baltimore, MD 21218, USA; [email protected] 7 Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA 8 Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration