The Driver of Extreme Human-Specific Olduvai Repeat Expansion Remains Highly Active in the Human

Total Page:16

File Type:pdf, Size:1020Kb

The Driver of Extreme Human-Specific Olduvai Repeat Expansion Remains Highly Active in the Human Genetics: Early Online, published on November 22, 2019 as 10.1534/genetics.119.302782 1 The Driver of Extreme Human-Specific Olduvai Repeat Expansion Remains Highly Active in the Human 2 Genome 3 Ilea E. Heft,1,* Yulia Mostovoy,2,* Michal Levy-Sakin,2 Walfred Ma,2 Aaron J. Stevens,3 Steven 4 Pastor,4 Jennifer McCaffrey,4 Dario Boffelli,5 David I. Martin,5 Ming Xiao,4 Martin A. Kennedy,3 5 Pui-Yan Kwok,2,6,7 and James M. Sikela1 6 7 1Department of Biochemistry and Molecular Genetics, and Human Medical Genetics and 8 Genomics Program, University of Colorado School of Medicine, Aurora CO 80045 9 2Cardiovascular Research Institute, 6Department of Dermatology, and 7Institute for Human 10 Genetics, University of California, San Francisco, San Francisco, CA, USA 11 3Department of Pathology, University of Otago, Christchurch, New Zealand 8140 12 4School of Biomedical Engineering, Drexel University, Philadelphia, PA 19104 13 5Children's Hospital Oakland Research Institute, Oakland, CA, 94609 14 15 Corresponding author: James M. Sikela: [email protected] 16 *Ilea E. Heft and Yulia Mostovoy contributed equally to this article. 17 1 Copyright 2019. 18 Abstract 19 Sequences encoding Olduvai protein domains (formerly DUF1220) show the greatest 20 human lineage-specific increase in copy number of any coding region in the genome and have 21 been associated, in a dosage-dependent manner, with brain size, cognitive aptitude, autism, 22 and schizophrenia. Tandem intragenic duplications of a three-domain block, termed the Olduvai 23 triplet, in four NBPF genes in the chromosomal 1q21.1-.2 region are primarily responsible for 24 the striking human-specific copy number increase. Interestingly, most of the Olduvai triplets are 25 adjacent to, and transcriptionally co-regulated with, three human-specific NOTCH2NL genes 26 that have been shown to promote cortical neurogenesis. Until now, the underlying genomic 27 events that drove the Olduvai hyper-amplification in humans have remained unexplained. Here, 28 we show that the presence or absence of an alternative first exon of the Olduvai triplet 29 perfectly discriminates between amplified (58/58) and unamplified (0/12) triplets. We provide 30 sequence and breakpoint analyses that suggest the alternative exon was produced by an NAHR- 31 based mechanism involving the duplicative transposition of an existing Olduvai exon found in 32 the CON3 domain that typically occurs at the carboxy end of NBPF genes. We also provide 33 suggestive in vitro evidence that the alternative exon may promote instability through a 34 putative G-quadraplex-based (pG4) mechanism. Lastly, we use single-molecule optical mapping 35 to characterize the intragenic structural variation observed in NBPF genes in 154 unrelated 36 individuals and 52 related individuals from 16 families and show that the presence of pG4- 37 containing Olduvai triplets is strongly correlated with high levels of Olduvai copy number 38 variation. These results suggest that the same driver of genomic instability that allowed the 2 39 evolutionarily recent, rapid, and extreme human-specific Olduvai expansion remains highly 40 active in the human genome. 41 Introduction 42 Sequences encoding Olduvai protein domains (formerly DUF1220) (Sikela and van Roy 43 2018) have undergone a human-specific hyper-amplification that represents the largest human- 44 specific increase in copy number of any coding region in the genome (Popesco et al. 2006; 45 O’Bleness et al. 2012). The current human reference genome [hg38] is reported to contain 302 46 haploid copies (Zimmer and Montgomery 2015), approximately 165 of which have been added 47 to the human genome since the Homo/Pan split (O’Bleness et al. 2012). Olduvai sequences are 48 found almost entirely within the NBPF gene family (Vandepoele et al. 2005) and have 49 undergone exceptional amplification exclusively within the primate order, with copy numbers 50 generally decreasing with increasing phylogenetic distance from humans: humans have ~300 51 copies, great apes 97-138, monkeys 48-75, and non-primate mammals 1-8 (Popesco et al. 2006; 52 O’Bleness et al. 2012; Zimmer and Montgomery 2015). 53 Olduvai copy number increase has been implicated in the evolutionary expansion of the 54 human brain, showing a linear association with brain size, neuron number, and several other 55 brain-size-related phenotypes among primate species (Dumas and Sikela 2009; Dumas et al. 56 2012; Keeney et al. 2014, 2015; Zimmer and Montgomery 2015). Among humans, Olduvai copy 57 number (total or subtype specific) has been linked, in a dosage-dependent manner, to brain 58 size, gray matter volume, and cognitive aptitude in healthy populations (Dumas et al. 2012; 59 Davis et al. 2015b), as well as with brain size pathologies (microcephaly/macrocephaly) (Dumas 3 60 et al. 2012). Increasing Olduvai copy number has also been linearly associated with increasing 61 severity of autism symptoms (Davis et al. 2014, 2015a, 2019), as well as increasing severity of 62 negative schizophrenia symptoms, which are phenotypically similar to the social deficits 63 associated with autism (Searles Quick et al. 2015). Conversely, decreasing copy number shows a 64 linear relationship with the severity of positive symptoms of schizophrenia (e.g., hallucinations, 65 delusions). Lending further support for a role in these disorders, 1q21.1-associated duplications 66 and deletions that encompass many Olduvai copies are among the most common structural 67 variations (SVs) associated with autism and schizophrenia, respectively (Brunetti-Pierri et al. 68 2008; Mefford et al. 2008; International Schizophrenia Consortium et al. 2009). Taken together, 69 these findings suggest that variation in Olduvai copy number can produce both beneficial (e.g., 70 increased brain size and cognitive function) and deleterious brain-related phenotypic outcomes 71 (Dumas and Sikela 2009). Such a duality in function fits well with models that propose that the 72 key genes that drove human brain evolution are also significant contributors to autism and 73 schizophrenia (Crow 1995; Burns 2007; Dumas and Sikela 2009; Sikela and Searles Quick 2018). 74 Finally, recent studies have shown that most human-specific Olduvai copies are encoded by 75 four NBPF genes on 1q21.1-2, three of which are adjacent to and co-regulated with three 76 human-specific NOTCH2NL genes (Fiddes et al. 2019). The three NOTCH2NL genes have been 77 shown to promote cortical neurogenesis (Fiddes et al. 2018; Suzuki et al. 2018), suggesting that 78 the human-specific Olduvai expansions and their adjacent NOTCH2NL partners may work in a 79 coordinated, complementary manner to drive human brain expansion in a dosage-related 80 fashion (Fiddes et al. 2019). 81 Olduvai domains are on average 65 amino acids in length (ranging from 61 to 74) (Finn 4 82 et al. 2014) and are encoded within a small exon and large exon doublet (Popesco et al. 2006). 83 The domains have been subdivided into 6 primary subtypes based on sequence similarity: 84 Conserved 1-3 (CON1-3) and Human Lineage Specific 1-3 (HLS1-3) (O’Bleness et al. 2012). 85 Sequences encoding the various subtypes are almost always found in the same order within 86 NBPF genes: one or more CON1 domains; a single CON2 domain; one or more instances of a 87 triplet composed of HLS1, HLS2, and HLS3 domains; and a single CON3 domain at the carboxy 88 end. A significant majority (114 copies) of the human-specific copies have been generated by 89 intragenic domain amplification (i.e., increases in the number of tandemly arranged copies) 90 primarily involving 4 of the 24 human NBPF genes (O’Bleness et al. 2012). These tandem 91 expansions are predominantly organized as contiguous three domain blocks, named Olduvai 92 triplets, each of which is approximately 4.7kb in length and composed of an HLS1, HLS2, and 93 HLS3 subtype (O’Bleness et al. 2012). While Olduvai sequences show a human-specific range in 94 copy number, the domains are highly copy number polymorphic among humans, exhibiting a 95 broad normal distribution (Davis et al. 2014). Despite the rapid and extreme nature of the 96 Olduvai triplet expansion in the human species, the genomic factors that drove the process 97 have remained unexplained. Similarly, the genomic mechanism that underlies the extensive 98 Olduvai copy number variation observed within the human population remains unknown. 99 G-quadruplexes (G4s) are non-B form DNA structures characterized by two or more 100 stacked planar guanine tetrads. The characteristic sequence motif of these structures is four or 101 more closely spaced runs of three or more guanines (Bochman et al. 2012). The guanines are 102 stabilized by non-canonical H-bonding in a coplanar arrangement to form G-quartets and a 103 stacked array of G-quartets make up a G4 structure. G4 sequence motifs are over-represented 5 104 in meiotic and mitotic double-stranded breaks and are thought to promote genomic instability 105 (Bochman et al. 2012; Maizels and Gray 2013). Here, we provide evidence supporting the view 106 that a potential G4 motif specific to Olduvai sequences may be behind both their evolutionary 107 hyperamplification and the high degree of variation associated with Olduvai triplets in existing 108 humans. 109 110 Materials and Methods 111 Sequence analysis of predicted breakpoint regions 112 The coordinates of the relevant introns were obtained as described in Astling et al. 113 (Astling et al. 2017). Reference sequence data for the relevant introns were extracted from 114 hg38 utilizing bedtools v2.26.0 (Quinlan and Hall 2010). The sequences were aligned with 115 Clustal Omega (Rice et al. 2000), and the alignments were visualized with Geneious v10.2.3. 116 Analysis of the pG4 sequence in non-human primates 117 Olduvai sequences in non-human primate genomes were located as described in 118 Zimmer and Montgomery (Zimmer and Montgomery 2015).
Recommended publications
  • Analysis of Mutational Landscape of Patients with Chronic Lymphocytic Leukemia
    Analysis of mutational landscape of patients with chronic lymphocytic leukemia A.V. Terskikh1, A.A. Samsonova2, A.A. Kanapin2 1-Peter the Great St.Petersburg Polytechnic University, St. Petersburg, Russia, anastasiya- [email protected]; 2-Department of Oncology, University of Oxford, Oxford, UK, [email protected], [email protected] A precise understanding of the genomic features of chronic lymphocytic leukemia (CLL) may benefit the study of the disease’s staging and treatment. Genomic landscape of CLL probably reflects either an unknown underlying biochemical mechanism playing a key role in CLL or multiple biochemical pathways independently driving the development of this tumor. The elucidation of either scenario may have important consequences on the clinical management of CLL. Our aim is to analyze mutational landscape of the disease to identify potential pathways driving the pathology. Chronic lymphocytic leukemia is a clonal neoplasia of B-lymphocytes which accumulate mainly in the blood, bone marrow, lymph nodes and spleen [1]. Notably, these B- lymphocytes are differentiated, and can remain in an arrested state for several years after diagnosis. Two major molecular subtypes can be distinguished, characterized respectively by a high or low number of somatic hypermutations in the variable region of immunoglobulin genes [2]. This classification system was improved with the characterization of additional genomic and transcriptomic factors [3]. However, the genomic events that dictate the initiation and heterogeneous evolution of CLL remained partially unknown. Next-Generation Sequencing (NGS) allows the comparison of the genome of tumor cells with the constitutive genome in normal tissues of the same patients. The variants present in the tumor genome and absent from the germinal genome are called somatic mutations, and constitute a requisite of cancer development.
    [Show full text]
  • Novel Genetic Features of Human and Mouse Purkinje Cell Differentiation Defined by Comparative Transcriptomics
    Novel genetic features of human and mouse Purkinje cell differentiation defined by comparative transcriptomics David E. Buchholza, Thomas S. Carrollb, Arif Kocabasa, Xiaodong Zhua, Hourinaz Behestia, Phyllis L. Faustc, Lauren Stalbowa, Yin Fanga, and Mary E. Hattena,1 aLaboratory of Developmental Neurobiology, The Rockefeller University, New York, NY 10065; bBioinformatics Resource Center, The Rockefeller University, New York, NY 10065; and cDepartment of Pathology and Cell Biology, Columbia University Irving Medical Center and the New York Presbyterian Hospital, New York, NY 10032 Contributed by Mary E. Hatten, April 22, 2020 (sent for review January 3, 2020; reviewed by Lorenz Studer and Hynek Wichterle) Comparative transcriptomics between differentiating human plu- is ataxia-telangiectasia, which shows massive loss of PCs in hu- ripotent stem cells (hPSCs) and developing mouse neurons offers a mans but not in the mouse (11). Human pluripotent stem cells powerful approach to compare genetic and epigenetic pathways (hPSCs) provide a complementary approach to studying human in human and mouse neurons. To analyze human Purkinje cell disease in the mouse (12–14). Validated methods to derive (PC) differentiation, we optimized a protocol to generate human specific neural subtypes from hPSCs are necessary prerequisites pluripotent stem cell-derived Purkinje cells (hPSC-PCs) that formed to disease modeling. We and others have recently developed synapses when cultured with mouse cerebellar glia and granule protocols to derive PCs from hPSCs (15–18). cells and fired large calcium currents, measured with the geneti- One limitation of most hPSC-derived central nervous system cally encoded calcium indicator jRGECO1a. To directly compare (CNS) neurons is the lack of genetic information, especially of global gene expression of hPSC-PCs with developing mouse PCs, transcriptomic signatures, to rigorously identify specific types of we used translating ribosomal affinity purification (TRAP).
    [Show full text]
  • 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.
    [Show full text]
  • Supplementary Table 1: Adhesion Genes Data Set
    Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like,
    [Show full text]
  • Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
    Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7,
    [Show full text]
  • Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
    BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in
    [Show full text]
  • Hominin-Specific NOTCH2 Paralogs Expand Human Cortical Neurogenesis
    bioRxiv preprint doi: https://doi.org/10.1101/221358; this version posted November 17, 2017. 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. Hominin-specific NOTCH2 paralogs expand human cortical neurogenesis through regulation of Delta/Notch interactions. Ikuo K. Suzuki1,2, David Gacquer1, Roxane Van Heurck1,2, Devesh Kumar1,2, Marta Wojno1,2, Angéline Bilheu1,2, Adèle Herpoel1,2, Julian Chéron1,2, Franck Polleux6, Vincent Detours1, and Pierre Vanderhaeghen1,2,3,4,5*. 1 Université Libre de Bruxelles (ULB), Institute for Interdisciplinary Research (IRIBHM), B-1070 Brussels, Belgium 2 ULB Institute of Neuroscience (UNI), B-1070 Brussels, Belgium 3 WELBIO, Université Libre de Bruxelles, B-1070 Brussels, Belgium 4 VIB, Center for Brain and Disease Research, B-3000 Leuven, Belgium 5 University of Leuven (KU Leuven), Department of Neurosciences, B-3000 Leuven, Belgium 6 Department of Neuroscience, Columbia University Medical Center, Columbia University, New York, NY 10027, USA *Correspondence and Lead Contact: [email protected] Keywords Human brain development, human brain evolution, neurogenesis, Notch pathway, cerebral cortex bioRxiv preprint doi: https://doi.org/10.1101/221358; this version posted November 17, 2017. 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. Summary The human cerebral cortex has undergone rapid expansion and increased complexity during recent evolution. Hominid-specific gene duplications represent a major driving force of evolution, but their impact on human brain evolution remains unclear.
    [Show full text]
  • Paired Involvement of Human-Specific Olduvai Domains and NOTCH2NL
    Human Genetics (2019) 138:715–721 https://doi.org/10.1007/s00439-019-02018-4 ORIGINAL INVESTIGATION Paired involvement of human‑specifc Olduvai domains and NOTCH2NL genes in human brain evolution Ian T. Fiddes1 · Alex A. Pollen2 · Jonathan M. Davis3 · James M. Sikela3 Received: 31 October 2018 / Accepted: 16 April 2019 / Published online: 13 May 2019 © The Author(s) 2019 Abstract Sequences encoding Olduvai (DUF1220) protein domains show the largest human-specifc increase in copy number of any coding region in the genome and have been linked to human brain evolution. Most human-specifc copies of Olduvai (119/165) are encoded by three NBPF genes that are adjacent to three human-specifc NOTCH2NL genes that have been shown to promote cortical neurogenesis. Here, employing genomic, phylogenetic, and transcriptomic evidence, we show that these NOTCH2NL/NBPF gene pairs evolved jointly, as two-gene units, very recently in human evolution, and are likely co-regulated. Remarkably, while three NOTCH2NL paralogs were added, adjacent Olduvai sequences hyper-amplifed, adding 119 human- specifc copies. The data suggest that human-specifc Olduvai domains and adjacent NOTCH2NL genes may function in a coordinated, complementary fashion to promote neurogenesis and human brain expansion in a dosage-related manner. Introduction part of these eforts, genomic factors are beginning to be uncovered that potentially contributed to the evolutionary The increasing availability of primate genomic data is pro- expansion of the human brain (Sikela 2006; O’Bleness et al. viding a unique opportunity to identify lineage-specifc 2012a). While there are a number of genomic mechanisms sequence diferences among human and other primates.
    [Show full text]
  • Molecular Distinctions Between Pediatric and Adult Mature B-Cell Non-Hodgkin Lymphomas Identified Through Genomic Profiling
    University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Public Health Resources Public Health Resources 4-19-2012 Molecular distinctions between pediatric and adult mature B-cell non-Hodgkin lymphomas identified through genomic profiling Karen Deffenbacher University of Nebraska Medical Center, Omaha Javeed Iqbal University of Nebraska Medical Center, Omaha Warren Sanger University of Nebraska Medical Center, Omaha Yulei Shen University of Nebraska Medical Center, Omaha Cynthia Lachel University of Nebraska Medical Center, Omaha See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/publichealthresources Part of the Public Health Commons Deffenbacher, Karen; Iqbal, Javeed; Sanger, Warren; Shen, Yulei; Lachel, Cynthia; Liu, Zhongfeng; Liu, Yanyan; Lim, Megan; Perkins, Sherrie; Fu, Kai; Smith, Lynette; Lynch, James; Staudt, Louis; Rimsza, Lisa M.; Jaffe, Elaine; Rosenwald, Andreas; Ott, German; Delabie, Jan; Campo, Elias; Gascoyne, Randy; Cairo, Mitchell; Weisenburger, Dennis; Greiner, Timothy; Gross, Thomas; and Chan, Wing, "Molecular distinctions between pediatric and adult mature B-cell non-Hodgkin lymphomas identified through genomic profiling" (2012). Public Health Resources. 145. https://digitalcommons.unl.edu/publichealthresources/145 This Article is brought to you for free and open access by the Public Health Resources at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Public Health Resources by an authorized administrator
    [Show full text]
  • Strand Breaks for P53 Exon 6 and 8 Among Different Time Course of Folate Depletion Or Repletion in the Rectosigmoid Mucosa
    SUPPLEMENTAL FIGURE COLON p53 EXONIC STRAND BREAKS DURING FOLATE DEPLETION-REPLETION INTERVENTION Supplemental Figure Legend Strand breaks for p53 exon 6 and 8 among different time course of folate depletion or repletion in the rectosigmoid mucosa. The input of DNA was controlled by GAPDH. The data is shown as ΔCt after normalized to GAPDH. The higher ΔCt the more strand breaks. The P value is shown in the figure. SUPPLEMENT S1 Genes that were significantly UPREGULATED after folate intervention (by unadjusted paired t-test), list is sorted by P value Gene Symbol Nucleotide P VALUE Description OLFM4 NM_006418 0.0000 Homo sapiens differentially expressed in hematopoietic lineages (GW112) mRNA. FMR1NB NM_152578 0.0000 Homo sapiens hypothetical protein FLJ25736 (FLJ25736) mRNA. IFI6 NM_002038 0.0001 Homo sapiens interferon alpha-inducible protein (clone IFI-6-16) (G1P3) transcript variant 1 mRNA. Homo sapiens UDP-N-acetyl-alpha-D-galactosamine:polypeptide N-acetylgalactosaminyltransferase 15 GALNTL5 NM_145292 0.0001 (GALNT15) mRNA. STIM2 NM_020860 0.0001 Homo sapiens stromal interaction molecule 2 (STIM2) mRNA. ZNF645 NM_152577 0.0002 Homo sapiens hypothetical protein FLJ25735 (FLJ25735) mRNA. ATP12A NM_001676 0.0002 Homo sapiens ATPase H+/K+ transporting nongastric alpha polypeptide (ATP12A) mRNA. U1SNRNPBP NM_007020 0.0003 Homo sapiens U1-snRNP binding protein homolog (U1SNRNPBP) transcript variant 1 mRNA. RNF125 NM_017831 0.0004 Homo sapiens ring finger protein 125 (RNF125) mRNA. FMNL1 NM_005892 0.0004 Homo sapiens formin-like (FMNL) mRNA. ISG15 NM_005101 0.0005 Homo sapiens interferon alpha-inducible protein (clone IFI-15K) (G1P2) mRNA. SLC6A14 NM_007231 0.0005 Homo sapiens solute carrier family 6 (neurotransmitter transporter) member 14 (SLC6A14) mRNA.
    [Show full text]
  • Transcriptional Fates of Human-Specific Segmental Duplications in Brain
    Downloaded from genome.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press Method Transcriptional fates of human-specific segmental duplications in brain Max L. Dougherty,1,7 Jason G. Underwood,1,2,7 Bradley J. Nelson,1 Elizabeth Tseng,2 Katherine M. Munson,1 Osnat Penn,1 Tomasz J. Nowakowski,3,4 Alex A. Pollen,5 and Evan E. Eichler1,6 1Department of Genome Sciences, University of Washington School of Medicine, Seattle, Washington 98195, USA; 2Pacific Biosciences (PacBio) of California, Incorporated, Menlo Park, California 94025, USA; 3Department of Anatomy, 4Department of Psychiatry, 5Department of Neurology, University of California, San Francisco, San Francisco, California 94158, USA; 6Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA Despite the importance of duplicate genes for evolutionary adaptation, accurate gene annotation is often incomplete, in- correct, or lacking in regions of segmental duplication. We developed an approach combining long-read sequencing and hybridization capture to yield full-length transcript information and confidently distinguish between nearly identical genes/paralogs. We used biotinylated probes to enrich for full-length cDNA from duplicated regions, which were then am- plified, size-fractionated, and sequenced using single-molecule, long-read sequencing technology, permitting us to distin- guish between highly identical genes by virtue of multiple paralogous sequence variants. We examined 19 gene families as expressed in developing and adult human brain, selected for their high sequence identity (average >99%) and overlap with human-specific segmental duplications (SDs). We characterized the transcriptional differences between related paralogs to better understand the birth–death process of duplicate genes and particularly how the process leads to gene innovation.
    [Show full text]
  • Evolution and Diversity of Copy Number Variation in the Great Ape Lineage
    Downloaded from genome.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press Evolution and diversity of copy number variation in the great ape lineage Peter H. Sudmant1, John Huddleston1,7, Claudia R. Catacchio2, Maika Malig1, LaDeana W. Hillier3, Carl Baker1, Kiana Mohajeri1, Ivanela Kondova4, Ronald E. Bontrop4, Stephan Persengiev4, Francesca Antonacci2, Mario Ventura2, Javier Prado-Martinez5, Tomas 5,6 1,7 Marques-Bonet , and Evan E. Eichler 1. Department of Genome Sciences, University of Washington, Seattle, WA, USA 2. University of Bari, Bari, Italy 3. The Genome Institute, Washington University School of Medicine, St. Louis, MO, USA 4. Department of Comparative Genetics, Biomedical Primate Research Centre, Rijswijk, The Netherlands 5. Institut de Biologia Evolutiva, (UPF-CSIC) Barcelona, Spain 6. Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain 7. Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA Correspondence to: Evan Eichler Department of Genome Sciences University of Washington School of Medicine Foege S-413A, Box 355065 3720 15th Ave NE Seattle, WA 98195 E-mail: [email protected] 1 Downloaded from genome.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press ABSTRACT Copy number variation (CNV) contributes to the genetic basis of disease and has significantly restructured the genomes of humans and great apes. The diversity and rate of this process, however, has not been extensively explored among the great ape lineages. We analyzed 97 deeply sequenced great ape and human genomes and estimate that 16% (469 Mbp) of the hominid genome has been affected by recent copy number changes.
    [Show full text]