Capsid-CPSF6 Interaction Licenses Nuclear HIV-1 Trafficking to Sites Of

Total Page:16

File Type:pdf, Size:1020Kb

Capsid-CPSF6 Interaction Licenses Nuclear HIV-1 Trafficking to Sites Of Article Capsid-CPSF6 Interaction Licenses Nuclear HIV-1 Trafficking to Sites of Viral DNA Integration Graphical Abstract Authors Vasudevan Achuthan, Jill M. Perreira, Gregory A. Sowd, ..., Stefan G. Sarafianos, Abraham L. Brass, Alan N. Engelman Correspondence [email protected] (A.L.B.), alan_engelman@dfci. harvard.edu (A.N.E.) In Brief Prior work indicated that the nuclear periphery dictated HIV-1 integration site selection. Using multiple orthologous approaches, Achuthan et al. fail to garner evidence for preferential targeting of the periphery. The interaction between viral capsid and CPSF6 enables HIV-1 to bypass integration into peripheral heterochromatin and penetrate the nuclear structure for integration. Highlights d CA-CPSF6 interaction as opposed to nuclear periphery dictates HIV-1 integration d CPSF6 enables HIV-1 to penetrate the nuclear interior beyond the nuclear periphery d Loss of CPSF6 interaction results in integration at lamina- associated domains d LEDGF/p75 does not play a significant role in intranuclear HIV-1 localization Achuthan et al., 2018, Cell Host & Microbe 24, 392–404 September 12, 2018 ª 2018 Elsevier Inc. https://doi.org/10.1016/j.chom.2018.08.002 Cell Host & Microbe Article Capsid-CPSF6 Interaction Licenses Nuclear HIV-1 Trafficking to Sites of Viral DNA Integration Vasudevan Achuthan,1,2 Jill M. Perreira,3 Gregory A. Sowd,1,2 Maritza Puray-Chavez,4 William M. McDougall,3 Adriana Paulucci-Holthauzen,5 Xiaolin Wu,6 Hind J. Fadel,7 Eric M. Poeschla,8 Asha S. Multani,5 Stephen H. Hughes,9 Stefan G. Sarafianos,4,11 Abraham L. Brass,3,10,* and Alan N. Engelman1,2,12,* 1Department of Cancer Immunology and Virology, Dana-Farber Cancer Institute, Boston, MA 02215, USA 2Department of Medicine, Harvard Medical School, Boston, MA 02115, USA 3Department of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, MA 01655, USA 4Department of Molecular Microbiology & Immunology, University of Missouri School of Medicine, Columbia, MO 65212, USA 5Department of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA 6Leidos Biomedical Research, Inc., Frederick, MD 21702, USA 7Division of Molecular Medicine, Mayo Clinic, Rochester, MN 55905, USA 8Division of Infectious Diseases, University of Colorado Denver School of Medicine, Aurora, CO 80045, USA 9HIV Dynamics and Replication Program, National Cancer Institute, Frederick, MD 21702, USA 10Gastroenterology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA 01655, USA 11Present address: Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30332, USA 12Lead Contact *Correspondence: [email protected] (A.L.B.), [email protected] (A.N.E.) https://doi.org/10.1016/j.chom.2018.08.002 SUMMARY tivity, promoters/enhancers, histone modifications, and gene-rich regions of chromatin (reviewed in Craigie and Bushman, 2014; HIV-1 integration into the host genome favors Serrao and Engelman, 2016). HIV-1 integration favors actively actively transcribed genes. Prior work indicated transcribed genes that reside within relatively gene-dense regions that the nuclear periphery provides the architectural (Schroder et al., 2002), a phenotype that depends in large part on basis for integration site selection, with viral the interactions of two viral proteins, integrase (IN) and capsid capsid-binding host cofactor CPSF6 and viral inte- (CA), with respective cellular binding partners lens epithelium- grase-binding cofactor LEDGF/p75 contributing to derived growth factor (LEDGF)/p75 (Cherepanov et al., 2003; Ciuffi et al., 2005; Marshall et al., 2007; Shun et al., 2007b; Singh et al., selection of individual sites. Here, by investigating 2015) and cleavage and polyadenylation specificity factor 6 the early phase of infection, we determine that (CPSF6) (Lee et al., 2010; Sowd et al., 2016). LEDGF/p75 and HIV-1 traffics throughout the nucleus for integration. CPSF6, however, influence HIV-1 integration in different ways. CPSF6-capsid interactions allow the virus to bypass LEDGF/p75 depletion preferentially reduces integration into peripheral heterochromatin and penetrate the nu- genes as compared with gene-dense regions (Ciuffi et al., 2005; clear structure for integration. Loss of interaction Koh et al., 2013; Marshall et al., 2007; Ocwieja et al., 2011; Shun with CPSF6 dramatically alters virus localization et al., 2007b) and shifts intragenic sites toward 50 end regions toward the nuclear periphery and integration into (Shun et al., 2007b; Singh et al., 2015;Sowd et al., 2016), indicating transcriptionally repressed lamina-associated het- that LEDGF/p75 primarily functions to position integration along erochromatin, while loss of LEDGF/p75 does not gene bodies. Although CPSF6 knockout reduces intragenic inte- significantly affect intranuclear HIV-1 localization. gration more dramatically than LEDGF/p75 depletion, positional targeting within transcription units is relatively random. By Thus, CPSF6 serves as a master regulator of HIV-1 contrast, HIV-1 dramatically loses preference for integration near intranuclear localization by trafficking viral preinte- activating epigenetic marks and favors gene-sparse regions, indi- gration complexes away from heterochromatin at cating that CPSF6 predominantly shields HIV-1 from heterochro- the periphery toward gene-dense chromosomal re- matin (Sowd et al., 2016). CPSF6 facilitates HIV-1 PIC nuclear gions within the nuclear interior. import (Chin et al., 2015; Dharan et al., 2016; Peng et al., 2014), and other import cofactors, including transportin 3 (TNPO3), nucleoporin 358 (NUP358) (Ocwieja et al., 2011), cyclophilin A INTRODUCTION (Schaller et al., 2011), and NUP153 (Di Nunzio et al., 2013; Koh et al., 2013), can also influence sites of integration, indicating a po- HIV-1 replication initiates with viral attachment and cell entry, fol- tential link between PIC nuclear import and integration targeting lowed by reverse transcription, nuclear import of the preintegra- (Di Nunzio, 2013; Ko¨ nig et al., 2008). tion complex (PIC), and viral DNA (vDNA) integration. Integration Image-based studies have been used to map positions of into cell genomes is non-random, with different types of retrovi- PICs, integrated proviruses, and favored gene targets (recurrent ruses displaying distinct preferences for genes, transcriptional ac- integration genes [RIGs]) within cell nuclei. Such analyses are 392 Cell Host & Microbe 24, 392–404, September 12, 2018 ª 2018 Elsevier Inc. facilitated by determining relative distance of the imaged focus 2015) in intranuclear HIV-1 localization depleted the proteins by from the nuclear edge, and binning results into three concentric RNAi, although Burdick et al. (2017) analyzed HeLa cells with zones of equal area: peripheral nuclear (PN), mid-nuclear (MN), genomic deletions of the LEDGF/p75 coding gene PSIP1.To and central nuclear (CN) (Chin et al., 2015; Marini et al., 2015). systematically address the roles of LEDGF/p75 versus CPSF6, For studies that did not perform such analyses, we have for the we initially used WT HEK293T cells and isogenic derivatives sake of comparison correlated reported distance measures to knocked out for PSIP1 (LEDGF/p75 knockout [LKO]) (Fadel zonal region (STAR Methods). HIV-1 PICs (Albanese et al., et al., 2014), CPSF6 (CKO), or both PSIP1 and CPSF6 (double 2008; Burdick et al., 2013, 2017; Francis and Melikyan, 2018) KO [DKO]) (Sowd et al., 2016). Cells infected with VSV-G-pseu- and proviruses (Di Primio et al., 2013; Marini et al., 2015) predom- dotyped HIV-1NL4-3 at the approximate MOI of 350 were imaged inantly mapped to the PN and MN. RIGs were mapped by fluores- at 24 hr post-infection (hpi) using the Provirus ViewHIV assay that cence in situ hybridization (FISH) also to PN and MN areas, with predominantly detects integrated virus (Chin et al., 2015)(Fig- some PN loci in proximity to nuclear pore complexes (NPCs) ure S1). DNA signals from confocal microscopy z stacks were (Marini et al., 2015). Such observations have led to the suggestion binned into PN, MN, and CN areas. In both WT and LKO cells, that active chromatin at the nuclear periphery determines the vDNA dispersed fairly equally across the nuclear sections (Fig- architectural basis for HIV-1 integration site selection (Marini ure 1A). In line with our knockdown studies (Chin et al., 2015), et al., 2015). However, the roles of known integration targeting HIV-1 DNA significantly relocalized to the PN in CKO cells cofactors in this process, such as LEDGF/p75 and CPSF6, (76.5% ± 1.4%) with concomitant reductions in MN and CN require clarification. For example, prior studies disagree as to a localization. Consistent with a dominant role for CPSF6 in deter- potential role for LEDGF/p75: whereas two reports indicated mining intranuclear HIV-1 localization, 65.1% ± 0.9% of vDNA that LEDGF/p75 played a role in PN targeting (Marini et al., signals mapped to the PN area of DKO cell nuclei (Figure 1A). 2015; Vranckx et al., 2016), two other papers concluded To assess the generalizability of these observations, we uti- LEDGF/p75 does not contribute to the macrolocalization of lized the MICDDRP bDNA hybridization technique, which, at HIV-1 within the nucleus (Burdick et al., 2017; Quercioli et al., 24 hpi, does not distinguish between unintegrated vDNA and 2016). CPSF6, by contrast, was reportedly important for nuclear proviral DNA (Puray-Chavez et al., 2017). Cells infected at MOI penetration (Chin
Recommended publications
  • Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
    Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase
    [Show full text]
  • Clinical Impact of Copy Number Variation Changes in Bladder Cancer Samples
    EXPERIMENTAL AND THERAPEUTIC MEDICINE 22: 901, 2021 Clinical impact of copy number variation changes in bladder cancer samples VICTORIA SPASOVA1, BORIS MLADENOV2, SIMEON RANGELOV3, ZORA HAMMOUDEH1, DESISLAVA NESHEVA1, DIMITAR SERBEZOV1, RADA STANEVA1,4, SAVINA HADJIDEKOVA1,4, MIHAIL GANEV1, LUBOMIR BALABANSKI1,5, RADOSLAVA VAZHAROVA5,6, CHAVDAR SLAVOV3, DRAGA TONCHEVA1 and OLGA ANTONOVA1 1Department of Medical Genetics, Medical University‑Sofia, 1431 Sofia;2 Department of Urology, UMBALSM N.I. Pirogov, 1606 Sofia; 3Department of Urology, Tsaritsa Yoanna University Hospital, 1527 Sofia; 4Medical Genetics Laboratory, Nadezhda Women's Health Hospital, 1373 Sofia; 5Medical Genetics Laboratory, GARH Malinov, 1680 Sofia; 6Department of Biology, Medical Genetics and Microbiology, Faculty of Medicine, Sofia University St. Kliment Ohridski, 1407 Sofia, Bulgaria Received November 30, 2019; Accepted February 18, 2021 DOI: 10.3892/etm.2021.10333 Abstract. The aim of the present study was to detect copy uroepithelial tumours may lay a foundation for implementing number variations (CNVs) related to tumour progression and molecular CNV profiling of bladder tumours as part of a metastasis of urothelial carcinoma through whole‑genome routine progression risk estimation strategy, thus expanding scanning. A total of 30 bladder cancer samples staged from the personalized therapeutic approach. pTa to pT4 were included in the study. DNA was extracted from freshly frozen tissue via standard phenol‑chloroform extraction Introduction and CNV analysis was performed on two alternative platforms (CytoChip Oligo aCGH, 4x44K and Infinium OncoArray‑500K The most successful approach to treating a disease has BeadChip; Illumina, Inc.). Data were analysed with BlueFuse always been etiological therapy. In the case of bladder Multi software and Karyostudio, respectively.
    [Show full text]
  • LOXL2-Mediated H3K4 Oxidation Reduces Chromatin Accessibility in Triple-Negative Breast Cancer Cells
    Oncogene (2020) 39:79–121 https://doi.org/10.1038/s41388-019-0969-1 ARTICLE LOXL2-mediated H3K4 oxidation reduces chromatin accessibility in triple-negative breast cancer cells 1 1 2 1 1 1 J. P. Cebrià-Costa ● L. Pascual-Reguant ● A. Gonzalez-Perez ● G. Serra-Bardenys ● J. Querol ● M. Cosín ● 1,3 4 4 2 5 6 G. Verde ● R. A. Cigliano ● W. Sanseverino ● S. Segura-Bayona ● A. Iturbide ● D. Andreu ● 1 1,7 1 1,7,8,9 10 6,10 P. Nuciforo ● C. Bernado-Morales ● V. Rodilla ● J. Arribas ● J. Yelamos ● A. Garcia de Herreros ● 2 1 T. H. Stracker ● S. Peiró Received: 28 January 2019 / Revised: 8 July 2019 / Accepted: 9 August 2019 / Published online: 28 August 2019 © The Author(s) 2019. This article is published with open access Abstract Oxidation of H3 at lysine 4 (H3K4ox) by lysyl oxidase-like 2 (LOXL2) generates an H3 modification with an unknown physiological function. We find that LOXL2 and H3K4ox are higher in triple-negative breast cancer (TNBC) cell lines and patient-derived xenografts (PDXs) than those from other breast cancer subtypes. ChIP-seq revealed that H3K4ox is located primarily in heterochromatin, where it is involved in chromatin compaction. Knocking down LOXL2 reduces H3K4ox levels 1234567890();,: 1234567890();,: and causes chromatin decompaction, resulting in a sustained activation of the DNA damage response (DDR) and increased susceptibility to anticancer agents. This critical role that LOXL2 and oxidized H3 play in chromatin compaction and DDR suggests that functionally targeting LOXL2 could be a way to sensitize TNBC cells to conventional therapy.
    [Show full text]
  • C9orf86 (RABL6) (NM 024718) Human Recombinant Protein 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 TP305813 C9orf86 (RABL6) (NM_024718) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Recombinant protein of human chromosome 9 open reading frame 86 (C9orf86) Species: Human Expression Host: HEK293T Tag: C-Myc/DDK Predicted MW: 74.7 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25 mM Tris.HCl, pH 7.3, 100 mM glycine, 10% glycerol Preparation: Recombinant protein was captured through anti-DDK affinity column followed by conventional chromatography steps. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_078994 Locus ID: 55684 UniProt ID: Q3YEC7 RefSeq Size: 3148 Cytogenetics: 9q34.3 RefSeq ORF: 2058 Synonyms: C9orf86; PARF; pp8875; RBEL1 Summary: This gene encodes a member of the Ras superfamily of small GTPases. The encoded protein binds to both GTP and GDP and may play a role in cell growth and survival. Overexpression of this gene may play a role in breast cancer tumorigenesis, and pseudogenes of this gene are located on the long arm of chromosome 2 and the short arm of chromosome 18. Alternatively spliced transcript variants encoding multiple isoforms have been observed for this gene. [provided by RefSeq, Dec 2011] This product is to be used for laboratory only.
    [Show full text]
  • The Changing Chromatome As a Driver of Disease: a Panoramic View from Different Methodologies
    The changing chromatome as a driver of disease: A panoramic view from different methodologies Isabel Espejo1, Luciano Di Croce,1,2,3 and Sergi Aranda1 1. Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain 2. Universitat Pompeu Fabra (UPF), Barcelona, Spain 3. ICREA, Pg. Lluis Companys 23, Barcelona 08010, Spain *Corresponding authors: Luciano Di Croce ([email protected]) Sergi Aranda ([email protected]) 1 GRAPHICAL ABSTRACT Chromatin-bound proteins regulate gene expression, replicate and repair DNA, and transmit epigenetic information. Several human diseases are highly influenced by alterations in the chromatin- bound proteome. Thus, biochemical approaches for the systematic characterization of the chromatome could contribute to identifying new regulators of cellular functionality, including those that are relevant to human disorders. 2 SUMMARY Chromatin-bound proteins underlie several fundamental cellular functions, such as control of gene expression and the faithful transmission of genetic and epigenetic information. Components of the chromatin proteome (the “chromatome”) are essential in human life, and mutations in chromatin-bound proteins are frequently drivers of human diseases, such as cancer. Proteomic characterization of chromatin and de novo identification of chromatin interactors could thus reveal important and perhaps unexpected players implicated in human physiology and disease. Recently, intensive research efforts have focused on developing strategies to characterize the chromatome composition. In this review, we provide an overview of the dynamic composition of the chromatome, highlight the importance of its alterations as a driving force in human disease (and particularly in cancer), and discuss the different approaches to systematically characterize the chromatin-bound proteome in a global manner.
    [Show full text]
  • Characterizing Novel Cyclophilin A-RNA Interactions
    1 Characterizing Novel Cyclophilin A-RNA Interactions Maria T. Carilli Undergraduate Honors Thesis Department of Physics, University of Colorado Boulder April 1st, 2021 Thesis Advisor: Deborah S. Wuttke, Department of Biochemistry Committee Members: Daniel Dessau, Department of Physics (Honors Council Representative) Thomas Perkins, Department of Physics, Oliver DeWolfe, Department of Physics 2 Table of Contents Acknowledgements …………………………………………………………………………………………… Page 3 Abstract ………………..…………………………………………………………………………………………… Page 4 Introduction and Background …………..……………………………….………………………………… Page 6 Materials and Methods .………..…………..……………………………….………………………………… Page 10 Results and Discussion .………..…………..………………………………….………………………………. Page 18 Potential Models .………..…………..………………………………….………………………………………. Page 41 Future Directions .………..…………..………………………………….…………………………………….…. Page 42 Conclusion …………………..………..…………..………………………………….……………………………… Page 45 Bibliography …………………..………..…………..……………………………….……………………………… Page 46 3 Acknowledgements I would first like to express my deepest gratitude to my advisor, Deborah Wuttke, who made this thesis possible. From my first meeting with her to discuss working in her lab to our most recent meeting, she has provided invaluable scientific insight and direction. Her guidance steadied the course of my undergraduate research experience with excellent structure as well as the freedom to explore exciting science. For consistent encouragement and insight on this thesis as well as for advice about my future academic plans, I
    [Show full text]
  • Establishment and Characterization of New Tumor Xenografts and Cancer Cell Lines from EBV-Positive Nasopharyngeal Carcinoma
    UC Davis UC Davis Previously Published Works Title Establishment and characterization of new tumor xenografts and cancer cell lines from EBV-positive nasopharyngeal carcinoma. Permalink https://escholarship.org/uc/item/79j9621x Journal Nature communications, 9(1) ISSN 2041-1723 Authors Lin, Weitao Yip, Yim Ling Jia, Lin et al. Publication Date 2018-11-07 DOI 10.1038/s41467-018-06889-5 Peer reviewed eScholarship.org Powered by the California Digital Library University of California ARTICLE DOI: 10.1038/s41467-018-06889-5 OPEN Establishment and characterization of new tumor xenografts and cancer cell lines from EBV-positive nasopharyngeal carcinoma Weitao Lin 1, Yim Ling Yip 1, Lin Jia 1, Wen Deng2, Hong Zheng 3,4, Wei Dai3, Josephine Mun Yee Ko 3, Kwok Wai Lo 5, Grace Tin Yun Chung5, Kevin Y. Yip 6, Sau-Dan Lee6, Johnny Sheung-Him Kwan5, Jun Zhang1, Tengfei Liu1, Jimmy Yu-Wai Chan7, Dora Lai-Wan Kwong3, Victor Ho-Fun Lee3, John Malcolm Nicholls8, Pierre Busson 9, Xuefeng Liu 10,11,12, Alan Kwok Shing Chiang13, Kwai Fung Hui13, Hin Kwok14, Siu Tim Cheung 15, Yuk Chun Cheung1, Chi Keung Chan1, Bin Li1,16, 1234567890():,; Annie Lai-Man Cheung1, Pok Man Hau5, Yuan Zhou5, Chi Man Tsang1,5, Jaap Middeldorp 17, Honglin Chen 18, Maria Li Lung3 & Sai Wah Tsao1 The lack of representative nasopharyngeal carcinoma (NPC) models has seriously hampered research on EBV carcinogenesis and preclinical studies in NPC. Here we report the successful growth of five NPC patient-derived xenografts (PDXs) from fifty-eight attempts of trans- plantation of NPC specimens into NOD/SCID mice.
    [Show full text]
  • Science Journals
    SCIENCE ADVANCES | RESEARCH ARTICLE GENETICS Copyright © 2021 The Authors, some rights reserved; An ancestral recombination graph of human, exclusive licensee American Association Neanderthal, and Denisovan genomes for the Advancement Nathan K. Schaefer1,2,3†, Beth Shapiro1,2,3, Richard E. Green3,4* of Science. No claim to original U.S. Government Works. Distributed Many humans carry genes from Neanderthals, a legacy of past admixture. Existing methods detect this archaic under a Creative hominin ancestry within human genomes using patterns of linkage disequilibrium or direct comparison to Nean- Commons Attribution derthal genomes. Each of these methods is limited in sensitivity and scalability. We describe a new ancestral re- NonCommercial combination graph inference algorithm that scales to large genome-wide datasets and demonstrate its accuracy License 4.0 (CC BY-NC). on real and simulated data. We then generate a genome-wide ancestral recombination graph including human and archaic hominin genomes. From this, we generate a map within human genomes of archaic ancestry and of genomic regions not shared with archaic hominins either by admixture or incomplete lineage sorting. We find that only 1.5 to 7% of the modern human genome is uniquely human. We also find evidence of multiple bursts of adaptive changes specific to modern humans within the past 600,000 years involving genes related to brain development and function. INTRODUCTION As prior techniques for ancestry mapping can be thought of as sum- Much of the current genetic variation within humans predates the maries of the ARG, higher resolution ancestry maps could be pro- split, estimated at 520 to 630 thousand years (ka) ago (1), between duced if the ARG were known.
    [Show full text]
  • Accessory Subunits Are Integral for Assembly and Function of Human Mitochondrial Complex I
    Accessory subunits are integral for assembly and function of human mitochondrial complex I David A. Stroud1*, Elliot E. Surgenor1, Luke E. Formosa1,2, Boris Reljic2†, Ann E. Frazier3,4, Marris G. Dibley1, Laura D. Osellame1, Tegan Stait3, Traude H. Beilharz1, David R. Thorburn3-5, Agus Salim6, Michael T. Ryan1* 1Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, 3800, Melbourne, Australia. 2Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University 3086, Melbourne, Australia. 3Murdoch Childrens Research Institute, Royal Children’s Hospital, Melbourne 3052, Australia 4Department of Pediatrics, University of Melbourne, Melbourne 3052, Australia. 5Victorian Clinical Genetics Services, Royal Children’s Hospital 3052, Melbourne, Australia. 6Department of Mathematics and Statistics, La Trobe University 3086, Melbourne Australia. *Correspondence to: [email protected] and [email protected] †Current address: Walter and Eliza Hall Institute of Medical Research, Parkville, Melbourne, Victoria 3052, Australia Complex I (NADH:ubiquinone oxidoreductase) is the first enzyme of the mitochondrial respiratory chain (RC) and is composed of 44 different subunits in humans, making it one of the largest known multi-subunit membrane protein complexes1. Complex I exists in supercomplex forms with RC complexes III and IV, which are together required for the generation of a transmembrane proton gradient used for the synthesis of ATP2. Complex I is also a major source of damaging reactive oxygen species and its dysfunction is associated with mitochondrial disease, Parkinson’s disease and aging3-5. Bacterial and human complex I share 14 core subunits essential for enzymatic function, however the role and requirement of the remaining 31 human accessory subunits is unclear1,6.
    [Show full text]
  • Extensive Involvement of Alternative Polyadenylation in Single-Nucleus Neurons
    G C A T T A C G G C A T genes Article Extensive Involvement of Alternative Polyadenylation in Single-Nucleus Neurons Ying Wang , Weixing Feng, Siwen Xu and Bo He * Institute of Intelligent System and Bioinformatics, College of Automation, Harbin Engineering University, Harbin 150001, China; [email protected] (Y.W.); [email protected] (W.F.); [email protected] (S.X.) * Correspondence: [email protected] Received: 3 May 2020; Accepted: 25 June 2020; Published: 26 June 2020 Abstract: Cleavage and polyadenylation are essential processes that can impact many aspects of mRNA fate. Most eukaryotic genes have alternative polyadenylation (APA) events. While the heterogeneity of mRNA polyadenylation isoform choice has been studied in specific tissues, less attention has been paid to the neuronal heterogeneity of APA selection at single-nucleus resolution. APA is highly controlled during development and neuronal activation, however, to what extent APA events vary in a specific neuronal cell population and the regulatory mechanisms are still unclear. In this paper, we investigated dynamic APA usage in different cell types using snRNA-seq data of 1424 human brain cells generated by single-cell 30 RNA sequencing. We found that distal APA sites are not only favored by global neuronal cells, but that their usage also varies between the principal types of neuronal cell populations (excitatory neurons and inhibitory neurons). A motif analysis and a gene functional analysis indicated the enrichment of RNA-binding protein (RBP) binding sites and neuronal functions for the set of genes with neuron-enhanced distal PAS usage. Our results revealed the extensive involvement of APA regulation in neuronal populations at the single-nucleus level, providing new insights into roles for APA in specific neuronal cell populations, as well as utility in future functional studies.
    [Show full text]
  • Network-Assisted Analysis of Primary Sjögren's Syndrome GWAS Data In
    Network-assisted analysis of primary Sjögren’s syndrome GWAS data in Han Chinese Kechi Fang, Kunlin Zhang, Jing Wang* Address: Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China. Email: Kechi Fang – [email protected]; Kunlin Zhang – [email protected]; Jing Wang – [email protected] *Corresponding author 1 Supplementary materials Page 3 – Page 5: Supplementary Figure S1. The direct network formed by the module genes from DAPPLE. Page 6: Supplementary Figure S2. Transcript expression heatmap. Page 7: Supplementary Figure S3. Transcript enrichment heatmap. Page 8: Supplementary Figure S4. Workflow of network-assisted analysis of pSS GWAS data to identify candidate genes. Page 9 – Page 734: Supplementary Table S1. A full list of PPI pairs involved in the node-weighted pSS interactome. Page 735 – Page 737: Supplementary Table S2. Detailed information about module genes and sigMHC-genes. Page 738: Supplementary Table S3. GO terms enriched by module genes. 2 NFKBIE CFLAR NFKB1 STAT4 JUN HSF1 CCDC90B SUMO2 STAT1 PAFAH1B3 NMI GTF2I 2e−04 CDKN2C LAMA4 8e−04 HDAC1 EED 0.002 WWOX PSMD7 0.008 TP53 PSMA1 HR 0.02 RPA1 0.08 UBC ARID3A PTTG1 0.2 TSC22D4 ERH NIF3L1 0.4 MAD2L1 DMRTB1 1 ERBB4 PRMT2 FXR2 MBL2 CBS UHRF2 PCNP VTA1 3 DNMT3B DNMT1 RBBP4 DNMT3A RFC3 DDB1 THRA CBX5 EED NR2F2 RAD9A HUS1 RFC4 DDB2 HDAC2 HCFC1 CDC45L PPP1CA MLLSMARCA2 PGR SP3 EZH2 CSNK2B HIST1H4C HIST1H4F HNRNPUL1 HR HIST4H4 TAF1C HIST1H4A ENSG00000206300 APEX1 TFDP1 RHOA ENSG00000206406 RPF2 E2F4 HIST1H4IHIST1H4B HIST1H4D
    [Show full text]
  • Genes for an Enriched Association with Intelligence Differences☆
    Intelligence 54 (2016) 80–89 Contents lists available at ScienceDirect Intelligence Examining non-syndromic autosomal recessive intellectual disability (NS-ARID) genes for an enriched association with intelligence differences☆ W.D. Hill a,b,⁎,G.Daviesa,b,D.C.Liewalda,b,A.Paytonc,C.J.McNeild, L.J. Whalley d,M.Horane,W.Ollierc, J.M. Starr a, N. Pendleton c, N.K. Hansel f,G.W.Montgomeryf, S.E. Medland f,N.G.Martinf, M.J. Wright f, T.C. Bates b,I.J.Dearya,b,⁎ a Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK b Department of Psychology, University of Edinburgh, Edinburgh, UK c Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK d Aberdeen Biomedical Imaging Centre, University of Aberdeen, UK e Centre for Clinical and Cognitive Neurosciences, Institute Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK f QIMR, Berghofer Medical Research Institution, Brisbane, Australia article info abstract Article history: Two themes are emerging regarding the molecular genetic aetiology of intelligence. The first is that intelligence is Received 1 May 2015 influenced by many variants and those that are tagged by common single nucleotide polymorphisms account for Received in revised form 27 October 2015 around 30% of the phenotypic variation. The second, in line with other polygenic traits such as height and schizo- Accepted 20 November 2015 phrenia, is that these variants are not randomly distributed across the genome but cluster in genes that work Available online 17 December 2015 together. Less clear is whether the very low range of cognitive ability (intellectual disability) is simply one end of the normal distribution describing individual differences in cognitive ability across a population.
    [Show full text]