Scan of Human Genome Reveals No New Loci Under Ancient Balancing Selection

Total Page:16

File Type:pdf, Size:1020Kb

Scan of Human Genome Reveals No New Loci Under Ancient Balancing Selection Copyright Ó 2006 by the Genetics Society of America DOI: 10.1534/genetics.106.055715 Scan of Human Genome Reveals No New Loci Under Ancient Balancing Selection K. L. Bubb,*,1 D. Bovee,† D. Buckley,† E. Haugen,† M. Kibukawa,† M. Paddock,† A. Palmieri,† S. Subramanian,† Y. Zhou,† R. Kaul,† P. Green*,‡ and M. V. Olson* *Department of Genome Sciences, †University of Washington Genome Center, ‡Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195 Manuscript received January 12, 2006 Accepted for publication May 31, 2006 ABSTRACT There has been much speculation as to what role balancing selection has played in evolution. In an attempt to identify regions, such as HLA, at which polymorphism has been maintained in the human population for millions of years, we scanned the human genome for regions of high SNP density. We found 16 regions that, outside of HLA and ABO, are the most highly polymorphic regions yet described; however, evidence for balancing selection at these sites is notably lacking—indeed, whole-genome simulations indicate that our findings are expected under neutrality. We propose that (i) because it is rarely stable, long- term balancing selection is an evolutionary oddity, and (ii) when a balanced polymorphism is ancient in origin, the requirements for detection by means of SNP data alone will rarely be met. ENOMIC regions with high densities of single- 2005a). The elevated nucleotide diversity at HLA has G nucleotide polymorphisms (SNPs) may arise for been attributed to diversifying selection acting on one of three reasons: (1) a high mutation rate, (2) diver- functionally critical sites, coupled to extensive ‘‘hitch- sifying selection, or (3) chance. The latter category hiking’’ of neutral SNPs (Hughes and Yeager 1998; simply reflects neutral variation across the genome in Slatkin 2000). Similar explanations have been offered the time elapsed since the most recent common ances- for other known regions with high SNP densities, al- tor of a genomic segment (i.e., ‘‘deepest’’ coalescence though none is nearly as dramatic as HLA. For example, time). The level of diversity at any locus is often de- across the 25 kbp of ABO sequence, the most dissimi- scribed in terms of the average pairwise divergence, or lar haplotypes are roughly three times as divergent as the probability that two randomly chosen haplotypes expected under neutrality (6.25up compared to the neu- differ at a particular base in that locus (up). Population- tral expectation of 2up) [SeattleSNPs, National Heart, genetic theory predicts that, on average for neutrally Lung, and Blood Institute (NHLBI) Program for Geno- evolving regions, the most dissimilar haplotypes, cap- mic Applications, Seattle (http://pga.gs.washington.edu) turing the full depth of the evolutionary tree, will be (October 2005)]. At an ‘‘ancient’’ 900-kbp inversion about twice as divergent as a random pair of haplotypes on chromosome 17, spanning many genes, the maxi- (2up)(Chimpanzee Sequencing and Analysis mum pairwise difference is only 4.2up (Stefansson Consortium 2005). The variance of each measurement et al. 2005). This is an unusual case, because as recom- (average pairwise divergence and maximal pairwise bination is absent between inverted haplotypes, the divergence) decreases as the size of the locus examined depth of the coalescent is the same across the entire increases. Although there have been no systematic region. Across the genome, the average pairwise di- studies of regions of unusually high SNP density in the versity over tens of kilobase pairs rarely exceeds 4up human genome, a few such regions have been discov- [National Institute of Environmental Health Sciences ered during the analysis of variation in important genes. (NIEHS) Environmental Genome Project, University The most dramatic examples are in the HLA locus. In of Washington, Seattle (http://egp.gs.washington.edu) some regions of HLA, such as the DQB1–DQA1–DRB1 (October 2005)]. As a larger fraction of the genome is gene cluster, the sequence divergence between the most analyzed in multiple haplotypes, the number of regions dissimilar haplotypes across tens of thousands of base that, by chance alone, have ancient coalescence times pairs is nearly two orders of magnitude higher than the may overshadow the number of regions that are deep genome-average up (Stewart et al. 2004; Raymond et al. due to selection. This preponderance of false positives may be true for many tests of selection based on charac- teristics of the coalescent tree. 1Corresponding author: Department of Genome Sciences, University of In this study, we undertook a systematic search for Washington, Seattle, WA 98195. E-mail: [email protected] segments of the human genome that have high SNP Genetics 173: 2165–2177 (August 2006) 2166 K. L. Bubb et al. densities. In contrast to previous studies, our search putative SNP, reflecting the 10-fold higher mutation rate at was unbiased by functional considerations. We simply CpGs (Hwang and Green 2004). We identified 6395 align- ozen mined the same public databases of shotgun-sequencing ments that had $1% putative SNPs. Primer3 (R and Skaletsky 2000) was used on those 6395 regions to pick prim- reads that led to discovery of most of the SNPs presently ers for PCR amplification of the region; in 4255 of the cases, in the SNP database. By paying careful attention—- primers were successfully picked. To avoid sequencing the through computational filters and additional experi- same region multiple times, in cases where multiple reads im- mental sampling—to the many sources of false positives, plicated the same region as highly polymorphic, we PCR am- we identified 16 loci that, next to HLA and ABO, now plified only one arbitrarily chosen amplicon/10 kbp, for a total of 991 regions (see Figure 2a; see supplemental Table 1 at represent some of the highest SNP densities yet de- http://www.genetics.org/supplemental/ for list of primer se- scribed in the human genome across regions of many quences and expected amplicon lengths). thousands of base pairs. These regions do not seem to Experimental filtering (PCR and fosmid sequencing): PCR reflect the action of ancient balancing selection, but amplification was performed on a set of 10 DNA samples from rather illustrate the significant ‘‘noise’’ level of the self-identified African Americans, obtained from the Coriell repository (NA17031, NA17032, NA17033, NA17034, NA17035, variation in neutral coalescent depth. Our results NA17036, NA17037, NA17038, NA17039, NA17040). PCR pro- suggest a paucity of regions outside of HLA that are ducts amplified from these samples at the 991 test loci were under long-term balancing selection, as detectable by sequenced (see Figure 2b). Polyphred (Nickerson et al. 1997) polymorphism level. This result is in agreement with identified 208 regions that had more than three SNPs of rank 3 theoretical predictions that single-site balanced poly- or less, and the supporting trace data at these loci were manually examined. Loci in the HLA region, as defined by Stewart et al. morphisms would not be detectable due to recombina- (2004), were dropped from analysis at this point. We determined tional decay of the linked neutral region. Our analysis that 80 of the loci actually contained $1% SNPs with genotypes also highlights the various challenges associated with in approximate Hardy–Weinberg proportions (thereby indicat- genomewide scans for genomic segments under balanc- ing that they were not artifacts of co-amplified paralogous se- ing selection. quences), with a minimum of two occurrences of the minor allele for each SNP. To test whether the high SNP density extended over several MATERIALS AND METHODS kilobase pairs, for each locus with $1% SNPs in this sample population (again counting possible CpG mutations as one- Computational filtering: The SNP Consortium (Sachida- tenth SNP), we PCR amplified two flanking regions—one 3 kbp nandam et al. 2001) reads (release 10) were downloaded from upstream and one 3 kbp downstream from the initial read—- http://snp.cshl.org and ftp.ncbi.nih.gov. For each read, we re- from four individuals from our diversity panel (NA03715, quired one fasta file containing the base calls and one quality NA11373, NA11589, NA14660), three from the original file containing the base-by-base, log-transformed probability African-American sample (NA17031, NA17038, NA17039) that each call is incorrect (Ewing and Green 1998). In some and one from a chimpanzee (NA03646), as shown in Figure cases, paired fasta and quality files were downloaded, and in 2c. Loci at which at least one of the flanking PCR sites had some cases, the chromatogram was downloaded and fasta and $0.7% SNPs, with a minimum of two occurrences of the minor quality files were generated in-house using PHRED (Ewing allele per SNP, were considered further (80 loci). On the basis and Green 1998; Ewing et al. 1998). The reads were then of visual inspection, we selected one SNP from each originally trimmed for quality such that each read consisted only of a amplified locus as a ‘‘tag SNP’’ for purposes of defining a pair region with .95% Q20 bp. Reads with ,100 bp fitting this of diverged haplotypes; the tag SNP was required to be in criterion were removed from the pipeline, leaving a total of apparent linkage disequilibrium with other SNPs in both the 4,295,373 reads (see Figure 1 for filtering summary). originally amplified locus and the flanking regions, and in These trimmed reads were aligned to the human reference general it was the SNP with the highest minor allele frequency sequence (build30) using BLAST (Altschul et al. 1990). We (see asterisks in Figure 2). We sequenced additional individ- retained those reads that matched the reference for at least uals (NA01814, NA10471, NA10540, NA10543, NA10975, 300 bp (3,334,762 reads) and, in addition, disagreed with the NA10976, NA11321, NA11521, NA13838, NA14663) to iden- reference at 1% or more of the aligned base pairs (402,580 tify three samples from each of the two haplotypes defined as reads).
Recommended publications
  • Applying Expression Profile Similarity for Discovery of Patient-Specific
    bioRxiv preprint doi: https://doi.org/10.1101/172015; this version posted September 17, 2017. 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. Applying expression profile similarity for discovery of patient-specific functional mutations Guofeng Meng Partner Institute of Computational Biology, Yueyang 333, Shanghai, China email: [email protected] Abstract The progress of cancer genome sequencing projects yields unprecedented information of mutations for numerous patients. However, the complexity of mutation profiles of patients hinders the further understanding of mechanisms of oncogenesis. One basic question is how to uncover mutations with functional impacts. In this work, we introduce a computational method to predict functional somatic mutations for each of patient by integrating mutation recurrence with similarity of expression profiles of patients. With this method, the functional mutations are determined by checking the mutation enrichment among a group of patients with similar expression profiles. We applied this method to three cancer types and identified the functional mutations. Comparison of the predictions for three cancer types suggested that most of the functional mutations were cancer-type-specific with one exception to p53. By checking prediction results, we found that our method effectively filtered non-functional mutations resulting from large protein sizes. In addition, this methods can also perform functional annotation to each patient to describe their association with signalling pathways or biological processes. In breast cancer, we predicted "cell adhesion" and other mutated gene associated terms to be significantly enriched among patients.
    [Show full text]
  • Evaluation of Copy-Number Variants As Modifiers of Breast and Ovarian
    European Journal of Human Genetics (2017) 25, 432–438 Official journal of The European Society of Human Genetics www.nature.com/ejhg ARTICLE Corrected: Correction Evaluation of copy-number variants as modifiers of breast and ovarian cancer risk for BRCA1 pathogenic variant carriers Logan C Walker1,31, Louise Marquart2,31, John F Pearson3, George AR Wiggins1, Tracy A O'Mara4, Michael T Parsons4, BCFR5, Daniel Barrowdale6, Lesley McGuffog6, Joe Dennis6, Javier Benitez7, Thomas P Slavin8, Paolo Radice9, Debra Frost6, EMBRACE6, Andrew K Godwin10, Alfons Meindl11, Rita Katharina Schmutzler12, GEMO Study Collaborators13,14, Claudine Isaacs15, Beth N Peshkin15, Trinidad Caldes16, Frans BL Hogervorst17, HEBON18, Conxi Lazaro19, Anna Jakubowska20, Marco Montagna21, KConFab Investigators22,23, Xiaoqing Chen4, Kenneth Offit24, Peter J Hulick25, Irene L Andrulis26, Annika Lindblom27, Robert L Nussbaum28, Katherine L Nathanson29, Georgia Chenevix-Trench4, Antonis C Antoniou6, Fergus J Couch30 and Amanda B Spurdle4 Genome-wide studies of patients carrying pathogenic variants (mutations) in BRCA1 or BRCA2 have reported strong associations between single-nucleotide polymorphisms (SNPs) and cancer risk. To conduct the first genome-wide association analysis of copy- number variants (CNVs) with breast or ovarian cancer risk in a cohort of 2500 BRCA1 pathogenic variant carriers, CNV discovery was performed using multiple calling algorithms and Illumina 610k SNP array data from a previously published genome-wide association study. Our analysis, which focused on functionally disruptive genomic deletions overlapping gene regions, identified a number of loci associated with risk of breast or ovarian cancer for BRCA1 pathogenic variant carriers. Despite only including putative deletions called by at least two or more algorithms, detection of selected CNVs by ancillary molecular technologies only confirmed 40% of predicted common (41% allele frequency) variants.
    [Show full text]
  • Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness
    Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Berndt, S. I., Z. Wang, M. Yeager, M. C. Alavanja, D. Albanes, L. Amundadottir, G. Andriole, et al. 2015. “Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness.” Nature communications 6 (1): 6889. doi:10.1038/ncomms7889. http:// dx.doi.org/10.1038/ncomms7889. Published Version doi:10.1038/ncomms7889 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:23845382 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author Manuscript Author ManuscriptNat Commun Author Manuscript. Author manuscript; Author Manuscript available in PMC 2015 November 05. Published in final edited form as: Nat Commun. ; 6: 6889. doi:10.1038/ncomms7889. Two Susceptibility Loci Identified for Prostate Cancer Aggressiveness Sonja I. Berndt1,*, Zhaoming Wang1,2,*, Meredith Yeager1,2, Michael C. Alavanja1, Demetrius Albanes1, Laufey Amundadottir1, Gerald Andriole3, Laura Beane Freeman1, Daniele Campa4, Geraldine Cancel-Tassin5, Federico Canzian6, Jean-Nicolas Cornu1, Olivier Cussenot5, W. Ryan Diver7, Susan M. Gapstur7, Henrik Grönberg8, Christopher A. Haiman9, Brian Henderson9, Amy Hutchinson2, David J. Hunter10, Timothy J. Key11, Suzanne Kolb12, Stella Koutros1, Peter Kraft10, Loic Le Marchand13, Sara Lindström10, Mitchell J. Machiela1, Elaine A. Ostrander14, Elio Riboli15, Fred Schumacher9, Afshan Siddiq16, Janet L. Stanford12,17, Victoria L.
    [Show full text]
  • Apoptotic Cells Inflammasome Activity During the Uptake of Macrophage
    Downloaded from http://www.jimmunol.org/ by guest on September 29, 2021 is online at: average * The Journal of Immunology , 26 of which you can access for free at: 2012; 188:5682-5693; Prepublished online 20 from submission to initial decision 4 weeks from acceptance to publication April 2012; doi: 10.4049/jimmunol.1103760 http://www.jimmunol.org/content/188/11/5682 Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E. Benoit, Elizabeth V. Clarke, Pedro Morgado, Deborah A. Fraser and Andrea J. Tenner J Immunol cites 56 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription http://www.jimmunol.org/content/suppl/2012/04/20/jimmunol.110376 0.DC1 This article http://www.jimmunol.org/content/188/11/5682.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 29, 2021. The Journal of Immunology Complement Protein C1q Directs Macrophage Polarization and Limits Inflammasome Activity during the Uptake of Apoptotic Cells Marie E.
    [Show full text]
  • Analysis of Head and Neck Carcinoma Progression Reveals Novel And
    bioRxiv preprint doi: https://doi.org/10.1101/365205; this version posted July 9, 2018. 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. Analysis of head and neck carcinoma progression reveals novel and relevant stage-specific changes associated with immortalisation and malignancy. Ratna Veeramachaneni1¶#a, Thomas Walker1¶, Antoine De Weck2&#b, Timothée Revil3&, Dunarel Badescu3&, James O’Sullivan1, Catherine Higgins4, Louise Elliott4, Triantafillos Liloglou5, Janet M. Risk5, Richard Shaw5,6, Lynne Hampson1, Ian Hampson1, Simon Dearden7, Robert 8 9 10 9 Woodwards , Stephen Prime , Keith Hunter , Eric Kenneth Parkinson , Ioannis Ragoussis3, Nalin Thakker1,4* 1. Faculty of Biology, Medicine and Health, University of Manchester, Manchester UK 2. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK 3. McGill University and Genome Quebec Innovation Centre, McGill University, Montreal, Quebec, Canada 4. Department of Cellular Pathology, Manchester University NHS Foundation Trust, Manchester, UK 5. Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool 6. Department of Head and Neck Surgery, Aintree University Hospitals NHS Foundation Trust. 1 bioRxiv preprint doi: https://doi.org/10.1101/365205; this version posted July 9, 2018. 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. 7.
    [Show full text]
  • E5e7661d4e837603a927bccb3b
    www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 34 Research Paper Identification and validation of regulatory SNPs that modulate transcription factor chromatin binding and gene expression in prostate cancer Hong-Jian Jin1, Segun Jung1, Auditi R. DebRoy1, Ramana V. Davuluri1 1Division of Health and Biomedical Informatics, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA Correspondence to: Ramana Davuluri, email: [email protected] Keywords: SNP, prostate cancer, transcription factor, CRISPR/Cas9, eQTL Received: March 23, 2016 Accepted: May 23, 2016 Published: July 09, 2016 ABSTRACT Prostate cancer (PCa) is the second most common solid tumor for cancer related deaths in American men. Genome wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) associated with the increased risk of PCa. Because most of the susceptibility SNPs are located in noncoding regions, little is known about their functional mechanisms. We hypothesize that functional SNPs reside in cell type-specific regulatory elements that mediate the binding of critical transcription factors (TFs), which in turn result in changes in target gene expression. Using PCa-specific functional genomics data, here we identify 38 regulatory candidate SNPs and their target genes in PCa. Through risk analysis by incorporating gene expression and clinical data, we identify 6 target genes (ZG16B, ANKRD5, RERE, FAM96B, NAALADL2 and GTPBP10) as significant predictors of PCa biochemical recurrence. In addition, 5 SNPs (rs2659051, rs10936845, rs9925556, rs6057110 and rs2742624) are selected for experimental validation using Chromatin immunoprecipitation (ChIP), dual-luciferase reporter assay in LNCaP cells, showing allele-specific enhancer activity. Furthermore, we delete the rs2742624-containing region using CRISPR/Cas9 genome editing and observe the drastic downregulation of its target gene UPK3A.
    [Show full text]
  • Investigating Common Pathogenic Mechanisms Between Homo Sapiens and Different Strains of Candida Albicans for Drug Design
    toxins Article Investigating Common Pathogenic Mechanisms between Homo sapiens and Different Strains of Candida albicans for Drug Design: Systems Biology Approach via Two-Sided NGS Data Identification Shan-Ju Yeh 1, Chun-Chieh Yeh 1, Chung-Yu Lan 2,3 and Bor-Sen Chen 1,4,* 1 Laboratory of Control and Systems Biology, Department of Electrical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan; [email protected] (S.-J.Y.); [email protected] (C.-C.Y.) 2 Institute of Molecular and Cellular Biology, National Tsing Hua University, Hsinchu 30013, Taiwan; [email protected] 3 Department of Life Science, National Tsing Hua University, Hsinchu 30013, Taiwan 4 Department of Electrical Engineering, Yuan Ze University, Chungli 32003, Taiwan * Correspondence: [email protected] Received: 31 December 2018; Accepted: 11 February 2019; Published: 15 February 2019 Abstract: Candida albicans (C. albicans) is the most prevalent fungal species. Although it is a healthy microbiota, genetic and epigenetic alterations in host and pathogen, and microenvironment changes would lead to thrush, vaginal yeast infection, and even hematogenously disseminated infection. Despite the fact that cytotoxicity is well-characterized, few studies discuss the genome-wide genetic and epigenetic molecular mechanisms between host and C. albicans. The aim of this study is to identify drug targets and design a multiple-molecule drug to prevent the infection from C. albicans. To investigate the common and specific pathogenic mechanisms in human oral epithelial OKF6/TERT-2 cells during the C. albicans infection in different strains, systems modeling and big databases mining were used to construct candidate host–pathogen genetic and epigenetic interspecies network (GEIN).
    [Show full text]
  • Genomic Instability in Induced Stem Cells
    Cell Death and Differentiation (2011) 18, 745–753 & 2011 Macmillan Publishers Limited All rights reserved 1350-9047/11 www.nature.com/cdd Genomic instability in induced stem cells CE Pasi1,8, A Dereli-O¨ z2,8, S Negrini2,8, M Friedli3, G Fragola1,4, A Lombardo5, G Van Houwe2, L Naldini5, S Casola4, G Testa1, D Trono3, PG Pelicci*,1,6 and TD Halazonetis*,2,7 The ability to reprogram adult cells into stem cells has raised hopes for novel therapies for many human diseases. Typical stem cell reprogramming protocols involve expression of a small number of genes in differentiated somatic cells with the c-Myc and Klf4 proto-oncogenes typically included in this mix. We have previously shown that expression of oncogenes leads to DNA replication stress and genomic instability, explaining the high frequency of p53 mutations in human cancers. Consequently, we wondered whether stem cell reprogramming also leads to genomic instability. To test this hypothesis, we examined stem cells induced by a variety of protocols. The first protocol, developed specifically for this study, reprogrammed primary mouse mammary cells into mammary stem cells by expressing c-Myc. Two other previously established protocols reprogrammed mouse embryo fibroblasts into induced pluripotent stem cells by expressing either three genes, Oct4, Sox2 and Klf4, or four genes, OSK plus c-Myc. Comparative genomic hybridization analysis of stem cells derived by these protocols revealed the presence of genomic deletions and amplifications, whose signature was suggestive of oncogene-induced DNA replication stress. The genomic aberrations were to a significant degree dependent on c-Myc expression and their presence could explain why p53 inactivation facilitates stem cell reprogramming.
    [Show full text]
  • Three Classes of Recurrent DNA Break Clusters in Brain Progenitors Identified by 3D Proximity-Based Break Joining Assay
    Three classes of recurrent DNA break clusters in brain progenitors identified by 3D proximity-based break joining assay Pei-Chi Weia,b,c,1, Cheng-Sheng Leea,b,c,1, Zhou Dua,b,c, Bjoern Schwera,b,c,2, Yuxiang Zhanga,b,c, Jennifer Kaoa,b,c, Jeffrey Zuritaa,b,c, and Frederick W. Alta,b,c,3 aHoward Hughes Medical Institute, Harvard Medical School, Boston, MA 02115; bProgram in Cellular and Molecular Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115; and cDepartment of Genetics, Harvard Medical School, Boston, MA 02115 Contributed by Frederick W. Alt, January 9, 2018 (sent for review November 17, 2017; reviewed by Fred H. Gage and Irving L. Weissman) We recently discovered 27 recurrent DNA double-strand break Over the past decade, we have developed and refined high- (DSB) clusters (RDCs) in mouse neural stem/progenitor cells (NSPCs). throughput genome-wide translocation sequencing (HTGTS) Most RDCs occurred across long, late-replicating RDC genes and to identify recurrent endogenous DSBs (13–15). Application of were found only after mild inhibition of DNA replication. RDC genes the HTGTS approach recently allowed us to map a set of re- share intriguing characteristics, including encoding surface proteins currently breaking genes in mouse neural stem/progenitor that organize brain architecture and neuronal junctions, and are cells (NSPCs) (16). genetically implicated in neuropsychiatric disorders and/or cancers. HTGTS maps, at nucleotide resolution, genome-wide DSBs RDC identification relies on high-throughput genome-wide trans- based on their ability to translocate to a “bait” DSB introduced location sequencing (HTGTS), which maps recurrent DSBs based on at a specific chromosomal location (13–15).
    [Show full text]
  • The Oncological Relevance of Fragile Sites in Cancer ✉ Benjamin S
    PERSPECTIVE https://doi.org/10.1038/s42003-021-02020-5 OPEN The oncological relevance of fragile sites in cancer ✉ Benjamin S. Simpson 1, Hayley Pye 1 & Hayley C. Whitaker 1 Recent developments in sequencing the cancer genome have provided the first in-depth mapping of structural variants (SV) across 38 tumour types. Sixteen signatures of structural variants have been proposed which broadly characterise the variation seen across cancer types. One signature shows increased duplications and deletions at fragile sites, with little association with the typical DNA repair defects. We discuss how, for many of these fragile sites, the clinical impacts are yet to be explored. One example is NAALADL2, one of the most frequently altered fragile sites in the cancer genome. The copy-number variations (CNVs) which occur at fragile sites, such as NAALADL2, may span many genes without typical DNA 1234567890():,; repair defects and could have a large impact on cell signalling. ragile sites are specific loci that are vulnerable to breaks and constrictions when chromo- Fsomes are exposed to replication stress, acting as genomic ‘fault lines’1. Recently, Li et al. provided the most detailed account of structural variants (SV) in the cancer genome to date where researchers derived 16 distinct signatures of structural rearrangement. The signatures were characterised by an over-representation of a particular SV class, size, replication timing and genomic location. They also compared the co-occurrence of these signatures with known pathogenic mutations in key DNA repair genes (e.g. ATM, BRCA1, BRCA2). The fragile sites signature showed only moderate co-occurrence with alterations in DNA repair genes, instead being characterised by deletions and tandem duplications at chromosomal fragile sites2.
    [Show full text]
  • Koch Shrna Gene Webpage
    Symbol SEPT9 ADAM30 AEN AMBP ARHGEF12 ATG16L2 BCAS3 A1CF ADAM32 AFF3 AMBRA1 ARHGEF17 ATG2A BCKDK AAK1 ADAM33 AGAP2 AMHR2 ARHGEF2 ATG3 BCL10 AATK ADAM7 AGER AMPH ARHGEF4 ATG4B BCL11A ABCA1 ADAM8 AGK ANAPC2 ARHGEF6 ATG4C BCL11B ABCA3 ADAM9 AGL ANG ARHGEF7 ATG4D BCL2 ABCB1 ADAMDEC1 AGPAT9 ANGPT2 ARID1A ATG5 BCL2L1 ABCB4 ADAMTS1 AGR3 ANGPTL4 ARID1B ATG7 BCL2L11 ABCC1 ADAMTS10 AHR ANKK1 ARID2 ATM BCL2L2 ABCC10 ADAMTS12 AIMP2 ANKRD30A ARID3A ATMIN BCL3 ABCC2 ADAMTS13 AIP ANO1 ARID3B ATP1B3 BCL6 ABCG2 ADAMTS14 AJAP1 ANXA1 ARID4B ATP2B4 BCL7A ABI1 ADAMTS15 AK1 ANXA2 ARID5A ATP7A BCL9 ABL1 ADAMTS16 AK2 ANXA6 ARID5B ATP7B BCR ABL2 ADAMTS17 AK3 ANXA7 ARL11 ATR BECN1 ACIN1 ADAMTS18 AK4 APAF1 ARNT ATRX BFAR ACP1 ADAMTS19 AK5 APC ARSB ATXN1 BIK ACPP ADAMTS2 AK7 APCDD1 ARSG ATXN2 BIN1 ACSL4 ADAMTS20 AK8 APEX1 ASAP1 AURKA BIN2 ACTN1 ADAMTS3 AKAP1 APOBEC1 ASAP3 AURKB BIRC2 ACVR1 ADAMTS4 AKAP13 APOBEC2 ASB15 AURKC BIRC3 ACVR1B ADAMTS5 AKAP3 APOBEC3G ASCC1 AXIN1 BIRC5 ACVR1C ADAMTS7 AKAP8L AQP1 ASCC3 AXIN2 BIRC7 ACVR2A ADAMTS8 AKR1B10 AQP5 ASCL1 AXL BLCAP ACVR2B ADAMTS9 AKR1C1 AQP7 ASCL2 AZGP1 BLK ACVRL1 ADAR AKR1C3 AR ASF1A BACE1 BLM AD026 ADARB1 AKT1 ARAF ASH1L BAD BMI1 ADAM10 ADARB2 AKT2 AREG ASH2L BAG1 BMP2 ADAM11 ADAT2 AKT3 ARF1 ASNS BAG4 BMP2K ADAM12 ADCK1 ALCAM ARF4 ASPH BANF1 BMP2KL ADAM15 ADCK2 ALDH18A1 ARF5 ASPSCR1 BAP1 BMPR1A ADAM17 ADCK3 ALK ARF6 ASS1 BARD1 BMPR1B ADAM18 ADCK4 ALKBH2 ARHGAP12 ASTE1 BAX BMPR2 ADAM19 ADCK5 ALKBH3 ARHGAP22 ASXL1 BAZ1A BMX ADAM2 ADCY6 ALKBH8 ARHGAP25 ATF1 BAZ1B BNIP3 ADAM20 ADK ALOX15 ARHGAP26 ATF2 BAZ2A BPTF ADAM21
    [Show full text]
  • High Expression of the Sd Synthase B4GALNT2 Associates with Good
    cells Article High Expression of the Sda Synthase B4GALNT2 Associates with Good Prognosis and Attenuates Stemness in Colon Cancer Michela Pucci y, Inês Gomes Ferreira y, Martina Orlandani, Nadia Malagolini, Manuela Ferracin and Fabio Dall’Olio * Department of Experimental, Diagnostic and Specialty Medicine (DIMES), General Pathology Building, University of Bologna, Via San Giacomo 14, Via San Giacomo 14, 40126 Bologna, Italy; [email protected] (M.P.); [email protected] (I.G.F.); [email protected] (M.O.); [email protected] (N.M.); [email protected] (M.F.) * Correspondence: [email protected]; Tel.: +39-051-2094704 These authors have equal contribution. y Received: 25 February 2020; Accepted: 7 April 2020; Published: 11 April 2020 Abstract: Background: The carbohydrate antigen Sda and its biosynthetic enzyme B4GALNT2 are highly expressed in normal colonic mucosa but are down-regulated to a variable degree in colon cancer tissues. Here, we investigated the clinical and biological importance of B4GALNT2 in colon cancer. Methods: Correlations of B4GALNT2 mRNA with clinical data were obtained from The Cancer Genome Atlas (TCGA) database; the phenotypic and transcriptomic changes induced by B4GALNT2 were studied in LS174T cells transfected with B4GALNT2 cDNA. Results: TCGA data indicate that patients with high B4GALNT2 expression in cancer tissues display longer survival than non-expressers. In LS174T cells, expression of B4GALNT2 did not affect the ability to heal a scratch wound or to form colonies in standard growth conditions but markedly reduced the growth in soft agar, the tridimensional (3D) growth as spheroids, and the number of cancer stem cells, indicating a specific effect of B4GALNT2 on the growth in poor adherence and stemness.
    [Show full text]