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"Paleogenomics" In
Rev. Cell Biol. Mol. Medicine Paleogenomics 243 Paleogenomics Peter D. Heintzman*, André E. R. Soares*, Dan Chang, and Beth Shapiro Department of Ecology and Evolutionary Biology, University of California Santa Cruz, Santa Cruz, California 95064, USA 1 Reconstructing Paleogenomes 245 1.1 Ancient DNA 245 1.1.1 The Nature of Ancient DNA 245 1.1.2 The Common Effects of DNA Damage 246 1.2 The Recovery and Sequencing of Ancient DNA 246 1.2.1 Ancient DNA Extraction 246 1.2.2 DNA Library Preparation 247 1.2.3 Capture-Based Target Enrichment 248 1.2.4 Quantification of aDNA and Sequencing 249 1.3 Assembly and Analysis of a Paleogenome 250 1.3.1 Initial Data Processing 251 1.3.2 Mapping and Quality Control 252 1.3.3 Paleogenomic Analysis 253 2 Case Studies 253 2.1 Hominin Paleogenomics 253 2.1.1 The Origin of Hominin Paleogenetics 253 2.1.2 Entering the Paleogenomics Era 254 2.1.3 The First Complete Human Paleogenome 255 2.1.4 Human and Neandertal Paleogenomics 255 2.2 The Black Death and Insights into Ancient Plagues 257 2.3 Reconstruction and Selection of Ancient Phenotypes 258 2.4 Epigenetics of Ancient Species 260 3 Conclusions 261 Acknowledgments 261 References 261 ∗These authors contributed equally to this study. © 2015 Wiley-VCH Verlag GmbH & Co. KGaA Vol 1 | No 3 | 2015 244 Paleogenomics Rev. Cell Biol. Mol. Medicine Keywords Paleogenomics The science of reconstructing and analyzing the genomes of organisms that are not alive in the present day. Ancient DNA (aDNA) Ancient DNA is DNA that is extracted and characterized from degraded biological spec- imens, including preserved bones, teeth, hair, seeds, or other tissues. -
New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology
Cancer Research and Treatment 2003;35(4):304-313 New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology Yong-Wan Kim, Ph.D.1, Min-Je Suh, M.S.1, Jin-Sik Bae, M.S.1, Su Mi Bae, M.S.1, Joo Hee Yoon, M.D.2, Soo Young Hur, M.D.2, Jae Hoon Kim, M.D.2, Duck Young Ro, M.D.2, Joon Mo Lee, M.D.2, Sung Eun Namkoong, M.D.2, Chong Kook Kim, Ph.D.3 and Woong Shick Ahn, M.D.2 1Catholic Research Institutes of Medical Science, 2Department of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, Seoul; 3College of Pharmacy, Seoul National University, Seoul, Korea Purpose: This study utilized both mRNA differential significant genes of unknown function affected by the display and the Gene Ontology (GO) analysis to char- HPV-16-derived pathway. The GO analysis suggested that acterize the multiple interactions of a number of genes the cervical cancer cells underwent repression of the with gene expression profiles involved in the HPV-16- cancer-specific cell adhesive properties. Also, genes induced cervical carcinogenesis. belonging to DNA metabolism, such as DNA repair and Materials and Methods: mRNA differential displays, replication, were strongly down-regulated, whereas sig- with HPV-16 positive cervical cancer cell line (SiHa), and nificant increases were shown in the protein degradation normal human keratinocyte cell line (HaCaT) as a con- and synthesis. trol, were used. Each human gene has several biological Conclusion: The GO analysis can overcome the com- functions in the Gene Ontology; therefore, several func- plexity of the gene expression profile of the HPV-16- tions of each gene were chosen to establish a powerful associated pathway, identify several cancer-specific cel- cervical carcinogenesis pathway. -
Inference of Natural Selection from Ancient DNA
COMMENT AND OPINION doi:10.1002/evl3.165 Inference of natural selection from ancient DNA Marianne Dehasque,1,2,3,4 Marıa´ C. Avila-Arcos,´ 5 David Dıez-del-Molino,´ 1,3 Matteo Fumagalli,6 Katerina Guschanski,7 Eline D. Lorenzen,8 Anna-Sapfo Malaspinas,9,10 Tomas Marques-Bonet,11,12,13,14 Michael D. Martin,15 Gemma G. R. Murray,16 Alexander S. T. Papadopulos,17 Nina Overgaard Therkildsen,18 Daniel Wegmann,19,20 Love Dalen,´ 1,2 and Andrew D. Foote17,21 1Centre for Palaeogenetics 10691, Stockholm, Sweden 2Department of Bioinformatics and Genetics, Swedish Museum of Natural History 10405 Stockholm, Sweden 3Department of Zoology, Stockholm University 10691 Stockholm, Sweden 4E-mail: [email protected] 5International Laboratory for Human Genome Research (LIIGH), UNAM Juriquilla, Queretaro 76230, Mexico 6Department of Life Sciences, Silwood Park Campus, Imperial College London, Ascot SL5 7PY, United Kingdom 7Animal Ecology, Department of Ecology and Genetics, Science for Life Laboratory, Uppsala University 75236, Uppsala, Sweden 8Globe Institute, University of Copenhagen DK-1350, Copenhagen, Denmark 9Department of Computational Biology, University of Lausanne 1015, Lausanne, Switzerland 10SIB Swiss Institute of Bioinformatics 1015, Lausanne, Switzerland 11Institut de Biologia Evolutiva, (CSIC-Universitat Pompeu Fabra), Parc de Recerca Biomedica` de Barcelona, Barcelona, Spain 12National Centre for Genomic Analysis—Centre for Genomic Regulation, Barcelona Institute of Science and Technology 08028, Barcelona, Spain 13Institucio Catalana -
1 Canonical BAF Complex in Regulatory T Cells 2 3 Chin
bioRxiv preprint doi: https://doi.org/10.1101/2020.02.26.964981; this version posted February 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 A genome-wide CRISPR screen reveals a role for the BRD9-containing non- 2 canonical BAF complex in regulatory T cells 3 4 Chin-San Loo1,3,#, Jovylyn Gatchalian2,#, Yuqiong Liang1, Mathias Leblanc1, Mingjun 5 Xie1, Josephine Ho2, Bhargav Venkatraghavan1, Diana C. Hargreaves2*, and Ye 6 Zheng1* 7 8 1. NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for 9 Biological Studies 10 2. Molecular and Cellular Biology Laboratory, Salk Institute for Biological Studies 11 3. Division of Biological Sciences, University of California, San Diego 12 # Co-first authors 13 * Co-corresponding authors 14 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.02.26.964981; this version posted February 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 15 Summary 16 Regulatory T cells (Tregs) play a pivotal role in suppressing auto-reactive T cells 17 and maintaining immune homeostasis. Treg development and function are 18 dependent on the transcription factor Foxp3. Here we performed a genome-wide 19 CRISPR/Cas9 knockout screen to identify the regulators of Foxp3 in mouse 20 primary Tregs. The results showed that Foxp3 regulators are highly enriched in 21 genes encoding SWI/SNF and SAGA complex subunits. Among the three 22 SWI/SNF-related complexes, the non-canonical or ncBAF (also called GBAF or 23 BRD9-containing BAF) complex promoted the expression of Foxp3, whereas the 24 PBAF complex repressed its expression. -
Plenary and Platform Abstracts
American Society of Human Genetics 68th Annual Meeting PLENARY AND PLATFORM ABSTRACTS Abstract #'s Tuesday, October 16, 5:30-6:50 pm: 4. Featured Plenary Abstract Session I Hall C #1-#4 Wednesday, October 17, 9:00-10:00 am, Concurrent Platform Session A: 6. Variant Insights from Large Population Datasets Ballroom 20A #5-#8 7. GWAS in Combined Cancer Phenotypes Ballroom 20BC #9-#12 8. Genome-wide Epigenomics and Non-coding Variants Ballroom 20D #13-#16 9. Clonal Mosaicism in Cancer, Alzheimer's Disease, and Healthy Room 6A #17-#20 Tissue 10. Genetics of Behavioral Traits and Diseases Room 6B #21-#24 11. New Frontiers in Computational Genomics Room 6C #25-#28 12. Bone and Muscle: Identifying Causal Genes Room 6D #29-#32 13. Precision Medicine Initiatives: Outcomes and Lessons Learned Room 6E #33-#36 14. Environmental Exposures in Human Traits Room 6F #37-#40 Wednesday, October 17, 4:15-5:45 pm, Concurrent Platform Session B: 24. Variant Interpretation Practices and Resources Ballroom 20A #41-#46 25. Integrated Variant Analysis in Cancer Genomics Ballroom 20BC #47-#52 26. Gene Discovery and Functional Models of Neurological Disorders Ballroom 20D #53-#58 27. Whole Exome and Whole Genome Associations Room 6A #59-#64 28. Sequencing-based Diagnostics for Newborns and Infants Room 6B #65-#70 29. Omics Studies in Alzheimer's Disease Room 6C #71-#76 30. Cardiac, Valvular, and Vascular Disorders Room 6D #77-#82 31. Natural Selection and Human Phenotypes Room 6E #83-#88 32. Genetics of Cardiometabolic Traits Room 6F #89-#94 Wednesday, October 17, 6:00-7:00 pm, Concurrent Platform Session C: 33. -
The Complex SNP and CNV Genetic Architecture of the Increased Risk of Congenital Heart Defects in Down Syndrome
Downloaded from genome.cshlp.org on September 24, 2021 - Published by Cold Spring Harbor Laboratory Press Research The complex SNP and CNV genetic architecture of the increased risk of congenital heart defects in Down syndrome M. Reza Sailani,1,2 Periklis Makrythanasis,1 Armand Valsesia,3,4,5 Federico A. Santoni,1 Samuel Deutsch,1 Konstantin Popadin,1 Christelle Borel,1 Eugenia Migliavacca,1 Andrew J. Sharp,1,20 Genevieve Duriaux Sail,1 Emilie Falconnet,1 Kelly Rabionet,6,7,8 Clara Serra-Juhe´,7,9 Stefano Vicari,10 Daniela Laux,11 Yann Grattau,12 Guy Dembour,13 Andre Megarbane,12,14 Renaud Touraine,15 Samantha Stora,12 Sofia Kitsiou,16 Helena Fryssira,16 Chariklia Chatzisevastou-Loukidou,16 Emmanouel Kanavakis,16 Giuseppe Merla,17 Damien Bonnet,11 Luis A. Pe´rez-Jurado,7,9 Xavier Estivill,6,7,8 Jean M. Delabar,18 and Stylianos E. Antonarakis1,2,19,21 1–19[Author affiliations appear at the end of the paper.] Congenital heart defect (CHD) occurs in 40% of Down syndrome (DS) cases. While carrying three copies of chromosome 21 increases the risk for CHD, trisomy 21 itself is not sufficient to cause CHD. Thus, additional genetic variation and/or environmental factors could contribute to the CHD risk. Here we report genomic variations that in concert with trisomy 21, determine the risk for CHD in DS. This case-control GWAS includes 187 DS with CHD (AVSD = 69, ASD = 53, VSD = 65) as cases, and 151 DS without CHD as controls. Chromosome 21–specific association studies revealed rs2832616 and rs1943950 as CHD risk alleles (adjusted genotypic P-values <0.05). -
UNIVERSITY of CALIFORNIA RIVERSIDE Investigations Into The
UNIVERSITY OF CALIFORNIA RIVERSIDE Investigations into the Role of TAF1-mediated Phosphorylation in Gene Regulation A Dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Cell, Molecular and Developmental Biology by Brian James Gadd December 2012 Dissertation Committee: Dr. Xuan Liu, Chairperson Dr. Frank Sauer Dr. Frances M. Sladek Copyright by Brian James Gadd 2012 The Dissertation of Brian James Gadd is approved Committee Chairperson University of California, Riverside Acknowledgments I am thankful to Dr. Liu for her patience and support over the last eight years. I am deeply indebted to my committee members, Dr. Frank Sauer and Dr. Frances Sladek for the insightful comments on my research and this dissertation. Thanks goes out to CMDB, especially Dr. Bachant, Dr. Springer and Kathy Redd for their support. Thanks to all the members of the Liu lab both past and present. A very special thanks to the members of the Sauer lab, including Silvia, Stephane, David, Matt, Stephen, Ninuo, Toby, Josh, Alice, Alex and Flora. You have made all the years here fly by and made them so enjoyable. From the Sladek lab I want to thank Eugene, John, Linh and Karthi. Special thanks go out to all the friends I’ve made over the years here. Chris, Amber, Stephane and David, thank you so much for feeding me, encouraging me and keeping me sane. Thanks to the brothers for all your encouragement and prayers. To any I haven’t mentioned by name, I promise I haven’t forgotten all you’ve done for me during my graduate years. -
Paleogenomics of Animal Domestication
Paleogenomics of Animal Domestication Evan K. Irving-Pease, Hannah Ryan, Alexandra Jamieson, Evangelos A. Dimopoulos, Greger Larson, and Laurent A. F. Frantz Abstract Starting with dogs, over 15,000 years ago, the domestication of animals has been central in the development of modern societies. Because of its importance for a range of disciplines – including archaeology, biology and the humanities – domestication has been studied extensively. This chapter reviews how the field of paleogenomics has revolutionised, and will continue to revolutionise, our under- standing of animal domestication. We discuss how the recovery of ancient DNA from archaeological remains is allowing researchers to overcome inherent shortcom- ings arising from the analysis of modern DNA alone. In particular, we show how DNA, extracted from ancient substrates, has proven to be a crucial source of information to reconstruct the geographic and temporal origin of domestic species. We also discuss how ancient DNA is being used by geneticists and archaeologists to directly observe evolutionary changes linked to artificial and natural selection to generate a richer understanding of this fascinating process. Keywords Ancient DNA · Archaeology · Domestication · Entomology · Evolution · Genomics · Zoology E. K. Irving-Pease (*) · H. Ryan · A. Jamieson · E. A. Dimopoulos · G. Larson The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK e-mail: [email protected] L. A. F. Frantz (*) The Palaeogenomics and Bio-Archaeology Research Network, Research Laboratory for Archaeology and History of Art, University of Oxford, Oxford, UK School of Biological and Chemical Sciences, Queen Mary University of London, London, UK e-mail: [email protected] Charlotte Lindqvist and Om P. -
Metastatic Adrenocortical Carcinoma Displays Higher Mutation Rate and Tumor Heterogeneity Than Primary Tumors
ARTICLE DOI: 10.1038/s41467-018-06366-z OPEN Metastatic adrenocortical carcinoma displays higher mutation rate and tumor heterogeneity than primary tumors Sudheer Kumar Gara1, Justin Lack2, Lisa Zhang1, Emerson Harris1, Margaret Cam2 & Electron Kebebew1,3 Adrenocortical cancer (ACC) is a rare cancer with poor prognosis and high mortality due to metastatic disease. All reported genetic alterations have been in primary ACC, and it is 1234567890():,; unknown if there is molecular heterogeneity in ACC. Here, we report the genetic changes associated with metastatic ACC compared to primary ACCs and tumor heterogeneity. We performed whole-exome sequencing of 33 metastatic tumors. The overall mutation rate (per megabase) in metastatic tumors was 2.8-fold higher than primary ACC tumor samples. We found tumor heterogeneity among different metastatic sites in ACC and discovered recurrent mutations in several novel genes. We observed 37–57% overlap in genes that are mutated among different metastatic sites within the same patient. We also identified new therapeutic targets in recurrent and metastatic ACC not previously described in primary ACCs. 1 Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 2 Center for Cancer Research, Collaborative Bioinformatics Resource, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA. 3 Department of Surgery and Stanford Cancer Institute, Stanford University, Stanford, CA 94305, USA. Correspondence and requests for materials should be addressed to E.K. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:4172 | DOI: 10.1038/s41467-018-06366-z | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-06366-z drenocortical carcinoma (ACC) is a rare malignancy with types including primary ACC from the TCGA to understand our A0.7–2 cases per million per year1,2. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
This Thesis Has Been Submitted in Fulfilment of the Requirements for a Postgraduate Degree (E.G
This thesis has been submitted in fulfilment of the requirements for a postgraduate degree (e.g. PhD, MPhil, DClinPsychol) at the University of Edinburgh. Please note the following terms and conditions of use: This work is protected by copyright and other intellectual property rights, which are retained by the thesis author, unless otherwise stated. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the author. The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author. When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given. Identification and characterisation of novel factors involved in the nonsense-mediated mRNA decay (NMD) pathway Angela Casadio Thesis presented for the degree of Doctor of Philosophy The University of Edinburgh 2016 Declaration I declare that this thesis is of my own composition. The work presented in this thesis is my own, unless otherwise stated, and has not been presented for any other degree or professional qualification. Angela Casadio ii Acknowledgements First and foremost, I would like to thank my supervisor Javier for making this possible. I have really enjoyed working on a field I knew little about when I started my project, I’ve learnt a lot in the past four years and I will treasure the experience! A huge thank you goes to Dasa for all the help and good advice she gave me during the course of my PhD. -
What's in a Neanderthal
WHAT’S IN A NEANDERTHAL: A COMPARATIVE ANALYSIS Taylorlyn Stephan Oberlin College Dept. of Anthropology Advised by Prof. Amy Margaris TABLE OF CONTENTS I. Abstract – pg. 3 II. Introduction – pg. 3-4 III. Historical Background – pg. 4-5 a. Fig. 1 – pg. 5 IV. Methods – pg. 5-8 a. Figs. 2 and 3 – pg. 6 V. Genomic Definitions – pg. 8-9 VI. Site Introduction – pg. 9-10 a. Fig 4 – pg. 10 VII. El Sidron – pg. 10-14 a. Table – pg. 10-12 b. Figs. 5-7 – pg. 12 c. Figs. 8 and 9 – pg. 13 VIII. Mezmaiskaya – pg. 14-18 a. Table – pg. 14-16 b. Figs. 10 and 11 – pg. 16 IX. Shanidar – pg. 18-22 a. Table – pg. 19-20 b. Figs. 12 and 13 – pg.21 X. Vindija – pg. 22-28 a. Table – pg. 23-25 b. Fig. 14 – pg. 25 c. Figs. 15-18 – pg. 26 XI. The Neanderthal Genome Project – pg. 28-32 a. Table – pg. 29 b. Fig. 19 – pg. 29 c. Figs. 20 and 21 – pg. 30 XII. Discussion – pg. 32- 36 XIII. Conclusion – pg. 36-38 XIV. Bibliography – pg. 38-42 2 ABSTRACT In this analysis, I seek to understand how three separate lines of evidence – skeletal morphology, archaeology, and genomics – are used separately and in tandem to produce taxonomic classifications in Neanderthal and paleoanthropological research more generally. To do so, I have selected four sites as case studies: El Sidrón Cave, Mezmaiskaya Cave, Shanidar Cave, and Vindija Cave. El Sidrón, Mezmaiskaya, and Vindija all have detailed archaeological records and have yielded Neanderthal DNA.