Massively Parallel Discovery of Human-Specific Substitutions That Alter Neurodevelopmental Enhancer Activity
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Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
A High Throughput, Functional Screen of Human Body Mass Index GWAS Loci Using Tissue-Specific Rnai Drosophila Melanogaster Crosses Thomas J
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2018 A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J. Baranski Washington University School of Medicine in St. Louis Aldi T. Kraja Washington University School of Medicine in St. Louis Jill L. Fink Washington University School of Medicine in St. Louis Mary Feitosa Washington University School of Medicine in St. Louis Petra A. Lenzini Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Baranski, Thomas J.; Kraja, Aldi T.; Fink, Jill L.; Feitosa, Mary; Lenzini, Petra A.; Borecki, Ingrid B.; Liu, Ching-Ti; Cupples, L. Adrienne; North, Kari E.; and Province, Michael A., ,"A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses." PLoS Genetics.14,4. e1007222. (2018). https://digitalcommons.wustl.edu/open_access_pubs/6820 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Thomas J. Baranski, Aldi T. Kraja, Jill L. Fink, Mary Feitosa, Petra A. Lenzini, Ingrid B. Borecki, Ching-Ti Liu, L. Adrienne Cupples, Kari E. North, and Michael A. Province This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/6820 RESEARCH ARTICLE A high throughput, functional screen of human Body Mass Index GWAS loci using tissue-specific RNAi Drosophila melanogaster crosses Thomas J. -
Vast Human-Specific Delay in Cortical Ontogenesis Associated With
Supplementary information Extension of cortical synaptic development distinguishes humans from chimpanzees and macaques Supplementary Methods Sample collection We used prefrontal cortex (PFC) and cerebellar cortex (CBC) samples from postmortem brains of 33 human (aged 0-98 years), 14 chimpanzee (aged 0-44 years) and 44 rhesus macaque individuals (aged 0-28 years) (Table S1). Human samples were obtained from the NICHD Brain and Tissue Bank for Developmental Disorders at the University of Maryland, USA, the Netherlands Brain Bank, Amsterdam, Netherlands and the Chinese Brain Bank Center, Wuhan, China. Informed consent for use of human tissues for research was obtained in writing from all donors or their next of kin. All subjects were defined as normal by forensic pathologists at the corresponding brain bank. All subjects suffered sudden death with no prolonged agonal state. Chimpanzee samples were obtained from the Yerkes Primate Center, GA, USA, the Anthropological Institute & Museum of the University of Zürich-Irchel, Switzerland and the Biomedical Primate Research Centre, Netherlands (eight Western chimpanzees, one Central/Eastern and five of unknown origin). Rhesus macaque samples were obtained from the Suzhou Experimental Animal Center, China. All non-human primates used in this study suffered sudden deaths for reasons other than their participation in this study and without any relation to the tissue used. CBC dissections were made from the cerebellar cortex. PFC dissections were made from the frontal part of the superior frontal gyrus. All samples contained an approximately 2:1 grey matter to white matter volume ratio. RNA microarray hybridization RNA isolation, hybridization to microarrays, and data preprocessing were performed as described previously (Khaitovich et al. -
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Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 5 September 2018 doi:10.20944/preprints201809.0082.v1 1 Article 2 Transcriptomics as precision medicine to classify in 3 vivo models of dietary-induced atherosclerosis at 4 cellular and molecular levels 5 Alexei Evsikov 1,2, Caralina Marín de Evsikova 1,2* 6 1 Epigenetics & Functional Genomics Laboratory, Department of Molecular Medicine, Morsani College of 7 Medicine, University of South Florida, Tampa, Florida, 33612, USA; 8 2 Department of Research and Development, Bay Pines Veteran Administration Healthcare System, Bay 9 Pines, FL 33744, USA 10 11 * Correspondence: [email protected]; Tel.: +1-813-974-2248 12 13 Abstract: The central promise of personalized medicine is individualized treatments that target 14 molecular mechanisms underlying the physiological changes and symptoms arising from disease. 15 We demonstrate a bioinformatics analysis pipeline as a proof-of-principle to test the feasibility and 16 practicality of comparative transcriptomics to classify two of the most popular in vivo diet-induced 17 models of coronary atherosclerosis, apolipoprotein E null mice and New Zealand White rabbits. 18 Transcriptomics analyses indicate the two models extensively share dysregulated genes albeit with 19 some unique pathways. For instance, while both models have alterations in the mitochondrion, the 20 biochemical pathway analysis revealed, Complex IV in the electron transfer chain is higher in mice, 21 whereas the rest of the electron transfer chain components are higher in the rabbits. Several fatty 22 acids anabolic pathways are expressed higher in mice, whereas fatty acids and lipids degradation 23 pathways are higher in rabbits. -
Derived Xenografts Highlights the Role of REST in Neuroendocrine Differentiation of Castration- Resistant Prostate Cancer Amilcar Flores-Morales1,2,3, Tobias B
Published OnlineFirst October 1, 2018; DOI: 10.1158/1078-0432.CCR-18-0729 Biology of Human Tumors Clinical Cancer Research Proteogenomic Characterization of Patient- Derived Xenografts Highlights the Role of REST in Neuroendocrine Differentiation of Castration- Resistant Prostate Cancer Amilcar Flores-Morales1,2,3, Tobias B. Bergmann1,2, Charlotte Lavallee1,2, Tanveer S. Batth3, Dong Lin4, Mads Lerdrup5, Stine Friis1,2, Anette Bartels1,2, Gitte Kristensen6, Agnieszka Krzyzanowska7, Hui Xue4, Ladan Fazli4, Klaus H. Hansen5, Martin A. Røder6, Klaus Brasso6, Jose M. Moreira1,2, Anders Bjartell7, Yuzhuo Wang4, Jesper V. Olsen3, Colin C. Collins4, and Diego Iglesias-Gato1,2 Abstract Background: An increasing number of castration-resistant and elevated in NEPC, while the reduced levels of proteins prostate cancer (CRPC) tumors exhibit neuroendocrine (NE) involved in mitochondrial functions suggested a prevalent features. NE prostate cancer (NEPC) has poor prognosis, and glycolytic metabolism of NEPC tumors. Integration of the its development is poorly understood. REST chromatin bound regions with expression changes Experimental Design: We applied mass spectrometry– indicated a direct role of REST in regulating neuronal gene based proteomics to a unique set of 17 prostate cancer expression in prostate cancer cells. Mechanistically, deple- patient–derived xenografts (PDX) to characterize the effects tion of REST led to cell-cycle arrest in G1, which could be of castration in vivo, and the proteome differences between rescued by p53 knockdown. Finally, the expression of the NEPC and prostate adenocarcinomas. Genome-wide profiling REST-regulated gene secretagogin (SCGN) correlated with of REST-occupied regions in prostate cancer cells was corre- an increased risk of suffering disease relapse after radical lated to the expression changes in vivo to investigate the role of prostatectomy. -
A Genome-Wide Approach Accounting for Body
A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance Alisa Manning, Boston University Marie-France Hivert, Massachusetts General Hospital Robert A. Scott, Addenbrookes Hospital Jonna L. Grimsby, Massachusetts General Hospital Naibila-Naji Bouatia-Naji, Institut Pasteur de Lille Han Chen, Boston University Denis Rybin, Boston University Ching-Ti Liu, Boston University Laurence F. Bielak, University of Michigan Inga Prokopenko, University of Oxford Only first 10 authors above; see publication for full author list. Journal Title: Nature Genetics Volume: Volume 44, Number 6 Publisher: Nature Publishing Group | 2012-06-01, Pages 659-U81 Type of Work: Article | Post-print: After Peer Review Publisher DOI: 10.1038/ng.2274 Permanent URL: https://pid.emory.edu/ark:/25593/s9rv4 Final published version: http://dx.doi.org/10.1038/ng.2274 Copyright information: © 2012 Nature America, Inc. All rights reserved. Accessed September 28, 2021 7:12 PM EDT NIH Public Access Author Manuscript Nat Genet. Author manuscript; available in PMC 2013 April 01. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Nat Genet. ; 44(6): 659–669. doi:10.1038/ng.2274. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance Alisa K. Manning1,2,3,4,*, Marie-France Hivert5,6,*, Robert A. Scott7,*, Jonna L. Grimsby5,8, Nabila Bouatia-Naji9,10, Han Chen1, Denis Rybin11, Ching-Ti Liu1, Lawrence F. Bielak12, Inga Prokopenko13,14, Najaf Amin15, Daniel Barnes7, Gemma Cadby16,17, Jouke-Jan Hottenga18, Erik Ingelsson19, Anne U. -
A Genome-Wide Approach Accounting for Body Mass Index Identifies Genetic Variants Influencing Fasting Glycemic Traits and Insulin Resistance
ARTICLES A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and b-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 × 10−8 in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology. In contrast to recent progress in the discovery of genetic variants under- for the potential for adiposity levels to perturb the physiological lying T2D pathophysiology and β-cell function, the understanding milieu in which genetic variants in insulin signaling pathways oper- of the genetic basis of insulin resistance remains limited1. Partly ate. Adiposity may also hinder the identification of genetic variants because early case-control studies of T2D were designed to maximize influencing insulin resistance by introducing variance in the outcome the likelihood of detecting variants that directly increase T2D risk that is not attributable to genetic variation5, suggesting that adjust- rather than those that affect risk through the mediation of adiposity, ment for adiposity per se may be necessary. -
Network Analysis of the Progranulin-Deficient Mouse Brain Proteome Reveals Pathogenic Mechanisms Shared in Human Frontotemporal
Huang et al. acta neuropathol commun (2020) 8:163 https://doi.org/10.1186/s40478-020-01037-x RESEARCH Open Access Network analysis of the progranulin-defcient mouse brain proteome reveals pathogenic mechanisms shared in human frontotemporal dementia caused by GRN mutations Meixiang Huang1,2,3, Erica Modeste2,4, Eric Dammer2,4, Paola Merino1,2, Georgia Taylor1,2, Duc M. Duong2,4, Qiudong Deng1,2,4, Christopher J. Holler1,2, Marla Gearing2,5,6, Dennis Dickson7, Nicholas T. Seyfried2,4,5 and Thomas Kukar1,2,5* Abstract Heterozygous, loss-of-function mutations in the granulin gene (GRN) encoding progranulin (PGRN) are a common cause of frontotemporal dementia (FTD). Homozygous GRN mutations cause neuronal ceroid lipofuscinosis-11 (CLN11), a lysosome storage disease. PGRN is a secreted glycoprotein that can be proteolytically cleaved into seven bioactive 6 kDa granulins. However, it is unclear how defciency of PGRN and granulins causes neurodegenera- tion. To gain insight into the mechanisms of FTD pathogenesis, we utilized Tandem Mass Tag isobaric labeling mass / spectrometry to perform an unbiased quantitative proteomic analysis of whole-brain tissue from wild type (Grn+ +) / and Grn knockout (Grn− −) mice at 3- and 19-months of age. At 3-months lysosomal proteins (i.e. Gns, Scarb2, Hexb) are selectively increased indicating lysosomal dysfunction is an early consequence of PGRN defciency. Additionally, proteins involved in lipid metabolism (Acly, Apoc3, Asah1, Gpld1, Ppt1, and Naaa) are decreased; suggesting lysoso- / mal degradation of lipids may be impaired in the Grn− − brain. Systems biology using weighted correlation network / analysis (WGCNA) of the Grn− − brain proteome identifed 26 modules of highly co-expressed proteins. -
Platform Abstracts
The 12th International Congress of Human Genetics and the American Society of Human Genetics 61st Annual Meeting October 11-15, 2011 Montreal, Canada PLATFORM ABSTRACTS Abstract/ Abstract/ Program Program Numbers Numbers Plenary Session Concurrent Platform Session C (51-60) Wednesday, October 12, 8:00 am – 10:00 am Friday, October 14, 4:15 pm – 6:15 pm SESSION 3 – Plenary Session on Epigenetics 1-2 SESSION 51 – Cancer Genetics II: Ovarian and Breast 163-170 These two abstracts were selected by the Scientific Program SESSION 52 – Genomics III: Genome Expression 171-178 Committee to be included in this invited plenary session with Douglas SESSION 53 – Molecular Basis III: Ciliopathies 179-186 Wallace and Emma Whitelaw. SESSION 54 – Statistical Genetics III: Analysis of 187-194 Sequence Data Concurrent Platform Sessions A (10-19) SESSION 55 – Epigenetics 195-202 Wednesday, October 12, 4:15 pm – 6:15 pm SESSION 56 – Complex Traits I: Approaches and Methods 203-210 SESSION 10 – Population Genetics 3-10 SESSION 57 – Cardiovascular Genetics II: Single Gene and 211-218 SESSION 11 – Genomics I: Structural Variation 11-18 Chromosomal Conditions SESSION 12 – Neurogenetics I: Autism 19-26 SESSION 58 – Neurogenetics III: Alzheimer, Parkinson and 219-226 SESSION 13 – Clinical Genetics I: Genotype-Phenotype 27-34 Neurodegenerative Diseases Correlation in Syndromes SESSION 59 – Clinical Genetics II: Neurodevelopmental 227-234 SESSION 14 – Chromosome Organization and Cancer 35-42 Disorders Cytogenetics SESSION 60 – Ethical, Legal, Social and Policy Issues -
Using Massively Parallel Sequencing to Determine the Genetic Basis of Leigh Syndrome, the Most Common Mitochondrial Disorder Affecting Children
Using Massively Parallel Sequencing to determine the genetic basis of Leigh Syndrome, the most common mitochondrial disorder affecting children Nicole Janet Lake ORCID ID 0000-0003-4103-6387 Doctor of Philosophy January 2018 Department of Paediatrics Faculty of Medicine, Dentistry and Health Sciences University of Melbourne Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy Abstract Mitochondrial diseases are debilitating illnesses caused by mutations that impair mitochondrial energy generation. The most common clinical presentation of mitochondrial disease in children is Leigh syndrome. This neurodegenerative disorder can be caused by mutations in more than 85 genes, encoded by both nuclear and mitochondrial DNA (mtDNA). When this PhD commenced, massively parallel sequencing for genetic diagnosis of Leigh syndrome was transitioning into the clinic, however its diagnostic utility in a clinical setting was unknown. Furthermore, a significant number of Leigh syndrome patients remained without a genetic diagnosis, indicating that further research was required to expand our understanding of the genetic basis of disease. To identify the maximum diagnostic yield of massively parallel sequencing in patients with Leigh syndrome, and to provide insight into the genetic basis of disease, unsolved patients from a historical Leigh syndrome cohort were studied. This cohort is comprised of 67 clinically- ascertained patients diagnosed with Leigh or Leigh-like syndrome according to stringent criteria. DNA from all 33 patients lacking a genetic diagnosis underwent whole exome sequencing, with parallel sequencing of the mtDNA. A targeted analysis of 2273 genes was performed, which included known and candidate mitochondrial disease genes, and differential diagnosis genes underlying distinct disorders with phenotypic overlap. -
Unraveling the Molecular Mechanism Underlying ALS-Linked Astrocyte
Unraveling the molecular mechanism underlying ALS- linked astrocyte toxicity for motor neurons Burcin Ikiz Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2013 © 2013 Burcin Ikiz All rights reserved Abstract Unraveling the molecular mechanism underlying ALS-linked astrocyte toxicity for motor neurons Burcin Ikiz Mutations in superoxide dismutase-1 (SOD1) cause a familial form of amyotrophic lateral sclerosis (ALS), a fatal paralytic disorder. Transgenic mutant SOD1 rodents capture the hallmarks of this disease, which is characterized by a progressive loss of motor neurons. Studies in chimeric and conditional transgenic mutant SOD1 mice indicate that non-neuronal cells, such as astrocytes, play an important role in motor neuron degeneration. Consistent with this non-cell autonomous scenario are the demonstrations that wild-type primary and embryonic stem cell- derived motor neurons selectively degenerate when cultured in the presence of either mutant SOD1-expressing astrocytes or medium conditioned with such mutant astrocytes. The work in this thesis rests on the use of an unbiased genomic strategy that combines RNA-Seq and “reverse gene engineering” algorithms in an attempt to decipher the molecular underpinnings of motor neuron degeneration caused by mutant astrocytes. To allow such analyses, first, mutant SOD1- induced toxicity on purified embryonic stem cell-derived motor neurons was validated and characterized. This was followed by the validation of signaling pathways identified by bioinformatics in purified embryonic stem cell-derived motor neurons, using both pharmacological and genetic techniques, leading to the discovery that nuclear factor kappa B (NF-κB) is instrumental in the demise of motor neurons exposed to mutant astrocytes in vitro. -
Targeting Cancer Cell Metabolism with Mitochondria- Immobilized Phosphorescent Cyclometalated Iridium(III) Complexes
Electronic Supplementary Material (ESI) for Chemical Science. This journal is © The Royal Society of Chemistry 2016 Electronic Supplementary Information Targeting cancer cell metabolism with mitochondria- immobilized phosphorescent cyclometalated iridium(III) complexes Jian-Jun Cao,a Cai-Ping Tan,*a Mu-He Chen,a Na Wu,a De-Yang Yao,b Xing-Guo Liu,b Liang-Nian Jia and Zong-Wan Mao*a a MOE Key Laboratory of Bioinorganic and Synthetic Chemistry, School of Chemistry and Chemical Engineering, Sun Yat-Sen University, Guangzhou 510275 (P. R. China). E-mail: [email protected]; [email protected] b Key Laboratory of Regenerative Biology, Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, South China Institute for Stem Cell Biology and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, People's Republic of China. S1 Table of Contents Experimental section Materials and measurements…………..........………………………..…………..…..………..……..S5 Synthesis and characterization…………..........………………………..……………..…….………..S5 Crystallographic structure determination…………..........………………………..…….……………S7 Stability studies of complex 2…………..........………………………..……………………..………S7 Cell lines and culture conditions…………..........………………………..……………..……………S8 Cytotoxicity assay…………..........………………………..……………..…………………………..S8 Co-culture of A549 cells and LO2 cells…………..........………………………..…….…………….S8 Lipophilicity…………..........………………………..……………..……………………………...…S8 ICP-MS measurement …………..........………………………..……………..……………………...S9