L1 Retrotransposition Is a Common Feature of Mammalian Hepatocarcinogenesis
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PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
DNA Breakpoint Assay Reveals a Majority of Gross Duplications Occur in Tandem Reducing VUS Classifications in Breast Cancer Predisposition Genes
© American College of Medical Genetics and Genomics ARTICLE Corrected: Correction DNA breakpoint assay reveals a majority of gross duplications occur in tandem reducing VUS classifications in breast cancer predisposition genes Marcy E. Richardson, PhD1, Hansook Chong, PhD1, Wenbo Mu, MS1, Blair R. Conner, MS1, Vickie Hsuan, MS1, Sara Willett, MS1, Stephanie Lam, MS1, Pei Tsai, CGMBS, MB (ASCP)1, Tina Pesaran, MS, CGC1, Adam C. Chamberlin, PhD1, Min-Sun Park, PhD1, Phillip Gray, PhD1, Rachid Karam, MD, PhD1 and Aaron Elliott, PhD1 Purpose: Gross duplications are ambiguous in terms of clinical cohort, while the remainder have unknown tandem status. Among interpretation due to the limitations of the detection methods that the tandem gross duplications that were eligible for reclassification, cannot infer their context, namely, whether they occur in tandem or 95% of them were upgraded to pathogenic. are duplicated and inserted elsewhere in the genome. We Conclusion: DBA is a novel, high-throughput, NGS-based method investigated the proportion of gross duplications occurring in that informs the tandem status, and thereby the classification of, tandem in breast cancer predisposition genes with the intent of gross duplications. This method revealed that most gross duplica- informing their classifications. tions in the investigated genes occurred in tandem and resulted in a Methods: The DNA breakpoint assay (DBA) is a custom, paired- pathogenic classification, which helps to secure the necessary end, next-generation sequencing (NGS) method designed to treatment options for their carriers. capture and detect deep-intronic DNA breakpoints in gross duplications in BRCA1, BRCA2, ATM, CDH1, PALB2, and CHEK2. Genetics in Medicine (2019) 21:683–693; https://doi.org/10.1038/s41436- Results: DBA allowed us to ascertain breakpoints for 44 unique 018-0092-7 gross duplications from 147 probands. -
ARTICLE Doi:10.1038/Nature10523
ARTICLE doi:10.1038/nature10523 Spatio-temporal transcriptome of the human brain Hyo Jung Kang1*, Yuka Imamura Kawasawa1*, Feng Cheng1*, Ying Zhu1*, Xuming Xu1*, Mingfeng Li1*, Andre´ M. M. Sousa1,2, Mihovil Pletikos1,3, Kyle A. Meyer1, Goran Sedmak1,3, Tobias Guennel4, Yurae Shin1, Matthew B. Johnson1,Zˇeljka Krsnik1, Simone Mayer1,5, Sofia Fertuzinhos1, Sheila Umlauf6, Steven N. Lisgo7, Alexander Vortmeyer8, Daniel R. Weinberger9, Shrikant Mane6, Thomas M. Hyde9,10, Anita Huttner8, Mark Reimers4, Joel E. Kleinman9 & Nenad Sˇestan1 Brain development and function depend on the precise regulation of gene expression. However, our understanding of the complexity and dynamics of the transcriptome of the human brain is incomplete. Here we report the generation and analysis of exon-level transcriptome and associated genotyping data, representing males and females of different ethnicities, from multiple brain regions and neocortical areas of developing and adult post-mortem human brains. We found that 86 per cent of the genes analysed were expressed, and that 90 per cent of these were differentially regulated at the whole-transcript or exon level across brain regions and/or time. The majority of these spatio-temporal differences were detected before birth, with subsequent increases in the similarity among regional transcriptomes. The transcriptome is organized into distinct co-expression networks, and shows sex-biased gene expression and exon usage. We also profiled trajectories of genes associated with neurobiological categories and diseases, and identified associations between single nucleotide polymorphisms and gene expression. This study provides a comprehensive data set on the human brain transcriptome and insights into the transcriptional foundations of human neurodevelopment. -
(P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds. -
Macrophage Activation JUNB Is a Key Transcriptional Modulator Of
JUNB Is a Key Transcriptional Modulator of Macrophage Activation Mary F. Fontana, Alyssa Baccarella, Nidhi Pancholi, Miles A. Pufall, De'Broski R. Herbert and Charles C. Kim This information is current as of October 2, 2021. J Immunol 2015; 194:177-186; Prepublished online 3 December 2014; doi: 10.4049/jimmunol.1401595 http://www.jimmunol.org/content/194/1/177 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2014/12/03/jimmunol.140159 Material 5.DCSupplemental References This article cites 40 articles, 7 of which you can access for free at: http://www.jimmunol.org/content/194/1/177.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on October 2, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2014 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology JUNB Is a Key Transcriptional Modulator of Macrophage Activation Mary F. Fontana,* Alyssa Baccarella,* Nidhi Pancholi,* Miles A. -
Accelerating Matchmaking of Novel Dysmorphology Syndromes Through Clinical and Genomic Characterization of a Large Cohort
ORIGINAL RESEARCH ARTICLE © American College of Medical Genetics and Genomics Accelerating matchmaking of novel dysmorphology syndromes through clinical and genomic characterization of a large cohort Ranad Shaheen, PhD1, Nisha Patel, PhD1, Hanan Shamseldin, MSc1, Fatema Alzahrani, BSc1, Ruah Al-Yamany, MD1, Agaadir ALMoisheer, MSc1, Nour Ewida, BSc1, Shamsa Anazi, MSc1, Maha Alnemer, MD2, Mohamed Elsheikh, MD3, Khaled Alfaleh, MD3,4, Muneera Alshammari, MD4, Amal Alhashem, MD5, Abdullah A. Alangari, MD4, Mustafa A. Salih, MD4, Martin Kircher, MD6, Riza M. Daza, PhD6, Niema Ibrahim, BSc1, Salma M. Wakil, PhD1, Ahmed Alaqeel, MD7, Ikhlas Altowaijri, MD7, Jay Shendure, MD, PhD6, Amro Al-Habib, MD7, Eissa Faqieh, MD8 and Fowzan S. Alkuraya, MD1,9 Purpose: Dysmorphology syndromes are among the most common and C3ORF17). A significant minority of the phenotypes (6/31, 19%), referrals to clinical genetics specialists. Inability to match the dysmor- however, were caused by genes known to cause Mendelian pheno- phology pattern to a known syndrome can pose a major diagnostic chal- types, thus expanding the phenotypic spectrum of the diseases linked lenge. With an aim to accelerate the establishment of new syndromes to these genes. The conspicuous inheritance pattern and the highly and their genetic etiology, we describe our experience with multiplex specific phenotypes appear to have contributed to the high yield consanguineous families that appeared to represent novel autosomal (90%) of plausible molecular diagnoses in our study cohort. recessive dysmorphology syndromes at the time of evaluation. Conclusion: Reporting detailed clinical and genomic analysis of Methods: Combined autozygome/exome analysis of multiplex a large series of apparently novel dysmorphology syndromes will consanguineous families with apparently novel dysmorphology syn- likely lead to a trend to accelerate the establishment of novel syn- dromes. -
A Novel Predictive and Prognostic Scoring for Progressive Meningioma
cancers Article MPscore: A Novel Predictive and Prognostic Scoring for Progressive Meningioma Feili Liu 1,2,3,4, Jin Qian 5 and Chenkai Ma 6,* 1 Department of Neurosurgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai 200040, China; [email protected] 2 Neurosurgical Institute, Fudan University, Shanghai 200040, China 3 Shanghai Clinical Medical Center of Neurosurgery, Shanghai 200040, China 4 Shanghai Key Laboratory of Brain Function and Restoration and Neural Regeneration, Shanghai 200040, China 5 Department of Radiation Oncology, Stanford University, Stanford, CA 94305, USA; [email protected] 6 Department of Surgery, the University of Melbourne, Melbourne 3050, Australia * Correspondence: [email protected] Simple Summary: Subtyping for meningioma is urgently required to stratify the patients with high risks of recurrence and progression due to the intertumoral heterogeneity in meningioma. Here, we performed a consensus clustering of 179 meningiomas and identified progressive subtype (subtype 3) based the transcriptome profiles. Loss of chromosome 1q along with Neurofibromin 2 (NF2) mutation or loss of chromosome 22p is exclusively presented in subtype 3 meningioma. DNA methylation analyses of meningioma subtypes also suggested hypermethylation was observed in Citation: Liu, F.; Qian, J.; Ma, C. subtype 3 meningioma. Our findings identified low expression of Alkaline Phosphatase (ALPL) is MPscore: A Novel Predictive and Prognostic Scoring for Progressive the most significant feature in progressive subtype of meningioma. We constructed and validated a Meningioma. Cancers 2021, 13, 1113. meningioma progression score (MPscore) to characterize the progressive phenotype in meningioma. https://doi.org/10.3390/ The predictive accuracy has also been validated in three independent cohorts. -
Gene Ontology Functional Annotations and Pleiotropy
Network based analysis of genetic disease associations Sarah Gilman 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 2014 © 2013 Sarah Gilman All Rights Reserved ABSTRACT Network based analysis of genetic disease associations Sarah Gilman Despite extensive efforts and many promising early findings, genome-wide association studies have explained only a small fraction of the genetic factors contributing to common human diseases. There are many theories about where this “missing heritability” might lie, but increasingly the prevailing view is that common variants, the target of GWAS, are not solely responsible for susceptibility to common diseases and a substantial portion of human disease risk will be found among rare variants. Relatively new, such variants have not been subject to purifying selection, and therefore may be particularly pertinent for neuropsychiatric disorders and other diseases with greatly reduced fecundity. Recently, several researchers have made great progress towards uncovering the genetics behind autism and schizophrenia. By sequencing families, they have found hundreds of de novo variants occurring only in affected individuals, both large structural copy number variants and single nucleotide variants. Despite studying large cohorts there has been little recurrence among the genes implicated suggesting that many hundreds of genes may underlie these complex phenotypes. The question -
Experimental Eye Research 129 (2014) 93E106
Experimental Eye Research 129 (2014) 93e106 Contents lists available at ScienceDirect Experimental Eye Research journal homepage: www.elsevier.com/locate/yexer Transcriptomic analysis across nasal, temporal, and macular regions of human neural retina and RPE/choroid by RNA-Seq S. Scott Whitmore a, b, Alex H. Wagner a, c, Adam P. DeLuca a, b, Arlene V. Drack a, b, Edwin M. Stone a, b, Budd A. Tucker a, b, Shemin Zeng a, b, Terry A. Braun a, b, c, * Robert F. Mullins a, b, Todd E. Scheetz a, b, c, a Stephen A. Wynn Institute for Vision Research, The University of Iowa, Iowa City, IA, USA b Department of Ophthalmology and Visual Sciences, Carver College of Medicine, The University of Iowa, Iowa City, IA, USA c Department of Biomedical Engineering, College of Engineering, The University of Iowa, Iowa City, IA, USA article info abstract Article history: Proper spatial differentiation of retinal cell types is necessary for normal human vision. Many retinal Received 14 September 2014 diseases, such as Best disease and male germ cell associated kinase (MAK)-associated retinitis pigmen- Received in revised form tosa, preferentially affect distinct topographic regions of the retina. While much is known about the 31 October 2014 distribution of cell types in the retina, the distribution of molecular components across the posterior pole Accepted in revised form 4 November 2014 of the eye has not been well-studied. To investigate regional difference in molecular composition of Available online 5 November 2014 ocular tissues, we assessed differential gene expression across the temporal, macular, and nasal retina and retinal pigment epithelium (RPE)/choroid of human eyes using RNA-Seq. -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in -
Mapping of Craniofacial Traits in Outbred Mice Identifies Major Developmental Genes Involved in Shape Determination
Mapping of craniofacial traits in outbred mice identifies major developmental genes involved in shape determination Luisa F Pallares1, Peter Carbonetto2,3, Shyam Gopalakrishnan2,4, Clarissa C Parker2,5, Cheryl L Ackert-Bicknell6, Abraham A Palmer2,7, Diethard Tautz1 # 1Max Planck Institute for Evolutionary Biology, Plön, Germany 2University of Chicago, Chicago, Illinois, USA 3AncestryDNA, San Francisco, California, USA 4Museum of Natural History, Copenhagen University, Copenhagen, Denmark 5Middlebury College, Department of Psychology and Program in Neuroscience, Middlebury VT, USA 6Center for Musculoskeletal Research, University of Rochester, Rochester, NY USA 7University of California San Diego, La Jolla, CA, USA # corresponding author: [email protected] short title: craniofacial shape mapping Abstract The vertebrate cranium is a prime example of the high evolvability of complex traits. While evidence of genes and developmental pathways underlying craniofacial shape determination 1 is accumulating, we are still far from understanding how such variation at the genetic level is translated into craniofacial shape variation. Here we used 3D geometric morphometrics to map genes involved in shape determination in a population of outbred mice (Carworth Farms White, or CFW). We defined shape traits via principal component analysis of 3D skull and mandible measurements. We mapped genetic loci associated with shape traits at ~80,000 candidate single nucleotide polymorphisms in ~700 male mice. We found that craniofacial shape and size are highly heritable, polygenic traits. Despite the polygenic nature of the traits, we identified 17 loci that explain variation in skull shape, and 8 loci associated with variation in mandible shape. Together, the associated variants account for 11.4% of skull and 4.4% of mandible shape variation, however, the total additive genetic variance associated with phenotypic variation was estimated in ~45%. -
Impact of Disseminated Neuroblastoma Cells on the Identification of the Relapse-Seeding Clone
Author Manuscript Published OnlineFirst on February 22, 2017; DOI: 10.1158/1078-0432.CCR-16-2082 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Impact of disseminated neuroblastoma cells on the identification of the relapse-seeding clone M. Reza Abbasi1, Fikret Rifatbegovic1, Clemens Brunner1, Georg Mann2, Andrea Ziegler1, Ulrike Pötschger1, Roman Crazzolara3, Marek Ussowicz4, Martin Benesch5, Georg Ebetsberger-Dachs6, Godfrey C.F. Chan7, Neil Jones8, Ruth Ladenstein1,9, Inge M. Ambros1, Peter F. Ambros1,9 1CCRI, Children’s Cancer Research Institute, Vienna, Austria; 2St. Anna Children’s Hospital, Vienna, Austria; 3Department of Pediatrics, Medical University of Innsbruck, Innsbruck, Austria; 4Department of Pediatric Hematology and Oncology, Wroclaw Medical University, Wroclaw, Poland; 5Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Graz, Austria; 6Department of Pediatrics, Kepler University Clinic Linz, Linz, Austria; 7Department of Pediatrics and Adolescent Medicine, University of Hong Kong, Hong Kong; 8Department of Pediatrics and Adolescent Medicine, Paracelsus Medical University, Salzburg, Austria; 9Department of Pediatrics, Medical University of Vienna, Vienna, Austria. Running title: Genomics of disseminated neuroblastoma cells Keywords: Neuroblastoma, disseminated tumor cells, bone marrow, tumor evolution, tumor heterogeneity Financial Support: St. Anna Kinderkrebsforschung; Austrian National Bank (ÖNB), Grant Nos. 15114, 16611; Austrian Science