Mitochondrial and Ion Channel Gene Alterations in Autism☆
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Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
The Mitochondrial Kinase PINK1 in Diabetic Kidney Disease
International Journal of Molecular Sciences Review The Mitochondrial Kinase PINK1 in Diabetic Kidney Disease Chunling Huang * , Ji Bian , Qinghua Cao, Xin-Ming Chen and Carol A. Pollock * Kolling Institute, Sydney Medical School, Royal North Shore Hospital, University of Sydney, St. Leonards, NSW 2065, Australia; [email protected] (J.B.); [email protected] (Q.C.); [email protected] (X.-M.C.) * Correspondence: [email protected] (C.H.); [email protected] (C.A.P.); Tel.: +61-2-9926-4784 (C.H.); +61-2-9926-4652 (C.A.P.) Abstract: Mitochondria are critical organelles that play a key role in cellular metabolism, survival, and homeostasis. Mitochondrial dysfunction has been implicated in the pathogenesis of diabetic kidney disease. The function of mitochondria is critically regulated by several mitochondrial protein kinases, including the phosphatase and tensin homolog (PTEN)-induced kinase 1 (PINK1). The focus of PINK1 research has been centered on neuronal diseases. Recent studies have revealed a close link between PINK1 and many other diseases including kidney diseases. This review will provide a concise summary of PINK1 and its regulation of mitochondrial function in health and disease. The physiological role of PINK1 in the major cells involved in diabetic kidney disease including proximal tubular cells and podocytes will also be summarized. Collectively, these studies suggested that targeting PINK1 may offer a promising alternative for the treatment of diabetic kidney disease. Keywords: PINK1; diabetic kidney disease; mitochondria; mitochondria quality control; mitophagy Citation: Huang, C.; Bian, J.; Cao, Q.; 1. Introduction Chen, X.-M.; Pollock, C.A. -
Molecular Genetic Delineation of 2Q37.3 Deletion in Autism and Osteodystrophy: Report of a Case and of New Markers for Deletion Screening by PCR
UC Irvine UC Irvine Previously Published Works Title Molecular genetic delineation of 2q37.3 deletion in autism and osteodystrophy: report of a case and of new markers for deletion screening by PCR. Permalink https://escholarship.org/uc/item/83f0x61r Journal Cytogenetics and cell genetics, 94(1-2) ISSN 0301-0171 Authors Smith, M Escamilla, JR Filipek, P et al. Publication Date 2001 DOI 10.1159/000048775 License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Original Article Cytogenet Cell Genet 94:15–22 (2001) Molecular genetic delineation of 2q37.3 deletion in autism and osteodystrophy: report of a case and of new markers for deletion screening by PCR M. Smith, J.R. Escamilla, P. Filipek, M.E. Bocian, C. Modahl, P. Flodman, and M.A. Spence Department of Pediatrics, University of California, Irvine CA (USA) Abstract. We recently studied a patient who meets criteria us to determine the parental origin of the deletion in our for autistic disorder and has a 2q37 deletion. Molecular cyto- patient. DNA from 8–13 unrelated individuals was used to genetic studies were carried out using DNA isolated from 22 determine heterozygosity estimates for these markers. We re- different 2q37 mapped BACs to more precisely define the view four genes deleted in our patient – genes whose known extent of the chromosome deletion. We also analyzed 2q37 functions and sites of expression in the brain and/or bone make mapped polymorphic markers. In addition DNA sequences of them candidates for involvement in autism and/or the osteo- BACs in the deletion region were scanned to identify microsa- dystrophy observed in patients with 2q37.3 deletions. -
The Conserved DNMT1-Dependent Methylation Regions in Human Cells
Freeman et al. Epigenetics & Chromatin (2020) 13:17 https://doi.org/10.1186/s13072-020-00338-8 Epigenetics & Chromatin RESEARCH Open Access The conserved DNMT1-dependent methylation regions in human cells are vulnerable to neurotoxicant rotenone exposure Dana M. Freeman1 , Dan Lou1, Yanqiang Li1, Suzanne N. Martos1 and Zhibin Wang1,2,3* Abstract Background: Allele-specifc DNA methylation (ASM) describes genomic loci that maintain CpG methylation at only one inherited allele rather than having coordinated methylation across both alleles. The most prominent of these regions are germline ASMs (gASMs) that control the expression of imprinted genes in a parent of origin-dependent manner and are associated with disease. However, our recent report reveals numerous ASMs at non-imprinted genes. These non-germline ASMs are dependent on DNA methyltransferase 1 (DNMT1) and strikingly show the feature of random, switchable monoallelic methylation patterns in the mouse genome. The signifcance of these ASMs to human health has not been explored. Due to their shared allelicity with gASMs, herein, we propose that non-tradi- tional ASMs are sensitive to exposures in association with human disease. Results: We frst explore their conservancy in the human genome. Our data show that our putative non-germline ASMs were in conserved regions of the human genome and located adjacent to genes vital for neuronal develop- ment and maturation. We next tested the hypothesized vulnerability of these regions by exposing human embryonic kidney cell HEK293 with the neurotoxicant rotenone for 24 h. Indeed,14 genes adjacent to our identifed regions were diferentially expressed from RNA-sequencing. We analyzed the base-resolution methylation patterns of the predicted non-germline ASMs at two neurological genes, HCN2 and NEFM, with potential to increase the risk of neurodegenera- tion. -
A Set of Regulatory Genes Co-Expressed in Embryonic Human Brain Is Implicated in Disrupted Speech Development
Molecular Psychiatry https://doi.org/10.1038/s41380-018-0020-x ARTICLE A set of regulatory genes co-expressed in embryonic human brain is implicated in disrupted speech development 1 1 1 2 3 Else Eising ● Amaia Carrion-Castillo ● Arianna Vino ● Edythe A. Strand ● Kathy J. Jakielski ● 4,5 6 7 8 9 Thomas S. Scerri ● Michael S. Hildebrand ● Richard Webster ● Alan Ma ● Bernard Mazoyer ● 1,10 4,5 6,11 6,12 13 Clyde Francks ● Melanie Bahlo ● Ingrid E. Scheffer ● Angela T. Morgan ● Lawrence D. Shriberg ● Simon E. Fisher 1,10 Received: 22 September 2017 / Revised: 3 December 2017 / Accepted: 2 January 2018 © The Author(s) 2018. This article is published with open access Abstract Genetic investigations of people with impaired development of spoken language provide windows into key aspects of human biology. Over 15 years after FOXP2 was identified, most speech and language impairments remain unexplained at the molecular level. We sequenced whole genomes of nineteen unrelated individuals diagnosed with childhood apraxia of speech, a rare disorder enriched for causative mutations of large effect. Where DNA was available from unaffected parents, CHD3 SETD1A WDR5 fi 1234567890();,: we discovered de novo mutations, implicating genes, including , and . In other probands, we identi ed novel loss-of-function variants affecting KAT6A, SETBP1, ZFHX4, TNRC6B and MKL2, regulatory genes with links to neurodevelopment. Several of the new candidates interact with each other or with known speech-related genes. Moreover, they show significant clustering within a single co-expression module of genes highly expressed during early human brain development. This study highlights gene regulatory pathways in the developing brain that may contribute to acquisition of proficient speech. -
Improved Detection of Gene Fusions by Applying Statistical Methods Reveals New Oncogenic RNA Cancer Drivers
bioRxiv preprint doi: https://doi.org/10.1101/659078; this version posted June 3, 2019. 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. Improved detection of gene fusions by applying statistical methods reveals new oncogenic RNA cancer drivers Roozbeh Dehghannasiri1, Donald Eric Freeman1,2, Milos Jordanski3, Gillian L. Hsieh1, Ana Damljanovic4, Erik Lehnert4, Julia Salzman1,2,5* Author affiliation 1Department of Biochemistry, Stanford University, Stanford, CA 94305 2Department of Biomedical Data Science, Stanford University, Stanford, CA 94305 3Department of Computer Science, University of Belgrade, Belgrade, Serbia 4Seven Bridges Genomics, Cambridge, MA 02142 5Stanford Cancer Institute, Stanford, CA 94305 *Corresponding author [email protected] Short Abstract: The extent to which gene fusions function as drivers of cancer remains a critical open question. Current algorithms do not sufficiently identify false-positive fusions arising during library preparation, sequencing, and alignment. Here, we introduce a new algorithm, DEEPEST, that uses statistical modeling to minimize false-positives while increasing the sensitivity of fusion detection. In 9,946 tumor RNA-sequencing datasets from The Cancer Genome Atlas (TCGA) across 33 tumor types, DEEPEST identifies 31,007 fusions, 30% more than identified by other methods, while calling ten-fold fewer false-positive fusions in non-transformed human tissues. We leverage the increased precision of DEEPEST to discover new cancer biology. For example, 888 new candidate oncogenes are identified based on over-representation in DEEPEST-Fusion calls, and 1,078 previously unreported fusions involving long intergenic noncoding RNAs partners, demonstrating a previously unappreciated prevalence and potential for function. -
Bioinformatics Tools for the Analysis of Gene-Phenotype Relationships Coupled with a Next Generation Chip-Sequencing Data Processing Pipeline
Bioinformatics Tools for the Analysis of Gene-Phenotype Relationships Coupled with a Next Generation ChIP-Sequencing Data Processing Pipeline Erinija Pranckeviciene Thesis submitted to the Faculty of Graduate and Postdoctoral Studies in partial fulfillment of the requirements for the Doctorate in Philosophy degree in Cellular and Molecular Medicine Department of Cellular and Molecular Medicine Faculty of Medicine University of Ottawa c Erinija Pranckeviciene, Ottawa, Canada, 2015 Abstract The rapidly advancing high-throughput and next generation sequencing technologies facilitate deeper insights into the molecular mechanisms underlying the expression of phenotypes in living organisms. Experimental data and scientific publications following this technological advance- ment have rapidly accumulated in public databases. Meaningful analysis of currently avail- able data in genomic databases requires sophisticated computational tools and algorithms, and presents considerable challenges to molecular biologists without specialized training in bioinfor- matics. To study their phenotype of interest molecular biologists must prioritize large lists of poorly characterized genes generated in high-throughput experiments. To date, prioritization tools have primarily been designed to work with phenotypes of human diseases as defined by the genes known to be associated with those diseases. There is therefore a need for more prioritiza- tion tools for phenotypes which are not related with diseases generally or diseases with which no genes have yet been associated in particular. Chromatin immunoprecipitation followed by next generation sequencing (ChIP-Seq) is a method of choice to study the gene regulation processes responsible for the expression of cellular phenotypes. Among publicly available computational pipelines for the processing of ChIP-Seq data, there is a lack of tools for the downstream analysis of composite motifs and preferred binding distances of the DNA binding proteins. -
RHNO1 Bidirectional Genes in Cancer
RESEARCH ARTICLE Co-regulation and function of FOXM1/ RHNO1 bidirectional genes in cancer Carter J Barger1, Linda Chee1, Mustafa Albahrani1, Catalina Munoz-Trujillo1, Lidia Boghean1, Connor Branick1, Kunle Odunsi2, Ronny Drapkin3, Lee Zou4, Adam R Karpf1* 1Eppley Institute for Cancer Research and Fred & Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, United States; 2Departments of Gynecologic Oncology, Immunology, and Center for Immunotherapy, Roswell Park Comprehensive Cancer Center, Buffalo, United States; 3Penn Ovarian Cancer Research Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, United States; 4Massachusetts General Hospital Cancer Center, Harvard Medical School, Charlestown, United States Abstract The FOXM1 transcription factor is an oncoprotein and a top biomarker of poor prognosis in human cancer. Overexpression and activation of FOXM1 is frequent in high-grade serous carcinoma (HGSC), the most common and lethal form of human ovarian cancer, and is linked to copy number gains at chromosome 12p13.33. We show that FOXM1 is co-amplified and co- expressed with RHNO1, a gene involved in the ATR-Chk1 signaling pathway that functions in the DNA replication stress response. We demonstrate that FOXM1 and RHNO1 are head-to-head (i.e., bidirectional) genes (BDG) regulated by a bidirectional promoter (BDP) (named F/R-BDP). FOXM1 and RHNO1 each promote oncogenic phenotypes in HGSC cells, including clonogenic growth, DNA homologous recombination repair, and poly-ADP ribosylase inhibitor resistance. FOXM1 and RHNO1 are one of the first examples of oncogenic BDG, and therapeutic targeting of FOXM1/ RHNO1 BDG is a potential therapeutic approach for ovarian and other cancers. *For correspondence: [email protected] Introduction Competing interests: The The forkhead/winged helix domain transcription factor FOXM1 promotes cancer by transactivating authors declare that no genes with oncogenic potential (Halasi and Gartel, 2013a; Kalathil et al., 2020). -
Identifying Mitochondrial-Related Genes NDUFA10 and NDUFV2 As Prognostic Markers for Prostate Cancer Through Biclustering
Hindawi BioMed Research International Volume 2021, Article ID 5512624, 15 pages https://doi.org/10.1155/2021/5512624 Research Article Identifying Mitochondrial-Related Genes NDUFA10 and NDUFV2 as Prognostic Markers for Prostate Cancer through Biclustering Haokun Zhang ,1,2 Yuanhua Shao,1 Weijun Chen,1 and Xin Chen 1 1Guangdong Key Laboratory of IoT Information Technology, School of Automation, Guangdong University of Technology, Guangzhou 510006, China 2School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China Correspondence should be addressed to Xin Chen; [email protected] Received 15 February 2021; Accepted 5 May 2021; Published 24 May 2021 Academic Editor: Mohsin Khurshid Copyright © 2021 Haokun Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Prostate cancer is currently associated with higher morbidity and mortality in men in the United States and Western Europe, so it is important to identify genes that regulate prostate cancer. The high-dimension gene expression profile impedes the discovery of biclusters which are of great significance to the identification of the basic cellular processes controlled by multiple genes and the identification of large-scale unknown effects hidden in the data. We applied the biclustering method MCbiclust to explore large biclusters in the TCGA cohort through a large number of iterations. Two biclusters were found with the highest silhouette coefficient value. The expression patterns of one bicluster are highly similar to those found by the gene expression profile of the known androgen-regulated genes. -
Skeletal Muscle Gene Expression in Long-Term Endurance and Resistance Trained Elderly
International Journal of Molecular Sciences Article Skeletal Muscle Gene Expression in Long-Term Endurance and Resistance Trained Elderly 1,2, 3, 1,2, Alessandra Bolotta y, Giuseppe Filardo y, Provvidenza Maria Abruzzo *, Annalisa Astolfi 4,5 , Paola De Sanctis 1, Alessandro Di Martino 6, Christian Hofer 7, Valentina Indio 4 , Helmut Kern 7, Stefan Löfler 7 , Maurilio Marcacci 8, Sandra Zampieri 9,10, 1,2, 1, Marina Marini z and Cinzia Zucchini z 1 Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna School of Medicine, 40138 Bologna, Italy; [email protected] (A.B.); [email protected] (P.D.S.); [email protected] (M.M.); [email protected] (C.Z.) 2 IRCCS Fondazione Don Carlo Gnocchi, 20148 Milan, Italy 3 Applied and Translational Research Center, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; g.fi[email protected] 4 Giorgio Prodi Interdepartimental Center for Cancer Research, S.Orsola-Malpighi Hospital, 40138 Bologna, Italy; annalisa.astolfi@unibo.it (A.A.); [email protected] (V.I.) 5 Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, 44121 Ferrara, Italy 6 Second Orthopaedic and Traumatologic Clinic, IRCCS Istituto Ortopedico Rizzoli, 40136 Bologna, Italy; [email protected] 7 Ludwig Boltzmann Institute for Rehabilitation Research, 1160 Wien, Austria; [email protected] (C.H.); [email protected] (H.K.); stefan.loefl[email protected] (S.L.) 8 Department of Biomedical Sciences, Knee Joint Reconstruction Center, 3rd Orthopaedic Division, Humanitas Clinical Institute, Humanitas University, 20089 Milan, Italy; [email protected] 9 Department of Surgery, Oncology and Gastroenterology, University of Padua, 35122 Padua, Italy; [email protected] 10 Department of Biomedical Sciences, University of Padua, 35131 Padua, Italy * Correspondence: [email protected]; Tel.: +39-051-2094122 These authors contributed equally to this work. -
The TRANSPARENT TESTA12 Gene of Arabidopsis Encodes a Multidrug
The Plant Cell, Vol. 13, 853–871, April 2001, www.plantcell.org © 2001 American Society of Plant Physiologists The TRANSPARENT TESTA12 Gene of Arabidopsis Encodes a Multidrug Secondary Transporter-like Protein Required for Flavonoid Sequestration in Vacuoles of the Seed Coat Endothelium Isabelle Debeaujon,1 Anton J. M. Peeters,2 Karen M. Léon-Kloosterziel,3 and Maarten Koornneef4 Laboratory of Genetics, Graduate School of Experimental Plant Sciences, Wageningen University, Dreijenlaan 2, 6703 HA Wageningen, The Netherlands Phenolic compounds that are present in the testa interfere with the physiology of seed dormancy and germination. We isolated a recessive Arabidopsis mutant with pale brown seeds, transparent testa12 (tt12), from a reduced seed dor- mancy screen. Microscopic analysis of tt12 developing and mature testas revealed a strong reduction of proanthocya- nidin deposition in vacuoles of endothelial cells. Double mutants with tt12 and other testa pigmentation mutants were constructed, and their phenotypes confirmed that tt12 was affected at the level of the flavonoid biosynthetic pathway. The TT12 gene was cloned and found to encode a protein with similarity to prokaryotic and eukaryotic secondary transporters with 12 transmembrane segments, belonging to the MATE (multidrug and toxic compound extrusion) fam- ily. TT12 is expressed specifically in ovules and developing seeds. In situ hybridization localized its transcript in the en- dothelium layer, as expected from the effect of the tt12 mutation on testa flavonoid pigmentation. The phenotype of the mutant and the nature of the gene suggest that TT12 may control the vacuolar sequestration of flavonoids in the seed coat endothelium. INTRODUCTION Flavonoids represent a highly diverse group of plant aro- al., 1999). -
12P Deletion Spectrum Syndrome: a New Case Report Reinforces The
Leyser et al. Molecular Cytogenetics (2016) 9:75 DOI 10.1186/s13039-016-0278-0 CASE REPORT Open Access 12p deletion spectrum syndrome: a new case report reinforces the evidence regarding the potential relationship to autism spectrum disorder and related developmental impairments Marcio Leyser1*, Bruno Leonardo Dias1, Ana Luiza Coelho1, Marcio Vasconcelos2 and Osvaldo J. M. Nascimento2 Abstract Background: Autism Spectrum Disorders (ASD) now encompass a broad heterogeneous group of people who present in the early developmental years with a wide range of social and communication deficits, which are typically also associated with complex repetitive behaviors and circumscribed interests. The target goal is to heighten readers’ perception into the trend to personalize the distinct autistic and related developmental conditions encompassing the 12p region. Case Presentation: This is a case-report of a 4-year-old male who presented the core signs of ASD, which were thought to be related to a rare 12p13.2 deletion. We further reviewed the literature in order to outline the related developmental conditions in the 12p region. Aside from this patient reported here, we found an additional number of 43 cases described in the medical literature since 1974, that have been related to deletions in the 12p region. However, to the best of our knowledge, none of the previous had been specifically linked to the 12p13.2 band. Conclusions: The 12p deletion spectrum is rarely described as part of the selective genotypes thought to be related to ASD. Even inside of a small piece of the puzzle, there might be ample variation in the behavioral and clinical phenotypes of children and adults presenting with this particular genetic profile.