Autism and Intellectual Disability in a Patient
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1 Evidence for Gliadin Antibodies As Causative Agents in Schizophrenia
1 Evidence for gliadin antibodies as causative agents in schizophrenia. C.J.Carter PolygenicPathways, 20 Upper Maze Hill, Saint-Leonard’s on Sea, East Sussex, TN37 0LG [email protected] Tel: 0044 (0)1424 422201 I have no fax Abstract Antibodies to gliadin, a component of gluten, have frequently been reported in schizophrenia patients, and in some cases remission has been noted following the instigation of a gluten free diet. Gliadin is a highly immunogenic protein, and B cell epitopes along its entire immunogenic length are homologous to the products of numerous proteins relevant to schizophrenia (p = 0.012 to 3e-25). These include members of the DISC1 interactome, of glutamate, dopamine and neuregulin signalling networks, and of pathways involved in plasticity, dendritic growth or myelination. Antibodies to gliadin are likely to cross react with these key proteins, as has already been observed with synapsin 1 and calreticulin. Gliadin may thus be a causative agent in schizophrenia, under certain genetic and immunological conditions, producing its effects via antibody mediated knockdown of multiple proteins relevant to the disease process. Because of such homology, an autoimmune response may be sustained by the human antigens that resemble gliadin itself, a scenario supported by many reports of immune activation both in the brain and in lymphocytes in schizophrenia. Gluten free diets and removal of such antibodies may be of therapeutic benefit in certain cases of schizophrenia. 2 Introduction A number of studies from China, Norway, and the USA have reported the presence of gliadin antibodies in schizophrenia 1-5. Gliadin is a component of gluten, intolerance to which is implicated in coeliac disease 6. -
Hypopituitarism May Be an Additional Feature of SIM1 and POU3F2 Containing 6Q16 Deletions in Children with Early Onset Obesity
Open Access Journal of Pediatric Endocrinology Case Report Hypopituitarism may be an Additional Feature of SIM1 and POU3F2 Containing 6q16 Deletions in Children with Early Onset Obesity Rutteman B1, De Rademaeker M2, Gies I1, Van den Bogaert A2, Zeevaert R1, Vanbesien J1 and De Abstract Schepper J1* Over the past decades, 6q16 deletions have become recognized as a 1Department of Pediatric Endocrinology, UZ Brussel, frequent cause of the Prader-Willi-like syndrome. Involvement of SIM1 in the Belgium deletion has been linked to the development of obesity. Although SIM1 together 2Department of Genetics, UZ Brussel, Belgium with POU3F2, which is located close to the SIM1 locus, are involved in pituitary *Corresponding author: De Schepper J, Department development and function, pituitary dysfunction has not been reported frequently of Pediatric Endocrinology, UZ Brussel, Belgium in cases of 6q16.1q16.3 deletion involving both genes. Here we report on a case of a girl with typical Prader-Willi-like symptoms including early-onset Received: December 23, 2016; Accepted: February 21, hyperphagic obesity, hypotonia, short hands and feet and neuro-psychomotor 2017; Published: February 22, 2017 development delay. Furthermore, she suffered from central diabetes insipidus, central hypothyroidism and hypocortisolism. Her genetic defect is a 6q16.1q16.3 deletion, including SIM1 and POU3F2. We recommend searching for a 6q16 deletion in children with early onset hyperphagic obesity associated with biological signs of hypopituitarism and/or polyuria-polydipsia syndrome. The finding of a combined SIM1 and POU3F2 deletion should prompt monitoring for the development of hypopituitarism, if not already present at diagnosis. Keywords: 6q16 deletion; SIM1; POU3F2; Prader-Willi-like syndrome; Hypopituitarism Introduction insipidus and of some specific pituitary hormone deficiencies in children with a combined SIM1 and POU3F2 deficiency. -
Investigating the Role of the ETS Transcription Factor ELK1 in Stem Cell Transcription
Investigating the role of the ETS transcription factor ELK1 in stem cell transcription A thesis submitted to the University of Manchester for the degree of Doctor of Philosophy in the Faculty of Biology, Medicine and Health 2017 Ian E. Prise Division of Molecular & Cellular Function School of Biological Sciences I. Table of Contents II. List of Figures ...................................................................................................................................... 5 III. Abstract .............................................................................................................................................. 7 IV. Declaration ......................................................................................................................................... 8 V. Copyright Statement ........................................................................................................................... 8 VI. Experimental Contributions ............................................................................................................... 9 VII. Acknowledgments .......................................................................................................................... 10 1. Introduction ...................................................................................................................................... 12 1.I Pluripotency ................................................................................................................................. 12 1.II Chromatin -
Genome-Wide DNA Methylation Analysis of KRAS Mutant Cell Lines Ben Yi Tew1,5, Joel K
www.nature.com/scientificreports OPEN Genome-wide DNA methylation analysis of KRAS mutant cell lines Ben Yi Tew1,5, Joel K. Durand2,5, Kirsten L. Bryant2, Tikvah K. Hayes2, Sen Peng3, Nhan L. Tran4, Gerald C. Gooden1, David N. Buckley1, Channing J. Der2, Albert S. Baldwin2 ✉ & Bodour Salhia1 ✉ Oncogenic RAS mutations are associated with DNA methylation changes that alter gene expression to drive cancer. Recent studies suggest that DNA methylation changes may be stochastic in nature, while other groups propose distinct signaling pathways responsible for aberrant methylation. Better understanding of DNA methylation events associated with oncogenic KRAS expression could enhance therapeutic approaches. Here we analyzed the basal CpG methylation of 11 KRAS-mutant and dependent pancreatic cancer cell lines and observed strikingly similar methylation patterns. KRAS knockdown resulted in unique methylation changes with limited overlap between each cell line. In KRAS-mutant Pa16C pancreatic cancer cells, while KRAS knockdown resulted in over 8,000 diferentially methylated (DM) CpGs, treatment with the ERK1/2-selective inhibitor SCH772984 showed less than 40 DM CpGs, suggesting that ERK is not a broadly active driver of KRAS-associated DNA methylation. KRAS G12V overexpression in an isogenic lung model reveals >50,600 DM CpGs compared to non-transformed controls. In lung and pancreatic cells, gene ontology analyses of DM promoters show an enrichment for genes involved in diferentiation and development. Taken all together, KRAS-mediated DNA methylation are stochastic and independent of canonical downstream efector signaling. These epigenetically altered genes associated with KRAS expression could represent potential therapeutic targets in KRAS-driven cancer. Activating KRAS mutations can be found in nearly 25 percent of all cancers1. -
JAG1 Intracellular Domain Acts As a Transcriptional Cofactor That Forms An
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.31.437839; this version posted March 31, 2021. 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. JAG1 intracellular domain acts as a transcriptional cofactor that forms an oncogenic transcriptional complex with DDX17/SMAD3/TGIF2 Eun-Jung Kim†1,2, Jung Yun Kim†1,2, Sung-Ok Kim3, Seok Won Ham1,2, Sang-Hun Choi1,2, Nayoung Hong1,2, Min Gi Park1,2, Junseok Jang1,2, Sunyoung Seo1,2, Kanghun Lee1,2, Hyeon Ju Jeong1,2, Sung Jin Kim1,2, Sohee Jeong1,2, Kyungim Min1,2, Sung-Chan Kim3, Xiong Jin1,4, Se Hoon Kim5, Sung-Hak Kim6,7, Hyunggee Kim*1,2 †These authors contributed equally to this work. 1Department of Biotechnology, College of Life Sciences and Biotechnology, Korea University, Seoul 02841, Republic of Korea 2Institute of Animal Molecular Biotechnology, Korea University, Seoul 02841, Republic of Korea 3Department of Biochemistry, College of Medicine, Hallym University, Chuncheon 24252, Republic of Korea 4School of Pharmacy, Henan University, Kaifeng, Henan 475004, China 5Department of Pathology, Severance Hospital, Yonsei University College of Medicine, Seoul 03722, Republic of Korea 6Department of Animal Science, College of Agriculture and Life Sciences, Chonnam National University, Gwangju 61186, Republic of Korea 7Gwangju Center, Korea Basic Science Institute, Gwangju 61186, Republic of Korea *Correspondence: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.31.437839; this version posted March 31, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Specification of Posterior Hypothalamic Neurons Requires Coordinated Activities of Fezf2, Otp, Sim1a and Foxb1.2 Andrea Wolf and Soojin Ryu*
1762 RESEARCH ARTICLE Development 140, 1762-1773 (2013) doi:10.1242/dev.085357 © 2013. Published by The Company of Biologists Ltd Specification of posterior hypothalamic neurons requires coordinated activities of Fezf2, Otp, Sim1a and Foxb1.2 Andrea Wolf and Soojin Ryu* SUMMARY The hypothalamus is a key integrative center in the brain that consists of diverse cell types required for a variety of functions including homeostasis, reproduction, stress response, social and cognitive behavior. Despite our knowledge of several transcription factors crucial for hypothalamic development, it is not known how the wide diversity of neuron types in the hypothalamus is produced. In particular, almost nothing is known about the mechanisms that specify neurons in the posteriormost part of the hypothalamus, the mammillary area. Here, we investigated the specification of two distinct neuron types in the mammillary area that produce the hypothalamic hormones Vasoactive intestinal peptide (Vip) and Urotensin 1 (Uts1). We show that Vip- and Uts1-positive neurons develop in distinct domains in the mammillary area defined by the differential expression of the transcription factors Fezf2, Otp, Sim1a and Foxb1.2. Coordinated activities of these factors are crucial for the establishment of the mammillary area subdomains and the specification of Vip- and Uts1-positive neurons. In addition, Fezf2 is important for early development of the posterior hypothalamus. Thus, our study provides the first molecular anatomical map of the posterior hypothalamus in zebrafish and identifies, for the first time, molecular requirements underlying the specification of distinct posterior hypothalamic neuron types. KEY WORDS: Hypothalamus, Neuronal specification, Zebrafish, Mammillary area, Fezf2, Vasoactive intestinal peptide, Urotensin 1 INTRODUCTION 2005; Vann, 2005; Vann, 2010; Vann and Aggleton, 2004). -
Myt1l Safeguards Neuronal Identity by Actively Repressing Many Non-Neuronal Fates Moritz Mall1, Michael S
LETTER doi:10.1038/nature21722 Myt1l safeguards neuronal identity by actively repressing many non-neuronal fates Moritz Mall1, Michael S. Kareta1†, Soham Chanda1,2, Henrik Ahlenius3, Nicholas Perotti1, Bo Zhou1,2, Sarah D. Grieder1, Xuecai Ge4†, Sienna Drake3, Cheen Euong Ang1, Brandon M. Walker1, Thomas Vierbuchen1†, Daniel R. Fuentes1, Philip Brennecke5†, Kazuhiro R. Nitta6†, Arttu Jolma6, Lars M. Steinmetz5,7, Jussi Taipale6,8, Thomas C. Südhof2 & Marius Wernig1 Normal differentiation and induced reprogramming require human Myt1l (Extended Data Fig. 1). Chromatin immunoprecipita- the activation of target cell programs and silencing of donor cell tion followed by DNA sequencing (ChIP–seq) of endogenous Myt1l programs1,2. In reprogramming, the same factors are often used to in fetal neurons (embryonic day (E) 13.5) and ectopic Myt1l in mouse reprogram many different donor cell types3. As most developmental embryonic fibroblasts (MEFs) two days after induction identified 3,325 repressors, such as RE1-silencing transcription factor (REST) and high-confidence Myt1l peaks that overlapped remarkably well between Groucho (also known as TLE), are considered lineage-specific neurons and MEFs (Fig. 1a, Extended Data Fig. 2, Supplementary repressors4,5, it remains unclear how identical combinations of Table 1). Thus, similar to the pioneer factor Ascl1, Myt1l can access transcription factors can silence so many different donor programs. the majority of its cognate DNA binding sites even in a distantly related Distinct lineage repressors would have to be induced in different cell type. However, unlike Ascl1 targets8, the chromatin at Myt1l donor cell types. Here, by studying the reprogramming of mouse fibroblasts to neurons, we found that the pan neuron-specific a Myt1l Myt1l b Myt1l Ascl1 Random Myt1l 6 Ascl1 + Brn2 endogenous transcription factor Myt1-like (Myt1l) exerts its pro-neuronal Closed 0.030 function by direct repression of many different somatic lineage k programs except the neuronal program. -
Karla Alejandra Vizcarra Zevallos Análise Da Função De Genes
Karla Alejandra Vizcarra Zevallos Análise da função de genes candidatos à manutenção da inativação do cromossomo X em humanos Dissertação apresentada ao Pro- grama de Pós‐Graduação Inter- unidades em Biotecnologia USP/ Instituto Butantan/ IPT, para obtenção do Título de Mestre em Ciências. São Paulo 2017 Karla Alejandra Vizcarra Zevallos Análise da função de genes candidatos à manutenção da inativação do cromossomo X em humanos Dissertação apresentada ao Pro- grama de Pós‐Graduação Inter- unidades em Biotecnologia do Instituto de Ciências Biomédicas USP/ Instituto Butantan/ IPT, para obtenção do Título de Mestre em Ciências. Área de concentração: Biotecnologia Orientadora: Profa. Dra. Lygia da Veiga Pereira Carramaschi Versão corrigida. A versão original eletrônica encontra-se disponível tanto na Biblioteca do ICB quanto na Biblioteca Digital de Teses e Dissertações da USP (BDTD) São Paulo 2017 UNIVERSIDADE DE SÃO PAULO Programa de Pós-Graduação Interunidades em Biotecnologia Universidade de São Paulo, Instituto Butantan, Instituto de Pesquisas Tecnológicas Candidato(a): Karla Alejandra Vizcarra Zevallos Título da Dissertação: Análise da função de genes candidatos à manutenção da inativação do cromossomo X em humanos Orientador: Profa. Dra. Lygia da Veiga Pereira Carramaschi A Comissão Julgadora dos trabalhos de Defesa da Dissertação de Mestrado, em sessão pública realizada a ........./......../.........., considerou o(a) candidato(a): ( ) Aprovado(a) ( ) Reprovado(a) Examinador(a): Assinatura: .............................................................................. -
Improving the Detection of Genomic Rearrangements in Short Read Sequencing Data
Improving the detection of genomic rearrangements in short read sequencing data Daniel Lee Cameron orcid.org/0000-0002-0951-7116 Doctor of Philosophy July 2017 Department of Medical Biology, University of Melbourne Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research Submitted in total fulfilment of the requirements of the degree of Doctor of Philosophy Produced on archival quality paper Page i Abstract Genomic rearrangements, also known as structural variants, play a significant role in the development of cancer and in genetic disorders. With the bulk of genetic studies focusing on single nucleotide variants and small insertions and deletions, structural variants are often overlooked. In part this is due to the increased complexity of analysis required, but is also due to the increased difficulty of detection. The identification of genomic rearrangements using massively parallel sequencing remains a major challenge. To address this, I have developed the Genome Rearrangement Identification Software Suite (GRIDSS). In this thesis, I show that high sensitivity and specificity can be achieved by performing reference-guided assembly prior to variant calling and incorporating the results of this assembly into the variant calling process itself. Utilising a novel genome-wide break-end assembly approach, GRIDSS halves the false discovery rate compared to other recent methods on human cell line data. A comparison of assembly approaches reveals that incorporating read alignment information into a positional de Bruijn graph improves assembly quality compared to traditional de Bruijn graph assembly. To characterise the performance of structural variant calling software, I have performed the most comprehensive benchmarking of structural variant calling software to date. -
Metabolites OH
H OH metabolites OH Article Metabolite Genome-Wide Association Study (mGWAS) and Gene-Metabolite Interaction Network Analysis Reveal Potential Biomarkers for Feed Efficiency in Pigs Xiao Wang and Haja N. Kadarmideen * Quantitative Genomics, Bioinformatics and Computational Biology Group, Department of Applied Mathematics and Computer Science, Technical University of Denmark, Richard Petersens Plads, Building 324, 2800 Kongens Lyngby, Denmark; [email protected] * Correspondence: [email protected] Received: 1 April 2020; Accepted: 11 May 2020; Published: 15 May 2020 Abstract: Metabolites represent the ultimate response of biological systems, so metabolomics is considered the link between genotypes and phenotypes. Feed efficiency is one of the most important phenotypes in sustainable pig production and is the main breeding goal trait. We utilized metabolic and genomic datasets from a total of 108 pigs from our own previously published studies that involved 59 Duroc and 49 Landrace pigs with data on feed efficiency (residual feed intake (RFI)), genotype (PorcineSNP80 BeadChip) data, and metabolomic data (45 final metabolite datasets derived from LC-MS system). Utilizing these datasets, our main aim was to identify genetic variants (single-nucleotide polymorphisms (SNPs)) that affect 45 different metabolite concentrations in plasma collected at the start and end of the performance testing of pigs categorized as high or low in their feed efficiency (based on RFI values). Genome-wide significant genetic variants could be then used as potential genetic or biomarkers in breeding programs for feed efficiency. The other objective was to reveal the biochemical mechanisms underlying genetic variation for pigs’ feed efficiency. In order to achieve these objectives, we firstly conducted a metabolite genome-wide association study (mGWAS) based on mixed linear models and found 152 genome-wide significant SNPs (p-value < 1.06 10 6) in association with 17 metabolites that included 90 significant SNPs annotated × − to 52 genes. -
Supplementary Table S1. List of Differentially Expressed
Supplementary table S1. List of differentially expressed transcripts (FDR adjusted p‐value < 0.05 and −1.4 ≤ FC ≥1.4). 1 ID Symbol Entrez Gene Name Adj. p‐Value Log2 FC 214895_s_at ADAM10 ADAM metallopeptidase domain 10 3,11E‐05 −1,400 205997_at ADAM28 ADAM metallopeptidase domain 28 6,57E‐05 −1,400 220606_s_at ADPRM ADP‐ribose/CDP‐alcohol diphosphatase, manganese dependent 6,50E‐06 −1,430 217410_at AGRN agrin 2,34E‐10 1,420 212980_at AHSA2P activator of HSP90 ATPase homolog 2, pseudogene 6,44E‐06 −1,920 219672_at AHSP alpha hemoglobin stabilizing protein 7,27E‐05 2,330 aminoacyl tRNA synthetase complex interacting multifunctional 202541_at AIMP1 4,91E‐06 −1,830 protein 1 210269_s_at AKAP17A A‐kinase anchoring protein 17A 2,64E‐10 −1,560 211560_s_at ALAS2 5ʹ‐aminolevulinate synthase 2 4,28E‐06 3,560 212224_at ALDH1A1 aldehyde dehydrogenase 1 family member A1 8,93E‐04 −1,400 205583_s_at ALG13 ALG13 UDP‐N‐acetylglucosaminyltransferase subunit 9,50E‐07 −1,430 207206_s_at ALOX12 arachidonate 12‐lipoxygenase, 12S type 4,76E‐05 1,630 AMY1C (includes 208498_s_at amylase alpha 1C 3,83E‐05 −1,700 others) 201043_s_at ANP32A acidic nuclear phosphoprotein 32 family member A 5,61E‐09 −1,760 202888_s_at ANPEP alanyl aminopeptidase, membrane 7,40E‐04 −1,600 221013_s_at APOL2 apolipoprotein L2 6,57E‐11 1,600 219094_at ARMC8 armadillo repeat containing 8 3,47E‐08 −1,710 207798_s_at ATXN2L ataxin 2 like 2,16E‐07 −1,410 215990_s_at BCL6 BCL6 transcription repressor 1,74E‐07 −1,700 200776_s_at BZW1 basic leucine zipper and W2 domains 1 1,09E‐06 −1,570 222309_at