Ring Chromosome 15 – Cytogenetics and Mapping Arrays
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Genetic Variation Across the Human Olfactory Receptor Repertoire Alters Odor Perception
bioRxiv preprint doi: https://doi.org/10.1101/212431; this version posted November 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Genetic variation across the human olfactory receptor repertoire alters odor perception Casey Trimmer1,*, Andreas Keller2, Nicolle R. Murphy1, Lindsey L. Snyder1, Jason R. Willer3, Maira Nagai4,5, Nicholas Katsanis3, Leslie B. Vosshall2,6,7, Hiroaki Matsunami4,8, and Joel D. Mainland1,9 1Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA 2Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, New York, USA 3Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, USA 4Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, USA 5Department of Biochemistry, University of Sao Paulo, Sao Paulo, Brazil 6Howard Hughes Medical Institute, New York, New York, USA 7Kavli Neural Systems Institute, New York, New York, USA 8Department of Neurobiology and Duke Institute for Brain Sciences, Duke University Medical Center, Durham, North Carolina, USA 9Department of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA *[email protected] ABSTRACT The human olfactory receptor repertoire is characterized by an abundance of genetic variation that affects receptor response, but the perceptual effects of this variation are unclear. To address this issue, we sequenced the OR repertoire in 332 individuals and examined the relationship between genetic variation and 276 olfactory phenotypes, including the perceived intensity and pleasantness of 68 odorants at two concentrations, detection thresholds of three odorants, and general olfactory acuity. -
Ring Chromosome 4 49,XXXXY Patients Is Related to the Age of the Mother
228 Case reports placenta and chorionic sacs were of no help for Further cytogenetic studies in twins would be diagnosis. The dermatoglyphs are expected to be necessary to find out whether there is a relation different, even ifthey were monozygotic, in relation to between non-disjunction and double ovulation or the total finger ridge count; since according to whether these 2 events are independent but could Penrose (1967), when the number of X chromosomes occur at the same time by chance. increases, the TFRC decreases in about 30 per each extra X. The difference of 112 found in our case is so We want to thank Dr Maroto and Dr Rodriguez- striking that we believe that we are facing a case of Durantez for performing the cardiological and dizygosity. On the other hand, the blood groups were radiological studies; Dr A. Valls for performing the conclusive. All the systems studied were alike in Xg blood group. We also wish to thank Mrs A. both twins except for the Rh. In the propositus the Moran and Mrs M. C. Cacituaga for their technical phenotype was CCDee while in the brother it was assistance. cCDee, which rules out monozygosity. The incidence of dizygotic twins with noncon- J. M. GARCIA-SAGREDO, C. MERELLO-GODINO, cordant chromosomal aneuploidy appears to be low. and C. SAN ROMAN To the best of our knowledge we think that ours is the From the Department ofHuman Genetics, first reported case of dizygotic twins with this specific Fundacion Jimenez Diaz, Madrid; and anomaly. U.C.I., Hospital Infantil, C.S. -
Ring 21 FTNW
Ring 21 rarechromo.org Sources Ring 21 The information Ring 21 is a rare genetic condition caused by having a in this leaflet ring-shaped chromosome. comes from the Almost half of the people with ring 21 chromosomes medical literature described in the medical literature are healthy and and from develop normally. Their unusual chromosomes are Unique’s discovered by chance, during tests for infertility or after members with repeated miscarriages or after having an affected baby. Ring 21 In other people the ring 21 chromosome affects (referenced U), development and learning and can also cause medical who were problems. In most of these people these effects are surveyed in slight but in some people they can be severe. The 2004. Unique is effects can even vary between different members of the very grateful to same family. The reason for these differences is not yet the families who fully understood. took part in the survey. What is a chromosome? The human body is made up of cells. Inside most cells is References a nucleus where genetic information is stored in genes which are grouped along chromosomes. Chromosomes The text contains are large enough to be studied under a microscope and references to come in different sizes, each with a short (p) and a long articles published (q) arm. They are numbered from largest to smallest in the medical according to their size, from number 1 to number 22, in press. The first- addition to the sex chromosomes, X and Y. A normal, named author healthy cell in the body has 46 chromosomes, 23 from and publication the mother and 23 from the father, including one date are given to chromosome 21 from each parent. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
22Q13.3 Deletion Syndrome
22q13.3 deletion syndrome Description 22q13.3 deletion syndrome, which is also known as Phelan-McDermid syndrome, is a disorder caused by the loss of a small piece of chromosome 22. The deletion occurs near the end of the chromosome at a location designated q13.3. The features of 22q13.3 deletion syndrome vary widely and involve many parts of the body. Characteristic signs and symptoms include developmental delay, moderate to profound intellectual disability, decreased muscle tone (hypotonia), and absent or delayed speech. Some people with this condition have autism or autistic-like behavior that affects communication and social interaction, such as poor eye contact, sensitivity to touch, and aggressive behaviors. They may also chew on non-food items such as clothing. Less frequently, people with this condition have seizures or lose skills they had already acquired (developmental regression). Individuals with 22q13.3 deletion syndrome tend to have a decreased sensitivity to pain. Many also have a reduced ability to sweat, which can lead to a greater risk of overheating and dehydration. Some people with this condition have episodes of frequent vomiting and nausea (cyclic vomiting) and backflow of stomach acids into the esophagus (gastroesophageal reflux). People with 22q13.3 deletion syndrome typically have distinctive facial features, including a long, narrow head; prominent ears; a pointed chin; droopy eyelids (ptosis); and deep-set eyes. Other physical features seen with this condition include large and fleshy hands and/or feet, a fusion of the second and third toes (syndactyly), and small or abnormal toenails. Some affected individuals have rapid (accelerated) growth. -
Supplementary Materials
Supplementary Materials COMPARATIVE ANALYSIS OF THE TRANSCRIPTOME, PROTEOME AND miRNA PROFILE OF KUPFFER CELLS AND MONOCYTES Andrey Elchaninov1,3*, Anastasiya Lokhonina1,3, Maria Nikitina2, Polina Vishnyakova1,3, Andrey Makarov1, Irina Arutyunyan1, Anastasiya Poltavets1, Evgeniya Kananykhina2, Sergey Kovalchuk4, Evgeny Karpulevich5,6, Galina Bolshakova2, Gennady Sukhikh1, Timur Fatkhudinov2,3 1 Laboratory of Regenerative Medicine, National Medical Research Center for Obstetrics, Gynecology and Perinatology Named after Academician V.I. Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia 2 Laboratory of Growth and Development, Scientific Research Institute of Human Morphology, Moscow, Russia 3 Histology Department, Medical Institute, Peoples' Friendship University of Russia, Moscow, Russia 4 Laboratory of Bioinformatic methods for Combinatorial Chemistry and Biology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, Moscow, Russia 5 Information Systems Department, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow, Russia 6 Genome Engineering Laboratory, Moscow Institute of Physics and Technology, Dolgoprudny, Moscow Region, Russia Figure S1. Flow cytometry analysis of unsorted blood sample. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S2. Flow cytometry analysis of unsorted liver stromal cells. Representative forward, side scattering and histogram are shown. The proportions of negative cells were determined in relation to the isotype controls. The percentages of positive cells are indicated. The blue curve corresponds to the isotype control. Figure S3. MiRNAs expression analysis in monocytes and Kupffer cells. Full-length of heatmaps are presented. -
Bioinformatics-Based Screening of Key Genes for Transformation of Liver
Jiang et al. J Transl Med (2020) 18:40 https://doi.org/10.1186/s12967-020-02229-8 Journal of Translational Medicine RESEARCH Open Access Bioinformatics-based screening of key genes for transformation of liver cirrhosis to hepatocellular carcinoma Chen Hao Jiang1,2, Xin Yuan1,2, Jiang Fen Li1,2, Yu Fang Xie1,2, An Zhi Zhang1,2, Xue Li Wang1,2, Lan Yang1,2, Chun Xia Liu1,2, Wei Hua Liang1,2, Li Juan Pang1,2, Hong Zou1,2, Xiao Bin Cui1,2, Xi Hua Shen1,2, Yan Qi1,2, Jin Fang Jiang1,2, Wen Yi Gu4, Feng Li1,2,3 and Jian Ming Hu1,2* Abstract Background: Hepatocellular carcinoma (HCC) is the most common type of liver tumour, and is closely related to liver cirrhosis. Previous studies have focussed on the pathogenesis of liver cirrhosis developing into HCC, but the molecular mechanism remains unclear. The aims of the present study were to identify key genes related to the transformation of cirrhosis into HCC, and explore the associated molecular mechanisms. Methods: GSE89377, GSE17548, GSE63898 and GSE54236 mRNA microarray datasets from Gene Expression Omni- bus (GEO) were analysed to obtain diferentially expressed genes (DEGs) between HCC and liver cirrhosis tissues, and network analysis of protein–protein interactions (PPIs) was carried out. String and Cytoscape were used to analyse modules and identify hub genes, Kaplan–Meier Plotter and Oncomine databases were used to explore relationships between hub genes and disease occurrence, development and prognosis of HCC, and the molecular mechanism of the main hub gene was probed using Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway analysis. -
Chromosome 2 Introduction the Genetic Length of Chromosome 2
Chromosome 2 ©Chromosome Disorder Outreach Inc. (CDO) Technical genetic content provided by Dr. Iosif Lurie, M.D. Ph.D Medical Geneticist and CDO Medical Consultant/Advisor. Ideogram courtesy of the University of Washington Department of Pathology: ©1994 David Adler.hum_02.gif Introduction The genetic length of chromosome 2 spans ~237 Mb. It is ~8% of the whole human genetic material. The length of the short arm is ~89 Mb; the length of the long arm is 148 Mb. Chromosome 2 contains ~1500 genes. At least 200 of these genes are related to different kinds of genetic pathologies. Many of these genes are associated with structural defects of the organs, and others, to functional defects. The numerous structural abnormalities of chromosome 2 had already been reported before methods of molecular genetics gained wide usage. Currently there are ~1,500 reports on patients with varying structural abnormalities of this chromosome, including ~1,000 reports on patients with deletions. Deletions have been reported in at least 10–15 patients for each segment of chromosome 2. There are ten known syndromes caused by deletions of chromosome 2, including three syndromes related to deletions of the short arm (p). Some of these syndromes have been known for many years; others (del 2p15p16.1, del 2q23q24, and del 2q32) have been delineated only in the last couple of years. Deletions of Chromosome 2 Different types of chromosome 2 deletions have been described in numerous publications and may be subdivided into 3 groups: • Deletions that are “harmless” variants (usually familial) • Unique deletions that have not been categorized as a syndrome yet • Deletions that are considered a syndrome Deletions of 2p Deletion of 2p15p16.1 This syndrome, first described in 2007, is rare; only ten patienys have been described to date. -
Double-Strand Breaks Are Not the Main Cause of Spontaneous Sister
bioRxiv preprint doi: https://doi.org/10.1101/164756; this version posted July 17, 2017. 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. Double-strand breaks are not the main cause of spontaneous sister chromatid exchange in wild-type yeast cells Clémence Claussin1, David Porubský1, Diana C.J. Spierings1, Nancy Halsema1, Stefan Rentas2, Victor Guryev1, Peter M. Lansdorp1,2,3,*, and Michael Chang1,* 1European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands 2Terry Fox Laboratory, BC Cancer Agency, Vancouver, Canada 3Department of Medical Genetics, University of British Columbia, Vancouver, Canada *Correspondence: [email protected] (P.M.L.); [email protected] (M.C.) 1 bioRxiv preprint doi: https://doi.org/10.1101/164756; this version posted July 17, 2017. 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. Summary Homologous recombination involving sister chromatids is the most accurate, and thus most frequently used, form of recombination-mediated DNA repair. Despite its importance, sister chromatid recombination is not easily studied because it does not result in a change in DNA sequence, making recombination between sister chromatids difficult to detect. We have previously developed a novel DNA template strand sequencing technique, called Strand-seq, that can be used to map sister chromatid exchange (SCE) events genome-wide in single cells. An increase in the rate of SCE is an indicator of elevated recombination activity and of genome instability, which is a hallmark of cancer. -
Review and Hypothesis: Syndromes with Severe Intrauterine Growth
RESEARCH REVIEW Review and Hypothesis: Syndromes With Severe Intrauterine Growth Restriction and Very Short Stature—Are They Related to the Epigenetic Mechanism(s) of Fetal Survival Involved in the Developmental Origins of Adult Health and Disease? Judith G. Hall* Departments of Medical Genetics and Pediatrics, UBC and Children’s and Women’s Health Centre of British Columbia Vancouver, British Columbia, Canada Received 4 June 2009; Accepted 29 August 2009 Diagnosing the specific type of severe intrauterine growth restriction (IUGR) that also has post-birth growth restriction How to Cite this Article: is often difficult. Eight relatively common syndromes are dis- Hall JG. 2010. Review and hypothesis: cussed identifying their unique distinguishing features, over- Syndromes with severe intrauterine growth lapping features, and those features common to all eight restriction and very short stature—are they syndromes. Many of these signs take a few years to develop and related to the epigenetic mechanism(s) of fetal the lifetime natural history of the disorders has not yet been survival involved in the developmental completely clarified. The theory behind developmental origins of origins of adult health and disease? adult health and disease suggests that there are mammalian Am J Med Genet Part A 152A:512–527. epigenetic fetal survival mechanisms that downregulate fetal growth, both in order for the fetus to survive until birth and to prepare it for a restricted extra-uterine environment, and that these mechanisms have long lasting effects on the adult health of for a restricted extra-uterine environment [Gluckman and Hanson, the individual. Silver–Russell syndrome phenotype has recently 2005; Gluckman et al., 2008]. -
Identification of Expression Qtls Targeting Candidate Genes For
ISSN: 2378-3648 Salleh et al. J Genet Genome Res 2018, 5:035 DOI: 10.23937/2378-3648/1410035 Volume 5 | Issue 1 Journal of Open Access Genetics and Genome Research RESEARCH ARTICLE Identification of Expression QTLs Targeting Candidate Genes for Residual Feed Intake in Dairy Cattle Using Systems Genomics Salleh MS1,2, Mazzoni G2, Nielsen MO1, Løvendahl P3 and Kadarmideen HN2,4* 1Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark Check for 2Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark updates 3Department of Molecular Biology and Genetics-Center for Quantitative Genetics and Genomics, Aarhus University, AU Foulum, Tjele, Denmark 4Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark *Corresponding author: Kadarmideen HN, Department of Applied Mathematics and Computer Science, Technical University of Denmark, DK-2800, Kgs. Lyngby, Denmark, E-mail: [email protected] Abstract body weight gain and net merit). The eQTLs and biological pathways identified in this study improve our understanding Background: Residual feed intake (RFI) is the difference of the complex biological and genetic mechanisms that de- between actual and predicted feed intake and an important termine FE traits in dairy cattle. The identified eQTLs/genet- factor determining feed efficiency (FE). Recently, 170 can- ic variants can potentially be used in new genomic selection didate genes were associated with RFI, but no expression methods that include biological/functional information on quantitative trait loci (eQTL) mapping has hitherto been per- SNPs. formed on FE related genes in dairy cows. In this study, an integrative systems genetics approach was applied to map Keywords eQTLs in Holstein and Jersey cows fed two different diets to eQTL, RNA-seq, Genotype, Data integration, Systems improve identification of candidate genes for FE. -
Supplementary Text Figures
Supplementary Text Figures Figure S1: Comparison of cytokine-cytokine correlation in FINRISK07, FINRISK02, and YFS07. The heatmaps show the correlations between the normalised cytokines residuals in the discovery dataset, (A) FINRISK97, and the replication datasets, (B) FINRISK02 and (C) YFS07. Each square represents the Pearson’s correlation coefficient between the cytokines. The black box shows the correlation patterns among the 11 correlated cytokines (discovered using the FINRISK97) across the three datasets. The correlation matrix in FINRISK07 was subjected to hierarchical clustering using distance as 1 minus the absolute value of the correlations. The ordering of rows and columns in FINRISK02 and YFS07 was defined by the ordering in FINRISK07. The strength of the correlations is indicated by the colour on the scale, where red is a high positive correlation. Figure S2: Quantile-quantile (Q-Q) plots resulting from the multivariate GWAS in the three cohorts separately and meta-analysis. Q-Q plots of observed (y-axis) vs. expected P values (x-axis) for each SNP from the multivariate genome-wide association in (A) FINRISK97, (B) FINRISK02, (C) YFS07, and (D) Meta-analysis of the three cohorts. The diagonal red line (y=x) indicates null hypothesis of no association. The inflation factor (λ) was between 1.0 – 1.02 suggesting that inflation from population substructure or other confounders was appropriately adjusted for. Figure S3: Regional association plots for each of the 8 loci associated with the cytokine network from the meta-analysed multivariate GWA analysis. (A) VEGFA locus, rs7767396 is an intergenic SNP located 172.83kb downstream of vascular endothelial growth factor A (VEGFA) gene on chromosome 6p21.1.