GDF6 Knockdown in a Family with Multiple Synostosis Syndrome and Speech Impairment
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KRBA1 CRISPR/Cas9 KO Plasmid (M): Sc-429589
SANTA CRUZ BIOTECHNOLOGY, INC. KRBA1 CRISPR/Cas9 KO Plasmid (m): sc-429589 BACKGROUND APPLICATIONS The Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and KRBA1 CRISPR/Cas9 KO Plasmid (m) is recommended for the disruption of CRISPR-associated protein (Cas9) system is an adaptive immune response gene expression in mouse cells. defense mechanism used by archea and bacteria for the degradation of for- eign genetic material (4,6). This mechanism can be repurposed for other 20 nt non-coding RNA sequence: guides Cas9 functions, including genomic engineering for mammalian systems, such as to a specific target location in the genomic DNA gene knockout (KO) (1,2,3,5). CRISPR/Cas9 KO Plasmid products enable the U6 promoter: drives gRNA scaffold: helps Cas9 identification and cleavage of specific genes by utilizing guide RNA (gRNA) expression of gRNA bind to target DNA sequences derived from the Genome-scale CRISPR Knock-Out (GeCKO) v2 library developed in the Zhang Laboratory at the Broad Institute (3,5). Termination signal Green Fluorescent Protein: to visually REFERENCES verify transfection CRISPR/Cas9 Knockout Plasmid CBh (chicken β-Actin 1. Cong, L., et al. 2013. Multiplex genome engineering using CRISPR/Cas hybrid) promoter: drives systems. Science 339: 819-823. 2A peptide: expression of Cas9 allows production of both Cas9 and GFP from the 2. Mali, P., et al. 2013. RNA-guided human genome engineering via Cas9. same CBh promoter Science 339: 823-826. Nuclear localization signal 3. Ran, F.A., et al. 2013. Genome engineering using the CRISPR-Cas9 system. Nuclear localization signal SpCas9 ribonuclease Nat. Protoc. 8: 2281-2308. -
Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. 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. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Topological Scoring of Protein Interaction Networks
bioRxiv preprint doi: https://doi.org/10.1101/438408; this version posted October 8, 2018. 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. Topological Scoring of Protein Interaction Networks Mihaela E. Sardiu1, Joshua M. Gilmore1,2, Brad D. Groppe1,3, Arnob Dutta1,4, Laurence Florens1, and Michael P. Washburn1,5‡ 1Stowers Institute for Medical Research, Kansas City, MO 64110 U.S.A. 2Current Address: Boehringer Ingelheim Vetmedica, St. Joseph, MO 64506 U.S.A. 3Current Address: Thermo Fisher Scientific, Waltham, MA 02451, U.S.A. 4Current Address: Department of Cell and Molecular Biology, University of Rhode Island, 287 CBLS, 120 Flagg Road, Kingston, RI 02881. 5 Department of Pathology and Laboratory Medicine, The University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, Kansas 66160, USA ‡To whom correspondence should be addressed: Michael Washburn, Ph.D. Stowers Institute for Medical Research 1000 E. 50th St. Kansas City, MO 64110 Phone: 816-926-4457 E-mail: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/438408; this version posted October 8, 2018. 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. Abstract It remains a significant challenge to define individual protein associations within networks where an individual protein can directly interact with other proteins and/or be part of large complexes, which contain functional modules. Here we demonstrate the topological scoring (TopS) algorithm for the analysis of quantitative proteomic analyses of affinity purifications. -
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. -
Widespread Cis-Regulatory Convergence Between the Extinct Tasmanian Tiger and Gray Wolf
Downloaded from genome.cshlp.org on October 7, 2021 - Published by Cold Spring Harbor Laboratory Press Research Widespread cis-regulatory convergence between the extinct Tasmanian tiger and gray wolf Charles Y. Feigin,1,2 Axel H. Newton,1,3 and Andrew J. Pask1,3 1School of BioSciences, The University of Melbourne, Parkville, Victoria 3010, Australia; 2Department of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA; 3Museums Victoria, Melbourne, Victoria 3053, Australia The extinct marsupial Tasmanian tiger, or thylacine, and the eutherian gray wolf are among the most widely recognized examples of convergent evolution in mammals. Despite being distantly related, these large predators independently evolved extremely similar craniofacial morphologies, and evidence suggests that they filled similar ecological niches. Previous anal- yses revealed little evidence of adaptive convergence between their protein-coding genes. Thus, the genetic basis of their convergence is still unclear. Here, we identified candidate craniofacial cis-regulatory elements across vertebrates and com- pared their evolutionary rates in the thylacine and wolf, revealing abundant signatures of convergent positive selection. Craniofacial thylacine–wolf accelerated regions were enriched near genes involved in TGF beta (TGFB) and BMP signaling, both of which are key morphological signaling pathways with critical roles in establishing the identities and boundaries be- tween craniofacial tissues. Similarly, enhancers of genes involved in craniofacial nerve development showed convergent se- lection and involvement in these pathways. Taken together, these results suggest that adaptation in cis-regulators of TGF beta and BMP signaling may provide a mechanism to explain the coevolution of developmentally and functionally integrat- ed craniofacial structures in these species. -
The Genetic Heterogeneity of Brachydactyly Type A1: Identifying the Molecular Pathways
The genetic heterogeneity of brachydactyly type A1: Identifying the molecular pathways Lemuel Jean Racacho Thesis submitted to the Faculty of Graduate Studies and Postdoctoral Studies in partial fulfillment of the requirements for the Doctorate in Philosophy degree in Biochemistry Specialization in Human and Molecular Genetics Department of Biochemistry, Microbiology and Immunology Faculty of Medicine University of Ottawa © Lemuel Jean Racacho, Ottawa, Canada, 2015 Abstract Brachydactyly type A1 (BDA1) is a rare autosomal dominant trait characterized by the shortening of the middle phalanges of digits 2-5 and of the proximal phalange of digit 1 in both hands and feet. Many of the brachymesophalangies including BDA1 have been associated with genetic perturbations along the BMP-SMAD signaling pathway. The goal of this thesis is to identify the molecular pathways that are associated with the BDA1 phenotype through the genetic assessment of BDA1-affected families. We identified four missense mutations that are clustered with other reported BDA1 mutations in the central region of the N-terminal signaling peptide of IHH. We also identified a missense mutation in GDF5 cosegregating with a semi-dominant form of BDA1. In two families we reported two novel BDA1-associated sequence variants in BMPR1B, the gene which codes for the receptor of GDF5. In 2002, we reported a BDA1 trait linked to chromosome 5p13.3 in a Canadian kindred (BDA1B; MIM %607004) but we did not discover a BDA1-causal variant in any of the protein coding genes within the 2.8 Mb critical region. To provide a higher sensitivity of detection, we performed a targeted enrichment of the BDA1B locus followed by high-throughput sequencing. -
Genetics of Congenital Hand Anomalies
G. C. Schwabe1 S. Mundlos2 Genetics of Congenital Hand Anomalies Die Genetik angeborener Handfehlbildungen Original Article Abstract Zusammenfassung Congenital limb malformations exhibit a wide spectrum of phe- Angeborene Handfehlbildungen sind durch ein breites Spektrum notypic manifestations and may occur as an isolated malforma- an phänotypischen Manifestationen gekennzeichnet. Sie treten tion and as part of a syndrome. They are individually rare, but als isolierte Malformation oder als Teil verschiedener Syndrome due to their overall frequency and severity they are of clinical auf. Die einzelnen Formen kongenitaler Handfehlbildungen sind relevance. In recent years, increasing knowledge of the molecu- selten, besitzen aber aufgrund ihrer Häufigkeit insgesamt und lar basis of embryonic development has significantly enhanced der hohen Belastung für Betroffene erhebliche klinische Rele- our understanding of congenital limb malformations. In addi- vanz. Die fortschreitende Erkenntnis über die molekularen Me- tion, genetic studies have revealed the molecular basis of an in- chanismen der Embryonalentwicklung haben in den letzten Jah- creasing number of conditions with primary or secondary limb ren wesentlich dazu beigetragen, die genetischen Ursachen kon- involvement. The molecular findings have led to a regrouping of genitaler Malformationen besser zu verstehen. Der hohe Grad an malformations in genetic terms. However, the establishment of phänotypischer Variabilität kongenitaler Handfehlbildungen er- precise genotype-phenotype correlations for limb malforma- schwert jedoch eine Etablierung präziser Genotyp-Phänotyp- tions is difficult due to the high degree of phenotypic variability. Korrelationen. In diesem Übersichtsartikel präsentieren wir das We present an overview of congenital limb malformations based Spektrum kongenitaler Malformationen, basierend auf einer ent- 85 on an anatomic and genetic concept reflecting recent molecular wicklungsbiologischen, anatomischen und genetischen Klassifi- and developmental insights. -
Orphanet Journal of Rare Diseases Biomed Central
Orphanet Journal of Rare Diseases BioMed Central Review Open Access Brachydactyly Samia A Temtamy* and Mona S Aglan Address: Department of Clinical Genetics, Human Genetics and Genome Research Division, National Research Centre (NRC), El-Buhouth St., Dokki, 12311, Cairo, Egypt Email: Samia A Temtamy* - [email protected]; Mona S Aglan - [email protected] * Corresponding author Published: 13 June 2008 Received: 4 April 2008 Accepted: 13 June 2008 Orphanet Journal of Rare Diseases 2008, 3:15 doi:10.1186/1750-1172-3-15 This article is available from: http://www.ojrd.com/content/3/1/15 © 2008 Temtamy and Aglan; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Brachydactyly ("short digits") is a general term that refers to disproportionately short fingers and toes, and forms part of the group of limb malformations characterized by bone dysostosis. The various types of isolated brachydactyly are rare, except for types A3 and D. Brachydactyly can occur either as an isolated malformation or as a part of a complex malformation syndrome. To date, many different forms of brachydactyly have been identified. Some forms also result in short stature. In isolated brachydactyly, subtle changes elsewhere may be present. Brachydactyly may also be accompanied by other hand malformations, such as syndactyly, polydactyly, reduction defects, or symphalangism. For the majority of isolated brachydactylies and some syndromic forms of brachydactyly, the causative gene defect has been identified. -
Supp Material.Pdf
Simon et al. Supplementary information: Table of contents p.1 Supplementary material and methods p.2-4 • PoIy(I)-poly(C) Treatment • Flow Cytometry and Immunohistochemistry • Western Blotting • Quantitative RT-PCR • Fluorescence In Situ Hybridization • RNA-Seq • Exome capture • Sequencing Supplementary Figures and Tables Suppl. items Description pages Figure 1 Inactivation of Ezh2 affects normal thymocyte development 5 Figure 2 Ezh2 mouse leukemias express cell surface T cell receptor 6 Figure 3 Expression of EZH2 and Hox genes in T-ALL 7 Figure 4 Additional mutation et deletion of chromatin modifiers in T-ALL 8 Figure 5 PRC2 expression and activity in human lymphoproliferative disease 9 Figure 6 PRC2 regulatory network (String analysis) 10 Table 1 Primers and probes for detection of PRC2 genes 11 Table 2 Patient and T-ALL characteristics 12 Table 3 Statistics of RNA and DNA sequencing 13 Table 4 Mutations found in human T-ALLs (see Fig. 3D and Suppl. Fig. 4) 14 Table 5 SNP populations in analyzed human T-ALL samples 15 Table 6 List of altered genes in T-ALL for DAVID analysis 20 Table 7 List of David functional clusters 31 Table 8 List of acquired SNP tested in normal non leukemic DNA 32 1 Simon et al. Supplementary Material and Methods PoIy(I)-poly(C) Treatment. pIpC (GE Healthcare Lifesciences) was dissolved in endotoxin-free D-PBS (Gibco) at a concentration of 2 mg/ml. Mice received four consecutive injections of 150 μg pIpC every other day. The day of the last pIpC injection was designated as day 0 of experiment. -
A Review of the Management of Single-Suture Craniosynostosis, Past, Present, and Future
LITERATURE REVIEW J Neurosurg Pediatr 24:622–631, 2019 A review of the management of single-suture craniosynostosis, past, present, and future JNSPG 75th Anniversary Invited Review Article Mark R. Proctor, MD,1 and John G. Meara, MD, DMD, MBA2 Departments of 1Neurosurgery and 2Plastic and Oral Surgery, Boston Children’s Hospital, Boston, Massachusetts BACKGROUND Craniosynostosis is a condition in which 2 or more of the skull bones fuse prematurely. The spectrum of the disorder most commonly involves the closure of a single suture in the skull, but it can also involve syndromic di- agnoses in which multiple skull bones and/or bones outside of the cranium are affected. Craniosynostosis can result in cosmetic deformity as well as potential limitations in brain growth and development, and the neurocognitive impact of the condition is just starting to be studied more thoroughly. Our knowledge regarding the genetics of this condition has also evolved substantially. In this review, the authors explore the medical and surgical advancements in understanding and treating this condition over the past century, with a focus on how the diagnosis and treatment have evolved. METHODS In this review article, the authors, who are the leaders of a craniofacial team at a major academic pediatric hospital, focus on single-suture craniosynostosis (SSC) affecting the 6 major cranial sutures and discuss the evolution of the treatment of SSC from its early history in modern medicine through the current state of the art and future trends. This discussion is based on the authors’ broad experience and a comprehensive review of the literature. SUMMARY The management of SSC has evolved substantially over the past 100 years. -
Characterization of a Y‐Specific Duplication/Insertion of the Anti
Received: 1 September 2019 | Revised: 20 December 2019 | Accepted: 24 December 2019 DOI: 10.1111/1755-0998.13133 RESOURCE ARTICLE Characterization of a Y-specific duplication/insertion of the anti-Mullerian hormone type II receptor gene based on a chromosome-scale genome assembly of yellow perch, Perca flavescens Romain Feron1,2 | Margot Zahm3 | Cédric Cabau4 | Christophe Klopp3,4 | Céline Roques5 | Olivier Bouchez5 | Camille Eché5 | Sophie Valière5 | Cécile Donnadieu5 | Pierrick Haffray6 | Anastasia Bestin6 | Romain Morvezen6 | Hervé Acloque7 | Peter T. Euclide8 | Ming Wen1,9 | Elodie Jouano1 | Manfred Schartl10,11 | John H. Postlethwait12 | Claire Schraidt13 | Mark R. Christie13,14 | Wesley A. Larson15 | Amaury Herpin1 | Yann Guiguen1 1INRAE, UR 1037 Fish Physiology and Genomics, Rennes, France 2Department of Ecology and Evolution, Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland 3Plate-forme bio-informatique Genotoul, Mathématiques et Informatique Appliquées de Toulouse, INRAE, Castanet Tolosan, France 4SIGENAE, GenPhySE, INRAE, ENVT, Université de Toulouse, Castanet Tolosan, France 5US 1426, GeT-PlaGe, INRAE, Genotoul, Castanet-Tolosan, France 6French Poultry and Aquaculture Breeders, SYSAAF, Rennes, France 7GenPhySE, INRAE, INPT, ENVT, Université de Toulouse, Castanet-Tolosan, France 8Wisconsin Cooperative Fishery Research Unit, University of Wisconsin-Stevens Point, Stevens Point, WI, USA 9State Key Laboratory of Developmental Biology of Freshwater Fish, College of Life Science, Hunan Normal University, Changsha, China 10Developmental Biochemistry, Biozentrum, University of Würzburg, Würzburg, Germany 11Department of Chemistry and Biochemistry, The Xiphophorus Genetic Stock Center, Texas State University, San Marcos, TX, USA 12Institute of Neuroscience, University of Oregon, Eugene, OR, USA 13Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN, USA 14Department of Biological Sciences, Purdue University, West Lafayette, IN, USA 15U.S. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase