Hepatic Malignancy in an Infant with Wolf--Hirschhorn Syndrome
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Cytogenomic SNP Microarray - Fetal ARUP Test Code 2002366 Maternal Contamination Study Fetal Spec Fetal Cells
Patient Report |FINAL Client: Example Client ABC123 Patient: Patient, Example 123 Test Drive Salt Lake City, UT 84108 DOB 2/13/1987 UNITED STATES Gender: Female Patient Identifiers: 01234567890ABCD, 012345 Physician: Doctor, Example Visit Number (FIN): 01234567890ABCD Collection Date: 00/00/0000 00:00 Cytogenomic SNP Microarray - Fetal ARUP test code 2002366 Maternal Contamination Study Fetal Spec Fetal Cells Single fetal genotype present; no maternal cells present. Fetal and maternal samples were tested using STR markers to rule out maternal cell contamination. This result has been reviewed and approved by Maternal Specimen Yes Cytogenomic SNP Microarray - Fetal Abnormal * (Ref Interval: Normal) Test Performed: Cytogenomic SNP Microarray- Fetal (ARRAY FE) Specimen Type: Direct (uncultured) villi Indication for Testing: Patient with 46,XX,t(4;13)(p16.3;q12) (Quest: EN935475D) ----------------------------------------------------------------- ----- RESULT SUMMARY Abnormal Microarray Result (Male) Unbalanced Translocation Involving Chromosomes 4 and 13 Classification: Pathogenic 4p Terminal Deletion (Wolf-Hirschhorn syndrome) Copy number change: 4p16.3p16.2 loss Size: 5.1 Mb 13q Proximal Region Deletion Copy number change: 13q11q12.12 loss Size: 6.1 Mb ----------------------------------------------------------------- ----- RESULT DESCRIPTION This analysis showed a terminal deletion (1 copy present) involving chromosome 4 within 4p16.3p16.2 and a proximal interstitial deletion (1 copy present) involving chromosome 13 within 13q11q12.12. This -
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. -
Oncogenomics of C-Myc Transgenic Mice Reveal Novel Regulators of Extracellular Signaling, Angiogenesis and Invasion with Clinica
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 60), pp: 101808-101831 Research Paper Oncogenomics of c-Myc transgenic mice reveal novel regulators of extracellular signaling, angiogenesis and invasion with clinical significance for human lung adenocarcinoma Yari Ciribilli1,2 and Jürgen Borlak2 1Centre for Integrative Biology (CIBIO), University of Trento, 38123 Povo (TN), Italy 2Centre for Pharmacology and Toxicology, Hannover Medical School, 30625 Hannover, Germany Correspondence to: Jürgen Borlak, email: [email protected] Keywords: c-Myc transgenic mouse model of lung cancer, papillary adenocarcinomas, whole genome scans, c-Myc regulatory gene networks, c-Myc targeted regulators of extracellular signaling Received: June 26, 2017 Accepted: September 21, 2017 Published: October 23, 2017 Copyright: Ciribilli et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT The c-Myc transcription factor is frequently deregulated in cancers. To search for disease diagnostic and druggable targets a transgenic lung cancer disease model was investigated. Oncogenomics identified c-Myc target genes in lung tumors. These were validated by RT-PCR, Western Blotting, EMSA assays and ChIP-seq data retrieved from public sources. Gene reporter and ChIP assays verified functional importance of c-Myc binding sites. The clinical significance was established by RT-qPCR in tumor and matched healthy control tissues, by RNA-seq data retrieved from the TCGA Consortium and by immunohistochemistry recovered from the Human Protein Atlas repository. In transgenic lung tumors 25 novel candidate genes were identified. -
SARS-Cov-2 Entry Protein TMPRSS2 and Its Homologue, TMPRSS4
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.26.441280; this version posted April 26, 2021. 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-NC-ND 4.0 International license. 1 SARS-CoV-2 Entry Protein TMPRSS2 and Its 2 Homologue, TMPRSS4 Adopts Structural Fold Similar 3 to Blood Coagulation and Complement Pathway 4 Related Proteins ∗,a ∗∗,b b 5 Vijaykumar Yogesh Muley , Amit Singh , Karl Gruber , Alfredo ∗,a 6 Varela-Echavarría a 7 Instituto de Neurobiología, Universidad Nacional Autónoma de México, Querétaro, México b 8 Institute of Molecular Biosciences, University of Graz, Graz, Austria 9 Abstract The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilizes TMPRSS2 receptor to enter target human cells and subsequently causes coron- avirus disease 19 (COVID-19). TMPRSS2 belongs to the type II serine proteases of subfamily TMPRSS, which is characterized by the presence of the serine- protease domain. TMPRSS4 is another TMPRSS member, which has a domain architecture similar to TMPRSS2. TMPRSS2 and TMPRSS4 have been shown to be involved in SARS-CoV-2 infection. However, their normal physiological roles have not been explored in detail. In this study, we analyzed the amino acid sequences and predicted 3D structures of TMPRSS2 and TMPRSS4 to under- stand their functional aspects at the protein domain level. Our results suggest that these proteins are likely to have common functions based on their conserved domain organization. -
Microrna-1182 and Let-7A Exert Synergistic Inhibition on Invasion
Pan et al. Cancer Cell Int (2021) 21:161 https://doi.org/10.1186/s12935-021-01797-z Cancer Cell International PRIMARY RESEARCH Open Access MicroRNA-1182 and let-7a exert synergistic inhibition on invasion, migration and autophagy of cholangiocarcinoma cells through down-regulation of NUAK1 Xin Pan*, Gang Wang and Baoming Wang Abstract Background: Cholangiocarcinoma (CCA) is the second most common primary liver malignancy worldwide. Several microRNAs (miRNAs) have been implicated as potential tumor suppressors in CCA. This study aims to explore the potential efects of miR-1182 and let-7a on CCA development. Methods: Bioinformatics analysis was conducted to screen diferentially expressed genes in CCA, Western blot analysis detected NUAK1 protein expression and RT-qPCR detected miR-1182, let-7a and NUAK1 expression in CCA tissues and cell lines. Dual luciferase reporter gene assay and RIP were applied to validate the relationship between miR-1182 and NUAK1 as well as between let-7a and NUAK1. Functional experiment was conducted to investigate the role of miR-1182, let-7a and NUAK1 in cell migration, proliferation and autophagy. Then, the CCA cells that received various treatments were implanted to mice to establish animal model, followed by tumor observation and HE staining to evaluate lung metastasis. Results: CCA tissues and cells were observed to have a high expression of NUAK1 and poor expression of miR-1182 and let-7a. NUAK1 was indicated as a target gene of miR-1182 and let-7a. Importantly, upregulation of either miR-1182 or let-7a induced autophagy, and inhibited cell progression and in vivo tumor growth and lung metastasis; moreover, combined treatment of miR-1182 and let-7a overexpression presented with enhanced inhibitory efect on NUAK1 expression and CCA progression, but such synergistic efect could be reversed by overexpression of NUAK1. -
High-Throughput Characterization of Blood Serum Proteomics of IBD Patients with Respect to Aging and Genetic Factors
RESEARCH ARTICLE High-Throughput Characterization of Blood Serum Proteomics of IBD Patients with Respect to Aging and Genetic Factors Antonio F. Di Narzo1,2, Shannon E. Telesco3, Carrie Brodmerkel3, Carmen Argmann1,2, Lauren A. Peters2,4, Katherine Li3, Brian Kidd1,2, Joel Dudley1,2, Judy Cho1,2, Eric E. Schadt1,2, Andrew Kasarskis1,2, Radu Dobrin3*, Ke Hao1,2* 1 Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America, 2 Icahn Institute of Genomics and Multiscale Biology, Icahn School of a1111111111 Medicine at Mount Sinai, New York, New York, United States of America, 3 Janssen R&D, LLC, Spring a1111111111 House, Pennsylvania, United States of America, 4 Graduate School of Biomedical Sciences, Icahn School of a1111111111 Medicine at Mount Sinai, New York, New York, United States of America a1111111111 a1111111111 * [email protected] (RD); [email protected] (KH) Abstract OPEN ACCESS To date, no large scale, systematic description of the blood serum proteome has been per- Citation: Di Narzo AF, Telesco SE, Brodmerkel C, formed in inflammatory bowel disease (IBD) patients. By using microarray technology, a Argmann C, Peters LA, Li K, et al. (2017) High- more complete description of the blood proteome of IBD patients is feasible. It may help to Throughput Characterization of Blood Serum achieve a better understanding of the disease. We analyzed blood serum profiles of 1128 Proteomics of IBD Patients with Respect to Aging and Genetic Factors. PLoS Genet 13(1): e1006565. proteins in IBD patients of European descent (84 Crohn's Disease (CD) subjects and 88 doi:10.1371/journal.pgen.1006565 Ulcerative Colitis (UC) subjects) as well as 15 healthy control subjects, and linked protein Editor: Gregory S. -
Genome-Wide DNA Methylation Analysis Reveals Molecular Subtypes of Pancreatic Cancer
www.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 17), pp: 28990-29012 Research Paper Genome-wide DNA methylation analysis reveals molecular subtypes of pancreatic cancer Nitish Kumar Mishra1 and Chittibabu Guda1,2,3,4 1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA 2Bioinformatics and Systems Biology Core, University of Nebraska Medical Center, Omaha, NE, 68198, USA 3Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA 4Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA Correspondence to: Chittibabu Guda, email: [email protected] Keywords: TCGA, pancreatic cancer, differential methylation, integrative analysis, molecular subtypes Received: October 20, 2016 Accepted: February 12, 2017 Published: March 07, 2017 Copyright: Mishra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Pancreatic cancer (PC) is the fourth leading cause of cancer deaths in the United States with a five-year patient survival rate of only 6%. Early detection and treatment of this disease is hampered due to lack of reliable diagnostic and prognostic markers. Recent studies have shown that dynamic changes in the global DNA methylation and gene expression patterns play key roles in the PC development; hence, provide valuable insights for better understanding the initiation and progression of PC. In the current study, we used DNA methylation, gene expression, copy number, mutational and clinical data from pancreatic patients. -
The Wild Species Genome Ancestry of Domestic Chickens Short Title: Chicken Genome Ancestry
Supplementary Materials Full title: The wild species genome ancestry of domestic chickens Short title: Chicken genome ancestry Raman Akinyanju Lawal1,2*#, Simon H. Martin3,4, Koen Vanmechelen5, Addie Vereijken6, Pradeepa Silva7, Raed Mahmod Al-Atiyat8, Riyadh Salah Aljumaah9, Joram M. Mwacharo10, Dong-Dong Wu11,12, Ya-Ping Zhang11,12, Paul M. Hocking13†, Jacqueline Smith13, David Wragg14 & Olivier Hanotte1, 14,15* 1Cells, Organisms and Molecular Genetics, School of Life Sciences, University of Nottingham, NG7 2RD, Nottingham, United Kingdom 2,#The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA 3Institute of Evolutionary Biology, University of Edinburgh, EH9 3FL, Edinburgh, United Kingdom 4Department of Zoology, University of Cambridge, CB2 3EJ, Cambridge, United Kingdom 5Open University of Diversity - Mouth Foundation, Hasselt, Belgium 6Hendrix Genetics, Technology and Service B.V., P.O. Box 114, 5830, AC, Boxmeer, The Netherlands 7Department of Animal Sciences, Faculty of Agriculture, University of Peradeniya, Sri Lanka 8Genetics and Biotechnology, Animal Science Department, Agriculture Faculty, Mutah University, Karak, Jordan 9Department of Animal Production, King Saud University, Saudi Arabia 10Small Ruminant Genomics, International Centre for Agricultural Research in the Dry Areas (ICARDA), P.O. Box 5689, ILRI-Ethiopia Campus, Addis Ababa, Ethiopia 11Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, 650223 Kunming, China 12State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 650223 Kunming, China. 13The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK 14Centre for Tropical Livestock Genetics and Health, The Roslin Institute, EH25 9RG, Edinburgh, UK 15LiveGene, International Livestock Research Institute (ILRI), P. -
Down-Regulation of Active HGFA and Matriptase As Therapeutic Targets Against Cancer
Roskilde University – Bachelor Project in Natural Sciences 6th semester, Spring 2016, house 14.2. Down-regulation of active HGFA and matriptase as therapeutic targets against cancer Gloire Irakunda, Ida Axholm, Karoline Knudsen List, Kiwi Kjøller, Rikke Svendsen & Simone Radziejewska Andreasen Supervisor: Cathy Mitchelmore Preface This study is a 6th semester bachelor project in medical and molecular biology on the Natural Science Bachelor at Roskilde University. The project is written in the spring semester of 2016 by Gloire Irakunda, Ida Axholm, Karoline Knudsen List, Kiwi Kjøller, Rikke Svendsen, and Simone Radziejewska Andreasen. The group would particularly like to thank our supervisor Cathy Mitchelmore, associate professor at the Institute of Science and Environment at RUC, for her guidance and supervision. In addition, we would like to thank Karin List, associate professor at Barbara Ann Karmanos Cancer Institute at Wayne State University School of Medicine, for feedback and answering clarifying questions. Furthermore, we would like to thank group 6 and their supervisor Michelle Vang for constructive criticisms. 1/60 Abstract The cellular mesenchymal-epithelial transition (c-MET) receptor is activated by the hepatocyte growth factor (HGF). The proform of HGF (pro-HGF) is cleaved and activated by the serine proteases matriptase and hepatocyte growth factor activator (HGFA). Only the active form of HGF is able to activate the c-MET receptor. Matriptase and HGFA are inhibited by the HGF activator inhibitors (HAI-1 and -2), which are encoded by the serine protease inhibitor kunitz type 1 and -2 (SPINT1 and -2) genes. An enhanced activation of the c-MET receptor is associated with increased cell proliferation, angiogenesis, invasion, and metastasis in cancer. -
Screening Differentially Expressed Genes of Pancreatic Cancer
Xu et al. BMC Cancer (2020) 20:298 https://doi.org/10.1186/s12885-020-06722-7 RESEARCH ARTICLE Open Access Screening differentially expressed genes of pancreatic cancer between Mongolian and Han people using bioinformatics technology Jiasheng Xu1†, Kaili Liao2†, Zhonghua Fu3* and Zhenfang Xiong1* Abstract Background: To screen and analyze differentially expressed genes in pancreatic carcinoma tissues taken from Mongolian and Han patients by Affymetrix Genechip. Methods: Pancreatic ductal cell carcinoma tissues were collected from the Mongolian and Han patients undergoing resection in the Second Affiliated Hospital of Nanchang University from March 2015 to May 2018 and the total RNA was extracted. Differentially expressed genes were selected from the total RNA qualified by Nanodrop 2000 and Agilent 2100 using Affymetrix and a cartogram was drawn; The gene ontology (GO) analysis and Pathway analysis were used for the collection and analysis of biological information of these differentially expressed genes. Finally, some differentially expressed genes were verified by real-time PCR. Results: Through the microarray analysis of gene expression, 970 differentially expressed genes were detected by comparing pancreatic cancer tissue samples between Mongolian and Han patients. A total of 257 genes were significantly up-regulated in pancreatic cancer tissue samples in Mongolian patients; while a total of 713 genes were down-regulated. In the Gene Ontology database, 815 differentially expressed genes were identified with clear GO classification, and CPB1 gene showed the highest increase in expression level (multiple difference: 31.76). The pathway analysis detected 28 signaling pathways that included these differentially expressed genes, involving a total of 178 genes. Among these pathways, the enrichment of differentially expressed genes in the FAK signaling pathway was the strongest and COL11A1 gene showed the highest multiple difference (multiple difference: 5.02). -
HGFAC Human Shrna Lentiviral Particle (Locus ID 3083) Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TL312466V HGFAC Human shRNA Lentiviral Particle (Locus ID 3083) Product data: Product Type: shRNA Lentiviral Particles Product Name: HGFAC Human shRNA Lentiviral Particle (Locus ID 3083) Locus ID: 3083 Synonyms: HGFA Vector: pGFP-C-shLenti (TR30023) Format: Lentiviral particles RefSeq: NM_001297439, NM_001528, NM_001528.1, NM_001528.2, NM_001528.3, NM_001297439.1, BC112190, BC112192, NM_001297439.2, NM_001528.4 Summary: This gene encodes a member of the peptidase S1 protein family. The encoded protein is first synthesized as an inactive single-chain precursor before being activated to a heterodimeric form by endoproteolytic processing. It acts as serine protease that converts hepatocyte growth factor to the active form. Alternative splicing results in multiple transcript variants. [provided by RefSeq, Jul 2014] shRNA Design: These shRNA constructs were designed against multiple splice variants at this gene locus. To be certain that your variant of interest is targeted, please contact [email protected]. If you need a special design or shRNA sequence, please utilize our custom shRNA service. Performance OriGene guarantees that the sequences in the shRNA expression cassettes are verified to Guaranteed: correspond to the target gene with 100% identity. One of the four constructs at minimum are guaranteed to produce 70% or more gene expression knock-down provided a minimum transfection efficiency of 80% is achieved. Western Blot data is recommended over qPCR to evaluate the silencing effect of the shRNA constructs 72 hrs post transfection. -
Tissue Block Preparation
HGFAC (Human) ELISA Kit Catalog Number KA5204 96 assays Version: 01 Intended for research use only www.abnova.com Table of Contents Introduction ................................................................................................... 3 Intended Use ................................................................................................................. 3 Background ................................................................................................................... 3 Principle of the Assay .................................................................................................... 3 General Information ...................................................................................... 4 Materials Supplied ......................................................................................................... 4 Storage Instruction ........................................................................................................ 4 Materials Required but Not Supplied ............................................................................. 4 Precautions for Use ....................................................................................................... 5 Assay Protocol .............................................................................................. 6 Reagent Preparation ..................................................................................................... 6 Sample Preparation ......................................................................................................