E. M. G. Campbell, D. Nonneman and G. A. Rohrer Chromosome 8 Fine Mapping a Quantitative Trait Locus Affecting Ovulation Rate In
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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 -
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. -
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. -
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. -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
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. -
Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis
Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you. -
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 ......................................................................................................