(MRD) in Acute Myeloid Leukaemia (AML) E
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 -
Tumor Elastography and Its Association with Cell-Free Tumor DNA in the Plasma of Breast Tumor Patients: a Pilot Study
3534 Original Article Tumor elastography and its association with cell-free tumor DNA in the plasma of breast tumor patients: a pilot study Yi Hao1#, Wei Yang2#, Wenyi Zheng2,3#, Xiaona Chen3,4, Hui Wang1,5, Liang Zhao1,5, Jinfeng Xu6,7, Xia Guo4 1Department of Ultrasound, South China Hospital of Shenzhen University, Shenzhen, China; 2Department of Ultrasound, Shenzhen Hospital, Southern Medical University, Shenzhen, China; 3The Third School of Clinical Medicine, Southern Medical University, Guangzhou, China; 4Shenzhen Key Laboratory of Viral Oncology, Center for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen, China; 5Department of Ultrasound, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi, China; 6Department of Ultrasound, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, Shenzhen, China; 7The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China #These authors contributed equally to this work. Correspondence to: Xia Guo. Shenzhen Key Laboratory of Viral Oncology, Center for Clinical Research and Innovation (CCRI), Shenzhen Hospital, Southern Medical University, Shenzhen 518000, China. Email: [email protected]; Jinfeng Xu. Department of Ultrasound, Shenzhen People’s Hospital (The Second Clinical Medical College, Jinan University, Shenzhen 518020, China; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen 518020, China. Email: [email protected]. Background: Breast tumor stiffness, which can be objectively and noninvasively evaluated by ultrasound elastography (UE), has been useful for the differentiation of benign and malignant breast lesions and the prediction of clinical outcomes. Liquid biopsy analyses, including cell-free tumor DNA (ctDNA), exhibit great potential for personalized treatment. This study aimed to investigate the correlations between the UE and ctDNA for early breast cancer diagnosis. -
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. -
The Central Role of Fibrinolytic Response in COVID-19—A Hematologist’S Perspective
International Journal of Molecular Sciences Review The Central Role of Fibrinolytic Response in COVID-19—A Hematologist’s Perspective Hau C. Kwaan 1,* and Paul F. Lindholm 2 1 Division of Hematology/Oncology, Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA 2 Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA; [email protected] * Correspondence: [email protected] Abstract: The novel coronavirus disease (COVID-19) has many characteristics common to those in two other coronavirus acute respiratory diseases, severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS). They are all highly contagious and have severe pulmonary complications. Clinically, patients with COVID-19 run a rapidly progressive course of an acute respiratory tract infection with fever, sore throat, cough, headache and fatigue, complicated by severe pneumonia often leading to acute respiratory distress syndrome (ARDS). The infection also involves other organs throughout the body. In all three viral illnesses, the fibrinolytic system plays an active role in each phase of the pathogenesis. During transmission, the renin-aldosterone- angiotensin-system (RAAS) is involved with the spike protein of SARS-CoV-2, attaching to its natural receptor angiotensin-converting enzyme 2 (ACE 2) in host cells. Both tissue plasminogen activator (tPA) and plasminogen activator inhibitor 1 (PAI-1) are closely linked to the RAAS. In lesions in the lung, kidney and other organs, the two plasminogen activators urokinase-type plasminogen activator (uPA) and tissue plasminogen activator (tPA), along with their inhibitor, plasminogen activator 1 (PAI-1), are involved. The altered fibrinolytic balance enables the development of a hypercoagulable Citation: Kwaan, H.C.; Lindholm, state. -
Assembly of an Integrated Human Lung Cell Atlas Reveals That
medRxiv preprint doi: https://doi.org/10.1101/2020.06.02.20120634; this version posted June 4, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Assembly of an integrated human lung cell atlas reveals that SARS-CoV-2 receptor is co-expressed with key elements of the kinin-kallikrein, renin-angiotensin and coagulation systems in alveolar cells Davi Sidarta-Oliveira1,2, Carlos Poblete Jara1,3, Adriano J. Ferruzzi4, Munir S. Skaf4, William H. Velander5, Eliana P. Araujo1,3, Licio A. Velloso1 1Laboratory of Cell Signaling, Obesity and Comorbidities Research Center, University of Campinas, Brazil 2 Physician-Scientist Graduate Program, School of Medical Sciences, University of Campinas, Brazil 3Nursing School, University of Campinas, Brazil 4Institute of Chemistry and Center for Computing in Engineering and Sciences University of Campinas, Brazil 5Department of Chemical and Biomolecular Engineering, University of Nebraska, Lincoln, USA Correspondence: Licio A. Velloso Laboratory of Cell Signaling, Obesity and Comorbidities Research Center, University of Campinas, Campinas, Brazil Address: Rua Carl Von Lineaus s/n, Instituto de Biologia - Bloco Z. Campus Universitário Zeferino Vaz - Barão Geraldo, Campinas - SP, 13083-864 Phone: +55 19 3521-0025 E-mail: [email protected] Abstract SARS-CoV-2, the pathogenic agent of COVID-19, employs angiotensin converting enzyme-2 (ACE2) as its cell entry receptor. Clinical data reveal that in severe COVID- 19, SARS-CoV-2 infects the lung, leading to a frequently lethal triad of respiratory insufficiency, acute cardiovascular failure, and coagulopathy. -
How Relevant Are Bone Marrow-Derived Mast Cells (Bmmcs) As Models for Tissue Mast Cells? a Comparative Transcriptome Analysis of Bmmcs and Peritoneal Mast Cells
cells Article How Relevant Are Bone Marrow-Derived Mast Cells (BMMCs) as Models for Tissue Mast Cells? A Comparative Transcriptome Analysis of BMMCs and Peritoneal Mast Cells 1, 2, 1 1 2,3 Srinivas Akula y , Aida Paivandy y, Zhirong Fu , Michael Thorpe , Gunnar Pejler and Lars Hellman 1,* 1 Department of Cell and Molecular Biology, Uppsala University, The Biomedical Center, Box 596, SE-751 24 Uppsala, Sweden; [email protected] (S.A.); [email protected] (Z.F.); [email protected] (M.T.) 2 Department of Medical Biochemistry and Microbiology, Uppsala University, The Biomedical Center, Box 589, SE-751 23 Uppsala, Sweden; [email protected] (A.P.); [email protected] (G.P.) 3 Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Box 7011, SE-75007 Uppsala, Sweden * Correspondence: [email protected]; Tel.: +46-(0)18-471-4532; Fax: +46-(0)18-471-4862 These authors contributed equally to this work. y Received: 29 July 2020; Accepted: 16 September 2020; Published: 17 September 2020 Abstract: Bone marrow-derived mast cells (BMMCs) are often used as a model system for studies of the role of MCs in health and disease. These cells are relatively easy to obtain from total bone marrow cells by culturing under the influence of IL-3 or stem cell factor (SCF). After 3 to 4 weeks in culture, a nearly homogenous cell population of toluidine blue-positive cells are often obtained. However, the question is how relevant equivalents these cells are to normal tissue MCs. By comparing the total transcriptome of purified peritoneal MCs with BMMCs, here we obtained a comparative view of these cells. -
The Plasmin–Antiplasmin System: Structural and Functional Aspects
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Bern Open Repository and Information System (BORIS) Cell. Mol. Life Sci. (2011) 68:785–801 DOI 10.1007/s00018-010-0566-5 Cellular and Molecular Life Sciences REVIEW The plasmin–antiplasmin system: structural and functional aspects Johann Schaller • Simon S. Gerber Received: 13 April 2010 / Revised: 3 September 2010 / Accepted: 12 October 2010 / Published online: 7 December 2010 Ó Springer Basel AG 2010 Abstract The plasmin–antiplasmin system plays a key Plasminogen activator inhibitors Á a2-Macroglobulin Á role in blood coagulation and fibrinolysis. Plasmin and Multidomain serine proteases a2-antiplasmin are primarily responsible for a controlled and regulated dissolution of the fibrin polymers into solu- Abbreviations ble fragments. However, besides plasmin(ogen) and A2PI a2-Antiplasmin, a2-Plasmin inhibitor a2-antiplasmin the system contains a series of specific CHO Carbohydrate activators and inhibitors. The main physiological activators EGF-like Epidermal growth factor-like of plasminogen are tissue-type plasminogen activator, FN1 Fibronectin type I which is mainly involved in the dissolution of the fibrin K Kringle polymers by plasmin, and urokinase-type plasminogen LBS Lysine binding site activator, which is primarily responsible for the generation LMW Low molecular weight of plasmin activity in the intercellular space. Both activa- a2M a2-Macroglobulin tors are multidomain serine proteases. Besides the main NTP N-terminal peptide of Pgn physiological inhibitor a2-antiplasmin, the plasmin–anti- PAI-1, -2 Plasminogen activator inhibitor 1, 2 plasmin system is also regulated by the general protease Pgn Plasminogen inhibitor a2-macroglobulin, a member of the protease Plm Plasmin inhibitor I39 family. -
1 No. Affymetrix ID Gene Symbol Genedescription Gotermsbp Q Value 1. 209351 at KRT14 Keratin 14 Structural Constituent of Cyto
1 Affymetrix Gene Q No. GeneDescription GOTermsBP ID Symbol value structural constituent of cytoskeleton, intermediate 1. 209351_at KRT14 keratin 14 filament, epidermis development <0.01 biological process unknown, S100 calcium binding calcium ion binding, cellular 2. 204268_at S100A2 protein A2 component unknown <0.01 regulation of progression through cell cycle, extracellular space, cytoplasm, cell proliferation, protein kinase C inhibitor activity, protein domain specific 3. 33323_r_at SFN stratifin/14-3-3σ binding <0.01 regulation of progression through cell cycle, extracellular space, cytoplasm, cell proliferation, protein kinase C inhibitor activity, protein domain specific 4. 33322_i_at SFN stratifin/14-3-3σ binding <0.01 structural constituent of cytoskeleton, intermediate 5. 201820_at KRT5 keratin 5 filament, epidermis development <0.01 structural constituent of cytoskeleton, intermediate 6. 209125_at KRT6A keratin 6A filament, ectoderm development <0.01 regulation of progression through cell cycle, extracellular space, cytoplasm, cell proliferation, protein kinase C inhibitor activity, protein domain specific 7. 209260_at SFN stratifin/14-3-3σ binding <0.01 structural constituent of cytoskeleton, intermediate 8. 213680_at KRT6B keratin 6B filament, ectoderm development <0.01 receptor activity, cytosol, integral to plasma membrane, cell surface receptor linked signal transduction, sensory perception, tumor-associated calcium visual perception, cell 9. 202286_s_at TACSTD2 signal transducer 2 proliferation, membrane <0.01 structural constituent of cytoskeleton, cytoskeleton, intermediate filament, cell-cell adherens junction, epidermis 10. 200606_at DSP desmoplakin development <0.01 lectin, galactoside- sugar binding, extracellular binding, soluble, 7 space, nucleus, apoptosis, 11. 206400_at LGALS7 (galectin 7) heterophilic cell adhesion <0.01 2 S100 calcium binding calcium ion binding, epidermis 12. 205916_at S100A7 protein A7 (psoriasin 1) development <0.01 S100 calcium binding protein A8 (calgranulin calcium ion binding, extracellular 13. -
Plasmin (Human) 1.00 Mg
Plasmin (Human) 1.00 mg Ref#: HPLAS Lot#: xxxxxx Exp. Date: xxxx-xx Store at -10°C to -20°C For Research Use Only Not for Use in Diagnostic Procedures For in vitro use only Description: Plasmin Format: Frozen in 50mM Hepes/ 50 mM sodium acetate/ 50% glycerol/ pH 8.5 Host: Human Storage: Store between -10°C and -20°C Volume: 1 vial containing 0.962 mL Total Protein: 1.00 mg 1% Concentration: 1.04 mg/mL by Absorbance; Extinction Coefficient E 280 = 17.0 Activity: 228.00 nkat/mg Molecular weight: 83000 daltons Plasminogen is synthesized in the liver and circulates in plasma at a concentration of ~200 μg/mL (~2.3 μM). Plasminogen is a single-chain glycoprotein of ~88 kDa that consists of a catalytic domain followed by five kringle structures. Within these kringle structures are four low-affinity lysine binding sites and one high-affinity lysine binding site. It is through these lysine binding sites that plasminogen binds to fibrin and to α2-Antiplasmin. Native Plasminogen (Glu-Plasminogen) exists in two variants that differ in their extent of glycosylation, and each variant has up to six isoelectric forms with respect to sialic acid content, for a total of 12 molecular forms. Activation of Glu-Plasminogen by the Plasminogen activators Urokinase (UPA), or tissue Plasminogen Activator (tPA) occurs by cleavage after residue Arg560 to produce the two-chain active serine protease Plasmin. In a positive feedback reaction, the Plasmin generated cleaves an ~8 kDa peptide from Glu-Plasminogen, producing lys77- Plasminogen which has a higher affinity for Fibrin and when bound is a preferred substrate for Plasminogen activators such as Urokinase. -
DIPPER, a Spatiotemporal Proteomics Atlas of Human Intervertebral Discs
TOOLS AND RESOURCES DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics Vivian Tam1,2†, Peikai Chen1†‡, Anita Yee1, Nestor Solis3, Theo Klein3§, Mateusz Kudelko1, Rakesh Sharma4, Wilson CW Chan1,2,5, Christopher M Overall3, Lisbet Haglund6, Pak C Sham7, Kathryn Song Eng Cheah1, Danny Chan1,2* 1School of Biomedical Sciences, , The University of Hong Kong, Hong Kong; 2The University of Hong Kong Shenzhen of Research Institute and Innovation (HKU-SIRI), Shenzhen, China; 3Centre for Blood Research, Faculty of Dentistry, University of British Columbia, Vancouver, Canada; 4Proteomics and Metabolomics Core Facility, The University of Hong Kong, Hong Kong; 5Department of Orthopaedics Surgery and Traumatology, HKU-Shenzhen Hospital, Shenzhen, China; 6Department of Surgery, McGill University, Montreal, Canada; 7Centre for PanorOmic Sciences (CPOS), The University of Hong Kong, Hong Kong Abstract The spatiotemporal proteome of the intervertebral disc (IVD) underpins its integrity *For correspondence: and function. We present DIPPER, a deep and comprehensive IVD proteomic resource comprising [email protected] 94 genome-wide profiles from 17 individuals. To begin with, protein modules defining key †These authors contributed directional trends spanning the lateral and anteroposterior axes were derived from high-resolution equally to this work spatial proteomes of intact young cadaveric lumbar IVDs. They revealed novel region-specific Present address: ‡Department profiles of regulatory activities -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
Single-Cell RNA-Seq Identifies Unique Transcriptional Landscapes Of
www.nature.com/scientificreports OPEN Single‑cell RNA‑seq identifes unique transcriptional landscapes of human nucleus pulposus and annulus fbrosus cells Lorenzo M. Fernandes1,2,4, Nazir M. Khan1,2,4, Camila M. Trochez3, Meixue Duan3, Martha E. Diaz‑Hernandez1,2, Steven M. Presciutti1,2, Greg Gibson3 & Hicham Drissi1,2* Intervertebral disc (IVD) disease (IDD) is a complex, multifactorial disease. While various aspects of IDD progression have been reported, the underlying molecular pathways and transcriptional networks that govern the maintenance of healthy nucleus pulposus (NP) and annulus fbrosus (AF) have not been fully elucidated. We defned the transcriptome map of healthy human IVD by performing single‑ cell RNA‑sequencing (scRNA‑seq) in primary AF and NP cells isolated from non‑degenerated lumbar disc. Our systematic and comprehensive analyses revealed distinct genetic architecture of human NP and AF compartments and identifed 2,196 diferentially expressed genes. Gene enrichment analysis showed that SFRP1, BIRC5, CYTL1, ESM1 and CCNB2 genes were highly expressed in the AF cells; whereas, COL2A1, DSC3, COL9A3, COL11A1, and ANGPTL7 were mostly expressed in the NP cells. Further, functional annotation clustering analysis revealed the enrichment of receptor signaling pathways genes in AF cells, while NP cells showed high expression of genes related to the protein synthesis machinery. Subsequent interaction network analysis revealed a structured network of extracellular matrix genes in NP compartments. Our regulatory network analysis identifed FOXM1 and KDM4E as signature transcription factor of AF and NP respectively, which might be involved in the regulation of core genes of AF and NP transcriptome. Intervertebral disc (IVD) degeneration (IDD) is a pathophysiological process and is a common contributor to the development of chronic lower back pain1–4.