CaMOD – Cancer Models Database

Slides:



Advertisements
Similar presentations
From the eyes of an Administrator A general overview of e-CFunds Administrative Site, including navigation and exploring the features of this powerful.
Advertisements

Introduction The cancerGrid metadata registry (cgMDR) has proved effective as a lightweight, desktop solution, interoperable with caDSR, targeted at the.
CINAHL DATABASE FOR HINARI USERS: nursing and allied health information (Module 7.1)
REDCap Treatment Randomization Module
Animal Models in Cancer Research Ulli Wagner. November 4, 2010.
1 Welcome to the Protein Database Tutorial This tutorial will describe how to navigate the section of Gramene that provides collective information on proteins.
Aug. 20, JPL, SoCalBSI '091 The power of bioinformatics tools in cancer research Early Detection Research Network, JPL Mentors: Dr. Chris Mattmann,
Overview of Biomedical Informatics Rakesh Nagarajan.
18. Transgenic Models. Approaches Used in the Analysis of Mammalian Development Observations during embryogenesis Phenotypic analysis of developmental.
SpaceGRID and EGSO Satu Keski-Jaskari Maria Vappula Parallal Computing – Seminar
Using ArrayExpress. ArrayExpress is an international public repository for well-annotated microarray data, including gene expression, comparative genomic.
Using the Drupal Content Management Software (CMS) as a framework for OMICS/Imaging-based collaboration.
Best Practices for Including Enumerated Value Domains in UML Models What are the mechanics of creating CDEs associated with enumerated value domains in.
BTN323: INTRODUCTION TO BIOLOGICAL DATABASES Day2: Specialized Databases Lecturer: Junaid Gamieldien, PhD
Section 13.1 Add a hit counter to a Web page Identify the limitations of hit counters Describe the information gathered by tracking systems Create a guest.
Web 2.0: Concepts and Applications 2 Publishing Online.
CaBIG: the cancer Biomedical Informatics Grid Ken Buetow NCICB/NCI/NIH/DHHS.
OpenMDR: Generating Semantically Annotated Grid Services Rakesh Dhaval Shannon Hastings.
DHTML. What is DHTML?  DHTML is the combination of several built-in browser features in fourth generation browsers that enable a web page to be more.
Workshop on Enhanced Self-Evaluation Platform (SEP) on Information Technology in Education LIU, Man Lee & HO, Chung Hong Centre of Excellence Teachers.
The Earth System CoG Collaboration Environment Sylvia Murphy and Cecelia DeLuca (NOAA/CIRES), and Luca Cinquini (NASA/JPL) AGU Ocean Sciences February.
Cancer Bioinformatics Grid (caBIG) CANS 2006 Chicago, Illinois Shannon Hastings Department of Biomedical Informatics Ohio State University.
System for Administration, Training, and Educational Resources for NASA SATERN Overview for Learners May 2006.
MMHCC Informatics Providing Innovative and Integrative Informatics Solutions Johnita Beasley (SAIC) Dana Zhang (SAIC) Sharon Settnek (SAIC)
Support for MAGE-TAB in caArray 2.0 Overview and feedback MAGE-TAB Workshop January 24, 2008.
99ATS Turbocharge your Hiring Process !!. ON TARGET Solution offered by 99ATS Overview Introduction Gaps in Recruitment Process Screenshot overview of.
PUBLISHING ONLINE Chapter 2. Overview Blogs and wikis are two Web 2.0 tools that allow users to publish content online Blogs function as online journals.
CINAHL DATABASE FOR HINARI USERS: nursing and allied health information (Module 7.1)
LexEVS Overview Mayo Clinic Rochester, Minnesota June 2009.
Cancer Clinical Trial Suite (CCTS): An Introduction for Users A Tool Demonstration from caBIG™ Bill Dyer (NCI/Pyramed Research) June 2008.
Using the Open Metadata Registry (openMDR) to create Data Sharing Interfaces October 14 th, 2010 David Ervin & Rakesh Dhaval, Center for IT Innovations.
Page 1. July 2005 Page 2 Type search terms into box on the main page. Tutorial. Save searches in My NCBI ‘cubby.’ Enter PubMed by double- clicking in.
Intralab Workshop - Reactome CMAP Chang-Feng Quo June 29 th, 2006.
ZLOT Prototype Assessment John Carlo Bertot Associate Professor School of Information Studies Florida State University.
DONNA MAGLOTT, PH.D. PRO AND MEDICAL GENETICS RESOURCES AT NCBI.
Building and Running caGrid Workflows in Taverna 1 Computation Institute, University of Chicago and Argonne National Laboratory, Chicago, IL, USA 2 Mathematics.
CaNanoLab Users Group February 2012 Use of Informatics to Expedite and Validate the Application of Nanotechnology in Biomedicine.
System for Administration, Training, and Educational Resources for NASA SATERN Overview for Users December 2009.
1 © State of New South Wales through the NSW Department of Education and Training, This work may be freely reproduced and distributed for personal,
What is an Ontology? An ontology is a specification of a conceptualization that is designed for reuse across multiple applications and implementations.
1 LS DAM Overview and the Specimen Core February 16, 2012 Core Team: Ian Fore, D.Phil., NCI CBIIT, Robert Freimuth, Ph.D., Mayo Clinic, Elaine Freund,
Copenhagen, 7 June 2006 Toolkit update and maintenance Anton Cupcea Finsiel Romania.
CaCORE Software Development Kit George Komatsoulis 25-Feb-2005.
CaDSR Software Users Meeting 3.1 Requirements Review 9/19/2005 caDSR Software Team Host: Denise Warzel NCICB, Assistant Director, caDSR.
CaBench-to-Bedside (caB2B) An easy to use tool for searching across the caGrid Mukesh Sharma Washington University School of Medicine.
Clinical Collaboration Platform Overview ST Electronics (Training & Simulation Systems) 8 September 2009 Research Enablers  Consulting  Open Standards.
SPOREs Specialized Programs of Research Excellence Ryan Landy Qinyan Pan -SAIC 2003 NCICB Jamboree.
1 Cancer Models Database (caMOD). 2 History  January 2000 – Prototype is presented during the Mouse Models of Human Cancers (MMHCC) Steering Committee.
CaDSR O&M Draft Scope September 2010 Denise Warzel National Cancer Institute Center for Biomedical Informatics and Information Technology.
- EVS Overview - Biomedical Terminology and Ontology Resources Frank Hartel, Ph.D. Director, Enterprise Vocabulary Services NCI Center for Bioinformatics.
Lab and Messaging CoP 11/29/2012. Agenda Agenda review Introduction to the Specimen Cross-Mapping Table (Specimen CMT) – Background – Expected uses –
May 2007 Registration Status Small Group Meeting 1: August 24, 2009.
The Neuroscience information framework A User’s Guide.
caELMIR an Electronic Laboratory Management Information and Retrieval system for pre- clinical experimental data.
Protégé 3.4 Plug-in for Editing and Maintaining the NCI Thesaurus Protégé Conference June 23, 2009 Amsterdam Sherri de Coronado, Gilberto Fragoso.
This tutorial will describe how to navigate the section of Gramene that allows you to view various types of maps (e.g., genetic, physical, or sequence-based)
Metric Studio Cognos 8 BI. Objectives  In this module, we will examine:  Concepts and Overview  An Introduction to Metric Studio  Cognos 8 BI Integration.
Welcome to the caBIG Community! The cancer Biomedical Informatics Grid (caBIG ® ) offers more than 120 open source tools, technologies and infrastructure.
1 LS DAM Overview August 7, 2012 Current Core Team: Ian Fore, D.Phil., NCI CBIIT, Robert Freimuth, Ph.D., Mayo Clinic, Mervi Heiskanen, NCI-CBIIT, Joyce.
CaCORE In Action: An Introduction to caDSR and EVS Browsers for End Users A Tool Demonstration from caBIG™ caCORE (Common Ontologic Representation Environment)
National Cancer Institute caDSR Briefing for Small Scale Harmonication Project Denise Warzel Associate Director, Core Infrastructure caCORE Product Line.
MESA A Simple Microarray Data Management Server. General MESA is a prototype web-based database solution for the massive amounts of initial data generated.
Semantic Interoperability: caCORE and the Cancer Data Standards Repository (caDSR)  Jennifer Brush.
C3PR: An Introduction for Users A Tool Demonstration from caBIG™ Vijaya Chadaram Duke Cancer Center April 29, 2008.
NCI Center for Biomedical Informatics and Information Technology (CBIIT) The CBIIT is the NCI’s strategic and tactical arm for research information management.
Towards a unified MOD resource: An Overview
DataNet Collaboration
18. Transgenic Models.
Using ArrayExpress.
Cancer Images Database (caIMAGE)
Presentation transcript:

caMOD – Cancer Models Database

Cancer models that recapitulate many aspects of the genesis progression clinical course of human cancers are valuable resources to cancer researchers engaged in a variety of basic, translational, clinical, and epidemiological investigations. Preface

Comparison to Humans:Comparison to Humans: SmallSmall Large number of offspringLarge number of offspring Short generation intervalShort generation interval Genetic manipulation (e.g. ES cell technologies)Genetic manipulation (e.g. ES cell technologies) Genetic makeup somewhat similar to humansGenetic makeup somewhat similar to humans Why use Animal Models?

The Ideal Animal Model Faithfully reflect a human disease Etiology Pathology Genetics Cancers only in the tissue of interest 100% incidence 0% incidence in untreated or unmodified animals Short latency

Submission—Data extracted from literature by curators or submitted by scientists. Search– Customizes searches or predefined searches. System Function Administration— User management and review of models. Cancer Models Database ( The cancer models database (caMOD) is a web-based resource that provides information about animal models for human cancer to the public research community

January 2000 Prototype is presented during the Mouse Models of Human Cancers (MMHCC) Steering Committee Meeting MMHCC adopts the Cancer Models Database (caMOD) as one of their initiatives July 2000 NCICB assumes responsibility for caMOD Spring 2001 caMOD 1.0 released (2-tier application) December 2005 caMOD 2.0 released (n-tier application, based on caBIG compliance guidelines) July 2007 caMOD 2.1 achieves Silver compatibility December 2008 caMOD 2.5 released (grid service) September 2009 caMOD 2.5 achieves Silver compatibility June 2010 caMOD released History

6,009 models 5,922 Mouse models 40 Dog models 12 Rat models 10 Rabbit models 8 Zebrafish models 6 Hamster models 5 Horse models 4 Cat models 1 Goat model 1 Sheep model Status (as of August 31, 2010)

The model is the unit of data collection Model Characteristics (e.g. name, phenotype) Genetic Description (transgene, targeted modification, genomic segment, induced mutation, spontaneous mutation) Carcinogenic Interventions (e.g. chemicals, radiation, hormone) Transient Interference (morpholino oligonucleotides, siRNA experiments) Publications Histopathology (e.g. diagnosis, macroscopic and microscopic description) Cell Lines (generated from the model) Therapeutic Approaches (e.g. compound, experiment, result) Images (e.g. image description, staining – stored on image server [caIMAGE]) Microarray Data (link to caArray or other sources) Transplantation Model Availability (from various sources)

Submission

Submission steps The submitter provides an overview on why and how the model was generated on the Model Characteristics page. The parts Genetic Description, Carcinogenic Interventions and Transplantation offer the opportunity to describe in more detail how the model was generated. Other parts describe the results of experiments performed or observations made on this particular strain.

Navigating the submission pages Most parts contain multiple pages Multiple entries per category are possible

double transgenic animal crossed with a knock-out animal, treated with UV-light Genetic Description  Enter Transgene  Transgene 1 Genetic Description  Enter Transgene  Transgene 2 Genetic Description  Enter Targeted Modification  Knock-out Gene Carcinogenic Interventions  Enter Radiation  UV-light Example

Duplication function Deletion of records Features enabling the user to control data

Search

Simple Search Advanced Search Table of Contents (predefined searches) Drug Screening Search (comparison of drug screening experiments in yeast models, xenograft models, genetically engineered models and humans) Different Search Types

Listing of search results Columns are configurable and sortable Search Results List

Search Result Detail Pages

Admin

Review Process

Coordinator - can name screeners and editors - assigns records and comments to screener and editor Screener - initial check of record Editor - scientific reviewer with specific area of expertise Admin – Review of Records

Controlled Vocabularies

All but the Zebrafish vocabularies are stored in the NCI Thesaurus. Murine Tissue Types Mouse Diagnoses Rat Anatomy Rat Diagnoses Human Anatomy Zebrafish Anatomy Zebrafish Developmental Stages Staining Methods The EVSTree shown is a separate application used for rendering vocabularies. Vocabulary Usage

EVS Tree – an Application for rendering Vocabularies

Integration with other Data Sources and Applications

caMOD has been designed, architected and constructed to facilitate interoperability with other systems, following caBIG guidelines. Information Providers to caMOD: caBIO to retrieve gene info and clinical trials info through remote API EVS to provide concept codes and preferred descriptions for concepts through caBIO EVS API PubMED Jackson Laboratory Resources Rat Genome Database ZFIN –Zebrafish Model Database NCI’s Developmental Therapeutics Program caArray to store microarray data caIMAGE server to store images Other sites that store microarray or image data Interoperability

caMOD has been designed, architected and constructed to facilitate interoperability with other systems, following caBIG guidelines. Information Consumers: caMOD provides information to other systems CMAP Websites such as eMice references specific models in caMOD caELMIR caNanoLab (future) CAPR (future) TP53 database at IARC in France ( Interoperability

UML Model 65 Domain objects with over 300 attributes categorized under caMOD::AnimalModel caMOD::CancerModel caMOD::InVivoModel (Xenograft) caMOD::YeastModel EVSTree utilizes LexEVS 5.x caBIO 4.x is used to retrieve additional information about genes and clinical trials

Common Data Elements CDEs for caMOD 2.5 have been loaded into caDSR

Vision To create a cancer preclinical study information resource that will provide structured, searchable access to information about preclinical study protocols and outcomes, linked to detailed information about the animal models used, to related human clinical trials information, and to other molecular, pathology, and compound resources.

Integration of preclinical and clinical data Linking preclinical trials information to model data Linking to clinical trials information / other clinical information Connect to preclinical and clinical information in other applications Enable comparison across model systems (animal model, cell line, yeast, xenograft, human) Curation Curated information from the literature Add MGI data to MTB data Integrate with Cancer Gene Index project Goals

What models have been used in preclinical studies? Which drugs / treatments have been administered? What was the outcome of the experiment? Has the same drug been used in (human) clinical trials? What was the outcome of the clinical trial? Support research questions such as:

See us at our poster Contact Application Support Contact a member of the caMOD Team Juli Klemm Maki Duncan Sima Pandya (Tech Lead) Ulli Wagner Maureen Colbert (Curator) Questions?

Thank you Thank you for your interest in caMOD!