Immunology Ontologies and Their Applications in Processing Clinical Data

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The National Center for Biomedical Ontology (NCBO) in collaboration with the Protein Ontology (PRO) and the Infectious Disease Ontology (IDO) will host a three-day dissemination workshop in Buffalo, NY on June 11-13, 2012.

Day 1 will provide a survey of current ontology-based research in immunology and infectious disease with a view to future coordination among ontology developers and users in this field.
Day 2 will be focused on flow cytometry.
Day 3 will include a session devoted to the use of ontologies to assist clinicians working with infectious disease data, followed by a session on the Ontology for General Medical Science.

Goals

Provisional goals of the meeting are:

To identify and coordinate activities on-going in immunology ontology and related fields, with special attention to the use of ontologies to support clinical data analysis in flow cytometry and other fields.

Registration

This meeting is free for registered participants. Space is limited and those interested in participating should contact Barry Smith as soon as possible.


Draft Schedule

Day 1: Monday, June 11, 2012: 9:00am-5:00pm

An Overview of Ontologies to Support Research in Immunology and Infectious Disease

Morning: The Gene Ontology, Reactome, The Immunology Ontology, The Immune Epitope Ontology and the Allergy Ontology

Alexander Diehl (University at Buffalo) and Richard Scheuermann (University of Texas Southwestern Medical Center)
Gene Ontology and Immune System Processes
Anna Maria Masci (Duke University)
The Immunology Ontology (with special focus on the liver)
Peter d'Eustacho (New York University)
Immune Pathway Representations in Reactome
Bjoern Peters (University of California at San Diego)
Representation of immunology experiments using OBI
Representing epitope mapping experiments for the Immune Epitope Database (IEDB)
Alexander C. Yu (University at Buffalo)
The Allergy Ontology
Lunchtime talk: Atul Butte (Stanford): Discovery of a novel inflammatory receptor and related drug for type 2 diabetes from integration of publicly-available microarray data

Afternoon: The Infectious Disease Ontology (IDO) and Its Extensions

Lindsay Cowell (University of Texas Southwestern Medical Center)
Update on IDO-Core
simplified definitions; new approach to MIREOTing; new terms/definitions/relations; a template for creating an IDO Extension
Albert Goldfain (Blue Highway)
Staph Aureus (Sa) IDO
Richard Scheuermann (Dallas)
IDO Flu (Influenza Ontology)
Yu Lin (University of Michigan)
IDO Bru (Brucellosis Ontology)

Day 2: Tuesday, June 12, 2012: 9:00am-5:00pm

Ontologies and Flow Cytometry Informatics

Background Increasingly, flow cytometry is being employed in clinical laboratories for the diagnosis, prognosis and monitoring of disease. The advent of highly multidimensional flow cytometry and automated gating algorithms for the analysis of flow cytometry data, coupled with the rise of personalized medicine, are poised to expand greatly the need for a reliable, structured framework for the representation of the types of cells present in human blood and tissues. We are currently enhancing the representation of hematopoietic and other cell types in the Cell Ontology (CL) to allow for the logical definition of cell types based on cellular attributes, and in doing so we rely on relations to terms of the Protein Ontology (PRO) as a key component of these definitions. The goal of today's session is explore how the use of clinical flow cytometry data can serve as a driver of ontology development in both the PRO and the CL by assessing current standard clinical assays and recent approaches based on automated gating of multidimensional flow cytometry.
Examples of questions to be addressed include:
Which protein isoforms and post-translationally modified forms identified by flow cytometry typing reagents need to be represented in the PRO to enable cell types defined in their terms to be represented in the CL?
How can use of the PRO and CL ontologies will promote standardization in interpretation and integration of clinical flow cytometry data?

Morning: Flow cytometry typing of normal and malignant cell types

Cathy Wu (Delaware), Darren Natale (Georgetown) and Alexander Diehl (Buffalo)
The Protein Ontology and Cell Type Definitions
Alexander Diehl (Buffalo)
Overview of Hematopoietic Cell Types in the Cell Ontology
An Ontological Treatment of Protein Marker Expression on Multiple Myeloma Subtypes
Representative of Euroflow Consortium (to be identified): Overview of Euroflow Typing Panels
Representation of cells used in experiments such as: PBMCs, splenocytes, adherent cells
(TBD): Clinical Flow Cytometry in HIV
Discussion of the ontological treatment of typing panels.

Afternoon: Automated gating of Flow Cytometry results and linking to the Cell Ontology

Ryan Brinkman (Vancouver):
1. Overview of the representation of flow cytometry assays in OBI
2. Overview of flowMeans and flowCAP
Richard Scheuermann (Dallas): Connecting results from automated FCM analysis systems with the Cell Ontology
Cliburn Chan (Duke): Flow Cytometry Analysis System
Topics to be discussed will include:
Methods to automatically link flow cytometry results to cell type identification.

Day 3: Wednesday, June 13, 2012:9:00am-6:00pm

The Role of Ontologies in Clinical Medicine

9am-noon: Next Steps in Protein Ontology Flow Cytometry Driving Biological Project

TBD

noon-3pm SESSION OPEN TO THE PUBLIC: Practical Applications of Ontologies in Clinical Research (includes lunch)

Albert Goldfain (Blue Highway / Syracuse)
Creating Personalized Infectious Disease Ontologies
Alan Ruttenberg (Buffalo)
The Protein Ontology and the treatment of protein isoforms, mutations, and aggregates of relevance to Alzheimer's Disease
TBD
The HIV Ontology

3pm-6pm: Working Session on the Ontology for General Medical Science (OGMS)

Moderator: Albert Goldfain (Blue Highway / Syracuse)
Topics to be treated will include:
An update on OGMS
Relations in OGMS
Close: 6:00pm




Relevant ontology efforts

GO-IP Gene Ontology -- Immunological Process (Alex Diehl)
CL Cell ontology immune branches (e.g. for dendritic cells)
PRO Protein Ontology
IO Immunology Ontology (Lindsay Cowell and Alex Diehl)
IEO Immune Epitope Ontology (Bjoern Peters)
MHC Major Histocompatibility Complex Ontology (Bjoern Peters)
OGMS Ontology for General Medical Science (Albert Goldfain)
IDO Infectious Disease Ontology (Lindsay Cowell)
Vaccine Ontology (Oliver He)
AO Allergy Ontology (Alex C. Yu)
ND Neurological Disease Ontology (Alex Diehl)

Participants will include

Ryan Brinkman (University of British Columbia, June 11-12)
Atul Butte (Stanford University)
Cliburn Chan (Duke University, June 11-12)
Lindsay Cowell (University of Texas Southwestern Medical Center)
Paresh Dandona (Diabetes and Endocrinology Center of Western New York / University at Buffalo)
Peter d'Eustachio (New York University)
Alex Diehl (University at Buffalo)
Albert Goldfain (University at Buffalo, Syracuse University and Blue Highway, Inc.)
Oliver He (University of Michigan)
Yu Lin (University of Michigan)
Anna Maria Masci (Duke University)
Darren Natale (Georgetown University)
Dave Parrish (Digital Infuzion)
Bjoern Peters, (University of California at San Diego)
Alan Ruttenberg (University at Buffalo)
Richard Scheuermann (University of Texas Southwestern Medical Center)
Stanley A. Schwartz (University at Buffalo)
Barry Smith (University at Buffalo)
Cathy Wu (University of Delaware, Georgetown University)
Alex C. Yu (University at Buffalo)