ImmPort Ontology Conference
Where: Paul Berg Hall A #230, Li Ka Shing Center for Learning and Knowledge, 291 Campus Drive West, Stanford School of Medicine, Stanford, CA 94305.
When: September 4-5, 2013
Audience
- Day 1 is intended for all those engaged in information-driven immunology research who have an interest in the work of ImmPort and/or in ontology and data standardization
- Day 2 (by invitation only) is intended primarily for those interested in CyTOF and related issues of data management in immunological science.
Background resources
- An overview of ontologies proposed by ImmPort for use across the immunology research community is provided here
If you are interested in attending please contact Barry Smith as soon as possible.
Wednesday, September 4, 2013
Schedule
- 8:30 Registration and Continental Breakfast
- 9:00 Barry Smith (Buffalo): Overview of ImmPort Ontologies
- 9:30 Jeff Wiser (Northrop Grumman): Discussion on the Role of Ontologies in ImmPort
- 10:00 Garry Nolan (Stanford): Goals for CyTOF
- 11:00 Break
- 11:15 Alex Diehl and Alan Ruttenberg (Buffalo): PRO, CL and CyTOF
- 12:00 Lunch
- 13:00 Holden Maecker (Stanford):Flow Cytometry Standardization and the Problem of Cell Typing
- 14:00 Melanie Courtot and Ryan Brinkman (Vancouver): The Cytometry-Ontology Framework
- 15:15 Break
- 15:30 Shai Shen-Orr (Tel Aviv): Ontology, NLP and the Semantic Enhancement of Immunology Research Literature
- 16:30 Lindsay Cowell (Southwestern Medical Center): Immunology Ontology and NLP
Thursday, September 5, 2013
Schedule (Tentative)
- 8:30 Continental Breakfast
- 9:00 Nikesh Kotecha (Stanford / Cytobank): Software Challenges for Cytometry
- 9:30 Yannick Pouliot, Alex Diehl, Barry Smith: Symposium on the Cell Ontology
- Cell types, cell stages, cell populations and CL terms.
- 10:30 Break
- 11:00 Alan Ruttenberg (Buffalo / ImmPort): Ontology for Biomedical Investigations (OBI) and the Representation of Cell Assays
- 12:00 Lunch
- 13:00 Consequences for the Future of Immunological Science
Major Questions for Discussion
1. Evaluation of the cell type definitions proposed in Maecker et al. (if possible do this prior to the meeting)
2. What should be the framework by which we can represent cell populations identified through given sorts of assays in such a way that we can later promote them to cell types recognized in the CL?
3. How do we determine what is really a new cell type rather than either a refinement of an existing cell type generated by additional markers, or (2) a transient activation state of some known cell type?
- Subtasks:
- Ontological Background
- a. explain the difference between continuant and occurrent
- b. summarize how this difference is handled in other ontologies (especially GO)
- c. list a set of properties that distinguish a cell type (continuant) from a transient state type (occurrent)
- Metadata
- What metadata need to be captured in order to enable the downstream determination that a cell population identified by some assay is in fact either (a) a bona fide cell type that should be included in CL, or (b) a bona fide cell state type?
- Proposed:
- a. composition of the antigen panel
- b. antibodies used to probe each antigen (expressed as ImmPort Antibody Registry ID)
- c. the type of flow experiment: traditional, phosphoflow, CyTOF
- d. unique experiment ID
- e. species of the cells being probed (NCBI Taxonomy ID)
- f. type of sample (whole blood, PBCs)
- g. combination of markers that define a cell type according to the experimenter
- h. clinical status of subjects (affected, unaffected; vaccinated/unvaccinated)
- i. interventions (e.g., which arm of a trial the subject belongs to)
(At least in the short-run, it is anticipated that these data will be obtained from ImmPort's store of flow data.)
More ambitious questions for discussion if time allows:
3. Can we leverage CyTOF to develop a true step-by-step picture of hematopoiesis? This is a question for both ontology and the experimental approach.
4. What surface markers or internal proteins have reliable associations with biological processes, such that when we see a novel cell type or a variant of a known cell type we can predict the cell's function or (in other words the GO:Biological Processes it is capable of carrying out or participating in)? This question can obviously leverage existing GO annotations for particular proteins, some of which already have co-annotation with CL terms. But it can also lead to new terms for GO:Biological Processes and for CL cell types.
Participants
- Sanchita Bhattacharya (ImmPort / Stanford)
- Ryan Brinkman (Vancouver, BC)
- Atul Butte (ImmPort / Stanford)
- Quan Chen (NIH / NIAID)
- Lindsay Cowell (UT Southwestern, Dallas)
- Melanie Courtot (Vancouver, BC)
- Alexander Diehl (ImmPort / Buffalo)
- Sanda Harabagiu (UT Southwestern, Dallas)
- Nikesh Kotecha (Stanford)
- Suzanna Lewis (Berkeley)
- Holden Maecker (Stanford)
- Chris Mungall (Berkeley)
- Garry Nolan (Stanford)
- Yannick Pouliot (ImmPort / Stanford)
- Alan Ruttenberg (ImmPort / Buffalo)
- Nikolay Samusik (Stanford)
- Ravi Shankar (ImmPort / Stanford)
- Shai Shen-Orr (ImmPort / Technion Institute)
- Barry Smith (ImmPort / Buffalo)
- Nicole Vassilesky (OHSU, Oregon)
- Jeff Wiser (ImmPort / Northrop Grumman)
- Ashley Xia (NIH / NIAID)
Plus further participants from Stanford area.
