Representing Part Relationships Between Developing Structures.

Slides:



Advertisements
Similar presentations
Documenting Database Designs with Entity- Relationship Diagrams IS 460 Notes by Thomas Hilton.
Advertisements

Bridging GO, Uberon and multiple species specific anatomy ontologies.
More than one way to dissect an animal Melissa Haendel ZFIN Scientific Curator.
+ OWL for annotators David Osumi-Sutherland. + What is OWL? Web Ontology Language Can express everything in OBO and more. Certified web standard Fast.
Linking ontologies to one another and to the Cell Ontology with the COBrA ontology editor Jonathan Bard & Stuart Aitken Biomedical Science & Informatics.
Anatomical boundaries and immaterial objects Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany)
Rein et al., 2002 Current Biology The mushroom bodies (MBs) in the adult Drosophila brain.
Classification of developing structures Developing structures are typically classified by developmental biologists according to their fate. If such terms.
The reproductive system allows the production of offspring.
+ From OBO to OWL and back again – a tutorial David Osumi-Sutherland, Virtual Fly Brain/FlyBase Chris Mungall – GO/LBL.
Application of OBO Foundry Principles in GO Chris Mungall Lawrence Berkeley Labs NCBO GO Consortium.
1 An Ontology of Relations for Biomedical Informatics Barry Smith 10 January 2005.
Philosophy of Science Psychology is the science of behavior. Science is the study of alternative explanations. We need to understand the concept of an.
The Role of Foundational Relations in the Alignment of Biomedical Ontologies Barry Smith and Cornelius Rosse.
1 Ontology in 15 Minutes Barry Smith. 2 Main obstacle to integrating genetic and EHR data No facility for dealing with time and instances (particulars)
Entity Relationship Diagrams Basic Elements and Rules.
Chapter 14 (Web): Object-Oriented Data Modeling
1 Logical Tools and Theories in Contemporary Bioinformatics Barry Smith
Phenotype annotation using ontologies Chris Mungall (+ BS) Berkeley Bioinformatics and Ontologies Project (BBOP) National Center for Biomedical Ontology.
16 Days and 16 Fallacies II The Metaphysics of Human Origins.
Entity Relationship Diagrams
1 The OBO Relation Ontology Genome Biology 2005, 6:R46 based on the fundamental distinction between instances and universals takes instances and time into.
POC tutorial #2: Ontology Development This tutorial will run automatically in Quicktime. To run the tutorial at your own pace use the internal controllers.
May 30, 2005BIONLP Lexical Issues in Anatomical Ontologies Sarah Luger based on work with Stuart Aitken and Bonnie Webber.
Chapter 14: Object-Oriented Data Modeling
Copyright 2002 Prentice-Hall, Inc. Modern Systems Analysis and Design Third Edition Jeffrey A. Hoffer Joey F. George Joseph S. Valacich Chapter 10 Structuring.
Computer System Analysis Chapter 10 Structuring System Requirements: Conceptual Data Modeling Dr. Sana’a Wafa Al-Sayegh 1 st quadmaster University of Palestine.
Animal Physiology and Development Insects – 4 JCS Lecture Outcome: By the end of this lecture student should have: a)Become aware of the role of the imaginal.
Representing Development David Osumi-Sutherland – FlyBase Fabian Neuhaus - National Institute of Standards and Technology.
Standardization of Anatomy Parts and Wholes – From Function to Location Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany)
Gene Expression Databases: Where and When Dave Clements EuReGene and Mouse Atlas projects Medical Research Council Human Genetics.
GO and OBO: an introduction. Jane Lomax EMBL-EBI What is the Gene Ontology? What is OBO? OBO-Edit demo & practical What is the Gene Ontology? What is.
An (OBO) ontology is NOT a model of language, it is a model of reality. Words are ambiguous – especially in isolation. Take the word 'wing' what type of.
Ontology and Phylogeny: Ontologies as research tools linking phylogenies, systematics, phenotypes, and genomics Brent D. Mishler University of California,
Open Biomedical Ontologies. Open Biomedical Ontologies (OBO) An umbrella project for grouping different ontologies in biological/medical field –a repository.
Cell Ontology 2.0 Elimination of multiple is_a inheritance through instantiation of relationships to terms in outside ontologies, such as the GO cellular.
1 5 Normalization. 2 5 Database Design Give some body of data to be represented in a database, how do we decide on a suitable logical structure for that.
(Spring 2015) Instructor: Craig Duckett Lecture 10: Tuesday, May 12, 2015 Mere Mortals Chap. 7 Summary, Team Work Time 1.
Ontological Foundations of Biological Continuants Stefan Schulz, Udo Hahn Text Knowledge Engineering Lab University of Jena (Germany) Department of Medical.
Proposed formal definition of a stage A part of the lifetime event of an entity –Lifetime event of a cell (e.g. cell cycle) –Lifetime event of an organism.
1 Gene function annotation. 2 Outline  Functional annotation  Controlled vocabularies  Functional annotation at TAIR  Resources and tools at TAIR.
The Plant Ontology: Development of a Reference Ontology for all Plants Plant Ontology Consortium Members and Curators*: Laurel D.
Warm Up Use the following words in 2-3 sentences to demonstrate what you remember about Mitosis: division, chromosomes, copying, cells, PMAT.
B2 – Biology Inheritance Mr. P. Collins. B2.8 Inheritance - AIMS to explain why Mendel proposed the idea of separately inherited factors and why the importance.
Let’s Review! Mitosis is: When a cell makes a copy of itself for: growth repair replacement.
Expanding species-specific anatomy ontologies to include the cell ontology Melissa Haendel (1), Ceri Van Slyke (1), Chris Mungall (2), Peiran Song (1),
Cell Ontology Meeting, Jackson Labs May 2010 David Osumi-Sutherland.
+ From OBO to OWL and back again – a tutorial David Osumi-Sutherland, Virtual Fly Brain/FlyBase Chris Mungall – GO/LBL.
Indicators to Measure Violence Against Women Sylvia Walby Lancaster University, UK
Copyright 2002 Prentice-Hall, Inc. Modern Systems Analysis and Design Third Edition Jeffrey A. Hoffer Joey F. George Joseph S. Valacich Chapter 10 Structuring.
 The process of growth and development within the womb, in which a single-cell zygote (the cell formed by the combination of a sperm and an egg) becomes.
Ontology III Cristian Cocos (CLIStFX). Recap What Why (interoperability, “Tower of Babel,” the problem of “human idiosyncrasy”) Upper-Level Ontology,
Cell Division (Continued) – Meiosis Chromosomes are DNA! Chromosomes contain genetic information.
Chapter 10 Structuring System Requirements: Conceptual Data Modeling
6.1 Chromosomes and Meiosis
Cell Division – Meiosis
Microsoft Office Access 2010 Lab 2
(Winter 2017) Instructor: Craig Duckett
Outline Motivation: data mining Ontologies and all-some relationships
Development of the Amphibian Anatomical Ontology
The formation of Sex Cells!
Ontology in 15 Minutes Barry Smith.
You have body cells and gametes.
Chapter 10 Structuring System Requirements: Conceptual Data Modeling
Ontology in 15 Minutes Barry Smith.
Gender INTRODUCTION.
Heterochronic Genes and the Nature of Developmental Time
Chapter 10 Structuring System Requirements: Conceptual Data Modeling
Volume 86, Issue 3, Pages (August 1996)
Lecture 10 Structuring System Requirements: Conceptual Data Modeling
Presentation transcript:

Representing Part Relationships Between Developing Structures

Anatomy Ontologies – a MOD prespective.

What literature curators need 1.The ability to query the ontology to home in on candidate terms based on limited available information. Useful queries for this: give me a list of all the types of X that are part of Y. find where structures referred to by candidate terms are located. 2. A way to curate even when the available anatomical data is vague.

What database users need The ability to precisely extract biologically relevant information from an ontology – rather than navigating some convoluted DAG E.g.- for any term X Locate X, what is X, what subtypes does X have What parts does X have Curations grouped accurately according to type and part relationships.

Argument for making all part relationships into integral_part

Cardinality Anatomy Ontology terms can be classed according to the number of structures per whole organism (C). 1. Many per org (C>1) – bristle, scale or neuron - always possibility of further subdivision – e.g.- neuron % motor neuron % ventral tp motor neuron 2. Fixed/known number per org: e.g.- limbs or (perhaps) segments (C>1) 3. One per organism (C=1) – adult head 4. Less than one per organism - sexually dimorphic structures (C=0.5)

The 2 flavours of part relationships*: X part_of Y: All instances of X are part of some instance of Y. (symbol: <) Obligatory (?) Y has_part X: All instances of Y have some instance(s) of X as a part. (symbol: >) When both of these conditions are satisfied, the relationship is known as integral_part. (symbol: <>) * For the sake of simplicity, these definitions avoid time/stage. These will be dealt with later.

If we were only using part_of (<) then this is legal: leg % male prothoracic leg < sex comb < claw With integral_part (<>), we are restricted to this: leg % male prothoracic leg <> sex comb <> claw (% = is_a) Deductions : All legs have a claw as a part. Prothoracic leg is_a leg.  Prothoracic legs have a claw Sex comb part_of leg Example: sex comb only on male prothoracic leg; all legs have claws

How literature curation works Curation of expression or phenotype with any term X can mean: expressed/having phenotype in all types of X OR expressed/having phenotype in some unspecified subset of X (X is the most precise term we can curate to, given the evidence presented in the paper being curated)

Grouping – the need for has_part FOR : Gene 1 - expressed in X (subset) Gene 2 - expressed in Y If the only known part relationship between X and Y is: Y part_of X It is not safe to group these two curations - we don't know whether the curation to X was made because of expression in a type of X that has a Y as a part. X has_part Y Then these two curations can be safely grouped - all types of X have a Y as a part.

Representing sexual dimorphism organism <> gonad % testis % ovary % male organism <> testis % female organism <> ovary <> head <>brain

Part relationships during development

Types of Developing Structure anlage Contiguous tissue defined by lineage labelling as contributing all or the majority of its cells to some specified mature structure but not (yet) having distinct morphological boundaries. primordium Contiguous tissue defined by lineage labelling as contributing all of its cells to one or a few specified mature structures and having morphologically distinct boundaries germ layer Primary division of embryo established just prior to &/or during gastrulation. Initially constituting a contiguous tissue contributing all of its cells a large but limited set of mature structures. compartment Contiguous tissue defined by lineage labelling as consisting of cells unable to cross a *compartment boundary* to mix with cells in a neighbouring tissue with which it is contiguous during development.

Types of Developing Structure These terms group multiple primordia and anlage over the complete development of the system, part or organ. Developing system (e.g.- developing nervous system) Developing (cardinal) body part – e.g.- developing head Developing organ (e.g.- developing brain)

Relationships linking stage to anatomy Ts= stage n: starts during or after stage n Te= stage n: ends during or before stage n e.g. central brain primordium; ts=6 te=8 Note: These definitions allow for cases where the transition between sub- types of a term occur spread out over multiple stages.

Identity and development We need some concept of identity for continuants (biological structures existing over time) that can account for changes composition over time (X can have diff parts at diff stages). Ideally, shifts in identity during development, e.g.- neuroblast -> neuron, will be based on intrinsic criteria. This could be morphological (e.g.- having an axon), or perhaps (?) functional (heart starts pumping).

Intrinsic identity and part_of developing nervous system ; ts=4 te=16 < neuron X ; ts=13 te=16 ~ neuron X’ ts=16 … < neuron Y ts=14 te=16 ~ larval nervous system ts=16 … < neuron X’ ts=16 … Reasoning: Part_of : all neuron X are part_of (some) developing nervous system  - all neuron X after the stage that developing nervous system is considered mature have to get a new name - identity is being ascribed extrinsically.

Defining has_part for developing structures This definition cannot be used for part relationships between a developing stucture and parts it instantiates at different stages: For Y has_part X: All instances of Y at all times (stages), have some instance(s) of X as a part

Part relationships during development developing central nervous system; ts=3 te=16 <> developing brain; ts=3 te=16 <> central brain anlage; ts=5 te=5 ~ central brain primordium; ts=6 te=8 <> central brain primordium; ts=6 te=8 Is there some definition of has_part that is still useful for grouping curations and for reasoning, but that can be used here?

Possible alternative def for has_part For Y has_part X: All instances of X have some instance of Y as a part during the stages that Y exists. e.g. - <> developing brain; ts=3 te=16 <> central brain anlage; ts=5 te=5 ~ central brain primordium; ts=6 te=8 <> central brain primordium; ts=6 te=8 Tells us that developing brain has central brain anlage as a part during stage 5 and central brain primordium as a part during stages 6-8 ie- given the stage, we can list reliably list parts

Poss solution to all – seemed like a good idea in the pub last night. Term X ts=4 te=8 <> Term Y ts=6 te =10 Y part_of X during the stages that both X and Y exist: In this case stages 6-8 X has_part Y during the stages that both X and Y exist: In this case stages 6-8

develops_from As long as part of the definition of ‘B develops_from A’ includes: A and B abut in time: there is no instance that is both A and B simultaneously. Then we can use overlap between stages to specify a range during which a transition occurs. Or, if A(Te) and B(Ts) are adjacent stages – we can tie the transition to a stage boundary.

Tying develops_from transition to stage term X te=n ~ term Y ts=n+1 (note ts>n+1 would not be legal) Implies that the transition from X to Y occurs at the stage transition. term X te=n ~ term Y ts <=n Implies that the transition from X to Y occurs at some point during the overlap in stages between X and Y.

Using cardinality in part reasoning developing central nervous system C=1 ts=3 te=16 < developing brain C=1 ts=3 te=16 < central brain anlage ts=5 te=5 C=1 ~ central brain primordium ts=6 te=8 C=1 < central brain primordium ts=6 te=8 C=1 All central brain anlage are part_of some developing brain. But in any one organism there is only 1 central brain anlage and one developing brain. So developing brain must have central brain anlage as a part during the stages that central brain anlage exists.