Evidence map›Paper›PMID 25140222›Full record

ArticleJournal of biomedical semantics2014

Nose to tail, roots to shoots: spatial descriptors for phenotypic diversity in the Biological Spatial Ontology.

Wasila M Dahdul, Hong Cui, Paula M Mabee, Christopher J Mungall, David Osumi-Sutherland, Ramona L Walls, Melissa A Haendel

Abstract read
In one paragraph

Article in Journal of biomedical semantics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed.

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  13. The 'straight mouse': defining anatomical axes in 3D embryo models.Database : the journal of biological databases and curation · 2017
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  14. Article
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  20. OTO: Ontology Term Organizer.BMC bioinformatics · 2015
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Wasila M DahdulDepartment of Biology, University of South Dakota, Vermillion, SD, USA ; National Evolutionary Synthesis Center, Durham, NC, USA.
Hong CuiSchool of Information Resource and Library Science, University of Arizona, Tucson, AZ, USA.
Paula M MabeeDepartment of Biology, University of South Dakota, Vermillion, SD, USA.
Christopher J MungallLawrence Berkeley National Laboratory, Berkeley, CA, USA.
David Osumi-SutherlandDepartment of Genetics, University of Cambridge, Cambridge, UK.
Ramona L WallsThe iPlant Collaborative, Bio5 Institute, University of Arizona, Tucson, AZ, USA.
Melissa A HaendelLibrary and Department of Medical Informatics & Epidemiology, Oregon Health & Science University, Portland, OR, USA.

Funding

The Monarch Initiative: Linking Diseases to Model Organism ResourcesR24OD011883 · OD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAENDEL, MELISSA A, MUNGALL, CHRISTOPHER J · 2012 to 2024
$16.0M
NIH HHS R24 OD011883
6 · The paper itself

Abstract

backgroundSpatial terminology is used in anatomy to indicate precise, relative positions of structures in an organism. While these terms are often standardized within specific fields of biology, they can differ dramatically across taxa. Such differences in usage can impair our ability to unambiguously refer to anatomical position when comparing anatomy or phenotypes across species. We developed the Biological Spatial Ontology (BSPO) to standardize the description of spatial and topological relationships across taxa to enable the discovery of comparable phenotypes.

resultsBSPO currently contains 146 classes and 58 relations representing anatomical axes, gradients, regions, planes, sides, and surfaces. These concepts can be used at multiple biological scales and in a diversity of taxa, including plants, animals and fungi. The BSPO is used to provide a source of anatomical location descriptors for logically defining anatomical entity classes in anatomy ontologies. Spatial reasoning is further enhanced in anatomy ontologies by integrating spatial relations such as dorsal_to into class descriptions (e.g., 'dorsolateral placode' dorsal_to some 'epibranchial placode').

conclusionsThe BSPO is currently used by projects that require standardized anatomical descriptors for phenotype annotation and ontology integration across a diversity of taxa. Anatomical location classes are also useful for describing phenotypic differences, such as morphological variation in position of structures resulting from evolution within and across species.

Indexed as

AnatomyAxesBSPOOntologyPhenotypePositionReasoningSpatial relationships

Identifiers

PMID25140222
PMCPMC4137724

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.