Evidence map›Paper›PMID 18974798›Full record

ArticleFrontiers in neuroinformatics2007

A formal ontology of subcellular neuroanatomy.

Stephen D Larson, Lisa L Fong, Amarnath Gupta, Christopher Condit, William J Bug, Maryann E Martone

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Bioimage informatics: a new area of engineering biology.Bioinformatics (Oxford, England) · 2008
    Review
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Stephen D LarsonNational Center for Microscopy and Imaging Research, University of California USA.
Lisa L Fong
Amarnath Gupta
Christopher Condit
William J Bug
Maryann E Martone

Funding

VISUALIZATION TOOLS FOR AUTOMATED MOLECULAR MICROSCOPYP41RR008605 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAPADOPOULOS, PHILIP · 1994 to 2011
$28.1M
VOLUMETRIC CONTOUR-BASED SURFACE RECONSTRUCTIONP41RR004050 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PASQUALE, ELENA B · 1989 to 2011
$28.0M
MOUSE BIRNU24RR021760 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI TOGA, ARTHUR W · 2005 to 2009
$11.6M
A Resource for Biomedical Ontologies and Knowledge BasesP41LM007885 · NLM · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2003 to 2010
$6.4M
DEVELOPMENT OF A 3-D CELL-CENTERED NEURONAL DATABASER01DA016602 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTONE, MARYANN E · 2003 to 2007
$3.4M
Ontology-based multiscale investigation of human neurological disease modelsR01NS058296 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTONE, MARYANN E · 2007 to 2010
$2.1M
NCRR NIH HHS P41 RR004050NCRR NIH HHS P41 RR008605NCRR NIH HHS U24 RR021760NIDA NIH HHS R01 DA016602NINDS NIH HHS R01 NS058296NLM NIH HHS P41 LM007885
6 · The paper itself

Abstract

The complexity of the nervous system requires high-resolution microscopy to resolve the detailed 3D structure of nerve cells and supracellular domains. The analysis of such imaging data to extract cellular surfaces and cell components often requires the combination of expert human knowledge with carefully engineered software tools. In an effort to make better tools to assist humans in this endeavor, create a more accessible and permanent record of their data, and to aid the process of constructing complex and detailed computational models, we have created a core of formalized knowledge about the structure of the nervous system and have integrated that core into several software applications. In this paper, we describe the structure and content of a formal ontology whose scope is the subcellular anatomy of the nervous system (SAO), covering nerve cells, their parts, and interactions between these parts. Many applications of this ontology to image annotation, content-based retrieval of structural data, and integration of shared data across scales and researchers are also described.

Indexed as

data integrationelectron microscopyneuroanatomyneuronal cell typessubcellular anatomy

Identifiers

PMID18974798
PMCPMC2525993

What OpenQuestion holds

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Registered trials

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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.