Evidence map›Paper›PMID 19698790›Full record

ArticleMethods (San Diego, Calif.)2010

Automated pipeline for atlas-based annotation of gene expression patterns: application to postnatal day 7 mouse brain.

James Carson, Tao Ju, Musodiq Bello, Christina Thaller, Joe Warren, Ioannis A Kakadiaris, Wah Chiu, Gregor Eichele

Abstract read
In one paragraph

Article in Methods (San Diego, Calif.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A chicken embryo cardiac outflow tract atlas for registering changes due to abnormal blood flow.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2016
    Article
  5. Article
  6. Similarity-based appearance-prior for fitting a subdivision mesh in gene expression images.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2012
    Article
  7. Markov Random Field-based Fitting of a Subdivision-based Geometric Atlas.Proceedings. IEEE International Conference on Computer Vision · 2011
    Article
  8. Landmark/Image-based Deformable Registration of Gene Expression Data.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2011
    Article
  9. Article
  10. Lossless 3-D reconstruction and registration of semi-quantitative gene expression data in the mouse brain.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2011
    Article
  11. 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

8 authors.

James CarsonBiological Monitoring and Modeling Group, Pacific Northwest National Laboratory, Richland, WA, USA.
Tao Ju
Musodiq Bello
Christina Thaller
Joe Warren
Ioannis A Kakadiaris
Wah Chiu
Gregor Eichele

Funding

An Interactive Volumetric Atlas of the Mouse BrainR21NS058553 · NINDS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI CARSON, JAMES PAUL · 2009 to 2010
$391k
NINDS NIH HHS 1R21NS058553-01NINDS NIH HHS R21 NS058553
6 · The paper itself

Abstract

Massive amounts of image data have been collected and continue to be generated for representing cellular gene expression throughout the mouse brain. Critical to exploiting this key effort of the post-genomic era is the ability to place these data into a common spatial reference that enables rapid interactive queries, analysis, data sharing, and visualization. In this paper, we present a set of automated protocols for generating and annotating gene expression patterns suitable for the establishment of a database. The steps include imaging tissue slices, detecting cellular gene expression levels, spatial registration with an atlas, and textual annotation. Using high-throughput in situ hybridization to generate serial sets of tissues displaying gene expression, this process was applied toward the establishment of a database representing over 200 genes in the postnatal day 7 mouse brain. These data using this protocol are now well-suited for interactive comparisons, analysis, queries, and visualization.

Indexed as

Gene Expression RegulationAnimalsAutomationBrainBrain MappingCluster AnalysisComputational BiologyComputer GraphicsData Interpretation, StatisticalGene Expression ProfilingHumansIn Situ HybridizationMiceModels, StatisticalMultigene Family

Identifiers

PMID19698790
PMCPMC2818703

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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.