Evidence map›Paper›PMID 33570495›Full record

ArticleeLife2021

Constructing and optimizing 3D atlases from 2D data with application to the developing mouse brain.

David M Young, Siavash Fazel Darbandi, Grace Schwartz, Zachary Bonzell, Deniz Yuruk, Mai Nojima, Laurent C Gole, John Lr Rubenstein, Weimiao Yu, Stephan J Sanders

Abstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  10. Review
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  14. Developmental Mouse Brain Common Coordinate Framework.bioRxiv : the preprint server for biology · 2023
    Article
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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

10 authors.

David M YoungDepartment of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, United States.ORCID 0000-0003-3303-2001
Siavash Fazel DarbandiDepartment of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, United States.
Grace SchwartzDepartment of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, United States.
Zachary BonzellDepartment of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, United States.
Deniz YurukDepartment of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, United States.
Mai NojimaDepartment of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, United States.
Laurent C GoleInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore.
John Lr RubensteinDepartment of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, United States.ORCID 0000-0002-4414-7667
Weimiao YuInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, Singapore.
Stephan J SandersDepartment of Psychiatry and Behavioral Sciences, UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, United States.ORCID 0000-0001-9112-5148

Funding

Genetic Studies of Cortex Structure and DevelopmentR01NS099099 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RUBENSTEIN, JOHN L. R. · 2016 to 2025
$6.4M
2/2 - Identification and Validation of Expression Quantitative Trait Loci (eQTLs) in discrete cell types across human brain developmentU01MH122681 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SANDERS, STEPHAN · 2021 to 2022
$1.2M
1/3 Multidimensional investigation of the etiology of autism spectrum disorderR01MH109901 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SANDERS, STEPHAN, STATE, MATTHEW W. · 2016 to 2018
$678k
NIMH NIH HHS R01 MH109901NIMH NIH HHS U01 MH122681NINDS NIH HHS R01 NS099099
6 · The paper itself

Abstract

3D imaging data necessitate 3D reference atlases for accurate quantitative interpretation. Existing computational methods to generate 3D atlases from 2D-derived atlases result in extensive artifacts, while manual curation approaches are labor-intensive. We present a computational approach for 3D atlas construction that substantially reduces artifacts by identifying anatomical boundaries in the underlying imaging data and using these to guide 3D transformation. Anatomical boundaries also allow extension of atlases to complete edge regions. Applying these methods to the eight developmental stages in the Allen Developing Mouse Brain Atlas (ADMBA) led to more comprehensive and accurate atlases. We generated imaging data from 15 whole mouse brains to validate atlas performance and observed qualitative and quantitative improvement (37% greater alignment between atlas and anatomical boundaries). We provide the pipeline as the MagellanMapper software and the eight 3D reconstructed ADMBA atlases. These resources facilitate whole-organ quantitative analysis between samples and across development.

Indexed as

AnimalsBrainFemaleImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMice3D atlascomputational biologydevelopmental biologyimage processingmousemouse developmentneuroanatomyneurodevelopmentsystems biologytissue clearing

Identifiers

PMID33570495
PMCPMC7994002

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.