Evidence map›Paper›PMID 28406399›Full record

ArticleeLife2017

Automated deep-phenotyping of the vertebrate brain.

Amin Allalou, Yuelong Wu, Mostafa Ghannad-Rezaie, Peter M Eimon, Mehmet Fatih Yanik

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in eLife, 2017. 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.

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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

5 authors.

Amin AllalouMassachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0003-4028-8443
Yuelong WuMassachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-4417-8236
Mostafa Ghannad-RezaieMassachusetts Institute of Technology, Cambridge, United States.
Peter M EimonMassachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0003-0447-517X
Mehmet Fatih YanikMassachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0002-8963-2893

Funding

Generating transplantable neurons by in vivo combinatorial screening of transcripDP1NS082101 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI YANIK, MEHMET FATIH · 2012 to 2015
$3.2M
Virus Infection Leads to Autoreactive T Cells Having Multiple TCRsR01NS082102 · NINDS · UNIVERSITY OF UTAH · PI FUJINAMI, ROBERT S · 2013 to 2017
$1.6M
NINDS NIH HHS DP1 NS082101NINDS NIH HHS R01 NS082102
6 · The paper itself

Abstract

Here, we describe an automated platform suitable for large-scale deep-phenotyping of zebrafish mutant lines, which uses optical projection tomography to rapidly image brain-specific gene expression patterns in 3D at cellular resolution. Registration algorithms and correlation analysis are then used to compare 3D expression patterns, to automatically detect all statistically significant alterations in mutants, and to map them onto a brain atlas. Automated deep-phenotyping of a mutation in the master transcriptional regulator

Indexed as

PhenotypeAnimalsAutomation, LaboratoryBrainBrain MappingGene Expression ProfilingMutationTomographyZebrafishdeep-phenotypingdevelopmental biologyFezf2glutamatergicneurogenesisneuroscienceoptical tomographystem cellstelencephalonzebrafish

Identifiers

PMID28406399
PMCPMC5441873

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.