Evidence map›Paper›PMID 28099482›Full record

ArticlePloS one2017

A New Statistical Approach to Characterize Chemical-Elicited Behavioral Effects in High-Throughput Studies Using Zebrafish.

Guozhu Zhang, Lisa Truong, Robert L Tanguay, David M Reif

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Rapid behavioral screening in the planarianFrontiers in toxicology · 2026
    Article
  3. Article
  4. Aryl hydrocarbon receptor-dependent toxicity by retene requires metabolic competence.Toxicological sciences : an official journal of the Society of Toxicology · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Exploring the Influence of Experimental Design on Toxicity Outcomes in Zebrafish Embryo Tests.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. A Comparative Multi-System Approach to Characterizing Bioactivity of Commonly Occurring Chemicals.International journal of environmental research and public health · 2022
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

4 authors.

Guozhu ZhangBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.
Lisa TruongDepartment of Environmental and Molecular Toxicology, Sinnhuber Aquatic Research Laboratory, Oregon State University, Corvallis, Oregon, United States of America.
Robert L TanguayDepartment of Environmental and Molecular Toxicology, Sinnhuber Aquatic Research Laboratory, Oregon State University, Corvallis, Oregon, United States of America.
David M ReifBioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID http://orcid.org/0000-0001-7815-6767

Funding

Research Experience and Training Coordination CoreP42ES016465 · NIEHS · OREGON STATE UNIVERSITY · PI Susan C Tilton · 2009 to 2026
$52.5M
STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
Reducing Susceptibility to Environmental Stress Throughout the Life SpanP30ES000210 · NIEHS · OREGON STATE UNIVERSITY · PI BECKMAN, JOSEPH S · 1985 to 2015
$21.4M
Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Andrew R. Binder · 2015 to 2026
$18.3M
GRADUATE TRAINING IN BIOINFORMATICST32ES007329 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Fred A. Wright · 2000 to 2026
$6.8M
In vivo systems level analysis of gene-environment interactionsRC4ES019764 · NIEHS · OREGON STATE UNIVERSITY · PI TANGUAY, ROBYN L · 2010 to 2010
$1.9M
Advancing mechanism-based studies with cross-species chemical-phenotype dataR01ES023788 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MATTINGLY, CAROLYN J. · 2015 to 2019
$1.6M
Generation of a centralized and integrated resource for exposure dataR01ES019604 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI MATTINGLY, CAROLYN J. · 2011 to 2015
$1.3M
Multidimensional in vivo Assessments of Engineered Nanomaterials and Biological InteractionsU01ES027294 · NIEHS · OREGON STATE UNIVERSITY · PI TANGUAY, ROBYN L · 2016 to 2021
$1.2M
NIEHS NIH HHS P30 ES000210NIEHS NIH HHS P30 ES025128NIEHS NIH HHS P42 ES005948NIEHS NIH HHS P42 ES016465NIEHS NIH HHS R01 ES019604NIEHS NIH HHS R01 ES023788NIEHS NIH HHS RC4 ES019764NIEHS NIH HHS T32 ES007329NIEHS NIH HHS U01 ES027294
6 · The paper itself

Abstract

Zebrafish have become an important alternative model for characterizing chemical bioactivity, partly due to the efficiency at which systematic, high-dimensional data can be generated. However, these new data present analytical challenges associated with scale and diversity. We developed a novel, robust statistical approach to characterize chemical-elicited effects in behavioral data from high-throughput screening (HTS) of all 1,060 Toxicity Forecaster (ToxCast™) chemicals across 5 concentrations at 120 hours post-fertilization (hpf). Taking advantage of the immense scale of data for a global view, we show that this new approach reduces bias introduced by extreme values yet allows for diverse response patterns that confound the application of traditional statistics. We have also shown that, as a summary measure of response for local tests of chemical-associated behavioral effects, it achieves a significant reduction in coefficient of variation compared to many traditional statistical modeling methods. This effective increase in signal-to-noise ratio augments statistical power and is observed across experimental periods (light/dark conditions) that display varied distributional response patterns. Finally, we integrated results with data from concomitant developmental endpoint measurements to show that appropriate statistical handling of HTS behavioral data can add important biological context that informs mechanistic hypotheses.

Indexed as

Models, StatisticalAnimalsBiometryHigh-Throughput Screening AssaysZebrafish

Identifiers

PMID28099482
PMCPMC5242475

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.