Evidence map›Paper›PMID 30872602›Full record

ArticleScientific reports2019

High-throughput screening and classification of chemicals and their effects on neuronal gene expression using RASL-seq.

Jeremy M Simon, Smita R Paranjape, Justin M Wolter, Gabriela Salazar, Mark J Zylka

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
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  4. Article
  5. Frontiers in pharmacology · 2023
    Article
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  10. Review
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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.

Jeremy M SimonDepartment of Cell Biology and Physiology, UNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.ORCID 0000-0003-3906-1663
Smita R ParanjapeDepartment of Cell Biology and Physiology, UNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Justin M WolterDepartment of Cell Biology and Physiology, UNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Gabriela SalazarDepartment of Cell Biology and Physiology, UNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.
Mark J ZylkaDepartment of Cell Biology and Physiology, UNC Neuroscience Center, The University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA. zylka@med.unc.edu.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
UNC Neuroscience Center Research Cores: MicroscopyP30NS045892 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2003 to 2022
$11.5M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LI, YUN · 2013 to 2019
$8.0M
The Elongation Hypothesis of AutismDP1ES024088 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2013 to 2017
$3.8M
Transcription-associated DNA damage and neurodegenerationR56AG058663 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MCCONNELL, MICHAEL J., ZYLKA, MARK J. · 2018 to 2018
$709k
Identification of candidate environmental risks for autismR56ES028236 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZYLKA, MARK J. · 2017 to 2017
$250k
NICHD NIH HHS U54 HD079124NIEHS NIH HHS DP1 ES024088NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R56 ES028236NINDS NIH HHS P30 NS045892
6 · The paper itself

Abstract

We previously used RNA-seq to identify chemicals whose effects on neuronal gene expression mimicked transcriptional signatures of autism, aging, and neurodegeneration. However, this approach was costly and time consuming, which limited our study to testing a single chemical concentration on mixed sex cortical neuron cultures. Here, we adapted a targeted transcriptomic method (RASL-seq, similar to TempO-seq) to interrogate changes in expression of a set of 56 signature genes in response to a library of 350 chemicals and chemical mixtures at four concentrations in male and female mouse neuronal cultures. This enabled us to replicate and expand our previous classifications, and show that transcriptional responses were largely equivalent between sexes. Overall, we found that RASL-seq can be used to accelerate the pace at which chemicals and mixtures that transcriptionally mimic autism and other neuropsychiatric diseases can be identified, and provides a cost-effective way to quantify gene expression with a panel of marker genes.

Indexed as

TranscriptomeAnimalsCells, CulturedCluster AnalysisEmbryo, MammalianFemaleHigh-Throughput Nucleotide SequencingMaleMiceMice, Inbred C57BLNeuronsSequence Analysis, RNATopoisomerase InhibitorsTopoisomerase Inhibitors

Identifiers

PMID30872602
PMCPMC6418307

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.