Evidence map›Paper›PMID 25274660›Full record

ArticleToxicologic pathology2015

Development of a computational high-throughput tool for the quantitative examination of dose-dependent histological features.

Rance Nault, Dirk Colbry, Christina Brandenberger, Jack R Harkema, Timothy R Zacharewski

Open access · greenAbstract read
In one paragraph

Article in Toxicologic pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Cystine/Glutamate XcChemical research in toxicology · 2023
    Article
  5. Article
  6. Single-cell transcriptomics shows dose-dependent disruption of hepatic zonation by TCDD in mice.Toxicological sciences : an official journal of the Society of Toxicology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Dose-Dependent Metabolic Reprogramming and Differential Gene Expression in TCDD-Elicited Hepatic Fibrosis.Toxicological sciences : an official journal of the Society of Toxicology · 2016
    Article
  16. Article
  17. Article
  18. 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

5 authors at 2 institutions in 2 countries.

Rance NaultDepartment of Biochemistry & Molecular Biology, Michigan State University, East Lansing, Michigan, USA Center for Integrative Toxicology, Michigan State University, East Lansing, Michigan, USA.
Dirk ColbryInstitute for Cyber-Enabled Research, Michigan State University, East Lansing, Michigan, USA.
Christina BrandenbergerInstitute of Functional and Applied Anatomy, Hannover Medical School, Hannover, Germany.
Jack R HarkemaCenter for Integrative Toxicology, Michigan State University, East Lansing, Michigan, USA Department of Pathobiology & Diagnostic Investigation, Michigan State University, East Lansing, Michigan, USA.
Timothy R ZacharewskiDepartment of Biochemistry & Molecular Biology, Michigan State University, East Lansing, Michigan, USA Center for Integrative Toxicology, Michigan State University, East Lansing, Michigan, USA tzachare@msu.edu.
Michigan State University · USMedizinische Hochschule Hannover · DE

Funding

VOLATILE ORGANIC CONTAMINANTS--QUANTIFYING THEIR MOVEMENT IN THE UNSATURATED ZONEP42ES004911 · NIEHS · MICHIGAN STATE UNIVERSITY · PI Timothy R. Zacharewski · 1989 to 2026
$64.9M
NIEHS NIH HHS P42 ES004911NIEHS NIH HHS P42ES04911
6 · The paper itself

Abstract

High-resolution digitalizing of histology slides facilitates the development of computational alternatives to manual quantitation of features of interest. We developed a MATLAB-based quantitative histological analysis tool (QuHAnT) for the high-throughput assessment of distinguishable histological features. QuHAnT validation was demonstrated by comparison with manual quantitation using liver sections from mice orally gavaged with sesame oil vehicle or 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD; 0.001-30 μg/kg) every 4 days for 28 days, which elicits hepatic steatosis with mild fibrosis. A quality control module of QuHAnT reduced the number of quantifiable Oil Red O (ORO)-stained images from 3,123 to 2,756. Increased ORO staining was measured at 10 and 30 μg/kg TCDD with a high correlation between manual and computational volume densities (Vv ), although the dynamic range of QuHAnT was 10-fold greater. Additionally, QuHAnT determined the size of each ORO vacuole, which could not be accurately quantitated by visual examination or manual point counting. PicroSirius Red quantitation demonstrated superior collagen deposition detection due to the ability to consider all images within each section. QuHAnT dramatically reduced analysis time and facilitated the comprehensive assessment of features improving accuracy and sensitivity and represents a complementary tool for tissue/cellular features that are difficult and tedious to assess via subjective or semiquantitative methods.

Indexed as

Histological TechniquesAnimalsAzo CompoundsCollagenColoring AgentsComputational BiologyDose-Response Relationship, DrugEnvironmental PollutantsFatty LiverFemaleFibrosisHigh-Throughput Screening AssaysMiceMice, Inbred C57BLPolychlorinated DibenzodioxinsToxicologyAzo CompoundsCollagenColoring AgentsEnvironmental Pollutantsoil red OPolychlorinated Dibenzodioxinsbioinformaticshepatichigh throughputhistopathologymorphometryquantitativeTCDD

Identifiers

PMID25274660
PMCPMC4382446
OpenAlexW2146207032

What OpenQuestion holds

Textmetadata
LicenceTDM
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.