Evidence map›Paper›PMID 18950280›Full record

ReviewExpert opinion on drug metabolism & toxicology2008

Systems biology and functional genomics approaches for the identification of cellular responses to drug toxicity.

Alison Hege Harrill, Ivan Rusyn

Abstract readReview
In one paragraph

Review in Expert opinion on drug metabolism & toxicology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Pharmacogenetics: Opportunities for theAnnual review of pharmacology and toxicology · 2025
    Review
  3. Review
  4. Article
  5. Population-based dose-response analysis of liver transcriptional response to trichloroethylene in mouse.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    Article
  6. Article
  7. Animal-Free Chemical Safety Assessment.Frontiers in pharmacology · 2016
    Review
  8. Article
  9. In vitro screening for population variability in chemical toxicity.Toxicological sciences : an official journal of the Society of Toxicology · 2011
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. 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

2 authors.

Alison Hege HarrillUniversity of North Carolina at Chapel Hill, 0031 Michael Hooker Research Center, Curriculum in Toxicology, CB 7431, Chapel Hill, NC, 27599, USA. iir@unc.edu
Ivan Rusyn

Funding

STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
Profiles of Sucsceptibility to Toxicant StressU19ES011391 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAUFMANN, WILLIAM K · 2001 to 2007
$8.4M
Bioengineering partnership to improve chemical hazard testing paradigmsR01ES015241 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUSYN, IVAN · 2008 to 2012
$3.1M
Metabolomic and Toxicogenetic Study of Ethanol ToxicityR01AA016258 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUSYN, IVAN · 2005 to 2009
$2.5M
NIAAA NIH HHS R01 AA016258NIEHS NIH HHS P42 ES005948NIEHS NIH HHS R01 ES015241NIEHS NIH HHS U19 ES011391
6 · The paper itself

Abstract

Extensive growth in the field of molecular biology in recent decades has led to the development of new and powerful experimental and computational tools that enable the analysis of complex biological responses to chemical exposure on both a functional and structural genetic level. The ability to profile global responses on a transcriptional level has become a valuable resource in the science of toxicology and attempts are now being made to further understand toxicity mechanisms by incorporating metabolomics and proteomics approaches. In addition, recent progress in understanding the extent of the genetic diversity within and between species allows us to take a fresh look at research on genetic polymorphisms that may influence an individual's susceptibility to toxicity. Whereas new technologies have the potential to make a sizeable impact on our understanding of the mechanisms of toxicity, considerable challenges remain to be addressed, especially with regard to the regulatory acceptance and successful integration of omics data. This review highlights recent advancements in the application of functional and structural genomics techniques to chemical hazard identification and characterization, and to the understanding of the interindividual differences in susceptibility to adverse drug reactions.

Indexed as

Drug-Related Side Effects and Adverse ReactionsSystems BiologyToxicogeneticsAnimalsBiotechnologyGene Expression ProfilingHumans

Identifiers

PMID18950280
PMCPMC2614284

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.