Evidence map›Paper›PMID 20217581›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2010

Metabolic enzyme microarray coupled with miniaturized cell-culture array technology for high-throughput toxicity screening.

Moo-Yeal Lee, Jonathan S Dordick, Douglas S Clark

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.7field-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

3 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Technology advancement for integrative stem cell analyses.Tissue engineering. Part B, Reviews · 2014
    Review
  3. 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

3 authors at 3 institutions in 1 country.

Moo-Yeal LeeSolidus Biosciences, Inc, Troy, NY, USA. lee@solidusbio.com
Jonathan S Dordick
Douglas S Clark
Rensselaer Polytechnic Institute · USSolidus Biosciences (United States) · USUniversity of California, Berkeley · US

Funding

High-Throughput Platform for Identifying Stem Cell ToxicityR01ES020903 · NIEHS · RENSSELAER POLYTECHNIC INSTITUTE · PI DORDICK, JONATHAN S., SCHAFFER, DAVID V · 2012 to 2015
$2.0M
Integrated Biochip for In-Vitro ToxicologyR42ES012619 · NIEHS · SOLIDUS BIOSCIENCES, INC. · PI DORDICK, JONATHAN S. · 2005 to 2007
$1.7M
Integrated Biochip for In-Vitro ToxicologyR41ES012619 · NIEHS · SOLIDUS BIOSCIENCES, INC. · PI DORDICK, JONATHAN S. · 2003 to 2004
$499k
NIEHS NIH HHS ES-012619NIEHS NIH HHS R01 ES020903NIEHS NIH HHS R41 ES012619NIEHS NIH HHS R42 ES012619
6 · The paper itself

Abstract

Due to poor drug candidate safety profiles that are often identified late in the drug development process, the clinical progression of new chemical entities to pharmaceuticals remains hindered, thus resulting in the high cost of drug discovery. To accelerate the identification of safer drug candidates and improve the clinical progression of drug candidates to pharmaceuticals, it is important to develop high-throughput tools that can provide early-stage predictive toxicology data. In particular, in vitro cell-based systems that can accurately mimic the human in vivo response and predict the impact of drug candidates on human toxicology are needed to accelerate the assessment of drug candidate toxicity and human metabolism earlier in the drug development process. The in vitro techniques that provide a high degree of human toxicity prediction will be perhaps more important in cosmetic and chemical industries in Europe, as animal toxicity testing is being phased out entirely in the immediate future.We have developed a metabolic enzyme microarray (the Metabolizing Enzyme Toxicology Assay Chip, or MetaChip) and a miniaturized three-dimensional (3D) cell-culture array (the Data Analysis Toxicology Assay Chip, or DataChip) for high-throughput toxicity screening of target compounds and their metabolic enzyme-generated products. The human or rat MetaChip contains an array of encapsulated metabolic enzymes that is designed to emulate the metabolic reactions in the human or rat liver. The human or rat DataChip contains an array of 3D human or rat cells encapsulated in alginate gels for cell-based toxicity screening. By combining the DataChip with the complementary MetaChip, in vitro toxicity results are obtained that correlate well with in vivo rat data.

Indexed as

MiniaturizationAnimalsCell Line, TumorEnzymesGlassHigh-Throughput Screening AssaysHumansMaleic AnhydridesPolymersPolystyrenesPrintingRatsSilanesStaining and LabelingTissue Array AnalysisToxicity TestsEnzymesMaleic Anhydridesmethyltrimethoxysilanepolymaleic anhydridePolymersPolystyrenesSilanes

Identifiers

PMID20217581
PMCPMC5293182
OpenAlexW18936491

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.