Evidence map›Paper›PMID 26167949›Full record

ArticleLab on a chip2015

Quantitative dose-response curves from subcellular lipid multilayer microarrays.

A E Kusi-Appiah, T W Lowry, E M Darrow, K A Wilson, B P Chadwick, M W Davidson, S Lenhert

Open access · greenAbstract read
In one paragraph

Article in Lab on a chip, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

A E Kusi-AppiahDepartment of Biological Science, Florida State University, Tallahassee, FL 32306-4370, USA. lenhert@bio.fsu.edu.
T W Lowry
E M Darrow
K A Wilson
B P Chadwick
M W Davidson
S Lenhert
Florida State University · USTallahassee Orthopedic Clinic · USNational High Magnetic Field Laboratory · US

Funding

High-throughput lipophilic drug screening microarraysR01GM107172 · NIGMS · FLORIDA STATE UNIVERSITY · PI LENHERT, STEVEN · 2013 to 2017
$1.3M
NIGMS NIH HHS R01 GM107172NIGMS NIH HHS R01GM107172
6 · The paper itself

Abstract

The dose-dependent bioactivity of small molecules on cells is a crucial factor in drug discovery and personalized medicine. Although small-molecule microarrays are a promising platform for miniaturized screening, it has been a challenge to use them to obtain quantitative dose-response curves in vitro, especially for lipophilic compounds. Here we establish a small-molecule microarray assay capable of controlling the dosage of small lipophilic molecules delivered to cells by varying the sub-cellular volumes of surface supported lipid micro- and nanostructure arrays fabricated with nanointaglio. Features with sub-cellular lateral dimensions were found necessary to obtain normal cell adhesion with HeLa cells. The volumes of the lipophilic drug-containing nanostructures were determined using a fluorescence microscope calibrated by atomic-force microscopy. We used the surface supported lipid volume information to obtain EC-50 values for the response of HeLa cells to three FDA-approved lipophilic anticancer drugs, docetaxel, imiquimod and triethylenemelamine, which were found to be significantly different from neat lipid controls. No significant toxicity was observed on the control cells surrounding the drug/lipid patterns, indicating lack of interference or leakage from the arrays. Comparison of the microarray data to dose-response curves for the same drugs delivered liposomally from solution revealed quantitative differences in the efficacy values, which we explain in terms of cell-adhesion playing a more important role in the surface-based assay. The assay should be scalable to a density of at least 10,000 dose response curves on the area of a standard microtiter plate.

Indexed as

Microarray AnalysisAminoquinolinesAntineoplastic AgentsCell AdhesionCell SurvivalDocetaxelDrug DiscoveryHeLa CellsHumansImiquimodLiposomesMicroscopy, Atomic ForceMicroscopy, FluorescenceNanostructuresPrecision MedicineTaxoidsAminoquinolinesAntineoplastic AgentsDocetaxelImiquimodLiposomesTaxoidsTriethylenemelamine

Identifiers

PMID26167949
PMCPMC4532382
OpenAlexW2133244915

What OpenQuestion holds

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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.