Evidence map›Paper›PMID 36993631›Full record

ArticlebioRxiv : the preprint server for biology2023

Alamar Blue assay optimization to minimize drug interference and inter-assay viability.

Mina N Dinh, Masahiro Hitomi, Zahraa A Al-Turaihi, Jacob G Scott

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 7 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Mina N DinhDepartment of Translational Hematology & Oncology Research, Cleveland Clinic, Cleveland, OH.
Masahiro HitomiDepartment of Translational Hematology & Oncology Research, Cleveland Clinic, Cleveland, OH.
Zahraa A Al-TuraihiDepartment of Translational Hematology & Oncology Research, Cleveland Clinic, Cleveland, OH.
Jacob G ScottDepartment of Translational Hematology & Oncology Research, Cleveland Clinic, Cleveland, OH.
Cleveland Clinic · US

Funding

Exploiting Ecology and Evolution to Prevent Therapy Resistance in EGFR-Driven Lung CancerR37CA244613 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI Jacob Gardinier Scott · 2020 to 2026
$4.0M
NCI NIH HHS R37 CA244613
6 · The paper itself

Abstract

Alamar Blue (AB) has become an increasingly popular reagent of choice for cell viability assays. We chose AB over other reagents such as MTT and Cell-Titer Glo due to its cost effectiveness and its ability to be a nondestructive assay. While analyzing the effect of osimertinib, an EGFR inhibitor on the non-small cell lung cancer cell line, PC-9, we noticed unexpected right-shifts of dose response curves as compared to the curve obtained by Cell Titer Glo assay. Here, we describe our modified AB assay method to avoid right shift right shift in dose response curve. Unlike some of the redox drugs that were reported to directly affected AB reading, osimertinib itself did not directly increase AB reading. Yet, the removal of the drug containing medium prior to AB addition eliminated falsely increased reading giving comparable dose response curve as the one determined by Cell Titer Glo assay. When a panel of 11 drugs were assessed, we found that this modified AB assay eliminated unexpected similar right shifts detected in other epidermal growth factor receptor (EGFR) inhibitors. We also found that plate-to-plate variability can be minimized by adding an appropriate concentration of rhodamine B solution to the assay plates to calibrate fluorimeter sensitivity. This calibration method also enables a continuous longitudinal assay to monitor cell growth or recovery from drug toxicity over time. Our new modified AB assay is expected to provide accurate

Identifiers

PMID36993631
PMCPMC10055072
OpenAlexW4327843384

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.