Evidence map›Paper›PMID 34527954›Full record

ArticleSTAR protocols2021

MalariaCometChip for high-throughput quantification of DNA damage in

Aoli Xiong, Simran Kaushal, Ian Junjie Tay, Bevin P Engelward, Jongyoon Han, Peter R Preiser

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in STAR protocols, 2021. 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
0.2field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 4 institutions in 2 countries.

Aoli XiongSchool of Biological Sciences, Nanyang Technological University, Singapore 639798, Singapore.
Simran KaushalDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Ian Junjie TayDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Bevin P EngelwardDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Jongyoon HanBioSystems and Micromechanics (BioSyM) interdisciplinary research group (IRG), Singapore-MIT Alliance for Research and Technology (SMART), Singapore 138602, Singapore.
Peter R PreiserSchool of Biological Sciences, Nanyang Technological University, Singapore 639798, Singapore.
Massachusetts Institute of Technology · USNanyang Technological University · SGHarvard University · USSingapore-MIT Alliance for Research and Technology · SG

Funding

The MIT Superfund Research Program: A Systems Approach for the Protection of Human Health from Hazardous ChemicalsP42ES027707 · NIEHS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Desiree Plata · 2017 to 2026
$22.2M
NIEHS NIH HHS P42 ES027707
6 · The paper itself

Abstract

Comet assay is a standard approach for studying DNA damage in malaria, but high-throughput options are not available. The CometChip was previously developed using mammalian cells as a high-throughput version of the comet assay. It is based on the same principle as the comet assay but provides greater efficacy, automated data processing, and improved consistency between experiments. In this protocol, we present MalariaCometChip to quantitatively assess drug-induced DNA damage in

Indexed as

Cells, CulturedComet AssayDNA DamageDNA, ProtozoanElectrophoresisEquipment DesignHigh-Throughput Screening AssaysPlasmodium falciparumDNA, ProtozoanBiotechnology and bioengineeringHigh-Throughput ScreeningMicrobiologyMicroscopyMolecular Biology

Identifiers

PMID34527954
PMCPMC8430384
OpenAlexW3198656677

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.