Evidence map›Paper›PMID 35542177›Full record

ArticleSTAR protocols2022

Automated 96-well format high throughput colony formation assay for siRNA library screen.

Stephanie B Hatch, Remko Prevo, Tiffany Chan, Val Millar, Bart Cornelissen, Geoff Higgins, Daniel Ebner

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

Article in STAR protocols, 2022. 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, top 97% 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, 0 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

7 authors at 1 institution in 1 country.

Stephanie B HatchTarget Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Remko PrevoDepartment of Oncology, University of Oxford, Oxford, UK.
Tiffany ChanDepartment of Oncology, University of Oxford, Oxford, UK.
Val MillarTarget Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Bart CornelissenDepartment of Oncology, University of Oxford, Oxford, UK.
Geoff HigginsDepartment of Oncology, University of Oxford, Oxford, UK.
Daniel EbnerTarget Discovery Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
University of Oxford · GB

Funding

Cancer Research UK 19590Cancer Research UK 23970Cancer Research UK C34326/A13092Department of HealthMedical Research Council
6 · The paper itself

Abstract

The colony formation assay is the gold-standard technique to assess cell viability after treatment with cytotoxic reagents, ionizing radiation, and cytotoxic combinatorial treatments. This protocol describes a high-throughput automated and high-content imaging approach to screen siRNA molecular libraries in HeLa cervical cancer cells in 96-well format. We detail reverse transfection of cells with siRNAs, followed by ionizing radiation, fixing, and staining of the plates for automated colony counting. This protocol can be used across a broad range of cell types. For complete details on the use and execution of this protocol, please refer to Tiwana et al. (2015).

Indexed as

High-Throughput Screening AssaysRadiation, IonizingGene LibraryRNA, Small InterferingTransfectionRNA, Small InterferingCancerCell-based AssaysCell BiologyCell cultureHigh Throughput ScreeningMolecular BiologySingle Cell

Identifiers

PMID35542177
PMCPMC9079112
OpenAlexW4225248008

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.