Evidence map›Paper›PMID 41952234›Full record

ArticleBMC research notes2026

Validation of a CD81-based flow cytometry assay to assess dCas9 silencing activity.

Iris Manosalva, Megan Charles-Alfred, Magali Torres, Joaquin Felipe Roca Paixao, Salvatore Spicuglia

Abstract readValidation Study
In one paragraph

Article in BMC research notes, 2026. 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.

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

5 authors.

Iris ManosalvaInserm, Theories and Approaches of Genomic Complexity (TAGC), UMR1090, Aix-Marseille University, 13288, Marseille, France.
Megan Charles-AlfredInserm, Theories and Approaches of Genomic Complexity (TAGC), UMR1090, Aix-Marseille University, 13288, Marseille, France.
Magali TorresInserm, Theories and Approaches of Genomic Complexity (TAGC), UMR1090, Aix-Marseille University, 13288, Marseille, France.
Joaquin Felipe Roca PaixaoInserm, Theories and Approaches of Genomic Complexity (TAGC), UMR1090, Aix-Marseille University, 13288, Marseille, France.
Salvatore SpicugliaInserm, Theories and Approaches of Genomic Complexity (TAGC), UMR1090, Aix-Marseille University, 13288, Marseille, France. salvatore.spicuglia@inserm.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe efficiency of CRISPR interference (CRISPRi) depends on functional dCas9 activity, yet practical and reproducible validation of dCas9-expressing cell lines remains limited. Here, we describe a simple and reproducible assay to assess dCas9 functionality using a single sgRNA targeting the nonessential and ubiquitously expressed surface protein CD81.

resultsWe evaluated this approach in multiple hematological and solid tumor cell lines expressing the dCas9-KRAB-MeCP2 repressor complex. In all tested models, CD81 targeting resulted in a consistent reduction of surface protein levels, quantified by flow cytometry. This assay provides a rapid and quantitative functional readout of dCas9 activity without the need for reporter constructs or transcriptional assays. The CD81-targeting sgRNA and validated cell lines are made available to support reproducibility and technical standardization in CRISPRi experiments. This strategy can be readily implemented in any laboratory using CRISPRi-based approaches.

Indexed as

CRISPR-Cas SystemsFlow CytometryGene SilencingTetraspanin 28Cell Line, TumorHumansReproducibility of ResultsRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas SystemsTetraspanin 28CD81CRISPRiSilencing

Identifiers

PMID41952234
PMCPMC13182030

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.