Evidence map›Paper›PMID 42248894›Full record

ArticleNature communications2026

Programmable Nucleic Acid Sensing in Human Cells Using Circularizable ssDNA.

Ahmed Mahas, Raphael Ferreira, Lisa M Riedmayr, George M Church

Abstract read
In one paragraph

Article in Nature communications, 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

4 authors.

Ahmed Mahas *Harvard Medical School, Department of Genetics, Boston, MA, USA. ahmed_mahas@hms.harvard.edu.ORCID http://orcid.org/0000-0003-1572-2383
Raphael Ferreira *Harvard Medical School, Department of Genetics, Boston, MA, USA.
Lisa M RiedmayrHarvard Medical School, Department of Genetics, Boston, MA, USA.ORCID http://orcid.org/0000-0002-0307-2507
George M ChurchHarvard Medical School, Department of Genetics, Boston, MA, USA. gchurch@genetics.med.harvard.edu.ORCID http://orcid.org/0000-0001-6232-9969

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmable technologies that sense nucleic acid signatures in living cells and trigger cellular functions hold promise for biotechnology and medicine. Here, we develop SONAR (Sensing Of Nucleic acids using ASOs and Reverse-transcriptases), a platform that detects target DNA and RNA sequences and triggers controlled gene expression in human cells. SONAR operates through circularizable single-stranded DNA (ssDNA) sensors that, upon hybridization with complementary DNA or reverse-transcribed RNA, undergo target-dependent ligation via cellular ligases, subsequently driving expression of genetic payloads. For RNA sensing, we employ antisense oligonucleotides (ASOs) to prime targeted reverse transcription, generating complementary DNA that promotes ssDNA circularization. We demonstrate SONAR's ability to detect ssDNA, exogenous and endogenous RNA, couple sensing to programmable expression of diverse protein payloads, including reporters, recombinases, and genome editors, and enable enrichment and clonal recovery of target-positive cells from mixed populations. This platform establishes a versatile framework for targeted nucleic acid detection and inducible gene expression, with broad potential applications in diagnostics, therapeutics, and synthetic biology.

Indexed as

Biosensing TechniquesDNA, CircularDNA, Single-StrandedNucleic AcidsHumansNucleic Acid HybridizationOligonucleotides, AntisenseRNARNA-Directed DNA PolymeraseDNA, CircularDNA, Single-StrandedNucleic AcidsOligonucleotides, AntisenseRNARNA-Directed DNA Polymerase

Identifiers

PMID42248894
PMCPMC13408438

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.