Evidence map›Paper›PMID 32734995›Full record

ReviewBiomaterials science2021

Hybridizing clinical translatability with enzyme-free DNA signal amplifiers: recent advances in nucleic acid detection and imaging.

Raina M Borum, Jesse V Jokerst

Abstract readReview
In one paragraph

Review in Biomaterials science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Applications and development of in situ nucleic acid visualization techniques.Frontiers in bioengineering and biotechnology · 2026
    Review
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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

2 authors.

Raina M BorumDepartment of NanoEngineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA. jjokerst@ucsd.edu.
Jesse V Jokerst

Funding

Therapeutic Drug Monitoring with a Wearable Ultrasound-based SensorDP2HL137187 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JOKERST, JESSE VINCENT · 2016 to 2019
$2.7M
Cancer Researchers in Nanotechnology (CRIN)T32CA153915 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KUMMEL, ANDREW CLYDE, ZHANG, DONG-ER · 2017 to 2021
$994k
NCI NIH HHS T32 CA153915NHLBI NIH HHS DP2 HL137187
6 · The paper itself

Abstract

Nucleic acids have become viable prognostic and diagnostic biomarkers for a diverse class of diseases, particularly cancer. However, the low femtomolar to attomolar concentration of nucleic acids in human samples require sensors with excellent detection capabilities; many past and current platforms fall short or are economically difficult. Strand-mediated signal amplifiers such as hybridization chain reaction (HCR) and catalytic hairpin assembly (CHA) are superior methods for detecting trace amounts of biomolecules because one target molecule triggers the continuous production of synthetic double-helical DNA. This cascade event is highly discriminatory to the target via sequence specificity, and it can be coupled with fluorescence, electrochemistry, magnetic moment, and electrochemiluminescence for signal reporting. Here, we review recent advances in enhancing the sensing abilities in HCR and CHA for improved live-cell imaging efficiency, lowered limit of detection, and optimized multiplexity. We further outline the potential for clinical translatability of HCR and CHA by summarizing progress in employing these two tools for in vivo imaging, human sample testing, and sensing-treating dualities. We finally discuss their future prospects and suggest clinically-relevant experiments to supplement further related research.

Indexed as

Biosensing TechniquesNucleic AcidsDNAHumansLimit of DetectionNucleic Acid Amplification TechniquesNucleic Acid HybridizationDNANucleic Acids

Identifiers

PMID32734995
PMCPMC7855509

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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.