Evidence map›Paper›PMID 40307572›Full record

ReviewExperimental & molecular medicine2025

Analytical techniques for nucleic acid and protein detection with single-molecule sensitivity.

Soochul Shin, Juyoung Kim, Eunho Song, Sun Han, Sungchul Hohng

Abstract readReview
In one paragraph

Review in Experimental & molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
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.

Soochul ShinDepartment of Physics and Astronomy, Institute of Applied Physics, Seoul National University, Seoul, Republic of Korea.
Juyoung KimDepartment of Physics and Astronomy, Institute of Applied Physics, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-6317-1988
Eunho SongDepartment of Physics and Astronomy, Institute of Applied Physics, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-3245-1298
Sun HanDepartment of Physics and Astronomy, Institute of Applied Physics, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0005-4084-1722
Sungchul HohngDepartment of Physics and Astronomy, Institute of Applied Physics, Seoul National University, Seoul, Republic of Korea. shohng@snu.ac.kr.ORCID http://orcid.org/0000-0002-7131-2138

Funding

National Research Foundation of Korea (NRF) 2022R1A2C3008746
6 · The paper itself

Abstract

Nucleic acids and proteins serve as crucial biomarkers used in the diagnosis, prognosis and therapy monitoring across various diseases. Traditionally, these biomarkers are identified at an ensemble level following the amplification of target or signaling molecules. However, these methods have limitations in addressing contemporary challenges in molecular diagnostics, such as low sensitivity, specificity, throughput and imprecise quantification. To overcome these limitations, various analytical techniques offering single-molecule sensitivity have been developed. Here we aim to provide a concise overview of historically notable and potentially promising analytical techniques to detect nucleic acids and proteins with single-molecule sensitivity. Our focus is on their potential in liquid biopsy, delineating their strengths and weaknesses, providing insights into their ability to revolutionize biomarker analysis and paving the way for more advanced technologies.

Indexed as

Molecular Diagnostic TechniquesNucleic AcidsProteinsSingle Molecule ImagingAnimalsBiomarkersHumansLiquid BiopsyBiomarkersNucleic AcidsProteins

Identifiers

PMID40307572
PMCPMC12130535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.