Evidence map›Paper›PMID 36132259›Full record

ArticleNanoscale advances2019

Detection of microRNA biomarkers

Coline Jumeaux, Eunjung Kim, Philip D Howes, Hyemin Kim, Rona Chandrawati, Molly M Stevens

Open access · goldAbstract read
In one paragraph

Article in Nanoscale advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Membrane-Associated Biomolecules for Synthetic Cell Signalling.Chembiochem : a European journal of chemical biology · 2026
    Review
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  4. Article
  5. Review
  6. A Colorimetric AgNanomaterials (Basel, Switzerland) · 2022
    Article
  7. Review
  8. Article
  9. 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

6 authors at 1 institution in 1 country.

Coline JumeauxDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London London SW7 2AZ UK m.stevens@imperial.ac.uk.ORCID https://orcid.org/0000-0002-6847-5331
Eunjung KimDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London London SW7 2AZ UK m.stevens@imperial.ac.uk.ORCID https://orcid.org/0000-0001-9579-9414
Philip D HowesDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London London SW7 2AZ UK m.stevens@imperial.ac.uk.ORCID https://orcid.org/0000-0002-1862-8395
Hyemin KimDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London London SW7 2AZ UK m.stevens@imperial.ac.uk.ORCID https://orcid.org/0000-0001-8534-3886
Rona ChandrawatiDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London London SW7 2AZ UK m.stevens@imperial.ac.uk.ORCID https://orcid.org/0000-0002-9780-8844
Molly M StevensDepartment of Materials, Department of Bioengineering, Institute of Biomedical Engineering, Imperial College London London SW7 2AZ UK m.stevens@imperial.ac.uk.ORCID https://orcid.org/0000-0002-7335-266X
Institute of Biomedical Science · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the specific and sensitive detection of microRNA using an inverse DNA-mediated liposome fusion assay. This assay is homogeneous, and does not require washing, separation, or enzyme-associated amplification steps. By fine-tuning the surface functionalisation of the liposomes, liposome concentration, and assay temperature, we demonstrated a sub-nanomolar limit of detection for the target.

Identifiers

PMID36132259
PMCPMC9473185
OpenAlexW2900898053

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.