Evidence map›Paper›PMID 39870608›Full record

ArticleAnalytical chemistry2025

Propidium Monoazide is Unreliable for Quantitative Live-Dead Molecular Assays.

Simerdeep Kaur, Laura Bran, Grigorii Rudakov, Jiangshan Wang, Mohit S Verma

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. 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
–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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Single-cell quantification of the microbiota by flow cytometry: MicFLY.bioRxiv : the preprint server for biology · 2025
    Article
  8. Review
  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

5 authors.

Simerdeep KaurDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Laura BranDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Grigorii RudakovWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana 47907, United States.
Jiangshan WangDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0002-2620-8411
Mohit S VermaDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana 47907, United States.ORCID 0000-0002-6374-3333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Propidium monoazide (PMA) is a dye that distinguishes between live and dead cells in molecular assays like the Polymerase Chain Reaction (PCR). It works by cross-linking to the DNA of cells that have compromised membranes or extracellular DNA upon photoactivation, making the DNA inaccessible for amplification. Currently, PMA is used to detect viable pathogens and alleviate systemic bias in the microbiome analysis of samples using 16S rRNA gene sequencing. In these applications, treated samples consist of different amounts of dead bacteria and a range of bacterial strains, variables that can affect the performance of PMA and lead to inconsistent findings across various research studies. To evaluate the effectiveness of PMA, we used a sensitive qPCR assay and post-treatment sample concentration to determine PMA cross-linkage and activity accurately under varying sample conditions. We report that PMA is unreliable for viability assays when the concentration and composition of the bacterial mixtures are unknown. PMA is suitable only for qualitatively assessing viability in samples containing a known number of dead microbes or extracellular DNA.

Indexed as

AzidesPropidiumBacteriaDNA, BacterialMicrobial ViabilityReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SAzidesDNA, BacterialPropidiumpropidium monoazideRNA, Ribosomal, 16S

Identifiers

PMID39870608
PMCPMC11822742

What OpenQuestion holds

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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.