Evidence map›Paper›PMID 41910187›Full record

ArticleJournal of clinical laboratory analysis2026

From DNA Methylation Microarray to Digital PCR: A Stepwise Strategy for Tissue Specific cfDNA Biomarker Development.

David H Murray, Nicky Boulter, Shanon Ranjit, Natasha M Rogers, Sarah Kummerfeld, Jason P Ross, Rodney J Scott

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

David H MurrayGarvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.ORCID https://orcid.org/0000-0002-3073-3593
Nicky BoulterGarvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Shanon RanjitGarvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Natasha M RogersCentre for Transplant and Renal Research, Westmead Institute for Medical Research, Westmead, New South Wales, Australia.ORCID https://orcid.org/0000-0003-2456-9544
Sarah KummerfeldGarvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Jason P RossCSIRO Health & Biosecurity, Westmead, New South Wales, Australia.
Rodney J ScottSchool of Biomedical Sciences and Pharmacy, Faculty of Health and Medicine, University of Newcastle, Callaghan, New South Wales, Australia.

Funding

Kinghorn Foundation
6 · The paper itself

Abstract

backgroundTissue-specific cell-free DNA (cfDNA) offers promise as a minimally invasive biomarker of organ injury. However, current methods for cfDNA tissue-of-origin analysis often depend on genome-wide sequencing approaches, limiting their clinical scalability.

methodsWe developed a streamlined workflow for translating publicly available DNA methylation datasets into PCR-compatible biomarker assays, using kidney-derived cfDNA as a model. DNA methylation microarray data were mined to identify kidney-specific hypermethylated regions, and candidate biomarkers were screened in silico and experimentally. A digital PCR assay targeting a PAX2-associated DMR was evaluated for analytical performance and assessed in a small exploratory clinical cohort (healthy controls n = 9; transplant recipients n = 5 pre-transplant, n = 7 at 24 h, n = 2 at day 7).

resultsThe selected PAX2 methylation marker demonstrated high analytical specificity for kidney tissue and was not detected in healthy donor plasma or pre-transplant samples. In contrast, the marker was robustly detected in post-transplant plasma samples, consistent with acute kidney injury due to ischemia-reperfusion.

conclusionThis proof-of-concept study outlines a scalable method for developing PCR-based tissue-specific cfDNA biomarkers. Our kidney-specific assay demonstrates the potential for rapid, cost-effective organ injury monitoring and could be adapted for other tissue types. This strategy may support future diagnostic applications in nephrology, oncology, and transplant medicine.

Indexed as

Cell-Free Nucleic AcidsDNA MethylationOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionBiomarkersFemaleHumansKidneyKidney TransplantationPAX2 Transcription FactorBiomarkersCell-Free Nucleic AcidsPAX2 protein, humanPAX2 Transcription Factor

Identifiers

PMID41910187
PMCPMC13163929

What Socratic 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 Socratic graph.