Evidence map›Paper›PMID 41272443›Full record

ArticleBMC genomics2025

PCR optimization for buccal swab-derived samples: overcoming sporadic inhibition with bovine serum albumin.

Stefanie Tietze, Julia Phieler, Sabine Bergmann, Juliane Grimmer, Kathrin Putke, Bastian Joffroy, Yannic Utz, Katrin Hengst, Bianca Heyn, Diana Panhans and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Stefanie TietzeDKMS Life Science Lab, Dresden, Germany. tietze@dkms-lab.de.
Julia PhielerDKMS Life Science Lab, Dresden, Germany.
Sabine BergmannDKMS Life Science Lab, Dresden, Germany.
Juliane GrimmerDKMS Life Science Lab, Dresden, Germany.
Kathrin PutkeDKMS Life Science Lab, Dresden, Germany.
Bastian JoffroyDKMS Life Science Lab, Dresden, Germany.
Yannic UtzDKMS Life Science Lab, Dresden, Germany.
Katrin HengstDKMS Life Science Lab, Dresden, Germany.
Bianca HeynDKMS Life Science Lab, Dresden, Germany.
Diana PanhansDKMS Life Science Lab, Dresden, Germany.
Alexander H SchmidtDKMS Life Science Lab, Dresden, Germany.
Anja KlussmeierDKMS Life Science Lab, Dresden, Germany.
Vinzenz LangeDKMS Life Science Lab, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBuccal swabs are widely used as a non-invasive method for genomic DNA collection in large-scale genotyping studies. However, the sporadic presence of PCR inhibitors within these samples may hinder PCR amplification and affect assay reliability. This study investigates the incorporation of bovine serum albumin (BSA) into the PCR reaction mixture as an additive to counteract PCR inhibition.

resultsIn our high-throughput setting, the incorporation of BSA significantly improved robustness, lowering failure rates to 0.1% in subsequent routine operation across 1,000,000 buccal swab samples. Despite minor challenges with foaming during automated liquid handling, no detrimental effects on PCR performance were observed.

conclusionThese results underscore the efficacy of BSA in improving PCR robustness, enhancing the reliability of high-throughput molecular diagnostic assays.

Indexed as

Mouth MucosaPolymerase Chain ReactionSerum Albumin, BovineSpecimen HandlingAnimalsCattleHumansReproducibility of ResultsSerum Albumin, BovineBSABuccal swab-derived DNAHLA genotypingPCRPCR inhibitors

Identifiers

PMID41272443
PMCPMC12670845

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.