Evidence map›Paper›PMID 39131619›Full record

ArticlePeerJ2024

Quantitating primer-template interactions using deconstructed PCR.

Jeremy Kahsen, Sonia K Sherwani, Ankur Naqib, Trisha Jeon, Lok Yiu Ashley Wu, Stefan J Green

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Jeremy Kahsen *Genomics and Microbiome Core Facility, Rush University, Chicago, IL, United States of America.
Sonia K Sherwani *Genomics and Microbiome Core Facility, Rush University, Chicago, IL, United States of America.
Ankur NaqibRush Research Bioinformatics Core, Rush University, Chicago, IL, United States of America.
Trisha JeonGenomics and Microbiome Core Facility, Rush University, Chicago, IL, United States of America.
Lok Yiu Ashley WuGenomics and Microbiome Core Facility, Rush University, Chicago, IL, United States of America.
Stefan J GreenGenomics and Microbiome Core Facility, Rush University, Chicago, IL, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When the polymerase chain reaction (PCR) is used to amplify complex templates such as metagenomic DNA using single or degenerate primers, preferential amplification of templates (PCR bias) leads to a distorted representation of the original templates in the final amplicon pool. This bias can be influenced by mismatches between primers and templates, the locations of mismatches, and the nucleotide pairing of mismatches. Many studies have examined primer-template interactions through interrogation of the final products of PCR amplification with controlled input templates. Direct measurement of primer-template interactions, however, has not been possible, leading to uncertainty when optimizing PCR reactions and degenerate primer pools. In this study, we employed a method developed to reduce PCR bias (

Indexed as

DNA PrimersPolymerase Chain ReactionDNAMetagenomicsTemplates, GeneticDNADNA PrimersNext-generation sequencingPCRPCR biasPrimer designPrimer-template interactions

Identifiers

PMID39131619
PMCPMC11317036

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.