Evidence map›Paper›PMID 33853570›Full record

ArticleBMC biotechnology2021

Quantifying 35 transcripts in a single tube: model-based calibration of the GeXP multiplex RT-PCR assay.

Pauline Marquardt, Britta Werthmann, Viktoria Rätzel, Markus Haas, Wolfgang Marwan

Abstract readEvaluation Study
In one paragraph

Article in BMC biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Pauline Marquardt *Magdeburg Centre for Systems Biology and Institute for Biology, Otto-von-Guericke Universität, Magdeburg, Germany.
Britta Werthmann *Magdeburg Centre for Systems Biology and Institute for Biology, Otto-von-Guericke Universität, Magdeburg, Germany.
Viktoria Rätzel *Magdeburg Centre for Systems Biology and Institute for Biology, Otto-von-Guericke Universität, Magdeburg, Germany.
Markus HaasMagdeburg Centre for Systems Biology and Institute for Biology, Otto-von-Guericke Universität, Magdeburg, Germany.
Wolfgang MarwanMagdeburg Centre for Systems Biology and Institute for Biology, Otto-von-Guericke Universität, Magdeburg, Germany. wolfgang.marwan@ovgu.de.ORCID 0000-0002-6311-5433

Funding

Deutsche Forschungsgemeinschaft MA 1516/10-1
6 · The paper itself

Abstract

backgroundQuantitative analysis of differential gene expression is of central importance in molecular life sciences. The Gene eXpression Profiling technology (GeXP) relies on multiplex RT-PCR and subsequent capillary electrophoretic separation of the amplification products and allows to quantify the transcripts of at least 35 genes with a single reaction and one dye.

resultsWe provide a kinetic model of primer binding and PCR product formation as the rational basis for taking and evaluating calibration curves. The calibration procedure and the model predictions were validated with the help of a purposefully designed data processing workflow supported by easy-to-use Perl scripts for calibration, data evaluation, and quality control. We further demonstrate the robustness and linearity of quantification of individual transcripts at variable relative abundance of other co-amplified transcripts in a complex mixture of RNAs isolated from differentiating Physarum polycephalum plasmodial cells.

conclusionsWe conclude that GeXP analysis is a robust, sensitive, and useful method when the transcripts of tens to few hundred genes are to be precisely quantified in a high number of samples.

Indexed as

CalibrationDNA PrimersReverse Transcriptase Polymerase Chain ReactionRNASensitivity and SpecificityDNA PrimersRNACapillary electrophoresisCell differentiationDNA fragment analysisMarker genesMultiplex RT-PCRPhysarum polycephalum

Identifiers

PMID33853570
PMCPMC8048187

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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.