Evidence map›Paper›PMID 35330136›Full record

ReviewLife (Basel, Switzerland)2022

Obtaining Reliable RT-qPCR Results in Molecular Diagnostics-MIQE Goals and Pitfalls for Transcriptional Biomarker Discovery.

Christian Grätz, Maria L U Bui, Granit Thaqi, Benedikt Kirchner, Robert P Loewe, Michael W Pfaffl

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. MIQE 2.0 and the Urgent Need to Rethink qPCR Standards.International journal of molecular sciences · 2025
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  16. Review
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  18. Immune-Related MoleculesInternational journal of molecular sciences · 2024
    Article
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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.

Christian GrätzDepartment of Animal Physiology and Immunology, School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.ORCID 0000-0002-9356-7940
Maria L U BuiDepartment of Animal Physiology and Immunology, School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.ORCID 0000-0002-4448-6642
Granit ThaqiDepartment of Animal Physiology and Immunology, School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.
Benedikt KirchnerDepartment of Animal Physiology and Immunology, School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.
Robert P LoeweGeneSurge GmbH, Ottostr. 3, 80333 München, Germany.
Michael W PfafflDepartment of Animal Physiology and Immunology, School of Life Sciences, Technical University of Munich, Weihenstephaner Berg 3, 85354 Freising, Germany.ORCID 0000-0002-3192-1019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review, we discuss the development pipeline for transcriptional biomarkers in molecular diagnostics and stress the importance of a reliable gene transcript quantification strategy. Hence, a further focus is put on the MIQE guidelines and how to adapt them for biomarker discovery, from signature validation up to routine diagnostic applications. First, the advantages and pitfalls of the holistic RNA sequencing for biomarker development will be described to establish a candidate biomarker signature. Sequentially, the RT-qPCR confirmation process will be discussed to validate the discovered biomarker signature. Examples for the successful application of RT-qPCR as a fast and reproducible quantification method in routinemolecular diagnostics are provided. Based on the MIQE guidelines, the importance of "key steps" in RT-qPCR is accurately described, e.g., reverse transcription, proper reference gene selection and, finally, the application of automated RT-qPCR data analysis software. In conclusion, RT-qPCR proves to be a valuable tool in the establishment of a disease-specific transcriptional biomarker signature and will have a great future in molecular diagnostics or personalized medicine.

Indexed as

biomarker signatureMIQEmolecular diagnosticsRT-qPCRtranscriptional biomarkers

Identifiers

PMID35330136
PMCPMC8953338

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.