Evidence map›Paper›PMID 34716395›Full record

ArticleScientific reports2021

Auto-qPCR; a python-based web app for automated and reproducible analysis of qPCR data.

Gilles Maussion, Rhalena A Thomas, Iveta Demirova, Gracia Gu, Eddie Cai, Carol X-Q Chen, Narges Abdian, Theodore J P Strauss, Sabah Kelaï, Angela Nauleau-Javaudin and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. [Preclinical Development Process and Prospects of Real-time Fluorescence Quantitative Polymerase Chain Reaction Detection Kits].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Transcriptional Dysregulation and Impaired Neuronal Activity inInternational journal of molecular sciences · 2023
    Article
  9. Article
  10. Article
  11. 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

14 authors.

Gilles Maussion *The Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Rhalena A Thomas *The Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Iveta DemirovaThe Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Gracia GuThe Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Eddie CaiThe Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Carol X-Q ChenThe Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Narges AbdianThe Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Theodore J P StraussMcConnell MNI Brain Imaging Center, McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Sabah KelaïINSERM U1266, Institute of Psychiatry and Neuroscience of Paris, Paris, France.
Angela Nauleau-JavaudinThe Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Lenore K BeitelThe Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada.
Nicolas RamozINSERM U1266, Institute of Psychiatry and Neuroscience of Paris, Paris, France.
Philip GorwoodINSERM U1266, Institute of Psychiatry and Neuroscience of Paris, Paris, France.
Thomas M DurcanThe Neuro's Early Drug Discovery Unit (EDDU), McGill University, 3801 University Street, Montreal, QC, H3A 2B4, Canada. thomas.durcan@mcgill.ca.

Funding

CIHR PJT-169095
6 · The paper itself

Abstract

Quantifying changes in DNA and RNA levels is essential in numerous molecular biology protocols. Quantitative real time PCR (qPCR) techniques have evolved to become commonplace, however, data analysis includes many time-consuming and cumbersome steps, which can lead to mistakes and misinterpretation of data. To address these bottlenecks, we have developed an open-source Python software to automate processing of result spreadsheets from qPCR machines, employing calculations usually performed manually. Auto-qPCR is a tool that saves time when computing qPCR data, helping to ensure reproducibility of qPCR experiment analyses. Our web-based app ( https://auto-q-pcr.com/ ) is easy to use and does not require programming knowledge or software installation. Using Auto-qPCR, we provide examples of data treatment, display and statistical analyses for four different data processing modes within one program: (1) DNA quantification to identify genomic deletion or duplication events; (2) assessment of gene expression levels using an absolute model, and relative quantification (3) with or (4) without a reference sample. Our open access Auto-qPCR software saves the time of manual data analysis and provides a more systematic workflow, minimizing the risk of errors. Our program constitutes a new tool that can be incorporated into bioinformatic and molecular biology pipelines in clinical and research labs.

Indexed as

Data AnalysisAlgorithmsComputational BiologyHumansReal-Time Polymerase Chain ReactionSoftware

Identifiers

PMID34716395
PMCPMC8556264

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.