Molecular Oncology (May 2023)

Disclosing quantitative RT‐PCR raw data during manuscript submission: a call for action

  • Andreas Untergasser,
  • Jan Hellemans,
  • Michael W. Pfaffl,
  • Jan M. Ruijter,
  • Maurice J. B. van denHoff,
  • Mihnea P. Dragomir,
  • Douglas Adamoski,
  • Sandra Martha Gomes Dias,
  • Rui Manuel Reis,
  • Manuela Ferracin,
  • Emmanuel Dias‐Neto,
  • Ian Marsh,
  • Mikael Kubista,
  • Muller Fabbri,
  • Ajay Goel,
  • Ondřej Slabý,
  • Erik Knutsen,
  • Baoqing Chen,
  • Massimo Negrini,
  • Koshi Mimori,
  • Martin Pichler,
  • Maria Papatriantafyllou,
  • Simone Anfossi,
  • Thomas D. Schmittgen,
  • Jim Huggett,
  • Stephen Bustin,
  • Jo Vandesompele,
  • George A. Calin,
  • for the HEROIC (tHe initiativE gRoup On qRT dIsClosure) Consortium

DOI
https://doi.org/10.1002/1878-0261.13418
Journal volume & issue
Vol. 17, no. 5
pp. 713 – 717

Abstract

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Accuracy and transparency of scientific data are becoming more and more relevant with the increasing concern regarding the evaluation of data reproducibility in many research areas. This concern is also true for quantifying coding and noncoding RNAs, with the remarkable increase in publications reporting RNA profiling and sequencing studies. To address the problem, we propose the following recommendations: (a) accurate documentation of experimental procedures in Materials and methods (and not only in the supplementary information, as many journals have a strict mandate for making Materials and methods as visible as possible in the main text); (b) submission of RT‐qPCR raw data for all experiments reported; and (c) adoption of a unified, simple format for submitted RT‐qPCR raw data. The Real‐time PCR Data Essential Spreadsheet Format (RDES) was created for this purpose.

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