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

Authors :
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
Source :
Molecular Oncology, Vol 17, Iss 5, Pp 713-717 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

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.

Details

Language :
English
ISSN :
18780261 and 15747891
Volume :
17
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Molecular Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.fc57157ea1114752966f2e759b70680f
Document Type :
article
Full Text :
https://doi.org/10.1002/1878-0261.13418