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

Autoři	UNTERGASSER Andreas HELLEMANS Jan PFAFFL Michael W RUIJTER Jan M VAN DEN HOFF Maurice J B DRAGOMIR Mihnea P ADAMOSKI Douglas DIAS Sandra Martha Gomes REIS Rui Manuel FERRACIN Manuela DIAS-NETO Emmanuel MARSH Ian KUBISTA Mikael FABBRI Muller GOEL Ajay SLABÝ Ondřej KNUTSEN Erik CHEN Baoqing NEGRINI Massimo MIMORI Koshi PICHLER Martin PAPATRIANTAFYLLOU Maria ANFOSSI Simone SCHMITTGEN Thomas D HUGGETT Jim BUSTIN Stephen VANDESOMPELE Jo CALIN George A
Rok publikování	2023
Druh	Článek v odborném periodiku
Časopis / Zdroj	Molecular oncology
Fakulta / Pracoviště MU	Lékařská fakulta
Citace
www	https://febs.onlinelibrary.wiley.com/doi/10.1002/1878-0261.13418
Doi	http://dx.doi.org/10.1002/1878-0261.13418
Klíčová slova	accuracy; quantification; RNA; RT-qPCR
Přiložené soubory	Disclosing_quantitative_RT-PCR_raw_data_during_manuscript_submission_a_call_for_action.pdf
Popis	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.
Související projekty:	Národní ústav pro výzkum rakoviny