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投稿时披露定量 RT-PCR 原始数据:行动呼吁。

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

机构信息

Zentrum für Molekulare Biologie der Universität Heidelberg, Germany.

Genomics Core Facility, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.

出版信息

Mol Oncol. 2023 May;17(5):713-717. doi: 10.1002/1878-0261.13418. Epub 2023 Mar 27.

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.

摘要

随着人们越来越关注许多研究领域的数据可重复性评估,科学数据的准确性和透明度变得越来越重要。在对编码和非编码 RNA 进行定量分析时,也存在同样的问题,因为有大量报道 RNA 分析和测序研究的出版物。为了解决这个问题,我们提出了以下建议:(a) 在材料和方法中准确记录实验步骤(而不仅仅是在补充信息中,因为许多期刊都严格要求将材料和方法尽可能清晰地呈现在正文中);(b) 提交所有报告实验的 RT-qPCR 原始数据;(c) 采用统一、简单的格式提交 RT-qPCR 原始数据。为此创建了实时 PCR 数据基本电子表格格式 (RDES)。

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