RNA Bioscience Initiative, University of Colorado School of Medicine, Aurora, Colorado, United States of America.
University of Colorado, Boulder, Colorado, United States of America.
PLoS Biol. 2021 May 4;19(5):e3001077. doi: 10.1371/journal.pbio.3001077. eCollection 2021 May.
Single-cell RNA sequencing (scRNA-seq) provides an unprecedented view of cellular diversity of biological systems. However, across the thousands of publications and datasets generated using this technology, we estimate that only a minority (<25%) of studies provide cell-level metadata information containing identified cell types and related findings of the published dataset. Metadata omission hinders reproduction, exploration, validation, and knowledge transfer and is a common problem across journals, data repositories, and publication dates. We encourage investigators, reviewers, journals, and data repositories to improve their standards and ensure proper documentation of these valuable datasets.
单细胞 RNA 测序 (scRNA-seq) 为生物系统的细胞多样性提供了前所未有的视角。然而，在使用这项技术生成的数千篇论文和数据集当中，我们估计只有少数（<25%）的研究提供了包含已鉴定细胞类型和已发表数据集相关发现的细胞水平元数据信息。元数据缺失阻碍了研究的重现、探索、验证和知识转移，这是期刊、数据存储库和出版日期中普遍存在的问题。我们鼓励研究人员、审稿人、期刊和数据存储库提高标准，并确保这些有价值数据集得到妥善记录。
