A pair of datasets for microRNA expression profiling to examine the use of careful study design for assigning arrays to samples Journal Article


Authors: Qin, L. X.; Huang, H. C.; Villafania, L.; Cavatore, M.; Olvera, N.; Levine, D. A.
Article Title: A pair of datasets for microRNA expression profiling to examine the use of careful study design for assigning arrays to samples
Abstract: We set out to demonstrate the logistic feasibility of careful experimental design for microarray studies and its level of scientific benefits for improving the accuracy and reproducibility of data inference. Towards this end, we conducted a study of microRNA expression using endometrioid endometrial tumours (n=96) and serous ovarian tumours (n=96) that were primary, untreated, and collected from 2000 to 2012 at Memorial Sloan Kettering Cancer Center. The same set of tumour tissue samples were profiled twice using the Agilent microRNA microarrays: once under an ideal experimental condition with balanced array-to-sample allocation and uniform handling; a second time by mimicking typical practice, with arrays assigned in the order of sample collection and processed by two technicians in multiple batches. This paper provides a detailed description of the generation and validation of this unique dataset pair so that the research community can re-use it to investigate other statistical questions regarding microarray study design and data analysis, and to address biological questions on the relevance of microRNA expression in gynaecologic cancer. © 2018 The Author(s).
Journal Title: Scientific Data
Volume: 5
ISSN: 2052-4463
Publisher: Nature Publishing Group  
Date Published: 2018-05-15
Start Page: 180084
Language: English
DOI: 10.1038/sdata.2018.84
PROVIDER: scopus
PMCID: PMC5952865
PUBMED: 29762551
DOI/URL:
Notes: Article -- Export Date: 1 June 2018 -- Source: Scopus
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MSK Authors
  1. Douglas A Levine
    356 Levine
  2. Li-Xuan Qin
    114 Qin
  3. Narciso Olvera
    71 Olvera
  4. Huei Chung Huang
    4 Huang