Profiling the small non-coding RNA transcriptome of the human placenta

Victor D. Martinez, David E. Cohn, Nikita Telkar, Brenda C. Minatel, Michelle E. Pewarchuk, Erin A. Marshall, E. Magda Price, Wendy P. Robinson, Wan L. Lam

Résultat de recherche: Articleexamen par les pairs

8 Citations (Scopus)

Résumé

Proper functioning of the human placenta is critical for maternal and fetal health. While microRNAs (miRNAs) are known to impact placental gene expression, the effects of other small non-coding RNAs (sncRNAs) on the placental transcriptome are not well-established, and are emerging topics in the study of environmental influence on fetal development and reproductive health. Here, we assembled a cohort of 30 placental chorionic villi samples of varying gestational ages (M ± SD = 23.7 ± 11.3 weeks) to delineate the human placental sncRNA transcriptome through small RNA sequence analysis. We observed expression of 1544 sncRNAs, which include 48 miRNAs previously unannotated in humans. Additionally, 18,003 miRNA variants (isomiRs) were identified from the 654 observed miRNA species. This characterization of the term and pre-term placental sncRNA transcriptomes provides data fundamental to future investigations of their regulatory functions in the human placenta, and the baseline expression pattern needed for identifying changes in response to environmental factors, or under disease conditions.

Langue d'origineEnglish
Numéro d'article166
JournalScientific data
Volume8
Numéro de publication1
DOI
Statut de publicationPublished - déc. 2021
Publié à l'externeOui

Note bibliographique

Funding Information:
This work was supported by the National Institutes of Health (R01HD089713) and the Canadian Institutes of Health Research (FDN-143345). E.A.M. is a Vanier Canada Graduate Scholar. The authors thank Dr. Maria Peñaherrera and Ruby Jiang for their assistance with sample processing.

Publisher Copyright:
© 2021, The Author(s).

ASJC Scopus Subject Areas

  • Statistics and Probability
  • Information Systems
  • Education
  • Computer Science Applications
  • Statistics, Probability and Uncertainty
  • Library and Information Sciences

PubMed: MeSH publication types

  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

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