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

The human placenta is the composite of multiple cell types, each which contributes uniquely to placental function. Small non-coding RNAs (sncRNAs) are regulators of gene expression and can be cell-specific. The sncRNA transcriptome of individual placental cell types has not yet been investigated due to difficulties in their procurement and isolation. Using a custom sequencing method, we explored the expression of seven sncRNA species (miRNA, piRNA, rRNA, scaRNA, snRNA, snoRNA, tRNA) from whole chorionic villi and four major sample-matched FACS-sorted cell type (cytotrophoblast, stromal, endothelial, Hofbauer) samples from 9 first trimester and 17 term placentas. After normalization for technical variables, samples clustered primarily by cell type lineage. No sncRNAs were uniquely expressed by cell type, however, mean expression differed by cell type for 115 sncRNAs. Known placentally-expressed sncRNAs showed differing expression by cell type and trimester. Expression of few sncRNAs varied by sex. Lastly, sample-matched sncRNA expression and DNA methylation correlation was not significant, although high correlation (> R<sup>2</sup> ± 0.6) was observed for some sncRNA-CpG pairs. This study represents the first exploration of the sncRNA transcriptome of bulk placental villi and placental cell types, informing about the expression and regulatory patterns underlying human placental development.

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Publication Details

Journal
Scientific Reports
Published
2025-04-26
DOI
https://doi.org/10.1038/s41598-025-98939-4
Citations
3
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
2.81

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article

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

Wan L. Lam, Greg L. Stewart, Victor Yuan, Nikita Telkar et al.
3 citations
Scientific Reports
Cancer-related molecular mechanisms research
2.81
article

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

Wan L. Lam, Greg L. Stewart, Victor Yuan, Nikita Telkar, Maria S. Peñaherrera, Victor D. Martínez, Alexander G. Beristain, Wendy P. Robinson, Desmond Hui
article en
3 citations

Abstract

The human placenta is the composite of multiple cell types, each which contributes uniquely to placental function. Small non-coding RNAs (sncRNAs) are regulators of gene expression and can be cell-specific. The sncRNA transcriptome of individual placental cell types has not yet been investigated due to difficulties in their procurement and isolation. Using a custom sequencing method, we explored the expression of seven sncRNA species (miRNA, piRNA, rRNA, scaRNA, snRNA, snoRNA, tRNA) from whole chorionic villi and four major sample-matched FACS-sorted cell type (cytotrophoblast, stromal, endothelial, Hofbauer) samples from 9 first trimester and 17 term placentas. After normalization for technical variables, samples clustered primarily by cell type lineage. No sncRNAs were uniquely expressed by cell type, however, mean expression differed by cell type for 115 sncRNAs. Known placentally-expressed sncRNAs showed differing expression by cell type and trimester. Expression of few sncRNAs varied by sex. Lastly, sample-matched sncRNA expression and DNA methylation correlation was not significant, although high correlation (> R<sup>2</sup> ± 0.6) was observed for some sncRNA-CpG pairs. This study represents the first exploration of the sncRNA transcriptome of bulk placental villi and placental cell types, informing about the expression and regulatory patterns underlying human placental development.

Scientific ReportsVol. 15(1)
BC Cancer Agency (CA), Dalhousie University (CA), University of British Columbia (CA), Izaak Walton Killam Health Centre (CA), Beatrice Hunter Cancer Research Institute (CA), BC Children's Hospital (CA)
BC Children's Hospital, University of British Columbia, National Institutes of Health, Canadian Institutes of Health Research
Zero hunger
Openalex Percentile: Top 10%
Cancer-related molecular mechanisms research
2.81
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