Uncultured Amniocytes Enable Rapid and Clinically Informative Prenatal RNA Sequencing for Genetic Diagnosis

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Authors: Jianqin Lu, Qingqing Ge, Huanyi Chen, Xinyi Zhao, Xiang Zhou, Ruibin Huang, Hang Zhou, Qiuxia Yu, Simin Yuan, Manqiu Yang, Ru Li, D Li
+2 more Fang Fu, C Liao
Cited by: 1
References: 67

Abstract

RNA sequencing (RNA-seq) provides transcript-level evidence for interpreting variants of uncertain significance in monogenic disorders, but its prenatal application is limited by sample availability and processing time. This study evaluated uncultured amniocytes as a practical substrate for prenatal RNA-seq. We performed RNA-seq on 15 matched paired cultured and uncultured amniocyte samples and compared their transcriptomic profiles using principal component analysis, differential expression analysis, and pathway enrichment. We then analyzed 77 uncultured amniocyte samples collected between 16+6 and 29+6 weeks of gestation to disease-related gene expression coverage and gestational-age-associated variation. Five selected cases were further analyzed to evaluate transcript-level findings relevant to variant interpretation. Cultured and uncultured amniocytes showed distinct transcriptomic profiles, with 11,234 differentially expressed genes and culture-associated transcriptional and pathway changes. Uncultured amniocytes expressed an average of 63.4% of genes across disease-associated panels, and most disease-related genes were consistently expressed across gestational stages, although stage-associated differences in gene detectability were observed. In selected cases, uncultured amniocyte RNA-seq detected aberrant expression, aberrant splicing, allelic imbalance, and expressed sequence variants. These findings support the feasibility of prenatal RNA-seq using uncultured amniocytes and further evaluation of this approach as a complementary functional assay for prenatal variant interpretation.

Fields of Study & Subjects

Prenatal Screening and Diagnostics Genomic variations and chromosomal abnormalities Genomics and Rare Diseases

Publication details

Journal / source
International Journal of Molecular Sciences
Publisher
MDPI AG
Volume
27
Issue
14
Pages
6465–6465
Publication date
21 July 2026
Language
EN