Evidence map›Paper›PMID 42260905›Full record

ArticleMolecular genetics & genomic medicine2026

Differential Transcriptome Analysis of Intrauterine UPD6pat Fetuses With Distinct Phenotypes.

Jiahui Yu, Yan Zhang, Wenlong Shen, Jun Ying, Huanzheng Li, Xiaohua Tang, Xujun He

Abstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jiahui YuLaboratory Medicine Center, Department of Genetic and Genomic Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Yan ZhangLaboratory Medicine Center, Department of Genetic and Genomic Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Wenlong ShenLaboratory Medicine Center, Department of Genetic and Genomic Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Jun YingLaboratory Medicine Center, Department of Genetic and Genomic Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.
Huanzheng LiKey Laboratory of Birth Defects, Wenzhou Central Hospital, Wenzhou, China.ORCID https://orcid.org/0000-0003-4625-3057
Xiaohua TangLaboratory Medicine Center, Department of Genetic and Genomic Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.ORCID https://orcid.org/0000-0001-9079-5027
Xujun HeLaboratory Medicine Center, Department of Genetic and Genomic Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, China.ORCID https://orcid.org/0000-0002-6979-2072

Funding

Medicine and Health Research Foundation of Zhejiang Province 2021KY446Medicine and Health Research Foundation of Zhejiang Province 2022KY023Natural Science Foundation of Zhejiang Province LY22H160039Zhejiang Traditional Chinese Medicine Science and Technology Plan 2021ZB022
6 · The paper itself

Abstract

objectiveUniparental disomy of chromosome 6, typically paternal in origin (UPD6pat), results in significant phenotypic variability across different cases. This study integrates transcriptome-wide profiling of amniotic fluid cell-free RNA (cfRNA) with molecular diagnostics to elucidate the gene expression landscape and pathway dysregulation in two phenotypically distinct UPD6pat cases.

methodsRNA sequencing (RNA-seq) was performed on amniotic fluid supernatants from two UPD6pat fetuses and two gestational age-matched controls.

resultsDifferential expression analysis revealed 372 significantly dysregulated genes (242 upregulated and 130 downregulated; p < 0.05, |logFC| ≥ 0.5) enriched in pathways related to glucose metabolism, neurodegenerative diseases, and cellular processes. Gene set enrichment analysis (GSEA) further highlighted UPD6pat-associated perturbations in type 1 diabetes and glycosylphosphatidylinositol biosynthesis pathways. Phenotype-specific analysis revealed opposing expression trends in growth restriction genes and clubfoot-related genes (EP300 and CHD7), with protein-protein interaction (PPI) networks implicating epigenetic modulation and cytoskeletal dynamics as potential drivers of phenotypic divergence.

conclusionDespite limitations in sample size, our findings underscore the utility of amniotic fluid cfRNA analysis as a noninvasive tool for prenatal diagnostics and highlight novel targets for further functional validation.

Indexed as

PhenotypeTranscriptomeUniparental DisomyAmniotic FluidFemaleFetusGene Expression ProfilingHumansPregnancyamniotic fluid transcriptomicscell‐free‐RNAprenatal diagnosticsRNA sequencinguniparental disomy

Identifiers

PMID42260905
PMCPMC13247139

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.