Isoform-resolved transcriptome of the human preimplantation embryo.
Denis TorreNancy J FrancoeurYael KalmaIlana Gross CarmelBetsaida S MeloGintaras DeikusKimaada AlletteRon FlohrMaya FridrikhKonstantinos VlachosKent MadridHardik ShahYing-Chih WangShwetha H SridharMelissa L SmithEfrat EliyahuFoad AzemHadar AmirYoav MaysharIvan MarazziErnesto GuccioneEric E SchadtDalit Ben-YosefRobert P SebraPublished in: Nature communications (2023)
Human preimplantation development involves extensive remodeling of RNA expression and splicing. However, its transcriptome has been compiled using short-read sequencing data, which fails to capture most full-length mRNAs. Here, we generate an isoform-resolved transcriptome of early human development by performing long- and short-read RNA sequencing on 73 embryos spanning the zygote to blastocyst stages. We identify 110,212 unannotated isoforms transcribed from known genes, including highly conserved protein-coding loci and key developmental regulators. We further identify 17,964 isoforms from 5,239 unannotated genes, which are largely non-coding, primate-specific, and highly associated with transposable elements. These isoforms are widely supported by the integration of published multi-omics datasets, including single-cell 8CLC and blastoid studies. Alternative splicing and gene co-expression network analyses further reveal that embryonic genome activation is associated with splicing disruption and transient upregulation of gene modules. Together, these findings show that the human embryo transcriptome is far more complex than currently known, and will act as a valuable resource to empower future studies exploring development.
Keyphrases
- single cell
- genome wide
- rna seq
- endothelial cells
- dna methylation
- induced pluripotent stem cells
- poor prognosis
- high throughput
- gene expression
- copy number
- pregnant women
- transcription factor
- systematic review
- binding protein
- genome wide identification
- deep learning
- artificial intelligence
- machine learning
- cell proliferation
- signaling pathway
- small molecule
- genome wide analysis
- cerebral ischemia
- case control
- bioinformatics analysis
- protein protein