Nature Communications · 2024 · 35 citations · 49 references
Life SciencesDevelopmental BiologyMolecular BiologyEmbryogenesisGene ExpressionTranscriptomicsCell-fate DynamicsCell-type-specific TranscriptomicsDevelopmental TranscriptomicsGene Expression DynamicsSingle-cell TranscriptomicsTemporal TranscriptomicsDegradation KineticsMaternal Mrna RegulationMaternal Rna DegradationRna Sequencing (Rna-seq)Single-cell Analysis Of EmbryosSingle-cell Rna SequencingSingle-cell Transcriptomics Of Early EmbryosTranscripts
During embryonic development, pluripotent cells assume specialized identities by adopting particular gene expression profiles. However, systematically dissecting the relative contributions of mRNA transcription and degradation to shaping those profiles remains challenging, especially within embryos with diverse cellular identities. Here, we combine single-cell RNA-Seq and metabolic labeling to capture temporal cellular transcriptomes of zebrafish embryos where newly-transcribed (zygotic) and pre-existing (maternal) mRNA can be distinguished. We introduce kinetic models to quantify mRNA transcription and degradation rates within individual cell types during their specification. These models reveal highly varied regulatory rates across thousands of genes, coordinated transcription and destruction rates for many transcripts, and link differences in degradation to specific sequence elements. They also identify cell-type-specific differences in degradation, namely selective retention of maternal transcripts within primordial germ cells and enveloping layer cells, two of the earliest specified cell types. Our study provides a quantitative approach to study mRNA regulation during a dynamic spatio-temporal response.
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Integrated analysis of multimodal single-cell data
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