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Single cell quantification of ribosome occupancy in early mouse development

ABSTRACT: Technological limitations precluded transcriptome-wide analyses of translation at single cell resolution. To solve this challenge, we developed a novel microfluidic isotachophoresis approach, named RIBOsome profiling via IsoTachoPhoresis (Ribo-ITP), and characterized translation in single oocytes and embryos during early mouse development. We identified differential translation efficiency as a key regulatory mechanism of genes involved in centrosome organization and N6-methyladenosine modification of RNAs. Our high coverage measurements enabled the first analysis of allele-specific ribosome engagement in early development and led to the discovery of stage-specific differential engagement of zygotic RNAs with ribosomes and reduced translation efficiency of transcripts with allelic-biased expression. Finally, by integrating our measurements with proteomics data, we discovered that ribosome occupancy in germinal vesicle stage oocytes is the predominant determinant of protein abundance in the zygote. The novel Ribo-ITP approach will enable numerous applications by providing high coverage and high resolution ribosome occupancy measurements from ultra-low input samples including single cells.

ORGANISM(S): Mus musculus Homo sapiens

PROVIDER: GSE185732 | GEO | 2023/02/06

REPOSITORIES: GEO

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tsRibo-Seq: An Approach to Zoom In into Translation of Single Transcripts

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Project description:Purpose: The goal of this study is to characterize the role of hnRNP C in translation regulation of a specific set of mRNAs during mitosis. Methods: mitotic HeLa S3 cells expressing a Dox-inducible shRNA against hnRNP C were used and profiles of total mRNAs and ribosome footprints (RFs) of either untreated (wild type) cells or hnRNP C-knockdown cells were generated by deep sequencing, using Illumina HiSeq 2500. The sequence reads that passed quality filters were aligned to a reference set of human curated protein‐coding transcripts (plus the five human rRNA transcripts) using bowtie2. Expression estimates were further normalized using quantile normalization. qRT–PCR validation was performed using SYBR Green assays. Results: RNA‐seq and Ribo/RF‐seq datasets were combined according to gene ID. Only genes with expression level of at least 1.0 RPKM in both datasets were included in subsequent analyses. The combined dataset includes 10,996 genes. Transcripts encoding components of the translation machinery (Gene Ontology Biological Process [GOBP] “Translation” annotation) show reduced ribosome occupancy during mitosis under hnRNP C knockdown (p-value = 1.07 x 10-13) although their total mRNA levels are increased (p-value = 1.78 x 10-5). Translation efficiency (TE) calculations of ribosome occupancy per mRNA level showed a statistically-significant reduction for mRNAs encoding ribosomal proteins (Gene Ontology Cellular Compartment [GOCC] “Ribosome” annotation; p-value = 9.92 x 10-12). In particular, the TE of 5’ TOP-containing mRNAs was found to be significantly reduced under hnRNP C knockdown (p-value = 5.16 x 10-4). Conclusions: Our study represents the first detailed analysis of the translation effeciency of mRNAs in wild type and hnRNP C knockdown HeLa S3 cells during mitosis using RNA-Seq and Ribo-Seq. Our results show that the translation of a specific subset of mRNAs (5' TOP mRNAs) is regulated by hnRNP C in mitosis.

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