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Series GSE185732 Query DataSets for GSE185732
Status Public on Feb 06, 2023
Title Single cell quantification of ribosome occupancy in early mouse development
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Other
Summary 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.
 
Overall design To study translation in mouse development, we performed our novel low-input ribosome profiling method (named Ribo-ITP) and RNA sequencing (Smart-seq3) in mouse oocytes and early stage embryos. To validate our method, we performed Ribo-ITP and conventional ribosome profiling using human K562 cells.
Ribosome profiling by isotachophoresis (Ribo-ITP) of single K562 cells
 
Contributor(s) Ozadam H, Tonn T, Han C, Segura A, Hoskins I, Rao S, Ghatpande V, Tran D, Catoe D, Salit M, Cenik C
Citation(s) 37344592
Submission date Oct 12, 2021
Last update date Sep 11, 2023
Contact name Can Cenik
E-mail(s) ccenik@austin.utexas.edu
Phone 512-232-2874
Organization name The University of Texas at Austin
Department Molecular Biosciences
Lab Cenik
Street address Moffett Molecular Biology Building 2.122 2500 Speedway
City Austin
State/province TX
ZIP/Postal code 78712
Country USA
 
Platforms (3)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
Samples (58)
GSM5622908 Conventional-Ribo-10Mcell-1
GSM5622909 Conventional-Ribo-10Mcell-2
GSM5622910 Conventional-Ribo-10Mcell-3
Relations
BioProject PRJNA770650
SRA SRP341033

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE185732_cds_counts.csv.gz 563.2 Kb (ftp)(http) CSV
GSE185732_human_100cell_v1.ribo.hdf5 21.1 Mb (ftp)(http) HDF5
GSE185732_human_10M_v1.ribo.hdf5 20.4 Mb (ftp)(http) HDF5
GSE185732_human_1cell_v4.ribo.hdf5 22.4 Mb (ftp)(http) HDF5
GSE185732_mouse-itp_v6.ribo.hdf5 124.4 Mb (ftp)(http) HDF5
GSE185732_processed_data_file_mapping.xlsx 9.8 Kb (ftp)(http) XLSX
GSE185732_riboITP_RiboFlow_stats.csv.gz 3.2 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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