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SRX19338052: GSM7039254: IMR90 cells, Oncogene Induced Senesence (OIS), replicate 1,Ribo-seq; Homo sapiens; RNA-Seq
1 ILLUMINA (Illumina NovaSeq 6000) run: 59.2M spots, 8.9G bases, 2.9Gb downloads

External Id: GSM7039254_r1
Submitted by: Laboratory of Histology-Embryology Molecular Carcinogenesis Group, Medicine, University of Athens
Study: Decoding of translation-regulating entities reveals heterogeneous translation deficiency patterns in cellular senescence
show Abstracthide Abstract
Cellular senescence constitutes a generally irreversible proliferation barrier, accompanied by macromolecular damage and metabolic rewiring. Several senescence types have been identified based on the initiating stimulus, such as replicative (RS), stress-induced (SIS) and oncogene-induced senescence (OIS). Reduced protein synthesis is considered a senescence hallmark, but whether this trait pertains to various senescence subtypes and if distinct molecular mechanisms are involved remain largely unknown. Here, we analyze large published or experimentally produced RNA-seq and Ribo-seq datasets to determine whether major translation-regulating entities such as ribosome stalling, the presence of uORFs/dORFs and IRES elements may differentially contribute to translation deficiency in senescence subsets. We show that translation-regulating mechanisms may not be directly relevant to RS, however uORFs are significantly enriched in SIS. Interestingly, ribosome stalling, uORF/dORF patterns and IRES elements comprise predominant mechanisms upon OIS, strongly correlating with Notch pathway activation. Our study provides for the first time evidence that major translation dysregulation mechanisms/patterns occur during cellular senescence, but at different rates depending on the stimulus type. The degree at which those mechanisms accumulate directly correlates with translation deficiency levels. Our thorough analysis contributes to elucidating crucial and so far unknown differences in the translation machinery and ribosome biogenesis between senescence subsets. Overall design: Translation efficiency changes upon different senescent stimuli versus normal proliferating conditions in IMR 90 cell line
Sample: IMR90 cells, Oncogene Induced Senesence (OIS), replicate 1,Ribo-seq
SAMN33259515 • SRS16734818 • All experiments • All runs
Organism: Homo sapiens
Library:
Name: GSM7039254
Instrument: Illumina NovaSeq 6000
Strategy: RNA-Seq
Source: TRANSCRIPTOMIC
Selection: cDNA
Layout: SINGLE
Construction protocol: Cells were harvested 14 days post senescence induction. Growth media was removed, and the cells were washed with cold PBS containing 100 μg/ml of cycloheximide. Cells were subsequently scraped and pelleted, and later stored at -80°C until they were dispatched for sequencing. Stranded mRNA-seq libraries were generated from flash frozen cell pellets. Cell pellets were lysed in ice-cold polysome lysis buffer (20mM Tris pH 7.5, 150mM NaCl, 5mM MgCl2,1mM DTT, 1% Triton X-100) supplemented with cycloheximide (100µg/mL). For stranded mRNA-seq, total RNA was extracted from 10% of lysate using TRIzol, before mRNA was poly(A)-enriched, fractionated, and converted into Illumina compatible cDNA libraries. Stranded mRNA-seq libraries were sequenced 150PE on Illumina's Nova-seq 6000 platform to depths of 20 million raw read pairs per sample. For Ribo-seq, the remaining lysates which were not used for RNA-seq were RNase- treated before ribosomes were enriched by size exclusion chromatography using MicroSpin S-400 HR columns. Following RNA purification and size selection of ribosome protected mRNA fragments on 15% urea PAGE gels, contaminating rRNA was depleted from samples using EIRNA Bio's custom biotinylated rRNA depletion oligos before the enriched fragments were converted into Illumina compatible cDNA libraries. Ribo-seq libraries were sequenced 150PE on Illumina's Nova-seq 6000 platform to a depth of 100 million raw read pairs per sample. The sequence structure of these reads is as follows: • UUUUUUUUUUUU - QQQQ - rpf sequence - NNNNN - BBBBB – AGATCGGAAGAGCACACGTCTGAA • The first 12nt are unique molecular identifiers (UMIs) (can be any 12 nt). • The next 4nt are untemplated additions (Usually C or G). • The read begins with the sequence of interest. • The next 5nt are unique molecular identifiers (UMIs) (can be any 5 nt). • The next 5nt are the Barcode used to demultiplex (the fastq files have already been demultiplexed). • The adapter sequence – AGATCGGAAGAGCACACGTCTGAA
Runs: 1 run, 59.2M spots, 8.9G bases, 2.9Gb
Run# of Spots# of BasesSizePublished
SRR2341816959,163,0018.9G2.9Gb2023-08-31

ID:
26589351

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