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Sample GSM6696314 Query DataSets for GSM6696314
Status Public on Feb 07, 2023
Title Ribo_WT_Replicate_1
Sample type SRA
 
Source name Whole cells
Organism Saccharomyces cerevisiae
Characteristics genotype: W303 F2147 (MATa ade2-1 ura3-1 his3-11,15 trp1-1 leu2-3,112 can1-100)
Extracted molecule polyA RNA
Extraction protocol Ribosome profiling (Rnase I footprinting, size selection, RNA extraction, preadenylated linker ligation, reverse transcription, cDNA circularization, PCR amplification) was done as described in "Reprogramming of translation in yeast cells impaired for ribosome recycling favors short, efficiently translated mRNAs" Gaikwad, Ghobakhlou, et al. eLife 2021;10:e64
 
Library strategy OTHER
Library source transcriptomic
Library selection other
Instrument model Illumina HiSeq 2500
 
Data processing As described earlier (Martin-Marcos et al. 2017), Illumina sequencing reads were trimmed to remove the constant adapter sequence, mixed sample sequences were separated by the sample barcodes followed by removal of PCR duplicates using a custom Python (3.7) script. The sequences aligned to yeast non-coding RNAs were removed using bowtie (Langmead et al., 2009) and non-rRNA reads (unaligned reads) were then mapped to the S. cerevisiae genome (R64-1-1 S288C Saccer3 Genome Assembly) using TopHat (Trapnell et al., 2009). Only uniquely mapped reads from the final genomic alignment were used for subsequent analyses. Normalized wiggle files and reads counts are generated with RiboSeq tools (https://github.com/hzhanghenry/RiboProR). For RNA-seq, the same protocol mentioned above for ribo-seq analysis was followed.
The sequenced CAGE reads of each sample were aligned to the reference genome of S. cerevisiae S288c (Assembly version: sacCer3) using HISAT2. CAGE reads mapped to rRNA genes were identified using rRNAdust (http://fantom.gsc.riken.jp/5/sstar/Protocols:rRNAdust), and were excluded from subsequent TSS analyses. CAGE reads with a mapping quality score (MAPQ) > 20 were considered uniquely mapped reads and were used for subsequent analyses. CAGE signals of biological replicates were then merged as a single sample. The transcription abundance of each TSS was quantified as the numbers of CAGE tags/reads supporting the TSS per million mapped reads (TPM). For RNA-Seq samples in parallel with CAGE-Seq, Fastq files after passing the QC and the adapter content check they were mapped to yeast genome (sacCer3) with STAR aligner, then PCR duplicates were removed by samtools.
Assembly: sacCer3
Supplementary files format and content: Processed data (csv) files contain raw reads for each file. For ribosome profiling and parallel RNA-Sequencing, Raw_counts_Ribo (Ribo-sequencing) and Raw_counts_RNA (RNA-sequencing), each file contains five columns providing: systemmatic gene name (Gene_ID), total reads (trx), reads in CDS, reads in 5' UTR and reads in 3' UTR. Foe CAGE-sequencing and parallel RNA-Sequencing, each file contains two columns providing: systemmatic gene name (Gene_ID), total reads.
Library strategy: Ribosome profiling
 
Submission date Oct 28, 2022
Last update date Feb 07, 2023
Contact name Alan G Hinnebusch
E-mail(s) [email protected]
Organization name National Institutes of Health
Department Eunice Kennedy Shriver National Institute of Child Health and Human Development
Lab Section on Nutrient Control of Gene Expression
Street address 6 Center Drive
City Bethesda
State/province Maryland
ZIP/Postal code 20892
Country USA
 
Platform ID GPL17342
Series (1)
GSE216831 Decapping factor Dcp2 controls mRNA abundance and translation to adjust metabolism and filamentation to nutrient availability
Relations
BioSample SAMN31510074
SRA SRX18065582

Supplementary file Size Download File type/resource
GSM6696314_RawCounts_Ribo_WT_Replicate_1.csv.gz 36.8 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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