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Sample GSM4455410 Query DataSets for GSM4455410
Status Public on Jun 08, 2020
Title 75_eIF4B_42C_16min
Sample type SRA
 
Source name eIF4B_42C_16min
Organism Saccharomyces cerevisiae
Characteristics cell/ploidy type: haploid cells
genotype/variation: eIF4B
treatment: 42C
molecule subtype: RNA crosslinked to protein
Growth protocol For CRAC experiments (07-99), cells were cultured in SC -TRP medium containing 2% glucose to 0.4 OD. For the 'control', cells were then subjected to 100 mJ of 254nm UV-crosslinking (4-6 seconds), collected by filtration, resuspended in 50 mL of ice cold PBS, centrifuged to pellet, and frozen at -80°C. For all other conditions, cells at 0.4 OD were first collected by filtration, then transferred to the appropriate medium and cultured for either 30 seconds or 16 minutes prior to UV-crosslinking. All subsequent harvesting steps were identical to the control. For RNAseq experiments (A-F), we used the same approach as for CRAC but without the crosslinking step.
Extracted molecule total RNA
Extraction protocol The CRAC protocol is based on Tuck and Tollervey, 2013.
Modifications are described in Bresson and Tollervey, 2020.
 
Library strategy OTHER
Library source transcriptomic
Library selection other
Instrument model Illumina NextSeq 500
 
Description 75_eIF4B_42C_16min_NNNTCTCTAGC
processed data file:
23_56_75_98_eIF4B_42C_16min_merged_minus_strand.bedgraph
23_56_75_98_eIF4B_42C_16min_merged_plus_strand.bedgraph
Data processing library strategy: CRAC-seq
Demultiplexing. Command: pyBarcodeFilter.py -f raw_file.fastq -b barcodes_file.txt
Adapter stripping and quality control. Command: flexbar -r file.fastq -a adapters.txt -ao 4 -m 11 -at RIGHT -u 2 -q TAIL -qf i1.8
Collapsing. Command: pyFastqDuplicateRemover.py -f file.fastq (Note that this step was used only for the CRAC analysis. RNAseq files were not collapsed)
Removal of low-complexity reads. Command: bbduk.sh in=file.fasta entropy=0.5 entropywindow=10 entropyk=6
Alignment. Command: novoalign -f file.fasta -r Random -o SAM -d genome.novoindex
samtools view -bS file.sam
samtools sort file.bam
Bedgraph files (+ strand). Command: bedtools genomecov -split -strand + -ibam sorted_file.bam -bg -scale variable > file_plus_strand.bedgraph
Bedgraph files (- strand). Command: bedtools genomecov -split -strand - -ibam sorted_file.bam -bg -scale variable > file_minus_strand.bedgraph
Read counting. Command: pyReadCounters.py -f file.bam --file_type=bam --sense --gtf=annotation_file.gtf
Genome_build: Saccharomyces cerevisiae EF4.74 with the introns artificially removed to improve mapping
Supplementary_files_format_and_content: The .txt files (generated using pyReadCounters.py) contain information on the number of reads mapping to each transcript. The bedgraph files show the distribution of reads across the genome. Individual replicates were merged into a single file to generate the bedgraph files.
 
Submission date Apr 06, 2020
Last update date Jun 09, 2020
Contact name Stefan Bresson
E-mail(s) stefan.bresson@gmail.com
Organization name University of Edinburgh
Department Wellcome Trust Centre for Cell Biology
Lab Tollervey Lab
Street address Max Born Crescent, Swann 5.1
City Edinburgh
State/province Scotland
ZIP/Postal code EH9 3BF
Country United Kingdom
 
Platform ID GPL19756
Series (1)
GSE148166 Stress-induced translation inhibition through release of 40S scanning initiation factors
Relations
BioSample SAMN14544725
SRA SRX8064922

Supplementary file Size Download File type/resource
GSM4455410_75_eIF4B_42C_16min_hittable_reads.txt.gz 34.9 Kb (ftp)(http) TXT
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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