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Status |
Public on Jun 08, 2020 |
Title |
75_eIF4B_42C_16min |
Sample type |
SRA |
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Source name |
eIF4B_42C_16min
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Organism |
Saccharomyces cerevisiae |
Characteristics |
cell/ploidy type: haploid cells genotype/variation: eIF4B treatment: 42C molecule subtype: RNA crosslinked to protein
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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.
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Extracted molecule |
total RNA |
Extraction protocol |
The CRAC protocol is based on Tuck and Tollervey, 2013. Modifications are described in Bresson and Tollervey, 2020.
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Library strategy |
OTHER |
Library source |
transcriptomic |
Library selection |
other |
Instrument model |
Illumina NextSeq 500 |
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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
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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.
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Submission date |
Apr 06, 2020 |
Last update date |
Jun 09, 2020 |
Contact name |
Stefan Bresson |
E-mail(s) |
stefan.bresson@gmail.com
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Organization name |
University of Edinburgh
|
Department |
Wellcome Trust Centre for Cell Biology
|
Lab |
Tollervey Lab
|
Street address |
Max Born Crescent, Swann 5.1
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City |
Edinburgh |
State/province |
Scotland |
ZIP/Postal code |
EH9 3BF |
Country |
United Kingdom |
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Platform ID |
GPL19756 |
Series (1) |
GSE148166 |
Stress-induced translation inhibition through release of 40S scanning initiation factors |
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Relations |
BioSample |
SAMN14544725 |
SRA |
SRX8064922 |