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Sample GSM4872738 Query DataSets for GSM4872738
Status Public on Feb 22, 2021
Title 45_RZ_P
Sample type SRA
 
Source name yeast liquid culture
Organism Cryptococcus neoformans
Characteristics strain: var. grubii H99
genotype: mar1d
media: tissue_culture_media
rna sample number: 45
enrichment method: Ribo-Zero
library prep person: P
Treatment protocol Approximately 1 × 109 cells from each sample were pelleted, resuspended in fresh YPD medium or tissue culture media, and incubated at 30°C for 90 min with 150 rpm shaking.
Growth protocol Samples were prepared by growing each biological replicate of the WT and mar1d strain to mid-logarithmic growth phase in separate flasks of liquid YPD medium, with 150 rpm shaking.
Extracted molecule total RNA
Extraction protocol Cells were then pelleted, flash frozen on dry ice, and lyophilized for ~18 hours. Total RNA was isolated using the Qiagen RNeasy Plant Mini Kit (Qiagen, Valencia, CA); on-column DNase digestion was performed to eliminate contaminating genomic DNA. Total RNA quantity and quality were assessed using the Agilent 2100 Bioanalyzer. Purified RNA was subsequently stored at -80°C.
Purified total RNA was processed unenriched or was rRNA was depleted using either Ribo-Zero Yeast kit (Illumina), the NEBNext poly(A) mRNA Magnetic Isolation Module (New England Biolabs, Ipswich, MA), or the RNase H method with custom oligos. Ribo-Zero and RNase H treated RNA were then cleaned up with the RNA Clean & Concentrator-5 (Zymo Research) before library preparation. RNA-Seq libraries were prepared from these enriched samples and from unenriched control samples (i.e. “Unenriched”) using the NEBNext® Ultra™ II Directional RNA Library Prep with Sample Purification Beads (NEB #E7765) (New England Biolabs, Ipswich, MA).
 
Library strategy RNA-Seq
Library source transcriptomic
Library selection cDNA
Instrument model Illumina NextSeq 500
 
Data processing General read quality was evaluated using FastQC v0.11.5 and multiqc, version 1.9
Genome and GTF files were downloaded from Ensembl Fungi (release 39) and indexed using STAR_2.5.4b
FASTQs were filtered and trimmed using fastq-mcf v1.04.807 using paramteres “-q 20 -x 0.5” and the following adapter sequences, which were supplied by NEB, and their reverse complements: AGATCGGAAGAGCACACGTCTGAACTCCAGTCA and AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGT
Filtered and trimmed reads were mapped and counted using STAR_2.5.4b with these parameters: –runMode alignReads –outSAMtype None –quantMode GeneCounts –genomeLoad NoSharedMemory –twopassMode None –outFilterScoreMinOverLread 0 –outFilterMatchNminOverLread 0 –outFilterMatchNmin 0 –outFilterMismatchNmax 2
An Rmarkdown notebook containing the counting pipeline is available at https://github.com/granek-pubs/rna_enrichment/tree/master/geo_submission
Genome_build: GCA_000149245.3
Supplementary_files_format_and_content: Tab-delimited text files containing raw read counts per gene in STAR format. The appropriate counts are in column 4 (counts for the 2nd read strand aligned with RNA), because the directional reads were generated using the dUTP method
 
Submission date Oct 29, 2020
Last update date Feb 24, 2021
Contact name Joshua Aaron Granek
E-mail(s) joshua.granek@duke.edu
Organization name Duke University School of Medicine
Department Department of Biostatistics and Bioinformatics
Street address Box 3568, 213 Research Drive
City Durham
State/province NC
ZIP/Postal code 27710
Country USA
 
Platform ID GPL27451
Series (1)
GSE160397 Mar1 deletion and RNA enrichment in Cryptococcus neoformans: pilot data for a high-throughput sequencing course
Relations
BioSample SAMN16591756
SRA SRX9397522

Supplementary file Size Download File type/resource
GSM4872738_45_RZ_P_S49_L001_ReadsPerGene.out.tab.gz 49.1 Kb (ftp)(http) TAB
GSM4872738_45_RZ_P_S49_L002_ReadsPerGene.out.tab.gz 49.2 Kb (ftp)(http) TAB
GSM4872738_45_RZ_P_S49_L003_ReadsPerGene.out.tab.gz 49.3 Kb (ftp)(http) TAB
GSM4872738_45_RZ_P_S49_L004_ReadsPerGene.out.tab.gz 49.2 Kb (ftp)(http) TAB
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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