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Series GSE165294 Query DataSets for GSE165294
Status Public on Jan 23, 2021
Title Transcriptomic response of Cryptococcus neoformans to ecologically relevant nitrogen concentrations
Organism Cryptococcus neoformans
Experiment type Expression profiling by high throughput sequencing
Summary We examine the transcriptomic response of Cryptococcus neoformans to two different ecologically relevant nitrogen concentrations. Our data revealed that low nitrogen conditions modulate the expression of numerous virulence genes in C. neoformans. Among these were, CTR4 and CGP1, which showed highly significant modulation under low nitrogen conditions. Furthermore, data analysis revealed the upregulation of antifungal tolerance-related genes in low nitrogen conditions, including genes involved in ergosterol biosynthetic processes and cell wall integrity. Overall, our findings provide insight into the survival of C. neoformans in nitrogen-poor ecological niches and suggest that pre-adaptation to these conditions may influence the pathobiology of this yeast.
 
Overall design Examination of the C. neoformans transcriptome during growth in high and low nitrogen conditions
 
Contributor(s) Bosch C, Bhana Z, Toplis B, Volschenk H, Botha A
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Submission date Jan 22, 2021
Last update date Jan 23, 2021
Contact name Caylin Bosch
E-mail(s) 18344666@sun.ac.za
Organization name Stellenbosch University
Department Microbiology
Street address JC Smuts Building, Van der Byl road
City Stellenbosch
State/province Western Cape
ZIP/Postal code 7600
Country South Africa
 
Platforms (1)
GPL29638 Ion Torrent S5 (Cryptococcus neoformans)
Samples (16)
GSM5029527 LN37A - replicate 1
GSM5029528 LN37B - replicate 2
GSM5029529 LN37C - replicate 3
Relations
BioProject PRJNA694029
SRA SRP302835

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE165294_L30_vs_H30_deseq_results.txt.gz 298.1 Kb (ftp)(http) TXT
GSE165294_L37_vs_H37_deseq_results.txt.gz 294.5 Kb (ftp)(http) TXT
GSE165294_raw_gene_count_matrix.txt.gz 232.3 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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