NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE122785 Query DataSets for GSE122785
Status Public on Jun 28, 2019
Title Unveil the transcriptional landscape at the Cryptococcus-host axis in mice and nonhuman primates
Organisms Macaca fascicularis; Mus musculus; Cryptococcus neoformans var. grubii H99
Experiment type Expression profiling by high throughput sequencing
Summary Pathogens and hosts require rapid modulation of virulence and defense mechanisms at the infection axis, but monitoring such modulations is challenging. In studying the human fungal pathogen Cryptococcus neoformans, mouse and rabbit infection models are often employed to shed light on the disease mechanisms but that may not be clinically relevant. In this study, we developed an animal infection model using the non-human primate cynomolgus monkey Macaca fascicularis. In addition, we systematically profiled and compared transcriptional responses between the infected mice and the cynomolgus monkey, using simultaneous or dual RNA next-generation sequencing. We demonstrated that there are shared but distinct transcriptional profiles between the two models following C. neoformans infection. Specifically, genes involved in immune and inflammatory responses are all upregulated. Osteoclastogenesis and insulin signaling are also significantly co-regulated in both models and disrupting an osteoclastogenesis-associated gene (OC-STAMP) or the insulin-signaling process significantly altered the host tolerance to C. neoformans. Moreover, C. neoformans was shown to activate metal sequestration, dampen the sugar metabolism, and control cell morphology during infection. Taking together, we described the development of a non-human primate model of cryptococcosis that allowed us to perform an in-depth analysis and comparison of transcriptome profiles during infections of two animal models and conceptually identify host genes important in disease responses. This study provides new insights in understanding fungal pathogenesis mechanisms that potentially facilitate the identification of novel drug targets for the treatment of cryptococcal infection.
 
Overall design The paired-end dual RNA-seq was performed between Cryptococcus neoformans H99 and the rodent and primate host using three biological triplicates.
 
Contributor(s) Ding C, Li H, Li Y
Citation(s) 31329596, 35621025
Submission date Nov 20, 2018
Last update date Jun 23, 2022
Contact name Li Hailong
E-mail(s) lihailong1166@gmail.com
Organization name Northeastern University
Street address NO. 3-11, Wenhua Road, Heping District
City ShenYang
State/province Liaoning
ZIP/Postal code 110001
Country China
 
Platforms (5)
GPL19057 Illumina NextSeq 500 (Mus musculus)
GPL22523 Illumina NextSeq 500 (Macaca fascicularis)
GPL24689 Illumina NextSeq 500 (Cryptococcus neoformans var. grubii H99)
Samples (21)
GSM3485366 F0C
GSM3485367 F0E
GSM3485368 F0F
Relations
BioProject PRJNA506308
SRA SRP169992

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
GSE122785_RAW.tar 2.2 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap