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Series GSE128306 Query DataSets for GSE128306
Status Public on Jul 20, 2020
Title Adaptation to low parasite abundance affects immune investment and immunopathological responses of cavefish
Organism Astyanax mexicanus
Experiment type Expression profiling by high throughput sequencing
Summary Reduced parasitic infection rates in the developed world are suspected to underlie the rising prevalence of autoimmune disorders. However, the long-term evolutionary consequences of decreased parasite exposure on an immune system are not well understood. We used the Mexican tetra Astyanax mexicanus to understand how loss of parasite diversity influences the evolutionary trajectory of the vertebrate immune system, by comparing river with cave morphotypes. Here, we present field data affirming a strong reduction in parasite diversity in the cave ecosystem, and show that cavefish immune cells display a more sensitive pro-inflammatory response towards bacterial endotoxins. Surprisingly, other innate cellular immune responses, such as phagocytosis, are drastically decreased in cavefish. Using two independent single-cell approaches, we identified a shift in the overall immune cell composition in cavefish as the underlying cellular mechanism, indicating strong differences in the immune investment strategy. While surface fish invest evenly into the innate and adaptive immune systems, cavefish shifted immune investment to the adaptive immune system, and here, mainly towards specific T-cell populations that promote homeostasis. Additionally, inflammatory responses and immunopathological phenotypes in visceral adipose tissue are drastically reduced in cavefish. Our data indicate that long-term adaptation to low parasite diversity coincides with a more sensitive immune system in cavefish, which is accompanied by a reduction in the immune cells that play a role in mediating the pro-inflammatory response.
Overall design singel cell level study to compare cavefish and surfacefish hematopoietic system difference
Contributor(s) Peuß R, Box AC, Chen S, Wang Y, Tsuchiya D, Persons JL, Kenzior A, Maldonado E, Krishnan J, Scharsack JP, Slaughter BD, Rohner N
Citation(s) 32690906
Submission date Mar 14, 2019
Last update date Jul 27, 2020
Contact name Shiyuan (Cynthia) Chen
Organization name Stowers Institute for Medical Research
Department Computational Biology
Street address 1000 E 50th St
City Kansas City
State/province MO
ZIP/Postal code 64110
Country USA
Platforms (2)
GPL24492 Illumina HiSeq 2500 (Astyanax mexicanus)
GPL27942 Illumina NovaSeq 6000 (Astyanax mexicanus)
Samples (10)
GSM3671073 Cavefish_singlecell_10x
GSM3671074 Surfacefish_singlecell_10x
GSM4227524 Pachon_LPS_R1
BioProject PRJNA527091
SRA SRP188431

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Supplementary file Size Download File type/resource
GSE128306_RAW.tar 160.6 Mb (http)(custom) TAR (of H5)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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