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Status |
Public on Sep 15, 2024 |
Title |
Multiomic-based Immune Response Profiling in Migraine, Vestibular Migraine and Meniere's Disease [scATAC-Seq] |
Organism |
Homo sapiens |
Experiment type |
Genome binding/occupancy profiling by high throughput sequencing
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Summary |
We analysed the immune profile of individuals with MI, VM, and MD using scRNAseq and scATACseq in PBMCs and to determine active biochemical pathways to identify new potential druggable molecular targets
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Overall design |
Blood samples were obtained from 24 Spanish participants with no diagnosed allergies or autoimmune diseases (eight patients with Meniere's Disease(MD), five with Vestibular Migraine (VM), five with Migraine (MI), and six healthy controls (HC)).
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Contributor(s) |
Antonio Lopez-Escamez J, Cruz-Granados P |
Citation missing |
Has this study been published? Please login to update or notify GEO. |
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Submission date |
Jun 05, 2024 |
Last update date |
Sep 16, 2024 |
Contact name |
Jose Antonio Lopez-Escamez |
E-mail(s) |
jose.lopezescamez@sydney.edu.au
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Phone |
61423066010
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Organization name |
The University of Sydney
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Department |
Faculty of Medicine & Health, School of Medical Sciences, The Kolling Institute
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Lab |
Meniere Disease Neuroscience Lab
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Street address |
10 Westbourne St
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City |
St Leonards |
State/province |
NSW |
ZIP/Postal code |
2064 |
Country |
Australia |
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Platforms (1) |
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Samples (24)
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GSM8306535 |
VM4, scATACseq |
GSM8306536 |
HC5, scATACseq |
GSM8306537 |
HC6, scATACseq |
GSM8306538 |
MI7, scATACseq |
GSM8306539 |
MI8, scATACseq |
GSM8306541 |
MD9, scATACseq |
GSM8306543 |
MD10, scATACseq |
GSM8306544 |
MD11, scATACseq |
GSM8306545 |
MD12, scATACseq |
GSM8306546 |
VM13, scATACseq |
GSM8306547 |
MI14, scATACseq |
GSM8306548 |
MD15, scATACseq |
GSM8306549 |
MI16, scATACseq |
GSM8306550 |
MD17, scATACseq |
GSM8306551 |
MD18, scATACseq |
GSM8306552 |
HC19, scATACseq |
GSM8306553 |
HC20, scATACseq |
GSM8306554 |
HC21, scATACseq |
GSM8306555 |
HC22, scATACseq |
GSM8306556 |
MI23, scATACseq |
GSM8306557 |
MD24, scATACseq |
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Relations |
BioProject |
PRJNA1120339 |
Supplementary file |
Size |
Download |
File type/resource |
GSE269114_RAW.tar |
4.9 Gb |
(http)(custom) |
TAR (of BED, CSV, TBI, TSV) |
SRA Run Selector |
Raw data are available in SRA |
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