Multiomic-based Immune Response Profiling in Migraine, Vestibular Migraine and Meniere's Disease
Single-cell RNA-seq · human · 24 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 24 samples: 24 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Multiomic-based immune response profiling in migraine, vestibular migraine and Meniere's diseaseImmunology · 2024
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE269117_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1120340 and SRA study SRP511919. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 24 sample titles: 24 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM8306593 VM1, scRNAseq
- GSM8306594 VM2, scRNAseq
- GSM8306595 VM3, scRNAseq
- GSM8306596 VM4, scRNAseq
- GSM8306597 HC5, scRNAseq
- GSM8306598 HC6, scRNAseq
- GSM8306599 MI7, scRNAseq
- GSM8306600 MI8, scRNAseq
- GSM8306601 MD9, scRNAseq
- GSM8306602 MD10, scRNAseq
- GSM8306603 MD11, scRNAseq
- GSM8306604 MD12, scRNAseq
- GSM8306605 VM13, scRNAseq
- GSM8306606 MI14, scRNAseq
- GSM8306607 MD15, scRNAseq
- GSM8306608 MI16, scRNAseq
- GSM8306609 MD17, scRNAseq
- GSM8306610 MD18, scRNAseq
- GSM8306611 HC19, scRNAseq
- GSM8306612 HC20, scRNAseq
- GSM8306613 HC21, scRNAseq
- GSM8306614 HC22, scRNAseq
- GSM8306615 MI23, scRNAseq
- GSM8306616 MD24, scRNAseq
- GSE269114 Multiomic-based Immune Response Profiling in Migraine, Vestibular Migraine and Meniere's Disease [scATAC-Seq] 24 samples shares multiomic-based, vestibular, migraine, meniere
- GSE244980 Conserved transcriptional response to adversity-related inflammation contributes to Meniere’s disease progression 38 samples shares meniere
- GSE244979 Conserved transcriptional response to adversity-related inflammation contributes to Meniere’s disease progression [RNA-Seq 2] 28 samples shares meniere
- GSE244978 Conserved transcriptional response to adversity-related inflammation contributes to Meniere’s disease progression [RNA-Seq 1] 10 samples shares meniere
- GSE278713 Transcriptome-wide Profiling between Cystic and Solid Vestibular Schwannoma Patients Reveal Candidate Long noncoding RNA molecular signatures 6 samples shares vestibular
- GSE230375 Gene expression profile at single cell level of vestibular schwannoma 9 samples shares vestibular
- GSE315579 NKG2D Upregulation Enhances T and NK Cell Cytotoxicity, Sensitizes Tumors to Combined αPD1 and αVEGF Therapy, and Contributes to Hearing Loss Prevention in Vestibular Schwannoma Model 4 samples shares vestibular
- GSE250061 Single cell RNA sequencing analysis of vestibular schwannoma reveals functionally distinct macrophage subsets 3 samples shares vestibular
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.