Peripheral blood transcriptomics identifies cohesin–chromatin and immune dysregulation in tics and Tourette syndrome
RNA-seq (gene expression) · human · 48 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 48 samples: 28 × Ticpatient vs 20 × ControlGroups 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
- Peripheral blood transcriptomics identifies cohesin-chromatin and immune dysregulation in tics and Tourette syndromeFrontiers in neurology · 2026
Read the full summary ↓
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 GSE310998_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1367926 and SRA study SRP648318. Searching any of these in the dataset finder brings you back here.
Supports a case/control comparison: 28 samples read as cases, 20 as controls.
How we read this: 2 replicated groups read from 48 sample titles; they account for 48 of them. 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.
- GSM9314847 Ticpatient1 Ticpatient
- GSM9314848 Ticpatient2 Ticpatient
- GSM9314849 Ticpatient3 Ticpatient
- GSM9314850 Ticpatient4 Ticpatient
- GSM9314851 Ticpatient5 Ticpatient
- GSM9314852 Ticpatient6 Ticpatient
- GSM9314853 Ticpatient7 Ticpatient
- GSM9314854 Ticpatient8 Ticpatient
- GSM9314855 Ticpatient9 Ticpatient
- GSM9314856 Ticpatient10 Ticpatient
- GSM9314857 Ticpatient11 Ticpatient
- GSM9314858 Ticpatient12 Ticpatient
- GSM9314859 Ticpatient13 Ticpatient
- GSM9314860 Ticpatient14 Ticpatient
- GSM9314861 Ticpatient15 Ticpatient
- GSM9314862 Ticpatient16 Ticpatient
- GSM9314863 Ticpatient17 Ticpatient
- GSM9314864 Ticpatient18 Ticpatient
- GSM9314865 Ticpatient19 Ticpatient
- GSM9314866 Ticpatient20 Ticpatient
- GSM9314867 Ticpatient21 Ticpatient
- GSM9314868 Ticpatient22 Ticpatient
- GSM9314869 Ticpatient23 Ticpatient
- GSM9314870 Ticpatient24 Ticpatient
- GSM9314871 Ticpatient25 Ticpatient
- GSM9314872 Ticpatient26 Ticpatient
- GSM9314873 Ticpatient27 Ticpatient
- GSM9314874 Ticpatient28 Ticpatient
- GSM9314875 Control1 Control
- GSM9314876 Control2 Control
- GSM9314877 Control3 Control
- GSM9314878 Control4 Control
- GSM9314879 Control5 Control
- GSM9314880 Control6 Control
- GSM9314881 Control7 Control
- GSM9314882 Control8 Control
- GSM9314883 Control9 Control
- GSM9314884 Control10 Control
- GSM9314885 Control11 Control
- GSM9314886 Control12 Control
+ 8 more — browse all 48 samples with per-sample file links →
- GSE255685 Age-related transcriptomic differences in peripheral blood of adolescents with major depressive disorder 279 samples shares peripheral, blood
- GSE251778 Sex-specific and multiomic integration enhance accuracy of peripheral blood biomarkers of major depressive disorder [RNA-Seq] 169 samples shares peripheral, blood
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares peripheral, blood
- GSE310095 Whole Blood Transcriptomics Differentiates Circulating Gene Expression Between Coronary Artery Disease and Peripheral Artery Disease 71 samples shares peripheral, blood
- GSE334923 Single-cell RNA-seq atlas of peripheral blood and kidney graft immune cells in chronic antibody-mediated rejection 48 samples shares peripheral, blood
- GSE267718 Single cell RNA sequencing (scRNAseq) of urine-derived cells, peripheral blood mononuclear (PBMC), and tumor cells from bladder cancer patients. 33 samples shares peripheral, blood
- GSE263995 Gene expression at single cell level of tumor-infiltrating cells from the tumor foci, draining lymph node and peripheral blood of triple-negative breast cancer 14 samples shares peripheral, blood
- GSE265753 Single cell gene expression profile of peripheral whole blood cells from long COVID patients 13 samples shares peripheral, blood
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.