Identification of Differential Expression Genes of Blood Leukocytes for Schizophrenia
RNA-seq (gene expression) · human · 29 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
- 29 samples
- 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.
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 GSE263180_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 PRJNA1096042 and SRA study SRP499627. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 29 more — browse all 29 samples with per-sample file links →
- GSE266852 Comparison of differential gene expression in blood PBMCs from healthy controls, patients with rheumatoid arthritis,and patients with lupus using single-cell transcriptome sequencing analysis. 10 samples shares differential, blood
- GSE215274 Identification of Whole Blood Gene Expression Signature to Predict the Therapeutic Effect of Nintedanib in Idiopathic Pulmonary Fibrosis 177 samples shares blood
- GSE223075 Next Generation Sequencing facilitates to identify the differential expression genes of sorted conventional CD8+ T cells and MAIT cells 35 samples shares differential
- GSE243841 Peripheral mRNA expression of first-episode drug-naïve patients with schizophrenia 181 samples shares schizophrenia
- GSE302831 Identification of differentially expressed genes in psoriasis by RNA sequencing 14 samples shares differential
- GSE165489 Blood gene expression changes in response to exposure to dust containing silica 86 samples shares blood
- GSE310095 Whole Blood Transcriptomics Differentiates Circulating Gene Expression Between Coronary Artery Disease and Peripheral Artery Disease 71 samples shares blood
- GSE288704 Whole transcriptome analysis of unmutated sporadic ALS patients’ peripheral blood reveals phenotype-specific gene expression signature 66 samples shares 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.