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Molecular signatures of hyperexcitability and lithium responsiveness in bipolar disorder patient neurons provides alternative therapeutic strategies

GSE236482 Homo sapiens (human) RNA-seq (gene expression) 28 samples Submitted 2025/07/04 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 28 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
28 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.
Summary (written by the submitters)
Bipolar Disorder (BD) is a chronic psychiatric illness affecting ~3% of the global population. It is one of the top 10 causes of disability and mortality worldwide, largely due to high suicide, cardiovascular, and metabolic comorbidity. Typically, BD has life-long presentation characterized by alternations of extreme mania and depression, associated with psychosis and self-harm.
Read the full summary ↓
Given the complex heritability and symptoms of BD, long term clinical management of some patients remains unsatisfactory. Thus, there is a major unmet need for new clinical treatment strategies and drug options to help these patients. Lithium (Li) remains the gold standard mood stabilizer and first-line treatment for manic/depressive episodes, reducing suicide and overall mortality rates. Two major questions stand out i) how Li is effective, and ii) why for only a subset of patients? To address this, we studied the biology and lithium effects in iPSC-derived neurons from people with a known clinical and genetic profile, comparing healthy individuals, BD Li-responders, and BD Li-non responders. We combined cell imaging, electrophysiology, biochemistry, , phosphoproteomic and whole transcriptome sequencing approaches to provide mechanistic insights and guide the search for BD biomarkers and Li responsiveness.
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE236482_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA991455 and SRA study SRP447559. Searching any of these in the dataset finder brings you back here.

Samples in this study

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