Neuronal development shapes activity-dependent gene expression profiles in a stimulus-specific manner
RNA-seq (gene expression) · mouse · 55 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
- Mus musculus (mouse)
- Samples
- 55 samples: 21 conditions, mostly in triplicateGroups 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
- Neuronal activity-dependent gene expression is stimulus-specific and changes with neuronal maturationFrontiers in molecular neuroscience · 2025
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 GSE277512_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 PRJNA1162548 and SRA study SRP533434. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 55 samples.
How we read this: 21 replicated groups read from 55 sample titles; they account for 55 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.
- GSM8523777 7DIV_Basal_0min_2 7DIV_Basal_0min
- GSM8523778 7DIV_Basal_0min_3 7DIV_Basal_0min
- GSM8523779 7DIV_Basal_0min_4 7DIV_Basal_0min
- GSM8523780 7DIV_KCl_15min_1 7DIV_KCl_15min
- GSM8523781 7DIV_KCl_15min_2 7DIV_KCl_15min
- GSM8523782 7DIV_KCl_15min_3 7DIV_KCl_15min
- GSM8523783 7DIV_KCl_3h_1 7DIV_KCl_3h
- GSM8523784 7DIV_KCl_3h_2 7DIV_KCl_3h
- GSM8523785 7DIV_KCl_3h_3 7DIV_KCl_3h
- GSM8523786 7DIV_4APBic_15min_1 7DIV_4APBic_15min
- GSM8523787 7DIV_4APBic_15min_2 7DIV_4APBic_15min
- GSM8523788 7DIV_4APBic_15min_3 7DIV_4APBic_15min
- GSM8523789 7DIV_4APBic_3h_1 7DIV_4APBic_3h
- GSM8523790 7DIV_4APBic_3h_2 7DIV_4APBic_3h
- GSM8523791 7DIV_4APBic_3h_3 7DIV_4APBic_3h
- GSM8523792 23DIV_Basal_0min_1 23DIV_Basal_0min
- GSM8523793 23DIV_Basal_0min_2 23DIV_Basal_0min
- GSM8523794 23DIV_Basal_0min_3 23DIV_Basal_0min
- GSM8523795 23DIV_KCl_15min_1 23DIV_KCl_15min
- GSM8523796 23DIV_KCl_15min_2 23DIV_KCl_15min
- GSM8523797 23DIV_KCl_15min_3 23DIV_KCl_15min
- GSM8523798 23DIV_KCl_3h_1 23DIV_KCl_3h
- GSM8523799 23DIV_KCl_3h_2 23DIV_KCl_3h
- GSM8523800 23DIV_KCl_3h_3 23DIV_KCl_3h
- GSM8523801 23DIV_4APBic_15min_1 23DIV_4APBic_15min
- GSM8523802 23DIV_4APBic_15min_2 23DIV_4APBic_15min
- GSM8523803 23DIV_4APBic_3h_2 23DIV_4APBic_3h
- GSM8523804 23DIV_4APBic_3h_3 23DIV_4APBic_3h
- GSM8523805 21DIV_BasalTTX_0min_1 21DIV_BasalTTX_0min
- GSM8523806 21DIV_BasalTTX_0min_2 21DIV_BasalTTX_0min
- GSM8523807 21DIV_BasalTTX_0min_3 21DIV_BasalTTX_0min
- GSM8523808 21DIV_Basal_0min_1 21DIV_Basal_0min
- GSM8523809 21DIV_Basal_0min_2 21DIV_Basal_0min
- GSM8523810 21DIV_BasalTTX_0min_4 21DIV_BasalTTX_0min
- GSM8523811 21DIV_TTXwithdrawal_45min_1 21DIV_TTXwithdrawal_45m…
- GSM8523812 21DIV_Bicuculline_3h_2 21DIV_Bicuculline_3h
- GSM8523813 21DIV_Bicuculline_3h_3 21DIV_Bicuculline_3h
- GSM8523814 21DIV_KCl_3h_1 21DIV_KCl_3h
- GSM8523815 21DIV_KCl_3h_2 21DIV_KCl_3h
- GSM8523816 21DIV_TTXwithdrawal_45min_3 21DIV_TTXwithdrawal_45m…
+ 15 more — browse all 55 samples with per-sample file links →
- GSE240857 Hmgb2 improves astrocyte to neuron conversion by increasing the chromatin accessibility of genes associated with neuronal maturation in a proneuronal factor-dependent manner[RNA-Seq] 29 samples shares neuronal, manner
- GSE240860 Hmgb2 improves astrocyte to neuron conversion by increasing the chromatin accessibility of genes associated with neuronal maturation in a proneuronal factor-dependent manner 54 samples shares neuronal, manner
- GSE240782 Hmgb2 improves astrocyte to neuron conversion by increasing the chromatin accessibility of genes associated with neuronal maturation in a proneuronal factor-dependent manner [ATAC-Seq] 25 samples shares neuronal, manner
- GSE201417 Gene expression profiles of cardiac neural crest cells during heart development 294 samples shares profiles
- GSE241165 Characterizing the gene expression profiles of 4T1 and 4T1.2 cells at different stages of bone metastsis using SMART-Seq2 technology 1248 samples shares profiles
- GSE248222 Impact of Maternal Immune Activation and Sex on Placental and Fetal Brain Cytokine and Gene Expression Profiles in a Preclinical Model of Neurodevelopmental Disorders 64 samples shares profiles
- GSE298720 Global gene expression profiles were compared among IL1B-treated, Ad-OSCAR-treated, and control mice, with or without subsequent treatment with OSCAR inhibitors (Brivudine or Adefovir). 35 samples shares profiles
- GSE296297 Single-cell gene expression profiles of mice lung tissue under PM2.5 exposure 26 samples shares profiles
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.