Tbr2-dependent parallel pathways regulate the development of distinct ipRGC subtypes
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 3 × TSCM vs 3 × TSMM vs 3 × TSCF vs 3 × TSMFGroups 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
- Tbr2-dependent parallel pathways regulate the development of distinct ipRGC subtypesCommunications biology · 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 GSE149388_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 PRJNA628601 and SRA study SRP258678. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM4498853 TSCM4 TSCM
- GSM4498854 TSCM5 TSCM
- GSM4498855 TSCM6 TSCM
- GSM4498856 TSMM4 TSMM
- GSM4498857 TSMM5 TSMM
- GSM4498858 TSMM6 TSMM
- GSM4498859 TSCF4 TSCF
- GSM4498860 TSCF5 TSCF
- GSM4498861 TSCF6 TSCF
- GSM4498862 TSMF4 TSMF
- GSM4498863 TSMF5 TSMF
- GSM4498864 TSMF6 TSMF
- GSE205410 Multiple subpopulations in medullary thymic epithelial cells are regulated by Aire with distinctive modes of gene regulations [bulkRNA-seq] 47 samples shares regulate, distinct
- GSE285906 Oxaliplatin induces cancer-like cachexia through distinct transcriptional pathways in mouse muscle and adipose depots 23 samples shares distinct
- GSE271100 Stem cells tightly regulate dead cell clearance to maintain tissue fitness [scRNA-seq] 1037 samples shares regulate
- GSE246033 Histone serotonylation regulates ependymoma tumorigenesis through neurodevelopmental pathways 34 samples shares regulate
- GSE292224 Distinct molecular mechanisms of stress habituation in the mouse hippocampus [bulk RNA-seq] 190 samples shares distinct
- GSE327057 Systematically characterizing the roles of E3-ligase family members in inflammatory responses with massively parallel Perturb-seq 169 samples shares parallel
- GSE286046 Asymmetric Histone Inheritance Regulates Differential Transcription Re-initiation and Cell Fate Decisions in Mouse Olfactory Horizontal Basal Cells 96 samples shares regulate
- GSE329024 Distinct HPO axis responses to chronic unpredictable stress in young versus adult female mice 63 samples shares distinct
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.