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Non-reciprocal callosal projections and input gradients underlie interhemispheric communication in binocular visual cortex

GSE310829 Mus musculus (mouse) RNA-seq (gene expression) 41 samples Submitted 2025/11/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 41 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
41 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.
Paper
Non-reciprocal callosal projections and input gradients underlie interhemispheric communication in binocular visual cortexCell reports · 2026
Summary (written by the submitters)
How the brain combines information received independently by the two hemispheres is not fully understood. Here we describe a non-reciprocal circuit for interhemispheric communication in mouse binocular visual cortex via anatomically segregated neuronal populations. Callosal projecting neurons (CPNs) received only weak or no callosal input, whereas callosal receiving neurons (CRNs) made only weak or no callosal projections.
Read the full summary ↓
Both populations received direct input from the thalamus. At the cellular level, CRNs had reduced excitability compared to non-CRNs (putative CPNs) due to elevated Kv1 potassium channel expression (encoded by the KCNA2 gene), with excitability of CRNs correlated with the magnitude of callosal input. Functionally, CRNs were predominately binocular, with binocularity correlated with callosal input, whereas non-CRNs (putative CPNs) were predominately monocular. In summary, we find that non-reciprocal callosal projections between CPNs and CRNs together with differences in excitability shaped by callosal input underlie interhemispheric communication in binocular visual cortex.
Published in
Non-reciprocal callosal projections and input gradients underlie interhemispheric communication in binocular visual cortex
Honnuraiah S, Huang H, Furlanis E et al. · Cell reports 2026 · PMID 41533510 · doi:10.1016/j.celrep.2025.116806
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 GSE310829_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 PRJNA1367126 and SRA study SRP647658. Searching any of these in the dataset finder brings you back here.

Samples in this study

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