Single-cell RNA sequencing of splenic cells from 4.1R knockout and wild-type C57BL/6 mice

This project generated single-cell RNA sequencing data from splenic cells of 4.1R (Epb41) knockout and wild-type C57BL/6 mice. A total of six samples were collected, including three biological replicates per group. Single-cell suspensions were processed using the DNBelab C Series High-throughput Single-cell RNA Library Prep Set V3.0 following the DNBelab C4 workflow. Libraries were sequenced on the DNBSEQ-T7RS platform using paired-end 100 bp chemistry.The dataset provides a high-resolution transcriptomic atlas of mouse spleen under 4.1R deficiency and normal conditions, enabling the exploration of immune cell composition and gene expression changes associated with loss of 4.1R.

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Publication Details

Journal
China National GeneBank DataBase
Published
2026-11-06
DOI
https://doi.org/10.26036/cnp0008586
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Single-cell RNA sequencing of splenic cells from 4.1R knockout and wild-type C57BL/6 mice

Yuying Guo
1 links
China National GeneBank DataBase
Single-cell and spatial transcriptomics
article

Single-cell RNA sequencing of splenic cells from 4.1R knockout and wild-type C57BL/6 mice

Yuying Guo
article en

Abstract

This project generated single-cell RNA sequencing data from splenic cells of 4.1R (Epb41) knockout and wild-type C57BL/6 mice. A total of six samples were collected, including three biological replicates per group. Single-cell suspensions were processed using the DNBelab C Series High-throughput Single-cell RNA Library Prep Set V3.0 following the DNBelab C4 workflow. Libraries were sequenced on the DNBSEQ-T7RS platform using paired-end 100 bp chemistry.The dataset provides a high-resolution transcriptomic atlas of mouse spleen under 4.1R deficiency and normal conditions, enabling the exploration of immune cell composition and gene expression changes associated with loss of 4.1R.

China National GeneBank DataBase
Good health and well-being
Openalex Percentile: Top 27%
Single-cell and spatial transcriptomics
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