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| Status |
Public on Dec 22, 2023 |
| Title |
A dataset of single-cell transcriptomic atlas of Bama pigs and potential marker genes across seven tissues |
| Organism |
Sus scrofa |
| Experiment type |
Expression profiling by high throughput sequencing
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| Summary |
The use of single-cell sequencing technology for single-cell transcriptomics studies in pigs is expanding progressively. However, the comprehensive classification of cell types across different anatomical tissues and organs of pigs in multiple datasets remains relatively limited. This study centers on an investigation using single-cell sequencing technology in Bama pigs, where unique marker genes and their corresponding transcriptomic profiles have been identified for diverse cell types across distinct anatomical tissues and organs, encompassing subcutaneous fat, visceral fat, skeletal muscle, liver, spleen, lung, and kidney. Using comprehensive data analyses, we discovered the widespread cellular diversity inherent in different anatomical tissues and organs of Bama pigs. This study not only provides a pivotal dataset for physiological research on Bama pigs but also contributes to the verification and prediction of key marker genes in the single-cell transcriptomics of these tissues and organs. Furthermore, the data and methodologies that were used in this study underscore our commitment to enhancing the authenticity of cell type identification and ensuring the consistency in cell type allocation.
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| Overall design |
We selected tissues from the liver, spleen, lung, kidney, psoas major muscle (PMM), subcutaneous adipose tissue (SAT), and greater omentum (GOM) of Bama pigs. These meticulously cleaned tissue samples were sealed and preserved in liquid nitrogen until they underwent a cellular extraction procedure, subsequently sequenced on the 10× Genomics platform.
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| Contributor(s) |
Chen L, Zeng B, Jin L, Li M |
| Citation(s) |
40075302 |
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| Submission date |
Aug 23, 2023 |
| Last update date |
Mar 21, 2025 |
| Contact name |
chen long |
| E-mail(s) |
chenlong@stu.sicau.edu.cn
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| Phone |
15680464017
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| Organization name |
Sichuan Agricultural University
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| Department |
animal science and technology
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| Street address |
211 Huimin Road, Wenjiang District
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| City |
chengdu |
| State/province |
sichuan |
| ZIP/Postal code |
611130 |
| Country |
China |
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| Platforms (1) |
| GPL26351 |
Illumina NovaSeq 6000 (Sus scrofa) |
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| Samples (7)
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| Relations |
| BioProject |
PRJNA1008688 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE241555_RAW.tar |
2.3 Gb |
(http)(custom) |
TAR (of TAR) |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
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