Data · dataset · 2026
echolocation_scmultiomic_analysis-main
Listed in ScienceDB
Data introduction: The uploaded file "Single Cell Multi omics Analysis Process of Mouse Pigtail Mouse Brain Region" is the code repository for single-cell multi omics data analysis of this study.
Description
It is used to reproduce downstream analysis of snRNA seq+snATAC seq in 8 brain regions of 5 mammals, including modular analysis folders and Jupyter Notebook scripts. Data background: Echo localization is a classic convergent evolutionary trait in mammals, which relies on acoustic echoes to complete spatial navigation, but the substrates of the central nervous cells are not yet clear.
This study selected 5 mammalian species (3 echolocation species: Chinese Chrysanthemum headed Bat, Oriental Fuyi, and Daloushan Pigtail Mouse; 2 non echolocation species: short snouted fruit bat, laboratory mice), collected 8 brain region samples, and conducted single-cell multi omics sequencing (snRNA seq+snATAC seq) to obtain approximately 300000 high-quality cell nuclei, identifying the hippocampal excitatory neuron Echo Ex unique to echolocation animals. How to generate data: Experimental samples: 5 mammalian species, dissected olfactory bulb, cerebral cortex, hippocampus, pituitary gland, brainstem, vermis of cerebellum, cerebellar hemisphere, and quadruplex, totaling 8 brain regions; Liquid nitrogen quick freezing storage and extraction of cell nuclei.
Read the rest (1 more)
Sequencing library construction, data generation in this warehouse: Based on the original sequencing fastq, downstream calculations are completed using Python/Jupyter Notebook.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.0105n ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Biochemistry and cell biology 71% · Sequencing 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.0105n | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3101 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:sequencing | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |