Data · dataset · 2026
Transcriptomic dataset of different macrophage subtypes regulating ovarian granulosa cells in sheep
Listed in ScienceDB
Description
To reveal the molecular basis of macrophage regulation of granulosa cell function in the immune microenvironment of sheep ovaries, an in vitro Transwell co culture model of M0, M1, and M2 sheep bone marrow-derived macrophages and ovarian granulosa cells was constructed, and total RNA of granulosa cells was collected for transcriptome sequencing. The dataset includes transcriptome sequencing (RNA seq) raw data, clean data after quality control, reference genome alignment results, gene expression quantification matrix, differentially expressed gene results, and GO/KEGG enrichment analysis results of granular cells from different treatment groups.
The sample set covers three treatment groups, GC-M0, GC-M1, and GC-M2, with biological replicates that can be used to analyze the differences in transcriptional response induced by macrophages with different polarization states. The data collection process includes bone marrow cell isolation, macrophage induction and polarization, granulosa cell culture, Transwell co culture, RNA extraction, library construction, Illumina high-throughput sequencing, and subsequent bioinformatics analysis.
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This dataset focuses on analyzing the transcriptome response characteristics and differences of granulosa cells induced by macrophages with different polarization states. It can provide basic data resources for studying follicular development, ovarian immune regulation, macrophage granulosa cell interaction in ruminants, and support data reuse, cross comparison, and molecular mechanism mining research in related studies.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.cjb.00009 ↗
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
- RNA sequencing 65% · Sequencing 75% · Zoology 72%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.cjb.00009 | 10 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3109 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| 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:rna-seq | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| 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 |