Data · dataset · 2026
A within-animal matched multi-region proteomics dataset of fear conditioning and memory retrieval in mice
Listed in ScienceDB
Fear learning and memory retrieval engage distributed brain networks, but matched proteomic datasets spanning multiple small regions and experimental controls remain scarce.
Description
We generated label-free DIA proteomes from 11 brain regions of 24 adult male C57BL/6J mice under untreated (home-cage), unpaired tone–shock, US-only, paired tone–shock, contextual-retrieval, and tone-cued-retrieval conditions, with a CS-only behavioral control.
All regions were collected from each mouse within the same 15-min dissection session, preserving animal-level pairing. An SP3-based low-input workflow coupled with Orbitrap Astral mass spectrometry enabled deep profiling of small nuclei, including PVH and PMD. The dataset comprises 264 biological measurements and 25 pooled-QC injections, with approximately 9,000 protein groups per regional report and a median pooled-QC CV of 9.90%.
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Raw and processed data, behavioral measurements, sample metadata, processing provenance, and reusable code are provided. This resource supports within-region condition contrasts and exploratory paired analyses of regional response patterns.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.43331 ↗
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
- Bioinformatics and computational biology 74% · Mass spectrometry 75%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.43331 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3102 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (74%) |
| 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:mass-spectrometry | 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 | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |