Integrated Proteomic and Transcriptomic Profiles from a Rat Model of Anxious Depression
by Lingchang Shi·Updated 18d ago
20.6 KB1files
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Description
A 20.6 KB document by Lingchang Shi, last updated in May 2026, details proteomic and transcriptomic analyses from a rat model of anxious depression. The research investigates the role of mitochondrial oxidative stress and neuroinflammation, specifically the ROS/TXNIP/NLRP3 signaling pathway, in the hippocampus. The dataset includes results from behavioral tests, molecular analyses, and in vitro validation experiments.
Use Cases
Identify differentially expressed proteins and transcripts in the hippocampus based on integrated omics profiling.
Study the relationship between mitochondrial ROS accumulation and neuroinflammation based on the described signaling pathway.
Validate the role of specific genes like TXNIP in microglial activation and neuronal injury based on the in vitro knockdown experiments.
Analyze the effects of antioxidant intervention (Mito-TEMPO) on behavioral and molecular pathology based on the described experimental results.
Strengths
Dataset is associated with a detailed, hypothesis-driven research study published on figshare.
The underlying research employs a multi-modal approach, integrating proteomics, transcriptomics, and behavioral validation.
The data is shared under a permissive CC-BY-4.0 license, allowing for reuse and redistribution.
Limitations
The primary data file is a 20.6 KB DOCX document, which likely contains a summary of results rather than the raw underlying data tables.
Row and column counts for any potential underlying data are unknown, limiting suitability assessment for direct computational analysis.
The description lacks column-level documentation, requiring manual inspection of the document to understand data semantics.
Provenance
Source
Lingchang Shi via figshare
Collection Method
Data generated from a rat model of anxious depression using chronic restraint stress and corticosterone administration, followed by integrated proteomic and transcriptomic analyses.
Freshness
Last updated 2026-05-19 04:20:57; freshness should be verified.
The dataset is a small (20.6 KB) DOCX file, which is a research document; raw numerical data may not be directly machine-readable.