PARP Knockout Mouse Model Data on Spontaneous Colitis with Segmental Features
by Haoran Ke·Updated 20d ago
27.9 KB1files
Available on 1 platform
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Description
Haoran Ke's dataset from figshare, last updated 2026-05-19, contains experimental results on the effects of PARP2 knockout in T cells on a PARP1-deficient background in mice. The 27.9 KB XLSX file likely contains tabular data from histopathology, immunohistochemistry, ELISA, and Western blot analyses of large intestines. The data characterizes spontaneous intestinal inflammation, T cell density, oxidative-nitrative stress, and signaling protein activation in proximal and distal segments.
Use Cases
Compare inflammatory cytokine levels (e.g., TNFα) between double knockout and control mice based on ELISA results mentioned in the description.
Analyze the correlation between T cell density in the intestinal epithelium and histological features of colitis based on immunohistochemistry data.
Investigate segment-specific differences in crypt length and caspase-3 activation between proximal and distal large intestines.
Study the relationship between Ki-67-positive cell ratios and mucosal hyperplasia as indicators of enterocyte renewal.
Strengths
Data is derived from controlled genetic knockout experiments (DKO, T-PARP2-KO) with comparisons to single knockout and control animals.
Analysis includes multiple complementary methods: histopathology, immunohistochemistry, ELISA, and Western blot.
Dataset is openly available under a CC-BY-4.0 license.
Limitations
Row count and column-level documentation are unknown, requiring manual inspection after download.
The dataset is small (27.9 KB), indicating limited scope and likely a summary of experimental results rather than raw observations.
Description metadata is limited; actual data quality and granularity require manual inspection after download.
Provenance
Source
Haoran Ke via figshare
Collection Method
Data generated from crossbreeding single knockout mice and examining large intestines via histopathology and immune-based methods.
Freshness
Last updated 2026-05-19 05:29:31; freshness should be verified.
Data is in XLSX format, requiring software like Microsoft Excel or a compatible library to open.