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February 28, 2026Data in Brief0 citationsOpen Access

Proteomics dataset of liver tissue from spinal muscular atrophy, heterozygous, and wild-type mice, enabling pathway identification

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SVSofia VrettouSMStefan MüllerBWBrunhilde Wirth

Key Points

  • This research aims to create a quantitative proteomics dataset to identify protein alterations in spinal muscular atrophy and related models.
  • Liver tissue samples collected from wild-type, heterozygous, and spinal muscular atrophy mice at postnatal day 10.
  • Proteins extracted using urea lysis and digested with trypsin.
  • Analyzed by LC-MS/MS on an Orbitrap Exploris 480 mass spectrometer.
  • Data processed with DIA-NN and Perseus software for statistical analysis, including PCA and differential expression analysis.
  • Western blot validation for SMN and ferrochelatase protein levels.
  • Identification of significant protein alterations between wild-type and SMA, as well as HET and SMA mice.
  • A mis-genotyped SMA sample was excluded based on SMN protein validation.
  • Comprehensive protein identification and quantification tables provided for further analyses.

Abstract

We present a label-free quantitative proteomics dataset from liver tissue of wild-type (WT), heterozygous (HET), and spinal muscular atrophy (SMA) mice at postnatal day 10 (P10). Proteins were extracted using urea lysis, digested with trypsin, and analyzed by LC-MS/MS on an Orbitrap Exploris 480 mass spectrometer. DIA-NN and Perseus software were used for data processing and statistical analysis, including principal component analysis (PCA) and differential expression analysis for comparisons between WT and SMA, and HET and SMA. One mis-genotyped SMA sample was identified and excluded based on Western blot validation of the survival motor neuron (SMN) protein levels. The dataset provides complete protein identification and quantification tables, lists of significantly altered proteins, and Western blot validation for ferrochelatase (FECH) and survival motor neuron (SMN) protein in RIPA-extracted proteins from whole liver organ homogenates. All raw and processed data, including metadata and statistical outputs, have been deposited to the ProteomeXchange Consortium with the identifier PXD070887. The dataset can be reused for comparative proteomic analyses, cross-study integration, and meta-analyses of murine liver proteome alterations in neuromuscular and metabolic disease models.

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Cite This Study

Vrettou et al. (2026) studied this question.

synapsesocial.com/papers/69a287010a974eb0d3c025e4https://doi.org/10.1016/j.dib.2026.112632
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