Cited by 46Advanced Proteomics Techniques and ApplicationsMetabolism and Genetic DisordersRedox biology and oxidative stress

Quantitative proteomic comparison of mouse peroxisomes from liver and kidney

Mi, Jia, Kirchner, Eva, Cristobal, Susana·2007·PROTEOMICS

Abstract

The peroxisome plays a central role in the catabolic and anabolic pathways that contribute to the lipid homeostasis. Besides this main function, this organelle has gained functional diversity. Although several approaches have been used for peroxisomal proteome analysis, a quantitative protein expression analysis of peroxisomes from different tissues has not been elucidated yet. Here, we applied a 2-DE-based method on mouse liver and kidney peroxisomal enriched fractions to study the tissue-dependent protein expression. Ninety-one spots were identified from the 2-DE maps from pH 3.0-10.0 and 51 spots from the basic range corresponding to 31 peroxisomal proteins, 10 putative peroxisomal, 6 cytosolic, 17 mitochondrial and 1 protein from endoplasmic reticulum. Based on the identification and on the equivalent quality of both tissue preparations, the differences emerging from the comparison could be quantified. In liver, proteins involved in pathways such as alpha- and beta-oxidation, isoprenoid biosynthesis, amino acid metabolism and purine and pyrimidine metabolism were more abundant whereas in kidney, proteins from the straight-chain fatty acid beta-oxidation were highly expressed. These results indicate that tissue-specific functional classes of peroxisomal proteins could be relevant to study peroxisomal cellular responses or pathologies. Finally, a web-based peroxisomal proteomic database was built.

Integrity signals

Registry

Crossref · 10.1002/pmic.200600638

Cites

69 of 69 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Symptoms of patients with peroxisomal single enzyme and transporter deficiencies have broad heterogeneity related to differences in the physiological role of the affected metabolic pathway or reaction.

    “The symptoms of patients with peroxisomal single enzyme and transporter deficiencies have a broad heterogeneity, related to differences in the physiological role of the affected metabolic pathway or reaction [5].”

    From Peroxisomes in brain development and function (2016) · cites this paper as [5]

Cites

Flagged first, then by citations

1 of the 70 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Mi, J., Kirchner, E., & Cristobal, S.
Affiliations
Uppsala University (SE)
ORCID
Mi, Jia
Venue
PROTEOMICS
Publisher
Wiley
Published
2007-05-22
Volume
7
Issue
11
Pages
1916-1928
ISSN
  • 1615-9853 (ISSN-L)
  • 1615-9861
OpenAlex
W2039160682
Cited by
46
References
70
Citations by year
2026: 1 · 2025: 3 · 2024: 2 · 2023: 2 · 2022: 4 · 2020: 1 · 2018: 4 · 2017: 2 · 2015: 2 · 2014: 1 · 2013: 4 · 2012: 1
FWCI
2.62
Type
journal article
Language
en
Open access
closed
Locations
  • PROTEOMICS (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Redox biology and oxidative stress
Keywords
peroxisomes, tissue-specific protein expression, liver, kidney, fatty acid beta-oxidation, isoprenoid biosynthesis, amino acid metabolism, purine and pyrimidine metabolism, lipid homeostasis
MeSH terms
Animals, Chromatography, Liquid, Kidney, Liver, Male, Mice, Inbred C57BL, Proteins, Databases as Topic, Peroxisomes, Spectrometry, Mass, Electrospray Ionization, Proteomics, Mice

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review