» Articles » PMID: 11751223

Differential Expression of Genes Coding for Ribosomal Proteins in Different Human Tissues

Overview
Journal Bioinformatics
Specialty Biology
Date 2001 Dec 26
PMID 11751223
Citations 56
Authors
Affiliations
Soon will be listed here.
Abstract

Motivation: To perform a computational and statistical study on a large set of gene expression data pertaining six adult human tissues (brain, liver, skeletal muscle, ovary, retina and uterus) for analyzing the expression of ribosomal protein genes.

Results: Unexpectedly, in each of the considered tissues large variations in the expression of ribosomal protein genes were observed. Moreover, when comparing the expression levels of 89 ribosomal protein genes in six different tissues, 13 genes appeared differentially expressed among tissues.

Availability: The expression data of the ribosomal protein genes together with supplementary material (complete transcriptional profiles of the considered human tissues) are freely available at the site GETProfiles (http://telethon.bio.unipd.it/GETProfiles/).

Contact: danieli@bio.unipd.it

Citing Articles

Ribosomal protein paralogues in ribosome specialization.

Milenkovic I, Novoa E Philos Trans R Soc Lond B Biol Sci. 2025; 380(1921):20230387.

PMID: 40045786 PMC: 11883438. DOI: 10.1098/rstb.2023.0387.


Ribosome heterogeneity in development and disease.

Gao Y, Wang H Front Cell Dev Biol. 2024; 12:1414269.

PMID: 39086661 PMC: 11288964. DOI: 10.3389/fcell.2024.1414269.


CHIRP-Seq: FoxP2 transcriptional targets in zebra finch brain include numerous speech and language-related genes.

Gedman G, Kimball T, Atkinson L, Factor D, Vojtova G, Farias-Virgens M Res Sq. 2024; .

PMID: 38978588 PMC: 11230500. DOI: 10.21203/rs.3.rs-4542378/v1.


Targeting Translation and the Cell Cycle Inversely Affects CTC Metabolism but Not Metastasis.

Bowley T, Merkley S, Lagutina I, Ortiz M, Lee M, Tawfik B Cancers (Basel). 2023; 15(21).

PMID: 37958436 PMC: 10650766. DOI: 10.3390/cancers15215263.


Human Tissues Exhibit Diverse Composition of Translation Machinery.

Anisimova A, Kolyupanova N, Makarova N, Egorov A, Kulakovskiy I, Dmitriev S Int J Mol Sci. 2023; 24(9).

PMID: 37176068 PMC: 10179197. DOI: 10.3390/ijms24098361.