Literature DB >> 15942958

Proteomics profiling of nuclear proteins for kidney fibroblasts suggests hypoxia, meiosis, and cancer may meet in the nucleus.

Kaveh Shakib1, Jill T Norman, Leon G Fine, Larry R Brown, Jasminka Godovac-Zimmermann.   

Abstract

Proteomics methods were used to characterize proteins that change their form or abundance in the nucleus of NRK49F rat kidney fibroblasts during prolonged hypoxia (1% O(2), 12 h). Of the 791 proteins that were monitored, about 20% showed detectable changes. The 51 most abundant proteins were identified by mass spectrometry. Changes in nuclear receptor transcription factors (THRalpha1, RORalpha4, HNF4alpha, NUR77), other transcription factors (GATA1, AP-2alpha, OCT1, ATF6alpha, ZFP161, ZNF354A, PDCD2), and transcription cofactors (PC4, PCAF, MTA1, TCEA1, JMY) are indicative of major, co-ordinated changes in transcription. Proteins involved in DNA repair/recombination, ribosomal RNA synthesis, RNA processing, nuclear transport, nuclear organization, protein translation, glycolysis, lipid metabolism, several protein kinases (PKCdelta, MAP3K4, GRK3), as well as proteins with no established functional role were also observed. The observed proteins suggest nuclear regulatory roles for proteins involved in cytosolic processes such as glycolysis and fatty acid metabolism, and roles in overall nuclear structure/organization for proteins previously associated with meiosis and/or spermatogenesis (synaptonemal complex proteins 1 and 2 (SYCP1, SYCP2), meiosis-specific nuclear structural protein 1 (MNS1), LMNC2, zinc finger protein 99 (ZFP99)). Proteins associated with cytoplasmic membrane functions (ACTN4, hyaluronan mediated motility receptor (RHAMM), VLDLR, GRK3) and/or endocytosis (DNM2) were also seen. For 30% of the identified proteins, new isoforms indicative of alternative transcription were detected (e.g., GATA1, ATF6alpha, MTA1, MLH1, MYO1C, UBF, SYCP2, EIF3S10, MAP3K4, ZFP99). Comparison with proteins involved in cell death, cancer, and testis/meiosis/spermatogenesis suggests commonalities, which may reflect fundamental mechanisms for down-regulation of cellular function.

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Year:  2005        PMID: 15942958     DOI: 10.1002/pmic.200401108

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  19 in total

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