Dataset Information

Disordered patterns in clustered Protein Data Bank and in eukaryotic and bacterial proteomes.

ABSTRACT: We have constructed the clustered Protein Data Bank and obtained clusters of chains of different identity inside each cluster, http://bioinfo.protres.ru/st_pdb/. We have compiled the largest database of disordered patterns (141) from the clustered PDB where identity between chains inside of a cluster is larger or equal to 75% (version of 28 June 2010) by using simple rules of selection. The results of these analyses would help to further our understanding of the physicochemical and structural determinants of intrinsically disordered regions that serve as molecular recognition elements. We have analyzed the occurrence of the selected patterns in 97 eukaryotic and in 26 bacterial proteomes. The disordered patterns appear more often in eukaryotic than in bacterial proteomes. The matrix of correlation coefficients between numbers of proteins where a disordered pattern from the library of 141 disordered patterns appears at least once in 9 kingdoms of eukaryota and 5 phyla of bacteria have been calculated. As a rule, the correlation coefficients are higher inside of the considered kingdom than between them. The patterns with the frequent occurrence in proteomes have low complexity (PPPPP, GGGGG, EEEED, HHHH, KKKKK, SSTSS, QQQQQP), and the type of patterns vary across different proteomes, http://bioinfo.protres.ru/fp/search_new_pattern.html.

SUBMITTER: Lobanov MY

PROVIDER: S-EPMC3208572 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature

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Disordered patterns in clustered Protein Data Bank and in eukaryotic and bacterial proteomes.

Lobanov Michail Yu MY Galzitskaya Oxana V OV

PloS one 20111104 11

We have constructed the clustered Protein Data Bank and obtained clusters of chains of different identity inside each cluster, http://bioinfo.protres.ru/st_pdb/. We have compiled the largest database of disordered patterns (141) from the clustered PDB where identity between chains inside of a cluster is larger or equal to 75% (version of 28 June 2010) by using simple rules of selection. The results of these analyses would help to further our understanding of the physicochemical and structural de ...[more]

PMID: 22073276

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Project description:CK2, a serine/threonine (Ser/Thr) kinase present in eukaryotic cells, is known to have a vast number of substrates. We have recently shown that it localizes to nuclei and at pores between hyphal compartments in Magnaporthe oryzae We performed a pulldown proteomics analysis of M. oryzae CK2 catalytic subunit MoCKa to detect interacting proteins. The MoCKa pulldown was enriched for septum and nucleolus proteins and intrinsically disordered proteins (IDPs) containing a CK2 phosphorylation motif that is proposed to destabilize and unfold α-helices. This points to a function for CK2 phosphorylation and corresponding phosphatase dephosphorylation in the formation of functional protein-protein aggregates and protein-RNA/DNA binding. To test this as widely as possible, we used secondary data downloaded from databases from a large range of M. oryzae experiments, as well as data for a relatively closely related plant-pathogenic fungus, Fusarium graminearum We found that CKa expression was strongly positively correlated with Ser/Thr phosphatases, as well as with disaggregases (HSP104, YDJ1, and SSA1) and an autophagy-indicating protein (ATG8). The latter points to increased protein aggregate formation at high levels of CKa expression. Our results suggest a general role for CK2 in chaperoning aggregation and disaggregation of IDPs and their binding to proteins, DNA, and RNA.IMPORTANCE CK2 is a eukaryotic conserved kinase enzyme complex that phosphorylates proteins. CK2 is known to phosphorylate a large number of proteins and is constitutively active, and thus a "normal" role for a kinase in a signaling cascade might not be the case for CK2. Previous results on localization and indications from the literature point to a function for CK2 phosphorylation in shaping and folding of proteins, especially intrinsically disordered proteins, which constitute about 30% of eukaryotic proteins. We used pulldown of interacting proteins and data downloaded from a large range of transcriptomic experiments in M. oryzae and complemented these with data downloaded from a large range of transcriptomic experiments in Fusarium graminearum We found support for a general role for CK2 in aggregation and disaggregation of IDPs and their binding to proteins, DNA, and RNA-interactions that could explain the importance of CK2 in eukaryotic cell function and disease.

Dataset Information

Disordered patterns in clustered Protein Data Bank and in eukaryotic and bacterial proteomes.

Publications

Disordered patterns in clustered Protein Data Bank and in eukaryotic and bacterial proteomes.

Similar Datasets

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