Biomedical subjects

David Shalloway

Publications and source records attributed to David Shalloway.

4 recordsLinked to original sources

PubMed2003

Macrostate data clustering.

We develop an effective nonhierarchical data clustering method using an analogy to the dynamic coarse graining of a stochastic system. Analyzing the eigensystem of an interitem transition matrix identifies fuzzy clusters corresponding to the metastable macroscopic states (macrostates) of a diffusive system. A "minimum uncertainty criterion" determines the linear transformation from eigenvectors to cluster-defining window functions. Eigenspectrum gap and cluster certainty conditions identify the proper number of clusters. The physically motivated fuzzy representation and associated uncertainty analysis distinguishes macrostate clustering from spectral partitioning methods. Macrostate data clustering solves a variety of test cases that challenge other methods.

Cluster Analysis↗

PubMed2003

Tracing specific synonymous codon-secondary structure correlations through evolution.

We previously showed that GAU codons are preferred (relative to synonymous GAC codons) for encoding aspartates specifically at the N-termini of alpha-helices in human, but not in E. coli, proteins. To test if this difference reflected a general difference between eucaryotes and procaryotes, we now extended the analysis to include the proteins and coding sequences of mammals, vertebrates, S. cerevisiae, and plants. We found that the GAU-alpha-helix correlation is also strong in non-human mammalian and vertebrate proteins but is much weaker or insignificant in S. cerevisiae and plants. The vertebrate correlations are of sufficient strength to enhance alpha-helix N-terminus prediction. Additional results, including the observation that the correlation is significantly enhanced when proteins that are known to be correctly expressed in recombinant procaryotic systems are excluded, suggest that the correlation is induced at the level of protein translation and folding and not at the nucleic acid level. To the best of our knowledge, it is not explicable by the canonical picture of protein expression and folding, suggesting the existence of a novel evolutionary selection mechanism. One possible explanation is that some alpha-helix N-terminal GAU codons may facilitate correct co-translational folding in vertebrates.

Codon↗

PubMed2002

Mitotic activation of protein-tyrosine phosphatase alpha and regulation of its Src-mediated transforming activity by its sites of protein kinase C phosphorylation.

During mitosis, the catalytic activity of protein-tyrosine phosphatase (PTP) alpha is enhanced, and its inhibitory binding to Grb2, which specifically blocks Src dephosphorylation, is decreased. These effects act synergistically to activate Src in mitosis. We show here that these effects are abrogated by mutation of Ser180 and/or Ser204, the sites of protein kinase C-mediated phosphorylation within PTPalpha. Moreover, either a Ser-to-Ala substitution or serine dephosphorylation specifically eliminated the ability of PTPalpha to dephosphorylate and activate Src even during interphase. This explains why the substitutions eliminated PTPalpha transforming activity, even though PTPalpha interphase dephosphorylation of nonspecific substrates was only slightly decreased. This occurred without change in the phosphorylation of PTPalpha at Tyr789, which is required for "phosphotyrosine displacement" during Src dephosphorylation. Thus, in addition to increasing PTPalpha nonspecific catalytic activity, Ser180 and Ser204 phosphorylation (along with Tyr789 phosphorylation) regulates PTPalpha substrate specificity. This involves serine phosphorylation-dependent differential modulation of the affinity of Tyr(P)789 for the Src and Grb2 SH2 domains. The results suggest that protein kinase C may participate in the mitotic activation of PTPalpha and Src and that there are intramolecular interactions between the PTPalpha C-terminal and membrane-proximal regions that are regulated, at least in part, by serine phosphorylation.

3T3 Cells↗

PubMed2002

Physical and functional interaction between the transcriptional cofactor CBP and the KH domain protein Sam68.

CBP is a multifunctional transcriptional cofactor with tumor suppressor activity. The CH3 domain of CBP binds numerous transcription factors and several viral oncoproteins. We identified the Src substrate and RNA-binding protein Sam68 as novel CH3-binding protein. Sam68 binds the CH3 domain in part through a conserved FXD/EXXXL motif that is shared among several CH3-binding proteins, including the adenoviral oncoprotein E1A and the tumor suppressor p53. Sam68 and CBP interact in vivo and colocalize in nuclear sub-domains. Sam68 has potent transcriptional repression activity that is independent of its RNA binding activity, which suggests that RNA processing and regulation of gene expression by Sam68 are separable functions. Consistent with this, CBP did not stimulate the ability of Sam68 to promote Rev response element-containing mRNA export. Interestingly, Sam68 can regulate RNA processing in the absence of a Rev response element, suggesting that Sam68 functions through a novel RNA element. Together, these findings reveal a previously unidentified function for Sam68 as a transcriptional repressor and suggest that Sam68 might link cellular signaling pathways with components of the transcriptional machinery.

3T3 Cells↗