Biomedical subjects

Youxing Qu

Publications and source records attributed to Youxing Qu.

6 recordsLinked to original sources

PubMed2005

Modulation of replication protein A function by its hyperphosphorylation-induced conformational change involving DNA binding domain B.

Human replication protein A (RPA), composed of RPA70, RPA32, and RPA14 subunits, undergoes hyperphosphorylation in cells in response to DNA damage. Hyperphosphorylation that occurs predominately in the N-terminal region of RPA32 is believed to play a role in modulating the cellular activities of RPA essential for almost all DNA metabolic pathways. To understand how the hyperphosphorylation modulates the functions of RPA, we compared the structural characteristics of full-length native and hyperphosphorylated RPAs using mass spectrometric protein footprinting, fluorescence spectroscopy, and limited proteolysis. Our mass spectrometric data showed that of 24 lysines and 18 arginines readily susceptible to small chemical reagent modification in native RPA, the three residues Lys-343, Arg-335, and Arg-382, located in DNA binding domain B (DBD-B) of RPA70, were significantly shielded in the hyperphosphorylated protein. Tryptophan fluorescence studies indicated significant quenching of Trp-361, located in the DBD-B domain, induced by hyperphosphorylation of RPA. Consistently, DBD-B became more resistant to the limited proteolysis by chymotrypsin after RPA hyperphosphorylation. Taken together, our results indicate that upon hyperphosphorylation of RPA32 N terminus (RPA32N), RPA undergoes a conformational change involving the single-stranded DNA binding cleft of DBD-B. Comparison of the interactions of native and hyperphosphorylated RPAs with short single-stranded oligonucleotides or partial DNA duplexes with a short 5' or 3' single-stranded DNA tails showed reduced affinity for the latter protein. We propose that the hyperphosphorylation may play a role in modulating the cellular pathways by altering the DBD-B-mediated RPA-DNA and RPA-protein interactions, hypothetically via the interaction of hyperphosphorylated RPA32N with DBD-B.

Amino Acid Sequence↗

PubMed2005

Quantitative evaluation of protein-DNA interactions using an optimized knowledge-based potential.

Computational evaluation of protein-DNA interaction is important for the identification of DNA-binding sites and genome annotation. It could validate the predicted binding motifs by sequence-based approaches through the calculation of the binding affinity between a protein and DNA. Such an evaluation should take into account structural information to deal with the complicated effects from DNA structural deformation, distance-dependent multi-body interactions and solvation contributions. In this paper, we present a knowledge-based potential built on interactions between protein residues and DNA tri-nucleotides. The potential, which explicitly considers the distance-dependent two-body, three-body and four-body interactions between protein residues and DNA nucleotides, has been optimized in terms of a Z-score. We have applied this knowledge-based potential to evaluate the binding affinities of zinc-finger protein-DNA complexes. The predicted binding affinities are in good agreement with the experimental data (with a correlation coefficient of 0.950). On a larger test set containing 48 protein-DNA complexes with known experimental binding free energies, our potential has achieved a high correlation coefficient of 0.800, when compared with the experimental data. We have also used this potential to identify binding motifs in DNA sequences of transcription factors (TF). The TFs in 79.4% of the known TF-DNA complexes have accurately found their native binding sequences from a large pool of DNA sequences. When tested in a genome-scale search for TF-binding motifs of the cyclic AMP regulatory protein (CRP) of Escherichia coli, this potential ranks all known binding motifs of CRP in the top 15% of all candidate sequences.

Base Sequence↗

PubMed2004

DNA damage recognition of mutated forms of UvrB proteins in nucleotide excision repair.

The DNA repair protein UvrB plays an indispensable role in the stepwise and sequential damage recognition of nucleotide excision repair in Escherichia coli. Our previous studies suggested that UvrB is responsible for the chemical damage recognition only upon a strand opening mediated by UvrA. Difficulties were encountered in studying the direct interaction of UvrB with adducts due to the presence of UvrA. We report herein that a single point mutation of Y95W in which a tyrosine is replaced by a tryptophan results in an UvrB mutant that is capable of efficiently binding to structure-specific DNA adducts even in the absence of UvrA. This mutant is fully functional in the UvrABC incisions. The dissociation constant for the mutant-DNA adduct interaction was less than 100 nM at physiological temperatures as determined by fluorescence spectroscopy. In contrast, similar substitutions at other residues in the beta-hairpin with tryptophan or phenylalanine do not confer UvrB such binding ability. Homology modeling of the structure of E. coli UvrB shows that the aromatic ring of residue Y95 and only Y95 directly points into the DNA binding cleft. We have also examined UvrB recognition of both "normal" bulky BPDE-DNA and protein-cross-linked DNA (DPC) adducts and the roles of aromatic residues of the beta-hairpin in the recognition of these lesions. A mutation of Y92W resulted in an obvious decrease in the efficiency of UvrABC incisions of normal adducts, while the incision of the DPC adduct is dramatically increased. Our results suggest that Y92 may function differently with these two types of adducts, while the Y95 residue plays an unique role in stabilizing the interaction of UvrB with DNA damage, most likely by a hydrophobic stacking.

Adenosine Triphosphatases↗

PubMed2004

Protein structure prediction using sparse dipolar coupling data.

Residual dipolar coupling (RDC) represents one of the most exciting emerging NMR techniques for protein structure studies. However, solving a protein structure using RDC data alone is still a highly challenging problem. We report here a computer program, RDC-PROSPECT, for protein structure prediction based on a structural homolog or analog of the target protein in the Protein Data Bank (PDB), which best aligns with the (15)N-(1)H RDC data of the protein recorded in a single ordering medium. Since RDC-PROSPECT uses only RDC data and predicted secondary structure information, its performance is virtually independent of sequence similarity between a target protein and its structural homolog/analog, making it applicable to protein targets beyond the scope of current protein threading techniques. We have tested RDC-PROSPECT on all (15)N-(1)H RDC data (representing 43 proteins) deposited in the BioMagResBank (BMRB) database. The program correctly identified structural folds for 83.7% of the target proteins, and achieved an average alignment accuracy of 98.1% residues within a four-residue shift.

Computational Biology↗

PubMed2003

Hydrogen exchange kinetics of RNase A and the urea:TMAO paradigm.

A key paradigm in the biology of adaptation holds that urea affects protein function by increasing the fluctuations of the native state, while trimethylamine N-oxide (TMAO) affects function in the opposite direction by decreasing the normal fluctuations of the native ensemble. Using urea and TMAO separately and together, hydrogen exchange (HX) studies on RNase A at pH* 6.35 were used to investigate the basic tenets of the urea:TMAO paradigm. TMAO (1 M) alone decreases HX rate constants of a select number of sites exchanging from the native ensemble, and low urea alone increases the rate constants of some of the same sites. Addition of TMAO to urea solutions containing RNase A also suppresses HX rate constants. The data show that urea and TMAO independently or in combination affect the dynamics of the native ensemble in opposing ways. The results provide evidence in support of the counteraction aspect of the urea:TMAO paradigm linking structural dynamics with protein function in urea-rich organs and organisms. RNase A is so resistant to urea denaturation at pH* 6.35 that even in the presence of 4.8 M urea, the native ensemble accounts for >99.5% of the protein. An essential test, devised to determine the HX mechanism of exchangeable protons, shows that over the 0-4.8 M urea concentration range nearly 80% of all observed sites convert from EX2 to EX1. The slow exchange sites are all EX1; they do not exhibit global exchange even at urea concentrations (5.8 M) well into the denaturation transition zone, and their energetically distinct activated complexes leading to exchange gives evidence of residual structure. Under these experimental conditions, the use of DeltaG(HX) as a basis for HX analysis of RNase A urea denaturation is invalid.

Adaptation, Physiological↗

PubMed2002

Efficacy of macromolecular crowding in forcing proteins to fold.

The intrinsically unstructured protein, reduced and carboxyamidated RNase T1 (TCAM) was used to determine the degree to which macromolecular crowding agents increase the equilibrium constant for folding. TCAM is not catalytically active in an aqueous assay system alone, but becomes catalytically active on addition of 400 mg/ml dextran 70. The activity observed accounts for approximately 16% of the total available TCAM in solution. We interpret this result to mean that 16% of the TCAM becomes folded protein in the presence of the 400 mg/ml dextran 70, and this translates into an approximately five-fold increase in the equilibrium constant for folding. Sarcosine-induced folding of TCAM was performed in the presence of 0, 100, 200 and 300 mg/ml dextran 70, and apparent deltaG(o)(N-D) values determined from the linear extrapolation method provide an estimated 22% folded TCAM formed in the limit of zero sarcosine concentration and in presence of 400 mg/ml dextran 70. The increase in TCAM folding equilibrium constant using this method of determination is approximately 7.5-fold. Overall, the results indicate that macromolecular crowding agents are only modestly effective in promoting folding of this intrinsically unstructured protein.

Catalysis↗