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Biomedical subjects

Xuejun Sun

Publications and source records attributed to Xuejun Sun.

16 recordsLinked to original sources

DNA stability in the gas versus solution phases: a systematic study of thirty-one duplexes with varying length, sequence, and charge level.

We report herein a systematic mass spectrometric study of a series of thirty-one non-self-complementary, matched, DNA duplexes ranging in size from 5- to 12-mers. The purpose of this work is threefold: (1) to establish the viability of using mass spectrometry as a tool for examining solution phase stabilities of DNA duplexes; (2) to systematically assess gas-phase stabilities of DNA duplexes; and (3) to compare gas and solution phase stabilities in an effort to understand how media affects DNA stability. These fundamental issues are of importance both on their own, and also for harnessing the potential of mass spectrometry for biological applications. We have found that ion abundances do not always track with solution phase stability; GC content must be taken into account. Two duplexes with the same Tm yet with differing GC content can yield different ion abundances. That is, if two duplexes have the exact same melting temperature, yet one has a higher GC content, the duplex with the higher GC content yields a higher ion abundance. It thus appears that not only is a GC base pair stronger than an AT base pair, but the relative strengths of each differ in the gas phase versus in solution, such that the electrospray process can differentiate between them. We also characterize the gas-phase stabilities of the duplexes, using collision-induced dissociation (CID) as a method to assess stability. We focus on two aspects of this CID experiment. One, we examine what factors appear to control whether the duplexes dissociate into single strands or covalently fragment; we are able to utilize a charge state normalization we coin "charge level" to compare our results with others' and establish generalities regarding dissociation versus fragmentation patterns. Two, we examine those duplexes that primarily dissociate and use CID to assess the gas-phase stabilities. We find that correlation of gas-phase to solution-phase stabilities is more likely to occur when duplexes of varying GC content are examined. Duplexes with the same GC content tend to have stabilities that do not parallel those in solution. We discuss these results in light of the different roles that hydrogen bonding and base stacking play in solution versus the gas phase. Ultimately, we apply what we learn to lend insight into the biological problem of how the carcinogenic, damaged nucleobase O6-methylguanine causes mutations.

Chemical Phenomena↗

Characterization of the transport mechanism and permeant binding profile of the uridine permease Fui1p of Saccharomyces cerevisiae.

The uptake of Urd into the yeast Saccharomyces cerevisiae is mediated by Fui1p, a Urd-specific nucleoside transporter encoded by the FUI1 gene and a member of the yeast Fur permease family, which also includes the uracil, allantoin, and thiamine permeases. When Fui1p was produced in a double-permease knock-out strain (fur4Deltafui1Delta) of yeast, Urd uptake was stimulated at acidic pH and sensitive to the protonophore carbonyl cyanide m-chlorophenylhydrazone. Electrophysiological analysis of recombinant Fui1p produced in Xenopus oocytes demonstrated that Fui1p-mediated Urd uptake was dependent on proton cotransport with a 1:1 stoichiometry. Mutagenesis analysis of three charged amino acids (Glu(259), Lys(288), and Asp(474) in putative transmembrane segments 3, 4, and 7, respectively) revealed that only Lys(288) was required for maintaining high Urd transport efficiency. Analysis of binding energies between Fui1p and different Urd analogs indicated that Fuip1 interacted with C(3')-OH, C(2')-OH, C(5)-H, and N(3)-H of Urd. Fui1p-mediated transport of Urd was inhibited by analogs with modifications at C-5', but was not inhibited significantly by analogs with modifications at C-3', C-5, and N-3 or inversions of configuration at C-2' and C-3'. This characterization of Fui1p contributes to the emerging knowledge of the structure and function of the Fur family of permeases, including the Fui1p orthologs of pathogenic fungi.

Animals↗

Studies of nucleoside transporters using novel autofluorescent nucleoside probes.

To better understand nucleoside transport processes and intracellular fates of nucleosides, we have developed a pair of fluorescent nucleoside analogues, FuPmR and dFuPmR, that differ only in the sugar moiety (ribofuranosyl versus 2'-deoxy, respectively), for real-time analysis of nucleoside transport into living cells by confocal microscopy. The binding and transportability of the two compounds were assessed for five recombinant human nucleoside transporters (hENT1/2, hCNT1/2/3) produced in Saccharomyces cerevisiae and/or oocytes of Xenopus laevis. The ribosyl derivative (FuPmR) was used to demonstrate proof of principle in live cell imaging studies in 11 cultured human cancer cell lines with different hENT1 activities. The autofluorescence emitted from FuPmR enabled direct visualization of its movement from the extracellular medium into the intracellular compartment of live cells, and this process was blocked by inhibitors of hENT1 (nitrobenzylmercaptopurine ribonucleoside, dipyridamole, and dilazep). Quantitative analysis of fluorescence signals revealed two stages of FuPmR uptake: a fast first stage that represented the initial uptake rate (i.e., transport rate) followed by a slow long-lasting second stage. The accumulation of FuPmR and/or its metabolites in nuclei and mitochondria was also visualized by live cell imaging. Measurements of fluorescence intensity increases in nuclei and mitochondria revealed rate-limited processes of permeant translocation across intracellular membranes, demonstrating for the first time the intracellular distribution of nucleosides and/or nucleoside metabolites in living cells. The use of autofluorescent nucleosides in time-lapse confocal microscopy is a novel strategy to quantitatively study membrane transport of nucleosides and their metabolites that will provide new knowledge of nucleoside biology.

Animals↗

3D computerized segmentation of lung volume with computed tomography.

Three-dimensional (3D)-based detection and diagnosis has an important role for significantly improving the detection and diagnosis of lung cancer upon computed tomography (CT). This report presents a 3D-based method for segmenting and visualizing lung volume by using CT images. An anisotropic filtering method was developed on CT slices to enhance the signal-to-noise ratio, and a wavelet transform-based interpolation method was used combined with volume rendering to construct the 3D volumetric data based on entire CT slices. Then an adaptive 3D region-growing algorithm was designed to segment lung volume, incorporated by automatic seed-locating methods through fuzzy logic algorithms and 3D morphological closing approaches. In addition, a 3D visualization tool was designed to view volumetric data, projections, or intersections of the lung volume at any view angle. This segmentation method was tested on single-detector CT images by percentage of volume overlap and percentage of volume difference. The experiment results show that the developed 3D-based segmentation method is effective and robust. This study lays the groundwork for 3D-based computerized detection and diagnosis of lung cancer with CT imaging. In addition, this approach can be integrated into a picture archiving and communication system serving as a visualization tool for radiologists' reading and interpretation.

Algorithms↗

Elevation of cellular BPDE uptake by human cells: a possible factor contributing to co-carcinogenicity by arsenite.

BACKGROUND: Arsenite (iAsIII) can promote mutagenicity and carcinogenicity of other carcinogens. Considerable attention has focused on interference with DNA repair by inorganic arsenic, especially the nucleotide excision repair (NER) pathway, whereas less is known about the effect of arsenic on the induction of DNA damage by other agents. OBJECTIVES: We examined how arsenic modulates DNA damage by other chemicals. METHODS: We used an NER-deficient cell line to dissect DNA damage induction from DNA repair and to examine the effects of iAsIII on the formation of benzo[a]pyrene diol epoxide (BPDE)-DNA adducts. RESULTS: We found that pretreatment with iAsIII at subtoxic concentrations (10 microM) led to enhanced formation of BPDE-DNA adducts. Reduced glutathione levels, glutathione S-transferase activity and chromatin accessibility were also measured after iAsIII treatment, but none of these factors appeared to account for the enhanced formation of DNA adducts. However, we found that pretreatment with iAsIII increased the cellular uptake of BPDE in a dose-dependent manner. CONCLUSIONS: Our results suggest that iAsIII enhanced the formation of BPDE-DNA adducts by increasing the cellular uptake of BPDE. Therefore, the ability of arsenic to increase the bioavailability of other carcinogens may contribute to arsenic co-carcinogenicity.

7,8-Dihydro-7,8-dihydroxybenzo(a)pyrene 9,10-oxide↗

[Synthesis of 1-[2-(p-toluenesulfonate)ethyl]-2-phenylimidazole [4,5-f]9,10-phenanthrene and its application for analysis of long-chain fatty acids].

A simple and sensitive method for the determination of long-chain free fatty acids (FFAs) using 1-[2-(p-toluenesulfonate) ethyl]-2-phenylimidazole [4, 5-f] 9, 10-phenanthrene (TSEPIP) as pre-column derivatization reagent by reversed-phase high performance liquid chromatography with fluorescence detection and mass spectrometric identification was developed. Eleven long-chain (C20-C30) FFA derivatives were separated on Eclipse XDB-C8 column with a good baseline resolution. Studies on derivatization conditions indicate that FFA reacts rapidly and smoothly with TSEPIP in the presence of K2CO3, catalyst at 90 degrees C in N, N-dimethylformamide solvent to give the corresponding sensitively fluorescent derivatives with maximal yields close to 100% with a 5-fold molar reagent excess. The identification of 11 FFA derivatives was carried out by online post-column mass spectrometry with atmospheric pressure chemical ionization source in positive-ion mode. The contents of 11 FFAs in soil and three bryophytes (Homomallium connexum (Card.) Broth., Actinothuidium hookeri, Neckera pennata) were determined. The results indicate that the bryophyte plants enrich an abundance of FFAs from soil. The excitation and emission wavelengths of fluorescence detection were set at 260 nm and 380 nm, respectively. Linear correlation coefficients for the most FFA derivatives were higher than 0.9996, and the detection limits (at signal-to-noise of 3:1) were 26.19-76.67 fmol. The method is sensitive and reproducible for the determination of long-chain FFAs in real samples.

Bryophyta↗

Dynamic nature of cleavage bodies and their spatial relationship to DDX1 bodies, Cajal bodies, and gems.

DDX1 bodies, cleavage bodies, Cajal bodies (CBs), and gems are nuclear suborganelles that contain factors involved in RNA transcription and/or processing. Although all four nuclear bodies can exist as distinct entities, they often colocalize or overlap with each other. To better understand the relationship between these four nuclear bodies, we examined their spatial distribution as a function of the cell cycle. Here, we report that whereas DDX1 bodies, CBs and gems are present throughout interphase, CPSF-100-containing cleavage bodies are predominantly found during S and G2 phases, whereas CstF-64-containing cleavage bodies are primarily observed during S phase. All four nuclear bodies associate with each other during S phase, with cleavage bodies colocalizing with DDX1 bodies, and cleavage bodies/DDX1 bodies residing adjacent to gems and CBs. Although inhibitors of RNA transcription had no effect on DDX1 bodies or cleavage bodies, inhibitors of DNA replication resulted in loss of CstF-64-containing cleavage bodies. A striking effect on nuclear structures was observed with latrunculin B, an inhibitor of actin polymerization, resulting in the formation of needlelike nuclear spicules made up of CstF-64, CPSF-100, RNA, and RNA polymerase II. Our results suggest that cleavage body components are highly dynamic in nature.

Actins↗

Standardization for image characteristics in telemammography using genetic and nonlinear algorithms.

As the soft copy reading and computer assisted diagnosis (CAD) in mammography become more and more important, the standardization of digital images becomes paramount. Telemammography and telemedicine requires the standardization for image characteristics, such as image resolution, bit-depth and intensity response. Soft copy reading and CAD in mammography are both dependent on the characteristics of the source of the digital data, either direct digital mammography or digitized screen-film mammography. An algorithm developed on images from one database may not perform well as on images from another database (with a different digitization). In this paper, we describe two methods based on a genetic algorithm and a nonlinear algorithm for standardization of digitized and digital mammography. The proposed standardization techniques are based on geometric and intensity transformations that are discovered using a set of calibration images. A set of transformation algorithm is used to search for the best standardization.

Algorithms↗

Deletion of two C-terminal Gln residues of 12-26-residue fragment of melittin improves its antimicrobial activity.

In our previous paper it was shown that the two C-terminal Gln residues of a C-terminal 15-residue fragment, Mel(12-26) (GLPALISWIKRKRQQ-NH2), of melittin and a series of individual substituted analogues might not involved in the interaction with bacterial membranes. In this paper, peptides with one and two Gln residues deletion, respectively, Mel(12-25) and Mel(12-24), were synthesized and characterized. Both of the deletion peptides showed higher antimicrobial activities than the parent peptide, Mel(12-26). If both of the Gln residues of Mel(12-26) were respectively replaced by a hydrophilic amino acid Gly, the antimicrobial activity increased slightly. If the Gln residue of Mel(12-25) was replaced by a hydrophobic amino acid Leu, the antimicrobial activity changed little, although the substituted peptide possessed much higher hydrophobicity and higher alpha-helical conformation percentage in 1,1,1,3,3,3-hexafluoro-2-propanol/water determined by circular dichroism spectroscopy (CD) than the parent peptide. These results indicated that the two C-terminal residues might be indeed not involved in the binding to bacterial membranes. The antimicrobial activity increasing with the residue deletion may be caused by the decrease of the translational and rotational entropic cost of the binding of the peptides to bacterial membranes because of the lower molecular weights of the deletion peptides.

Animals↗

An artificial neural network for predicting the incidence of radiation pneumonitis.

A method to predict radiation-induced pneumonitis (RP) using an artificial neural network (ANN) was investigated. A retrospective study was applied to the clinical data from 142 patients who have been treated with three-dimensional conformal radiotherapy for tumors in the thoracic region. These data were classified, based on their treatment outcome, into two patient clusters: with RP (Np=26) and without RP (Np= 116). An ANN was designed as a classifier. To perform the classification, a patient-treatment outcome with RP was assigned a value of 1, and a patient treatment outcome without RP was assigned a value of -1. The input of the ANN was limited to the patient lung dose-volume data only. A volume vector (VD) that describes patient lung subvolumes receiving more than a set of threshold doses was used as the network input variable. A zero value was used as the threshold to set the output value into -1 or 1. Three ANNs (ANN_1, ANN_2, and ANN_3), each with three layers, were trained to perform this classification function and to show the effect of training data on the ANN performance. Radial basis function was applied as the hidden layer neuron activation function and a sigmoid function was selected as the output layer neuron function. Backpropagation with a conjugate gradient algorithm was used to train the network. ANN_1 was trained and tested by using the leave-one-out method. ANN_2 was trained by randomly selecting 2/3 of the patient data, and tested by the remaining 1/3 of the data. ANN_3 was trained by a user selecting 2/3 of the patient data, and tested by the remaining 1/3 of the data. The predictive accuracy was verified as the area under a receiver operator characteristic (ROC) curve. The correct classification rates of 73% for RP cases, and 99% for non-RP cases were obtained from ANN_1. The corresponding correct classification rates of 44% for RP cases, and 89% for non-RP cases were obtained from ANN_2. From the ANN_3 test phase, the corresponding correct classification rates of 55% for RP cases, and 95% non-RP cases were achieved. The area under ROC curve was 0.85+/-0.05, 0.68+/-0.10, and 0.81+/-0.09 for ANN_1, ANN _2, and ANN_3, respectively, within its asymmetric 95% confidence interval. The sensitivity was 95%, 57%, and 71%, and the specificity was 94%, 88%, and 90% for ANN_1, ANN_2, and ANN_3, respectively. Preliminary results suggest that the ANN approach provides a useful tool for the prediction of radiation-induced lung pneumonitis, using the patient lung dose-volume information.

Algorithms↗

Ipsilateral-mammogram computer-aided detection of breast cancer.

In this paper, an ipsilateral multi-view computer-aided detection (CAD) scheme is presented for mass detection in digital mammograms by exploiting correlative information of suspicious lesions between mammograms of the same breast. After nonlinear tree-structured filtering for image noise suppression, two wavelet-based methods, directional wavelet transform and tree-structured wavelet transform for image enhancement, and adaptive fuzzy C-means algorithm for segmentation are employed on each mammograms of the same breast, respectively, concurrent analysis is developed for iterative analysis of ipsilateral multi-view mammograms by inter-projective feature matching analysis. A supervised artificial neural network is developed as a classifier, in which the back-propagation algorithm combined with Kalman filtering is used as training algorithm, and free-response receiver operating characteristic analysis is used to test the performance of the developed unilateral CAD system. Performance comparison has been conducted between the final ipsilateral multi-view CAD system and our previously developed single-mammogram-based CAD system. The study results demonstrate the advantages of ipsilateral multi-view CAD method combined with concurrent analysis over current single-view CAD system on false positive reduction.

Breast Neoplasms↗

Individual substitution analogs of Mel(12-26), melittin's C-terminal 15-residue peptide: their antimicrobial and hemolytic actions.

Residues 1-9 of M(12-26) (GLPALISWIKRKRQQ-NH2), the C-terminal 15-residue segment of melittin, were substituted individually to change the hydropathicities in these positions. Antimicrobial and hemolytic activities of these peptides were determined. The results showed increased antimicrobial activities with increased hydrophobicities at almost all the positions studied. The effects at positions 2, 5, 8 and 9 were significant while the effects at the other positions were small. These two groups of residues were located on the opposite faces of the alpha-helix. In other words, the hydrophobicities of the two faces were favorable, but one face (the more favorable face) contributed more to the antimicrobial activities than the other (the less favorable face). The hydrophobicity, not the amphipathicity, seems to be crucial for antimicrobial activity. In contrast, the hydrophobicity of one face was favorable but the other was unfavorable for the hemolytic activity, indicating that the amphipathicity may be important for hemolysis. Interestingly, the more favorable face for antimicrobial activity was located opposite to the favorable face for hemolytic activity, indicating the direction of the hydrophobic face for the antimicrobial activity and direction of the amphipathicity for the hemolytic activity were also important.

Amino Acid Sequence↗

Genetic predisposition to the cytotoxicity of arsenic: the role of DNA damage and ATM.

Arsenic is a pervasive cytotoxin and carcinogen in the environment. Although its mode of action has yet to be fully elucidated, oxidative DNA damage has been suggested. A series of DNA repair-defective human and hamster cell lines associated with sensitivity to oxidative agents were examined for their response to arsenic-induced cytotoxicity. Only the Ataxia telangiectasia (AT) cells displayed a marked hypersensitive response (greater than twofold). The protective role of the ATM protein was confirmed by the normal response to arsenic displayed by AT cells expressing wild-type ATM. Although the ATM protein plays a pivotal role in response to DNA double-strand breakage, none of the other cell lines with defects in double-strand break repair displayed a similar hypersensitivity. Further examination indicated that concentrations of sodium arsenite as high as 1 mg/l do not generate significant levels of double-strand breaks. Our data suggest that the ATM protein functions in an important but different capacity in the cellular response to arsenic toxicity than it does in response to agents that generate double-strand breaks, such as ionizing radiation. Furthermore, the lack of hypersensitivity to arsenic displayed by the other cell lines calls into question the hypothesis that DNA damage is a significant factor in arsenic cytotoxicity.

Animals↗

RHAMM is a centrosomal protein that interacts with dynein and maintains spindle pole stability.

The receptor for hyaluronan-mediated motility (RHAMM), an acidic coiled coil protein, has previously been characterized as a cell surface receptor for hyaluronan, and a microtubule-associated intracellular hyaluronan binding protein. In this study, we demonstrate that a subset of cellular RHAMM localizes to the centrosome and functions in the maintenance of spindle integrity. We confirm a previous study showing that the amino terminus of RHAMM interacts with microtubules and further demonstrate that a separate carboxy-terminal domain is required for centrosomal targeting. This motif overlaps the defined hyaluronan binding domain and bears 72% identity to the dynein interaction domain of Xklp2. RHAMM antibodies coimmunprecipitate dynein IC from Xenopus and HeLa extracts. Deregulation of RHAMM expression inhibits mitotic progression and affects spindle architecture. Structure, localization, and function, along with phylogenetic analysis, suggests that RHAMM may be a new member of the TACC family. Thus, we demonstrate a novel centrosomal localization and mitotic spindle-stabilizing function for RHAMM. Moreover, we provide a potential mechanism for this function in that RHAMM may cross-link centrosomal microtubules, through a direct interaction with microtubules and an association with dynein.

Centrosome↗

The myxoma poxvirus protein, M11L, prevents apoptosis by direct interaction with the mitochondrial permeability transition pore.

M11L, an antiapoptotic protein essential for the virulence of the myxoma poxvirus, is targeted to mitochondria and prevents the loss of mitochondrial membrane potential that accompanies cell death. In this study we show, using a cross-linking approach, that M11L physically associates with the mitochondrial peripheral benzodiazepine receptor (PBR) component of the permeability transition (PT) pore. Close association of M11L and the PBR is also indicated by fluorescence resonance energy transfer (FRET) analysis. Stable expression of M11L prevents the release of mitochondrial cytochrome c induced by staurosporine or protoporphyrin IX (PPIX), a ligand of the PBR. Transiently expressed M11L also prevents mitochondrial membrane potential loss induced by PPIX, or induced by staurosporine in combination with PK11195, another ligand of the PBR. Myxoma virus infection and the associated expression of early proteins, including M11L, protects cells from staurosporine- and Fas-mediated mitochondrial membrane potential loss and this effect is augmented by the presence of PBR. We conclude that M11L regulates the mitochondrial permeability transition pore complex, most likely by direct modulation of the PBR.

Animals↗

An improved method of region grouping for microcalcification detection in digital mammograms.

A very important issue, namely region grouping, in computer-assisted diagnostic detection of microcalcification clusters (MCC) in digital mammograms is addressed in this work. In the diagnosis of breast cancer, MCC, instead of single and isolated microcalcifications, are considered clinically significant. Grouping individual regions segmented from digital mammograms, therefore, should be a component in an automatic MCC detection system. Actually this component may concern several system modules, such as segmentation, feature extraction, performance estimation aiming at both algorithm optimization and consistent evaluation and ultimately computerized malignancy estimation of calcified lesions. The previous work in the literature used a kernel-based method for region grouping. We proposed a distance-based and dense-to-sparse grouping method. The grouping result should be independent of the size, shape and orientation of real clusters. The application, namely cluster-oriented analysis including an adaptive segmentation method and cluster level feature extraction scheme, is discussed. A preliminary study was performed on a set of 30 full mammograms at 60 microm resolution, containing 40 MCC. The introduction of the cluster level feature extraction and a simple rule-based method reduces false positives from 7.1 to 2.4 per image at the sensitivity of 92.5%. This grouping method provides a solid basis for effective feature extraction-analysis and candidate cluster classification.

Algorithms↗