Biomedical subjects

L Willard

Publications and source records attributed to L Willard.

5 recordsLinked to original sources

PubMed2006

Ultrastructure of Babesia WA1 (Apicomplexa: Piroplasma) during infection of erythrocytes in a hamster model.

Babesia Washington-1 (WA1) is a newly identified intraerythrocyte infectious agent of human babesiosis in the western United States. The purpose of the present study is to describe the ultrastructural changes in affected erythrocytes during the infectious process in a susceptible animal model, the golden Syrian hamster. Two, 1-mo-old female hamsters were inoculated intraperitoneally (i.p.) with 1.8 x 10(9) Babesia WA1-infected erythrocytes originally isolated from a human case and serially passaged in hamsters. Saphenous vein blood samples (20 microl) were collected at 0, 24, 36, 48, 60, 72, 84, and 96 hr postinoculation (PI). Parasitemia was determined at each time interval by quick staining of blood smears showing 0, 2.5, 5, 10, 12.5, 22.5, 70, and almost 100% parasitemic erythrocytes at the corresponding PI time interval, respectively. Animals showed weakness and dehydration 72 hr PI inoculation, and were killed by 96 hr PI. Selected blood samples from 0, 24, 48, 72, and 96 hr were fixed in cacodylate buffer, dehydrated in ethanol gradients, resin embedded, and then thin sectioned and stained with uranyl acetate and lead citrate for transmission electron microscopy or gold-coated for scanning electron microscopy (SEM). Shape and surface membrane changes in erythrocytes were demonstrated by SEM and were more evident at 72 and 96 hr PI. Infected erythrocytes underwent changes in shape 24 hr PI, from few protrusions to several perforations, some of them resembling a "swiss cheese" appearance 96 hr PI. Several erythrocytes had irregular surface membranes and Babesia WA1 organisms were seen at different stages of development within erythrocytes, from single trophozoites to several merozoites (young trophozoites), some of them dividing to form typical tetrads. In general, Babesia WAI induced severe morphological changes in the erythrocytes, and these changes were more evident in almost all infected cells 96 hr PI.

Animals↗

PubMed2000

Structure-based thermodynamic analysis of the dissociation of protein phosphatase-1 catalytic subunit and microcystin-LR docked complexes.

The relationship between the structure of a free ligand in solution and the structure of its bound form in a complex is of great importance to the understanding of the energetics and mechanism of molecular recognition and complex formation. In this study, we use a structure-based thermodynamic approach to study the dissociation of the complex between the toxin microcystin-LR (MLR) and the catalytic domain of protein phosphatase-1 (PP-1c) for which the crystal structure of the complex is known. We have calculated the thermodynamic parameters (enthalpy, entropy, heat capacity, and free energy) for the dissociation of the complex from its X-ray structure and found the calculated dissociation constant (4.0 x 10(-11)) to be in excellent agreement with the reported inhibitory constant (3.9 x 10(-11)). We have also calculated the thermodynamic parameters for the dissociation of 47 PP-1c:MLR complexes generated by docking an ensemble of NMR solution structures of MLR onto the crystal structure of PP-1c. In general, we observe that the lower the root-mean-square deviation (RMSD) of the docked complex (compared to the X-ray complex) the closer its free energy of dissociation (deltaGd(o)) is to that calculated from the X-ray complex. On the other hand, we note a significant scatter between the deltaGd(o) and the RMSD of the docked complexes. We have identified a group of seven docked complexes with deltaGd(o) values very close to the one calculated from the X-ray complex but with significantly dissimilar structures. The analysis of the corresponding enthalpy and entropy of dissociation shows a compensation effect suggesting that MLR molecules with significant structural variability can bind PP-1c and that substantial conformational flexibility in the PP-1c:MLR complex may exist in solution.

Bacterial Toxins↗

PubMed1998

CAMRA: chemical shift based computer aided protein NMR assignments.

A suite of programs called CAMRA (Computer Aided Magnetic Resonance Assignment) has been developed for computer assisted residue-specific assignments of proteins. CAMRA consists of three units: ORB, CAPTURE and PROCESS. ORB predicts NMR chemical shifts for unassigned proteins using a chemical shift database of previously assigned homologous proteins supplemented by a statistically derived chemical shift database in which the shifts are categorized according to their residue, atom and secondary structure type. CAPTURE generates a list of valid peaks from NMR spectra by filtering out noise peaks and other artifacts and then separating the derived peak list into distinct spin systems. PROCESS combines the chemical shift predictions from ORB with the spin systems identified by CAPTURE to obtain residue specific assignments. PROCESS ranks the top choices for an assignment along with scores and confidence values. In contrast to other auto-assignment programs, CAMRA does not use any connectivity information but instead is based solely on matching predicted shifts with observed spin systems. As such, CAMRA represents a new and unique approach for the assignment of protein NMR spectra. CAMRA will be particularly useful in conjunction with other assignment methods and under special circumstances, such as the assignment of flexible regions in proteins where sufficient NOE information is generally not available. CAMRA was tested on two medium-sized proteins belonging to the chemokine family. It was found to be effective in predicting the assignment providing a database of previously assigned proteins with at least 30% sequence identity is available. CAMRA is versatile and can be used to include and evaluate heteronuclear and three-dimensional experiments.

Amino Acid Sequence↗

PubMed1994

SEQSEE: a comprehensive program suite for protein sequence analysis.

SEQSEE (SEQuence SEEker) is a multi-purpose, menu-driven suite of programs designed to provide a fully integrated, state-of-the-art package for the analysis and display of protein sequences and protein databases. It is currently configured to run on most UNIX-based machines including Sun, SGI and NeXT workstations with conversion to other architectures (e.g. Vax or Cray) being a relatively simple task. SEQSEE is capable of performing nearly all of the analytical and comparative tasks found in most comprehensive commercially available software packages. These include sequence/database searching, sequence retrieval, sequence entry and editing, statistical sequence analysis, multiple sequence alignment, flexible pattern matching, and secondary structure prediction. SEQSEE also integrates a number of unique databases which allow it to perform many additional functions such as structure-based sequence alignments and homology-based secondary structure prediction. Additional enhancements to many previously published algorithms have substantially improved the performance of SEQSEE over that found for most other commercial products. The source code, the documentation and all of the required databases for SEQSEE are freely available and may be obtained by anonymous ftp.

Algorithms↗

PubMedDate not supplied

[X chromosome inactivation pattern in elderly women over 70 years of age].

In the present study we have analyzed X chromosome inactivation patterns in 40 women aged from 74 to 85 years (mean age 78 years). The control group was 36 women (mean age 30 years). The most common AR-assay was used to determine X-inactivation patterns (the study of methylation patterns of HpaII site in human androgen receptor gene (HUMARA) by quantative PCR). The age dependence of X-inactivation was not observed. We have detected skewed X-inactivation in three women among 40 (7.5%) elderly women comparing to two women among 36 (5.5%) women from control group. The difference was not found to be statistically significant. We made a suggestion that higher incidence of skewed X-inactivation in elderly women revealed by previous studies could occur due to some experimental ambiguities as heterogeneity of the group studied; inclusion of women having relatives with genetic abnormalities associated with skewed X-inactivation patterns; the difference of X chromosome inactivation skewing determination. We conclude that present study does not show X chromosome inactivation to be age dependent.

Adolescent↗