PubMed · 11320820
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P R Preussner, J Wahl, H Lahdo, O Findl. 2001. [Consistent IOL calculation].. https://doi.org/10.1007/s003470170166
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The use of synthetic combinatorial peptide libraries in positional scanning format (PS-SCL) has emerged recently as an alternative approach for the identification of peptides recognized by T lymphocytes. The choice of both the PS-SCL used for screening experiments and the method used for data analysis are crucial for implementing this approach. With this aim, we tested the recognition of different PS-SCL by a tyrosinase 368-376-specific CTL clone and analyzed the data obtained with a recently developed biometric data analysis based on a model of independent and additive contribution of individual amino acids to peptide antigen recognition. Mixtures defined with amino acids present at the corresponding positions in the native sequence were among the most active for all of the libraries. Somewhat surprisingly, a higher number of native amino acids were identifiable by using amidated COOH-terminal rather than free COOH-terminal PS-SCL. Also, our data clearly indicate that when using PS-SCL longer than optimal, frame shifts occur frequently and should be taken into account. Biometric analysis of the data obtained with the amidated COOH-terminal nonapeptide library allowed the identification of the native ligand as the sequence with the highest score in a public human protein database. However, the adequacy of the PS-SCL data for the identification for the peptide ligand varied depending on the PS-SCL used. Altogether these results provide insight into the potential of PS-SCL for the identification of CTL-defined tumor-derived antigenic sequences and may significantly implement our ability to interpret the results of these analyses.
Familiarity with experimental design and statistical analysis techniques is necessary for investigators to conduct state-of-the-art research in clinical medicine. A wide range of options for biostatistical training is available. These include formal academic courses for credit, one-on-one education offered under the guise of consultation, self-paced textbook or computer learning, intensive short courses, portions of extended courses spanning an assortment of other subjects, and a continuing series of seminars or lectures covering selected topics in statistics. The latter structure is described in this article. We offered an eight-week lecture series focusing on a new topic in biostatistics each week. The course targeted clinical faculty, postdoctoral fellows, residents, and other interested research staff at a large medical research institution. The series focused on interpretation of medical journal articles with regard to statistical issues. Another objective was to provide information to increase a participant's expertise in the design of research studies. Guidance was offered for effective communication with collaborating biostatisticians. The format and contents of the seminar series are described. Aspects of the course that proved to be successful are discussed.