PubMed Health⌕ Search

Biomedical subjects

David S Thaler

Publications and source records attributed to David S Thaler.

2 recordsLinked to original sources

Signal and noise in bridging PCR.

BACKGROUND: In a variant of the standard PCR reaction termed bridging, or jumping, PCR the primer-bound sequences are originally on separate template molecules. Bridging can occur if, and only if, the templates contain a region of sequence similarity. A 3' end of synthesis in one round of synthesis that terminates in this region of similarity can prime on the other. In principle, Bridging PCR (BPCR) can detect a subpopulation of one template that terminates synthesis in the region of sequence shared by the other template. This study considers the sensitivity and noise of BPCR as a quantitative assay for backbone interruptions. Bridging synthesis is also important to some methods for computing with DNA. RESULTS: In this study, BPCR was tested over a 328 base pair segment of the E. coli lac operon and a signal to noise ratio (S/N) of approximately 10 was obtained under normal PCR conditions with Taq polymerase. With special precautions in the case of Taq or by using the Stoffel fragment the S/N was improved to 100, i.e. 1 part of cut input DNA yielded the same output as 100 parts of intact input DNA. CONCLUSIONS: In the E. coli lac operator region studied here, depending on details of protocol, between 3 and 30% per kilobase of final PCR product resulted from bridging. Other systems are expected to differ in the proportion of product that is bridged consequent to PCR protocol and the sequence analyzed. In many cases physical bridging during PCR will have no informational consequence because the bridged templates are of identical sequence, but in a number of special cases bridging creates, or, destroys, information.

DNA, Bacterial↗

Design for an aging brain.

Vaillancourt and Newell (Neurobiol. of Aging 2001) show that although many aging systems decrease in complexity as anticipated by Lipsitz and Goldberger (JAMA 1992), other aging systems increase in complexity. Vaillancourt and Newell explain the discrepancy by proposing that systems with a point attractor decrease in complexity with age, whereas those with an oscillating attractor increase in complexity with age. Vaillancourt and Newell are certainly correct that no one direction fits all results. Aging and death sometimes follow from a system being too simple, or, too complex. A perspective, based on the work of W. Ross Ashby (1956 and http://pespmc1.vub.ac.be/ASHBBOOK.html) is used in this commentary to consider why some systems become apparently more simple and others more complex as they age. In this Ashby-inspired view the measured complexity of a system's Responses to Disturbances is proportional to the ratio D/R, where D and R are sets containing the variety of possible disturbances and responses. The model expands on Ashby's by proposing that D consists of two components, Dp and Du. Dp consists of disturbances that are a function of the system's perception. Responses to Dp are often anticipatory and the response itself dominates the outcome. Du are disturbances that are unavoidable. Outcomes decrease or increase in measured entropy as a function of changes in (Dp + Du)/R. The variety of elements in both Dp and R decrease with age. When D/R decreases with age, the system shows less complexity. Conversely when D/R increases with Age, the results become more entropic.

Aged↗