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Sarah Stoltzner

Publications and source records attributed to Sarah Stoltzner.

3 recordsLinked to original sources

Biogenesis and replication of small plasmid-like derivatives of the mitochondrial DNA in Neurospora crassa.

For reasons that are not obvious, sets of related, small, plasmid-like elements appear spontaneously and become amplified in the mitochondria of some cytochrome-deficient and/or UV-sensitive mutants of Neurospora crassa. These plasmid-like DNAs are multimeric series of circular molecules, each consisting of a finite number of identical tandem repeats of a relatively short mtDNA-derived nucleotide sequence (monomer). The plasmid-like elements that have been characterized in this study consist of monomers that vary in length from 125 to 296 base pairs, depending on the strain of origin. Each monomer includes a GC-rich palindrome that is followed by the promoter and a short section of the 5' terminal region of the mitochondrial large-subunit rRNA gene (rnl). Analyses of the nucleotide sequences of variants of this group of elements indicates that they are not generated by intra-molecular recombination, but are the result of single- or double-strand DNA breaks that are produced by a mismatch or base excision repair process. These elements do not appear to contain a defined origin of replication, but replicate by a recombination-dependent rolling-circle mechanism. One- and two-dimensional gel electrophoresis of the plasmid-like element derived Hind III and Pst I fragments combined with S1 nuclease treatments suggest that the intergenic GC-rich palindromes, which are ubiquitous in the mtDNA Neurospora, could be replication fork pausing points.

Base Sequence↗

Quantitative comparison of four brain extraction algorithms.

In a companion paper (Rehm et al., 2004), we introduced Minneapolis Consensus Strip (McStrip), a hybrid algorithm for brain/non-brain segmentation. In this paper, we compare the performance of McStrip and three brain extraction algorithms (BEAs) in widespread use within the neuroimaging community--Statistical Parametric Mapping v.2 (SPM2), Brain Extraction Tool (BET), and Brain Surface Extractor (BSE)--to the "gold standard" of manually stripped T1-weighted MRI brain volumes. Our comparison was based on quantitative boundary and volume metrics, reproducibility across repeat scans of a single subject, and assessments of performance consistency across datasets acquired on different scanners at different institutions. McStrip, a hybrid method incorporating warping to a template, intensity thresholding, and edge detection, consistently outperformed SPM2, BET, and BSE, all of which rely on a single algorithmic strategy.

Algorithms↗

Putting our heads together: a consensus approach to brain/non-brain segmentation in T1-weighted MR volumes.

We describe an approach to brain extraction from T1-weighted MR volumes that uses a hierarchy of masks created by different models to form a consensus mask. The algorithm (McStrip) incorporates atlas-based extraction via nonlinear warping, intensity-threshold masking with connectivity constraints, and edge-based masking with morphological operations. Volume and boundary metrics were computed to evaluate the reproducibility and accuracy of McStrip against manual brain extraction on 38 scans from normal and ataxic subjects. McStrip masks were reproducible across six repeat scans of a normal subject and were significantly more accurate than the masks produced by any of the individual algorithmic components.

Algorithms↗