Developments in Animal and Veterinary Sciences ; 31
First edition 2 svazky (A, B) : ilustrace ; 25 cm
- MeSH
- Animal Use Alternatives MeSH
- Animals, Laboratory MeSH
- Models, Animal MeSH
- Publication type
- Congress MeSH
- Collected Work MeSH
- News MeSH
- Conspectus
- Veterinární lékařství
- NML Fields
- experimentální medicína
- veterinární lékařství
Theoretically, crystals with supercells exist at a unique crossroads where they can be considered as either a large unit cell with closely spaced reflections in reciprocal space or a higher dimensional superspace with a modulation that is commensurate with the supercell. In the latter case, the structure would be defined as an average structure with functions representing a modulation to determine the atomic location in 3D space. Here, a model protein structure and simulated diffraction data were used to investigate the possibility of solving a real incommensurately modulated protein crystal using a supercell approximation. In this way, the answer was known and the refinement method could be tested. Firstly, an average structure was solved by using the `main' reflections, which represent the subset of the reflections that belong to the subcell and in general are more intense than the `satellite' reflections. The average structure was then expanded to create a supercell and refined using all of the reflections. Surprisingly, the refined solution did not match the expected solution, even though the statistics were excellent. Interestingly, the corresponding superspace group had multiple 3D daughter supercell space groups as possibilities, and it was one of the alternate daughter space groups that the refinement locked in on. The lessons learned here will be applied to a real incommensurately modulated profilin-actin crystal that has the same superspace group.
- MeSH
- Actins chemistry MeSH
- Protein Conformation MeSH
- Crystallography, X-Ray methods MeSH
- Models, Molecular MeSH
- Profilins chemistry MeSH
- Publication type
- Journal Article MeSH
Three-dimensional structure models refined using low-resolution data from crystallographic or electron cryo-microscopy experiments can benefit from high-quality restraints derived from quantum-chemical methods. However, nonperiodic atom-centered quantum-chemistry codes do not inherently account for nearest-neighbor interactions of crystallographic symmetry-related copies in a satisfactory way. Here, these nearest-neighbor effects have been included in the model by expanding to a super-cell and then truncating the super-cell to only include residues from neighboring cells that are interacting with the asymmetric unit. In this way, the fragmentation approach can adequately and efficiently include nearest-neighbor effects. It has previously been shown that a moderately sized X-ray structure can be treated using quantum methods if a fragmentation approach is applied. In this study, a target protein (PDB entry 4gif) was partitioned into a number of large fragments. The use of large fragments (typically hundreds of atoms) is tractable when a GPU-based package such as TeraChem is employed or cheaper (semi-empirical) methods are used. The QM calculations were run at the HF-D3/6-31G level. The models refined using a recently developed semi-empirical method (GFN2-xTB) were compared and contrasted. To validate the refinement procedure for a non-P1 structure, a standard set of crystallographic metrics were used. The robustness of the implementation is shown by refining 13 additional protein models across multiple space groups and a summary of the refinement metrics is presented.
349 s.
- Conspectus
- Veřejné zdraví a hygiena
- NML Fields
- veterinární lékařství
- management, organizace a řízení zdravotnictví
Achieving a reliable and accurate biomedical image segmentation is a long-standing problem. In order to train or adapt the segmentation methods or measure their performance, reference segmentation masks are required. Usually gold-standard annotations, i.e. human-origin reference annotations, are used as reference although they are very hard to obtain. The increasing size of the acquired image data, large dimensionality such as 3D or 3D + time, limited human expert time, and annotator variability, typically result in sparsely annotated gold-standard datasets. Reliable silver-standard annotations, i.e. computer-origin reference annotations, are needed to provide dense segmentation annotations by fusing multiple computer-origin segmentation results. The produced dense silver-standard annotations can then be either used as reference annotations directly, or converted into gold-standard ones with much lighter manual curation, which saves experts' time significantly. We propose a novel full-resolution multi-rater fusion convolutional neural network (CNN) architecture for biomedical image segmentation masks, called DeepFuse, which lacks any down-sampling layers. Staying everywhere at the full resolution enables DeepFuse to fully benefit from the enormous feature extraction capabilities of CNNs. DeepFuse outperforms the popular and commonly used fusion methods, STAPLE, SIMPLE and other majority-voting-based approaches with statistical significance on a wide range of benchmark datasets as demonstrated on examples of a challenging task of 2D and 3D cell and cell nuclei instance segmentation for a wide range of microscopy modalities, magnifications, cell shapes and densities. A remarkable feature of the proposed method is that it can apply specialized post-processing to the segmentation masks of each rater separately and recover under-segmented object parts during the refinement phase even if the majority of inputs vote otherwise. Thus, DeepFuse takes a big step towards obtaining fast and reliable computer-origin segmentation annotations for biomedical images.
- MeSH
- Humans MeSH
- Neural Networks, Computer * MeSH
- Image Processing, Computer-Assisted * methods MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
Treacher Collins syndrome (TCOF1) is an autosomal dominant disorder of craniofacial development, the locus for which has been chromosomally localized to 5q31-34. We have isolated four hypervariable microsatellite markers (heterozygosity values range from 0.70 to 0.89) which have been mapped to distal 5q. Fifteen unrelated TCOF1 families have been analyzed for linkage to these markers. There is strong evidence demonstrating linkage to all of these markers; the strongest support for positive linkage being provided by the marker IG52, with a maximum pairwise lod score of 9.77 at a recombination fraction of 0.055. Analysis of recombinant individuals, physical mapping by fluorescence in situ hybridization and genetic linkage analysis demonstrated that the TCOF1 locus was flanked proximally by the loci 2C7 and 2D10, and distally by the loci IG26 and IG52 with a maximum lod score of 14.4, as assessed by multipoint linkage analysis. The refinement of the localization of the TCOF1 locus to 5q32-33.2, with flanking markers, represents an important step towards the identification of the mutated gene itself.
