Unique Signature with Short Output from CDH Assumption

Solar radiation on hitting a target surface may be transmitted, absorbed or reflected. Different materials reflect and absorb differently at different wavelengths. The reflectance spectrum of a material is a plot of the fraction of radiation reflected as a function of the incident wavelength and serves as a unique signature for the material. In principle, a material can be identified from its spectral reflectance signature if the sensing system has sufficient spectral resolution to distinguish its spectrum from those of other materials. This premise provides the basis for multispectral remote sensing. Nguyen Dinh Duong (1997) proposed a method for decomposition of multi-spectral image into several sub-images based on modulation (spectral pattern) of the spectral reflectance curve. The hypothesis roots from the fact that different ground objects have different spectral reflectance and absorption characteristics which are stable for a given sensor. This spectral pattern can be considered as invariant and be used as one of classification rules.

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Xenogeneic Neu5Gc and self-glycan Neu5Ac epitopes are potential immune targets in MS

Neurology Neuroimmunology & Neuroinflammation ◽

10.1212/nxi.0000000000000676 ◽

2020 ◽

Vol 7 (2) ◽

pp. e676 ◽

Cited By ~ 1

Author(s):

Kayluz F. Boligan ◽

Johanna Oechtering ◽

Christian W. Keller ◽

Benjamin Peschke ◽

Robert Rieben ◽

...

Keyword(s):

Igg Antibodies ◽

Glycan Array ◽

Neurologic Diseases ◽

Acetylneuraminic Acid ◽

Neuraminic Acids ◽

Relapsing Remitting ◽

Specific Immunoglobulin ◽

Treatment Naïve ◽

Relapsing Remitting Multiple Sclerosis ◽

Unique Signature

ObjectiveTo explore the repertoire of glycan-specific immunoglobulin G (IgG) antibodies in treatment-naive patients with relapsing-remitting multiple sclerosis (RRMS).MethodsA systems-level approach combined with glycan array technologies was used to determine specificities and binding reactivities of glycan-specific IgGs in treatment-naive patients with RRMS compared with patients with noninflammatory and other inflammatory neurologic diseases.ResultsWe identified a unique signature of glycan-binding IgG in MS with high reactivities to the dietary xenoglycan N-glycolylneuraminic acid (Neu5Gc) and the self-glycan N-acetylneuraminic acid (Neu5Ac). Increased reactivities of serum IgG toward Neu5Gc and Neu5Ac were additionally observed in an independent, treatment-naive cohort of patients with RRMS.ConclusionPatients with MS show increased IgG reactivities to structurally related xenogeneic and human neuraminic acids. The discovery of these glycan-specific epitopes as immune targets and potential biomarkers in MS merits further investigation.

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Effects of the population pedigree on genetic signatures of historical demographic events

Proceedings of the National Academy of Sciences ◽

10.1073/pnas.1601080113 ◽

2016 ◽

Vol 113 (29) ◽

pp. 7994-8001 ◽

Cited By ~ 12

Author(s):

John Wakeley ◽

Léandra King ◽

Peter R. Wilton

Keyword(s):

Population Genetics ◽

Selective Sweep ◽

Large Family ◽

Recent Past ◽

Structure Population ◽

Genetic Transmission ◽

Large Samples ◽

Large Families ◽

Genetic Signatures ◽

Unique Signature

Genetic variation among loci in the genomes of diploid biparental organisms is the result of mutation and genetic transmission through the genealogy, or population pedigree, of the species. We explore the consequences of this for patterns of variation at unlinked loci for two kinds of demographic events: the occurrence of a very large family or a strong selective sweep that occurred in the recent past. The results indicate that only rather extreme versions of such events can be expected to structure population pedigrees in such a way that unlinked loci will show deviations from the standard predictions of population genetics, which average over population pedigrees. The results also suggest that large samples of individuals and loci increase the chance of picking up signatures of these events, and that very large families may have a unique signature in terms of sample distributions of mutant alleles.

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