4,971 research outputs found
Autoantibody profile differentiates BP phenotypes
Bullous pemphigoid (BP) is a major autoimmune blistering skin disorder, in which a majority of the autoantibodies (autoAbs) target the juxtamembranous extracellular noncollagenous 16A domain (NC16A) domain of hemidesmosomal collagen XVII. BP-autoAbs may target regions of collagen XVII other than the NC16A domain; however, correlations between epitopes of BP-autoAbs and clinical features have not been fully elucidated. To address correlations between the clinical features and specific epitopes of BP-autoAbs, we evaluated the epitope profiles of BP-autoAbs in 121 patients. A total of 87 patients showed a typical inflammatory phenotype with erythema and autoAbs targeting the anti-NC16A domain, whereas 14 patients showed a distinct noninflammatory phenotype, in which autoAbs specifically targeted the midportion of collagen XVII, but not NC16A. Interestingly, this group clinically showed significantly reduced erythema associated with scant lesional infiltration of eosinophils. Surprisingly, 7 of the 14 cases (50.0%) received dipeptidyl peptidase-IV inhibitors for the treatment of diabetes. Dipeptidyl peptidase-IV inhibitors were used in 3 of 76 (3.9%) typical cases of BP with autoAbs targeting NC16A; thus, dipeptidyl peptidase-IV inhibitors are thought to be involved in the development of atypical noninflammatory BP. This study shows that the autoAb profile differentiates between inflammatory and noninflammatory BP, and that noninflammatory BP may be associated with dipeptidyl peptidase-IV inhibitors
Link prediction in author collaboration network based on BP neural network
Recently, more and more authors have been encouraged for collaboration because it often produces good results. However, the author collaboration network contains experts in various research directions within various fields, and it is difficult for individual authors to decide which authors are best suited to their expertise. This paper uses the relationships among authors to predict new relationships that may arise, recommending each author with the collaborators they may be interested in. The data source comes from 4-year data in DBLP from 2001 to 2004. After data cleaning, the training set and test set are constructed and then used BP neural network to build model. At the same time, this article compares the performance with Logistic Regression, SVM and Random Forest. The experiment shows that the BP neural network can get better result, and it is feasible to predict links in the author collaboration network
Link prediction in author collaboration network based on BP neural network
Recently, more and more authors have been encouraged for collaboration because it often produces good results. However, the author collaboration network contains experts in various research directions within various fields, and it is difficult for individual authors to decide which authors are best suited to their expertise. This paper uses the relationships among authors to predict new relationships that may arise, recommending each author with the collaborators they may be interested in. The data source comes from 4-year data in DBLP from 2001 to 2004. After data cleaning, the training set and test set are constructed and then used BP neural network to build model. At the same time, this article compares the performance with Logistic Regression, SVM and Random Forest. The experiment shows that the BP neural network can get better result, and it is feasible to predict links in the author collaboration network
Uniqueness of BP⟨n⟩
Fix a prime number p and an integer n≥ 0. We prove that if a p-complete spectrum X satisfying a mild finiteness condition has the same mod p cohomology as BP⟨ n⟩ as a module over the Steenrod algebra, then X is weak homotopy equivalent to the p-completion of BP⟨ n⟩.The first author was supported by an ARC Discovery grant. The
second author was partially supported by the DFG through SFB-1085, and thanks the Australian National
University for hosting him while this research was conducted
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Late Würm and Early-Middle Holocene environmental change and human activities in the Northern Apennines, Italy
An enhanced radiocarbon-dated pollen-stratigraphical record from Rovegno (Liguria, 812m asl), northern Apennines (Italy), has provided a history of vegetation succession from before 17,056-16,621 cal yrs BP to the present day. The record indicates the transition from open Pinus woodland to Artemisia dominated grassland, and finally Juniperus shrubland during the late Würm. This is succeeded by Betula and Pinus woodland, and the expansion of thermophilous taxa, namely Abies, Corylus and Quercus during the Late Würm Lateglacial Interstadial. The ‘Younger Dryas’ is possibly represented by an increase
in Betula and Artemisia. During the early Holocene, mixed coniferous-deciduous woodland is dominant with Quercus, as well as Abies, Fagus and Corylus. Fagus woodland becomes established sometime before 6488-6318 cal yrs BP, but never becomes a major component of the woodland cover. Throughout the middle Holocene, Abies woodland fl uctuates, with marked declines between 6488-6318 cal yrs BP and 5287-4835 cal yrs BP, although the cause remains uncertain. Finally, the paper evaluates the application of non-pollen palynomorphs, especially coprophilous fungal spores, at Prato Spilla ‘A’ (Emilia Romagna) and concludes that greater caution must be used when interpreting middle Holocene human activity based
upon pollen data alon
IntCal09 and Marine09 radiocarbon age calibration curves, 0–50,000 years cal BP
Author Posting. © Arizona Board of Regents on behalf of the University of Arizona, 2009. This article is posted here by permission of Dept. of Geosciences, University of Arizona for personal use, not for redistribution. The definitive version was published in Radiocarbon 51 (2009): 1111-1150.The IntCal04 and Marine04 radiocarbon calibration curves have been updated from 12 cal kBP (cal kBP is
here defined as thousands of calibrated years before AD 1950), and extended to 50 cal kBP, utilizing newly available data sets
that meet the IntCal Working Group criteria for pristine corals and other carbonates and for quantification of uncertainty in
both the 14C and calendar timescales as established in 2002. No change was made to the curves from 0–12 cal kBP. The curves
were constructed using a Markov chain Monte Carlo (MCMC) implementation of the random walk model used for IntCal04
and Marine04. The new curves were ratified at the 20th International Radiocarbon Conference in June 2009 and are available
in the Supplemental Material at www.radiocarbon.org.We would like to acknowledge support for this project from the UK Natural Environment Research
Council NE/E018807/1 and IGBP PAGES (Past Global Changes)
Effects of exocyclic amino groups of guanines on the positioning of the 10 (+)--BP--dG adduct in () G6*G7, () G6G7* and () CG*C (,) sequence contexts in double-stranded DNA
<p><b>Copyright information:</b></p><p>Taken from "Exocyclic amino groups of flanking guanines govern sequence-dependent adduct conformations and local structural distortions for minor groove-aligned benzo[]pyrenyl-guanine lesions in a GG mutation hotspot context"</p><p></p><p>Nucleic Acids Research 2007;35(5):1555-1568.</p><p>Published online 7 Feb 2007</p><p>PMCID:PMC1865068.</p><p>© 2007 The Author(s).</p> Only the central 7-mers are shown. The BP moiety and relevant guanine amino groups are in CPK representation. The color scheme is the same as in . In addition, relevant amino group nitrogen atoms are shown in purple. Hydrogen atoms in the DNA duplexes, except in the relevant amino groups, are not displayed
Inhibitors of CRD-BP-KRAS RNA interaction
The KRAS mRNA is one of few oncogenic mRNAs that can be recognized and bound by the RNA-binding protein called Coding Region Determinant-Binding Protein (CRD-BP). Binding of CRD-BP to oncogenic mRNAs can ultimately increase the possibility of tumor occurrence. Given that CRD-BP is only expressed in adult cancers but not in normal tissues, targeting the CRD-BP-mRNA interaction is a good anti-cancer strategy. To study CRD-BP-KRAS mRNA interaction and to search for inhibitors of such interaction, a safe, sensitive and high throughput-based fluorescence polarization (FP) method was developed. By using a 44 nts fluorescein-labeled KRAS RNA, a library of 217 small molecules was screenedfor their ability to inhibit CRD-BP-KRAS RNA interaction. Finally, candidate small molecule inhibitors as well as effective antisense oligonucleotides (AONs) against KRAS RNA were assessed for their ability to suppress KRAS gene expression in cancer cells.KRASmRNACRD-BPtumorcance
Is BP.(+)P a probabilistic class?
The author shows a uniform circuit characterization of BP.⊕𝒫 without using probabilistic bits. The proof of the result is extremely simple, yet unknown. To the best of the author's knowledge, these observations have not been made before. The class BP.⊕𝒫 has received much attention, especially after Toda (1989) showed that it contains the whole of the polynomial hierarchy. Toda's result is an extension of a key result of Valiant and Vazirani [VV 86
Acute fasting regulates retrograde synaptic enhancement through a 4E-BP-dependent mechanism
While beneficial effects of fasting on organismal function and health are well appreciated, we know little about the molecular details of how fasting influences synaptic function and plasticity. Our genetic and electrophysiological experiments demonstrate that acute fasting blocks retrograde synaptic enhancement that is normally triggered as a result of reduction in postsynaptic receptor function at the Drosophila larval neuromuscular junction (NMJ). This negative regulation critically depends on transcriptional enhancement of eukaryotic initiation factor 4E binding protein (4E-BP) under the control of the transcription factor Forkhead box O (Foxo). Furthermore, our findings indicate that postsynaptic 4E-BP exerts a constitutive negative input, which is counteracted by a positive regulatory input from the Target of Rapamycin (TOR). This combinatorial retrograde signaling plays a key role in regulating synaptic strength. Our results provide a mechanistic insight into how cellular stress and nutritional scarcity could acutely influence synaptic homeostasis and functional stability in neural circuits
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