Ovarian cancer is among the seven most common types of cancer in women, being the most fatal gynecological tumor, due to the difficulty of detection in early stages. Aptamers are important tools to ...improve tumor diagnosis through the recognition of specific molecules produced by tumors. Here, aptamers and their potential targets in ovarian cancer cells were analyzed by in silico approaches. Specific aptamers were selected by the Cell-SELEX method using Caov-3 and OvCar-3 cells. The five most frequent aptamers obtained from the last round of selection were computationally modeled. The potential targets for those aptamers in cells were proposed by analyzing proteomic data available for the Caov-3 and OvCar-3 cell lines. Overexpressed proteins for each cell were characterized as to their three-dimensional model, cell location, and electrostatic potential. As a result, four specific aptamers for ovarian tumors were selected: AptaC2, AptaC4, AptaO1, and AptaO2. Potential targets were identified for each aptamer through Molecular Docking, and the best complexes were AptaC2-FXYD3, AptaC4-ALPP, AptaO1-TSPAN15, and AptaO2-TSPAN15. In addition, AptaC2 and AptaO1 could detect different stages and subtypes of ovarian cancer tissue samples. The application of this technology makes it possible to propose new molecular biomarkers for the differential diagnosis of epithelial ovarian cancer.
Accurately mapping croplands is an important prerequisite for precision farming since it assists in field management, yield-prediction, and environmental management. Crops are sensitive to planting ...patterns and some have a limited capacity to compensate for gaps within a row. Optical imaging with sensors mounted on Unmanned Aerial Vehicles (UAV) is a cost-effective option for capturing images covering croplands nowadays. However, visual inspection of such images can be a challenging and biased task, specifically for detecting plants and rows on a one-step basis. Thus, developing an architecture capable of simultaneously extracting plant individually and plantation-rows from UAV-images is yet an important demand to support the management of agricultural systems. In this paper, we propose a novel deep learning method based on a Convolutional Neural Network (CNN) that simultaneously detects and geolocates plantation-rows while counting its plants considering highly-dense plantation configurations. The experimental setup was evaluated in (a) a cornfield (Zea mays L.) with different growth stages (i.e. recently planted and mature plants) and in a (b) Citrus orchard (Citrus Sinensis Pera). Both datasets characterize different plant density scenarios, in different locations, with different types of crops, and from different sensors and dates. This scheme was used to prove the robustness of the proposed approach, allowing a broader discussion of the method. A two-branch architecture was implemented in our CNN method, where the information obtained within the plantation-row is updated into the plant detection branch and retro-feed to the row branch; which are then refined by a Multi-Stage Refinement method. In the corn plantation datasets (with both growth phases – young and mature), our approach returned a mean absolute error (MAE) of 6.224 plants per image patch, a mean relative error (MRE) of 0.1038, precision and recall values of 0.856, and 0.905, respectively, and an F-measure equal to 0.876. These results were superior to the results from other deep networks (HRNet, Faster R-CNN, and RetinaNet) evaluated with the same task and dataset. For the plantation-row detection, our approach returned precision, recall, and F-measure scores of 0.913, 0.941, and 0.925, respectively. To test the robustness of our model with a different type of agriculture, we performed the same task in the citrus orchard dataset. It returned an MAE equal to 1.409 citrus-trees per patch, MRE of 0.0615, precision of 0.922, recall of 0.911, and F-measure of 0.965. For the citrus plantation-row detection, our approach resulted in precision, recall, and F-measure scores equal to 0.965, 0.970, and 0.964, respectively. The proposed method achieved state-of-the-art performance for counting and geolocating plants and plant-rows in UAV images from different types of crops. The method proposed here may be applied to future decision-making models and could contribute to the sustainable management of agricultural systems.
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•Langmuir monolayers aided to model the mineralization ability of the nucleation core in MVs.•Mineral formation was evidenced by in situ infrared spectroscopy and ex situ TEM.•The ...biomimetic model was validated using lipids extracted from native MVs.•Calcium phosphate nucleation was preferentialy induced on DPPS-enriched monolayers.•PS-mediated nucleation could be a predominant pathway during ossification.
Bone biomineralization is an exquisite process by which a hierarchically organized mineral matrix is formed. Growing evidence has uncovered the involvement of one class of extracellular vesicles, named matrix vesicles (MVs), in the formation and delivery of the first mineral nuclei to direct collagen mineralization. MVs are released by mineralization-competent cells equipped with a specific biochemical machinery to initiate mineral formation. However, little is known about the mechanisms by which MVs can trigger this process. Here, we present a combination of in situ investigations and ex vivo analysis of MVs extracted from growing-femurs of chicken embryos to investigate the role played by phosphatidylserine (PS) in the formation of mineral nuclei. By using self-assembled Langmuir monolayers, we reconstructed the nucleation core - a PS-enriched motif thought to trigger mineral formation in the lumen of MVs. In situ infrared spectroscopy of Langmuir monolayers and ex situ analysis by transmission electron microscopy evidenced that mineralization was achieved in supersaturated solutions only when PS was present. PS nucleated amorphous calcium phosphate that converted into biomimetic apatite. By using monolayers containing lipids extracted from native MVs, mineral formation was also evidenced in a manner that resembles the artificial PS-enriched monolayers. PS-enrichment in lipid monolayers creates nanodomains for local increase of supersaturation, leading to the nucleation of ACP at the interface through a multistep process. We posited that PS-mediated nucleation could be a predominant mechanism to produce the very first mineral nuclei during MV-driven bone/cartilage biomineralization.
Many substances of forensic interest are chiral and available either as racemates or pure enantiomers. Application of chiral analysis in biological samples can be useful for the determination of ...legal or illicit drugs consumption or interpretation of unexpected toxicological effects. Chiral substances can also be found in environmental samples and revealed to be useful for determination of community drug usage (sewage epidemiology), identification of illicit drug manufacturing locations, illegal discharge of sewage and in environmental risk assessment. Thus, the purpose of this paper is to provide an overview of the application of chiral analysis in biological and environmental samples and their relevance in the forensic field. Most frequently analytical methods used to quantify the enantiomers are liquid and gas chromatography using both indirect, with enantiomerically pure derivatizing reagents, and direct methods recurring to chiral stationary phases.
The development of complex neuronal tissues like the vertebrate retina requires the tight orchestration of cell proliferation and differentiation. Although the complexity of transcription factors and ...signaling pathways involved in retinogenesis has been studied extensively, the influence of tissue maturation itself has not yet been systematically explored. Here, we present a quantitative analysis of mitotic events during zebrafish retinogenesis that reveals three types of committed neuronal precursors in addition to the previously known apical progenitors. The identified precursor types present at distinct developmental stages and exhibit different mitotic location (apical versus nonapical), cleavage plane orientation, and morphology. Interestingly, the emergence of nonapically dividing committed bipolar cell precursors can be linked to an increase in apical crowding caused by the developing photoreceptor cell layer. Furthermore, genetic interference with neuronal subset specification induces ectopic divisions of committed precursors, underlining the finding that progressing morphogenesis can effect precursor division position.
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•Committed retinal precursors generate bipolar, horizontal, and photoreceptor cells•Committed precursors vary in morphology, developmental timing, and mitotic position•Retinal lamination effects emergence and mitotic position of committed precursors
Vertebrate retinogenesis is a complex phenomenon that requires the precise orchestration of cell proliferation and differentiation. Weber et al. extend what is known about retinogenesis by showing that, at late stages of retinal developmental, the majority of mitotic figures originate from diverse committed precursors featuring different morphology and dividing at various locations. Furthermore, tissue maturation and arising tissue obstacles, such as the emerging photoreceptor cell layer, are shown to play a role in repositioning mitotic cell precursors.
Abstract Type 1 diabetes mellitus (T1DM) and estrogen deficiency are associated with several alterations in bone turnover. Zinc (Zn) is required for growth, development, and overall health. Zinc has ...been used in complementary therapy against bone loss in several diseases. We hypothesized that Zn supplementation represents a potential therapy against severe bone loss induced by the combined effect of estrogen deficiency and T1DM. We evaluated the protective effect of Zn against bone alterations in a chronic model of these disorders. Female Wistar rats were ramdomized into three groups (five rats each): control, OVX/T1DM (ovariectomized rats with streptozotocin-induced T1DM), and OVX/T1DM + Zn (OVX/T1DM plus daily Zn supplementation). Serum biochemical, bone histomorphometric, and molecular analyses were performed. Histomorphometric parameters were similar between the control and OVX/T1DM + Zn groups, suggesting that Zn prevents bone architecture alterations. In contrast, the OVX/T1DM group showed significantly lower trabecular width and bone area as well as greater trabecular separation than the control. The OVX/T1DM and OVX/T1DM + Zn groups had significantly higher serum alkaline phosphatase activity than the control. The supplemented group had higher levels of serum-ionized calcium and phosphorus than the non-supplemented group. The RANKL/OPG ratio was similar between the control and OVX/T1DM + Zn groups, whereas it was higher in the OVX/T1DM group. In conclusion, Zn supplementation prevents bone alteration in chronic OVX/T1DM rats, as demonstrated by the reduced RANKL/OPG ratio and preservation of bone architecture. The findings may represent a novel therapeutic approach to preventing OVX/T1DM-induced bone alterations.
The disparity between men and women in science is a hot topic in gender studies and a relevant target of scientific policies. The leaky pipeline metaphor illustrates the decreasing number of women ...along senior positions in academia; however many questions remain unanswered. What factors progressively diminish the number of women in scientific careers and why do they appear to be less successful than their male colleagues? In order to discover new insight, this work compares men's and women's career paths by taking into account academic and family milestones achieved throughout the life course. An innovative and interdisciplinary methodology (from bibliometrics, statistics, and sociology) has been constructed to examine men's and women's trajectories. Findings display gender differences in scientists' trajectories. The evolution of scientists' careers reveals linear careers for males, whilst women develop non-linear careers. Motherhood emerges as a problem for developing linear careers. And collegiate decisions of gatekeepers seem to systematically disfavour women scientists' careers.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Development and maintenance of neural architecture supporting learning and memory, as well as active storage of learnt information, are predicted to carry significant energetic costs. Here we ...explored whether the demands of learning about fitness-relevant stimuli come at a cost to the reproductive success of an insect model. Bumble bee (Bombus spp.) queens found nests alone, and early in the colony cycle must invest simultaneously in learning about rewarding floral resources and colony founding. We exposed queens of Bombus terrestris audax emerging from diapause to a 6-day reversal learning task and compared colony founding success of these individuals to two control groups that did not learn but received equal food. Additionally, we limited carbohydrate intake in half of queens across all treatments. Nutritionally stressed queens had a lower probability of egg laying, delayed nest initiation and lower offspring production compared with nutritionally unrestricted queens, suggesting resource availability at this life cycle stage is crucial to founding successful colonies and population growth. Nevertheless, potential energetic demands of learning did not reduce colony founding success in a laboratory set-up, even in nutritionally stressed groups. Our findings provide a rare real-world test of the costs associated with learning and suggest they do not affect reproductive potential in bumble bee queens.
•Development and use of neural architecture carries potential energetic costs.•We test whether such costs compromise reproductive success in bumble bee queens.•The demands of learning did not affect colony founding success, even under stress.•Nutritional stress negatively affected egg laying and offspring production.•Resource-poor environments may affect bumble bee population dynamics.
Addison's disease (AD) entails a chronic insufficient production of gluco- and mineralocorticoids. Fatigue and decreased quality of life are frequently reported symptoms, but little is known about ...its effects on cognition. This study aims to explore the existence of cognitive impairment in patients with AD and the influence of treatment regimens. We conducted a systematic review. Inclusion criteria were met by 10 articles, most of them ranked as intermediate quality. Three studies analyzed the relationship between AD and cognitive impairment; one explored the effect of delaying treatment showing no effect on cognitive performance, and another one studied the effect of fludrocortisone treatment. Episodic memory was the most frequent cognitive domain impaired across studies, in comparison to healthy controls. Two papers investigated the relationship between impaired sleep quality and poor cognitive performance. Two studies related cognitive impairments with hypocortisolism-derived brain neuroglycopenia. Two studies investigated the effect of DHEA substitution. In conclusion, patients exhibit a moderately reduced performance in verbal learning. The pathophysiology of this impairment is likely multifactorial. Future studies should include larger sample sizes, the use of comprehensive and multi-domain neuropsychological and behavioral protocols, and neuroimaging.
Ice ages within Europe forced many species to retreat to refugia, of which three major biogeographic basic types can be distinguished: "Mediterranean", "Continental" and "Alpine / Arctic" species. ...However, this classification often fails to explain the complex phylogeography of European species with a wide range of latitudinal and altitudinal distribution. Hence, we tested for the possibility that all three mentioned faunal elements are represented within one species. Our data was obtained by scoring 1,307 Euphydryas aurinia individuals (46 European locations) for 17 allozyme loci, and sequencing a subset of 492 individuals (21 sites) for a 626 base pairs COI fragment. Genetic diversity indices, F statistics, hierarchical analyses of molecular variance, individual-based clustering, and networks were used to explore the phylogeographic patterns. The COI fragment represented 18 haplotypes showing a strong geographic structure. All but one allozyme loci analysed were polymorphic with a mean FST of 0.20, supporting a pronounced among population structure. Interpretation of both genetic marker systems, using several analytical tools, calls for the recognition of twelve genetic groups. These analyses consistently distinguished different groups in Iberia (2), Italy, Provence, Alps (3), Slovenia, Carpathian Basin, the lowlands of West and Central Europe as well as Estonia, often with considerable additional substructures. The genetic data strongly support the hypothesis that E. aurinia survived the last glaciation in Mediterranean, extra-Mediterranean and perialpine refugia. It is thus a rare example of a model organism that combines attributes of faunal elements from all three of these sources. The observed differences between allozymes and mtDNA most likely result from recent introgression of mtDNA into nuclear allozyme groups. Our results indicate discrepancies with the morphologically-based subspecies models, underlining the need to revise the current taxonomy.
Celotno besedilo
Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK