Helices are one of the most common secondary structures found in peptides and proteins. The wheel and net projections have been proposed to represent in two dimensions the tridimensional helical structures and facilitate the observation of their properties, especially in terms of residues polarity and intramolecular bonding. Nevertheless, there are few software options to create these projections. We have developed a web-based application that has several futures to create, customize and export these projections and is freely available at http://lbqp.unb.br/NetWheels .

O presente trabalho teve por objetivo avaliar os efeitos da aplicação de extrato húmico solúvel em água (EHSA), biofertilizante Hortbio® (HORT) e a combinação dos dois produtos sobre o crescimento vegetativo, indicador fisiológico (medida do teor de clorofila) e a capacidade de absorção de nutrientes em mudas de guanandi (Callophyllum brasiliense). A adição isolada ou em conjunto de EHSA e HORT não alterou a altura das mudas, o número de folhas, a matéria seca foliar e radicular e a área radicular e foliar durante a fase inicial de crescimento em viveiro. Entretanto, os teores de clorofila e N total aumentaram significativamente nas mudas que receberam os tratamentos HORT e EHSA+HORT. Além disso, a adição de HORT resultou em maiores teores de S, Zn, B, Mg, Mn e Cu nas plantas, enquanto a aplicação do ESHA aumentou os teores de K, Mg, S e B. Os teores de P e Ca não tiveram seus teores alterados pela aplicação dos tratamentos, mas a adição do EHSA e ESHA+HORT reduziram significativamente a absorção de Cu, Fe, Mn e Zn.Effects of water-soluble humic extract and biofertilizer on development of Callophyllum brasiliense seedlingsThe objective of this work was to evaluate the effects of water-soluble humic extract (EHSA), Hortbio® biofertilizer (HORT) and both compounds combination (EHSA+HORT) on vegetative growth, nutrient absorption and chlorophyll levels in guanandi (Callophyllum brasiliense) seedlings. Isolated and combined additions of EHSA and HORT did not affect seedlings height, number of leaves, leaf and root dry matter and leaf area during early stages of seedling growth. However, HORT and EHSA+HORT treatments increased chlorophyll levels and total N content. Addition of HORT resulted in S, Zn, Mg, Mn and Cu increases in the seedlings leaves, while ESHA application increased K, Mg, S and B. P and Ca levels were not altered by the treatments, however, addition of EHSA and EHSA+HORT reduced significantly the absorption of Cu, Fe, Mn and Zn.Index terms: Forestry production; Guanandi; Vegetative growth

Congenital disorders of glycosylation (CDG) are a group of inherited metabolic diseases rapidly growing due to the discovery of new subtypes. As with many genetic conditions, their diagnosis can be challenging, impairing proper patient care and causing additional suffering to patients and their families. We have developed an N-glycomics strategy that can provide insightful information towards diagnosing CDG type II (CDG-II). N-glycans released from the plasma of healthy individuals were labeled with deuterated iodomethane, mixed with samples from known or suspected CDG-II individuals, which were derivatized with standard iodomethane, and analyzed by liquid chromatography–mass spectrometry. After identification, relative quantification of 65 glycans was performed, revealing considerable alterations in the N-glycome of several patients. Notably, reduced fucosylation was observed in patients with FUT8-CDG and SLC35C1-CDG. Additionally, individuals with mutations in the MAN1B1 gene exhibited increased amounts of hybrid and oligomannosidic structures, whereas patients with the Golgi homeostasis disorders COG1-CDG and ATP6V0A2-CDG presented marked increases in hypogalactosylated and hyposialylated structures. Multivariate statistical analysis indicated two undiagnosed patients with alterations similar to ATP6V0A2-CDG patients and another two with a profile similar to MAN1B1-CDG patients. Genetic sequencing (targeted gene panel or whole exome sequencing) of these undiagnosed patients revealed variants in the corresponding genes, confirming the diagnosis obtained from the N-glycomics analysis. Our results demonstrate how the analysis of total plasma N-glycans can be used to identify metabolic disorders and diagnose conditions based on their molecular effects on the glycoproteome.