Design of Bioelectrochemical Interfaces Assisted by Molecular Dynamics Simulations

The design of bioelectrochemical interfaces (BEI) is an interesting topic that recently demands attention. The synergy between biomolecules and chemical components is necessary to achieve high molecular selectivity and sensitivity for the development of biosensors, synthesis of different compounds, or catalytic processes. For most BEI, the charge transfer process occurs in environments with particular chemical conditions; modeling these environments is a challenging task and requires multidisciplinary efforts. These interfaces can be composed of biomolecules, such as proteins, DNA, or more complex systems like microorganisms. Oxidoreductases enzymes are good candidates, among others, due to their catalytic activities and structural characteristics. In BEI, enzymes are immobilized on conductive surfaces to improve charge transfer processes. Covalent immobilization is the most common method to prolong lifetime or modulate the detection process. However, it is necessary to implement new methodologies that allow the selection of the best candidates for a more efficient design. Homology modeling of oxidoreductases combined with Molecular Dynamics (MD) simulation methods are alternative and already routinely used tools to investigate the structure, dynamics, and thermodynamics of biological molecules. Our motivation is to show different techniques of molecular modeling (Homology Modeling, Gaussian accelerated molecular dynamics, directed adaptive molecular dynamics and electrostatic surface calculations), and using horseradish peroxidase as a model to understand the interactions between biomolecules and gold nanoclusters (as current collector). Additionally, we present our previous studies considering molecular simulations and we discuss recent advances in biomolecular simulations aimed at biosensor design

Towards a new Catalan dialectal map? Considerations from dialectometrically obtanined prosodic data

En els darrers anys, l’estudi de la prosòdia s’ha vist afavorit per una gran quantitat de treballs realitzats des d’òptiques diferents. En el cas del català, però, gairebé sempre s’han centrat en l’estudi de la varietat barcelonina i s’han obviat les variants dialectals i subdialectals. El projecte AMPER i la seva concreció dedicadaa l’estudi del català (a més d’altres variants romàniques), AMPER-CAT, ha procurat omplir aquest buit a partir de la consideració de frases enunciatives i interrogatives pragmàticament neutres. Amb la tasca descriptiva acabada, els resultats són susceptibles de ser sotmesos a tractament dialectomètric per obtenir una visió global del domini lingüístic a partir estrictament de les dades prosòdiques. Aquest és l’objectiu d’aquest article. L’eina emprada és el programa ProDis, que actualment es desenvolupa al Laboratori de Fonètica de la UB. Els resultats ofereixen un mapa que no coincideix ben bé amb els postulats de la dialectologia catalana tradicional, que no ha treballat amb dades prosòdiques, i permeten relacionar el català amb altres varietats romàniques.During the last years the study of prosody has developed thanks to a huge number of research that have been carried out from different perspectives. Thisnotwithstanding, in the case of Catalan prosodic studies have focused mostly onthe variety spoken in Barcelona and have neglected other dialects. The AMPERproject and its Catalan section (known as AMPER-CAT) have tried to fill this gapby gathering and analysing data of broad focus statements and information-seeking yes-no questions in several Catalan dialects. The descriptive objective of the project has already been achieved. For this reason, the aim of this article is analysing the data with dialectometrical techniques that can provide a global vision of the dialectal configuration of Catalan from a prosodic point of view. Such analysis is carried out by means of ProDis, a dialectometrical tool developed at the Phonetics Laboratory of the University of Barcelona. The results of the analysis do not coincide exactly with traditional dialectometric studies, which have not taken into account prosodic data. Finally, Catalan prosodic data are analysed in the framework of Romance languages. The results provide a map that does not match exactly with the tenets of traditional Catalan dialectology, who has worked with prosodic data and are related to other Romance varieties

Cap a un nou mapa dialectal del català? Consideracions a partir de dades prosòdiques tractades dialectomètricament

En els darrers anys, l'estudi de la prosòdia s'ha vist afavorit per una gran quantitat de treballs realitzats des d'òptiques diferents. En el cas del català, però, gairebé sempre s'han centrat en l'estudi de la varietat barcelonina i s'han obviat les variants dialectals i subdialectals. El projecte AMPER i la seva concreció dedicada a l'estudi del català (a més d'altres variants romàniques), AMPER-CAT, ha procurat omplir aquest buit a partir de la consideració de frases enunciatives i interrogatives pragmàticament neutres. Amb la tasca descriptiva acabada, els resultats són susceptibles de ser sotmesos a tractament dialectomètric per obtenir una visió global del domini lingüístic a partir estrictament de les dades prosòdiques. Aquest és l'objectiu d'aquest article. L'eina emprada és el programa ProDis, que actualment es desenvolupa al Laboratori de Fonètica de la UB. Els resultats ofereixen un mapa que no coincideix ben bé amb els postulats de la dialectologia catalana tradicional, que no ha treballat amb dades prosòdiques, i permeten relacionar el català amb altres varietats romàniques

VALOR AGREGADO DE LAS ESPECIES Brycon erythropterum (SÁBALO), Colossoma macropomum (GAMITANA), Arapaima gigas (PAICHE) y Agouti paca (MAJAS)

El presente trabajo tiene como objetivo la obtención de productos mínimamente procesados (PMP) de Brycon erythropterum (SÁBALO), Colossoma macropomum (GAMITANA), Arapaima gigas (PAICHE), y Agouti paca (MAJAS) congelado y empacado al vacio. Para las especies piscícolas, se ha aplicado un diseño factorial de 32 con dos factores de estudios: concentración de NaCl en la solución osmótica con tres niveles (15, 20 y 25 %) y temperatura de proceso con tres niveles de estudio (5, 10 y 15 °C). Para el Agouti paca (majas) se aplicó un diseño factorial completamente aleatorizado con tres factores de estudio: tiempo de proceso (30, 60 y 90 minutos), método de ahumado (ahumado líquido y ahumado en caliente) y tipo de corte del músculo (partes y filetes). Para trabajar se ha diseñado y montado un deshidratador Osmótico teniendo en cuenta, diámetro de tubería, deshidratador propiamente dicho con doble chaqueta, capacidad del deshidratador en función del volumen de la Salmuera.  Todos los productos se obtuvieron en procesos con 10 °C y tiempos entre 30 min y 90 min. El tiempo de vida en almacenamiento en las evaluaciones de aroma y color en majas tienen una vida útil de 4 meses de almacenados a -18 °C. Los análisis microbiológicos realizados a los PMP no pasan los límites de la NTS Nº 071 MINSA/DIGESA V01

Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche.

Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 × 10(-8)) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and γ-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition

Polymorphisms within autophagy-related genes as susceptibility biomarkers for multiple myeloma: a meta-analysis of three large cohorts and functional characterization

Functional data used in this project have been meticulously catalogued and archived in the BBMRI-NL data infrastructure (https://hfgp.bbmri.nl/, accessed on 12 February 2020) using the MOLGENIS open-source platform for scientific data.Multiple myeloma (MM) arises following malignant proliferation of plasma cells in the bone marrow, that secrete high amounts of specific monoclonal immunoglobulins or light chains, resulting in the massive production of unfolded or misfolded proteins. Autophagy can have a dual role in tumorigenesis, by eliminating these abnormal proteins to avoid cancer development, but also ensuring MM cell survival and promoting resistance to treatments. To date no studies have determined the impact of genetic variation in autophagy-related genes on MM risk. We performed meta-analysis of germline genetic data on 234 autophagy-related genes from three independent study populations including 13,387 subjects of European ancestry (6863 MM patients and 6524 controls) and examined correlations of statistically significant single nucleotide polymorphisms (SNPs; p < 1 × 10−9) with immune responses in whole blood, peripheral blood mononuclear cells (PBMCs), and monocyte-derived macrophages (MDM) from a large population of healthy donors from the Human Functional Genomic Project (HFGP). We identified SNPs in six loci, CD46, IKBKE, PARK2, ULK4, ATG5, and CDKN2A associated with MM risk (p = 4.47 × 10−4−5.79 × 10−14). Mechanistically, we found that the ULK4rs6599175 SNP correlated with circulating concentrations of vitamin D3 (p = 4.0 × 10−4), whereas the IKBKErs17433804 SNP correlated with the number of transitional CD24+CD38+ B cells (p = 4.8 × 10−4) and circulating serum concentrations of Monocyte hemoattractant Protein (MCP)-2 (p = 3.6 × 10−4). We also found that the CD46rs1142469 SNP corre lated with numbers of CD19+ B cells, CD19+CD3− B cells, CD5+ IgD− cells, IgM− cells, IgD−IgM− cells, and CD4−CD8− PBMCs (p = 4.9 × 10−4−8.6 × 10−4 ) and circulating concentrations of interleukin (IL)-20 (p = 0.00082). Finally, we observed that the CDKN2Ars2811710 SNP correlated with levels of CD4+EMCD45RO+CD27− cells (p = 9.3 × 10−4 ). These results suggest that genetic variants within these six loci influence MM risk through the modulation of specific subsets of immune cells, as well as vitamin D3−, MCP-2−, and IL20-dependent pathways.This work was supported by the European Union’s Horizon 2020 research and innovation program, N° 856620 and by grants from the Instituto de Salud Carlos III and FEDER (Madrid, Spain; PI17/02256 and PI20/01845), Consejería de Transformación Económica, Industria, Conocimiento y Universidades and FEDER (PY20/01282), from the CRIS foundation against cancer, from the Cancer Network of Excellence (RD12/10 Red de Cáncer), from the Dietmar Hopp Foundation and the German Ministry of Education and Science (BMBF: CLIOMMICS [01ZX1309]), and from National Cancer Institute of the National Institutes of Health under award numbers: R01CA186646, U01CA249955 (EEB).This work was also funded d by Portuguese National funds, through the Foundation for Science and Technology (FCT)—project UIDB/50026/2020 and UIDP/50026/2020 and by the project NORTE-01-0145-FEDER-000055, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF)

Complete sequence of the 22q11.2 allele in 1,053 subjects with 22q11.2 deletion syndrome reveals modifiers of conotruncal heart defects

The 22q11.2 deletion syndrome (22q11.2DS) results from non-allelic homologous recombination between low-copy repeats termed LCR22. About 60%-70% of individuals with the typical 3 megabase (Mb) deletion from LCR22A-D have congenital heart disease, mostly of the conotruncal type (CTD), whereas others have normal cardiac anatomy. In this study, we tested whether variants in the hemizygous LCR22A-D region are associated with risk for CTDs on the basis of the sequence of the 22q11.2 region from 1,053 22q11.2DS individuals. We found a significant association (FDR p &lt; 0.05) of the CTD subset with 62 common variants in a single linkage disequilibrium (LD) block in a 350 kb interval harboring CRKL. A total of 45 of the 62 variants were associated with increased risk for CTDs (odds ratio [OR) ranges: 1.64-4.75). Associations of four variants were replicated in a meta-analysis of three genome-wide association studies of CTDs in affected individuals without 22q11.2DS. One of the replicated variants, rs178252, is located in an open chromatin region and resides in the double-elite enhancer, GH22J020947, that is predicted to regulate CRKL (CRK-like proto-oncogene, cytoplasmic adaptor) expression. Approximately 23% of patients with nested LCR22C-D deletions have CTDs, and inactivation of Crkl in mice causes CTDs, thus implicating this gene as a modifier. Rs178252 and rs6004160 are expression quantitative trait loci (eQTLs) of CRKL. Furthermore, set-based tests identified an enhancer that is predicted to target CRKL and is significantly associated with CTD risk (GH22J020946, sequence kernal association test (SKAT) p = 7.21&nbsp;× 10-5) in the 22q11.2DS cohort. These findings suggest that variance in CTD penetrance in the 22q11.2DS population can be explained in part by variants affecting CRKL expression

Improved classification of leukemic B-cell lymphoproliferative disorders using a transcriptional and genetic classifier

B-cell chronic lymphoproliferative disorders (B-CLPD) encompass a group of hematologic tumors that often present with leukemic involvement.1 Their heterogeneity and the lack of relatively specific diagnostic markers for most of these diseases make their diagnosis challenging, especially in cases that only have blood involvement or when histology is not available. With the currently used immunophenotypic and molecular markers, around 10% of B-CLPD cases remain unclassifiable and are categorized as B-CLPD, not otherwise specified (B-CLPD, NOS)

Lupus-related single nucleotide polymorphisms and risk of diffuse large B-cell lymphoma

Objective: Determinants of the increased risk of diffuse large B-cell lymphoma (DLBCL) in SLE are unclear. Using data from a recent lymphoma genome-wide association study (GWAS), we assessed whether certain lupus-related single nucleotide polymorphisms (SNPs) were also associated with DLBCL. Methods: GWAS data on European Caucasians from the International Lymphoma Epidemiology Consortium (InterLymph) provided a total of 3857 DLBCL cases and 7666 general-population controls. Data were pooled in a random-effects meta-analysis. Results: Among the 28 SLE-related SNPs investigated, the two most convincingly associated with risk of DLBCL included the CD40 SLE risk allele rs4810485 on chromosome 20q13 (OR per risk allele=1.09, 95% CI 1.02 to 1.16, p=0.0134), and the HLA SLE risk allele rs1270942 on chromosome 6p21.33 (OR per risk allele=1.17, 95% CI 1.01 to 1.36, p=0.0362). Of additional possible interest were rs2205960 and rs12537284. The rs2205960 SNP, related to a cytokine of the tumour necrosis factor superfamily TNFSF4, was associated with an OR per risk allele of 1.07, 95% CI 1.00 to 1.16, p=0.0549. The OR for the rs12537284 (chromosome 7q32, IRF5 gene) risk allele was 1.08, 95% CI 0.99 to 1.18, p=0.0765. Conclusions: These data suggest several plausible genetic links between DLBCL and SLE

Determinants of penetrance and variable expressivity in monogenic metabolic conditions across 77,184 exomes

Penetrance of variants in monogenic disease and clinical utility of common polygenic variation has not been well explored on a large-scale. Here, the authors use exome sequencing data from 77,184 individuals to generate penetrance estimates and assess the utility of polygenic variation in risk prediction of monogenic variants