Quantitative predictions of peptide binding to any HLA-DR molecule of known sequence: NetMHCIIpan

CD4 positive T helper cells control many aspects of specific immunity. These cells are specific for peptides derived from protein antigens and presented by molecules of the extremely polymorphic major histocompatibility complex (MHC) class II system. The identification of peptides that bind to MHC class II molecules is therefore of pivotal importance for rational discovery of immune epitopes. HLA-DR is a prominent example of a human MHC class II. Here, we present a method, NetMHCIIpan, that allows for pan-specific predictions of peptide binding to any HLA-DR molecule of known sequence. The method is derived from a large compilation of quantitative HLA-DR binding events covering 14 of the more than 500 known HLA-DR alleles. Taking both peptide and HLA sequence information into account, the method can generalize and predict peptide binding also for HLA-DR molecules where experimental data is absent. Validation of the method includes identification of endogenously derived HLA class II ligands, cross-validation, leave-one-molecule-out, and binding motif identification for hitherto uncharacterized HLA-DR molecules. The validation shows that the method can successfully predict binding for HLA-DR molecules-even in the absence of specific data for the particular molecule in question. Moreover, when compared to TEPITOPE, currently the only other publicly available prediction method aiming at providing broad HLA-DR allelic coverage, NetMHCIIpan performs equivalently for alleles included in the training of TEPITOPE while outperforming TEPITOPE on novel alleles. We propose that the method can be used to identify those hitherto uncharacterized alleles, which should be addressed experimentally in future updates of the method to cover the polymorphism of HLA-DR most efficiently. We thus conclude that the presented method meets the challenge of keeping up with the MHC polymorphism discovery rate and that it can be used to sample the MHC "space," enabling a highly efficient iterative process for improving MHC class II binding predictions

Métodos multivariados aplicados ao melhoramento genético do feijoeiro visando ao aumento da tolerância ao estresse osmótico e biofortificação de grãos

O feijoeiro (Phaseolus vulgaris L.) é uma cultura agrícola muito importante economicamente e nutricionalmente para a população brasileira e necessita de metodologias simples e eficazes que auxiliem o processo de melhoramento genético. As técnicas empregadas devem minimizar os efeitos indesejáveis da multicolinearidade entre as características estudadas durante o processo de seleção. A produção de sementes de feijão, normalmente, é limitada pela escassez hídrica e solos salinos. No entanto, devido a grande variabilidade genética, característica da espécie, é possível encontrar materiais genéticos mais tolerantes a esses estresses osmóticos. A germinação e o desenvolvimento inicial da plântula são fases críticas e desta maneira é importante selecionar os matérias genéticos mais tolerantes nestas fases. Além de selecionar genótipos tolerantes é necessário selecionar materiais genéticos que sejam ricos nutricionalmente, principalmente, em relação à composição mineralógica. Os principais objetivos almejados com este trabalho foram reduzir a multicolinearidade e selecionar genótipos para a tolerância ao estresse osmótico e a biofortificação dos grãos do feijoeiro, com base nos valores genéticos. Desta maneira, foram utilizadas duas técnicas para reduzir a influência da multicolinearidade: o descarte de variáveis redundantes pelas variáveis canônicas, e o uso das análises de fatores para reduzir o número de variáveis. As variáveis analisadas foram: porcentagem de germinação e de plântulas normais, tempo médio de germinação, índice de velocidade de germinação, comprimentos de raiz e de hipocótilo, massas seca de raiz e da parte aérea, razão raiz/parte aérea e o produto da porcentagem de plântulas normais pelo comprimento das plântulas. Avaliou-se também a composição mineralógica dos grãos em relação à concentração de cálcio, ferro, zinco, potássio, magnésio, manganês e fósforo. Adicionalmente, para estimar os parâmetros e os valores genéticos realizou-se análise via modelos mistos, utilizando-se a técnica de REML/BLUP. Os genótipos foram selecionados com base da média genética, estabilidade e adaptabilidade, utilizando-se a técnica da média harmônica da performance relativa dos valores genéticos. Os genótipos que apresentaram as maiores tolerâncias, adaptabilidade e estabilidade quanto aos estresses osmóticos foram: CNFC 15466, CNFC 15462, CNFC 15630, BRS Valente, Capixaba Precoce, CNFP 15290, CNFP 15292 e CNFP 15302. Enquanto os genótipos mais ricos e divergentes geneticamente do grupo comercial carioca foram: CNFC 15475 e CNFC 15625, e do grupo comercial preto foram: CNFP 15310 e CNFP 15304. Conclui-se que a utilização de técnicas multivariadas facilita a seleção de genótipos promissores como parentais na formação de linhagens tolerantes ao estresse osmótico e biofortificados. Palavras-chave: feijoeiro comum; seleção de genótipos; estresse hídrico e salino; multicolinearidade; composição mineral

Molecular control of HIV-1 postintegration latency: implications for the development of new therapeutic strategies

The persistence of HIV-1 latent reservoirs represents a major barrier to virus eradication in infected patients under HAART since interruption of the treatment inevitably leads to a rebound of plasma viremia. Latency establishes early after infection notably (but not only) in resting memory CD4+ T cells and involves numerous host and viral trans-acting proteins, as well as processes such as transcriptional interference, RNA silencing, epigenetic modifications and chromatin organization. In order to eliminate latent reservoirs, new strategies are envisaged and consist of reactivating HIV-1 transcription in latently-infected cells, while maintaining HAART in order to prevent de novo infection. The difficulty lies in the fact that a single residual latently-infected cell can in theory rekindle the infection. Here, we review our current understanding of the molecular mechanisms involved in the establishment and maintenance of HIV-1 latency and in the transcriptional reactivation from latency. We highlight the potential of new therapeutic strategies based on this understanding of latency. Combinations of various compounds used simultaneously allow for the targeting of transcriptional repression at multiple levels and can facilitate the escape from latency and the clearance of viral reservoirs. We describe the current advantages and limitations of immune T-cell activators, inducers of the NF-κB signaling pathway, and inhibitors of deacetylases and histone- and DNA- methyltransferases, used alone or in combinations. While a solution will not be achieved by tomorrow, the battle against HIV-1 latent reservoirs is well- underway

Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension

High blood pressure is a major risk factor for cardiovascular disease and premature death. However, there is limited knowledge on specific causal genes and pathways. To better understand the genetics of blood pressure, we genotyped 242,296 rare, low-frequency and common genetic variants in up to ~192,000 individuals, and used ~155,063 samples for independent replication. We identified 31 novel blood pressure or hypertension associated genetic regions in the general population, including three rare missense variants in RBM47, COL21A1 and RRAS with larger effects (>1.5mmHg/allele) than common variants. Multiple rare, nonsense and missense variant associations were found in A2ML1 and a low-frequency nonsense variant in ENPEP was identified. Our data extend the spectrum of allelic variation underlying blood pressure traits and hypertension, provide new insights into the pathophysiology of hypertension and indicate new targets for clinical intervention

Rare and low-frequency coding variants alter human adult height

Height is a highly heritable, classic polygenic trait with ~700 common associated variants identified so far through genome - wide association studies . Here , we report 83 height - associated coding variants with lower minor allele frequenc ies ( range of 0.1 - 4.8% ) and effects of up to 2 16 cm /allele ( e.g. in IHH , STC2 , AR and CRISPLD2 ) , >10 times the average effect of common variants . In functional follow - up studies, rare height - increasing alleles of STC2 (+1 - 2 cm/allele) compromise d proteolytic inhibition of PAPP - A and increased cleavage of IGFBP - 4 in vitro , resulting in higher bioavailability of insulin - like growth factors . The se 83 height - associated variants overlap genes mutated in monogenic growth disorders and highlight new biological candidates ( e.g. ADAMTS3, IL11RA, NOX4 ) and pathways ( e.g . proteoglycan/ glycosaminoglycan synthesis ) involved in growth . Our results demonstrate that sufficiently large sample sizes can uncover rare and low - frequency variants of moderate to large effect associated with polygenic human phenotypes , and that these variants implicate relevant genes and pathways

Sensing-Applications of Surface-Based Single Vesicle Arrays

A single lipid vesicle can be regarded as an autonomous ultra-miniaturised 3D biomimetic “scaffold” (Ø ≥ 13 nm) ideally suited for reconstitution and interrogation of biochemical processes. The enclosing lipid bilayer membrane of a vesicle can be applied for studying binding (protein/lipid or receptor/ligand interactions) or transmembrane events (membrane permeability or ion channel activation) while the aqueous vesicle lumen can be used for confining few or single macromolecules and probe, e.g., protein folding, catalytic pathways of enzymes or more complex biochemical reactions, such as signal transduction cascades. Immobilisation (arraying) of single vesicles on a solid support is an extremely useful technique that allows detailed characterisation of vesicle preparations using surface sensitive techniques, in particular fluorescence microscopy. Surface-based single vesicle arrays allow a plethora of prototypic sensing applications in a high throughput format with high spatial and high temporal resolution. In this review we present a series of applications of single vesicle arrays for screening/sensing of: membrane curvature dependent protein-lipid interactions, bilayer tension, reactions triggered in the vesicle lumen, the activity of transmembrane protein channels and biological membrane fusion reactions