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Este artigo tem por objetivo analisar a importância da Embrapa e do fundo setorial de agronegócio, CT-Agronegócio dentro Sistema Nacional de Pesquisa Agropecuária (SNPA) no período de 2003 a 2017. O marco teórico que sustenta esta análise encontra-se no enfoque do Sistema Nacional de Inovação, o qual atribui importância destacada à inovação como determinante da dinâmica das atividades produtivas, em especial, neste caso, da agropecuária brasileira. O procedimento metodológico adotado passa por uma pesquisa de natureza bibliográfica e descritiva. Os resultados evidenciam o papel relevante da Embrapa no SNPA, pois atua como órgão coordenador do mesmo. No que concerne ao fundo setorial CT-Agronegócio, verifica-se que este mecanismo de financiamento, embora possua participação pouco representativa na estrutura dos investimentos em pesquisa no setor agropecuário, contribui para seu desenvolvimento

Clinical decision-making in cancer and other diseases relies on timely and cost-effective genome-wide testing. Classical bioinformatic algorithms, such as Rawcopy, can support genomic analysis by calling genomic breakpoints and copy-number variations (CNVs), but often require manual data curation, which is error prone, time-consuming, and thus substantially increasing costs of genomic testing and hampering timely delivery of test results to the treating physician. We aimed to investigate whether deep learning algorithms can be used to learn from genome-wide single-nucleotide polymorphism array (SNPa) data and improve state-of-the-art algorithms. We developed, applied, and validated a novel deep neural network (DNN), DeepSNP. A manually curated data set of 50 SNPa analyses was used as truth-set. We show that DeepSNP can learn from SNPa data and classify the presence or absence of genomic breakpoints within large genomic windows with high precision and recall. DeepSNP was compared with well-known neural network models as well as with Rawcopy. Moreover, the use of a localization unit indicates the ability to pinpoint genomic breakpoints despite their exact location not being provided while training. DeepSNP results demonstrate the potential of DNN architectures to learn from genomic SNPa data and encourage further adaptation for CNV detection in SNPa and other genomic data types. [ABSTRACT FROM AUTHOR]

Development of primary mediastinal B-cell lymphoma (PMBL) is driven by cumulative genomic aberrations. We discovered a unique copy-neutral loss of heterozygosity (CN-LOH) landscape of PMBL which distinguishes this tumor from other B-cell malignancies, including the biologically related diffuse large B-cell lymphoma. Using single nucleotide polymorphism array analysis we identified large-scale CN-LOH lesions in 91% (30/33) of diagnostic PMBLs and both investigated PMBL-derived cell lines. Altogether, the cohort showed 157 extra-large (25.3-248.4 Mb) CN-LOH lesions affecting up to 14 chromosomes per case (mean of 4.4) and resulting in a reduction of heterozygosity an average of 9.9% (range 1.3-51%) of the genome. Predominant involvement of terminal chromosomal segments suggests the implication of B-cell specific crossover events in the pathogenesis of PMBL. Notably, CN-LOH stretches non-randomly clustered on 6p (60%), 15 (37.2%), and 17q (40%), and frequently co-occurred with homozygous mutations in the MHC I (6p21), B2M (15q15), and GNA13 (17q23) genes, respectively, as shown by preliminary whole-exome/genome sequencing data. Altogether, our findings implicate CN-LOH as a novel and distinct mutational process contributing to the molecular pathogenesis of PMBL. The aberration acting as "second hit" in the Knudson hypothesis, ranks as the major mechanism converting to homozygosity the PMBL-related driver genes. Screening of the cohort of 199 B cell leukemia/lymphoma whole-genomes revealed significant differences in the CN-LOH landscape of PMBL and other B-cell malignancies, including the biologically related diffuse large B-cell lymphoma., (© 2022 Wiley Periodicals LLC.)

Abstract: The npgA1 mutation causes defects in the outer layer of the cell wall resulting in a colorless colony. In this study, a temperature-sensitive suppressor of npgA1 named snpA was isolated by UV mutagenesis. The suppressing mutant showed pleiotropic phenotypes in cellular structure and developmental processes when incubated at a temperature of 37°C or above. At 37°C, multiple germ tubes emerged from germinating conidia. Moreover, at 42°C conidia germination was delayed more than 12h and hyphal growth was strongly inhibited. The suppressor allele, snpA6, is recessive and maps to the linkage group III. A gene complementing the mutation was identified employing the chromosome III-specific cosmid library. Sequencing analysis revealed that the snpA gene encodes the eukaryotic polypeptide release factor, eRF1. The snpA6 allele contains a G–A mutation resulting in SnpAE117K, which may allow read-through of the nonsense mutation in the npgA1 allele in a similar manner to the yeast omni-potent suppressor SUP45 and SUP35. [Copyright &y& Elsevier]

Simple Summary: Neuroblastoma (NB) is the most common extra-cranial solid paediatric cancer and is responsible for 15% of childhood cancer deaths. Patients with NB are characterized by presenting a very heterogeneous clinic (inter-tumoural heterogeneity) and also both spatial and temporal intra-tumour heterogeneity (ITH) reflected in their genetic aberrations, which may be the consequence of the coexistence of different microenvironments within the tumour. Applying pangenomic techniques to detect genomic aberrations in different biopsies (solid and liquid) of high risk NB (HR-NB) we have detected spatial ITH in a surprisingly high percentage (almost 40%) of the studied cohort. Moreover, a positive association between this heterogeneity and survival has been found. Confirming these results, combining tumour material analysis in a large cohort of HR-NB will have a major impact in the genetic diagnosis routine procedure, and would also entail a revision of the prognosis of patients with ITH. Spatial ITH is defined by genomic and biological variations within a tumour acquired by tumour cell evolution under diverse microenvironments, and its role in NB patient prognosis is understudied. In this work, we applied pangenomic techniques to detect chromosomal aberrations in at least two different areas of each tumour and/or in simultaneously obtained solid and liquid biopsies, detecting ITH in the genomic profile of almost 40% of HR-NB. ITH was better detected when comparing one or more tumour pieces and liquid biopsy (50%) than between different tumour pieces (21%). Interestingly, we found that patients with ITH analysed by pangenomic techniques had a significantly better survival rate that those with non-heterogeneous tumours, especially in cases without MYCN amplification. Moreover, all patients in the studied cohort with high ITH (defined as 50% or more genomic aberration differences between areas of a tumour or simultaneously obtained samples) survived after 48 months. These results clearly support analysing at least two solid tumour areas (separately or mixed) and liquid samples to provide more accurate genomic diagnosis, prognosis and therapy options in HR-NB. [ABSTRACT FROM AUTHOR]