223 research outputs found
Single strand conformation polymorphism (SSCP) detection in six genes in the Portuguese indigenous sheep breed "Churra da Terra Quente"
Evaluation of the genetic diversity for six genes in forty animals of the Portuguese indigenous sheep breed (Ovis aries)
“Churra da Terra Quente” was done. A non-radioactive method to allow single-strand conformation polymorphism (SSCP)
detection was optimised, starting from genomic DNAand PCR amplification of seven fragments: exon 1 of the a-lactalbumin
gene; exons 10 and 11 of the as1-casein gene; exon 7 of the b-casein gene; exon 4 of the k-casein gene; exons 4 and 5 of the
growth hormone gene and exon 6 of the growth hormone receptor gene. Polymorphisms were detected in five of the PCR products. Only k-casein and growth hormone receptor were monomorphic. a-lactalbumin and as1-casein exons showed three conformational patterns, b-casein and growth hormone exon 4 showed two electrophoretic patterns and growth hormone exon 5 showed five conformational patterns. These data provide evidence that “Churra da Terra Quente” has a high genetic variability, which opens interesting prospects for future selection programs and also for preservation strategies. Also, our data show that PCR-SSCP is an appropriate tool for evaluating genetic variability
Genetic diversity of two Portuguese populations of the pullet carpet shell Venerupis senegalensis, based on RAPD markers: contribution to a sustainable restocking program
The pullet carpet shell Venerupis senegalensis
(=V. pullastra) is a commercially important species in
Portugal, Spain, France, and Italy. In Portugal, this species
was once abundant in the Ria Formosa (southern Portugal
Olive – Colletotrichum acutatum: An Example of Fruit-Fungal Interaction
Capitulo publicado en: Plant Breeding. Edited by Dr. Ibrokhim AbdurakhmonovFundação para a Ciência e Tecnologia, Portugal through
SFRH/DB/25384/2005 grant and ‘POCTI/AGR/57817/2004’ project, and ‘Acção Integrada
Luso-Espanhola N.º E-97/09’.Peer reviewe
TWIST1 Gene: First Insights in Felis catus
TWIST1 is thought to be a novel oncogene. Understanding the molecular mechanisms regulating the TWIST1 gene expression profiles in tumor cells may give new insights regarding prognostic factors and novel therapeutic targets in veterinary oncology. In the present study we partially isolated the TWIST1 gene in Felis catus and performed comparative studies. Several primer combinations were used based on the alignments of homologous DNA sequences. After PCR amplification, three bands were obtained, purified and sequenced. Several bioinformatic tools were utilized to carry out the comparative studies. Higher similarity was found between the isolated TWIST1 gene in Felis catus and Homo sapiens (86%) than between Homo sapiens and Rattus norvegicus or Mus musculus (75%). Partial amino acid sequence showed no change in the four species analyzed. This confirmed that coding sequences presented high similarity (~96%) between man and cat. These results give the first insights regarding the TWIST1 gene in cat but further studies are required in order to establish, or not, its role in tumor formation and progression in veterinary oncology
GC-MS-based endometabolome analysis differentiates prostate cancer from normal prostate cells
Prostate cancer (PCa) is an important health problem worldwide. Diagnosis and management of PCa is very complex because the detection of serum prostate specific antigen (PSA) has several drawbacks. Metabolomics brings promise for cancer biomarker discovery and for better understanding PCa biochemistry. In this study, a gas chromatography-mass spectrometry (GC-MS) based metabolomic profiling of PCa cell lines was performed. The cell lines include 22RV1 and LNCaP from PCa with androgen receptor (AR) expression, DU145 and PC3 (which lack AR expression), and one normal prostate cell line (PNT2). Regarding the metastatic potential, PC3 is from an adenocarcinoma grade IV with high metastatic potential, DU145 has a moderate metastatic potential, and LNCaP has a low metastatic potential. Using multivariate analysis, alterations in levels of several intracellular metabolites were detected, disclosing the capability of the endometabolome to discriminate all PCa cell lines from the normal prostate cell line. Discriminant metabolites included amino acids, fatty acids, steroids, and sugars. Six stood out for the separation of all the studied PCa cell lines from the normal prostate cell line: ethanolamine, lactic acid, β-Alanine, L-valine, L-leucine, and L-tyrosine.info:eu-repo/semantics/publishedVersio
Inteligência artificial aplicada ao processo de tomada de decisões
- Divulgação dos SUMÁRIOS das obras recentemente incorporadas ao acervo da Biblioteca Ministro Oscar Saraiva do STJ. Em respeito à Lei de Direitos Autorais, não disponibilizamos a obra na íntegra.- Localização na estante: 34:004.8 I61t- Coordenado por: Henrique Alves Pinto, Jefferson Carús Guedes e Joaquim Portes de Cerqueira Césa
The Institute for Biotechnology and Bioengineering (IBB)
The Laboratório Associado Institute for Biotechnology and Bioengineering (IBB) is a
research unit aiming to be a strategic infrastructure for the development of the Portuguese
R&D and innovation policies in the areas of Biotechnology, Bioengineering, Biomaterials and
Life, Biomedical and Agricultural Sciences. IBB combines its R&D activities with advanced
higher education, technology transfer, consulting and services, with the aim of fostering the
industrial, health, agriculture and environmental sectors
GC-MS metabolomics reveals distinct profiles of low- and high-grade bladder cancer cultured cells
Previous studies have shown that metabolomics can be a useful tool to better understand the mechanisms of carcinogenesis; however, alterations in biochemical pathways that lead to bladder cancer (BC) development have hitherto not been fully investigated. In this study, gas chromatography-mass spectrometry (GC-MS)-based metabolomics was applied to unveil the metabolic alterations between low-grade and high-grade BC cultured cell lines. Multivariable analysis revealed a panel of metabolites responsible for the separation between the two tumorigenic cell lines. Significantly lower levels of fatty acids, including myristic, palmitic, and palmitoleic acids, were found in high-grade versus low-grade BC cells. Furthermore, significantly altered levels of some amino acids were observed between low- and high-grade BC, namely glycine, leucine, methionine, valine, and aspartic acid. This study successfully demonstrated the potential of metabolomic analysis to discriminate BC cells according to tumor aggressiveness. Moreover, these findings suggest that bladder tumorigenic cell lines of different grades disclose distinct metabolic profiles, mainly affecting fatty acid biosynthesis and amino acid metabolism to compensate for higher energetic needs.info:eu-repo/semantics/publishedVersio
Discrimination between the human prostate normal and cancer cell exometabolome by GC-MS
Serum prostate-specific antigen (PSA) is currently the most used biomarker in clinical practice for prostate cancer (PCa) detection. However, this biomarker has several drawbacks. In this work, an untargeted gas chromatography-mass spectrometry (GC-MS)-based metabolomic profiling of PCa cells was performed to prove the concept that metabolic alterations might differentiate PCa cell lines from normal prostate cell line. For that, we assessed the differences in volatile organic compounds (VOCs) profile in the extracellular medium (exometabolome) of four PCa cell lines and one normal prostate cell line at two pH values (pH 2 and 7) by GC-MS. Multivariate analysis revealed a panel of volatile metabolites that discriminated cancerous from normal prostate cells. The most altered metabolites included ketones, aldehydes and organic acids. Among these, we highlight pentadecane-2-one and decanoic acid, which were significantly increased in PCa compared to normal cells, and cyclohexanone, 4-methylheptan-2-one, 2-methylpentane-1,3-diol, 4-methylbenzaldehyde, 1-(3,5-dimethylfuran-2-yl)ethanone, methyl benzoate and nonanoic acid, which were significantly decreased in PCa cells. The PCa volatilome was markedly influenced by the VOCs extraction pH, though the discriminant capability was similar. Overall, our data suggest that VOCs monitoring has the potential to be used as a PCa screening methodology.info:eu-repo/semantics/publishedVersio
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