Use of real-time PCR to evaluate two DNA extraction methods from food

The DNA extraction is a critical step in Genetically Modified Organisms analysis based on real-time PCR. In this study, the CTAB and DNeasy methods provided good quality and quantity of DNA from the texturized soy protein, infant formula, and soy milk samples. Concerning the Certified Reference Material consisting of 5% Roundup Ready® soybean, neither method yielded DNA of good quality. However, the dilution test applied in the CTAB extracts showed no interference of inhibitory substances. The PCR efficiencies of lectin target amplification were not statistically different, and the coefficients of correlation (R²) demonstrated high degree of correlation between the copy numbers and the threshold cycle (Ct) values. ANOVA showed suitable adjustment of the regression and absence of significant linear deviations. The efficiencies of the p35S amplification were not statistically different, and all R² values using DNeasy extracts were above 0.98 with no significant linear deviations. Two out of three R² values using CTAB extracts were lower than 0.98, corresponding to lower degree of correlation, and the lack-of-fit test showed significant linear deviation in one run. The comparative analysis of the Ct values for the p35S and lectin targets demonstrated no statistical significant differences between the analytical curves of each target.

Extraction of DNA from honey and its amplification by PCR for botanical identification

The physiochemical and biological properties of honey are directly associated to its floral origin. Some current commonly used methods for identification of botanical origin of honey involve palynological analysis, chromatographic methods, or direct observation of the bee behavior. However, these methods can be less sensitive and time consuming. DNA-based methods have become popular due to their simplicity, quickness, and reliability. The main objective of this research is to introduce a protocol for the extraction of DNA from honey and demonstrate that the molecular analysis of the extracted DNA can be used for its botanical identification. The original CTAB-based protocol for the extraction of DNA from plants was modified and used in the DNA extraction from honey. DNA extraction was carried out from different honey samples with similar results in each replication. The extracted DNA was amplified by PCR using plant specific primers, confirming that the DNA extracted using the modified protocol is of plant origin and has good quality for analysis of PCR products and that it can be used for botanical identification of honey.

Análise da pureza genética e discriminação de cultivares de vinca (Catharanthus roseus (L.) G.Don) usando "random amplified polymorphic DNA" em DNA extraído de sementes e folhas

A técnica "Random Amplified Polymorphic DNA" (RAPD) surgiu como uma ferramenta útil para testar a pureza genética e a discriminação de cultivares em muitas espécies. É uma técnica simples, rápida, relativamente de baixo custo e permite o uso de DNA extraído de sementes secas, o que é muito importante em um programa de análise de sementes. O uso desta tecnologia no teste da pureza genética pode ser muito interessante para algumas espécies, como a vinca (Catharanthus roseus (L.) G.Don), pois pouco se conhece a respeito da seqüência de seu DNA. É interessante, também, pelo fato de existir grande número de "primers" comercialmente disponíveis, que podem ser prontamente utilizados para gerar dados. Essa técnica pode ser mais facilmente utilizada para gerar padrões de bandas polimórficas suficientes para discriminar genótipos diferentes. Todavia, no presente estudo, os padrões RAPD de bandas obtidas de amostras de DNA extraído de sementes de vinca em "bulk" foram não-consistentes, o mesmo ocorrendo com o uso de DNA extraído de sementes individuais de um mesmo cultivar, o que evidencia que a técnica não é aplicável para testar a pureza genética e a discriminação de cultivares de vinca. Entretanto, os padrões de bandas RAPD gerados a partir de DNA extraído de tecido foliar de plântulas foram mais reproduzíveis e poderiam ser considerados na caracterização de cultivares.

Rekombinanttitekniikalla tuotettujen vasta-aineiden käyttö immunodiagnostiikassa ; rekombinantti-DNA-tekniikalla tuotetun Fab-fragmentin käyttö sydänperäisen troponiini I:n immunomäärityksessä

Rekombinanttivasta-aineet ovat synteettisesti valmistettuja vasta-aineita, jolloin niiden tuottamiseen ei tarvita eläintä. Rekombinantti-DNA-tekniikalla pystytään valmistamaan eri vasta-aineluokkia tai pelkästään niiden fragmentteja lähes mitä tahansa antigeeniä vastaan. Vasta-aineita voidaan etsiä eri antigeenejä vastaan ilmentämällä niitä esimerkiksi bakteriofagien tai solujen pinnalla, ja niiden sitomiskykyä kohteeseensa voidaan parantaa erilaisten mutaatioiden avulla. Rekombinanttivasta-aineita voidaan hyödyntää laajasti erilaisissa immunodiagnostisissa menetelmissä lääketieteessä, ympäristö- sekä elintarviketutkimuksissa. Tänä päivänä rekombinanttivasta-aineita käytetään myös terapiahoidossa. Immunomääritysten ongelmana voivat olla erilaiset häiriötekijät, jotka saattavat aiheuttaa väärän positiivisen tai negatiivisen tuloksen. Rekombinanttivasta-aineilla, erityisesti vasta-ainefragmenteilla voidaan vähentää määritysten häiriötä ja parantaa tulosten luotettavuutta. Rekombinanttivasta-aineiden hyötyjä ovat myös niiden nopea tuottaminen, helppo muokkaaminen sekä monipuolisuus erilaisia antigeenejä vastaan. Tutkimuksen kokeellisen työn tarkoitus oli kehittää uudelle rekombinantti-DNA-teknii-kalla tuotetulle osittain humanisoidulle Fab-fragmentille troponiini I -immunomääritys. Sydänperäinen troponiini I on sydäninfarktille spesifinen merkkiaine, jota voidaan mitata verestä. Työssä käytettävässä immunomäärityksessä sitojavasta-aineina käytettiin kahta biotinyloitua vasta-ainetta, joista toinen oli hiiren monoklonaalinen vasta-aine ja toinen oli kimeerinen Fab-fragmentti. Määrityksen leimana käytettiin uutta Fab-fragmenttia, joka kiinnitettiin kovalenttisesti europiumkelaatteja sisältävään nanopartikkeliin. Työssä pystyttiin kehittämään uudelle Fab-fragmentille partikkelipäällystysmenetelmä ja sitä hyödyntävä cTnI-immunomääritys. Määrityksen korkeaa taustaa saatiin merkittävästi vähennettyä käyttämällä määrityksessä polyetyleeniglykolilinkkeriä, joka esti leimavasta-aineen epäspesifistä sitoutumista. Immunomäärityksen herkkyyden parantamiseksi optimointeja tarvitaan lisää, mutta määritykselle on mahdollista kuitenkin saavuttaa tulevaisuudessa herkkä immunomääritys, jonka alttius häiriötekijöille on pieni.

Data analysis tools and methods for DNA microarray and high-throughput sequencing data

The recent rapid development of biotechnological approaches has enabled the production of large whole genome level biological data sets. In order to handle thesedata sets, reliable and efficient automated tools and methods for data processingand result interpretation are required. Bioinformatics, as the field of studying andprocessing biological data, tries to answer this need by combining methods and approaches across computer science, statistics, mathematics and engineering to studyand process biological data. The need is also increasing for tools that can be used by the biological researchers themselves who may not have a strong statistical or computational background, which requires creating tools and pipelines with intuitive user interfaces, robust analysis workflows and strong emphasis on result reportingand visualization. Within this thesis, several data analysis tools and methods have been developed for analyzing high-throughput biological data sets. These approaches, coveringseveral aspects of high-throughput data analysis, are specifically aimed for gene expression and genotyping data although in principle they are suitable for analyzing other data types as well. Coherent handling of the data across the various data analysis steps is highly important in order to ensure robust and reliable results. Thus,robust data analysis workflows are also described, putting the developed tools andmethods into a wider context. The choice of the correct analysis method may also depend on the properties of the specific data setandthereforeguidelinesforchoosing an optimal method are given. The data analysis tools, methods and workflows developed within this thesis have been applied to several research studies, of which two representative examplesare included in the thesis. The first study focuses on spermatogenesis in murinetestis and the second one examines cell lineage specification in mouse embryonicstem cells.