MétaCan
Menu
Retour à la cohorte
Enregistrement W2527923295

In vitro selection and biochemical characterization of trivalent metal ion dependent RNA-cleaving DNAzymes

2016· dissertation· en· W2527923295 sur OpenAlexfundno aff
Mahsa Vazin

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2016
Typedissertation
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueAdvanced biosensing and bioanalysis techniques
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchUniversity of Waterloo
Mots-clésDeoxyribozymeIn vitroCharacterization (materials science)Selection (genetic algorithm)ChemistryRNAMetalBiochemistryComputational biologyBiologyCell biologyNanotechnologyMaterials scienceComputer scienceDNAGeneOrganic chemistryArtificial intelligence
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

DNAzymes are DNA sequences with catalytic activity. So far, all known DNAzymes have been isolated using the high-throughput in vitro selection method. DNAzymes have been used for analytical, biomedical, and nanotechnology applications. All known DNAzymes require metal ions for activity. Therefore, a particularly interesting direction is the isolation of DNAzymes that function only in the presence of specific metal ion cofactors. Metal-specific DNAzymes can be used for developing metal ion biosensors and also provide insights into the interaction between metal ions and DNA. \nSince the first DNAzyme was reported in 1994, most metal dependent-DNAzymes have been isolated using divalent metal ions, such as Pb2+, Zn2+, Hg2+, UO22+, Cu2+ and Cd2+. Recently, a few monovalent metal dependent DNAzymes were also reported. However, relatively little is known about trivalent metal ions. Compared to DNAzymes using monovalent metal ions, those using divalent metal ions are usually more efficient. Therefore, we suspect that trivalent metal ions may result in even more efficient DNAzymes. At the same time, trivalent metal ions are also very important for technological applications. Hence, the main goal of this thesis is to select and characterize DNAzymes using trivalent metal ions as cofactors, in the hope of developing biosensors for this category of metal ions. There are three types of trivalent metal ions used in this work, including trivalent lanthanide ions (Ce3+, Yb3+ and Lu3+), Group 3A metal ions (Al3+, Ga3+, In3+ and Tl3+), and Cr3+. Different selection strategies were employed to fulfill each metal ion criteria. Among the various types of DNAzymes, this thesis is focused on those cleaving RNA. In each chapter, the conditions and processes of the in vitro selection with the target metal ion are described and the results are discussed. Biochemical studies of the selected DNAzymes are also presented. \nThe first chapter of this thesis gives a general introduction to DNA and DNAzymes, as well as some of their applications. In chapter two, the in vitro selection with Ce3+ was described, which resulted in the reselection of the Ce13d DNAzyme. Ce13d was previously reported in a Ce4+-dependent selection carried out by another member of the Liu lab. This DNAzyme appears to be an optimal sequence for Ce3+, but it is also highly active with all the trivalent lanthanides, Y3+, and to a lesser extent with Pb2+. Interestingly, by changing the cleavage junction from the normal phosphodiester to phosphorothioate (PS), the enzyme has a decreased activity with lanthanide but shows a high activity with all thiophilic metals. Since Ce13d is an interesting DNAzyme, a carful biochemical study of the enzyme was performed. \nIn chapter three, in order to find more specific DNAzymes that distinguish each lanthanide, two new in vitro selections were conducted with Yb3+ and Lu3+, respectively. The new Lu12 DNAzyme was selected. Lu12 is more active with smaller lanthanides and has the lowest activity with the largest lanthanide, Lu3+. Lu12 was extensively studied and some interesting characters of the enzymes were found, such as a pH-rate slope of 2, using pro-Sp for metal binding at the cleavage site, and acceptance of a diverse range of cleavage junctions. Such properties were never previously reported for any known RNA-cleaving DNAzymes. \nIn chapter four, efforts toward the isolation of DNAzymes specific for the group 3A metal ions using in vitro selection were described. Four independent selections were carried out with Ga3+, In3+, Al3+ and Tl3+; however, no specific DNAzymes were identified. The failure in the selection with this group of metal ions was probably due to the very low pKa of these metal ions in aqueous solution, and also their inability to tightly bind to phosphate group of the DNA molecule. The Tl3+-dependent selection was also repeated with PS-modified library, but the selection still did not work, because Tl3+ can desulfurize the substrate back to the normal PO substrate. While no new DNAzymes were isolated in this work, this study has enhanced our understanding of the interaction between Group 3A metals with DNA, and this information is useful for future in vitro selection works using these metals. \nIn chapter five, the cleavage of the previously selected DNAzyme, Ce13d, by Cr3+ was studied, initially. This preliminary study gives us information about the condition for the efficient activity of Cr3+. Then, two new Cr3+-dependent selections were conducted to isolate a specific DNAzyme. To discourage a Ce13d type of sequence, a blocking DNA and a smaller N35 library were tested separately. However, the Cr3+ selections resulted in obtaining a non-specific cleaving DNAzyme as the major product, and accompanied with a small fraction of 17E, suggesting the Ce13d as an optimal sequence for Cr3+. Cr3+ is a highly important metal and is also an environmental contaminant. This study suggests the possibility of using DNAzyme for Cr3+ detection.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,003

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,005
Tête enseignante GPT0,210
Écart entre enseignants0,205 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUWSpace (University of Waterloo)Même sujetAdvanced biosensing and bioanalysis techniquesTravaux en français237 207