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Enregistrement W6981693607

Exploring Ligand Structure and Thermodynamics of the Malachite Green RNA Aptamer

2012· dissertation· en· W6981693607 sur OpenAlexfundno aff

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2012
Typedissertation
Langueen
DomaineArts and Humanities
ThématiqueAmerican and British Literature Analysis
Établissements canadiensnon disponible
Organismes subventionnairesUniversity of Waterloo
Mots-clésDivalent metalLigand (biochemistry)MyoglobinContext (archaeology)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

RNA aptamers are in vitro sequences of RNA that have a high affinity for their target ligand. They have applications in therapeutics, biosensors and molecular machines. While the practical applications of aptamers are increasing, it is important to study their structure and thermodynamics to improve the understanding of these molecular tools. The malachite green aptamer (MGA) provides a model system to study the interactions between aptamer and ligand that do not involve hydrogen bonding between ligand and receptor. While the original application of this aptamer was abandoned, study of the MGA binding pocket revealed an electronegative environment that was harnessed for catalysis. MGA binding also supported the notion that aptamers bind by adaptive binding. Adaptive binding is the ability of molecules to mold themselves around the structure of a ligand thereby incorporating it into their three-dimensional fold. \nTo further expand our understanding of MGA binding and to clarify conflicting reports of affinities, we conducted isothermal calorimetry binding studies. The results reveal that the entropy of complex formation plays a large role in determining binding affinity and ligand specificity. This data combined with previous structural studies show that metal ions are required to stabilize the complexes with non-native ligands, whereas, the complex with the original selection target is stable at low salt and in the absence of divalent metal ions. Next, competitive binding studies using isothermal titration calorimetry were conducted with the aim of understanding the adaptive nature of RNA. The results of these studies reveal that there are limits to the adaptability of the aptamer. Binding of one type of ligand reduces the affinity of the aptamer pocket to a differently shaped ligand, even if this second ligand has a significantly higher affinity. \nThe ability of MGA to change ligand preference based on buffer conditions, and the previously reported catalysis suggested that RNA may have a potential supporting multiple functions in the same molecule. To investigate this possibility we attempted to select an aptamer that supports both ligand binding and catalysis. By conducting both a DNA and RNA selection we hoped to add to the \niv \ncollection of DNA and RNA aptamers selected for the same target. There are currently too few of these to determine if any correlation can be made between DNA and RNA sequences that bind the same target. The target of the selection was fluorescein diacetate (FDA), which was chosen with the aim that it would allow the exploration of the inherent potential of the selected aptamer to cleave FDA to fluorescein. The RNA selection proved to be more successful and an attempt was made to characterize the binding of the aptamer to its target fluorescein diacetate. Unfortunately there were complications with the binding assays, but future work is proposed that should address the issues. \nIn order to expand the MGA catalytic repertoire attempts were made to synthesize new ligands that could exploit the catalytic potential of the MGA binding pocket. Unfortunately these attempts were unsuccessful, however further attempts are recommended. The MGA used in this study was transcribed in vitro using T7 RNA polymerase. This process is known to add extra nucleotides to the end of the transcription product. Attempts were made to eliminate the n+1 product by introducing a ribozyme or DNAzyme. These were met with difficulties resulting in low yield, however mass spectrometry revealed that n and n+1 MGA bind to ligand. This, along with secondary structure prediction suggests that MGA n+1 behaves the same as n. \nOverall, the results presented here provide insights into the capabilities of RNA aptamers with respect to ligand binding and catalysis.

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)0,001
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 enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,016
Tête enseignante GPT0,170
Écart entre enseignants0,154 · 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

Citations0
Publié2012
Routes d'admission1
Résumé présentoui

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