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Enregistrement W4385143373 · doi:10.1093/micmic/ozad067.635

Liquid Transmission Electron Microscopy Imaging of Organic-inorganic Interfaces: Exploring Hydrated Collagen Mineralization Processes

2023· article· en· W4385143373 sur OpenAlexaff
Liza‐Anastasia DiCecco, Ruixin Gao, Jennifer L. Gray, Deborah F. Kelly, Eli D. Sone, Kathryn Grandfield

Notice bibliographique

RevueMicroscopy and Microanalysis · 2023
Typearticle
Langueen
DomaineMaterials Science
ThématiqueCalcium Carbonate Crystallization and Inhibition
Établissements canadiensUniversity of TorontoMcMaster University
Organismes subventionnairesnon disponible
Mots-clésTransmission electron microscopyMineralization (soil science)Materials scienceElectron microscopeChemical engineeringNanotechnologyChemistryOpticsOrganic chemistryPhysics

Résumé

récupéré en direct d'OpenAlex

Collagen biomineralization is essential to the formation and maintenance of hard tissues like bone and teeth. A calcium phosphate (CaP) mineral is the principal inorganic constituent of collagenous mineralized connective tissues, whereby the amount and distribution of CaP contribute to the mechanical properties of these tissues [1]. Thus, understanding collagen mineralization offers several advantages for medical research, such as improving mineralized tissue regeneration and eliciting new treatment pathways for hard-tissue diseases. Traditional and cryo- transmission electron microscopy (TEM) techniques have been used to elicit crucial theories on collagen mineralization within the last few decades [2–5]. However, while studied extensively, collagen mineralization is not fully understood. Notably, the aforementioned techniques only provide time-stamp views in static, dehydrated or frozen conditions, non-representative of the dynamic liquid-state environment where reactions occur in real-time. Recent manufacturing advances in thin-film microchips are pushing imaging boundaries through the advent of a new emerging characterization technique: liquid-TEM. The room-temperature parallel technique to cryo-TEM, liquid-TEM provides a high-resolution opportunity to explore reactions in real-time through the encapsulation of a liquid sample between microchips [6]. Combined with conventional TEM characterization workflows, liquid-TEM offers a dynamic liquid correlative approach to aid in validating mineralization theories, offering unparalleled characterization insight into organic-inorganic interfaces. Despite this potential, limited researchers have used these methods to study organic-inorganic interfaces. To our knowledge in literature, none have studied native, hydrated collagen mineralization using liquid-TEM. Herein, this research aims to get a better insight into collagen biomineralization pathways through the exploration of a new, facile liquid-TEM method. A hybrid thin-film enclosure is adapted from works by DiCecco et al. [6] for this collagen system, where a liquid solution is sandwiched between a silicon nitride (SiNx) microchip with a window membrane thickness of 10 nm (SiMPore Inc., NY, USA) and a 400-mesh Au TEM grid with a 5 nm thin carbon layer (Electron Microscopy Sciences, PA, USA) (Fig. 1). This enclosure is quick and easy to put together and requires limited specialized equipment, providing a far less expensive manner to perform liquid-TEM than commercially available options. Bright field TEM is used for characterization with a Talos 200C (ThermoFisher Scientific, MA, USA) operated at 200 kV with a CETA camera (ThermoFisher Scientific, MA, USA) and a Direct-View direct electron detector (Direct Electron, CA, USA), where electron dosage varied between 40–55 e/Å2 per acquisition. Automated acquisition using SerialEM [7] (University of Colorado, CO, USA) improved imaging efficiency by increasing acquisition throughput with automation and facilitating sample screening through low-magnification mapping, which aided to reduce electron beam exposure during screening. An established rat-tail tendon reconstituted collagen mineralization model was used as a mimic to type I collagen found in hard tissues within the human body [8,9]. Collagen is mineralized in biomimetic conditions with exposure to CaP and polyaspartic acid (pAsp). pAsp is a common additive in in vitro collagen biomineralization models which acts as a mimic to soluble non-collagenous proteins found in natural mineralized collagenous tissues [8]. As a nucleation inhibitor, pAsp stabilizes CaP systems and delays extrafibrillar mineralization events, which have been found to promote intrafibrillar collagen mineralization [8]. The final aqueous-based mineralization solution consisted of collagen fibrils (∼0.1 mg/ml), pAsp (25 μg/ml) (Alamanda Polymers, Mw 14 kDa), 125 mM NaCl, 1.7 mM, CaCl2, and 9 mM Na2HPO4, buffered with 50 mM Tris (pH 7.4, 37°C). Reactions were performed in vitro at 37°C in a water bath mixed at 100 rpm, where time points of interest were studied from the bulk solution for liquid-TEM. Early (∼0–6 hours) to more mature (∼6–18 hours) collagen fibril mineralization periods were successfully probed for characterization using liquid-TEM. At early mineralization, the majority of fibrils appeared unmineralized and had diffuse contrast within their surroundings, where small particulate matter could be observed in solution and adjacent to fibrils (Fig. 2A). Signs of mineralization were noted among select fibril regions at early time points, where fine mineral platelets could be visualized aligned in parallel along the long axis of a small minority of collagen fibrils (Fig. 2). Selective electron area diffraction of mineralized collagen regions highlighted fine diffraction (002) and (004) arcs, characteristic of the formation of CaP apatite crystals formed preferentially along the fibril long axis. In more mature collagen mineralization periods past the ∼ 6-hour mineralization period, most of the fibrils present appeared to show signs of mineralization, gaining higher contrast in solution with the presence of CaP apatite crystals. Observations made in liquid-TEM were in good agreement with correlative imaging used involving dry conventional TEM preparation methods. This work provides an innovative approach for studying CaP collagen mineralization systems using liquid-TEM, laying a foundation for studying inorganic-organic interfaces in native, hydrated conditions and for the study of dynamic liquid experiments in future [10]. Liquid-TEM microchip enclosure overview. (A) Assembly process of the liquid-TEM microchip enclosure used for this research. (B) Enclosure cross-section with key dimensions. Representative bright field liquid-TEM imaging of collagen fibrils mineralized for approximately 4 hours in the presence of pAsp. (A) Overview of representative region, with callouts highlighting darker collagen fibrils which appear mineralized in comparison to more diffuse regions of unmineralized collagen fibrils in the background. (B) Magnified view of collagen fibril where mineral platelets can be visualized. (C) Selective electron area diffraction pattern of mineralized region enclosed in (B) highlights CaP apatite crystals have formed preferentially along the long-axis of the collagen fibrils, with characteristic (002) and (004) arcs noted.

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 enseignants0,002
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

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

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 Opus0,017
Tête enseignante GPT0,267
Écart entre enseignants0,250 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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