Revealing the Ultrastructure and Intracellular Distributions of Secretory Granules in Malignant Human Mast Cells by Volume Electron Microscopy
Notice bibliographique
Résumé
The human mast cell-1 (HMC-1) cell line was established from a patient with mast cell leukemia and is the first established continuously growing HMC line which has been widely employed for in vitro studies of human mast cell biology. HMC-1 has been further subcloned into two sublines: HMC-1.1 and HMC-1.2, having one point and two-point mutations in the protooncogene c-kit, respectively. It has been hypothesized that these specific mutations in c-kit are associated with changes in granule biogenesis except for the phenotype and cellular growth rate [1, 2]. In our previous study, transmission electron microscopy (TEM) micrography of ultra-thin sections showed that the secretory granules in the two sublines of resting HMC-1 cells have different ultrastructures. And the structural evolution of granules in HMC-1.2 is prominent upon drug treatment with sodium butyrate [2]. However, individual 2D images of cell thin sections couldn’t give a full picture of differences in terms of granular distribution, content density or ultrastructures. It is therefore necessary to develop approaches that can better distinguish changes in granule using more robust techniques. Herein, volume electron microscopy (vEM) was applied to explore 3D intracellular structures of secretory granules and their cytoplasmic distributions in HMC-1 cells, which may link their structures to physiological function differences [3]. In brief, HMC-1 cells were cultured in suspension using standard protocols [2]. After 1 month of culture with a complete media change every 2 days, cells were collected for volume EM sample preparation. The harvested cells were chemically fixed with 1.5% glutaraldehyde and 2% paraformaldehyde, and pre-stained with heavy metal salt solution containing osmium tetroxide and lead aspartate. Then cell pellets were sequentially dehydrated using 30%, 50%, 70%, 90%, 100% ethanol, followed by embedding with fresh LR white and polymerization at 55°C for overnight. Resin blocks of the cells were trimmed and sectioned using ultramicrotomy to expose the cell interfaces and evaluated for image contrast in SEM. Then the exposed block surfaces were coated with gold thin films for slicing and imaging in a plasma focused ion beam scanning electron microscope (FIB-SEM) dual beam system. Cells with cytoplasmic granules and in the position of half a cell (judged by the nuclear size) were selected for slicing and viewing. FIB slicing step size was set to 5 nm and images were taken every second slice. The total sliced volume was 25 µm x 22 µm x 7 µm. After tilt corrections for image pixel resolution and alignment, the 3D ultrastructure of half a cell or cell in a depth great than 3 µm was reconstructed. The secretory granules, mitochondria and nuclear organelles were identified from sliced images and the reconstructed 3D volume view of cells, as shown in Fig. 1 of a typical reconstructed 3D micrography of HMC-1.2 cell. The secretory granules of interest are elliptical in shape with more uniform contents in the compartments with a size of 300-600 nm and 200-480 nm in long and short axis, respectively. The granular membranes are bilayer membranes. Compared with those in HMC-1.2 cells, granules in HMC-1.1 cells have more vacuoles and densely packed contents. The size and compartment contents are more heterogeneous, which may result in heterogeneous morphology and size of HMC-1.1 cells [4]. Three – dimensional rendering of a typical reconstructed intracellular structure of HMC-1.2 cell: a) slice view; and b) volume view.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».