3D correlative light and electron microscopy of cultured cells using serial blockface scanning electron microscopy.
Matthew Robert Geoffrey RussellThomas R LernerJemima J BurdenDavid O NkweAnnegret Pelchen-MatthewsMarie-Charlotte DomartJoanne DurganAnne WestonMartin L JonesChristopher J PeddieRaffaella CarzanigaOliver FloreyMark MarshMaximiliano G GutierrezLucy M CollinsonPublished in: Journal of cell science (2016)
The processes of life take place in multiple dimensions, but imaging these processes in even three dimensions is challenging. Here, we describe a workflow for 3D correlative light and electron microscopy (CLEM) of cell monolayers using fluorescence microscopy to identify and follow biological events, combined with serial blockface scanning electron microscopy to analyse the underlying ultrastructure. The workflow encompasses all steps from cell culture to sample processing, imaging strategy, and 3D image processing and analysis. We demonstrate successful application of the workflow to three studies, each aiming to better understand complex and dynamic biological processes, including bacterial and viral infections of cultured cells and formation of entotic cell-in-cell structures commonly observed in tumours. Our workflow revealed new insight into the replicative niche of Mycobacterium tuberculosis in primary human lymphatic endothelial cells, HIV-1 in human monocyte-derived macrophages, and the composition of the entotic vacuole. The broad application of this 3D CLEM technique will make it a useful addition to the correlative imaging toolbox for biomedical research.
Keyphrases
- electron microscopy
- endothelial cells
- high resolution
- single cell
- mycobacterium tuberculosis
- induced apoptosis
- cell therapy
- high glucose
- electronic health record
- cell cycle arrest
- antiretroviral therapy
- human immunodeficiency virus
- vascular endothelial growth factor
- hepatitis c virus
- signaling pathway
- hiv positive
- sars cov
- oxidative stress
- hiv infected
- pluripotent stem cells
- single molecule
- bone marrow
- stem cells
- peripheral blood
- cell death
- south africa
- machine learning
- hiv aids
- pulmonary tuberculosis