3D structured illumination microscopy of mammalian embryos and spermatozoa

Aqueous mounting media increasing tissue translucence improve image quality in Structured Illumination Microscopy of thick biological specimen

Structured Illumination Microscopy (SIM) is a super-resolution microscopy method that has significantly advanced studies of cellular structures. It relies on projection of illumination patterns onto a fluorescently labelled biological sample. The information derived from the sample is then shifted to a detectable band, and in the process of image calculation in Fourier space the resolution is doubled. Refractive index homogeneity along the optical path is crucial to maintain a highly modulated illumination pattern necessary for high-quality SIM. This applies in particular to thick samples consisting of large cells and tissues. Surprisingly, sample mounting media for SIM have not undergone a significant evolution for almost a decade. Through identification and systematic evaluation of a number of non-hazardous, water-soluble chemical components of mounting media, we demonstrate an unprecedented improvement in SIM-image quality. Mounting solutions presented in this research are capable of reducing abundant light scattering which constitutes the limiting factor in 3D-SIM imaging of large Hodgkin's lymphoma and embryonic stem cells as well as 10 µm tissue sections. Moreover, we demonstrate usefulness of some of the media in single molecule localisation microscopy. The results presented here are of importance for standardisation of 3D-SIM data acquisition pipelines for an expanding community of users.

Initial high-resolution microscopic mapping of active and inactive regulatory sequences proves non-random 3D arrangements in chromatin domain clusters

BACKGROUND

The association of active transcription regulatory elements (TREs) with DNAse I hypersensitivity (DHS[+]) and an 'open' local chromatin configuration has long been known. However, the 3D topography of TREs within the nuclear landscape of individual cells in relation to their active or inactive status has remained elusive. Here, we explored the 3D nuclear topography of active and inactive TREs in the context of a recently proposed model for a functionally defined nuclear architecture, where an active and an inactive nuclear compartment (ANC-INC) form two spatially co-aligned and functionally interacting networks.

RESULTS

Using 3D structured illumination microscopy, we performed 3D FISH with differently labeled DNA probe sets targeting either sites with DHS[+], apparently active TREs, or DHS[-] sites harboring inactive TREs. Using an in-house image analysis tool, DNA targets were quantitatively mapped on chromatin compaction shaped 3D nuclear landscapes. Our analyses present evidence for a radial 3D organization of chromatin domain clusters (CDCs) with layers of increasing chromatin compaction from the periphery to the CDC core. Segments harboring active TREs are significantly enriched at the decondensed periphery of CDCs with loops penetrating into interchromatin compartment channels, constituting the ANC. In contrast, segments lacking active TREs (DHS[-]) are enriched toward the compacted interior of CDCs (INC).

CONCLUSIONS

Our results add further evidence in support of the ANC-INC network model. The different 3D topographies of DHS[+] and DHS[-] sites suggest positional changes of TREs between the ANC and INC depending on their functional state, which might provide additional protection against an inappropriate activation. Our finding of a structural organization of CDCs based on radially arranged layers of different chromatin compaction levels indicates a complex higher-order chromatin organization beyond a dichotomic classification of chromatin into an 'open,' active and 'closed,' inactive state.

Quantitative analyses of the 3D nuclear landscape recorded with super-resolved fluorescence microscopy

Recent advancements of super-resolved fluorescence microscopy have revolutionized microscopic studies of cells, including the exceedingly complex structural organization of cell nuclei in space and time. In this paper we describe and discuss tools for (semi-) automated, quantitative 3D analyses of the spatial nuclear organization. These tools allow the quantitative assessment of highly resolved different chromatin compaction levels in individual cell nuclei, which reflect functionally different regions or sub-compartments of the 3D nuclear landscape, and measurements of absolute distances between sites of different chromatin compaction. In addition, these tools allow 3D mapping of specific DNA/RNA sequences and nuclear proteins relative to the 3D chromatin compaction maps and comparisons of multiple cell nuclei. The tools are available in the free and open source R packages nucim and bioimagetools. We discuss the use of masks for the segmentation of nuclei and the use of DNA stains, such as DAPI, as a proxy for local differences in chromatin compaction. We further discuss the limitations of 3D maps of the nuclear landscape as well as problems of the biological interpretation of such data.