Exploring Cellular Gateways: Unraveling the Secrets of Disordered Proteins within Live Nuclear Pores

Understanding the spatial organization of nucleoporins (Nups) with intrinsically disordered domains within the nuclear pore complex (NPC) is crucial for deciphering eukaryotic nucleocytoplasmic transport. Leveraging high-speed 2D single-molecule tracking and virtual 3D super-resolution microscopy in live HeLa cells, we investigated the spatial distribution of all eleven phenylalanine-glycine (FG)-rich Nups within individual NPCs. Our study reveals a nuanced landscape of FG-Nup conformations and arrangements. Five FG-Nups are steadfastly anchored at the NPC scaffold, collectively shaping a central doughnut-shaped channel, while six others exhibit heightened flexibility, extending towards the cytoplasmic and nucleoplasmic regions. Intriguingly, Nup214 and Nup153 contribute to cap-like structures that dynamically alternate between open and closed states along the nucleocytoplasmic transport axis, impacting the cytoplasmic and nuclear sides, respectively. Furthermore, Nup98, concentrated at the scaffold region, extends throughout the entire NPC while overlapping with other FG-Nups. Together, these eleven FG-Nups compose a versatile, capped trichoid channel spanning approximately 270 nm across the nuclear envelope. This adaptable trichoid channel facilitates a spectrum of pathways for passive diffusion and facilitated nucleocytoplasmic transport. Our comprehensive mapping of FG-Nup organization within live NPCs offers a unifying mechanism accommodating multiple transport pathways, thereby advancing our understanding of cellular transport processes.

Automated 3D bio-imaging analysis of nuclear organization by NucleusJ 2.0

NucleusJ 1.0, an ImageJ plugin, is a useful tool to analyze nuclear morphology and chromatin organization in plant and animal cells. NucleusJ 2.0 is a new release of NucleusJ, in which image processing is achieved more quickly using a command-lineuser interface. Starting with large collection of 3D nuclei, segmentation can be performed by the previously developed Otsu-modified method or by a new 3D gift-wrapping method, taking better account of nuclear indentations and unstained nucleoli. These two complementary methods are compared for their accuracy by using three types of datasets available to the community at https://www.brookes.ac.uk/indepth/images/ . Finally, NucleusJ 2.0 was evaluated using original plant genetic material by assessing its efficiency on nuclei stained with DNA dyes or after 3D-DNA Fluorescence in situ hybridization. With these improvements, NucleusJ 2.0 permits the generation of large user-curated datasets that will be useful for software benchmarking or to train convolution neural networks.

Probing the 3D architecture of the plant nucleus with microscopy approaches: challenges and solutions

The eukaryotic cell nucleus is a central organelle whose architecture determines genome function at multiple levels. Deciphering nuclear organizing principles influencing cellular responses and identity is a timely challenge. Despite many similarities between plant and animal nuclei, plant nuclei present intriguing specificities. Complementary to molecular and biochemical approaches, 3D microscopy is indispensable for resolving nuclear architecture. However, novel solutions are required for capturing cell-specific, sub-nuclear and dynamic processes. We provide a pointer for utilising high-to-super-resolution microscopy and image processing to probe plant nuclear architecture in 3D at the best possible spatial and temporal resolution and at quantitative and cell-specific levels. High-end imaging and image-processing solutions allow the community now to transcend conventional practices and benefit from continuously improving approaches. These promise to deliver a comprehensive, 3D view of plant nuclear architecture and to capture spatial dynamics of the nuclear compartment in relation to cellular states and responses. Abbreviations: 3D and 4D: Three and Four dimensional; AI: Artificial Intelligence; ant: antipodal nuclei (ant); CLSM: Confocal Laser Scanning Microscopy; CTs: Chromosome Territories; DL: Deep Learning; DLIm: Dynamic Live Imaging; ecn: egg nucleus; FACS: Fluorescence-Activated Cell Sorting; FISH: Fluorescent In Situ Hybridization; FP: Fluorescent Proteins (GFP, RFP, CFP, YFP, mCherry); FRAP: Fluorescence Recovery After Photobleaching; GPU: Graphics Processing Unit; KEEs: KNOT Engaged Elements; INTACT: Isolation of Nuclei TAgged in specific Cell Types; LADs: Lamin-Associated Domains; ML: Machine Learning; NA: Numerical Aperture; NADs: Nucleolar Associated Domains; PALM: Photo-Activated Localization Microscopy; Pixel: Picture element; pn: polar nuclei; PSF: Point Spread Function; RHF: Relative Heterochromatin Fraction; SIM: Structured Illumination Microscopy; SLIm: Static Live Imaging; SMC: Spore Mother Cell; SNR: Signal to Noise Ratio; SRM: Super-Resolution Microscopy; STED: STimulated Emission Depletion; STORM: STochastic Optical Reconstruction Microscopy; syn: synergid nuclei; TADs: Topologically Associating Domains; Voxel: Volumetric pixel.