@article {70420, title = {In situ molecular architecture of the mammalian sperm nuclear vacuole}, journal = {bioRxiv}, year = {2026}, month = {2026 May 20}, abstract = {

Direct identification of macromolecular complexes in their native context remains a major barrier to unbiased biological discovery. This challenge is particularly acute in mammalian sperm nuclei, in which condensed chromatin is interspersed with poorly understood phase-separated compartments termed nuclear vacuoles. Vacuoles are associated with reduced fertilization efficiency, yet their composition remains unclear. Here we combine high-resolution\ in situ\ cryo-electron tomography (cryo-ET) with AlphaFold docking to identify vacuole components as proteasomes, the proteasome activator PA200, and ferritin.\ In situ\ structures at resolutions up to 3.8 {\r A} reveal distinct proteasome-PA200 associations and gating states, consistent with a stepwise activation mechanism. Ferritin assemblies exhibit heterogeneous mineralization states and directly contact chromatin. Together, these findings establish the molecular organization of sperm nuclear vacuoles and implicate protein turnover and metal homeostasis in shaping the nuclear landscape, while demonstrating the power of\ in situ\ cryo-ET to resolve protein identity and conformational dynamics in native cellular environments.

}, doi = {10.64898/2026.05.18.725999}, url = {https://www.biorxiv.org/content/early/2026/05/20/2026.05.18.725999}, author = {Braxton, Julian R. and Qu, Songrong and Skinner, Will M. and Shiozaki, Momoko and Jean, Nikki and Yan, Rui and Zhao, Xiaowei and Yu, Zhiheng and Lishko, Polina V. and Chen, Zhen} } @article {69904, title = {Quantitative spatial analysis of chromatin biomolecular condensates using cryoelectron tomography.}, journal = {Proc Natl Acad Sci U S A}, volume = {122}, year = {2025}, month = {2025 May 13}, pages = {e2426449122}, abstract = {

Phase separation is an important mechanism to generate certain biomolecular condensates and organize the cell interior. Condensate formation and function remain incompletely understood due to difficulties in visualizing the condensate interior at high resolution. Here, we analyzed the structure of biochemically reconstituted chromatin condensates through cryoelectron tomography. We found that traditional blotting methods of sample preparation were inadequate, and high-pressure freezing plus focused ion beam milling was essential to maintain condensate integrity. To identify densely packed molecules within the condensate, we integrated deep learning-based segmentation with context-aware template matching. Our approaches were developed on chromatin condensates and were also effective on condensed regions of in situ native chromatin. Using these methods, we determined the average structure of nucleosomes to 6.1 and 12 {\r A} resolution in reconstituted and native systems, respectively, found that nucleosomes form heterogeneous interaction networks in both cases, and gained insight into the molecular origins of surface tension in chromatin condensates. Our methods should be applicable to biomolecular condensates containing large and distinctive components in both biochemical reconstitutions and certain cellular systems.

Preprint:\ https://www.biorxiv.org/content/10.1101/2024.12.01.626131v2

}, keywords = {Animals, Biomolecular Condensates, Chromatin, Cryoelectron Microscopy, Electron Microscope Tomography, Nucleosomes}, issn = {1091-6490}, doi = {10.1073/pnas.2426449122}, url = {https://doi.org/10.1073/pnas.2426449122}, author = {Zhou, Huabin and Hutchings, Joshua and Shiozaki, Momoko and Zhao, Xiaowei and Doolittle, Lynda K and Yang, Shixin and Yan, Rui and Jean, Nikki and Riggi, Margot and Yu, Zhiheng and Villa, Elizabeth and Rosen, Michael K} } @article {69688, title = {Quantitative Spatial Analysis of Chromatin Biomolecular Condensates using Cryo-Electron Tomography}, journal = {bioRxiv}, year = {2024}, month = {2024 Dec 02}, abstract = {

Phase separation is an important mechanism to generate certain biomolecular condensates and organize the cell interior. Condensate formation and function remain incompletely understood due to difficulties in visualizing the condensate interior at high resolution. Here we analyzed the structure of biochemically reconstituted chromatin condensates through cryo-electron tomography. We found that traditional blotting methods of sample preparation were inadequate, and high-pressure freezing plus focused ion beam milling was essential to maintain condensate integrity. To identify densely packed molecules within the condensate, we integrated deep learning-based segmentation with novel context-aware template matching. Our approaches were developed on chromatin condensates, and were also effective on condensed regions of in situ native chromatin. Using these methods, we determined the average structure of nucleosomes to 6.1 and 12 {\r A} resolution in reconstituted and native systems, respectively, and found that nucleosomes have a nearly random orientation distribution in both cases. Our methods should be applicable to diverse biochemically reconstituted biomolecular condensates and to some condensates in cells.

}, doi = {10.1101/2024.12.01.626131}, url = {https://doi.org/10.1101/2024.12.01.626131}, author = {Zhou, Huabin and Hutchings, Joshua and Shiozaki, Momoko and Zhao, Xiaowei and Doolittle, Lynda K. and Yang, Shixin and Yan, Rui and Jean, Nikki and Riggi, Margot and Yu, Zhiheng and Villa, Elizabeth and Rosen, Michael K.} }