Soft X-Ray Tomography Reveals Gradual Chromatin Compaction and Reorganization during Neurogenesis In Vivo
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Soft x-ray.pdf
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Author(s)
Le Gros, Mark A.
Clowney, E. Josephine
Magklara, Angeliki
Yen, Angela
Markenscoff-Papadimitriou, Eirene
Colquitt, Bradley
Myllys, Markko
Kellis, Manolis
Lomvardas, Stavros
Larabell, Carolyn A.
Date Issued
November 2016
Journal
Cell Reports
Publisher
Elsevier
Citation
Le Gros, Mark A., E. Josephine Clowney, Angeliki Magklara, Angela Yen, Eirene Markenscoff-Papadimitriou, Bradley Colquitt, Markko Myllys, Manolis Kellis, Stavros Lomvardas, and Carolyn A. Larabell. “Soft X-Ray Tomography Reveals Gradual Chromatin Compaction and Reorganization During Neurogenesis In Vivo.” Cell Reports 17, no. 8 (November 2016): 2125–2136.
Version
Final published version
Abstract
Summary - The realization that nuclear distribution of DNA, RNA, and proteins differs between cell types and developmental stages suggests that nuclear organization serves regulatory functions. Understanding the logic of nuclear architecture and how it contributes to differentiation and cell fate commitment remains challenging. Here, we use soft X-ray tomography (SXT) to image chromatin organization, distribution, and biophysical properties during neurogenesis in vivo. Our analyses reveal that chromatin with similar biophysical properties forms an elaborate connected network throughout the entire nucleus. Although this interconnectivity is present in every developmental stage, differentiation proceeds with concomitant increase in chromatin compaction and re-distribution of condensed chromatin toward the nuclear core. HP1β, but not nucleosome spacing or phasing, regulates chromatin rearrangements because it governs both the compaction of chromatin and its interactions with the nuclear envelope. Our experiments introduce SXT as a powerful imaging technology for nuclear architecture.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-NonCommercial-NoDerivs License
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DOI of Published Version
https://doi.org/10.1016/j.celrep.2016.10.060
