Soft X-ray tomography to map and quantify organelle interactions at the mesoscale

Loconte, Valentina; Singla, Jitin; Li, Angdi; Chen, Jian-Hua; Ekman, Axel; McDermott, Gerry; Sali, Andrej; Le Gros, Mark; White, Kate L.; Larabell, Carolyn A.

doi:10.1016/j.str.2022.01.006

Soft X-ray tomography to map and quantify organelle interactions at the mesoscale

Journal Article · Thu Feb 10 00:00:00 EST 2022 · Structure

DOI:https://doi.org/10.1016/j.str.2022.01.006· OSTI ID:1882845

^[1]; ^[2]; ^[3]; Chen, Jian-Hua ^[4]; Ekman, Axel ^[4]; McDermott, Gerry ^[4]; Sali, Andrej ^[5]; Le Gros, Mark ^[4]; ^[6]; ^[4]

ShanghaiTech Univ. (China); Univ. of California, San Francisco, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Univ. of Southern California, Los Angeles, CA (United States); Indian Inst. of Technology (IIT), Roorkee (India)
ShanghaiTech Univ. (China)
Univ. of California, San Francisco, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Univ. of California, San Francisco, CA (United States)
Univ. of Southern California, Los Angeles, CA (United States)

Inter-organelle interactions are a vital part of normal cellular function; however, these have proven difficult to quantify due to the range of scales encountered in cell biology and the throughput limitations of traditional imaging approaches. Here, we demonstrate that soft X-ray tomography (SXT) can be used to rapidly map ultrastructural reorganization and inter-organelle interactions in intact cells. SXT takes advantage of the naturally occurring, differential X-ray absorption of the carbon-rich compounds in each organelle. Specifically, we use SXT to map the spatiotemporal evolution of insulin vesicles and their co-localization and interaction with mitochondria in pancreatic β cells during insulin secretion and in response to different stimuli. We quantify changes in the morphology, biochemical composition, and relative position of mitochondria and insulin vesicles. These findings highlight the importance of a comprehensive and unbiased mapping at the mesoscale to characterize cell reorganization that would be difficult to detect with other existing methodologies.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: Bridge Institute; Burroughs Wellcome Fund; National Institutes of Health (NIH); National Natural Science Foundation of China (NSFC); USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Biological and Environmental Research (BER); University of Southern California (USC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1882845

Journal Information:: Structure, Journal Name: Structure Journal Issue: 4 Vol. 30; ISSN 0969-2126

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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References (51)

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