Evidence map›Paper›PMID 33298443›Full record

ArticleScience advances2020

Visualizing subcellular rearrangements in intact β cells using soft x-ray tomography.

Kate L White, Jitin Singla, Valentina Loconte, Jian-Hua Chen, Axel Ekman, Liping Sun, Xianjun Zhang, John Paul Francis, Angdi Li, Wen Lin and 6 more

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 64 citations in OpenAlex.

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  18. Integrative modeling of the cell.Acta biochimica et biophysica Sinica · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 6 institutions in 2 countries.

Kate L WhiteDepartment of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA. stevens@usc.edu calarabell@lbl.gov sali@salilab.org katewhit@usc.edu.ORCID 0000-0001-8894-9621
Jitin SinglaDepartment of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0001-6225-0783
Valentina LoconteiHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0001-5715-9993
Jian-Hua ChenLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.ORCID 0000-0002-7998-0878
Axel EkmanDepartment of Anatomy, University of California, San Francisco, San Francisco, CA 94143, USA.
Liping SuniHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.
Xianjun ZhangDepartment of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-3554-780X
John Paul FrancisDepartment of Computer Science, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
Angdi LiiHuman Institute, School of Life Science and Technology, ShanghaiTech University, Shanghai 201210, China.ORCID 0000-0001-6143-6295
Wen LinDepartment of Chemistry, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.
Kaylee TsengDepartment of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0001-7450-2247
Gerry McDermottLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.
Frank AlberDepartment of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA.ORCID 0000-0003-1981-8390
Andrej SaliCalifornia Institute for Quantitative Biosciences, Department of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA. stevens@usc.edu calarabell@lbl.gov sali@salilab.org katewhit@usc.edu.ORCID 0000-0003-0435-6197
Carolyn LarabellLawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. stevens@usc.edu calarabell@lbl.gov sali@salilab.org katewhit@usc.edu.ORCID 0000-0002-6262-4789
Raymond C StevensDepartment of Biological Sciences, Bridge Institute, USC Michelson Center for Convergent Bioscience, University of Southern California, Los Angeles, CA 90089, USA. stevens@usc.edu calarabell@lbl.gov sali@salilab.org katewhit@usc.edu.ORCID 0000-0002-4522-8725
University of Southern California · USLawrence Berkeley National Laboratory · USQB3 · USShanghaiTech University · CNConvergent Science (United States) · USUniversity of California, San Francisco · US

Funding

TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
TrainingP41GM103445 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARABELL, CAROLYN A · 2012 to 2019
$8.2M
IMP: Software for Hybrid Determination of Macromolecular Assembly StructuresR01GM083960 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2008 to 2024
$5.2M
User Training and OutreachP30GM138441 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARABELL, CAROLYN A · 2020 to 2023
$3.7M
NIGMS NIH HHS P30 GM138441NIGMS NIH HHS P41 GM103445NIGMS NIH HHS P41 GM109824NIGMS NIH HHS R01 GM083960
6 · The paper itself

Abstract

Characterizing relationships between cell structures and functions requires mesoscale mapping of intact cells showing subcellular rearrangements following stimulation; however, current approaches are limited in this regard. Here, we report a unique application of soft x-ray tomography to generate three-dimensional reconstructions of whole pancreatic β cells at different time points following glucose-stimulated insulin secretion. Reconstructions following stimulation showed distinct insulin vesicle distribution patterns reflective of altered vesicle pool sizes as they travel through the secretory pathway. Our results show that glucose stimulation caused rapid changes in biochemical composition and/or density of insulin packing, increased mitochondrial volume, and closer proximity of insulin vesicles to mitochondria. Costimulation with exendin-4 (a glucagon-like peptide-1 receptor agonist) prolonged these effects and increased insulin packaging efficiency and vesicle maturation. This study provides unique perspectives on the coordinated structural reorganization and interactions of organelles that dictate cell responses.

Identifiers

PMID33298443
PMCPMC7725475
OpenAlexW3112952736

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.