Evidence map›Paper›PMID 36519968›Full record

ReviewFASEB journal : official publication of the Federation of American Societies for Experimental Biology2023

Soft X-ray tomograms provide a structural basis for whole-cell modeling.

Valentina Loconte, Jian-Hua Chen, Bieke Vanslembrouck, Axel A Ekman, Gerry McDermott, Mark A Le Gros, Carolyn A Larabell

Open access · hybridAbstract readReview
In one paragraph

Review in FASEB journal : official publication of the Federation of American Societies for Experimental Biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Valentina LoconteDepartment of Anatomy, University of California San Francisco, San Francisco, California, USA.
Jian-Hua ChenDepartment of Anatomy, University of California San Francisco, San Francisco, California, USA.
Bieke VanslembrouckDepartment of Anatomy, University of California San Francisco, San Francisco, California, USA.
Axel A EkmanNational Center for X-ray Tomography, Advanced Light Source, Berkeley, California, USA.
Gerry McDermottDepartment of Anatomy, University of California San Francisco, San Francisco, California, USA.
Mark A Le GrosDepartment of Anatomy, University of California San Francisco, San Francisco, California, USA.
Carolyn A LarabellDepartment of Anatomy, University of California San Francisco, San Francisco, California, USA.ORCID https://orcid.org/0000-0002-6262-4789
Lawrence Berkeley National Laboratory · USAdvanced Light Source

Funding

TrainingP41GM103445 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LARABELL, CAROLYN A · 2012 to 2019
$8.2M
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 GM103445
6 · The paper itself

Abstract

Developing in silico models that accurately reflect a whole, functional cell is an ongoing challenge in biology. Current efforts bring together mathematical models, probabilistic models, visual representations, and data to create a multi-scale description of cellular processes. A realistic whole-cell model requires imaging data since it provides spatial constraints and other critical cellular characteristics that are still impossible to obtain by calculation alone. This review introduces Soft X-ray Tomography (SXT) as a powerful imaging technique to visualize and quantify the mesoscopic (~25 nm spatial scale) organelle landscape in whole cells. SXT generates three-dimensional reconstructions of cellular ultrastructure and provides a measured structural framework for whole-cell modeling. Combining SXT with data from disparate technologies at varying spatial resolutions provides further biochemical details and constraints for modeling cellular mechanisms. We conclude, based on the results discussed here, that SXT provides a foundational dataset for a broad spectrum of whole-cell modeling experiments.

Indexed as

Imaging, Three-DimensionalTomography, X-RayOrganellesX-Rayscell structuresoft X-ray tomographysubcellular organizationwhole-cell modeling

Identifiers

PMID36519968
PMCPMC10107707
OpenAlexW4311739963

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.