Evidence map›Paper›PMID 39702839›Full record

ArticleNature computational science2025

Spatial modeling algorithms for reactions and transport in biological cells.

Emmet A Francis, Justin G Laughlin, Jørgen S Dokken, Henrik N T Finsberg, Christopher T Lee, Marie E Rognes, Padmini Rangamani

Erratum issuedAbstract read
In one paragraph

Article in Nature computational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Emmet A Francis *Department of Pharmacology, University of California San Diego School of Medicine, La Jolla, CA, USA.ORCID 0000-0001-6070-805X
Justin G Laughlin *Department of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0001-8229-9760
Jørgen S DokkenDepartment of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway.
Henrik N T FinsbergDepartment of Computational Physiology, Simula Research Laboratory, Oslo, Norway.ORCID 0000-0003-3766-2393
Christopher T LeeDepartment of Mechanical and Aerospace Engineering, University of California San Diego, La Jolla, CA, USA.ORCID 0000-0002-0670-2308
Marie E RognesDepartment of Numerical Analysis and Scientific Computing, Simula Research Laboratory, Oslo, Norway. meg@simula.no.ORCID 0000-0002-6872-3710
Padmini RangamaniDepartment of Pharmacology, University of California San Diego School of Medicine, La Jolla, CA, USA. prangamani@health.ucsd.edu.ORCID 0000-0001-5953-4347

Funding

CRCNS: Biophysical modeling of axonal morphology and functionR01MH139350 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Padmini Rangamani · 2024 to 2026
$1.1M
National Science Foundation (NSF) EEC-2127509 (to ASEE)NIMH NIH HHS R01 MH139350Norges Forskningsråd (Research Council of Norway) 324239 (EMIx)United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) MURI FA9550-18-1-0051
6 · The paper itself

Abstract

Biological cells rely on precise spatiotemporal coordination of biochemical reactions to control their functions. Such cell signaling networks have been a common focus for mathematical models, but they remain challenging to simulate, particularly in realistic cell geometries. Here we present Spatial Modeling Algorithms for Reactions and Transport (SMART), a software package that takes in high-level user specifications about cell signaling networks and then assembles and solves the associated mathematical systems. SMART uses state-of-the-art finite element analysis, via the FEniCS Project software, to efficiently and accurately resolve cell signaling events over discretized cellular and subcellular geometries. We demonstrate its application to several different biological systems, including yes-associated protein (YAP)/PDZ-binding motif (TAZ) mechanotransduction, calcium signaling in neurons and cardiomyocytes, and ATP generation in mitochondria. Throughout, we utilize experimentally derived realistic cellular geometries represented by well-conditioned tetrahedral meshes. These scenarios demonstrate the applicability, flexibility, accuracy and efficiency of SMART across a range of temporal and spatial scales.

Indexed as

AlgorithmsModels, BiologicalAdenosine TriphosphateAnimalsCalcium SignalingComputer SimulationFinite Element AnalysisHumansMechanotransduction, CellularMitochondriaMyocytes, CardiacNeuronsSignal TransductionSoftwareAdenosine Triphosphate

Identifiers

PMID39702839
PMCPMC11774757

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Registered trials

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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 OpenQuestion graph.