Evidence map›Paper›PMID 40528343›Full record

ArticleBiophysical journal2026

Estimating physical conditions supporting gradients of ATP concentration in the eukaryotic cell.

Rajneesh Kumar, Iain G Johnston

Abstract read
In one paragraph

Article in Biophysical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Energetic gradients emerge in developing motor-microtubule structures.bioRxiv : the preprint server for biology · 2026
    Article
  4. Organelle scaling over a 100-fold cell size range.bioRxiv : the preprint server for biology · 2026
    Article
  5. Diffusive spreading across dynamic mitochondrial network architectures.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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

2 authors.

Rajneesh KumarDepartment of Mathematics, University of Bergen, Bergen, Norway.
Iain G JohnstonDepartment of Mathematics, University of Bergen, Bergen, Norway; Computational Biology Unit, University of Bergen, Bergen, Norway. Electronic address: iain.johnston@uib.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ATP molecule serves as an energy currency in eukaryotes (and all life), providing the energy needed for many essential cellular processes. But the extent to which substantial spatial differences exist in ATP concentration in the cell remains incompletely known. It is variously argued that ATP diffuses too quickly for large gradients to be established, or that the high rates of ATP production and use (sources and sinks) can support large gradients even with rapid diffusion-and microscopic models and detailed experiments in different specific cases support both pictures. Here, we attempt a mesoscopic investigation, using reaction-diffusion modeling in a simple biophysical picture of the cell to attempt to ask, generally, which conditions cause substantial ATP gradients to emerge within eukaryotic cells. If ATP sources (like mitochondria) or sinks (like the nucleus) are spatially clustered, large fold changes in concentration can exist across the cell; if sources and sinks are more spread, then rapid diffusion indeed prevents large gradients from being established. This dependence holds in model cells of different sizes, suggesting its generality across cell types. Our theoretical work will complement developing intracellular approaches exploring ATP concentration inside eukaryotic cells.

Indexed as

Adenosine TriphosphateEukaryotic CellsModels, BiologicalDiffusionAdenosine Triphosphate

Identifiers

PMID40528343
PMCPMC12968834

What OpenQuestion holds

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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.