Evidence map›Paper›PMID 38411832›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Analyzing Photoactivation with Diffusion Models to Study Transport in the Endoplasmic Reticulum Network.

Matteo Dora, Frédéric Paquin-Lefebvre, David Holcman

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 56% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 2 countries.

Matteo DoraApplied Mathematics and Computational Biology, Ecole Normale Supérieure, Paris, France.
Frédéric Paquin-LefebvreApplied Mathematics and Computational Biology, Ecole Normale Supérieure, Paris, France.
David HolcmanApplied Mathematics and Computational Biology, Ecole Normale Supérieure, Paris, France.
Institut de Biologie de l'École Normale Supérieure · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoactivation is a paradigm consisting in local molecular fluorescent activation by laser illumination in a chosen region (source) while measuring the concentration at a target region. Data-driven modeling is concerned with the following questions: how from the measurement in these two regions is it possible to infer the properties of molecular propagation? How is it possible to use such responses to infer motions occurring in networks such as the endoplasmic reticulum? In this book chapter, we shall review the data-driven analysis based on diffusion-transport models and numerical simulations to interpret the photoactivation dynamics and extract biophysical parameters. We will discuss modeling approaches to reconstruct local network properties from photoactivation transients.

Indexed as

Coloring AgentsEndoplasmic ReticulumBiophysicsDiffusionLightColoring AgentsDiffusionEndoplasmic reticulumModelingNetworkPhotoactivation

Identifiers

PMID38411832
OpenAlexW4392214198

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.