ReviewBiophysical journal2014
Using fluctuation analysis to establish causal relations between cellular events without experimental perturbation.
Review in Biophysical journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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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.
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Who cites it
13 citing papers in PubMed.
- Reconstructing Actin Dynamics of the Leading Edge from Observational Data.bioRxiv : the preprint server for biology · 2026Article
- Article
- Filopodial protrusion driven by density-dependent Ena-TOCA-1 interactions.Journal of cell science · 2024Article
- Quantifying the phenotypic information in mRNA abundance.Molecular systems biology · 2022Article
- Granger-causal inference of the lamellipodial actin regulator hierarchy by live cell imaging without perturbation.Cell systems · 2022Article
- Leading edge maintenance in migrating cells is an emergent property of branched actin network growth.eLife · 2022Article
- Dynamics as a cause for the nanoscale organization of the genome.Nucleus (Austin, Tex.) · 2020Article
- Discovery of functional interactions among actin regulators by analysis of image fluctuations in an unperturbed motile cell system.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018Review
- Image-based spatiotemporal causality inference for protein signaling networks.Bioinformatics (Oxford, England) · 2017Article
- Exploiting Bioprocessing Fluctuations to Elicit the Mechanistics of De Novo Lipogenesis in Yarrowia lipolytica.PloS one · 2017Article
- Diagonally Scanned Light-Sheet Microscopy for Fast Volumetric Imaging of Adherent Cells.Biophysical journal · 2016Article
- Quantitative Multiscale Cell Imaging in Controlled 3D Microenvironments.Developmental cell · 2016Article
- Deconvolution-free Subcellular Imaging with Axially Swept Light Sheet Microscopy.Biophysical journal · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Experimental perturbations are commonly used to establish causal relationships between the molecular components of a pathway and their cellular functions; however, this approach suffers inherent limitations. Especially in pathways with a significant level of nonlinearity and redundancy among components, such perturbations induce compensatory responses that obscure the actual function of the targeted component in the unperturbed pathway. A complementary approach uses constitutive fluctuations in component activities to identify the hierarchy of information flow through pathways. Here, we review the motivation for using perturbation-free approaches and highlight recent advances made in using perturbation-free fluctuation analysis as a means to establish causality among cellular events.
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Registered trials
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.