Temporal Regulation of Organelle Biogenesis is a research paper. On theSindex it has a DataRank of 0.113. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
Abstract Organelle abundance is tightly regulated in eukaryotic cells in response to external stimuli. The underlying mechanisms responsible for this regulation remains less understood. Time-lapse imaging of fluorescently labelled organelles allow for counting individual organelle copies at a single-cell level. These experiments contain information about the time evolution of distribution of organelle number across a population of cells. To tap onto such data, we build upon a recently proposed kinetic model of organelle biogenesis that explicitly incorporates de novo synthesis, fission, fusion and degradation of organelles. Different limits of this general model correspond to distinct mechanisms of organelle biogenesis. We compute the first two moments of organelle number distribution for these different mechanisms. Interestingly, different mechanisms of biogenesis lead to qualitatively distinct temporal behavior of cell-to-cell variability (noise), thereby allowing us to discern between these mechanisms. Notably, noise in temporal organelle abundance exhibits strikingly more complex behaviour as compared to the steady state. Our modeling framework paves the way for extracting quantitative information about the dynamics of organelle biogenesis from time-lapse experiments that can measure organelle abundance at single-molecule resolution.
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Base Score Contribution
0.104
From this paper's citation signal
Citation Network Contribution
8.66 × 10⁻³
From 1 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 92% comes from its base citations and 8% from the citation network (1 citing paper contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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