ReviewTrends in cell biology2015
Cellular Deconstruction: Finding Meaning in Individual Cell Variation.
Review in Trends in cell biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
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.
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Who cites it
16 citing papers in PubMed.
- Assessing the variation of DNA damage response of individual human cells exposed to photon radiation.Radiation and environmental biophysics · 2026Article
- Higher-order interactions in neuronal function: From genes to ionic currents in biophysical models.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The gene regulatory mechanisms shaping the heterogeneity of venom production in the Cape coral snake.Genome biology · 2025Article
- Understanding metabolic plasticity at single cell resolution.Essays in biochemistry · 2024Review
- Single-Cell Heterogeneity in Snake Venom Expression Is Hardwired by Co-Option of Regulators from Progressively Activated Pathways.Genome biology and evolution · 2023Article
- Gene expression underlying parenting and being parented shows limited plasticity in response to different ambient temperatures.Molecular ecology · 2022Article
- Single-cell secretion analysis reveals a dual role for IL-10 in restraining and resolving the TLR4-induced inflammatory response.Cell reports · 2021Article
- Ultra-high throughput single-cell analysis of proteins and RNAs by split-pool synthesis.Communications biology · 2020Article
- Investigating the Effects of Brainstem Neuronal Adaptation on Cardiovascular Homeostasis.Frontiers in neuroscience · 2020Article
- Transcriptional Regulation in the Immune System: One Cell at a Time.Frontiers in immunology · 2019Review
- Single-cell analysis of diversity in human stem cell-derived neurons.Cell and tissue research · 2018Review
- Single cell transcriptomics of noncoding RNAs and their cell-specificity.Wiley interdisciplinary reviews. RNA · 2017Review
- High-Throughput Processing to Preserve Viable Cells: A Precision Medicine Initiative Cohort Program Workshop.Biopreservation and biobanking · 2017Article
- The size-speed-force relationship governs migratory cell response to tumorigenic factors.Molecular biology of the cell · 2017Article
- Variation is function: Are single cell differences functionally important?: Testing the hypothesis that single cell variation is required for aggregate function.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016Review
- The natural defense system and the normative self model.F1000Research · 2016Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The advent of single cell transcriptome analysis has permitted the discovery of cell-to-cell variation in transcriptome expression of even presumptively identical cells. We hypothesize that this variability reflects a many-to-one relation between transcriptome states and the phenotype of a cell. In this relation, the molecular ratios of the subsets of RNA are determined by the stoichiometric constraints of the cell systems, which underdetermine the transcriptome state. Furthermore, the variability is, in part, induced by the tissue context and is important for system-level function. This theory is analogous to theories of literary deconstruction, where multiple 'signifiers' work in opposition to one another to create meaning. By analogy, transcriptome phenotypes should be defined as subsets of RNAs comprising selected RNA systems where the system-associated RNAs are balanced with each other to produce the associated cellular function. This idea provides a framework for understanding cellular heterogeneity in phenotypic responses to variant conditions, such as disease challenge.
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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.