ReviewMolecular cell2016
What's Luck Got to Do with It: Single Cells, Multiple Fates, and Biological Nondeterminism.
Review in Molecular cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.
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.
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.
Who cites it
109 citing papers in PubMed.
- Genome-wide chromatin recording resolves dynamic cell state changes.Cell systems · 2026Article
- Genome-wide chromatin recording resolves dynamic cell state changes.bioRxiv : the preprint server for biology · 2026Article
- Single-Cell Proteomic Technologies: Tools in the Quest for Principles.Annual review of biophysics · 2026Review
- Lineage-resolved lifetime modelling reveals potential quiescence and synchronization among MDA-MB-468 breast cancer cells.Frontiers in cell and developmental biology · 2026Article
- Single-cell dynamics reveal a stress-induced decision between hypertrophy and apoptosis in neonatal rat cardiomyocytes.Journal of molecular and cellular cardiology plus · 2025Article
- Priestia megaterium cells are primed for surviving lethal doses of antibiotics and chemical stress.Communications biology · 2025Article
- Innate Immune Memory is Stimulus Specific.bioRxiv : the preprint server for biology · 2025Article
- Linking signaling dynamics and cell fate decisions through single-cell imaging: evidence and challenges.Frontiers in cell and developmental biology · 2025Review
- Transcriptional silencing in Saccharomyces cerevisiae: known unknowns.Epigenetics & chromatin · 2024Review
- Exploring the Surface: Sampling of Potential Skin Cancer Biomarkers Kynurenine and Tryptophan, Studied on 3D Melanocyte and Melanoma Models.Biomolecules · 2024Article
- Single-nucleus proteomics identifies regulators of protein transport.bioRxiv : the preprint server for biology · 2024Article
- Gram-positive bacteria are primed for surviving lethal doses of antibiotics and chemical stress.bioRxiv : the preprint server for biology · 2024Article
- Protocol to study the inheritance and propagation of non-genetically encoded states using barcode decay lineage tracing.STAR protocols · 2024Article
- Variability in Neural Circuit Formation.Cold Spring Harbor perspectives in biology · 2024Review
- Retrospective identification of cell-intrinsic factors that mark pluripotency potential in rare somatic cells.Cell systems · 2024Article
- Unraveling IFN-I response dynamics and TNF crosstalk in the pathophysiology of systemic lupus erythematosus.Frontiers in immunology · 2024Article
- mtFociCounter for automated single-cell mitochondrial nucleoid quantification and reproducible foci analysis.Nucleic acids research · 2023Article
- Article
- Yeast Heterochromatin Only Stably Silences Weak Regulatory Elements by Altering Burst Duration.bioRxiv : the preprint server for biology · 2023Article
- Article
49 more citing papers are in PubMed but not listed here.
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
Abstract
The field of single-cell biology has morphed from a philosophical digression at its inception, to a playground for quantitative biologists, to a major area of biomedical research. The last several years have witnessed an explosion of new technologies, allowing us to apply even more of the modern molecular biology toolkit to single cells. Conceptual progress, however, has been comparatively slow. Here, we provide a framework for classifying both the origins of the differences between individual cells and the consequences of those differences. We discuss how the concept of "random" differences is context dependent, and propose that rigorous definitions of inputs and outputs may bring clarity to the discussion. We also categorize ways in which probabilistic behavior may influence cellular function, highlighting studies that point to exciting future directions in the field.
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What OpenQuestion holds
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.