ArticleFrontiers in physiology2012
Is central dogma a global property of cellular information flow?
Article in Frontiers in physiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- mRNA-based therapeutics in lung Cancer: Mechanisms, applications, and translational challenges.Journal, genetic engineering & biotechnology · 2026Review
- Towards multi-omics synthetic data integration.Briefings in bioinformatics · 2024Review
- Glycobiology of Cancer: Sugar Drives the Show.Medicines (Basel, Switzerland) · 2022Article
- The remodel of the "central dogma": a metabolomics interaction perspective.Metabolomics : Official journal of the Metabolomic Society · 2021Review
- Connecting primitive phase separation to biotechnology, synthetic biology, and engineering.Journal of biosciences · 2021Review
- ScatLay: utilizing transcriptome-wide noise for identifying and visualizing differentially expressed genes.Scientific reports · 2020Article
- Transcriptome-wide variability in single embryonic development cells.Scientific reports · 2014Article
- Uncertainty and certainty in cellular dynamics.Frontiers in genetics · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The central dogma of molecular biology has come under scrutiny in recent years. Here, we reviewed high-throughput mRNA and protein expression data of Escherichia coli, Saccharomyces cerevisiae, and several mammalian cells. At both single cell and population scales, the statistical comparisons between the entire transcriptomes and proteomes show clear correlation structures. In contrast, the pair-wise correlations of single transcripts to proteins show nullity. These data suggest that the organizing structure guiding cellular processes is observed at omics-wide scale, and not at single molecule level. The central dogma, thus, globally emerges as an average integrated flow of cellular information.
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Registered trials
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