The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Precise Developmental Gene Expression Arises from Globally Stochastic Transcriptional Activity
Open accessAbstract
SUMMARY Early embryonic patterning events are strikingly precise. The underlying molecular details are elusive and appear incompatible with stochastic gene expression observed across phyla. Using single molecule mRNA quantification in Drosophila embryos, we determine the magnitude of fluctuations in the expression of four critical patterning genes. The accumulation of mRNAs is identical across genes and fluctuates by ~8% between neighboring nuclei to generate precise protein distributions. In contrast, transcribing loci exhibit an intrinsic noise of ~45% independent of specific promoter-enhancer architecture or fluctuating inputs. The embryo recovers precise transcript distribution through straightforward spatiotemporal averaging without regulatory feedback. The common expression characteristics shared between genes suggest that the noise of fundamental physical constraints dominates the fluctuations of immediate transcriptional readout.
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Cites
Bacterial Persistence as a Phenotypic Switch
Balaban, N. Q., Merrin, J., Chait, R., Kowalik, L., & Leibler, S. (2004) · Science · doi:10.1126/science.1099390 · Cited by 2,952 · cited 1×
“…at sufficiently high densities such that precision is not required to ensure survival of a large fraction of the population; indeed, in several cases, stochastic expression serves to maximize survival options (Balaban et al., 2004; Maamar et al., 2007; Mirouze et al., 2011; Nachman et al., 2007).”
Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cells
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“The estimated variation in transcriptional activity at an individual locus is very similar to the minimum value of $50% observed for differences in mRNA numbers for the most highly expressed genes in yeast and E. coli (Gandhi et al., 2011; Taniguchi et al., 2010).”
InfluentialStochastic mRNA Synthesis in Mammalian Cells
Raj, A., Peskin, C. S., Tranchina, D., Vargas, D. Y., & Tyagi, S. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040309 · Cited by 1,737
Single-cell proteomic analysis of S. cerevisiae reveals the architecture of biological noise
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Noise in protein expression scales with natural protein abundance
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Single-RNA counting reveals alternative modes of gene expression in yeast
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The zinc-finger protein Zelda is a key activator of the early zygotic genome in Drosophila
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Progression of the cell cycle through mitosis leads to abortion of nascent transcripts
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Unmasking Activation of the Zygotic Genome Using Chromosomal Deletions in the Drosophila Embryo
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Cellular Noise Regulons Underlie Fluctuations in Saccharomyces cerevisiae
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Cited by
Single-nucleus and single-cell transcriptomes compared in matched cortical cell types
Bakken, T. E., Hodge, R. D., Miller, J. A., Yao, Z., Nguyen, T. N., Aevermann, B., Barkan, E., Bertagnolli, D., Casper, T., Dee, N., et al. (2018) · PLoS ONE · doi:10.1371/journal.pone.0209648 · Cited by 608
Dynamic interplay between enhancer–promoter topology and gene activity
Chen, H., Levo, M., Barinov, L., Fujioka, M., Jaynes, J. B., & Gregor, T. (2018) · Nature Genetics · doi:10.1038/s41588-018-0175-z · Cited by 483
Self-citationThe maternal-to-zygotic transition revisited
Vastenhouw, N. L., Cao, W. X., & Lipshitz, H. D. (2019) · Development · doi:10.1242/dev.161471 · Cited by 445
Garcia, H. G., Tikhonov, M., Lin, A., & Gregor, T. (2013) · Current Biology · doi:10.1016/j.cub.2013.08.054 · Cited by 346
Self-citationEnhancer additivity and non-additivity are determined by enhancer strength in the Drosophila embryo
Bothma, J. P., Garcia, H. G., Ng, S., Perry, M. W., Gregor, T., & Levine, M. (2015) · eLife · doi:10.7554/elife.07956 · Cited by 192
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Metadata
- Authors
- Little, S. C., Tikhonov, M., & Gregor, T.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2013-08
- Volume
- 154
- Issue
- 4
- Pages
- 789-800
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2065923714
- Cited by
- 278
- References
- 10
- FWCI
- 11.03
- Type
- journal article
- Language
- en
- Open access
- bronze
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