A matter of time: Using dynamics and theory to uncover mechanisms of transcriptional bursting
Open accessAbstract
Eukaryotic transcription generally occurs in bursts of activity lasting minutes to hours; however, state-of-the-art measurements have revealed that many of the molecular processes that underlie bursting, such as transcription factor binding to DNA, unfold on timescales of seconds. This temporal disconnect lies at the heart of a broader challenge in physical biology of predicting transcriptional outcomes and cellular decision-making from the dynamics of underlying molecular processes. Here, we review how new dynamical information about the processes underlying transcriptional control can be combined with theoretical models that predict not only averaged transcriptional dynamics, but also their variability, to formulate testable hypotheses about the molecular mechanisms underlying transcriptional bursting and control.
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The interplay between the timescales of enhancer-promoter interactions and regulatory/promoter processes might generate nonlinear effects.
“We reasoned that the interplay between the timescales of these processes might generate nonlinear effects, as was recently hypothesized to explain promoter bursting44.”
From Nonlinear control of transcription through enhancer–promoter interactions (2022) · cites this paper as [44]
In “Bridging the timescale gap: kinetic traps and rate-limiting steps” (page not provided), the paper models how rapid activator-binding dynamics can produce slow, all-or-nothing transcriptional fluctuations, and it identifies enhancer–promoter co-localization as a possible rate-limiting step. It does not specifically hypothesize that an interplay between the timescales of enhancer–promoter interactions and promoter processes generates nonlinear effects. (LLM, conf=0.78)
Experimental — accuracy not yet measuredEnhancer strength modulates the ability of the promoter to turn on.
“This further strengthens our interpretation that enhancer strength modulates the ability of the promoter to turn on, possibly by regulating chromatin state, transcription factor binding or RNA polymerase II dynamics at the promoter35,44 .”
From Nonlinear control of transcription through enhancer–promoter interactions (2022) · cites this paper as [44]
In “The two-state model: a simple quantitative framework for bursting dynamics” (page unavailable), the paper says activators commonly tune kon, the rate at which a promoter enters its ON state. In “Bridging the timescale gap” (page unavailable), it models activator binding at an enhancer as affecting transcription. These passages support a link between enhancer activity and promoter activation, but do not specifically establish that differences in enhancer strength modulate the promoter’s ability to turn on. (LLM, conf=0.81)
Experimental — accuracy not yet measured
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Percentages, sums and reported differences re-computed from the paper’s own numbers.
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BackgroundReal-Time Observation of Transcription Initiation and Elongation on an Endogenous Yeast Gene
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Kinetics of Core Histones in Living Human Cells
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MethodIn vivo dynamics of RNA polymerase II transcription
Darzacq, X., Shav-Tal, Y., de Turris, V., Brody, Y., Shenoy, S. M., Phair, R. D., & Singer, R. H. (2007) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1280 · Cited by 665 · cited 1× · see citing works
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MethodDynamic binding of histone H1 to chromatin in living cells
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MethodDevelopmental enhancers and chromosome topology
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“often separated by kbp to even Mbp. The mechanism by which enhancers nd their target loci from such a large distance, and how this contact triggers transcription, remain uncertain and are reviewed in [95]. In vivo measurements of enhancer-promoter separation in the Drosophila embryo have shown that this distance uctua…”
BackgroundCTCF and cohesin regulate chromatin loop stability with distinct dynamics
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MethodInfluentialSingle-Molecule Dynamics of Enhanceosome Assembly in Embryonic Stem Cells
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“lation half-life) [78] 19 Transcription Factor Binding Bicoid Drosophila embryo SMT ˘2s [46] Bicoid Drosophila embryo SMT ˘1s [45] Zelda Drosophila embryo SMT ˘5s [46] Sox2 Mammalian cell SMT ˘12-15s [84] p53 Mammalian cell SMT ˘3.5s [85] p53 Mammalian cell SMT, FRAP, FCS ˘1.8s [87] Glucocorticoid receptor Mammalian c…”
BackgroundJonkers, I., Kwak, H., & Lis, J. T. (2014) · eLife · doi:10.7554/elife.02407 · Cited by 581 · cited 2× · see citing works
“Live imaging and genome-wide studies have shown that RNAP pausing before initiation is common in eukaryotes [102–105] and that its half-life of up to 20 min can be consistent with transcriptional bursting [106–113].”
BackgroundSingle-molecule imaging of transcription factor binding to DNA in live mammalian cells
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Genome-wide kinetics of nucleosome turnover determined by metabolic labeling of histones
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BackgroundReal-Time Dynamics of RNA Polymerase II Clustering in Live Human Cells
Cissé, I. I., Izeddin, I., Causse, S., Boudarène, L., Senecal, A., Mureşan, L., Dugast‐Darzacq, C., Hajj, B., Dahan, M., & Darzacq, X. (2013) · Science · doi:10.1126/science.1239053 · Cited by 489 · cited 1× · see citing works
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MethodDynamic interplay between enhancer–promoter topology and gene activity
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MethodPost-Translational Modifications of Histones That Influence Nucleosome Dynamics
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“The promoter stochastically switches between these states with rates kon and koff , and loads new RNA polymerase II (RNAP) molecules at a rate r when in the ON state [22, 29–31].”
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Mechanism of Transcriptional Bursting in Bacteria
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Dynamics of epigenetic regulation at the single-cell level
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“[72] Histone Modication dCas9 inducible recruitment Mammalian cell Single-cell imaging several hours to days [82] rTetR inducible recruitment Mammalian cell Single-cell imaging several hours to days [81] Chemical-mediated recruitment Mammalian cell Chromatin in vivo assay several days [83] Histone H3 Human cell Liquid…”
MethodSingle molecule fluorescent in situ hybridization (smFISH) of C. elegans worms and embryos.
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BackgroundWidespread transcriptional pausing and elongation control at enhancers
Henriques, T., Scruggs, B. S., Inouye, M. O., Muse, G. W., Williams, L. H., Burkholder, A. B., Lavender, C. A., Fargo, D. C., & Adelman, K. (2018) · Genes & Development · doi:10.1101/gad.309351.117 · Cited by 350 · cited 1× · see citing works
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MethodInfluentialApplication of the Theory of Diffusion-controlled Reactions to Enzyme Kinetics
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Decreased Enhancer-Promoter Proximity Accompanying Enhancer Activation
Benabdallah, N. S., Williamson, I., Illingworth, R. S., Kane, L., Boyle, S., Sengupta, D., Grimes, G. R., Therizols, P., & Bickmore, W. A. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.07.038 · Cited by 335 · cited 1× · see citing works
“However, recent work has cast doubt on the simple “lock and key” model of enhancer association (stable, direct contact between enhancers and promoters triggers transcription), suggesting instead that enhancers may activate cognate loci from afar and, in some cases, may activate multiple target loci simultaneously [32,…”
BackgroundEukaryotic transcriptional dynamics: from single molecules to cell populations
Coulon, A., Chow, C. C., Singer, R. H., & Larson, D. R. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3484 · Cited by 309 · cited 1× · see citing works
“Transcription factor binding recruits co-factors and general transcription factors to the promoter, triggering the biochemical cascade that ultimately initiates transcription [20].”
BackgroundA benchmark for chromatin binding measurements in live cells
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“5-15 s [45, 46, 84–89].”
A single-molecule view of transcription reveals convoys of RNA polymerases and multi-scale bursting
Tantale, K., Mueller, F., Kozulic-Pirher, A., Lesne, A., Victor, J., Robert, M.-C., Capozi, S., Chouaib, R., Baecker, V., Langerak, J. M., et al. (2016) · Nature Communications · doi:10.1038/ncomms12248 · Cited by 286 · cited 2× · see citing works
“MS2 few minutes [11] C. elegans Notch signaling MS2 10-70 minutes [17] Human, Mouse TGF-signaling luciferase assay few hours [114] TFF-1 signaling MS2 few hours [18] HIV-1 viral gene MS2 few minutes [115] liver genes smFISH T ON ˇ 30 minutes - 2 hours [116] mammalian genes luciferase assay few hours [19] Amoeba actin…”
BackgroundMethodRNA Polymerase II cluster dynamics predict mRNA output in living cells
Cho, W., Jayanth, N., English, B. P., Inoue, T., Andrews, J. O., Conway, W., Grimm, J. B., Spille, J.-H., Lavis, L. D., Lionnet, T., et al. (2016) · eLife · doi:10.7554/elife.13617 · Cited by 280 · cited 1× · see citing works
“o MS2 labeling ˘6s [119] RNAP Cluster Dynamics RNAP tagged with Dendra2 Mammalian cell tcPALM ˘12.9s (with small fraction of stable clusters) [92] RNAP tagged with Dendra2 Mammalian cell tcPALM ˘8.1s [91] RNAP tagged with Dendra2 Human cell Bayesian nanoscopy several seconds [94] 20 RNAP tagged with Dendra2 Human cell…”
MethodIntrinsic Dynamics of a Human Gene Reveal the Basis of Expression Heterogeneity
Rodriguez, J., Ren, G., Day, C. R., Zhao, K., Chow, C. C., & Larson, D. R. (2018) · Cell · doi:10.1016/j.cell.2018.11.026 · Cited by 267 · cited 2× · see citing works
“1, despite qualitatively similar bursty traces from different organisms, bursts unfold across markedly distinct timescales ranging from several minutes [15, 16], to tens of minutes [17, 18], all the way to multiple hours [19].”
BackgroundIn Vivo Residue-specific Histone Methylation Dynamics*
Zee, B. M., Levin, R. S., Xu, B., Leroy, G., Wingreen, N., & Garcia, B. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.063784 · Cited by 262 · cited 2× · see citing works
“Further, histone modifications may modulate nucleosomal occupancy [65, 75, 76], and the half-life as well as addition of these modifications can also span a broad range of timescales compatible with bursting, from several minutes to days [77–83].”
BackgroundSWI/SNF unwraps, slides, and rewraps the nucleosome.
Kassabov, S. R., Zhang, B., Persinger, J., & Bartholomew, B. (2003) · Molecules and Cells · doi:10.1016/s1097-2765(03)00039-x · Cited by 261 · cited 1× · see citing works
“nwrapping Mononucleosomes In vitro reconstitution FRET 0.1-5s [69] Mononucleosomes In vitro reconstitution FRET 10-250ms [68] Mononucleosomes In vitro reconstitution Photochemical crosslinking <1s [67] Nucleosome Turnover Histone H3.3 Drosophila cell Genome-wide proling 1-1.5h [70] Histone H3 Yeast Genomic tiling a…”
InfluentialStructural basis for the coevolution of a viral RNA–protein complex
Chao, J., Patskovsky, Y., Almo, S., & Singer, R. (2008) · Nature Structural &Molecular Biology · doi:10.1038/nsmb1327 · Cited by 251 · cited 1× · see citing works
“These fixedtissue inferences have been confirmed with new in vivo RNA fluorescence labeling technologies such as the MS2/MCP [6] and PP7/PCP systems [7], which directly reveal stochastic bursts of transcriptional activity in living cells in culture and within animals (Figure 1AeC) [8e11].”
BackgroundGenome-wide Single-Molecule Footprinting Reveals High RNA Polymerase II Turnover at Paused Promoters
Krebs, A. R., Imanci, D., Hoerner, L., Gaidatzis, D., Burger, L., & Schübeler, D. (2017) · Molecular Cell · doi:10.1016/j.molcel.2017.06.027 · Cited by 249 · cited 1× · see citing works
“6] RNAP (genome-wide) Drosophila cell RNA sequencing ˘2-20min [107] RNAP (genome-wide) Drosophila cell ChIP-nexus ˘5-20min [108] RNAP (genome-wide) Drosophila cell Genome-wide footprinting ˘2.5-20min [109] RNAP tagged with GFP Intact Drosophila salivary glands ˘5min [110] RNAP (genome-wide) Mammalian cell GRO-seq ˘6.9…”
BackgroundInfluentialBursty Gene Expression in the Intact Mammalian Liver
Halpern, K. B., Tanami, S., Landen, S., Chapal, M., Szlak, L., Hutzler, A., Nizhberg, A., & Itzkovitz, S. (2015) · Molecular Cell · doi:10.1016/j.molcel.2015.01.027 · Cited by 248 · cited 1× · see citing works
“liver genes smFISH TON ≈ 30 minutes - 2 hours [116]”
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“even-skipped stripe 2 MS2 few minutes [11]”
BackgroundSelf-citationPaused RNA polymerase II inhibits new transcriptional initiation
Shao, W.-Q., & Zeitlinger, J. (2017) · Nature Genetics · doi:10.1038/ng.3867 · Cited by 240 · cited 2× · see citing works
“Live imaging and genome-wide studies have shown that RNAP pausing before initiation is common in eukaryotes [102–105] and that its half-life of up to 20 min can be consistent with transcriptional bursting [106–113].”
BackgroundHenriques, T., Gilchrist, D. A., Nechaev, S., Bern, M., Muse, G. W., Burkholder, A., Fargo, D. C., & Adelman, K. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.10.001 · Cited by 240 · cited 2× · see citing works
“Live imaging and genome-wide studies have shown that RNAP pausing before initiation is common in eukaryotes [102–105] and that its half-life of up to 20 min can be consistent with transcriptional bursting [106–113].”
BackgroundKatan-Khaykovich, Y., & Struhl, K. (2002) · Genes & Development · doi:10.1101/gad.967302 · Cited by 236 · cited 1× · see citing works
“ethyl-SILAC labeling several hours to days (half-maximal time of methylation) [80] Targeted recruitment Yeast ChIP 5-8min (reversal of targeted deacetylation) 1.5min(reversal of targeted acetylation) [79] Histone H2a, H2b, H3, and H4 Mammalian cell Isotope labeling <15min (acetylation half-life) [77] Histone H2, H2…”
BackgroundTranscription in Living Cells: Molecular Mechanisms of Bursting
Rodriguez, J., & Larson, D. R. (2020) · Annual Review of Biochemistry · doi:10.1146/annurev-biochem-011520-105250 · Cited by 224 · see citing works
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“Live imaging and genome-wide studies have shown that RNAP pausing before initiation is common in eukaryotes [102–105] and that its half-life of up to 20 min can be consistent with transcriptional bursting [106–113].”
BackgroundLive‐cell imaging reveals the interplay between transcription factors, nucleosomes, and bursting
Donovan, B. T., Huynh, A., Ball, D. A., Patel, H., Poirier, M. G., Larson, D. R., Ferguson, M., & Lenstra, T. L. (2019) · The EMBO Journal · doi:10.15252/embj.2018100809 · Cited by 195 · see citing works
Dense Bicoid hubs accentuate binding along the morphogen gradient
Mir, M., Reimer, A., Haines, J. E., Li, X.-Y., Stadler, M., Garcia, H., Eisen, M. B., & Darzacq, X. (2017) · Genes & Development · doi:10.1101/gad.305078.117 · Cited by 192 · cited 3× · see citing works
“5 s−1 to ensure consistency with recent experimental measurements of Bicoid in [45, 46].”
BackgroundMethodInfluentialTranscription Dynamics in Living Cells
Lenstra, T. L., Rodriguez, J., Chen, H., & Larson, D. R. (2016) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-062215-010838 · Cited by 179 · cited 1× · see citing works
“Throughout this Review, we focus on illustrative recent experimental and theoretical efforts; we therefore do not attempt to provide a comprehensive review of the current literature (see [20–25] for excellent reviews).”
BackgroundInformation integration and energy expenditure in gene regulation
Estrada, J., Wong, F., DePace, A. H., & Gunawardena, J. (2016) · Cell · doi:10.1016/j.cell.2016.06.012 · Cited by 168 · cited 1× · see citing works
“To gain insight into the model’s transcriptional dynamics, we employ stochastic simulations based on the Gillespie Algorithm [47]; however a variety of alternative analytic and numerical approaches exist [40, 41, 44].”
MethodSingle molecule analysis of transcription factor binding at transcription sites in live cells
Morisaki, T., Müller, W., Golob, N., Mazza, D., & McNally, J. (2014) · Nature Communications · doi:10.1038/ncomms5456 · Cited by 167 · see citing works
A continuum model of transcriptional bursting
Corrigan, A. M., Tunnacliffe, E., Cannon, D., & Chubb, J. R. (2016) · eLife · doi:10.7554/elife.13051 · Cited by 165 · cited 2× · see citing works
“actin gene family MS2 10-15 minutes [26]”
BackgroundVisualization of Transvection in Living Drosophila Embryos
Lim, B., Heist, T., Levine, M., & Fukaya, T. (2018) · Molecules and Cells · doi:10.1016/j.molcel.2018.02.029 · Cited by 160 · cited 3× · see citing works
“In vivo measurements of enhancer-promoter separation in the Drosophila embryo have shown that this distance fluctuates with a timescale of tens of seconds to several minutes [96–98] —timescales strikingly similar to those of bursting.”
BackgroundRapid and reversible epigenome editing by endogenous chromatin regulators
Braun, S. M. G., Kirkland, J. G., Chory, E. J., Husmann, D., Calarco, J. P., & Crabtree, G. R. (2017) · Nature Communications · doi:10.1038/s41467-017-00644-y · Cited by 158 · cited 2× · see citing works
“Further, histone modifications may modulate nucleosomal occupancy [65, 75, 76], and the half-life as well as addition of these modifications can also span a broad range of timescales compatible with bursting, from several minutes to days [77–83].”
BackgroundMethodDufourt, J., Trullo, A., Hunter, J., Fernandez, C., Lazaro, J., Dejean, M., Morales, L., Nait-Amer, S., Schulz, K. N., Harrison, M. M., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-07613-z · Cited by 150 · see citing works
Effect of Promoter Architecture on the Cell-to-Cell Variability in Gene Expression
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Self-citationStimulus-induced modulation of transcriptional bursting in a single mammalian gene
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“TGF-β signaling luciferase assay few hours [114]”
Diverse Spatial Expression Patterns Emerge from Unified Kinetics of Transcriptional Bursting
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“gap genes: hunchback, giant, Krüpple, knirps smFISH TON ≈ 3 minutes, TOFF ≈ 6 minutes [33]”
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“Live imaging and genome-wide studies have shown that RNAP pausing before initiation is common in eukaryotes [102–105] and that its half-life of up to 20 min can be consistent with transcriptional bursting [106–113].”
BackgroundStudies on highly metabolically active acetylation and phosphorylation of histones.
Jackson, V., Shires, A., Chalkley, R., & Granner, D. (1975) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)41247-7 · Cited by 130 · cited 1× · see citing works
“ylation) [79] Histone H2a, H2b, H3, and H4 Mammalian cell Isotope labeling <15min (acetylation half-life) [77] Histone H2, H2a and H2b Mammalian cell Isotope labeling ˘3min (acetylation half-life) [78] 19 Transcription Factor Binding Bicoid Drosophila embryo SMT ˘2s [46] Bicoid Drosophila embryo SMT ˘1s [45] Zelda…”
MethodStatistical kinetics of processive enzymes.Preprint
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RNA polymerase II pausing during development
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“Live imaging and genome-wide studies have shown that RNAP pausing before initiation is common in eukaryotes [102–105] and that its half-life of up to 20 min can be consistent with transcriptional bursting [106–113].”
BackgroundStructure of silent transcription intervals and noise characteristics of mammalian genes
Zoller, B., Nicolas, D., Molina, N., & Naef, F. (2015) · Molecular Systems Biology · doi:10.15252/msb.20156257 · Cited by 115 · cited 1× · see citing works
“Other techniques, such as measuring the short-lived luminescent signal from reporters [27], have also successfully estimated first-passage times.”
BackgroundPost-replicative nonribosomal transcription units in D. melanogaster embryos.
Miller, O. L., & McKnight, S. (1979) · Cell · doi:10.1016/0092-8674(79)90263-0 · Cited by 115 · cited 1× · see citing works
“eley, Berkeley, California arXiv:2008.09225v1 [q-bio.SC] 20 Aug 2020 tional activity interspersed with periods of quiescence. Although electron microscopy provided early hints of bursty transcription [1], the advent of single-molecule uorescence in situ hybridization (smFISH) [2, 3], was key to establishing its centra…”
BackgroundCOMBINING PROTEIN AND mRNA QUANTIFICATION TO DECIPHER TRANSCRIPTIONAL REGULATION
Xu, H., Sepúlveda, L. A., Figard, L., Sokac, A., & Golding, I. (2015) · Nature Methods · doi:10.1038/nmeth.3446 · Cited by 109 · cited 1× · see citing works
“The single-cell distributions of nascent RNA and cytoplasmic mRNA molecules obtained using this technology provided compelling, if indirect, evidence for the existence and ubiquity of gene expression bursts, and indicated that their dynamics were subject to regulation by transcription factors [4,5].”
BackgroundEnhancer Priming Enables Fast and Sustained Transcriptional Responses to Notch Signaling
Sanjuan, J. F., Lammers, N. C., García, H. G., & Bray, S. J. (2019) · Developmental Cell · doi:10.1016/j.devcel.2019.07.002 · Cited by 108 · see citing works
Self-citationWhat shapes eukaryotic transcriptional bursting?
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Statistical Mechanics of Monod–Wyman–Changeux (MWC) Models
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Self-citationA stable mode of bookmarking by TBP recruits RNA polymerase II to mitotic chromosomes
Teves, S. S., An, L.-Y., Bhargava-Shah, A., Xie, L.-Q., Darzacq, X., & Tjian, R. (2018) · bioRxiv · doi:10.1101/257451 · Cited by 104 · cited 2×
“SMT ˘8.1s [85] Glucocorticoid receptor Mammalian cell SMT ˘1.45s [86] STAT1 Mammalian cell SMT ˘0.5s [88] TFIIB In vitro reconstitution SMT ˘1.5s [89] TATA-binding protein Mammalian cell SMT 1.5-2min [90] Chromatin Protein Binding CTCF Mammalian cell SMT ˘1-2min [118] Cohesin Mammalian cell SMT ˘22min [118] Enhancer-P…”
BackgroundMethodInfluentialThe simplicity of completion time distributions for common complex biochemical processes
Bel, G., Munsky, B., & Nemenman, I. (2009) · Physical Biology · doi:10.1088/1478-3975/7/1/016003 · Cited by 103 · see citing works
Munsky, B., Fox, Z., & Neuert, G. (2015) · Methods · doi:10.1016/j.ymeth.2015.06.009 · Cited by 89 · see citing works
Large distances separate coregulated genes in living <i>Drosophila</i> embryos
Heist, T., Fukaya, T., & Levine, M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1908962116 · Cited by 89 · cited 2× · see citing works
“In vivo measurements of enhancer-promoter separation in the Drosophila embryo have shown that this distance fluctuates with a timescale of tens of seconds to several minutes [96–98] —timescales strikingly similar to those of bursting.”
BackgroundDynamics of Notch-Dependent Transcriptional Bursting in its Native Context
Lee, C., Shin, H., & Kimble, J. (2018) · bioRxiv · doi:10.1101/496638 · Cited by 87 · cited 3×
“1, despite qualitatively similar bursty traces from different organisms, bursts unfold across markedly distinct timescales ranging from several minutes [15, 16], to tens of minutes [17, 18], all the way to multiple hours [19].”
BackgroundMultimodal transcriptional control of pattern formation in embryonic development
Lammers, N. C., Galstyan, V., Reimer, A., Medin, S. A., Wiggins, C., & Garcia, H. G. (2019) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1912500117 · Cited by 85 · cited 7× · see citing works
“A single transcriptional burst generally consists of multiple RNAP initiation events (∼10-100 at a rate of 1/6-1/3 s when the promoter is ON in Drosophila, for instance) [11, 16].”
BackgroundInfluentialSelf-citationCombinatorial Gene Regulation through Kinetic Control of the Transcription Cycle
Scholes, C., DePace, A. H., & Sánchez, Á. (2016) · Cell Systems · doi:10.1016/j.cels.2016.11.012 · Cited by 85 · see citing works
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“1-5 s [69]”
Frequency Modulation of Transcriptional Bursting Enables Sensitive and Rapid Gene Regulation
Li, C., Cesbron, F., Oehler, M., Brunner, M., & Höfer, T. (2018) · Cell Systems · doi:10.1016/j.cels.2018.01.012 · Cited by 75 · see citing works
Activated STAT1 transcription factors conduct distinct saltatory movements in the cell nucleus.
Speil, J., Baumgart, E., Siebrasse, J., Veith, R., Vinkemeier, U., & Kubitscheck, U. (2011) · Biophysical Journal · doi:10.1016/j.bpj.2011.10.006 · Cited by 69 · cited 1× · see citing works
“SMT ˘3.5s [85] p53 Mammalian cell SMT, FRAP, FCS ˘1.8s [87] Glucocorticoid receptor Mammalian cell SMT ˘8.1s [85] Glucocorticoid receptor Mammalian cell SMT ˘1.45s [86] STAT1 Mammalian cell SMT ˘0.5s [88] TFIIB In vitro reconstitution SMT ˘1.5s [89] TATA-binding protein Mammalian cell SMT 1.5-2min [90] Chromatin Prote…”
BackgroundInfluentialPark, J., Estrada, J., Johnson, G. L., Vincent, B. J., Ricci-Tam, C., Bragdon, M. D. J., Shulgina, Y., Cha, A., Wunderlich, Z., Gunawardena, J., et al. (2018) · bioRxiv · doi:10.7554/elife.41266 · Cited by 68 · cited 1× · see citing works
“We illustrate how these kinetic models can shed light on the disconnect between the timescales of transcription factor binding and bursting using the activation of the hunchback minimal enhancer by Bicoid in the early fruit fly embryo as a case study [34, 38, 41–44].”
MethodZhang, Z., English, B. P., Grimm, J. B., Kazane, S. A., Hu, W., Tsai, A., Inouye, C. J., You, C., Piehler, J., Schultz, P. G., et al. (2016) · Genes & Development · doi:10.1101/gad.285395.116 · Cited by 67 · cited 1× · see citing works
“FCS ˘1.8s [87] Glucocorticoid receptor Mammalian cell SMT ˘8.1s [85] Glucocorticoid receptor Mammalian cell SMT ˘1.45s [86] STAT1 Mammalian cell SMT ˘0.5s [88] TFIIB In vitro reconstitution SMT ˘1.5s [89] TATA-binding protein Mammalian cell SMT 1.5-2min [90] Chromatin Protein Binding CTCF Mammalian cell SMT ˘1-2min [1…”
InfluentialGene Regulation in and out of Equilibrium
Wong, F. J., & Gunawardena, J. (2020) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-121219-081542 · Cited by 65 · see citing works
Kinetic sculpting of the seven stripes of the Drosophila even-skipped gene
Berrocal, A., Lammers, N. C., García, H. G., & Eisen, M. B. (2020) · eLife · doi:10.7554/elife.61635 · Cited by 62 · cited 1× · see citing works
“1, despite qualitatively similar bursty traces from different organisms, bursts unfold across markedly distinct timescales ranging from several minutes [15, 16], to tens of minutes [17, 18], all the way to multiple hours [19].”
BackgroundSelf-citationModel Selection in Systems Biology Depends on Experimental Design
Silk, D., Kirk, P. D. W., Barnes, C., Toni, T., & Stumpf, M. (2014) · PLoS Comput. Biol. · doi:10.1371/journal.pcbi.1003650 · Cited by 61 · see citing works
Kinetics of promoter Pol II on Hsp70 reveal stable pausing and key insights into its regulationPreprint
Buckley, M. S., Kwak, H., Zipfel, W. R., & Lis, J. T. (2014) · Genes & Development · doi:10.1101/gad.231886.113 · Cited by 58 · see citing works
Figure 1 Theory Meets Figure 2 Experiments in the Study of Gene Expression
Phillips, R., Belliveau, N. M., Chure, G., Garcia, H. G., Razo-Mejia, M., & Scholes, C. (2018) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-052118-115525 · Cited by 54 · cited 1× · see citing works
“Throughout this Review, we focus on illustrative recent experimental and theoretical efforts; we therefore do not attempt to provide a comprehensive review of the current literature (see [20–25] for excellent reviews).”
BackgroundSelf-citationMapping chromatin modifications at the single cell level
Ludwig, C., & Bintu, L. (2019) · Development · doi:10.1242/dev.170217 · Cited by 53 · cited 1× · see citing works
“Further, histone modifications may modulate nucleosomal occupancy [65, 75, 76], and the half-life as well as addition of these modifications can also span a broad range of timescales compatible with bursting, from several minutes to days [77–83].”
BackgroundDesponds, J., Tran, H., Ferraro, T., Lucas, T., Perez-Romero, C. A., Guillou, A., Fradin, C., Coppey, M., Dostatni, N., & Walczak, A. M. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005256 · Cited by 52 · see citing works
Eck, E., Liu, J., Kazemzadeh-Atoufi, M., Ghoreishi, S., Blythe, S. A., & Garcia, H. G. (2020) · bioRxiv · doi:10.1101/2020.01.27.922054 · Cited by 50
Self-citationPromoter-mediated diversification of transcriptional bursting dynamics following gene duplication
Tunnacliffe, E. A. J., Corrigan, A. M., & Chubb, J. R. (2018) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1800943115 · Cited by 49 · see citing works
Gene transcription in bursting: a unified mode for realizing accuracy and stochasticity
Wang, Y., Ni, T., Wang, W., & Liu, F. (2018) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/brv.12452 · Cited by 49 · cited 2× · see citing works
“Throughout this Review, we focus on illustrative recent experimental and theoretical efforts; we therefore do not attempt to provide a comprehensive review of the current literature (see [20–25] for excellent reviews).”
BackgroundRapid turnover of acetyl groups in the four core histones of simian virus 40 minichromosomes.
Chestier, A., & Yaniv, M. (1979) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.76.1.46 · Cited by 47 · cited 1× · see citing works
“ent Yeast ChIP 5-8min (reversal of targeted deacetylation) 1.5min(reversal of targeted acetylation) [79] Histone H2a, H2b, H3, and H4 Mammalian cell Isotope labeling <15min (acetylation half-life) [77] Histone H2, H2a and H2b Mammalian cell Isotope labeling ˘3min (acetylation half-life) [78] 19 Transcription Factor…”
BackgroundOrigins and consequences of transcriptional discontinuity
Suter, D. M., Molina, N., Naef, F., & Schibler, U. (2011) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2011.09.004 · Cited by 43 · see citing works
Study of RNA Polymerase II Clustering inside Live-Cell Nuclei Using Bayesian Nanoscopy.
Chen, X.-Z., Wei, M., Zheng, M. M., Zhao, J., Hao, H.-W., Chang, L., Xi, P., & Sun, Y.-J. (2016) · ACS Nano · doi:10.1021/acsnano.5b07257 · Cited by 41 · cited 2×
“lifetimes in mammalian nuclei of 5-13 s 10 s, respectively [91–94].”
BackgroundMethodSelf-citationWaterborg, J. H. (1993) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)53482-7 · Cited by 41 · cited 1× · see citing works
“one H2B, H3, and H4 tagged with GFP Human cell FRAP several minutes [74] Histone H1 tagged with GFP Human cell FRAP several minutes [73] Histone H3 Plant cell (Alfalfa) Isotope labeling several hours [72] Histone Modication dCas9 inducible recruitment Mammalian cell Single-cell imaging several hours to days [82] rTetR…”
MethodDesponds, J., Vergassola, M., & Walczak, A. M. (2020) · eLife · doi:10.7554/elife.49758 · Cited by 39 · see citing works
Tran, H., Desponds, J., Perez-Romero, C. A., Coppey, M., Fradin, C., Dostatni, N., & Walczak, A. M. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006513 · Cited by 30 · cited 2× · see citing works
“facilitate important behaviors such as combinatorial regulatory logic, sensitivity to changes in transcription factor concentrations, the specificity of interactions between transcription factors and their targets, and transcriptional noise reduction [13, 14, 38–41].”
BackgroundMethodNucleosomal proofreading of activator–promoter interactions
Shelansky, R., & Boeger, H. (2020) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1911188117 · Cited by 25 · cited 1× · see citing works
“Alternatively, bursting may not itself be functional, but might instead be a consequence of key underlying transcriptional processes, such as proofreading transcription factor identity [13, 14].”
BackgroundProbing mechanisms of transcription elongation through cell-to-cell variability of RNA polymerase
Ali, M. Z., Choubey, S., Das, D., & Brewster, R. (2019) · bioRxiv · doi:10.1101/655712 · Cited by 16
From Structural Variation of Gene Molecules to Chromatin Dynamics and Transcriptional Bursting
Boeger, H., Shelansky, R. I., Patel, H., & Brown, C. R. (2015) · Genes · doi:10.3390/genes6030469 · Cited by 12 · see citing works
Addressing the Need for a Model Selection Framework in Systems Biology Using Information Theory
DeVilbiss, F., & Ramkrishna, D. (2017) · Proceedings of the IEEE · doi:10.1109/jproc.2016.2560121 · Cited by 5 · cited 1× · see citing works
“A discussion of this and other approaches falls beyond the scope of this work, but we direct the reader to several excellent introductions to elements of this field [61–64].”
BackgroundNormative models of enhancer functionPreprint
Grah, R., Zoller, B., & Tkačik, G. (2020) · bioRxiv · doi:10.1101/2020.04.08.029405 · Cited by 4 · cited 1× · see citing works
“Alternatively, bursting may not itself be functional, but might instead be a consequence of key underlying transcriptional processes, such as proofreading transcription factor identity [13, 14].”
BackgroundAbortive Initiation as a Bottleneck for Transcription in the Early Drosophila EmbryoPreprint
Serov, A., Levine, A., & Mani, M. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1701.06079 · Cited by 3 · cited 1× · see citing works
“control of transcriptional initiation [56] and elongation [57, 58], measure translational dynamics [59], and even count molecules [60].”
BackgroundGenes and signals: Ptashne, M., Gann, A.
Uzman, A. (2002) · doi:10.1002/bmb.2002.494030059994 · Cited by 2
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Nonlinear control of transcription through enhancer–promoter interactions
Zuin, J., Roth, G., Zhan, Y., Cramard, J., Redolfi, J., Piskadlo, E., Mach, P., Kryzhanovska, M., Tihanyi, G., Kohler, H., et al. (2022) · Nature · doi:10.1038/s41586-022-04570-y · Cited by 415 · see citing works
Enhancer selectivity in space and time: from enhancer–promoter interactions to promoter activation
Yang, J. H., & Hansen, A. S. (2024) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-024-00710-6 · Cited by 191 · see citing works
“P interaction models, the residence time of most transcription factors in mammals is typically on the order of seconds to tens of seconds, which is much shorter than the duration of a typical transcription burst of minutes to tens of minutes 77–86 .”
Pimmett, V. L., Dejean, M., Fernandez, C., Trullo, A., Bertrand, E., Radulescu, O., & Lagha, M. (2021) · Nature Communications · doi:10.1038/s41467-021-24461-6 · Cited by 88 · see citing works
Transcription factor exchange enables prolonged transcriptional bursts
Pomp, W., Meeussen, J. V., & Lenstra, T. (2023) · bioRxiv · doi:10.1101/2023.05.15.540758 · Cited by 72
“9,37 Because many TFs show cooperative binding 38 and many promoters and enhancers contain multiple TF binding sites, cooperative binding and exchange of TFs may turn out to be a general kinetic mode to bridge the timescale gap between short dwell times of DNA-bound factors and longer transcription…”
BackgroundMethodInfluentialTime will tell: comparing timescales to gain insight into transcriptional bursting
Meeussen, J. V., & Lenstra, T. (2024) · Trends in Genetics · doi:10.1016/j.tig.2023.11.003 · Cited by 69 · see citing works
Following the tracks: How transcription factor binding dynamics control transcription
de Jonge, W. D., Patel, H. P., Meeussen, J. V., & Lenstra, T. (2022) · Biophysical Journal · doi:10.1016/j.bpj.2022.03.026 · Cited by 54 · see citing works
“One of the outstanding questions in the field is how these transient binding events regulate transcription (14,85).”
BackgroundTranscription factor binding kinetics and transcriptional bursting: What do we really know?
Mazzocca, M., Colombo, E., Callegari, A., & Mazza, D. (2021) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2021.08.002 · Cited by 49 · see citing works
Allosteric conformational ensembles have unlimited capacity for integrating information
Biddle, J. W., Martinez-Corral, R., Wong, F., & Gunawardena, J. (2021) · eLife · doi:10.7554/elife.65498 · Cited by 41 · see citing works
Transcriptional bursting: stochasticity in deterministic development
Porello, E. A. L., Trudeau, R. T., & Lim, B. (2023) · Development · doi:10.1242/dev.201546 · Cited by 43 · see citing works
Allosteric conformational ensembles have unlimited capacity for integrating information
Biddle, J., Martinez-Corral, R., Wong, F., & Gunawardena, J. (2020) · bioRxiv · doi:10.1101/2020.12.10.420117 · Cited by 31
Holimap: an accurate and efficient method for solving stochastic gene network dynamics
Jia, C., & Grima, R. (2024) · bioRxiv · doi:10.1038/s41467-024-50716-z · Cited by 27 · see citing works
“Thus far, we have considered regulatory networks where each gene is regulated by one TF; however, many genes are regulated by a multitude of TFs which are often shared between multiple genes 48 .”
Douaihy, M., Topno, R., Lagha, M., Bertrand, É., & Radulescu, O. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad629 · Cited by 24 · see citing works
Luo, S., Zhang, Z., Wang, Z., Yang, X., Chen, X., Zhou, T., & Zhang, J. (2023) · Royal Society Open Science · doi:10.1098/rsos.221057 · Cited by 35 · see citing works
deHaro-Arbona, F. J., Roussos, C., Baloul, S., Townson, J., Lamarca, M. J. G., & Bray, S. (2024) · bioRxiv · doi:10.7554/elife.92083 · Cited by 22 · see citing works
“At the same time, the live traces reveal that the transcription in the ON cells is dynamic, in keeping with frequent fluctuations in promoter states producing ‘bursts’ ( Lammers et al., 2020 ; Meeussen and Lenstra, 2024 ).”
BackgroundTranscriptional bursting dynamics in gene expression
Zhang, Q., Cao, W., Wang, J., Yin, Y., Sun, R., Tian, Z., Hu, Y., Tan, Y., & Zhang, B. (2024) · Frontiers in Genetics · doi:10.3389/fgene.2024.1451461 · Cited by 18 · see citing works
“It does not require specifying the molecular identity of the burst parameters (Lammers et al., 2020).”
BackgroundCompeting constraints shape the nonequilibrium limits of cellular decision-making
Lammers, N. C., Flamholz, A. I., & García, H. G. (2022) · bioRxiv · doi:10.1101/2022.07.01.498451 · Cited by 19
“…is highly stochastic, occurring in episodic bursts (Bothma et al., 2014; Tantale et al., 2016; Nicolas et al., 2017; Lionnet and Wu, 2021)—periods of activity interspersed with periods of transcriptional silence—that unfold over timescales ranging from minutes to hours (Lammers et al., 2020).”
BackgroundMethodResultInfluentialSelf-citationUnderstanding transcription across scales: From base pairs to chromosomes
Vos, S. M. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.03.002 · Cited by 16 · see citing works
Power-law behavior of transcriptional bursting regulated by enhancer–promoter communicationPreprint
Wang, Z., Zhang, Z., Luo, S., Zhou, T., & Zhang, J. (2024) · Genome Research · doi:10.1101/gr.278631.123 · Cited by 28 · see citing works
“…coordinates do not alter gene state, implying that the derivative of conditional probability, ∇ r p ( s | r ; t ), approximately equals zero partly because the time interval of downstream gene-state transition is generally longer than that of upstream chromatin motion (Lammers et al. 2020).”
BackgroundSolving stochastic gene-expression models using queueing theory: A tutorial review
Szavits-Nossan, J., & Grima, R. (2023) · Biophysical Journal · doi:10.1016/j.bpj.2024.04.004 · Cited by 16 · see citing works
“7 b shows a generalization of the leaky telegraph model to include multiple transcription factor binding sites, leading to multiple active states (102).”
Inferring Stochastic Rates from Heterogeneous Snapshots of Particle Positions
Miles, C. E., McKinley, S. A., Ding, F., & Lehoucq, R. B. (2024) · Bulletin of Mathematical Biology · doi:10.1007/s11538-024-01301-4 · Cited by 10 · see citing works
“The proposed solution to these shortcomings is the use of mechanistic, stochastic models (Lammers et al. 2020; Gorin et al. 2022) as the basis of inferring gene expression dynamics.”
Single gene analysis in yeast suggests nonequilibrium regulatory dynamics for transcription
Shelansky, R., Abrahamsson, S., Brown, C. R., Doody, M. J., Lenstra, T., Larson, D. R., & Boeger, H. (2024) · Nature Communications · doi:10.1038/s41467-024-50419-5 · Cited by 14
“(Thus, by virtue of its non-cyclic transition graph, the standard two-state random-telegraph model of gene regulation 24 implies equilibrium dynamics.)”
The linear framework II: using graph theory to analyse the transient regime of Markov processes
Nam, K.-M., & Gunawardena, J. (2023) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2023.1233808 · Cited by 14 · see citing works
“Efforts to explain how such bursting arises have focussed on stochastic transitions between transcriptionally active and inactive states in a Markovian setting (Peccoud and Ycart, 1995; Lammers et al., 2020).”
BackgroundMethodInfluentialRegulation of RNA polymerase II transcription through re-initiation and bursting
Nagel, M., & Taatjes, D. J. (2025) · Molecular Cell · doi:10.1016/j.molcel.2025.04.011 · Cited by 17 · see citing works
Optogenetic dissection of transcriptional repression in a multicellular organism
Zhao, J., Lammers, N. C., Álamos, S., Kim, Y. J., Martini, G. D., & García, H. G. (2024) · Nature Communications · doi:10.1038/s41467-024-53539-0 · Cited by 14 · see citing works
“…points to an underlying mechanism controlling the burst frequency that rapidly reads and responds to changing repressor concentrations, likely within a matter of seconds — a timescale that is consistent with the fast binding and unbinding dynamics reported for eukaryotic transcription factors 64 .”
Self-citation4D nucleome equation predicts gene expression controlled by long-range enhancer-promoter interaction
Wang, Z.-H., Luo, S.-H., Zhang, Z.-Q., Zhou, T.-S., & Zhang, J. (2023) · PLoS Comput. Biol. · doi:10.1371/journal.pcbi.1011722 · Cited by 12 · see citing works
Palacio, M., & Taatjes, D. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116251 · Cited by 10 · see citing works
Whitney, P. H., & Lionnet, T. (2024) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2024.102873 · Cited by 10 · see citing works
Chromatin enables precise and scalable gene regulation with factors of limited specificity
Perkins, M., Crocker, J. M., & Tkačik, G. (2024) · bioRxiv · doi:10.1101/2024.06.13.598840 · Cited by 10
Integrative approaches to study enhancer–promoter communication
Mach, P., & Giorgetti, L. (2023) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2023.102052 · Cited by 10 · see citing works
Single-cell transcriptional dynamics in a living vertebrate
Eck, E., Moretti, B., Schlomann, B. H., Bragantini, J., Lange, M., Zhao, X., VijayKumar, S., Valentin, G., Loureiro, C., Franco, P. P., et al. (2024) · bioRxiv · doi:10.1101/2024.01.03.574108 · Cited by 9
“…system have been limited to single cells in culture, tissue samples, invertebrate model organisms, such as flies and worms, and plants (Garcia et al. 2013; Lammers, Kim, et al. 2020; Wildner et al. 2023; Lee, Shin, and Kimble 2019; Corrigan et al. 2016; Alamos et al. 2021; Park et al. 2014).”
BackgroundMethodInfluentialHuang, Z., Luo, S., Wang, Z., Zhang, Z., Jiang, B., Nie, Q. H., & Zhang, J. (2024) · eLife · doi:10.7554/elife.100623 · Cited by 5 · see citing works
“However, it remains an unresolved question how cells make fate decisions in response to external signals through genome-wide regulation of transcriptional burst mechanisms ( Lammers et al., 2020 ; Rodriguez and Larson, 2020 ).”
Assessing Markovian and Delay Models for Single-Nucleus RNA Sequencing
Gorin, G., Yoshida, S. R., & Pachter, L. S. (2023) · Bulletin of Mathematical Biology · doi:10.1007/s11538-023-01213-9 · Cited by 13 · see citing works
“At the coarsest level of detail, this behavior is usually explained by appealing to a Markovian, two-state promoter model (Peccoud and Ycard 1995); genes that exhibit more complex transcriptional dynamics aremodeled by increasingly sophisticated Markovian (Lammers et al. 2020; Zhou and Zhang 2012; Ham et al. 2020b) as…”
BackgroundInfluentialMouse promoters are characterised by low occupancy and high turnover of RNA polymerase II
Chatsirisupachai, K., Moene, C. J. I., Kleinendorst, R., Kreibich, E., Molina, N., & Krebs, A. R. (2025) · Molecular Systems Biology · doi:10.1038/s44320-025-00094-5 · Cited by 7 · see citing works
“The molecular basis for these wide differences in transcription kinetics is yet unknown (Lammers et al, 2020; Meeussen and Lenstra, 2024).”
A synthetic synthesis to explore animal evolution and development
Perkins, M. L., Gándara, L., & Crocker, J. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0517 · Cited by 9 · see citing works
“Even small GRNs can execute involved processes such as disturbance rejection [79] and fold-change detection [80] over timescales much longer than the few seconds required for transcription initiation [16].”
BackgroundLynch, T. R., Xue, M., Czerniak, C. W., Lee, C., & Kimble, J. (2021) · bioRxiv · doi:10.1101/2021.11.09.467950 · Cited by 7
“Metazoan CREs have been 46 subjected to many elegant analyses over decades, with integration of empirical data and computational 47 modeling being particularly useful (e.g. Andersson and Sandelin, 2020; Bentovim et al., 2017; Ezer et al., 48 2014; Giorgetti et al., 2010; Lammers et al., 2020; Wong and Gunawardena, 202…”
BackgroundMethodInfluentialConductive Hydrogels for Exogenous Sensing and Cell Fate Control
Akbar, T. F., Jimenez-Rodriguez, C. A., Biktimirova, R., Hermes, I., Kurth, T., Pham, M. D., Tsurkan, M. V., Friedrichs, J., Morgan, F. L. C., Kleemann, H., et al. (2026) · Advanced Materials · doi:10.1002/adma.72866 · Cited by 5 · see citing works
“The elevated water content may make PEDOT:sGAGh-based OECTs well-suited for mimicking the mechanical properties of tissues while enabling sensing of biomolecular signals that evolve over timescales of seconds to minutes [54].”
François, J., Jambhekar, A., & Lahav, G. (2025) · Journal of Molecular Biology · doi:10.1016/j.jmb.2025.169436 · Cited by 4 · see citing works
Garcia-Guillen, J., & El‐Sherif, E. (2025) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2025.1522725 · Cited by 11 · see citing works
“…as chromatin remodeling, nucleosome clearance, transcription pausing and release, transcriptional bursting, and other important details (Fuda et al., 2009; Lammers et al., 2020; Yokoshi and Fukaya, 2019; Adelman and Lis, 2012; Gaertner and Zeitlinger, 2014; Green, 2005; Nechaev and Adelman, 2011).”
How Transcription Factors Binding Stimulates Transcriptional Bursting
Mondal, A. K., & Kolomeisky, A. B. (2024) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.4c02050 · Cited by 6 · see citing works
Establishment and maintenance of random monoallelic expression
Kanata, E., Duffié, R., & Schulz, E. G. (2024) · Development · doi:10.1242/dev.201741 · Cited by 7 · see citing works
Ma, M., Szavits-Nossan, J., Singh, A., & Grima, R. (2024) · Mathematical Biosciences · doi:10.1016/j.mbs.2024.109204 · Cited by 8 · see citing works
“Finally, gene timescales are very short, of the order of seconds to few minutes [73], and therefore gene species can be considered faster than both mRNA and protein species.”
BackgroundTransient and delay chemical master equationsPreprint
Gorin, G., Yoshida, S., & Pachter, L. (2022) · bioRxiv · doi:10.1101/2022.10.17.512599 · Cited by 6 · see citing works
“To choose cells for analysis by Monod, we identified cell barcodes which were (1) assigned to either the GABAergic or glutamatergic cell type according to annotations, (2) passed the kallisto|bustools filter and knee plot filters, and (3) did not belong to one of the excluded rare cell subtypes (Scng or L6 IT Car3).”
BackgroundMethodInfluentialAlgebraic formulas for first-passage times of Markov processes in the linear framework
Nam, K.-M., & Gunawardena, J. (2025) · Bulletin of Mathematical Biology · doi:10.1007/s11538-025-01524-z · Cited by 5 · see citing works
“…et al. 2009; Bel et al. 2010; Moffitt et al. 2010; Moffitt and Bustamante 2014; Banerjee et al. 2017; Cui and Mehta 2018; Mallory et al. 2019; Wang et al. 2021; Lammers et al. 2020; Alamos et al. 2023; Lammers et al. 2023; Dal Co et al. 2017; Ghusinga et al. 2017; Gupta et al. 2018; Ham et al. 2024).”
Bridging spatial and temporal scales of developmental gene regulation
Cardona, A. H., Peixoto, M., Borjigin, T., & Gregor, T. (2025) · Current Opinion in Genetics and Development · doi:10.1016/j.gde.2025.102328 · Cited by 5 · see citing works
“E-P communication is central to gene regulation [1,2] (Figure 1a).”
Cell fate ratios are encoded by transcriptional dynamics in the Drosophila retina
Ainsworth, J. A., Zhao, Y.-C., Gao, K., Gravina, N. M., Goldberg, Z. H., Pinkerton, C., Rifkin, S. A., Ernst, A. M., García, H. G., & Perry, M. W. (2025) · Current Biology · doi:10.1016/j.cub.2025.05.037 · Cited by 4
Palacio, M., & Taatjes, D. (2025) · bioRxiv · doi:10.1101/2025.01.06.631569 · Cited by 4 · see citing works
Pimmett, V. L., McGehee, J., Trullo, A., Douaihy, M., Radulescu, O., Stathopoulos, A., & Lagha, M. (2024) · bioRxiv · doi:10.1101/2024.11.28.623729 · Cited by 4
Better together: how cooperativity influences transcriptional bursting.
Fountas, C., & Lenstra, T. (2024) · Current Opinion in Genetics and Development · doi:10.1016/j.gde.2024.102274 · Cited by 4 · see citing works
Transcriptional silencing in Saccharomyces cerevisiae: known unknowns
Dhillon, N., & Kamakaka, R. T. (2024) · Epigenetics & Chromatin · doi:10.1186/s13072-024-00553-7 · Cited by 4 · see citing works
“These include TF binding and unbinding, mediator dynamics, chromatin modifier and remodeller binding dynamics, nucleosome cycling and GTF binding and release amongst others [39].”
BackgroundInference and sampling of point processes from diffusion excursions
Hasan, A., Chen, Y., Ng, Y., Abdelghani, M., Schneider, A., & Tarokh, V. (2023) · Conference on Uncertainty in Artificial Intelligence · doi:10.48550/arxiv.2306.00762 · Cited by 4
“Similarly, intracellular events are considered to be a function of a protein concentration exceeding a threshold and bursty transcription relates to the continuous movement of underlying molecules [Ghusinga et al., 2017, Lammers et al., 2020].”
BackgroundCausality in transcription and genome folding: Insights from X inactivation
Bauer, M., Payer, B., & Filion, G. J. P. (2022) · BioEssays · doi:10.1002/bies.202200105 · Cited by 4 · see citing works
“However, neither the stable nor the transient version of the looping model can explain the following observations: (1) Transcription factors remain bound to their motif for a few seconds at most,[47] while transcription bursts can last minutes.[48,49] This is incompatible”
BackgroundLive-cell imaging of enhancer-promoter dynamics reveals transient contact-driven gene activation
Yang, J. H., Pinholt, H. D., Toppen, J., Huseyin, M. K., Jusuf, J. M., Katsifis, C. C., Kæstel-Hansen, J., Mirny, L. A., Zechner, C., & Hansen, A. S. (2026) · doi:10.64898/2026.06.21.733446 · Cited by 3 · see citing works
“In this context, we note that our τ E − P - estimate matches the residence time of many transcription factors and components of the general transcriptional machinery, which is also on the order of seconds to tens of seconds ( 88–96 ).”
Functional epigenetic dynamics and transcriptional heterogeneity: Recent advances
van Loosen, Q. C., van Saparoea, A. C. H. V. D. B., Cossins, B. C., & Verschure, P. J. (2026) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2026.100664 · Cited by 2 · see citing works
Tripathi, A., Dunkel, J., & Skinner, D. J. (2025) · PRX Life · doi:10.1103/lfnt-8qbt · Cited by 3
“The timescale of transcriptional and translational dynamics is on the order of tens of minutes [78], which would constrain accurate self-organized patterning to be on the order of hundreds of minutes, which is indeed a typical patterning timescale.”
Sood, V., & Misteli, T. (2025) · Trends in Cell Biology · doi:10.1016/j.tcb.2025.08.004 · Cited by 3 · see citing works
Novel Fluorescent and Photoconvertible Fusions Reveal Dorsal Activator DynamicsPreprint
Turner, M. A., Gravina, N. M., Moretti, B., Dima, S., Martini, G., Reeves, G. T., & García, H. G. (2025) · bioRxiv · doi:10.1101/2025.05.12.653543 · Cited by 3 · see citing works
“…us to track single molecules of Dorsal binding to DNA for the first time, finding that Dorsal spends only a few seconds bound to the DNA, an observation consistent with the binding times of several other transcription factor in the fruit fly and beyond ( Lammers et al., 2020b ; Lu and Lionnet, 2021 ).”
Reshaping transcription and translation dynamics during the awakening of the zygotic genome.
Maillard, L., Bensidoun, P., & Lagha, M. (2025) · Current Opinion in Genetics and Development · doi:10.1016/j.gde.2025.102344 · Cited by 3
Pimmett, V. L., McGehee, J., Trullo, A., Douaihy, M., Radulescu, O., Stathopoulos, A., & Lagha, M. (2025) · Development · doi:10.1242/dev.204706 · Cited by 3 · see citing works
Quantifying broken detailed balance in transcription
Holehouse, J. (2024) · npj Complexity · doi:10.1038/s44260-025-00064-w · Cited by 3 · see citing works
Hierarchical Interplay between H3K27ac and H3K4me3 in Transcriptional Regulation
Zhou, C., Dong, C., Zhao, W., & Liang, F.-S. (2026) · bioRxiv · doi:10.64898/2026.05.11.724317 · Cited by 2
“…minutes of promoter activation by recruiting RNA pol-II and its phosphorylation at the Ser5 of C-terminal domain (CTD) (RNA pol-II Ser5Ph), 43–45 followed by promoter-proximal pausing within minutes stabilized by Negative Elongation Factor (NELF), 46–48 where RNA pol-II remains stalled for…”
Molecular co-accessibility identifies coordinated regulation between distant cis-regulatory elementsPreprint
Boulanger, M., Chatsirisupachai, K., Badayeva, Y., Snajder, R., Bonder, M., Lapouge, K., Remans, K., & Krebs, A. R. (2025) · bioRxiv · doi:10.1101/2025.08.05.668660 · Cited by 2 · see citing works
“This model seems however unlikely given the short residency time of most TFs, temporal disconnection with the dynamics of chromatin opening (47), and the slower kinetics of 3D loop formation (48, 49).”
Do Distinct Subpopulations Signify Modes of Behavior in a Noisy Single Cell?Preprint
Holehouse, J. (2025) · bioRxiv · doi:10.1101/2025.07.22.666238 · Cited by 2 · see citing works
Length-dependent residence time of contacts in simple polymeric models.
Marchi, E., & Tiana, G. (2024) · Physical Review E · doi:10.1103/physreve.111.015401 · Cited by 2 · see citing works
Energy Aware Technology Mapping of Genetic Logic Circuits
Kubaczka, E., Gehri, M., Marlhens, J. J. M., Schwarz, T., Molderings, M., Engelmann, N., García, H. G., Hochberger, C., & Koeppl, H. (2024) · bioRxiv · doi:10.1021/acssynbio.4c00395 · Cited by 2 · see citing works
“The CRN representation of a promoter model generally is more versatile, as it may describe not only the number of bound transcription factors but also different DNA conformations in a possible multistep transcriptional activation.”
BackgroundInfluentialAntisense transcription can induce expression memory via stable promoter repression
Mutzel, V., Schwämmle, T., Oeverdieck, S., Librenjak, L., Boesen, B. B., Bothe, M., Gjaltema, R. A. F., Dunkel, I., Noviello, G., & Schulz, E. G. (2025) · Genome biology · doi:10.1186/s13059-025-03875-1 · Cited by 1 · see citing works
“In general, chromatin states can be stable for hours or even days [64] and the antisense-transcription associated H3K36me3 mark has a lifespan for ~ 1 h in yeast [65].”
Martini, G., & García, H. G. (2023) · bioRxiv · doi:10.1101/2023.08.09.552666 · Cited by 2 · see citing works
“In Drosophila melanogaster, transcriptional bursts often last approximately 5 min and occur about every 5 min at room temperature, which is around 25°C (Lammers et al. (2020a)).”
BackgroundMethodInfluentialTheoretical Principles of Enhancer-Promoter Communication in Transcriptional BurstingPreprint
Wang, Z., Zhang, Z., Luo, S., Zhou, T., & Zhang, J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.24.477520 · Cited by 2 · see citing works
Single-cell transcriptional dynamics in a living vertebrate
Eck, E., Moretti, B., Schlomann, B. H., Bragantini, J., Lange, M., Zhao, X., VijayKumar, S., Valentin, G., Loureiro, C., Franco, P. P., et al. (2026) · Cell Systems · doi:10.1016/j.cels.2026.101708 · Cited by 1 · see citing works
“52 Canonical bursts are stochastic, 13,48 at odds with the notion of regular oscillations.”
Hierarchical interplay between H3K27ac and H3K4me3 in transcriptional regulation
Zhou, C., Dong, C., Zhao, W., & Liang, F. (2026) · Nature Communications · doi:10.1038/s41467-026-74693-7 · Cited by 2 · see citing works
“…occurs within minutes of activation by recruiting RNA pol-II and its phosphorylation at Ser5 of the C-terminal domain (CTD) (RNA pol-II Ser5Ph) 46 – 48 , followed by promoter-proximal pausing within minutes stabilized by Negative Elongation Factor (NELF) 49 – 51 , where RNA pol-II remains stalled…”
Transcription clusters and developmental pathways – nature, nurture, noise
Cook, P. R. (2026) · Journal of Cell Science · doi:10.1242/jcs.264769 · Cited by 1 · see citing works
“For example, ‘ ON ’ times are typically minutes to hours (and even days), and this creates variability and noise (Lammers et al., 2020) – but polymerases and transcription factors bind to DNA in seconds.”
Maillard, L., Pimmett, V. L., Douaihy, M., Idieder, P. G., Topno, R., Brun, A., Trullo, A., Radulescu, O., & Lagha, M. (2026) · Development · doi:10.1242/dev.204953
“In all organisms examined so far, transcription appears stochastic, marked by active periods (bursts of mRNA production) interspersed by inactive periods of various timescales (Lammers et al., 2020b).”
Marker genes reveal dynamic features of cell evolving processes
Cao, W., Zhang, B.-G., & Zhou, T.-S. (2025) · Bioinformatics Advances · doi:10.1093/bioadv/vbaf185 · Cited by 1 · see citing works
“…to order single cells of scRNA-seq data based on transcriptomic divergence (Peccoud and Ycart 1995, Paulsson and Ehrenberg 2000, Dar et al. 2012, Corrigan et al. 2016, Tantale et al. 2016, Nicolas et al. 2017, Lammers et al. 2020, Tunnacliffe and Chubb 2020, Pimmett et al. 2021, Chen et al. 2024).”
How Transcriptional Bursting and mRNA Production Affect Precise Timing of Cell Lysis Phenomena.
Lyu, Z., Mondal, A., & Kolomeisky, A. (2025) · Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.5c01029 · Cited by 1 · see citing works
lncreased risk of slippage upon disengagement of the mitotic checkpoint
Stier, A., Bonaiuti, P., Juhász, J., Gross, F., & Ciliberto, A. (2025) · PLoS Comput. Biol. · doi:10.1371/journal.pcbi.1012879 · Cited by 1
“We found that the intrinsic noise supplemented with transcriptional bursts, which are well documented in yeast [18], suffice to”
Impacts of the feedback loop between sense-antisense RNAs in regulating circadian rhythms
Uriu, K., Hernandez-Sanchez, J. P., & Kojima, S. (2024) · npj Systems Biology and Applications · doi:10.1038/s41540-024-00451-4 · Cited by 2 · see citing works
“Quasi-steady state analysis reveals that PER2 protein promotes Per2AS transcription Wenextperformedquasi-steadystateanalysistosimplifytheequationsand reducethenumberofindependentvariables,giventhatthetimescaleof 30,31 .”
BackgroundSpatial microenvironments tune immune response dynamics in the Drosophila larval fat body
Schlomann, B. H., Pai, T.-W., Sandhu, J., Imbert, G. F., Graham, T. G. W., & García, H. G. (2024) · bioRxiv · doi:10.1371/journal.pgen.1012029 · Cited by 1 · see citing works
Liu, S., Wu, B., & Jia, C. (2024) · doi:10.1101/2024.06.24.600551 · Cited by 1 · see citing works
“Experiments have shown that holding times in different gene states play a significant role in various cellular processes, such as transcriptional regulation [19], cell differentiation [20], epigenetic modifications [21], and response to environmental changes [22, 23].”
How transcription factor binding controls transcriptional bursting dynamics: A single-molecule view.
Chong, S.-S., & Yoshida, S. (2024) · Molecules and Cells · doi:10.1016/j.molcel.2024.02.027 · Cited by 1 · see citing works
Amplifying gene expression sensitivity by surface condensation on DNA
Tohme, T., Alston, H., Janssen, J., Walczak, A., & Mora, T. (2026) · doi:10.48550/arxiv.2610.22667
“…limits and features of the general problem of concentration sensing have been studied for individual receptors at [17] and far from equilibrium [18, 19], under time [20] and physical constraints [21, 22], in changing environments [23, 24], and in the context of information transmission [25,…”
Mechanisms of transcription control by distal enhancers from single-gene nanoscopy
Cheng, L., De, C., Li, J., Korff, R., & Pertsinidis, A. (2026) · Cell · doi:10.1016/j.cell.2026.09.028 · Cited by 30 · see citing works
America, P. P. B., Klein, M., Dulin, D., & Depken, M. (2026) · bioRxiv · doi:10.64898/2026.09.09.750331
Stable epigenetic states set single-cell activation thresholds in mammalian expression systems
Costa, E. J., Rios-Martinez, C., Andrews, C. J., Ferrell, J. E., & Bintu, L. (2026) · bioRxiv · doi:10.64898/2026.09.04.749524
Exchange dynamics and kinetic control of gene regulation complexes
Johnson-Buck, A., Chauvier, A., Abidi, A., Kissiov, D. U., Darzacq, X., Tjian, R., Woodson, S. A., & Walter, N. G. (2026) · Nature reviews. Molecular cell biology · doi:10.1038/s41580-026-00991-z
“Whereas Pol II engages genes in stochastic bursts lasting minutes to hours 121,122 , TF–DNA binding typically occurs on sub-second to second timescales 123 .”
The Origins of Transient Bimodality
Öcal, K., Sukys, A., Kumar, A., & Holehouse, J. (2026) · doi:10.48550/arxiv.2607.16531
Transcriptional Bursting in Pluripotent Stem Cells
Lin, R., Liu, Y., & Wu, Q. (2026) · Biology · doi:10.3390/biology15120951
“While in the ON state, RNA polymerase initiates transcription at a consistent rate γ (mRNA min − 1 or h − 1 ); in the OFF state, transcription initiation does not occur [18,19].”
Sahoo, S., Khanna, S., Senapati, S., Kumar, H., Prabhu, J., Notani, D., Hannenhalli, S., & Jolly, M. (2026) · bioRxiv · doi:10.64898/2026.05.11.724242
Decoupling between activation time and steady-state level in input-output responses
Ravanelli, G., Nam, K.-M., Gunawardena, J., & Martinez-Corral, R. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014288
“…of transcriptional regulation, where it is well-known that different regulatory steps—such as chromatin remodelling, transcription initiation, and RNA polymerase pausing—operate on distinct timescales (reviewed in [41]), and TFs may selectively regulate a subset of these processes [27,46,47].”
Yang, X., Wang, Z., Shi, C., Wu, Y., & Zhang, J. (2026) · Bulletin of Mathematical Biology · doi:10.1007/s11538-025-01581-4
“…model Peccoud and Ycart (1995) treats the promoter as switching between a single active (ON) and inactive (OFF) state, while more elaborate multistate models Neuert et al. (2013); Rodriguez et al. (2019); Lammers et al. (2020) introduce intermediate OFF states to capture complex regulatory steps.”
Decoupling between activation time and steady-state level in input-output responses
Ravanelli, G., Nam, K.-M., Gunawardena, J., & Martinez-Corral, R. (2025) · bioRxiv · doi:10.1101/2025.09.03.673941
“Such separations of timescales have been widely recognised in the setting of gene regulation, where changes in chromatin state are typically measured to proceed on slower timescales than TF binding and the reactions that comprise the polymerase cycle [33,39–41].”
Mammalian promoters are characterised by low occupancy and high turnover of RNA polymerase IIPreprint
Chatsirisupachai, K., Moene, C. J., Kleinendorst, R., Kreibich, E., Molina, N., & Krebs, A. R. (2024) · bioRxiv · doi:10.1101/2024.09.23.614464
“The molecular basis for these wide differences in transcription kinetics is yet unknown (15, 16).”
BackgroundResultJin, B., Feng, H., & Bush, W. (2023) · bioRxiv · doi:10.1101/2022.09.21.508743
“Episodic bursting of expression is a prevalent phenomenon in eukaryotic cells (Lammers et al. 2020) compared to prokaryotic cells, which reflects their relative complexity and hierarchical nature of transcriptional regulation.”
BackgroundWang, Z.-H., Luo, S.-H., Chen, M., Zhou, T., & Zhang, J. (2021) · bioRxiv · doi:10.1101/2021.05.17.444405
- Authors
- Lammers, N. C., Kim, Y. J., Zhao, J., & Garcia, H. G.
- Affiliations
- University of California, Berkeley (US)
- Venue
- Current Opinion in Cell Biology
- Publisher
- Elsevier BV
- Published
- 2020-12
- Volume
- 67
- Pages
- 147-157
- ISSN
- 0955-0674 (ISSN-L)
- PMC
- PMC8498946
- OpenAlex
- W3081370983
- Cited by
- 99
- References
- 128
- Citations by year
- 2026: 19 · 2025: 23 · 2024: 28 · 2023: 14 · 2022: 9 · 2021: 5 · 2020: 1
- FWCI
- 0.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Opinion in Cell Biology (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Research Foundation
- Searle Scholars Program
- Shurl & Kay Curci Foundation
- Hellman Foundation
- NIH
- NSF
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Diffusion and Search Dynamics
- Keywords
- transcriptional bursting, eukaryotic transcription, transcription factor-DNA binding, molecular dynamics, transcriptional noise, transcriptional variability
- MeSH terms
- Animals, Humans, Kinetics, Models, Genetic, Time Factors, Transcription, Genetic
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