The DOI matches its Crossref record; 161 of the 161 references it cites were found in a registry or an index.
Transcription in Living Cells: Molecular Mechanisms of Bursting
Abstract
Transcription in several organisms from certain bacteria to humans has been observed to be stochastic in nature: toggling between active and inactive states. Periods of active nascent RNA synthesis known as bursts represent individual gene activation events in which multiple polymerases are initiated. Therefore, bursting is the single locus illustration of both gene activation and repression. Although transcriptional bursting was originally observed decades ago, only recently have technological advances enabled the field to begin elucidating gene regulation at the single-locus level. In this review, we focus on how biochemical, genomic, and single-cell data describe the regulatory steps of transcriptional bursts.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In eukaryotic cells, transcription occurs in cycles [50,51,52].”
From Enhancer Function in the 3D Genome (2023) · cites this paper as [52]
Citations
Cites
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Topological domains in mammalian genomes identified by analysis of chromatin interactions
Dixon, J. R., Selvaraj, S., Yue, F., Kim, A., Li, Y., Shen, Y., Hu, M., Liu, J. S., & Ren, B. (2012) · Nature · doi:10.1038/nature11082 · Cited by 6,829
Spatial partitioning of the regulatory landscape of the X-inactivation centre
Nora, E. P., Lajoie, B. R., Schulz, E. G., Giorgetti, L., Okamoto, I., Servant, N., Piolot, T., van Berkum, N. L., Meisig, J., Sedat, J., et al. (2012) · Nature · doi:10.1038/nature11049 · Cited by 2,895
Disruptions of Topological Chromatin Domains Cause Pathogenic Rewiring of Gene-Enhancer Interactions
Lupiáñez, D. G., Kraft, K., Heinrich, V., Krawitz, P., Brancati, F., Klopocki, E., Horn, D., Kayserili, H., Opitz, J. M., Laxova, R., et al. (2015) · Cell · doi:10.1016/j.cell.2015.04.004 · Cited by 2,132
Lattice light-sheet microscopy: Imaging molecules to embryos at high spatiotemporal resolution
Chen, B., Legant, W. R., Wang, K., Shao, L., Milkie, D. E., Davidson, M. W., Janetopoulos, C., Wu, X., Hammer, J. A., Liu, Z. J., et al. (2014) · Science · doi:10.1126/science.1257998 · Cited by 1,947
Cohesin Loss Eliminates All Loop Domains
Rao, S. S. P., Huang, S.-C., Glenn St Hilaire, B., Engreitz, J. M., Perez, E. M., Kieffer-Kwon, K.-R., Sanborn, A. L., Johnstone, S. E., Bascom, G. D., Bochkov, I. D., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.026 · Cited by 1,883
Supercoiling of the DNA template during transcription.
Liu, L. F., & Wang, J. C. (1987) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.84.20.7024 · Cited by 1,877
An oestrogen-receptor-α-bound human chromatin interactome
Fullwood, M. J., Liu, M. H., Pan, Y. F., Liu, J., Han, X., Mohamed, Y. B., Orlov, Y. L., Velkov, S., Ho, A., Poh, H. M., et al. (2009) · Nature · doi:10.1038/nature08497 · Cited by 1,752
Research works printed but not linked: 2
- 2017, GeneHancer: genome-wide integration of enhancers and target genes in GeneCards, Database, bax028
- 2018, A muscle-specific enhancer RNA mediates cohesin recruitment and regulates transcription in trans. Mol, Cell, 71, 129
Cited by
Sorted by citations
Items 101–200 of 235
Embree, C. M., Paul, D., Stephanou, A., & Singh, G. (2025) · RNA Biology · doi:10.1080/15476286.2025.2552517 · Cited by 12
Multiscale Bayesian simulations reveal functional chromatin condensation of gene loci
Brandani, G. B., Gu, C., Gopi, S., & Takada, S. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae226 · Cited by 11
Molecular models of bidirectional promoter regulation
Nemsick, S., & Hansen, A. S. (2024) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2024.102865 · Cited by 11
Rüegger, J., Gagestein, B., Janssen, A. P. A., Valeanu, A., Mori, A. L., van der Peet, M., Boutkan, M. S., Florea, B. I., Henneman, A. A., Hochstrasser, R., et al. (2025) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2025.100961 · Cited by 10
Heavy-tailed distributions in a stochastic gene autoregulation model
Bokes, P. (2021) · Journal of Statistical Mechanics Theory and Experiment · doi:10.1088/1742-5468/ac2edb · Cited by 10
Chromatin structure and dynamics: one nucleosome at a time
Presman, D. M., Benítez, B., Lafuente, A. L., & Lareu, A. V. (2024) · Histochemistry and Cell Biology · doi:10.1007/s00418-024-02281-1 · Cited by 10
Morf, J., Basu, S., & Amaral, P. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.589413 · Cited by 10
Understanding the molecular mechanisms of transcriptional bursting
Klindziuk, A., & Kolomeisky, A. B. (2021) · Physical Chemistry Chemical Physics · doi:10.1039/d1cp03665c · Cited by 10
Filatova, T., Popović, N., & Grima, R. (2022) · Mathematical Biosciences · doi:10.1016/j.mbs.2022.108828 · Cited by 10
Liu, J., Hansen, D., Eck, E., Kim, Y. J., Turner, M. A., Álamos, S., & García, H. G. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.29.273474 · Cited by 10
Palacio, M., & Taatjes, D. J. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.116251 · Cited by 14
Oehler, M., Geisser, L., Diernfellner, A. C. R., & Brunner, M. (2023) · Science Advances · doi:10.1126/sciadv.adh0721 · Cited by 9
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
Capicua is a fast-acting transcriptional brake
Patel, A. L., Zhang, L., Keenan, S. E., Rushlow, C. A., Fradin, C., & Shvartsman, S. Y. (2021) · Current Biology · doi:10.1016/j.cub.2021.05.061 · Cited by 9
Khan, S. U., & Khan, M. U. (2021) · Journal of Chemistry and Nutritional Biochemistry · doi:10.48185/jcnb.v2i2.378 · Cited by 8
Advances in visualizing transcription factor – DNA interactions
Price, R. M., Budzyński, M. A., Kundra, S., & Teves, S. S. (2020) · Genome · doi:10.1139/gen-2020-0086 · Cited by 8
The kinetic landscape of human transcription factorsPreprint
Mamrak, N., Alerasool, N., Griffith, D., Holehouse, A. S., Taipale, M., & Lionnet, T. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.01.494187 · Cited by 7
Epigenetic Mechanisms in the Transcriptional Regulation of Circadian Rhythm in Mammals
Mao, W., Ge, X., Chen, Q., & Li, J. (2025) · Biology · doi:10.3390/biology14010042 · Cited by 9
Hallmarks of glucocorticoid receptor condensates involvement in transcription regulation
Benítez, B., Stortz, M., Rossi, M. C. D., Presman, D. M., & Levi, V. (2025) · iScience · doi:10.1016/j.isci.2025.112678 · Cited by 8
Two distinct chromatin modules regulate proinflammatory gene expression
Seufert, I., Gerosa, I., Varamogianni‐Mamatsi, V., Vladimirova, A., Sen, E., Mantz, S., Rademacher, A., Schumacher, S., Liakopoulos, P., Kolovos, P., et al. (2025) · Nature Cell Biology · doi:10.1038/s41556-025-01819-2 · Cited by 8
Weems, J. C., Slaughter, B. D., Unruh, J. R., Weaver, K. J., Miller, B. D., Delventhal, K. M., Conaway, J. W., & Conaway, R. C. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.100862 · Cited by 7
Transcription factor residence time dominates over concentration in transcription activationPreprint
Popp, A. P., Hettich, J., & Gebhardt, J. C. M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.26.400069 · Cited by 7
Supercoiling-mediated feedback rapidly couples and tunes transcriptionPreprint
Johnstone, C. P., & Galloway, K. E. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.20.488937 · Cited by 7
Transient and delay chemical master equationsPreprint
Gorin, G., Yoshida, S., & Pachter, L. (2022) · bioRxiv · doi:10.1101/2022.10.17.512599 · Cited by 6
Leveraging polymer modeling to reconstruct chromatin connectivity from live images
Dutta, S., Ghosh, A., Boettiger, A. N., & Spakowitz, A. J. (2023) · Biophysical Journal · doi:10.1016/j.bpj.2023.08.001 · Cited by 6
Li, H., Rahman, M. A., Ruesch, M., Eisele, C. D., Anderson, E. M., Wright, P. W., Cao, J., Ratnayake, S., Chen, Q., Yan, C., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113454 · Cited by 7
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
Gorin, G., Chari, T., Carilli, M., Vastola, J. J., & Pachter, L. S. (2025) · Nature Methods · doi:10.1038/s41592-025-02832-x · Cited by 27
Alharbi, B. M., Bugshan, A., Almozel, A., Alenzi, R., Bouchama, A., Khatlani, T., Mohammad, S., & Malik, S. S. (2022) · Current Issues in Molecular Biology · doi:10.3390/cimb44100324 · Cited by 6
Trzaskoma, P., Jung, S., Kanno, Y., O’Shea, J. J., & Chow, C. C. (2024) · Neoplasia · doi:10.1016/j.neo.2024.101071 · Cited by 6
Organization of transcription and 3D genome as revealed by live-cell imaging
Ochiai, H., Ohishi, H., Sato, Y., & Kimurâ, H. (2023) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2023.102615 · Cited by 7
Differentiation is accompanied by a progressive loss in transcriptional memory
Fourneaux, C., Racine, L., Koering, C., Dussurgey, S., Vallin, E., Moussy, A., Parmentier, R., Brunard, F., Stockholm, D., Modolo, L., et al. (2024) · BMC Biology · doi:10.1186/s12915-024-01846-9 · Cited by 6
Ohishi, H., Shinkai, S., Owada, H., Fujii, T., Hosoda, K., Onami, S., Yamamoto, T., Ohkawa, Y., & Ochiai, H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.27.568629 · Cited by 6
Role of microRNAs in oncogenesis: Insights from computational and systems‐level modeling approaches
Govindaraj, V., & Kar, S. (2021) · Computational and Systems Oncology · doi:10.1002/cso2.1028 · Cited by 5
Chu, J., Pease, N. A., & Kueh, H. Y. (2021) · Immunological Reviews · doi:10.1111/imr.12946 · Cited by 5
Bokes, P. (2021) · Discrete and Continuous Dynamical Systems - B · doi:10.3934/dcdsb.2021126 · Cited by 5
Palacio, M., & Taatjes, D. (2025) · bioRxiv · doi:10.1101/2025.01.06.631569 · Cited by 4
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
Sood, V., & Misteli, T. (2025) · Trends in Cell Biology · doi:10.1016/j.tcb.2025.08.004 · Cited by 5
Measuring the buffering capacity of gene silencing in Saccharomyces cerevisiae
Wu, K., Dhillon, N., Du, K. H., & Kamakaka, R. T. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2111841118 · Cited by 4
Measuring Transcription Dynamics of Individual Genes Inside Living Cells
Brouwer, I., de Kort, M. A. C., & Lenstra, T. L. (2023) · Methods in molecular biology · doi:10.1007/978-1-0716-3377-9_12 · Cited by 4
Research progress of live-cell RNA imaging techniques
Sun, P., & Zou, W. (2022) · Journal of Zhejiang University (Medical Sciences) · doi:10.3724/zdxbyxb-2022-0017 · Cited by 4
Bursting Translation on Single mRNAs in Live CellsPreprint
Livingston, N. M., Kwon, J., Valera, O., Saba, J. A., Sinha, N., Reddy, P. M., Nelson, B., Wolfe, C. H., Ha, T., Green, R., et al. (2022) · bioRxiv · doi:10.1101/2022.11.07.515520 · Cited by 53
Single-cell nascent RNA sequencing using click-chemistry unveils coordinated transcriptionPreprint
Mahat, D. B., Tippens, N. D., Martin-Rufino, J. D., Waterton, S. K., Fu, J., Blatt, S. E., & Sharp, P. A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.15.558015 · Cited by 4
Huang, Z., Luo, S., Wang, Z., Zhang, Z., Jiang, B., Nie, Q. H., & Zhang, J. (2024) · eLife · doi:10.7554/elife.100623 · Cited by 7
Surviving phage attack primes bacterial immunity to defeat counterdefensesPreprint
Oshiro, R. T., Pratt, A., Dunham, D. T., Doyle, L., Gill, C., Chouldjian, A., Higashi, K., Acosta, J. P., McGuire, S., Nouwens, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.13.688357 · Cited by 3
Mosoh, D. A. (2026) · Frontiers in Plant Science · doi:10.3389/fpls.2026.1771802 · Cited by 3
DNA-binding, multivalent interactions and phase separation in transcriptional activation
Smith, N. C., & Matthews, J. M. (2023) · Australian Journal of Chemistry · doi:10.1071/ch22269 · Cited by 3
Yeast heterochromatin stably silences only weak regulatory elements by altering burst duration
Wu, K., Dhillon, N., Bajor, A., Abrahamsson, S., & Kamakaka, R. T. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113983 · Cited by 6
Targeting the Transcriptome Through Globally Acting Components
Parrello, D., Vlasenok, M., Kranz, L. A., & Nechaev, S. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.749850 · Cited by 3
Regulation of Pol II Pausing during Daily Gene Transcription in Mouse Liver
Xu, W. Q., & Li, X. (2023) · Biology · doi:10.3390/biology12081107 · Cited by 3
Catching the glucocorticoid receptor in the act: Lessons from fluorescence fluctuation methods
Stortz, M., Oses, C., Lafuente, A. L., Presman, D. M., & Levi, V. (2025) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2025.151327 · Cited by 3
Postponing production exponentially enhances the molecular memory of a stochastic switch
Bokes, P. (2021) · European Journal of Applied Mathematics · doi:10.1017/s0956792520000479 · Cited by 3
Theoretical 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
noSpliceVelo infers gene expression dynamics without separating unspliced and spliced transcriptsPreprint
Mahajan, T., & Maslov, S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.08.607261 · Cited by 3
The transcriptomics of phenotypic nonspecificity in Drosophila melanogaster
Sidhu, G., & Percival‐Smith, A. (2025) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkaf215 · Cited by 2
Compound relaxation oscillations in a modified Rayleigh–Duffing system with periodic non-smoothness
Zhang, Y., Song, J., Zuo, W., & Zhang, Z. (2025) · Mathematics and Computers in Simulation · doi:10.1016/j.matcom.2025.11.027 · Cited by 2
Herbert, A. G. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms27010272 · Cited by 3
Toward a comprehensive view of gene architecture during transcription
Woodworth, M. A., & Lakadamyali, M. (2024) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2024.102154 · Cited by 2
Huang, Z., Luo, S., Wang, Z., Zhang, Z., Jiang, B., Nie, Q. H., & Zhang, J. (2026) · eLife · doi:10.7554/elife.100623.4 · Cited by 2
Utilizing Omic Data to Understand Integrative Physiology
Knepper, M. A. (2025) · Physiology · doi:10.1152/physiol.00045.2024 · Cited by 2
Cell size-dependent mRNA transcription drives proteome remodeling
You, D. S., Bohrer, C. H., Rumde, P. H., Sanidas, I., Swaffer, M. P., Larson, D. R., Elias, J. E., Lanz, M. C., & Skotheim, J. M. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117488 · Cited by 7
Self-citationDNA Structural Elements as Potential Targets for Regulation of Gene Expression
Palumbo, M., & Sissi, C. (2023) · Springer eBooks · doi:10.1007/978-981-19-9776-1_39 · Cited by 2
Wang, M., Cao, W., Guo, Y., Wang, G., Jiang, J. W., Qiu, H., & Zhang, B. (2024) · Journal of Computational Biophysics and Chemistry · doi:10.1142/s2737416524400040 · Cited by 2
Novel Fluorescent and Photoconvertible Fusions Reveal Dorsal Activator DynamicsPreprint
Turner, M. A., Gravina, N. M., Moretti, B., Dima, S. S., Martini, G. D., Reeves, G. T., & García, H. G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.12.653543 · Cited by 2
Slaninová, V., Mazzarda, F., Dalakishvili, L., Depierre, D., Moene, C. J. I., Topno, R., Escudier, J., Robert, M.-C., Cuvier, O., Krebs, A. R., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.26.690466 · Cited by 2
Cooperative Architecture of Mitochondrial Proteome HomeostasisPreprint
Forny, P., Forny, M., Smith, A. J., Sung, A. Y., Liu, K., & Pagliarini, D. J. (2026) · medRxiv · doi:10.64898/2026.02.06.26345691 · Cited by 3
The spatial choreography of mRNA biosynthesis
Ventura-Gomes, A., & Carmo‐Fonseca, M. (2025) · Journal of Cell Science · doi:10.1242/jcs.263504 · Cited by 1
Gaillard, M., & Herbach, U. (2025) · Lecture notes in computer science · doi:10.1007/978-3-032-01436-8_7 · Cited by 1
Mauge, Y., & Ventre, E. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014838 · Cited by 4
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
Transcriptional Decoding of Morphogen Gradients during Development
Garcia, G. R., & Larson, D. R. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.09.007 · Cited by 1
Self-citationMonga, I., Randhawa, V., & Dhanda, S. K. (2022) · Springer eBooks · doi:10.1007/978-981-16-5993-5_6 · Cited by 1
Alharbi, B. M., Bugshan, A., Almozel, A., Alenzi, R., Bouchama, A., Khatlani, T., Mohammad, S., & Malik, S. S. (2022) · Preprints.org · doi:10.20944/preprints202205.0089.v1 · Cited by 1
CRISPR-dCas13-tracing reveals transcriptional memory and limited mRNP export in developing embryosPreprint
Huang, Y., Gao, B., Meng, Q., Yang, L.-Z., Ma, X.-K., Wu, H., Pan, Y.-H., Yang, L. C., Li, D., & Chen, L. (2022) · Research Square · doi:10.21203/rs.3.rs-1716200/v1 · Cited by 1
Regulation of stereotypic chromatin conformations at enhancers by CLOCK:BMAL1Preprint
Nie, X. Y., Ahuja, N., Hsieh, A., Abbi, G., Jiang, Y., & Menet, J. S. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.24.590818 · Cited by 1
RNA-mediated SOX2 temporal dynamics govern dual chromatin-engagement modes at NanogPreprint
Li, B., Wong, Y. Y., Kobayashi, Y., Rodriguez, N. F., Davidson, T., Graus, M. S., Smialkovska, V., Pachauri, S., Pradhan, S., Gao, X., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.10.612363 · Cited by 1
Huang, Z., Luo, S., Wang, Z., Zhang, Z., Jiang, B., Nie, Q. H., & Zhang, J. (2025) · eLife · doi:10.7554/elife.100623.2 · Cited by 2
Kinetic proofreading as a mechanism for transcriptional specificity in living human cellsPreprint
Kim, J. M., Ball, D. A., Johnson, T. A., DInzeo, C., Cho, H. J., Ozbun, L. L., Karpova, T., Pegoraro, G., & Larson, D. R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.17.711757 · Cited by 1
Self-citationQuantitative analysis of Histone modifications in gene silencingPreprint
Wu, K., Dhillon, N., Du, K. H., & Kamakaka, R. T. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.17.386896
Comprehensive Analysis of Transcriptional Bursting in Mammalian Cells
Ochiai, H. (2021) · Seibutsu Butsuri · doi:10.2142/biophys.61.171
Transcriptional burst kinetics are linked to short term transcriptional memoryPreprint
Senecal, A., Singer, R. H., & Coleman, R. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.31.466715
Zhou, T. (2022) · Research Square · doi:10.21203/rs.3.rs-1582275/v1
Jin, B., Feng, H., & Bush, W. S. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.21.508743
Ohishi, H., & Ochiai, H. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2724-2_8
Facilitating genome function understanding using genome editing dependent bioimaging techniques
Ochiai, H. (2022) · Gene and Genome Editing · doi:10.1016/j.ggedit.2022.100022
DNA Structural Elements as Potential Targets for Regulation of Gene Expression
Palumbo, M., & Sissi, C. (2023) · Springer eBooks · doi:10.1007/978-981-16-1313-5_39-1
Huang, Y., Gao, B., Meng, Q., Yang, L.-Z., Ma, X.-K., Wu, H., Pan, Y.-H., Yang, L. C., Li, D., & Chen, L. (2023) · Figshare · doi:10.6084/m9.figshare.22605973
Huang, Y., Gao, B., Meng, Q., Yang, L.-Z., Ma, X.-K., Wu, H., Pan, Y.-H., Yang, L. C., Li, D., & Chen, L. (2023) · Figshare · doi:10.6084/m9.figshare.22605979
Huang, Y., Gao, B., Meng, Q., Yang, L.-Z., Ma, X.-K., Wu, H., Pan, Y.-H., Yang, L. C., Li, D., & Chen, L. (2023) · Figshare · doi:10.6084/m9.figshare.22605970
Huang, Y., Gao, B., Meng, Q., Yang, L.-Z., Ma, X.-K., Wu, H., Pan, Y.-H., Yang, L. C., Li, D., & Chen, L. (2023) · Figshare · doi:10.6084/m9.figshare.22605976
Huang, Y., Gao, B., Meng, Q., Yang, L.-Z., Ma, X.-K., Wu, H., Pan, Y.-H., Yang, L. C., Li, D., & Chen, L. (2023) · Figshare · doi:10.6084/m9.figshare.22605967
Kimura, Y., Ono, Y., Katayama, K., & Imoto, S. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbae118 · Cited by 1
Imaging Activity-Dependent Gene Expression in Neurons: RNA-Tagging Technologies
Hwang, D.-W., Lituma, P. J., & Das, S. (2024) · Springer eBooks · doi:10.1007/978-3-031-68550-7_17
Liu, M., Li, Y., Yuan, X. H., Rong, S., & Du, J. (2024) · Biochemistry and Cell Biology · doi:10.1139/bcb-2024-0094
Huang, Z., Luo, S., Wang, Z., Zhang, Z., Jiang, B., Nie, Q. H., & Zhang, J. (2024) · eLife · doi:10.7554/elife.100623.1 · Cited by 1
Anti-Phase Clustering of Regulatory Factors Shapes Gene Transcription BurstPreprint
Li, B., Wong, Y. Y., Rodriguez, N. F., Davidson, T., Graus, M. S., Smialkovska, V., Ohishi, H., Feldmann, A., Ochiai, H., & François, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5157778
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
Bursty Gene Expression in Single Cells and Expanding Populations: A Discrete ApproachPreprint
Poljovka, J., Zabaikina, I., Bokes, P., & Singh, A. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.20.655093
Metadata
- Authors
- Rodriguez, J., & Larson, D. R.
- Affiliations
- National Institute of Environmental Health Sciences (US)
- National Cancer Institute (US)
- Venue
- Annual Review of Biochemistry
- Publisher
- Annual Reviews
- Published
- 2020-06-20
- Volume
- 89
- Issue
- 1
- Pages
- 189-212
- ISSN
- 0066-4154 (ISSN-L)
- 1545-4509
- OpenAlex
- W3013821085
- Cited by
- 224
- References
- 161
- Citations by year
- 2026: 19 · 2025: 32 · 2024: 50 · 2023: 38 · 2022: 29 · 2021: 42 · 2020: 14
- FWCI
- 3.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Biochemistry (publishedVersion)
- PubMed (publishedVersion)
- 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 › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- transcriptional bursting, stochastic gene expression, gene activation, gene repression, RNA polymerase, single-cell transcriptomics, transcriptional noise
- MeSH terms
- Animals, Chromatin, DNA, Eukaryotic Cells, Gene Expression Regulation, Histones, Humans, RNA Polymerase II, RNA, Messenger, Stochastic Processes, Transcription, Genetic, Molecular Probes, Molecular Probe Techniques, Genome, Genetic Loci, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review