Implication of polymerase recycling for nascent transcript quantification by live cell imaging Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1101/2023.09.25.559364
Transcription enables the production of RNA from a DNA template. Due to the highly dynamic nature of transcription, live-cell imaging methods play a crucial role in measuring the kinetics of this process. For instance, transcriptional bursts have been visualized using fluorescent phage-coat proteins that associate tightly with mRNA stem loops formed on nascent transcripts. To convert the signal emanating from a transcription site into meaningful estimates of transcription dynamics, the influence of various parameters on the measured signal must be evaluated. Here, the effect of gene length on the intensity of the transcription site focus was analyzed. Intuitively, a longer gene can support a larger number of transcribing polymerases, thus leading to an increase in the measured signal. However, measurements of transcription induced by hyper-osmotic stress responsive promoters display independence from gene length. A mathematical model of the stress-induced transcription process suggests that the formation of gene loops that favor the recycling of polymerase from the terminator to the promoter can explain the observed behavior. One experimentally validated prediction from this model is that the amount of mRNA produced from a short gene should be higher than for a long one as the density of active polymerase on the short gene will be increased by polymerase recycling. Our data suggest that this recycling contributes significantly to the expression output from a gene and that polymerase recycling is modulated by the promoter identity and the cellular state. Take away - Quantification of stress-induced promoter transcription dynamics using a live assays reporter system displays no dependence of signal intensity with gene length. - Mathematical modeling predicts that the formation of gene loops leading to the recycling of polymerases can explain the observed behavior. - More prevalent polymerase recycling on short genes results in a higher transcriptional output.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.09.25.559364
- https://www.biorxiv.org/content/biorxiv/early/2023/09/25/2023.09.25.559364.full.pdf
- OA Status
- green
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387058311
Raw OpenAlex JSON
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https://openalex.org/W4387058311Canonical identifier for this work in OpenAlex
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https://doi.org/10.1101/2023.09.25.559364Digital Object Identifier
- Title
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Implication of polymerase recycling for nascent transcript quantification by live cell imagingWork title
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preprintOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-09-25Full publication date if available
- Authors
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Olivia Kindongo, Guillaume Lieb, Benjamin Skaggs, Yves Dusserre, Vincent Vincenzetti, Serge PeletList of authors in order
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https://doi.org/10.1101/2023.09.25.559364Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2023/09/25/2023.09.25.559364.full.pdfDirect link to full text PDF
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2023/09/25/2023.09.25.559364.full.pdfDirect OA link when available
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Terminator (solar), Transcription (linguistics), Promoter, RNA polymerase, RNA polymerase II, Polymerase, Gene, Transcription factories, Biology, Gene expression, Molecular biology, Cell biology, Genetics, RNA, Physics, Linguistics, Astronomy, Philosophy, IonosphereTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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68Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.1101/2023.09.25.559364 |
| primary_location.id | doi:10.1101/2023.09.25.559364 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306402567 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | False |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | bioRxiv (Cold Spring Harbor Laboratory) |
| primary_location.source.host_organization | https://openalex.org/I2750212522 |
| primary_location.source.host_organization_name | Cold Spring Harbor Laboratory |
| primary_location.source.host_organization_lineage | https://openalex.org/I2750212522 |
| primary_location.license | cc-by-nc-nd |
| primary_location.pdf_url | https://www.biorxiv.org/content/biorxiv/early/2023/09/25/2023.09.25.559364.full.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc-nd |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1101/2023.09.25.559364 |
| publication_date | 2023-09-25 |
| publication_year | 2023 |
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| abstract_inverted_index.- | 239, 261, 282 |
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| abstract_inverted_index.as | 192 |
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| abstract_inverted_index.DNA | 9 |
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| abstract_inverted_index.support | 103 |
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| abstract_inverted_index.various | 73 |
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| abstract_inverted_index.estimates | 66 |
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| abstract_inverted_index.measuring | 27 |
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| abstract_inverted_index.stress-induced | 139, 242 |
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| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5077381000 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| corresponding_institution_ids | https://openalex.org/I97565354 |
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| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |