The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Global RNA Half-Life Analysis in Escherichia coli Reveals Positional Patterns of Transcript Degradation
Open accessAbstract
Subgenic-resolution oligonucleotide microarrays were used to study global RNA degradation in wild-type Escherichia coli MG1655. RNA chemical half-lives were measured for 1036 open reading frames (ORFs) and for 329 known and predicted operons. The half-life of total mRNA was 6.8 min under the conditions tested. We also observed significant relationships between gene functional assignments and transcript stability. Unexpectedly, transcription of a single operon (tdcABCDEFG) was relatively rifampicin-insensitive and showed significant increases 2.5 min after rifampicin addition. This supports a novel mechanism of transcription for the tdc operon, whose promoter lacks any recognizable ς binding sites. Probe by probe analysis of all known and predicted operons showed that the 5′ ends of operons degrade, on average, more quickly than the rest of the transcript, with stability increasing in a 3′ direction, supporting and further generalizing the current model of a net 5′ to 3′ directionality of degradation. Hierarchical clustering analysis of operon degradation patterns revealed that this pattern predominates but is not exclusive. We found a weak but highly significant correlation between the degradation of adjacent operon regions, suggesting that stability is determined by a combination of local and operon-wide stability determinants. The 16 ORF dcw gene cluster, which has a complex promoter structure and a partially characterized degradation pattern, was studied at high resolution, allowing a detailed and integrated description of its abundance and degradation. We discuss the application of subgenic resolution DNA microarray analysis to study global mechanisms of RNA transcription and processing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
Structural Mechanism for Rifampicin Inhibition of Bacterial RNA Polymerase
Campbell, E. A., Korzheva, N., Mustaev, A., Murakami, K., Nair, S., Goldfarb, A., & Darst, S. A. (2001) · Cell · doi:10.1016/s0092-8674(01)00286-0 · Cited by 1,556 · cited 2×
“This supports a novel mechanism of transcription for the tdc operon, whose promoter lacks any recognizable binding sites.”
BackgroundInfluential
Cited by
Insights into the regulation of protein abundance from proteomic and transcriptomic analyses
Vogel, C., & Marcotte, E. M. (2012) · Nature Reviews Genetics · doi:10.1038/nrg3185 · Cited by 4,195
Global Functional Atlas of Escherichia coli Encompassing Previously Uncharacterized Proteins
Hu, P., Janga, S. C., Babu, M., Díaz-Mejía, J. J., Butland, G., Yang, W., Pogoutse, O., Guo, X., Phanse, S., Wong, P., et al. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000096 · Cited by 387
An E. coli Cell-Free Expression Toolbox: Application to Synthetic Gene Circuits and Artificial Cells
Shin, J., & Noireaux, V. (2012) · ACS Synthetic Biology · doi:10.1021/sb200016s · Cited by 386
Moran, M. A., Satinsky, B., Gifford, S. M., Luo, H., Rivers, A., Chan, L.-K., Meng, J., Durham, B. P., Shen, C., Varaljay, V. A., et al. (2013) · The ISME Journal · doi:10.1038/ismej.2012.94 · Cited by 353
Impact of genome reduction on bacterial metabolism and its regulation
Yus, E., Maier, T., Michalodimitrakis, K., van Noort, V., Yamada, T., Chen, W.-H., Wodke, J. A. H., Güell, M., Martínez, S., Bourgeois, R., et al. (2009) · Science · doi:10.1126/science.1177263 · Cited by 327
Metadata
- Authors
- Selinger, D. W., Saxena, R. M., Cheung, K. J., Church, G. M., & Rosenow, C.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2003-01-14
- Volume
- 13
- Issue
- 2
- Pages
- 216-223
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- OpenAlex
- W2147256329
- Cited by
- 359
- References
- 2
- Type
- posted content
- Language
- en
- Open access
- bronze
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Global RNA Half-Life Analysis in Escherichia coli Reveals Positional Patterns of Transcript Degradation. https://app.cochat.ai/papers/10.1101/gr.912603
- The paper
- Selinger, D. W., Saxena, R. M., Cheung, K. J., Church, G. M., & Rosenow, C. (2003). Global RNA Half-Life Analysis in Escherichia coli Reveals Positional Patterns of Transcript Degradation. Genome Research. https://doi.org/10.1101/gr.912603
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.