The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
A code for transcription initiation in mammalian genomes
Open accessAbstract
Genome-wide detection of transcription start sites (TSSs) has revealed that RNA Polymerase II transcription initiates at millions of positions in mammalian genomes. Most core promoters do not have a single TSS, but an array of closely located TSSs with different rates of initiation. As a rule, genes have more than one such core promoter; however, defining the boundaries between core promoters is not trivial. These discoveries prompt a re-evaluation of our models for transcription initiation. We describe a new framework for understanding the organization of transcription initiation. We show that initiation events are clustered on the chromosomes at multiple scales—clusters within clusters—indicating multiple regulatory processes. Within the smallest of such clusters, which can be interpreted as core promoters, the local DNA sequence predicts the relative transcription start usage of each nucleotide with a remarkable 91% accuracy, implying the existence of a DNA code that determines TSS selection. Conversely, the total expression strength of such clusters is only partially determined by the local DNA sequence. Thus, the overall control of transcription can be understood as a combination of large- and small-scale effects; the selection of transcription start sites is largely governed by the local DNA sequence, whereas the transcriptional activity of a locus is regulated at a different level; it is affected by distal features or events such as enhancers and chromatin remodeling.
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
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Heintzman, N. D., Stuart, R. K., Hon, G., Fu, Y., Ching, C. W., Hawkins, R. D., Barrera, L. O., Van Calcar, S., Qu, C., Ching, K. A., et al. (2007) · Nature Genetics · doi:10.1038/ng1966 · Cited by 3,398 · cited 1×
“…with recent studies showing that nucleosome positioning is predictable (Segal et al. 2006) and that TSSs can be inferred by chromatin signatures (Heintzman et al. 2007), our results suggest that an accurate model for genome-wide transcription-initiation events with nucleotide resolution is a…”
BackgroundUnderstanding diagnostic tests 3: receiver operating characteristic curves
Akobeng, A. K. (2007) · Acta Paediatrica · doi:10.1111/j.1651-2227.2006.00178.x · Cited by 1,882 · cited 2×
“5C); this is a receiver operating characteristic (ROC) curve, as reviewed in Akobeng (2007).”
BackgroundMethodGenome-wide analysis of mammalian promoter architecture and evolution
Carninci, P., Sandelin, A., Lenhard, B., Katayama, S., Shimokawa, K., Ponjavic, J., Semple, C. A. M., Taylor, M. S., Engström, P. G., Frith, M. C., et al. (2006) · Nature Genetics · doi:10.1038/ng1789 · Cited by 1,350
Self-citationKimura, K., Wakamatsu, A., Suzuki, Y., Ota, T., Nishikawa, T., Yamashita, R., Yamamoto, J.-I., Sekine, M., Tsuritani, K., Wakaguri, H., et al. (2006) · Genome Research · doi:10.1101/gr.4039406 · Cited by 506
Cited by
Single-nucleotide-resolution mapping of m6A and m6Am throughout the transcriptome
Linder, B., Grozhik, A. V., Olarerin-George, A. O., Meydan, C., Mason, C. E., & Jaffrey, S. R. (2015) · Nature Methods · doi:10.1038/nmeth.3453 · Cited by 1,569
Regulation of gene expression via the core promoter and the basal transcriptional machinery
Juven-Gershon, T., & Kadonaga, J. T. (2010) · Developmental Biology · doi:10.1016/j.ydbio.2009.08.009 · Cited by 490
The FANTOM Consortium, & Riken Omics Science Center (2009) · Nature Genetics · doi:10.1038/ng.375 · Cited by 427
The RNA polymerase II core promoter — the gateway to transcription
Juven-Gershon, T., Hsu, J.-Y., Theisen, J. W., & Kadonaga, J. T. (2008) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2008.03.003 · Cited by 367
A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters
Demircioğlu, D., Cukuroglu, E., Kindermans, M., Nandi, T., Calabrese, C., Fonseca, N. A., Kahles, A., Lehmann, K.-V., Stegle, O., Brazma, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.08.018 · Cited by 250
Metadata
- Authors
- Frith, M. C., Valen, E., Krogh, A., Hayashizaki, Y., Carninci, P., & Sandelin, A.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2007-11-21
- Volume
- 18
- Issue
- 1
- Pages
- 1-12
- ISSN
- 1088-9051 (ISSN-L)
- OpenAlex
- W2064390432
- Cited by
- 277
- References
- 5
- Type
- posted content
- Language
- en
- Open access
- green
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: A code for transcription initiation in mammalian genomes. https://app.cochat.ai/papers/10.1101/gr.6831208
- The paper
- Frith, M. C., Valen, E., Krogh, A., Hayashizaki, Y., Carninci, P., & Sandelin, A. (2008). A code for transcription initiation in mammalian genomes. Genome Research. https://doi.org/10.1101/gr.6831208
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.