The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Polyadenylic Acid Sequences: Role in Conversion of Nuclear RNA into Messenger RNA
Abstract
Polyadenylic acid [poly(A)] segments containing 150 to 250 nucleotides appear to be covalently linked to heterogeneous nuclear RNA (HnRNA) and messenger RNA (mRNA) in eucaryotic cells. The poly(A) is synthesized in the nucleus, and is probably linked initially to HnRNA that is ultimately transported as mRNA to the cytoplasm. Studies with inhibitors of RNA or poly(A) synthesis indicate that synthesis of poly(A) segments is independent of transcription. The poly(A) marker may prove useful to elucidate mRNA modification and transport in eucaryotic cells.
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
Edmonds, M., Vaughan, M. H., & Nakazato, H. (1971) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.68.6.1336 · Cited by 510
Cited by
Organization, Transcription, and Regulation in the Animal Genome
Davidson, E. H., & Britten, R. J. (1973) · The Quarterly Review of Biology · doi:10.1086/407817 · Cited by 451
Berger, S. L., & Birkenmeier, C. S. (1979) · Biochemistry · doi:10.1021/bi00590a018 · Cited by 443
Determinants and implications of mRNA poly(A) tail size – Does this protein make my tail look big?
Jalkanen, A. L., Coleman, S. J., & Wilusz, J. (2014) · Seminars in Cell & Developmental Biology · doi:10.1016/j.semcdb.2014.05.018 · Cited by 154
Meiotic maturation in Xenopus requires polyadenylation of multiple mRNAs
Barkoff, A., Ballantyne, S., & Wickens, M. (1998) · The EMBO Journal · doi:10.1093/emboj/17.11.3168 · Cited by 93
Metadata
- Authors
- Darnell, J. E., Philipson, L., Wall, R., & Adesnik, M.
- Venue
- Science
- Published
- 1971-10-29
- Volume
- 174
- Issue
- 4008
- Pages
- 507-510
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2081034153
- Cited by
- 563
- References
- 1
- FWCI
- 45.76
- Type
- journal article
- Language
- en
- Open access
- closed
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: Polyadenylic Acid Sequences: Role in Conversion of Nuclear RNA into Messenger RNA. https://app.cochat.ai/papers/10.1126/science.174.4008.507
- The paper
- Darnell, J. E., Philipson, L., Wall, R., & Adesnik, M. (1971). Polyadenylic Acid Sequences: Role in Conversion of Nuclear RNA into Messenger RNA. Science. https://doi.org/10.1126/science.174.4008.507
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.