Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 563

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Yeast DNA Polymerase ε Participates in Leading-Strand DNA Replication

Open access
Pursell, Zachary F., Isoz, Isabelle, Lundström, Else-Britt, Johansson, Erik, Kunkel, Thomas A.·2007·Science

Abstract

Multiple DNA polymerases participate in replicating the leading and lagging strands of the eukaryotic nuclear genome. Although 50 years have passed since the first DNA polymerase was discovered, the identity of the major polymerase used for leading-strand replication is uncertain. We constructed a derivative of yeast DNA polymerase ϵ that retains high replication activity but has strongly reduced replication fidelity, particularly for thymine-deoxythymidine 5'-monophosphate (T-dTMP) but not adenine-deoxyadenosine 5'-monophosphate (A-dAMP) mismatches. Yeast strains with this DNA polymerase ϵ allele have elevated rates of T to A substitution mutations. The position and rate of these substitutions depend on the orientation of the mutational reporter and its location relative to origins of DNA replication and reveal a pattern indicating that DNA polymerase ϵ participates in leading-strand DNA replication.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1126/science.1144067

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 1 references

Cited by

See all 563

Metadata

Authors
Pursell, Z. F., Isoz, I., Lundström, E.-B., Johansson, E., & Kunkel, T. A.
Venue
Science
Published
2007-07-06
Volume
317
Issue
5834
Pages
127-130
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2059184834
Cited by
563
References
1
FWCI
13.17
Type
journal article
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: Yeast DNA Polymerase ε Participates in Leading-Strand DNA Replication. https://app.cochat.ai/papers/10.1126/science.1144067
The paper
Pursell, Z. F., Isoz, I., Lundström, E.-B., Johansson, E., & Kunkel, T. A. (2007). Yeast DNA Polymerase ε Participates in Leading-Strand DNA Replication. Science. https://doi.org/10.1126/science.1144067

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.