Cited by 42PI3K/AKT/mTOR signaling in cancerMetabolism, Diabetes, and CancerProtein Kinase Regulation and GTPase Signaling

SnapShot: Class I PI3K Isoform Signaling

Open access
Fritsch, Ralph, Downward, Julian·2013·Cell

Integrity signals

Registry

Crossref · 10.1016/j.cell.2013.07.045

Cites

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Claims the paper makes

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Claims other papers make about this one

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  • The three classes of PI3Ks (I, II and III) differ in substrate specificity, and Class I PI3Ks selectively recognise and phosphorylate PI(4,5)P2.

    “The three classes (Classes I, II and III) of these enzymes differ in their substrate specificity; the Class I PI3Ks selectively recognises and phosphorylates PI(4,5)P2 (reviewed in [60–63]).”

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Authors
Fritsch, R., & Downward, J.
Affiliations
  • Cancer Research UK (GB)
  • Institute of Cancer Research (GB)
Venue
Cell
Publisher
Elsevier BV
Published
2013-08
Volume
154
Issue
4
Pages
940-940.e1
ISSN
0092-8674 (ISSN-L)
OpenAlex
W2055698355
Cited by
42
References
0
Citations by year
2026: 2 · 2025: 3 · 2024: 2 · 2023: 6 · 2022: 5 · 2021: 1 · 2020: 6 · 2019: 3 · 2018: 1 · 2017: 4 · 2016: 2 · 2015: 3 · 2014: 4
FWCI
1.34
Type
journal article
Language
en
Open access
Locations
  • Cell (publishedVersion)
  • PubMed (publishedVersion)
Funders
Cancer Research UK (15680)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Kinase Regulation and GTPase Signaling
Keywords
class I PI3K, PI3K isoforms, PI3K signaling, phosphatidylinositol 3-kinase
MeSH terms
Animals, Enzyme Activation, Isoenzymes, Phosphatidylinositols, Signal Transduction, Phosphatidylinositol 3-Kinases

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.

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