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Cited by 555

The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.

Menin Critically Links MLL Proteins with LEDGF on Cancer-Associated Target Genes

Open access
Yokoyama, Akihiko, Cleary, Michael L.·2008·Cancer Cell

Abstract

Summary Menin displays the unique ability to either promote oncogenic function in the hematopoietic lineage or suppress tumorigenesis in the endocrine lineage, however its molecular mechanism of action has not been defined. We demonstrate here that these discordant functions are unified by menin's ability to serve as a molecular adaptor that physically links the MLL histone methyltransferase with LEDGF, a chromatin-associated protein previously implicated in leukemia, auto-immunity and HIV-1 pathogenesis. LEDGF is required for both MLL-dependent transcription and leukemic transformation. Conversely, a subset of menin mutations in MEN1 patients abrogates interaction with LEDGF while preserving MLL interaction, but nevertheless compromises MLL/menin-dependent functions. Thus, LEDGF critically associates with MLL and menin at the nexus of transcriptional pathways that are recurrently targeted in diverse diseases.

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Crossref · 10.1016/j.ccr.2008.05.003

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Metadata

Authors
Yokoyama, A., & Cleary, M. L.
Venue
Cancer Cell
Publisher
Elsevier BV
Published
2008-07
Volume
14
Issue
1
Pages
36-46
ISSN
1535-6108 (ISSN-L)
OpenAlex
W2094799740
Cited by
555
References
61
FWCI
13.15
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Menin Critically Links MLL Proteins with LEDGF on Cancer-Associated Target Genes. https://app.cochat.ai/papers/10.1016/j.ccr.2008.05.003
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Yokoyama, A., & Cleary, M. L. (2008). Menin Critically Links MLL Proteins with LEDGF on Cancer-Associated Target Genes. Cancer Cell. https://doi.org/10.1016/j.ccr.2008.05.003

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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.