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Structural analysis of the human BIN1 gene: Evidence for tissue-specific transcriptional regulation and alternate RNA splicing

  • Robert Wechsler-Reya
    ,
  • ,
  • Jing Zhang
    ,
  • James Duhadaway
    ,
  • George C. Prendergast(corresponding author)
*Corresponding author for this work
  • Wistar Institute
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

BIN1 is a putative tumor suppressor that was identified through its interaction with the MYC oncoprotein. To begin to identify elements of BIN1 whose alteration may contribute to malignancy, we cloned and characterize the human BIN1 gene and promoter. Nineteen exons were identified in a region of >54 kilobases, six of which were alternately spliced in a cell type-specific manner. One alternately spliced exon encodes part of the MYC-binding domain, suggesting that splicing controls the MYC-binding capacity of BIN1 polypeptides. Four other alternately spliced exons encode amphiphysin- related sequences that were included in brain-specific BIN1 species, also termed amphiphysin isoforms or amphiphysin II. The 5'-flanking region of BIN1 is GC-rich and lacks a TATA box but directs transcriptional initiation from a single site. A ~0.9-kilobase fragment from this region was sufficient for basal transcription and transactivation by MyoD, which may account for the high levels of BIN1 observed in skeletal muscle. This study lays the foundation for genetic and epigenetic investigations into the role of BIN1 in normal and neoplastic cell regulation.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 31453-31458 (6 pages)

Journal (Volume, Issue Number)

Journal of Biological Chemistry (Volume 272, Issue 50)

Publication milestones

  • Published - 12/12/1997

Publication status

Published - 12/12/1997

ISSN

0021-9258

Publication IDs

  • Scopus: 0031452446
  • PubMed: 9395479

Publication metrics

Metrics

Scopus
citations
SciVal
FWCI
1.83
SciVal
Author count
5
SciVal
citations
114
SciVal
Paper percentile
95
SciVal
Top percentile
5
Fractional count
1
Fractional count
0.20
Fractional count
4
Fractional count
0.80
Fractional count
1
Fractional count
1

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