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Out-Edges 5

bp(HBP:HBP00077) increases p(HBP:HBP00063) View Subject | View Object

The APP gene is located on chromosome 21 in humans with three major isoforms arising from alternative splicing [3]. These are APP695, APP751 and APP770 (containing 695, 751, and 770 amino acids, respectively) PubMed:21214928

Annotations
Confidence
High

bp(HBP:HBP00077) increases p(HBP:HBP00064) View Subject | View Object

The APP gene is located on chromosome 21 in humans with three major isoforms arising from alternative splicing [3]. These are APP695, APP751 and APP770 (containing 695, 751, and 770 amino acids, respectively) PubMed:21214928

Annotations
Confidence
High

bp(HBP:HBP00077) increases p(HBP:HBP00065) View Subject | View Object

The APP gene is located on chromosome 21 in humans with three major isoforms arising from alternative splicing [3]. These are APP695, APP751 and APP770 (containing 695, 751, and 770 amino acids, respectively) PubMed:21214928

Annotations
Confidence
High

bp(HBP:HBP00077) increases a(HBP:HBP00063) View Subject | View Object

Although alternative splicing of transcripts from the single APP gene results in several isoforms of the gene product, APP695, whose encoding cDNA lacks the gene sequence from exons 7 and 8, is preferentially expressed in neurons (Sandbrink et al. 1994) PubMed:22122372

bp(HBP:HBP00077) increases a(HBP:HBP00064) View Subject | View Object

APP751, lacking exon 8, and APP770, encoded with all 18 exons, are predominant variants elsewhere (Yoshikai et al. 1990) PubMed:22122372

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BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.