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A global analysis of the complex landscape of isoforms and regulatory networks of p63 in human cells and tissues

Overview of attention for article published in BMC Genomics, August 2015
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Title
A global analysis of the complex landscape of isoforms and regulatory networks of p63 in human cells and tissues
Published in
BMC Genomics, August 2015
DOI 10.1186/s12864-015-1793-9
Pubmed ID
Authors

Isha Sethi, Rose-Anne Romano, Christian Gluck, Kirsten Smalley, Borivoj Vojtesek, Michael J. Buck, Satrajit Sinha

Abstract

The transcription factor p63 belongs to the p53/p63/p73 family and plays key functional roles during normal epithelial development and differentiation and in pathological states such as squamous cell carcinomas. The human TP63 gene, located on chromosome 3q28 is driven by two promoters that generate the full-length transactivating (TA) and N-terminal truncated (ΔN) isoforms. Furthermore alternative splicing at the C-terminus gives rise to additional α, β, γ and likely several other minor variants. Teasing out the expression and biological function of each p63 variant has been both the focus of, and a cause for contention in the p63 field. Here we have taken advantage of a burgeoning RNA-Seq based genomic data-sets to examine the global expression profiles of p63 isoforms across commonly utilized human cell-lines and major tissues and organs. Consistent with earlier studies, we find ΔNp63 transcripts, primarily that of the ΔNp63α isoforms, to be expressed in most cells of epithelial origin such as those of skin and oral tissues, mammary glands and squamous cell carcinomas. In contrast, TAp63 is not expressed in the majority of normal cell-types and tissues; rather it is selectively expressed at moderate to high levels in a subset of Burkitt's and diffuse large B-cell lymphoma cell lines. We verify this differential expression pattern of p63 isoforms by Western blot analysis, using newly developed ΔN and TA specific antibodies. Furthermore using unsupervised clustering of human cell lines, tissues and organs, we show that ΔNp63 and TAp63 driven transcriptional networks involve very distinct sets of molecular players, which may underlie their different biological functions. In this study we report comprehensive and global expression profiles of p63 isoforms and their relationship to p53/p73 and other potential transcriptional co-regulators. We curate publicly available data generated in part by consortiums such as ENCODE, FANTOM and Human Protein Atlas to delineate the vastly different transcriptomic landscapes of ΔNp63 and TAp63. Our studies help not only in dispelling prevailing myths and controversies on p63 expression in commonly used human cell lines but also augur new isoform- and cell type-specific activities of p63.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 23%
Student > Ph. D. Student 16 21%
Student > Doctoral Student 9 12%
Student > Master 6 8%
Student > Bachelor 5 7%
Other 10 13%
Unknown 12 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 40%
Agricultural and Biological Sciences 16 21%
Medicine and Dentistry 9 12%
Unspecified 1 1%
Immunology and Microbiology 1 1%
Other 3 4%
Unknown 15 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 August 2015.
All research outputs
#20,286,650
of 22,821,814 outputs
Outputs from BMC Genomics
#9,280
of 10,654 outputs
Outputs of similar age
#220,960
of 264,084 outputs
Outputs of similar age from BMC Genomics
#234
of 250 outputs
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