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Simultaneous profiling of 194 distinct receptor transcripts in human cells.
- Source :
-
Science signaling [Sci Signal] 2013 Aug 06; Vol. 6 (287), pp. rs13. Date of Electronic Publication: 2013 Aug 06. - Publication Year :
- 2013
-
Abstract
- Many signal transduction cascades are initiated by transmembrane receptors with the presence or absence and abundance of receptors dictating cellular responsiveness. We provide a validated array of quantitative reverse transcription polymerase chain reaction (qRT-PCR) reagents for high-throughput profiling of the presence and relative abundance of transcripts for 194 transmembrane receptors in the human genome. We found that the qRT-PCR array had greater sensitivity and specificity for the detected receptor transcript profiles compared to conventional oligonucleotide microarrays or exon microarrays. The qRT-PCR array also distinguished functional receptor presence versus absence more accurately than deep sequencing of adenylated RNA species by RNA sequencing (RNA-seq). By applying qRT-PCR-based receptor transcript profiling to 40 human cell lines representing four main tissues (pancreas, skin, breast, and colon), we identified clusters of cell lines with enhanced signaling capabilities and revealed a role for receptor silencing in defining tissue lineage. Ectopic expression of the interleukin-10 (IL-10) receptor-encoding gene IL10RA in melanoma cells engaged an IL-10 autocrine loop not otherwise present in this cell type, which altered signaling, gene expression, and cellular responses to proinflammatory stimuli. Our array provides a rapid, inexpensive, and convenient means for assigning a receptor signature to any human cell or tissue type.
- Subjects :
- Cell Line
Gene Expression Profiling methods
Humans
Oligonucleotide Array Sequence Analysis methods
Organ Specificity physiology
Receptors, Cell Surface genetics
Reverse Transcriptase Polymerase Chain Reaction methods
Sequence Analysis, RNA methods
RNA, Messenger biosynthesis
Receptors, Cell Surface biosynthesis
Signal Transduction physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1937-9145
- Volume :
- 6
- Issue :
- 287
- Database :
- MEDLINE
- Journal :
- Science signaling
- Publication Type :
- Academic Journal
- Accession number :
- 23921087
- Full Text :
- https://doi.org/10.1126/scisignal.2003624