Supplementary Materials for:

Simultaneous Profiling of 194 Distinct Receptor Transcripts in Human Cells

Byong H. Kang, Karin J. Jensen, Jaime A. Hatch, Kevin A. Janes*

*Corresponding author. E-mail: kjanes@virginia.edu

This PDF file includes:

• Fig. S1. Receptome profiling is consistently reproducible across assay duplicates.
• Fig. S2. RNA-seq is consistently reproducible across assay duplicates with sensitivity that depends on sequencing depth.
• Fig. S3. Receptor discrepancies between qRT-PCR and RNA-seq in cancer cells are enriched for retained intronic sequences.
• Fig. S4. One-way hierarchical clustering of relative receptor abundances in 40 cell lines obtained by receptome profiling.
• Fig. S5. Two-way hierarchical clustering of relative receptor abundances in 40 cell lines obtained by receptome profiling.
• Fig. S6. One-way hierarchical clustering of high-sensitivity present-absent calls in 40 cell lines obtained by receptome profiling.
• Fig. S7. Two-way hierarchical clustering of high-sensitivity present-absent calls in 40 cell lines obtained by receptome profiling.
• Fig. S8. Changes in receptor abundance in 293T and MCF7 cells upon stimulation with EGF, IFN-γ, IR, and TNF.
• Fig. S9. Relative receptor abundance and present-absent calls in human brain and muscle tissue.
• Table S1. Literature support for present calls in HT-29 cells.
• Legends for files S1 to S6
• References (101–112)

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Technical Details

Format: Adobe Acrobat PDF

Size: 1.78 MB

Other Supplementary Material for this manuscript includes the following:

• File S1 (Microsoft Excel format). Sequences of validated qRT-PCR primers for receptome profiling.
• File S2 (Microsoft Excel format). Comparison of present-absent calls obtained by receptome profiling and oligonucleotide microarrays for HT-29 cells exposed to IFN-γ.
• File S3 (Microsoft Excel format). Mean-centered cycle thresholds and present-absent calls of the signaling receptome in 40 human cell lines.
• File S4 (Microsoft Excel format). Response of 293T and MCF7 signaling receptomes to EGF, IFN-γ, IR, and TNF.
• File S5 (Microsoft Excel format). Signaling receptomes of primary human brain and muscle tissue.
• File S6 (.zip file). MATLAB software for present-absent calls and relative quantification.

[Download Files S1 to S6]

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Citation: B. H. Kang, K. J. Jensen, J. A. Hatch, K. A. Janes, Simultaneous Profiling of 194 Distinct Receptor Transcripts in Human Cells. Sci. Signal. 6, rs13 (2013).

© 2013 American Association for the Advancement of Science