Volume 3, Issue 4, Pages (April 2003)

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Calibration and Normalization of Protein Microarray Data Charlene Liang 1*, Virginia Espina 2, Julia Wulfkuhle 2, Emanuel F. Petricoin 3 III and Lance.
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Volume 3, Issue 4, Pages 317-325 (April 2003) Protein microarrays: Meeting analytical challenges for clinical applications  Lance A Liotta, Virginia Espina, Arpita I Mehta, Valerie Calvert, Kevin Rosenblatt, David Geho, Peter J Munson, Lynn Young, Julia Wulfkuhle, Emanuel F Petricoin  Cancer Cell  Volume 3, Issue 4, Pages 317-325 (April 2003) DOI: 10.1016/S1535-6108(03)00086-2

Figure 1 Classes of protein microarray platforms Forward phase arrays (top) immobilize a bait molecule such as an antibody designed to capture specific analytes with a mixture of test sample proteins. The bound analytes are detected by a second sandwich antibody, or by labeling the analyte directly (upper right). Reverse phase arrays immobilize the test sample analytes on the solid phase. An analyte-specific ligand (e.g., antibody; lower left) is applied in solution phase. Bound antibodies are detected by secondary tagging and signal amplification (lower right). Cancer Cell 2003 3, 317-325DOI: (10.1016/S1535-6108(03)00086-2)

Figure 2 Reverse phase array design applied to analyze phosphorylation states of signal pathway proteins Following tissue procurement and microdissection, the cancer cells are lysed and the entire cellular proteomic repertoire is immobilized onto a solid phase. The immobilized analyte proteins containing those phosphorylated during signal transduction are probed with two classes of antibodies that specifically recognize (1) the phosphorylated (modified) form of the protein, or (2) the total protein regardless of its modified state. Each test sample S1–S4 is arrayed and immobilized in a miniature dilution curve. Upon signal development and imaging, the relative proportion of the analyte protein molecules, which are phosphorylated, can be compared between test samples on the same array. For example, S3 has a low ratio of phosphorylated to total protein, while sample S4 has a high ratio. Cancer Cell 2003 3, 317-325DOI: (10.1016/S1535-6108(03)00086-2)

Figure 3 Validation of reverse phase protein microarrays for microdissected lysates A: Annexin-1 stained slide of triplicate arrayed dilution curves ranging over one log of cellular equivalents loaded per spot. B: Linearity between immobilized protein lysate and signal intensity between seven replicate slides. C: Intra- and interspot coefficient of variance % CV. RFU, relative fluorescence units. See Paweletz et al., 2001. Cancer Cell 2003 3, 317-325DOI: (10.1016/S1535-6108(03)00086-2)

Figure 5 Scanning and bioinformatic analysis of reverse phase arrays The example shown displays a cluster analysis of microdissected human breast cancer and normal breast epithelium (vertical axis) compared across the phosphorylation states of a series of proteins within the EGF-receptor family signal pathway (horizontal axis lower right). The data collection steps depicted are described in the text. Cancer Cell 2003 3, 317-325DOI: (10.1016/S1535-6108(03)00086-2)

Figure 4 Idealized reverse phase array format Triplicate samples are printed in dilution curves representing undiluted, 1:2, 1:4, 1:8, and 1:16 dilutions. The sixth spot represents a negative control, consisting of extraction buffer without sample. Each set of triplicate spots represents a patient sample before or after treatment, or microdissected normal, premalignant, or stromal tissue cells. A reference lysate or control lysate is printed on each array for monitoring assay performance. A recombinant antigen is printed on each array for comparative quantitation of patient samples. Altering spot size and/or spot spacing may vary array capacity. Cancer Cell 2003 3, 317-325DOI: (10.1016/S1535-6108(03)00086-2)