High-Throughput Simultaneous Analysis of RNA, Protein, and Lipid Biomarkers in Heterogeneous Tissue Samples.

Reiser, V., Smith, R.C., Xue, J., Kurtz, M.M., Liu, R., Legrand, C., He, X., Yu, X., Wong, P., Hinchcliffe, J.S., Tanen, M.R., Lazar, G., Zieba, R., Ichetovkin, M., Chen, Z., O'Neill, E.A., Tanaka, W.K., Marton, M.J., Liao, J., Morris, M., Hailman, E., Tokiwa, G.Y., Plump, A.S.

Journal	Clin Chem.	Year	2011
Species	Human	Volume	57 (11)
Analytes Measured	CD68, CRP, ICAM-1, IL-1β, IL-6, MCP-1, MIP-1α, Myeloperoxidase, RANTES, TNF-RII	Page #	1545-1555
Matrix Tested	Tissue homogenate supernatants	Category	Cytokines & Chemokines

Abstract

BACKGROUND: With expanding biomarker discovery efforts and increasing costs of drug development, it is critical to maximize the value of mass-limited clinical samples. The main limitation of available methods is the inability to isolate and analyze, from a single sample, molecules requiring incompatible extraction methods. Thus, we developed a novel semiautomated method for tissue processing and tissue milling and division (TMAD).

METHODS: We used a SilverHawk atherectomy catheter to collect atherosclerotic plaques from patients requiring peripheral atherectomy. Tissue preservation by flash freezing was compared with immersion in RNAlater®, and tissue grinding by traditional mortar and pestle was compared with TMAD. Comparators were protein, RNA, and lipid yield and quality. Reproducibility of analyte yield from aliquots of the same tissue sample processed by TMAD was also measured.

RESULTS: The quantity and quality of biomarkers extracted from tissue prepared by TMAD was at least as good as that extracted from tissue stored and prepared by traditional means. TMAD enabled parallel analysis of gene expression (quantitative reverse-transcription PCR, microarray), protein composition (ELISA), and lipid content (biochemical assay) from as little as 20 mg of tissue. The mean correlation was r = 0.97 in molecular composition (RNA, protein, or lipid) between aliquots of individual samples generated by TMAD. We also demonstrated that it is feasible to use TMAD in a large-scale clinical study setting.

CONCLUSIONS: The TMAD methodology described here enables semiautomated, high-throughput sampling of small amounts of heterogeneous tissue specimens by multiple analytical techniques with generally improved quality of recovered biomolecules.