|Limit of detection||≤ 1,000–2,000 transcripts/assay well|
|Limit of quantitation||≤ 2,000–4,000 transcripts/assay well|
|Linear dynamic range||≥ 3.0 logs|
|Assay CV||≤ 15% intra-assay; ≤ 20% inter-assay|
|Compatible sample types|| Cultured cells, bacteria, whole blood,
PAXgene blood or dried blood spots,
fresh/frozen tissues (animal or plant),
FFPE samples, purified RNA
|Assay format||96-well plate|
|Targets/well|| 2–80 for RNA, or DNA
Classification of breast cancer cell lines
The QuantiGene Plex Gene Expression Assay was used to classify a library of breast cancer cell lines that represents recurrent genetic abnormalities as well as biological variability in primary breast cancer tumors (Figure 1). The data demonstrate strong correlation of the cell lines into basal or luminal subtypes and thus can be utilized to predict response to new drugs for these subtypes of breast cancer.
Figure 1. A 12-plex RNA measurement from the cell lines was derived using the QuantiGene Plex Gene Expression Assay and their normalized gene expression levels were plotted using a heat map. Data courtesy of Nicholas Wang, Joe Gray, Lawrence Berkeley National Laboratories, Department of Cancer & DNA Damage Responses.
Note: Joe Gray is now with the Oregon Health & Science University, Department of Biomendial Engineering.
Analysis of protein and gene expression from the same sample using ProcartaPlex multiplex immunoassays and Quanitgene plex gene expression assays
Human histocytic lymphoma cells, U-937, were treated with 1 μg/mL of LPS. At various time points, cells culture supernatants samples were collected and the corresponding cells were lysed. The supernatants were analyzed for 20 different cytokines using ProcartaPlex Multiplex Immunoassay. The cell lysates were analyzed for 30 different cytokines using QuantiGene Plex Gene Expression Assays. The results of protein and gene analysis of two cytokines, IL-8 and IL-1β, are shown below.
For Research Use Only. Not for use in diagnostic procedures.