Researchers have demonstrated a novel gene expression analysis technique that can accurately measure levels of RNA quickly and directly from a cancerous tissue sample while preserving the spatial information across the tissue --something that conventional methods cannot do. The team's gene expression technique is described in a paper published in the journal Nature Communications.
“Existing gene expression methods have limitations. They are cumbersome and slow, taking hours or even many days to do the analysis across just one tissue sample," said co-leader of the research team. "Our technique does the entire analysis across the tissue slice in two hours or less."
Existing methods can measure proteins, which are produced after genetic information or instructions have flowed from DNA and RNA. Those protein-measuring methods are complicated and require antibodies that don't exist for certain proteins.
"Our method can detect messenger RNA expression, which can provide additional insight than just the final protein concentration," said the co-lead.
The pixelated spatial gene expression tool can analyze an entire tissue sample and identify cancer cells in a process that takes less than two hours.
The team created a fingernail-size silicon chip that contains an array of more than 5,000 pyramid-shaped wells with razor-sharp edges. When a centimeter-sized cancer tissue sample is placed on the chip it is automatically cut up into hundreds or thousands of tiny pieces that are analyzed in parallel using an existing technology known as loop mediated isothermal amplification (LAMP).
According to the author, once the tissue is cut and placed into the underlying wells on the microchip, thousands of independent picoliter volume LAMP reactions are performed in each well directly from the tissue without the need for any analyte purification.
"Laser capture microdissection (LCM) followed by downstream purification and amplification has been used in the past to look at specific regions of stained tissue samples and analyze the heterogeneity within the sample," author said. "Our technique is similar to performing more than 5,000 LCM steps with the downstream amplification in a single step on a microchip."
Authors demonstrated the new technique using frozen human prostate tissue xenografts grown in mice. In less than two hours, they were able to amplify and analyze the mRNA of TOP2A, a nuclear enzyme and known marker of prostate cancer's aggressiveness.
"Our approach pixelates the entire tissue sample and can identify those very few cells that may be cancerous," said the co-lead. "There isn't any technique in existence that takes raw tissue to nucleic acid amplification while keeping the spatial information preserved."
The new technique may also be useful someday for helping physicians and pathologists determine tumor margins, which could enhance the outcome of cancer surgeries.
The team continues to work on the gene expression technique and aims to use it to map genetic mutations for lung and breast cancers, in addition to prostate cancer. They are also working to reduce the size of the wells on the chip below the current 100 x 100 microns. This modification will result in being able to examine individual cells at higher resolution.