July 23, 2012
New Genomic Sequencing Method Enables ‘Smarter’ Analysis Of Individual Cells
Applications include studying single cells that form malignant tumors
Only by viewing a Seurat painting at close range can you appreciate the hidden complexities of pointillism — small, distinct dots of pure color applied in patterns to form an image from a distance. Similarly, biologists and geneticists have long sought to analyze profiles of genes at the single cell level but technology limitations have only allowed a view from afar until now.
"While our results are preliminary, we showed that it is possible to do studies of individual, clinically relevant cells," says biomedical scientist Rickard Sandberg, researcher at the Ludwig Institute for Cancer Research and principal investigator at the Department of Cell and Molecular Biology, Karolinska Institutet. "Cancer researchers around the world will now be able to analyze these cells more systematically to enable them to produce better methods of diagnosis and therapy in the future."
Previous research showed that it is common for one gene to give rise to several forms of the same protein through different cut-and-paste configurations of its raw copy. The phenomenon, known as splicing, means that cells from the same tissue are not so homogenous as previously thought.
The research team has now taken its study a step further and developed a method for the complete mapping of the gene expression of individual cells. In showing which genes are active, it is now possible to accurately describe and study differences in gene expression between individual cells from the same tissue.
"Scientists have been waiting for a long time for such a method to come along, but technical limitations have made it difficult to produce a sufficiently sensitive and robust method," says Dr. Sandberg. "The method has several areas of applications including cancer research where it can be used to study which cell types form cancer tumors in individual patients."
In the study, scientists studied tumor cells in the blood system of a patient with recurring malignant melanoma. Once they had identified the tumor cells in a regular blood test, the team used Smart-Seq to analyze their gene expression. By using this method, researchers could show that the tumor cells had activated many important membrane proteins that are understood to be responsible for their ability to evade the body's monitoring system and spread in the blood or lymph.
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