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New method provides better information on gene expression

Date:
July 1, 2016
Source:
Karolinska Institutet
Summary:
Scientists have devised a new high-resolution method for studying which genes are active in a tissue. The method can be used on all types of tissue and is valuable to both preclinical research and cancer diagnostics.
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Scientists at Karolinska Institutet and the Royal Institute of Technology (KTH) have devised a new high-resolution method for studying which genes are active in a tissue. The method can be used on all types of tissue and is valuable to both preclinical research and cancer diagnostics. The results are published in the journal Science.

Disease changes the expression of RNA molecules and proteins in tissues. Microscopic studies of tissue samples are routinely carried out in laboratories and hospitals in the interests of furthering knowledge and diagnostics, but to date only the location of a small number of RNA molecules has been possible to establish simultaneously.

A collaboration between professors Jonas Frisén (KI) and Joakim Lundeberg (KTH) at SciLifeLab has resulted in a novel method that allows analysis of the quantity of all RNA molecules and provides spatial information from the microscope.

“By placing tissue sections on a glass slide on which we have placed DNA strands with built in address labels we have been able to label the RNA molecules formed by active genes,” says Professor Frisén. “When we analyse the presence of RNA molecules in the sample, the address labels show where in the section the molecules were and we can get high-resolution information on where different genes are active.”

The results are also valuable for more precise diagnostics. Current practice is to take a tissue sample, grind it down and analyse the mix of cells, but the risk is that a few cancer cells become so diluted by the signals from all the other cells in the sample and are therefore overlooked.

“With our method, we can pick up the tumour signal as it is not diluted,” he continues. “Because different parts of the tissue sample have their specific address labels we can identify a small number of tumour cells.”

The method can be used on all types of tissue and diseases. It can also provide information about disease heterogeneity in cancer diagnostics, as is demonstrated in the study for breast cancer.

What do you hope your method will lead to?

“It makes it possible to study which genes are active in tissues with greater resolution and precision than ever before, which is valuable to both basic research and diagnostics,” says Professor Frisén.

The study was financed with grants from the Knut and Alice Wallenberg Foundation, the Swedish Foundation for Strategic Research, the Swedish Research Council, the Swedish Society, Karolinska Institutet, the Tobias Foundation, the Torsten Söderberg Foundation, the Ragnar Söderberg Foundation, StratRegen (the strategic research area in stem cell research and regenerative medicine at KI), the Åke Wiberg Foundation and the Jeanssons Foundations.


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Materials provided by Karolinska Institutet. Note: Content may be edited for style and length.


Journal Reference:

  1. P. L. Stahl, F. Salmen, S. Vickovic, A. Lundmark, J. F. Navarro, J. Magnusson, S. Giacomello, M. Asp, J. O. Westholm, M. Huss, A. Mollbrink, S. Linnarsson, S. Codeluppi, A. Borg, F. Ponten, P. I. Costea, P. Sahlen, J. Mulder, O. Bergmann, J. Lundeberg, J. Frisen. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science, 2016; 353 (6294): 78 DOI: 10.1126/science.aaf2403

Cite This Page:

Karolinska Institutet. "New method provides better information on gene expression." ScienceDaily. ScienceDaily, 1 July 2016. <www.sciencedaily.com/releases/2016/07/160701095439.htm>.
Karolinska Institutet. (2016, July 1). New method provides better information on gene expression. ScienceDaily. Retrieved May 23, 2017 from www.sciencedaily.com/releases/2016/07/160701095439.htm
Karolinska Institutet. "New method provides better information on gene expression." ScienceDaily. www.sciencedaily.com/releases/2016/07/160701095439.htm (accessed May 23, 2017).

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