ExpressionData - A public resource of high quality curated datasets representing gene expression across anatomy, development and experimental conditions.
Philip Zimmermann, Stefan Bleuler, Oliver Laule, Florian Martin, Nikolai V Ivanov, Prisca Campanoni, Karen Oishi, Nicolas Lugon-Moulin, Markus Wyss, Tomas Hruz, Wilhelm Gruissem
Author Information
Philip Zimmermann: NEBION AG, Hohlstrasse 515, 8048 Zurich, Switzerland.
Stefan Bleuler: NEBION AG, Hohlstrasse 515, 8048 Zurich, Switzerland.
Oliver Laule: NEBION AG, Hohlstrasse 515, 8048 Zurich, Switzerland.
Florian Martin: Philip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Nikolai V Ivanov: Philip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Prisca Campanoni: Philip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Karen Oishi: Philip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Nicolas Lugon-Moulin: Philip Morris International R&D, Quai Jeanrenaud 5, 2003 Neuchatel, Switzerland.
Markus Wyss: NEBION AG, Hohlstrasse 515, 8048 Zurich, Switzerland.
Tomas Hruz: Institute of Theoretical Computer Science, ETH Zurich, 8092 Zurich, Switzerland.
Wilhelm Gruissem: Department of Biology, ETH Zurich, 8092 Zurich, Switzerland.
Reference datasets are often used to compare, interpret or validate experimental data and analytical methods. In the field of gene expression, several reference datasets have been published. Typically, they consist of individual baseline or spike-in experiments carried out in a single laboratory and representing a particular set of conditions. Here, we describe a new type of standardized datasets representative for the spatial and temporal dimensions of gene expression. They result from integrating expression data from a large number of globally normalized and quality controlled public experiments. Expression data is aggregated by anatomical part or stage of development to yield a representative transcriptome for each category. For example, we created a genome-wide expression dataset representing the FDA tissue panel across 35 tissue types. The proposed datasets were created for human and several model organisms and are publicly available at http://www.expressiondata.org.
References
J Plant Physiol. 2012 May 1;169(7):744-8
[PMID: 22341570]
