GeneSapiens: A Database for Human Gene Expression Analysis
Author Information
Author(s): Sami Kilpinen, Reija Autio, Kalle Ojala, Kristiina Iljin, Elmar Bucher, Henri Sara, Tommi Pisto, Matti Saarela, Rolf I. Skotheim, Mari Björkman, John-Patrick Mpindi, Saija Haapa-Paananen, Paula Vainio, Henrik Edgren, Maija Wolf, Jaakko Astola, Matthias Nees, Sampsa Hautaniemi, Olli Kallioniemi
Primary Institution: VTT Technical Research Centre and University of Turku
Hypothesis
How can we effectively compare mRNA expression levels of human genes across various tissues and diseases?
Conclusion
The GeneSapiens database provides a comprehensive resource for analyzing gene expression across a wide range of human tissues and diseases.
Supporting Evidence
- The database integrates data from 157 studies involving 9,783 human specimens.
- It covers 43 normal tissue types, 68 cancer types, and 64 other diseases.
- The normalization method developed improves comparability across different Affymetrix array generations.
- Known tissue-specific genes showed expected expression profiles, validating the database's accuracy.
Takeaway
This study created a big database that helps scientists see how genes work in different parts of the body and in diseases.
Methodology
The study involved systematic bioinformatic analysis of mRNA expression levels from 9,783 samples across various human tissues and diseases.
Potential Biases
Potential biases may arise from the integration of data from different microarray platforms.
Limitations
The study may not capture all variations due to the limitations of the microarray technologies used.
Participant Demographics
The samples included 43 normal tissue types, 68 cancer types, and 64 other diseases.
Digital Object Identifier (DOI)
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