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BioMed Research International
Volume 2014 (2014), Article ID 138350, 17 pages
http://dx.doi.org/10.1155/2014/138350
Research Article

Differential Gene Expression Profiling of Enriched Human Spermatogonia after Short- and Long-Term Culture

1Institute of Anatomy, University of Tübingen, Österbergstraße 3, 72074 Tübingen, Germany
2Institute for Anatomy and Cell Biology, Medical Faculty, University of Heidelberg, Im Neuenheimer Feld 307, 69120 Heidelberg, Germany
3Amol University of Special Modern Technologies, Special Modern Technologies, P.O. Box 46168-49767, Amol, Iran
4Department of Stem Cells and Developmental Biology, Royan Institute, P.O. Box 19395-4644, Tehran, Iran
5TATAA Biocenter AB, Odinsgatan 28, 41103 Göteborg, Sweden and Institute of Biotechnology at the Czech Academy of Sciences, Vídenská 1083, 14220 Prague 4, Czech Republic
6Institute of Anthropology and Human Genetics, Microarray Facility, University Clinic, Calwerstraße 7, 72076 Tübingen, Germany
7Department of Urology, University Clinic Tübingen, Hoppe-Seyler-Straße 3, 72076 Tübingen, Germany

Received 17 September 2013; Accepted 19 November 2013; Published 12 March 2014

Academic Editor: Irma Virant-Klun

Copyright © 2014 Sabine Conrad et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

In the supplements 7 Figures including detailed bar plots of Fluidigm real-time PCRs with germ, pluripotency and fibroblast-related gene expression profiling of htFibs, hES, hSSC are shown, followed by more volcano-blots and heat maps displaying various aspects of microarray analysis and real-time PCRs validating the microarray experiments. Furthermore Supplements Tables with patient’s data, experimental design and the most up-regulated genes in the different comparisons between htFibs, hESC and hSSC according to the microarray experiments are provided. In the Supplements methods section more details about data normalization for the microarray analysis and GenEX analysis for Fluidigm real-time PCR data are provided.

  1. Supplementary Materials