Application of biclustering of gene expression data and gene set enrichment analysis methods to identify potentially disease causing nanomaterials

• Andrew Williams and
• Sabina Halappanavar

Beilstein J. Nanotechnol. 2015, 6, 2438–2448, doi:10.3762/bjnano.6.252

• biclusters were identified for the matrix representing the down-regulated genes. NM-induced lung response data sets The data sets examining differential gene expression in mouse lung exposed to CB, nano-TiO2 or CNTs were compiled from GEO. Since this is a proof-of-concept study, the investigation was limited

Molecular biology approaches in bioadhesion research

• Marcelo Rodrigues,
• Birgit Lengerer,
• Thomas Ostermann and
• Peter Ladurner

Beilstein J. Nanotechnol. 2014, 5, 983–993, doi:10.3762/bjnano.5.112

• temporary adhesives that contain a significant carbohydrate fraction usually also rely on proteins for adhesion. Review 1. Transcriptome sequencing and differential gene expression 1.1 What is a transcriptome? A transcriptome represents the entirety of RNA molecules expressed in an organism, a tissue or a

• validate the expression of an adhesion-related candidate transcript list that resulted from previous mass spectrometry or differential gene expression experiments. For high-throughput approaches, in situ robots such as “InsituPro VSi” from Invatis AG are available. For medium scale ISH screenings, a manual

• and allows their expression and function to be studied. Nowadays, even a small research group can use high-throughput sequencing platforms to generate a transcriptome of an organism. Differential gene expression can be highly useful to narrow down the number of candidate transcripts. In order to