Novel high-throughput technologies such as next-generation sequencing are currently revolutionising the life sciences. These methods enable researchers to investigate biological processes at an unexampled depth and level of detail.
The specialised staff of the Core Unit Systems Medicine operates next generation sequencers, microarray platforms and bioformatics pipelines, and maintains a fully equipped lab to perform a variety of genomics- and other “omics” applications - from sample preparation to data analysis. The unit was amongst others established to support researchers to process DNA, RNA and other biological samples in an efficient and economical manner. By centralizing equipment and expertise, overall expense of the university was dramatically decreased, while increasing the quality of the data generated.
Nucleic Acid Sequencing
We offer support of your research from design of your high-throughput sequencing project, experimental execution to bioinformatic primary data analysis. For sequencing we use devices from Illumina like the NextSeq500 or HiSeq2500.
Details will be discussed during our first meeting.
Our group additionally supports you during the bioinformatic analysis of specific questions, e.g. panel, exome and genome sequencing, bisulfite sequencing (DNA methylation analysis) and transcriptome sequencing. Further expertise in data analysis can be offered, e.g. to support you in gene regulation analyses, genetic association analyses and further applications.
Currently, single-cell analyses, in particular those of the transcriptome, revolutionize our understanding of biological processes. Recently, we have developed various lab protocols and data analysis pipelines to work with various biological materials.
Our spectrum comprises:
- Isolation of single cells, microdissection
- Single-cell analysis, in particular optimization of protocols for DNA/RNA sequencing from single cells
- Technological advice on 'microfluidic systems' (microfluidics)
- Data validation using single-cell qPCR and FISH
- Single-cell protein marker detection using FACS
- Mapping, gene expression and multivariate data analysis of cell populations
Single-cell genomic analyses are very recent technologies and not routine processes. Details on possible applications will be discussed during our first meeting.