decoding clinical phenotypes
Customized Gene Expression Studies support your clinical research
SIRS-Lab offers project management and scientific support for fully customized gene expression studies.
Based on in-house expertise in functional genomics and bioinformatics, coupled with clinical experience, we deliver complete microarray analyses with regulatory compliant results.
We discover the biological mechanisms behind clinical phenotypes in your research.
This enables you to identify the molecular footprint of complex diseases and answer clinical questions on:
- Treatment response
- Drug action
- Class discovery
- Class prediction
your way to systems biology
You deliver
- A clinical question and samples
You receive
- Customized study design
- Profiling of whole genome transcriptional activities
- Project management
- Biostatistical analysis and report
- Hypothesis development input
High performance platform
The Illumina® gene expression profiling technology reaches the highest achievable parallelism to date.
With this platform we analyze the transcriptome of various kinds of biological samples (human and animal).
Illumina® platform benefits
- Whole genome expression of human & murine samples (46.000 genes & transcripts)
- High data quality due to a 30-fold redundancy of each transcript specific bead
- Highest grade of parallelisation: 10 Mio data points per chip
- High sensitivity even with small sample input
- Excellent reproducibility
references
Anti-apoptotic and anti-inflammatory effects of hydrogen sulfide in a rat model of regional myocardial I/R.
Sivarajah A, Collino M, Yasin M, Benetti E, Gallicchio M, Mazzon E, Cuzzocrea S, Fantozzi R, Thiemermann C. (SHOCK, 2009)
Altered gene expression patterns in dendritic cells after severe trauma: implications for systemic inflammation and organ injury.
Maier M, Wutzler S, Bauer M, Trendafilov P, Henrich D, Marzi I. (SHOCK, 2008)
Gene expression profiling from endomyocardial biopsy tissue allows distinction between subentities of dilated cardiomyopathy.
Ruppert V, Meyer T, Pankuweit S, Möller E, Funck RC, Grimm W, Maisch B; German Heart Failure Network. (J Thorac Cardiovasc Surg, 2008)
Gene profiling in human blood leucocytes during recovery from septic shock.
Payen D, Lukaszewicz AC, Belikova I, Faivre V, Gelin C, Russwurm S, Launay JM, Sevenet N. (Intensive Care Med., 2008)
Transcriptomic and proteomic patterns of systemic inflammation in on-pump and off-pump coronary artery bypass grafting.
Tomic V, Russwurm S, Möller E, Claus RA, Blaess M, Brunkhorst F, Bruegel M, Bode K, Bloos F, Wippermann J, Wahlers T, Deigner HP, Thiery J, Reinhart K, Bauer M. (Circulation, 2006)
Expression profiling: toward an application in sepsis diagnostics.
Prucha M, Ruryk A, Boriss H, Möller E, Zazula R, Herold I, Claus RA, Reinhart KA, Deigner P, Russwurm S. (SHOCK, 2004)
