Swiss Multi-Omics Center
Driving Innovation in Digitization and Integrative Analyses of Clinical Samples.
A Personalized Health initiative of the ETH domain.
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Integrated Multi-Omic Data Interpretation
Integration, visualization, and analysis of omics data mapped onto biological networks and pathways
Data lineage tracking, data management, data sharing, secondary and tertiary analysis
Clinical Genomics
Clinical Proteotyping
Clinical Metabolomics
& Lipidomics
Unlocking the complexities of human health requires a comprehensive understanding of the intricate interplay between our genes, proteins, and metabolites. At SMOC, we utilize multi-omics approaches to examine the human body as a complex network of interacting molecules and gain an holistic picture of health and disease. Imagine having multiple vantage points to examine a complex landscape. Each "omics" layer provides a unique perspective, and by combining these layers, we create a high-resolution, multi-dimensional map of the human body to help us:
Understand disease complexity: Decipher why individuals with the same genetic mutation can experience different disease severity or treatment responses.
Identify new biomarkers: Discover novel molecular signatures for early disease detection and personalized risk assessment.
Develop targeted therapies: Design more precise and effective treatments tailored to an individual's unique molecular profile.
Predict treatment response: Anticipate how patients will respond to specific therapies, optimizing treatment strategies and minimizing adverse effects.
Multi-omics is not just about generating vast amounts of data; it's about extracting meaningful insights that translate into tangible benefits for patients. By integrating multi-omics data with clinical information, we bridge the gap between laboratory discoveries and clinical practice, paving the way for a new era of personalized medicine.
This is the driving force behind SMOC. We are committed to providing the expertise and resources needed to advance multi-omics research and transform how we understand, diagnose, and treat disease.
Single entry point for integrated multi-omic analysis.
Standardised and automated processing of large clinical cohorts.
Handling of sensitive clinical data according to established SPHN/BioMedIT guidelines.
We will find together the right strategy for digitizing and analyzing you clinical samples.
Small scale studies for optimizing clinical cohort experimental design and generating proof of concept data.
We will provide relevant text snippets supporting grants and publications.
High quality molecular data on the DNA, RNA, Protein, Metabolite and Lipid level for gaining clinical insights
Integration, visualization and analysis of omics data mapped onto biological networks and pathways
For data lineage tracking, secure data management, data sharing, secondary and tertiary analysis
SMOC - towards better informed treatment decisions based on molecular insights.
The ETH PHRT Swiss Multi-Omics Center and the University Children's Hospital Zurich are excited to announce that they have received a Horten Consortium Project for Clinical Translation (CONPRO) grant of 3 million CHF for their proposal "Rapid and Accurate INborn Disease Recognition via multi-Omics Profiling" (RAINDROP). The project aims to leverage multi-omics to enhance diagnostics of Inborn Errors of Metabolism. These rare genetic disorders can be life-threatening, especially in the newborn and early childhood periods, and often incur significant long-term complications. During the three-year project, an interdisciplinary team under the lead of Matthias Baumgartner, Sean Froese, Patrick Pedrioli, Nicola Zamboni, and Sandra Goetze will analyze a substantial number of patient samples from a biobank that have been collected over the past 30 years. By integrating genomic, transcriptomic, proteomic, and metabolomic data, the consortium aims to improve both the speed and accuracy of diagnoses while providing deeper insights into the underlying mechanisms of disease development.
We appreciate the generous support of the Helmut Horten Foundation to realize RAINDROP's translational potential and its importance in advancing precision medicine for children with rare genetic disorders.
In this pioneering collaboration with the Kinderspital Zurich, SMOC helped shed light on the inherited metabolic disease methylmalonic aciduria. Learn more in this article from Nature Metabolism.
In this international collaboration with 11 laboratories and Thermo Fisher Scientific, SMOC helped establish protocols for robust, sensitive, and reproducible data generation from clinical specimens. Learn more in this article from Nature Communications.
SMOC has started a large scale project to sequence 15'000 genomes representative of the Swiss population. This will allow for the creation a national reference dataset and enable Swiss participation in the European ‘1+ Million Genomes’ Initiative.
In this collaboration with the Weller and Snijder labs, SMOC performed proteomic and phosphoproteomic profiling to uncover that NADs alter glioblastoma neurophysiology and engage an anti-proliferative AP-1/BTG gene regulatory network. Learn more in this article from Nature Medicine.
RAPIDS aims to improve sepsis diagnosis via multi-omics aproaches. Led by an international team of researchers from Switzerland (ETH Zurich, Kinderspital Zurich, and SMOC) and Australia (Queensland university), the proposal received funding to develop fast and accurate diagnostics to improve patient outcomes at reduced costs.
SMOC is a proud partner of the recently launched pediatric personalized research network Switzerland (SwissPedHealth) – a Joint Pediatric National Data Stream (NDS).
Check out the presentation Sandra Goetze gave at the SPHN/PHRT 2024 day.
In this collaboration with the Manz and Snijder labs, SMOC helped elucidate determinants of multiple myeloma drug sensitivity, stratifying clinical responses and revealing the cellular and molecular factors regulating the disease. Learn more in this article from Nature Cancer.
SMOC Coordinator
Advisory Head of SMOC
SMOC Data Science Coordinator
SMOC scientist
Head, SMOC clinical genomics
SMOC Ethical and Legal coordinator
Co-Head, SMOC Clinical Genomics
Co-head, SMOC Clinical Genomics
Head, SMOC Clinical Metabolomics
SMOC scientist
SMOC data scientist
SMOC data scientist
If you are interested in joining our team, please get in touch.
Prices updated: January 2023
Download pricing| research (CHF/sample) | industry (CHF/sample) |
|---|---|
| 850 | 1300 |
| research (CHF/sample) | industry (CHF/sample) | |
|---|---|---|
| 1-50 samples | 350 | 525 |
| 51-100 samples | 320 | 480 |
| >100 samples | 260 | 390 |
| research (CHF/sample) | industry (CHF/sample) | |
|---|---|---|
| 1-150 samples | 200 | 300 |
| 151-300 samples | 190 | 275 |
| >300 samples | 160 | 240 |
| research (CHF/sample) | industry (CHF/sample) | |
|---|---|---|
| 1-20 samples | 1000 | 2000 |
| 21-99 samples | 800 | 1600 |
| 100-499 samples | 600 | 1200 |
| 500-999 samples | 500 | 1000 |
| >1000 samples | 400 | 800 |
| research (CHF/sample) | industry (CHF/sample) | |
|---|---|---|
| 1-20 samples | 1200 | 2400 |
| 21-99 samples | 1000 | 2000 |
| 100-499 samples | 800 | 1600 |
| 500-999 samples | 600 | 1200 |
| >1000 samples | 500 | 1000 |
| research (CHF/sample) | industry (CHF/sample) | |
|---|---|---|
| 1-20 samples | 5000 | 10000 |
| 21-99 samples | 2500 | 5000 |
| research (CHF/sample and mode) | industry (CHF/sample and mode) |
|---|---|
| 110 | 220 |
| research (CHF/sample and mode) | industry (CHF/sample and mode) |
|---|---|
| 30 | 60 |
| research (CHF/sample and mode) | industry (CHF/sample and mode) |
|---|---|
| 110 | 220 |
Please get in touch for a project based cost estimate
For an overview of supported samples and preparation requirements please have a look at this document:
Download sample requirementsThe Swiss Multi-Omics Center (SMOC) plays a crucial role in advancing personalized health research in Switzerland. As a key project in the Personalized Health and Related Technologies (PHRT) initiative of the ETH domain, SMOC provides expertise in multi-omics data generation, analysis, and interpretation. This work is closely intertwined with the Swiss Personalized Health Network (SPHN), where SMOC contributes to building a robust platform for data-driven personalized health research.
To ensure secure data processing and sharing, SMOC leverages the BioMedIT and Data Coordination Center (DCC) infrastructure. This integration enables researchers to work with sensitive health data in a confidential and compliant manner.
ETH PHRT: A strategic focus area of the ETH Domain encompassing ETHZ, EPFL, PSI, EMPA, Eawag, and WSL, with the goal of improving personalized health and precision medicine.
SPHN: A national initiative creating a secure platform for sharing and analyzing health data to drive personalized health research and innovation.
BioMedIT: A project providing a secure and high-performance computing environment for biomedical research, ensuring data security and compliance with ethical guidelines.
SwissPedHealth: SMOC collaborates with SwissPedHealth, a national initiative focused on improving children's health through data-driven research. This partnership enables SMOC to contribute its multi-omics expertise to pediatric research, furthering the understanding of childhood diseases and improving personalized healthcare for children.
TumorProfiler: As one of the node of TumorProfiler, SMOC provides tumor boards with fast-turnaround multi-omics data to support precision oncology.
ICPC: SMOC actively participates in the International Cancer Proteogenome Consortium (ICPC), a global initiative focused on advancing cancer research through proteogenomic analysis. This collaboration allows SMOC to contribute to international efforts in understanding cancer at the molecular level and developing new approaches for diagnosis and treatment.
