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ETH PHRT

Swiss Multi-Omics Center

Integrated digitization of clinical biospecimen cohorts on the molecular level

DNA | RNA | Protein | Metabolites | Lipids

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ETH PHRT

Swiss Multi-Omics Center

"Each patient's individual molecular makeup and unique characteristics will be the basis for guiding the medical decisions and restoring health."

Personalized Health and Related Technologies (PHRT) is a strategic focus area of the ETH Domain; the latter embracing key research institutions like ETHZ, EPFL, PSI, EMPA, Eawag and WSL. PHRT’s goals include improving the quality of Personalized Health and Precision Medicine by providing a choice of individual therapeutic strategies for patients. PHRT aims to support and drive transformation in Personalized Health by providing clinicians with access to ETH technologies in order to evaluate their potential contributions to clinical decision making. The PHRT research program complements infrastructure efforts undertaken by the Swiss Personalized Health Network (SPHN) and the Swiss Data Science Center (SDSC). Within the PHRT program, SMOC is an engine for multi-omics data generation, analysis, interpretation. For secure data processing and sharing, SMOC is integrated into the SPHN/BioMEdIT secure computational infrastructure.


Measure

Single entry point for digitizing your clinical cohorts at the level of DNA, RNA, Proteins, Metabolites and Lipids

Integrate

Integrated FAST track and DEEP track analysis of multiomics data

Analyze

Delivering molecular insights supporting publications and clinical decision making

Share

FAIR sharing of primary and derivative data based on ethical consent

Overview

SMOC molecular profiling platform provides robust data for research and simultaneously insights for clinicians

Clinical Stream

High quality molecular data on the DNA, RNA, Protein, Metabolite and Lipid level for gaining clinical insights

Exploratory Research Stream

Integration, visualization and analysis of omics data mapped onto biological networks and pathways

SPHN BioMedIT infrastructure integration

For data lineage tracking, secure data management, data sharing, secondary and tertiary analysis

SMOC - towards better informed treatment decisions based on molecular insights.

Features

Our Offer and Expertise

Getting the most of your clinical samples

Single entry point for integrated multi-omic analysis.

Molecular insights into clinical cohorts

Standardised and automated processing of large clinical cohorts.

Safe Data Storage and Exchange

Handling of sensitive clinical data according to established SPHN/BioMedIT guidelines.

Consultancy

We will find together the right strategy for digitizing and analyzing you clinical samples.

Feasibility study

Small scale studies for optimizing clinical cohort experimental design and generating proof of concept data.

Support with Grant and Paper writing

We will provide relevant text snippets supporting grants and publications.

Generating clinical insights from Multi-Omics data

SMOC

One entry point, three integrated centers.

Scalable production and analytics.

Genomics

CGAC

Clinical Genomic Analysis Center

  • Clinical Grade Sequencing
    (ISO 15189 accredited)
  • Whole Genome Sequencing (WGS)
  • Whole Exome Sequencing (WES)
  • RNA Sequencing (RNASeq)

    • Further information and pricing
  • Fast-track genomic data analysis

Proteotyping

CPAC

Clinical Proteotype Analysis Center

  • Quantitative Proteotyping

  • Proteotype analysis (DDA, DIA, PRM)
  • Post-translational modification analysis
  • Spatial proteotype analysis

    • Further information and pricing
  • Fast-track proteomic data analysis

Metabolomics & Lipidomics

CMAC

Clinical Metabolomics Analysis Center

Integrated Multi-Omic Data Interpretation

Integration, visualization, and analysis of omics data mapped onto biological networks and pathways

BioMedIT integration for data lineage tracking, data management, data sharing, secondary and tertiary analysis



SMOC — designed to meet the needs of clinical research.

Recent Highlights

  • Highlight image
    Publication Integrated multi-omics reveals anaplerotic rewiring in methylmalonyl-CoA mutase deficiency.

    Learn how multi-omics analysis sheds light on the inherited metabolic disease methylmalonic aciduria in this article from Nature Metabolism.

  • Highlight image
    Project kick-off NDS SwissPedHealth

    SMOC is a proud partner of the recently launched pediatric personalized research network Switzerland (SwissPedHealth) – a Joint Pediatric National Data Stream (NDS).

  • Highlight image
    Second Joint Personalized Health Day The future of data-driven medicine in Switzerland

    Check out the presentation Nicola Zamboni gave at the SPHN/PHRT 2022 day.

  • Highlight image
    Rapid Personalized Diagnosis of Sepsis in Children (RAPIDS)

    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.

  • Highlight image
    Publication Ex vivo drug response heterogeneity reveals personalized therapeutic strategies for patients with multiple myeloma

    Learn more in this article from Nature Cancer.

  • Highlight image
    Publication High-throughput identification of repurposable neuroactive drugs with potent anti-glioblastoma activity

    Learn more in this article from Nature Medicine.

Further information and pricing

Write to us
For formal offers & requests please contact us. We offer free consultancy.

Prices updated: January 2023

CGAC

WGS - 30x coverage

research (CHF/sample) industry (CHF/sample)
850 1300

WES - 70x coverage

research (CHF/sample) industry (CHF/sample)
1-50 samples 350 525
51-100 samples 320 480
>100 samples 260 390

RNA-seq - 50PE; 25M clusters

research (CHF/sample) industry (CHF/sample)
1-150 samples 200 300
151-300 samples 190 275
>300 samples 160 240
Download full pricing details (CGAC)
Download sample requirements (CGAC)

CPAC

Standard data-independent acquisition (DIA)

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

Phospho-enrichment workflow and data-independent acquisition (DIA) or alternatively data-dependent acquisition scheme

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

Basic PRM-assay development including optimization and determination of LOD/LOQ

research (CHF/sample) industry (CHF/sample)
1-20 samples 5000 10000
21-99 samples 2500 5000
Download full pricing details (CPAC)
Download sample requirements (CPAC)

CMAC

Metabolomics (LC-MS, untargeted)

research (CHF/sample and mode) industry (CHF/sample and mode)
110 220

HT Metabolomics (FIA-MS, untargeted)

research (CHF/sample and mode) industry (CHF/sample and mode)
30 60

Lipidomics (LC-MS, untargeted)

research (CHF/sample and mode) industry (CHF/sample and mode)
110 220
Download full pricing details and sample requirements (CMAC)

SMOC

DEEP-track 'omic analysis

Please get in touch for a project based cost estimate

People

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Dr. Sandra Goetze

SMOC Coordinator & Scientific Head of CPAC

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Dr. Keith Harshman

SMOC Co-coordinator and Scientific Co-head of CGAC

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Dr. Patrick Pedrioli

SMOC Data Science Coordinator

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Prof. Dr. Bernd Wollscheid

Advisory Head of SMOC

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Dr. Audrey van Drogen

Project Scientist &
Lab Manager

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Dr. Katrin Männik

Expert in genomics and related ELSI

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Prof. Dr. Jaques Fellay

Scientific Head of CGAC

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Prof. Dr. Ioannis Xenarios

Scientific Co-head of CGAC

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Prof. Dr. Nicola Zamboni

Scientific Head of CMAC

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Dr. Kate Wolfer

Small molecule MS specialist

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Dr. Lorenzo Talamanca

Multi-omics data scientist

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Dr. Jianbo Fu

Multi-omics data scientist

Join our team

We currently have two openings at postdoctoral level in data integration of -omics data for personalized health

More information and applications via the ETH Stellenportal

Our Scientific Advisory Board

Prof. Dr. Susan Gasser, Prof. Dr. Tuuli Lappalainen, Prof. Dr. Elisa Oricchio, Prof. Dr. Stefan Tenzer, Prof. Dr. Aebersold Rudolf, and Prof. Dr. Didier Trono

Partnerships

The ETH Personalised Health and Related Technologies network

Get in touch with us.

Do you want to be part of exciting discoveries? Let's work together!