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SLAM-Dx SIGNED

Diagnostic drug response-profiling using SLAMseq

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 SLAM-Dx project word cloud

Explore the words cloud of the SLAM-Dx project. It provides you a very rough idea of what is the project "SLAM-Dx" about.

selectivity    primary    distinction    direct    optimization    alkylation    preparation    mrna    qualify    probing    efficacy    format    rapid    sequencing    gene    hampers    guiding    microarrays    resolution    lack    limitation    erc    quantification    probe    disease    cell    systematic    scalable    function    vivo    slam    implications    cells    candidate    medicine    seq    chromatin    select    limited    commercial    co    revolutionize    tumor    protocol    patient    severe    unbiased    precluding    preclinical    right    survival    time    unprecedented    greatest    decisions    expression    tool    input    clinic    thiol    predicting    stg    336860    metabolic    leukemia    sh    tools    therapy    translational    slamseq    proof    clinical    personalised    techniques    deciphering    overcome    transcriptional    linked    library    diagnostic    treatment    one    96    precision    rna    poc    secondary    day    drug    utility    therapeutics    perturbations    variety    economy    action    profiling    dx    first    successful   

Project "SLAM-Dx" data sheet

The following table provides information about the project.

Coordinator
FORSCHUNGSINSTITUT FUR MOLEKULARE PATHOLOGIE GESELLSCHAFT MBH 

Organization address
address: CAMPUS-VIENNA-BIOCENTER 1
city: WIEN
postcode: 1030
website: www.imp.ac.at

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-PoC
 Funding Scheme ERC-POC-LS
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2021-03-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FORSCHUNGSINSTITUT FUR MOLEKULARE PATHOLOGIE GESELLSCHAFT MBH AT (WIEN) coordinator 150˙000.00

Map

 Project objective

One of the greatest challenges today is to select the right drug for the right patient at the right time. A lack of diagnostic tools for predicting therapy response currently hampers patient-tailored treatment decisions in the clinic with severe implications for economy and – most importantly – patient survival.

Profiling transcriptional responses to drug treatment is a key method for probing the activity of targeted therapeutics and guiding their use in the clinic. A major limitation of established gene expression profiling techniques (such as microarrays and RNA-seq) is their limited time resolution precluding the distinction of direct from secondary transcriptional responses to drug therapy. This hampers their utility for deciphering drug action and guiding patient-tailored treatment decisions.

To overcome this problem, as part of an ERC-StG project (Systematic in-vivo analysis of chromatin-associated targets in leukemia, 336860) I have co-developed thiol(SH)-linked alkylation for the metabolic sequencing of RNA (SLAMseq) as a rapid, robust and highly scalable method for the unbiased quantification of changes in mRNA production upon cell perturbations. Its unique features (low input cell numbers, short treatment-to-sample time, 1-day protocol library preparation in 96-well format) may qualify SLAMseq as the first method to probe the function, efficacy and selectivity of candidate therapeutics in primary (tumor) cells with unprecedented precision and on a large scale.

In this ERC-PoC project, I propose to establish technical and commercial proof-of-concept for SLAMseq’s application in preclinical and clinical drug development and optimization, and for patient-tailored treatment selection. Upon the successful proof-of-concept for SLAMseq’s application as diagnostic tool, SLAM-Dx has the potential to revolutionize translational research and personalised medicine in a variety of disease areas.

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The information about "SLAM-DX" are provided by the European Opendata Portal: CORDIS opendata.

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