T-GRAND-SLAM
Financiado
Translating the Global Refined Analysis of Newly transcribed RNA and Decay rates...
Translating the Global Refined Analysis of Newly transcribed RNA and Decay rates by SLAM seq
I propose to introduce novel analysis tools via a platform for three recently developed RNA sequencing (RNA-seq) mI propose to introduce novel analysis tools via a platform for three recently developed RNA sequencing (RNA-seq) met...
I propose to introduce novel analysis tools via a platform for three recently developed RNA sequencing (RNA-seq) mI propose to introduce novel analysis tools via a platform for three recently developed RNA sequencing (RNA-seq) methods (SLAM-seq, TimeLapse-seq and TUC-seq). All three methods enable the direct detection of new RNA transcribed by cells in a defined window of time within the pool of total cellular RNA. This is achieved by the introduction and subsequent detection of base-mismatches in newly transcribed RNA using RNA-seq. The ability to differentiate new from old RNA greatly increases the temporal resolution of RNA-seq experiments.
In the frame of my ERC CoG grant HERPES, we developed a computational approach (an algorithm) termed GRAND-SLAM (Globally Refined Analysis of Newly transcribed RNA and Decay rates using SLAM-seq; patent application filed) to reliably define the relative contributions of new and old RNA. GRAND-SLAM not only directly computes the contribution of new and old RNA but also provides credible intervals that allow to judge the precision of the obtained ratios for each gene. GRAND-SLAM thereby provides novel means to identify perturbations in RNA synthesis and decay. Furthermore, GRAND-SLAM directly reduces experiment costs by eliminating the need for control samples to determine sequencing error rates.
In conclusion, SLAM-seq will become the new standard for gene expression profiling worldwide and GRAND-SLAM the computational tool to analyze the respective data. Within this PoC-project, we will present the GRAND-SLAM analysis platform and prepare its introduction on the market with prospective customers in three areas: next-generation-sequencing companies, pharmaceutical industry, and research institutes. We will validate the analysis platform, improve its usability via direct testing with pilot customers, and develop our envisaged business strategy according to the feedback we will gain in the course of the project.
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Duración del proyecto: 18 meses
Fecha Inicio: 2019-02-18
Fecha Fin: 2020-08-31
Fecha Fin: 2020-08-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2020-08-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-2018-PoC:
ERC Proof of Concept Grant
Cerrada
hace 6 años
Presupuesto
El presupuesto total del proyecto asciende a
150K€
Líder del proyecto
JULIUSMAXIMILIANSUNIVERSITAT WURZBURG
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
526.30K€ |
Participante