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SC-EpiTranscriptome SIGNED

Investigating differentiation using parallel single cell transcriptomic and epigenomic analysis

Total Cost €

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EC-Contrib. €

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Partnership

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Project "SC-EpiTranscriptome" data sheet

The following table provides information about the project.

Coordinator
KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW 

Organization address
address: KLOVENIERSBURGWAL 29 HET TRIPPENHUIS
city: AMSTERDAM
postcode: 1011 JV
website: www.knaw.nl

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 Netherlands [NL]
 Total cost 165˙598 €
 EC max contribution 165˙598 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2021-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW NL (AMSTERDAM) coordinator 165˙598.00

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 Project objective

Past research has identified epigenetic mechanisms including histone modifications as key regulators of transcription and implicated them in cellular differentiation. But while our knowledge about their cell type specific distribution and its influence on transcription has constantly increased, we still know very little about the orchestration of epigenetic and transcriptional changes as they occur during differentiation. To gain a global understanding of the order of events, we aim to identifying changes in gene expression and main transcriptional repressive and promoting histone modifications in cells undergoing differentiation.

For this we will develop a novel approach to examine the distribution of histone modifications on a single cell level adapting a method based on antibody targeted micrococcal nuclease (ChIC-seq), which will lead to a modification dependent enzymatic digestion of the DNA. In comparison with existing single cell ChIP approaches this method lacks a precipitation step, leading to minimal material loss per cell, while allowing the use of the variety of histone mark specific monoclonal antibodies. Adapting this approach to the previously described method for co-acquisition of transcriptomic and genomic information from a single cell existing in the lab, will allow the normalization of the histone state using the transcription status of the cell.

To analyze the order of changes associated with cell differentiation, we will use single cell RNA seq analysis pipelines (RaceID StemID) to identify and enrich for cells in between two specific differentiation stages.

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

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