Explore the words cloud of the SC-EpiTranscriptome project. It provides you a very rough idea of what is the project "SC-EpiTranscriptome" about.
The following table provides information about the project.
Coordinator |
KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW
Organization address contact info |
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 |
Take a look of project's partnership.
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1 | KONINKLIJKE NEDERLANDSE AKADEMIE VAN WETENSCHAPPEN - KNAW | NL (AMSTERDAM) | coordinator | 165˙598.00 |
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.