Summary
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.
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.
Unfold all
/
Fold all
More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/798573 |
| Start date: | 01-06-2019 |
| End date: | 31-05-2021 |
| Total budget - Public funding: | 165 598,80 Euro - 165 598,00 Euro |
Cordis data
Original description
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.
Status
CLOSEDCall topic
MSCA-IF-2017Update Date
28-04-2024
Images
No images available.
Geographical location(s)
Search
