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| Status |
Public on Mar 01, 2023 |
| Title |
GwEEP - A comprehensive approach for the profiling of DNA modifying enzymes |
| Organism |
Mus musculus |
| Experiment type |
Methylation profiling by high throughput sequencing
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| Summary |
A precise understanding of DNA methylation dynamics on a genome wide scale is of great importance for the comprehensive investigation of a variety of biological processes such as reprogramming of somatic cells to iPSCs, cell differentiation and also cancer development. To date, a complex integration of multiple and distinct genome wide data sets is required to derive the global activity of DNA modifying enzymes.
We present GwEEP - Genome-wide Epigenetic Efficiency Profiling as a versatile approach to infer dynamic efficiency changes of DNA modifying enzymes at base pair resolution on a genome wide scale. GwEEP relies on genome wide oxidative Hairpin Bisulfite sequencing (HPoxBS) data sets, which are translated by a sophisticated hidden Markov model into quantitative enzyme efficiencies with reported confidence around the estimates. GwEEP in its present form predicts de novo and maintenance methylation efficiencies of Dnmts, as well as the hydroxylation efficiency of Tets but its purposefully flexible design allows to capture further oxidation processes such as formylation and carboxylation given available data in the future.
Applied to a well characterized ES cell model, GwEEP precisely predicts the complex epigenetic changes following a Serum-to-2i shift i.e., (i) instant reduction in maintenance efficiency (ii) gradually decreasing de novo methylation efficiency and (iii) increasing Tet efficiencies. In addition, a complementary analysis of Tet triple knock-out ES cells confirms the previous hypothesized mutual interference of Dnmts and Tets. GwEEP is applicable to a wide range of biological samples including cell lines, but also tissues and primary cell types.
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| Overall design |
In total we generated eight hairpin libraries (BS and oxBS, respectively) for WT ES cells at three distinct time points - Serum/Lif(d0), 2i 72h (d3) and 2i 144h (d6); four libraries for TetTKO cells (BS only) - Serum/LIF, 2i 48h (d2), 2i 96h (d4) and 168h (d7), as well as two low-input libraries for WT ES cells 72h 2i (BS and oxBS).
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| Contributor(s) |
Kyriakopoulos C, Nordström K, Kramer P, Gottfreund J, Salhab A, Arand J, Müller F, von Meyenn F, Ficz G, Reik W, Wolf V, Walter J, Giehr P |
| Citation missing |
Has this study been published? Please login to update or notify GEO. |
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| Submission date |
Mar 17, 2021 |
| Last update date |
Mar 04, 2023 |
| Contact name |
Jörn Walter |
| E-mail(s) |
j.walter@mx.uni-saarland.de
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| Phone |
+496813022425
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| Organization name |
Saarland University
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| Department |
Genetics and Epigenetics
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| Street address |
Campus A2.4
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| City |
Saarbrücken |
| State/province |
Saarland |
| ZIP/Postal code |
66123 |
| Country |
Germany |
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| Platforms (2) |
| GPL16417 |
Illumina MiSeq (Mus musculus) |
| GPL17021 |
Illumina HiSeq 2500 (Mus musculus) |
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| Samples (12)
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| Relations |
| BioProject |
PRJNA715106 |
| SRA |
SRP311034 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE169070_RAW.tar |
347.6 Mb |
(http)(custom) |
TAR (of TXT) |
| GSE169070_Tet_TKO_Enzyme_Efficiencies.igv.gz |
380.5 Mb |
(ftp)(http) |
IGV |
| GSE169070_WT_Enzyme_Efficiencies.igv.gz |
504.5 Mb |
(ftp)(http) |
IGV |
SRA Run Selector |
| Raw data are available in SRA |
| Processed data provided as supplementary file |
| Processed data are available on Series record |
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