Deep enzymology data related to Adam et al.: Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns (doi:10.18419/darus-2114)

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Document Description

Citation

Title:

Deep enzymology data related to Adam et al.: Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns

Identification Number:

doi:10.18419/darus-2114

Distributor:

DaRUS

Date of Distribution:

2021-08-27

Version:

2

Bibliographic Citation:

Jeltsch, Albert; Bashtrykov, Pavel; Adam, Sabrina, 2021, "Deep enzymology data related to Adam et al.: Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns", https://doi.org/10.18419/darus-2114, DaRUS, V2

Study Description

Citation

Title:

Deep enzymology data related to Adam et al.: Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns

Identification Number:

doi:10.18419/darus-2114

Authoring Entity:

Jeltsch, Albert (Universität Stuttgart)

Bashtrykov, Pavel (Universität Stuttgart)

Adam, Sabrina (Universität Stuttgart)

Grant Number:

JE252/36

Grant Number:

RA1840/2

Grant Number:

EXC 2075 390740016

Distributor:

DaRUS

Access Authority:

Jeltsch, Albert

Depositor:

Jeltsch, Albert

Date of Deposit:

2021-08-16

Holdings Information:

https://doi.org/10.18419/darus-2114

Study Scope

Keywords:

Medicine, Health and Life Sciences, DNA Modification, DNA Hydroxymethylation, TET Enzymes, Enzyme Specificity

Topic Classification:

Biochemistry

Abstract:

Experimental procedures for deep enzymology reactions with randomized substrates: For analysis of flanking sequence preferences of the TET enzymes, a similar approach as described for DNMTs (Emperle et al., 2019; Gao et al., 2020; Adam et al., 2020; Dukatz et al., 2020) was used. Briefly, the following single-stranded oligonucleotides containing a methylated or hydroxymethylated CpG or CpH site flanked by 10 randomized nucleotides on either side were obtained from IDT and primer extension was performed to obtain the double stranded DNA substrates. A CpN substrate was prepared as a mixture of CpG and CpH in a 1:3 ratio. For the randomized hydroxymethylated substrate, the single-stranded oligo was purchased coupled to Desthiobiotin-TEG. Primer extension was conducted and the substrate was purified via Streptavidin beads (Dynabeads M-280, ThermoFisher Scientific) and eluted with a biotin solution. <br/> <br/> HM rand. GAGTGTGACTAGGCTCTCACTGCCNNNNNNNNNN mC GNNNNNNNNNNGAGAGGAGACCTAGTGAGAAG <br/> OH rand. GAGTGTGACTAGGCTCTCACTGCCNNNNNNNNNN hmC GNNNNNNNNNNGAGAGGAGACCTAGTGAGAAG <br/> CH rand. GAGTGTGACTAGGCTCTCACTGCCNNNNNNNNNN mC HNNNNNNNNNNGAGAGGAGACCTAGTGAGAAG <br/> <br/> The randomized double stranded substrates were incubated with the TET enzyme at 37 °C for 45 min (CN context) or 1 h (CG context) using mixtures containing 1x reaction buffer (50 mM HEPES pH 6.8, 100 mM NaCl, 1 mM DTT, 1 mM alpha-ketoglutarate and 2 mM ascorbic acid), 100 µM ammonium iron(II) sulfate, using different enzyme concentrations and variable amounts of dialysis buffer to keep a fixed salt and glycerol concentration. Reactions were stopped by freezing in liquid nitrogen. Afterwards, Proteinase K (NEB) treatment was used for enzyme inactivation for 1 h at 50 °C, followed by purification with a PCR clean-up kit (MACHEREY-NAGEL). Hairpin ligation and bisulfite conversion was performed using EZ DNA Methylation-Lightning kit (ZYMO).<br/> <br/> Library preparation for Illumina Next Generation Sequencing was conducted using a two-step PCR approach as described in (Gao et al., 2020). Unique combinations of barcode and index sequences were introduced to distinguish different samples and experiments. For bioinformatic analysis of the NGS datasets, a local instance of a Galaxy server (Afgan et al., 2018) was used. Sequence reads were trimmed with Trim Galore! (Galaxy Version 0.4.3.1, https://www.bioinformatics.babraham.ac.uk/projects/trim_galore/) keeping only the sequences with a quality score above 20 for further analysis, and filtered according to the expected DNA size using the Filter FASTQ tool (Blankenberg et al., 2010).<br/> <br/> The data in this entry contain the Fastq sequence files and extracted DNA sequences obtained with the hemimethylated CpG substrate (HM CG), hemimethylated CpN substrate mixture (HM CN) and hemihydroxymethylated CpG substrate (OH CG). Enzyme kinetics were conducted with TET1 and two versions of TET2 (V1 and V2) as described in the accompanying paper. Individual repeats of experiments are indicated with R1-R5 as appropriate. Control reaction refer to samples treated identically but without enzyme.<br/> <br/> The cited references are listed in the accompanying publication to this dataset.

Kind of Data:

Raw DNA sequences extracted from Fastq NGS files; Bisulfite-seq of 5mC and 5hmC oxidation analysis

Notes:

<a href="https://pubmed.ncbi.nlm.nih.gov/35075236/">PMID: 35075236</a>

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Title:

Adam et al.: Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns. Communications Biology, 5:92 (2022)

Identification Number:

10.1038/s42003-022-03033-4

Bibliographic Citation:

Adam et al.: Flanking sequences influence the activity of TET1 and TET2 methylcytosine dioxygenases and affect genomic 5hmC patterns. Communications Biology, 5:92 (2022)

Other Study-Related Materials

Label:

HM CG control.txt

Notes:

text/plain

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readme HM CG.pdf

Text:

Information about the sequences

Notes:

application/pdf

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TET1 HM R1.txt

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text/plain

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TET1 HM R2.txt

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text/plain

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TET1 HM R3.txt

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text/plain

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TET2 V1 HM R1.txt

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text/plain

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TET2 V1 HM R2.txt

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text/plain

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TET2 V1 HM R3.txt

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text/plain

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TET2 V1 HM R4.txt

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text/plain

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TET2 V1 HM R5.txt

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text/plain

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TET2 V2 HM R1.txt

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text/plain

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TET2 V2 HM R2.txt

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text/plain

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TET2 V2 HM R3.txt

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text/plain

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HM CN control.txt

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text/plain

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readme HM CN.pdf

Text:

Information about the sequences

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application/pdf

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TET1 CN R1.txt

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text/plain

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TET1 CN R2.txt

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text/plain

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TET2 V2 CN R1.txt

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text/plain

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TET2 V2 CN R2.txt

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text/plain

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OH CG control.txt

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text/plain

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readme OH CG.pdf

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Information about the sequences

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application/pdf

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TET1 OH R1.txt

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text/plain

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TET1 OH R2.txt

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text/plain

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TET1 OH R3.txt

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text/plain

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TET1 OH R4.txt

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text/plain

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TET1 OH R5.txt

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text/plain

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TET2 V1 OH R1.txt

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text/plain

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TET2 V1 OH R2.txt

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text/plain

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TET2 V2 OH R1.txt

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text/plain

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TET2 V2 OH R2.txt

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text/plain

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HM CG control.fastqsanger

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application/octet-stream

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TET1 HM R1.fastqsanger

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application/octet-stream

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TET1 HM R2.fastqsanger

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application/octet-stream

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TET1 HM R3.fastqsanger

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application/octet-stream

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TET2 V1 HM R1.fastqsanger

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application/octet-stream

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TET2 V1 HM R2.fastqsanger

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application/octet-stream

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TET2 V1 HM R3.fastqsanger

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application/octet-stream

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TET2 V1 HM R4.fastqsanger

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application/octet-stream

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TET2 V1 HM R5.fastqsanger

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application/octet-stream

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TET2 V2 HM R1.fastqsanger

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application/octet-stream

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TET2 V2 HM R2.fastqsanger

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application/octet-stream

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TET2 V2 HM R3.fastqsanger

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application/octet-stream

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HM CN control.fastqsanger

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application/octet-stream

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TET1 CN R1.fastqsanger

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application/octet-stream

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TET1 CN R2.fastqsanger

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application/octet-stream

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TET2 V2 CN R1.fastqsanger

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application/octet-stream

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TET2 V2 CN R2.fastqsanger

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application/octet-stream

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OH CG control.fastqsanger

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application/octet-stream

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TET1 OH R1.fastqsanger

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application/octet-stream

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TET1 OH R2.fastqsanger

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application/octet-stream

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TET1 OH R3.fastqsanger

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application/octet-stream

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TET1 OH R4.fastqsanger

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application/octet-stream

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TET1 OH R5.fastqsanger

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application/octet-stream

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TET2 V1 OH R1.fastqsanger

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application/octet-stream

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TET2 V1 OH R2.fastqsanger

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application/octet-stream

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TET2 V2 OH R1.fastqsanger

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application/octet-stream

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TET2 V2 OH R2.fastqsanger

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application/octet-stream