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Dynamics of Human and Viral RNA Methylation during ZIKA Virus Infection

GSE87516 Zika virus; Homo sapiens DNA methylation 18 samples Submitted 2016/11/15 Platform GPL22512Platform GPL16791
At a glance

DNA methylation · Zika virus; Homo sapiens · 18 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Zika virus; Homo sapiens
Samples
18 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Human infection with the flavivirus ZIKA (ZIKV) causes severe neurological, immunological, and developmental defects. Despite recent progress, the mechanisms by which ZIKV infection alters host transcriptional and translational programs remains unclear. Here, we report that ZIKV infection has profound effects on the topology and function of N6-adenosine methylation (m6A) of both viral and human RNAs.
Read the full summary ↓
m6A and 2′-O-methylated nucleosides are abundant in ZIKV genomic RNA, and m6A-seq identified 12 m6A peaks spanning the full length of ZIKV RNA. m6A abundance in ZIKV RNA is controlled by the host methyltransferases METTL3 and METTL14 and the demethylase ALKBH5. Profiling of the m6A methylome of host mRNAs revealed that ZIKV infection alters the location of m6A in mRNAs, the methylation motifs, and the target genes modified by the methyltransferases. Our results identify a new mechanism by which ZIKV interacts with and alters the function of the host cell.
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE87516_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA344999 and SRA study SRP090687. Searching any of these in the dataset finder brings you back here.

Samples in this study

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