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We began analyzing https://www.nature.com/articles/s41594-019-0218-x, but it redirected us to https://www.nature.com/articles/s41594-019-0218-x. The analysis below is for the second page.

Title[redir]:
Genome-wide identification of mRNA 5-methylcytosine in mammals | Nature Structural & Molecular Biology
Description:
Accurate and systematic transcriptome-wide detection of 5-methylcytosine (m5C) has proved challenging, and there are conflicting views about the prevalence of this modification in mRNAs. Here we report an experimental and computational framework that robustly identified mRNA m5C sites and determined sequence motifs and structural features associated with the modification using a set of high-confidence sites. We developed a quantitative atlas of RNA m5C sites in human and mouse tissues based on our framework. In a given tissue, we typically identified several hundred exonic m5C sites. About 62–70% of the sites had low methylation levels (<20% methylation), while 8–10% of the sites were moderately or highly methylated (>40% methylation). Cross-species analysis revealed that species, rather than tissue type, was the primary determinant of methylation levels, indicating strong cis-directed regulation of RNA methylation. Combined, these data provide a valuable resource for identifying the regulation and functions of RNA methylation. A quantitative atlas of RNA m5C sites in human and mouse tissues based on a new discovery pipeline allows the identification of sequence motifs and structural features associated with the modification and provides a resource for future studies.

Matching Content Categories {πŸ“š}

  • Education
  • Science
  • Technology & Computing

Content Management System {πŸ“}

What CMS is doi.org built with?

Custom-built

No common CMS systems were detected on Doi.org, and no known web development framework was identified.

Traffic Estimate {πŸ“ˆ}

What is the average monthly size of doi.org audience?

πŸ™οΈ Massive Traffic: 50M - 100M visitors per month


Based on our best estimate, this website will receive around 80,479,999 visitors per month in the current month.

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How Does Doi.org Make Money? {πŸ’Έ}

The income method remains a mystery to us.

Not all websites focus on profit; some are designed to educate, connect people, or share useful tools. People create websites for numerous reasons. And this could be one such example. Doi.org has a secret sauce for making money, but we can't detect it yet.

Keywords {πŸ”}

article, google, scholar, sites, cas, rna, nature, data, methylation, nsun, supplementary, shown, human, cell, mouse, nat, reads, windows, samples, number, analysis, mrna, sequencing, transcripts, levels, access, res, cells, sample, rnas, fig, gene, control, conversion, replicates, hela, site, information, methylcytosine, tissues, genes, biol, editing, content, based, methods, mapping, studies, selected, molecular,

Topics {βœ’οΈ}

nature portfolio journals permissions reprints nature portfolio privacy policy web-based tools sequencing service advertising zymo research social media sun yat-sen university development simulating rna-seq datasets nsun2-mediated m5c methylation nsun2-mediated cytosine-5 methylation bs-seq data generated rna-dependent chromatin targeting nature+ nature 534 nature 554 nature 462 nature 538 nature 550 nature 485 nature cross-species analysis revealed rna editing single base deletion /sysu-zhanglab/rna-m5c systematic transcriptome-wide detection high-throughput sequencing reads c-cutoff filter based rna sequencing data simulated paired-end reads springerlink instant access subjects computational biology gene-specific conversion rates permissions fast gapped-read alignment high-confidence m5c sites raw sequencing data manuscript editing bs-seq protocols high-confidence sites called m5c rip-seq yeast reveals m5c messenger rna modifications author correspondence standard deviation based rna methylation pathways c-position coverage cutoffs

Schema {πŸ—ΊοΈ}

WebPage:
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         headline:Genome-wide identification of mRNA 5-methylcytosine in mammals
         description:Accurate and systematic transcriptome-wide detection of 5-methylcytosine (m5C) has proved challenging, and there are conflicting views about the prevalence of this modification in mRNAs. Here we report an experimental and computational framework that robustly identified mRNA m5C sites and determined sequence motifs and structural features associated with the modification using a set of high-confidence sites. We developed a quantitative atlas of RNA m5C sites in human and mouse tissues based on our framework. In a given tissue, we typically identified several hundred exonic m5C sites. About 62Ҁ“70% of the sites had low methylation levels (<20% methylation), while 8Ҁ“10% of the sites were moderately or highly methylated (>40% methylation). Cross-species analysis revealed that species, rather than tissue type, was the primary determinant of methylation levels, indicating strong cis-directed regulation of RNA methylation. Combined, these data provide a valuable resource for identifying the regulation and functions of RNA methylation. A quantitative atlas of RNA m5C sites in human and mouse tissues based on a new discovery pipeline allows the identification of sequence motifs and structural features associated with the modification and provides a resource for future studies.
         datePublished:2019-05-06T00:00:00Z
         dateModified:2019-05-06T00:00:00Z
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      headline:Genome-wide identification of mRNA 5-methylcytosine in mammals
      description:Accurate and systematic transcriptome-wide detection of 5-methylcytosine (m5C) has proved challenging, and there are conflicting views about the prevalence of this modification in mRNAs. Here we report an experimental and computational framework that robustly identified mRNA m5C sites and determined sequence motifs and structural features associated with the modification using a set of high-confidence sites. We developed a quantitative atlas of RNA m5C sites in human and mouse tissues based on our framework. In a given tissue, we typically identified several hundred exonic m5C sites. About 62Ҁ“70% of the sites had low methylation levels (<20% methylation), while 8Ҁ“10% of the sites were moderately or highly methylated (>40% methylation). Cross-species analysis revealed that species, rather than tissue type, was the primary determinant of methylation levels, indicating strong cis-directed regulation of RNA methylation. Combined, these data provide a valuable resource for identifying the regulation and functions of RNA methylation. A quantitative atlas of RNA m5C sites in human and mouse tissues based on a new discovery pipeline allows the identification of sequence motifs and structural features associated with the modification and provides a resource for future studies.
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         Methylation
         RNA modification
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         Protein Structure
         Membrane Biology
         Biological Microscopy
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Social Networks {πŸ‘}(1)

External Links {πŸ”—}(257)

Analytics and Tracking {πŸ“Š}

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Libraries {πŸ“š}

  • Prism.js
  • Zoom.js

Emails and Hosting {βœ‰οΈ}

Mail Servers:

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Name Servers:

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  • zita.ns.cloudflare.com

CDN Services {πŸ“¦}

  • Crossref

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