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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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3' End Sequencing Library Preparation with A-seq2
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Pseudouridylation meets next-generation sequencing.

Maryam Zaringhalam1, F Nina Papavasiliou2

  • 1Laboratory of Lymphocyte Biology, The Rockefeller University, 1230 York Avenue, New York, NY 10065, United States; The Rockefeller Graduate Program, The Rockefeller University, 1230 York Avenue, New York, NY 10065, United States.

Methods (San Diego, Calif.)
|March 13, 2016
PubMed
Summary
This summary is machine-generated.

Pseudouridylation, the most abundant RNA modification, can now be mapped across the transcriptome using new sequencing methods. These techniques reveal dynamic pseudouridine (Ψ) sites, expanding our understanding of RNA function.

Keywords:
ModificationNext-generation sequencingPseudouridineRNA

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Area of Science:

  • Molecular Biology
  • RNA Biology
  • Biochemistry

Background:

  • Pseudouridylation (Ψ) is the most prevalent post-transcriptional RNA modification, crucial for RNA structure and function.
  • Historically, pseudouridylation studies were limited to specific RNA types due to detection method constraints.
  • Recent advancements enable transcriptome-wide mapping of pseudouridine sites.

Purpose of the Study:

  • To outline and compare high-throughput pseudouridine detection methods.
  • To analyze the results obtained from these novel sequencing techniques.
  • To discuss the advantages, limitations, and future potential of current pseudouridylation mapping approaches.

Main Methods:

  • Comparison of four deep sequencing methods: Pseudo-seq, Ψ-seq, PSI-seq, and CeU-seq.
  • All methods utilize carbodiimide (CMC) for selective chemical labeling of pseudouridine.
  • Analysis focuses on mapping pseudouridine positions across the entire transcriptome at single-nucleotide resolution.

Main Results:

  • These methods have significantly expanded the known pseudouridylated transcripts, including mRNAs and noncoding RNAs.
  • Conditional pseudouridylation sites, responsive to cellular stress, have been identified.
  • Pseudouridylation appears to dynamically modulate RNA function.

Conclusions:

  • Novel sequencing methods have democratized the study of pseudouridylation across the transcriptome.
  • Further research is needed to fully elucidate the biological significance of pseudouridylation.
  • Understanding the limitations of CMC-based methods is crucial for future advancements in RNA modification studies.