Evidence map›Paper›PMID 26438536›Full record

ArticleNucleic acids research2016

Attomole quantification and global profile of RNA modifications: Epitranscriptome of human neural stem cells.

Maria Basanta-Sanchez, Sally Temple, Suraiya A Ansari, Anna D'Amico, Paul F Agris

Abstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

67 citing papers in PubMed.

  1. Article
  2. Integrating mass spectrometry with Nanopore direct RNA sequencing forbioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. PCBP1/2 and TDP43 Function as NAT10 Adaptors to Mediate mRNA acAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Genome-wide analysis of theProceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

7 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Maria Basanta-SanchezThe RNA Institute, University at Albany, Albany, NY, USA mbasantasanchez@albany.edu.
Sally TempleNeural Stem Cell Institute, Rensselaer, NY, USA.
Suraiya A AnsariNeural Stem Cell Institute, Rensselaer, NY, USA.
Anna D'AmicoThe RNA Institute, University at Albany, Albany, NY, USA.
Paul F AgrisThe RNA Institute, University at Albany, Albany, NY, USA.

Funding

Modified RNA tools and diagnostics for drug abuseR41DA038983 · NIDA · ATHGHIN BIOTECHNOLOGY, INC. · PI AGRIS, PAUL F · 2014 to 2014
$225k
NIDA NIH HHS 1R41DA038983-01
6 · The paper itself

Abstract

Exploration of the epitranscriptome requires the development of highly sensitive and accurate technologies in order to elucidate the contributions of the more than 100 RNA modifications to cell processes. A highly sensitive and accurate ultra-high performance liquid chromatography-tandem mass spectrometry method was developed to simultaneously detect and quantify 28 modified and four major nucleosides in less than 20 min. Absolute concentrations were calculated using extinction coefficients of each of the RNA modifications studied. A comprehensive RNA modifications database of UV profiles and extinction coefficient is reported within a 2.3-5.2 % relative standard deviation. Excellent linearity was observed 0.99227-0.99999 and limit of detection values ranged from 63.75 attomoles to 1.21 femtomoles. The analytical performance was evaluated by analyzing RNA modifications from 100 ng of RNA from human pluripotent stem cell-derived neural cells. Modifications were detected at concentrations four orders of magnitude lower than the corresponding parental nucleosides, and as low as 23.01 femtograms, 64.09 attomoles. Direct and global quantitative analysis of RNA modifications are among the advantages of this new approach.

Indexed as

Gene Expression ProfilingTranscriptomeCells, CulturedChromatography, High Pressure LiquidHumansLimit of DetectionNeural Stem CellsRNARNA Processing, Post-TranscriptionalTandem Mass SpectrometryRNA

Identifiers

PMID26438536
PMCPMC4756851

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.