Evidence map›Paper›PMID 36840809›Full record

ReviewAnalytical and bioanalytical chemistry2023

Characterizing RNA modifications in the central nervous system and single cells by RNA sequencing and liquid chromatography-tandem mass spectrometry techniques.

Arya Patel, Kevin D Clark

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

2 authors at 1 institution in 1 country.

Arya PatelDepartment of Chemistry, Tufts University, Medford, MA, 02155, USA.
Kevin D ClarkDepartment of Chemistry, Tufts University, Medford, MA, 02155, USA. clark.kd@tufts.edu.ORCID http://orcid.org/0000-0002-0576-7716
Tufts University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-transcriptional modifications to RNA constitute a newly appreciated layer of translation regulation in the central nervous system (CNS). The identity, stoichiometric quantity, and sequence position of these unusual epitranscriptomic marks are central to their function, making analytical methods that are capable of accurate and reproducible measurements paramount to the characterization of the neuro-epitranscriptome. RNA sequencing-based methods and liquid chromatography-tandem mass spectrometry (LC-MS/MS) techniques have been leveraged to provide an early glimpse of the landscape of RNA modifications in bulk CNS tissues. However, recent advances in sample preparation, separations, and detection methods have revealed that individual cells display remarkable heterogeneity in their RNA modification profiles, raising questions about the prevalence and function of cell-specific distributions of post-transcriptionally modified nucleosides in the brain. In this Trends article, we present an overview of RNA sequencing and LC-MS/MS methodologies for the analysis of RNA modifications in the CNS with special emphasis on recent advancements in techniques that facilitate single-cell and subcellular detection.

Indexed as

RNATandem Mass SpectrometryCentral Nervous SystemChromatography, LiquidRNA Processing, Post-TranscriptionalSequence Analysis, RNARNACentral nervous systemEpitranscriptomeLC–MS/MSRNA modificationsRNA sequencingSingle-cell

Identifiers

PMID36840809
OpenAlexW4321996649

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.