Evidence map›Paper›PMID 30945176›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

An Overview of Methodologies in Studying lncRNAs in the High-Throughput Era: When Acronyms ATTACK!

Hsiao-Lin V Wang, Julia A Chekanova

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Journal of virology · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Bioinformatic Analysis ofInternational journal of molecular sciences · 2022
    Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. 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.

Hsiao-Lin V WangGuangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, Guangxi, China.
Julia A ChekanovaGuangxi Key Laboratory of Sugarcane Biology, Guangxi University, Nanning, Guangxi, China. chekanovaj@gmail.com.

Funding

Role of the S. cerevisiae Pab1p in mRNA biogenesisR01GM073872 · NIGMS · UNIVERSITY OF MISSOURI KANSAS CITY · PI CHEKANOVA, JULIA A · 2006 to 2009
$1.0M
NIGMS NIH HHS R01 GM073872
6 · The paper itself

Abstract

The discovery of pervasive transcription in eukaryotic genomes provided one of many surprising (and perhaps most surprising) findings of the genomic era and led to the uncovering of a large number of previously unstudied transcriptional events. This pervasive transcription leads to the production of large numbers of noncoding RNAs (ncRNAs) and thus opened the window to study these diverse, abundant transcripts of unclear relevance and unknown function. Since that discovery, recent advances in high-throughput sequencing technologies have identified a large collection of ncRNAs, from microRNAs to long noncoding RNAs (lncRNAs). Subsequent discoveries have shown that many lncRNAs play important roles in various eukaryotic processes; these discoveries have profoundly altered our understanding of the regulation of eukaryotic gene expression. Although the identification of ncRNAs has become a standard experimental approach, the functional characterization of these diverse ncRNAs remains a major challenge. In this chapter, we highlight recent progress in the methods to identify lncRNAs and the techniques to study the molecular function of these lncRNAs and the application of these techniques to the study of plant lncRNAs.

Indexed as

Transcription, GeneticHigh-Throughput Nucleotide SequencingPlantsRNA, Long NoncodingRNA, PlantRNA, Long NoncodingRNA, PlantHigh-throughput methodslncRNAsNoncoding RNAsPlant lncRNAsRNA interactionsRNA methodsRNA secondary structures

Identifiers

PMID30945176
PMCPMC6684206

What OpenQuestion holds

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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.