Evidence map›Paper›PMID 26016494›Full record

ReviewRNA biology2015

The use of high-throughput sequencing methods for plant microRNA research.

Xiaoxia Ma, Zhonghai Tang, Jingping Qin, Yijun Meng

Abstract readReview
In one paragraph

Review in RNA biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. MepmiRDB: a medicinal plant microRNA database.Database : the journal of biological databases and curation · 2019
    Article
  14. TargetingEMBO molecular medicine · 2018
    Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Characterization and Function of MicroRNAFrontiers in plant science · 2017
    Article
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

4 authors.

Xiaoxia Maa College of Life and Environmental Sciences; Hangzhou Normal University ; Hangzhou , PR China.
Zhonghai Tang
Jingping Qin
Yijun Meng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA (miRNA) acts as a critical regulator of gene expression at post-transcriptional and occasionally transcriptional levels in plants. Identification of reliable miRNA genes, monitoring the procedures of transcription, processing and maturation of the miRNAs, quantification of the accumulation levels of the miRNAs in specific biological samples, and validation of miRNA-target interactions become the basis for thoroughly understanding of the miRNA-mediated regulatory networks and the underlying mechanisms. Great progresses have been achieved for sequencing technology. Based on the high degree of sequencing depth and coverage, the high-throughput sequencing (HTS, also called next-generation sequencing) technology provides unprecedentedly efficient way for genome-wide or transcriptome-wide studies. In this review, we will introduce several HTS platform-based methods useful for plant miRNA research, including RNA-seq (RNA sequencing), RNA-PET-seq (paired end tag sequencing of RNAs), sRNA-seq (small RNA sequencing), dsRNA-seq (double-stranded RNA sequencing), ssRNA-seq (single-stranded RNA sequencing) and degradome-seq (degradome sequencing). In particular, we will provide some special cases to illustrate the novel use of HTS methods for investigation of the processing modes of the miRNA precursors, identification of the RNA editing sites on miRNA precursors, mature miRNAs and target transcripts, re-examination of the current miRNA registries, and discovery of novel miRNA species and novel miRNA-target interactions. Summarily, we opinioned that integrative use of the above mentioned HTS methods could make the studies on miRNAs more efficient.

Indexed as

High-Throughput Nucleotide SequencingMicroRNAsPlantsRNA, PlantSequence Analysis, RNAMicroRNAsRNA, Plantdegradome-seqdsRNA-seqplant microRNARNA-PET-seqsRNA-seqssRNA-seq

Identifiers

PMID26016494
PMCPMC4615803

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.