Evidence map›Paper›PMID 29062675›Full record

Article3 Biotech2017

MicroRNA-like RNAs in plant pathogenic fungus

Xuefei Jiang, Fei Qiao, Yali Long, Hanqing Cong, Huapeng Sun

Open access · greenAbstract read
In one paragraph

Article in 3 Biotech, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Discovery of microRNA-like Small RNAs in Pathogenic Plant FungusInternational journal of molecular sciences · 2022
    Article
  5. Article
  6. Article
  7. Genome-Wide Expression Profiling of Small RNAs in Indian Strain ofJournal of fungi (Basel, Switzerland) · 2021
    Article
  8. Article
  9. A Novel DCL2-Dependent Micro-Like RNAFrontiers in microbiology · 2021
    Article
  10. Review
  11. The Plant cell · 2020
    Article
  12. 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

5 authors at 2 institutions in 1 country.

Xuefei Jiang *Institute of Tropical Agriculture and Forestry, Hainan University/Hainan Key Laboratory of Sustainable Utilization of Tropical Bioresources, Haikou, 570228 China.
Fei Qiao *Key Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Ministry of Agriculture/Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 China.
Yali LongInstitute of Tropical Agriculture and Forestry, Hainan University/Hainan Key Laboratory of Sustainable Utilization of Tropical Bioresources, Haikou, 570228 China.
Hanqing CongKey Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Ministry of Agriculture/Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 China.
Huapeng SunKey Laboratory of Crop Gene Resources and Germplasm Enhancement in Southern China, Ministry of Agriculture/Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences, Danzhou, 571737 China.ORCID 0000-0001-9797-0510
Chinese Academy of Tropical Agricultural Sciences · CNHainan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNA-like RNAs (milRNAs) are short non-coding regulatory sRNAs which play an important role in regulating gene expression at the post-transcriptional level by targeting mRNAs for degradation or inhibiting protein translation. To explore the presence of milRNAs in

Indexed as

Fusarium oxysporum f. sp. NiveummilRNAPropaguleToxin gene expression

Identifiers

PMID29062675
PMCPMC5617829
OpenAlexW2759907307

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.