Evidence map›Paper›PMID 19882234›Full record

ArticleMolecular biology reports2010

Prediction and validation of conservative microRNAs of Solanum tuberosum L.

Wenzheng Yang, Xin Liu, Jianguang Zhang, Junli Feng, Chao Li, Jishuang Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biology reports, 2010. 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
3.8field-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, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

6 authors at 1 institution in 1 country.

Wenzheng YangInstitute of Bioengineering, Zhejiang Sci-Tech University, No. 2 Road, Xiasha, Hangzhou, 310018, People's Republic of China.
Xin Liu
Jianguang Zhang
Junli Feng
Chao Li
Jishuang Chen
Zhejiang Sci-Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potato (Solanum tuberosum) is an important crop around the world, and accounts for a significant amount of the food consumed by humans. However, little information is available about potato miRNAs which play important regulatory roles in plant growth and development. In the present study, computational prediction of potential miRNAs from potato revealed 71 miRNAs belonging to 48 families. Amongst these 71 mRNAs, 65 were predicted for the first time. Most potato miRNA families have one to three members, and sequence analysis showed that the candidate pre-miRNA sequences varied from 48 to 224 bp in length. To verify the predicted miRNAs, specific stem-loop RT primers were designed and real-time PCR assays were used to profile the expression levels of seven miRNAs from different tissues of potato. The results showed that all the selected miRNAs were successfully amplified. Most of them had their highest expression levels in leaves, and the lowest levels in the stem, while miR159 and miR164 presented a different expression pattern. The specific expression levels of each miRNAs in the tested tissues may be related to their particular functions in regulating potato vegetative growth and organ development.

Indexed as

Base SequenceConserved SequenceGene Expression ProfilingGene Expression Regulation, PlantMicroRNAsMolecular Sequence DataNucleic Acid ConformationReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSequence Homology, Nucleic AcidSolanum tuberosumMicroRNAs

Identifiers

PMID19882234
OpenAlexW2048104667

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.