Evidence map›Paper›PMID 36148792›Full record

ArticlePlant biotechnology journal2023

Simultaneous detection of miRNA and mRNA at the single-cell level in plant tissues.

Chi-Chih Wu, Kun-Ting Hsieh, Su-Ying Yeh, Yen-Ting Lu, Liang-Jwu Chen, Maurice S B Ku, Wen-Hsiung Li

Open access · goldAbstract read
In one paragraph

Article in Plant biotechnology journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances in applications of artificial intelligence algorithms for cancer-related miRNA research.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024
    Review
  4. 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

7 authors at 4 institutions in 2 countries.

Chi-Chih WuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID 0000-0003-1130-7051
Kun-Ting HsiehBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID 0000-0002-0740-0854
Su-Ying YehBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Yen-Ting LuBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.
Liang-Jwu ChenInstitute of Molecular Biology, National Chung Hsing University, Taichung, Taiwan.ORCID 0000-0001-7623-2738
Maurice S B KuDepartment of Agricultural Biotechnology, National Chiayi University, Chaiyi, Taiwan.
Wen-Hsiung LiBiodiversity Research Center, Academia Sinica, Taipei, Taiwan.ORCID 0000-0003-2757-5026
Biodiversity Research Center, Academia Sinica · TWNational Chiayi University · TWNational Chung Hsing University · TWUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting the simultaneous presence of a microRNA (miRNA) and a mRNA in a specific tissue can provide support for the prediction that the miRNA regulates the mRNA. Although two such methods have been developed for mammalian tissues, they have a low signal-noise ratio and/or poor resolution at the single-cell level. To overcome these drawbacks, we develop a method that uses sequence-specific miRNA-locked nucleic acid (LNA) and mRNA-LNA probes. Moreover, it augments the detection signal by rolling circle amplification, achieving a high signal-noise ratio at the single-cell level. Dot signals are counted for determining the expression levels of mRNA and miRNA molecules in specific cells. We show a high sequence specificity of our miRNA-LNA probe, revealing that it can discriminate single-base mismatches. Numerical quantification by our method is tested in transgenic rice lines with different gene expression levels. We conduct several applications. First, the spatial expression profiling of osa-miR156 and OsSPL12 in rice leaves reveals their specific expression in mesophyll cells. Second, studying rice and its mutant lines with our method reveals opposite expression patterns of miRNA and its target mRNA in tissues. Third, the dynamic expression profiles of ZmGRF8 and zma-miR396 during maize leaf development provide evidence that zma-miR396 regulates the preferential spatial expression of ZmGRF8 in bundle sheath cells. Finally, our method can be scaled up to simultaneously detect multiple miRNAs and mRNAs in a tissue. Thus, it is a sensitive and versatile technique for studying miRNA regulation of plant tissue development.

Indexed as

MicroRNAsAnimalsGene Expression Regulation, PlantMammalsPlants, Genetically ModifiedRNA, MessengerMicroRNAsRNA, Messengerin situ detectionKranz anatomyLNA probemicroRNApadlock probe

Identifiers

PMID36148792
PMCPMC9829392
OpenAlexW4296804469

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.