Evidence map›Paper›PMID 36903962›Full record

ArticlePlants (Basel, Switzerland)2023

Network of miR396-mRNA in Tissue Differentiation in Moso Bamboo (

Ying Li, Naresh Vasupalli, Ou Cai, Xiaofang Lin, Hongyu Wu

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In one paragraph

Article in Plants (Basel, Switzerland), 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
–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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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.

Ying LiNational State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing 100102, China.
Naresh VasupalliBamboo Industry Institute, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China.
Ou CaiCo-Innovation Center for Sustainable Forestry in Southern China/Bamboo Research Institute, Nanjing Forestry University, Nanjing 210037, China.
Xiaofang LinNational State Forestry and Grassland Administration Key Open Laboratory on the Science and Technology of Bamboo and Rattan, Institute of Gene Science and Industrialization for Bamboo and Rattan Resources, International Centre for Bamboo and Rattan, Beijing 100102, China.
Hongyu WuCo-Innovation Center for Sustainable Forestry in Southern China/Bamboo Research Institute, Nanjing Forestry University, Nanjing 210037, China.

Funding

National Key Research & Development Program of China 2021YFD2200503National Natural Science Foundation of China 31901371
6 · The paper itself

Abstract

MiR396 plays an essential role in various developmental processes. However, the miR396-mRNA molecular network in bamboo vascular tissue differentiation during primary thickening has not been elucidated. Here, we revealed that three of the five members from the miR396 family were overexpressed in the underground thickening shoots collected from Moso bamboo. Furthermore, the predicted target genes were up/down-regulated in the early (S2), middle (S3) and late (S4) developmental samples. Mechanistically, we found that several of the genes encoding protein kinases (PKs), growth-regulating factors (GRF), transcription factors (TFs), and transcription regulators (TRs) were the potential targets of miR396 members. Moreover, we identified QLQ (Gln, Leu, Gln) and WRC (Trp, Arg, Cys) d omains in five

Indexed as

bamboo shootmiR396networkseedlingtissue differentiationtranscription factor

Identifiers

PMID36903962
PMCPMC10005394

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read22
table measurements read10
reference markers read2
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.