[Advances in the research of microRNA in Orchidaceae].

Sheng Wu Gong Cheng Xue Bao

College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, Jiangsu, China.

Published: January 2022

As a class of small non-coding RNAs, microRNA (miRNA) is widely present and plays important regulatory roles in plant growth, development and stress response. Based on the mechanism of miRNAs in plants, we review the identification of miRNAs in some genera of Orchidaceae, the specific functions of several miRNAs and other relevant studies on miRNAs in the last decade, in order to provide a reference for better understanding function and regulatory network of small RNAs in orchids.

Download full-text PDF

Source
http://dx.doi.org/10.13345/j.cjb.210118DOI Listing

Publication Analysis

Top Keywords

[advances microrna
4
microrna orchidaceae]
4
orchidaceae] class
4
class small
4
small non-coding
4
non-coding rnas
4
rnas microrna
4
microrna mirna
4
mirna plays
4
plays regulatory
4

Similar Publications

Prostate cancer is the second most common type of cancer in male worldwide. Stromal-epithelial interaction is thought to have a major impact on cancer development and progression. Previous studies have shown that interaction via soluble factors lead to a reduction in the expression of xCT and AL122023.

View Article and Find Full Text PDF

Precise imaging of noncoding RNAs (ncRNAs) in specific organelles allows decoding of their functions at subcellular level but lacks advanced tools. Here we present a DNA-based nanobiotechnology for spatially selective imaging of ncRNA (e.g.

View Article and Find Full Text PDF

Background: Osteoporosis is a common age-related disease with disabling consequences, the early diagnosis of which is difficult due to its long and hidden course, which often leads to diagnosis only after a fracture. In this regard, great expectations are placed on advanced developments in machine learning technologies aimed at predicting osteoporosis at an early stage of development, including the use of large data sets containing information on genetic and clinical predictors of the disease. Nevertheless, the inclusion of DNA markers in prediction models is fraught with a number of difficulties due to the complex polygenic and heterogeneous nature of the disease.

View Article and Find Full Text PDF

Endometrial injury caused by repeated uterine procedures, infections, inflammation, or uterine artery dysfunction can deplete endometrial stem/progenitor cells and impair regeneration, thereby diminishing endometrial receptivity and evidently lowering the live birth, clinical pregnancy, and embryo implantation rates. Currently, safe and effective clinical treatment methods or gene-targeted therapies are unavailable, especially for severe endometrial injury. Umbilical cord mesenchymal stem cells and their extracellular vesicles are characterized by their simple collection, rapid proliferation, low immunogenicity, and tumorigenicity, along with their involvement in regulating angiogenesis, immune response, cell apoptosis and proliferation, inflammatory response, and fibrosis, Therefore, these cells and vesicles hold broad potential for application in endometrial repair.

View Article and Find Full Text PDF

Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification.

Comput Struct Biotechnol J

December 2024

Interdisciplinary Research Centre on Biomaterials (CRIB), Università degli Studi di Napoli "Federico II", Piazzale Tecchio 80, Naples 80125, Italy.

MicroRNAs (miRNAs) are pivotal biomarkers for cancer screening. Identifying distinctive expression patterns of miRNAs in specific cancer types can serve as an effective strategy for classification and characterization. However, the development of a minimal signature of miRNAs for accurate cancer classification remains challenging, hindered by the lack of integrated approaches that systematically analyse miRNA expression levels of miRNAs alongside their associated biological pathways.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!