ReviewJournal of biosciences2019
Long non-coding RNAs: Fine-tuning the developmental responses in plants.
Review in Journal of biosciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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.
The trial behind it
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Who cites it
15 citing papers in PubMed.
- ABA-Induced Transcriptomic Dynamics inPlants (Basel, Switzerland) · 2026Article
- Biochemical Defence of Plants against Parasitic Nematodes.Plants (Basel, Switzerland) · 2024Review
- Unveiling the Roles of LncRNAGenes · 2024Article
- Regulatory dynamics of gene expression in the developing male gametophyte of Arabidopsis.Plant reproduction · 2023Article
- Identification of the Genes Encoding B3 Domain-Containing Proteins Related to Vernalization ofGenes · 2022Article
- Expression Profiles and Characteristics of Apple lncRNAs in Roots, Phloem, Leaves, Flowers, and Fruit.International journal of molecular sciences · 2022Article
- Long Non-Coding RNAs as Emerging Regulators of Pathogen Response in Plants.Non-coding RNA · 2022Review
- Regulatory non-coding RNAs: Emerging roles during plant cell reprogramming andFrontiers in plant science · 2022Review
- Pervasive translation of small open reading frames in plant long non-coding RNAs.Frontiers in plant science · 2022Review
- Global profiling of RNA-chromatin interactions reveals co-regulatory gene expression networks in Arabidopsis.Nature plants · 2021Article
- Long Non-Coding RNAs, the Dark Matter: An Emerging Regulatory Component in Plants.International journal of molecular sciences · 2020Review
- Long non-coding RNAs in plants: emerging modulators of gene activity in development and stress responses.Planta · 2020Review
- Genome-wide identification and integrated analysis of lncRNAs in rice backcross introgression lines (BCBMC plant biology · 2020Article
- Identification and characterization of long non-coding RNA (lncRNA) in the developing seeds of Jatropha curcas.Scientific reports · 2020Article
- Identification and characterization of mRNAs and lncRNAs of a barley shrunken endosperm mutant using RNA-seq.Genetica · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Plant developmental biology is associated with various gene regulatory pathways involved in different phases of their life cycle. In course of development, growth and differentiation of different organs in plants are regulated by specific sets of gene expression. With the advances in genomic and bioinformatic techniques, particularly high-throughput sequencing technology, many transcriptional units with no protein-coding potential have been discovered. Previously thought to be the dark matters of genome, long non-coding RNAs (lncRNAs) are gradually gaining importance as crucial players in gene regulation during different developmental phases. Some lncRNAs, showing complementarity to microRNAs (miRNAs), are used as endogenous target mimics of specific miRNA family. A number of lncRNAs can also act as natural antisense transcripts to attenuate the expression of coding genes. Although lncRNA-mediated regulations have extensively been studied in animals, plant lncRNA research is still in its initial phase. The present review highlights the regulatory mechanism and different physiological aspects of lncRNAs in plant development. In plants, lncRNAs are found to be associated with a number of plant developmental functions such as lateral root development, vernalization, photomorphogenesis, pollen development, fiber development and nodulation. Understanding these potent roles of lncRNAs in plant development can further provide novel tools for crop improvement programs in future.
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Registered trials
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.