Pluripotent Pericycle Cells Trigger Different Growth Outputs by Integrating Developmental Cues into Distinct Regulatory Modules

2020 ◽  
Author(s):  
Wei Xiao ◽  
David Molina ◽  
Anna Wunderling ◽  
Dagmar Ripper ◽  
Joop Vermeer ◽  
...  
Keyword(s):  
Regulatory Modules ◽  
Pericycle Cells

Pluripotent Pericycle Cells Trigger Different Growth Outputs by Integrating Developmental Cues into Distinct Regulatory Modules

2020 ◽  
Vol 30 (22) ◽  
pp. 4384-4398.e5
Author(s):  
Wei Xiao ◽  
David Molina ◽  
Anna Wunderling ◽  
Dagmar Ripper ◽  
Joop E.M. Vermeer ◽  
...  
Keyword(s):  
Regulatory Modules ◽  
Pericycle Cells

Noncoding RNAs in Medicinal Plants and Their Regulatory Roles in Bioactive Compound Production

2020 ◽  
Vol 21 ◽  
Author(s):  
Caili Li ◽  
Meizhen Wang ◽  
Xiaoxiao Qiu ◽  
Hong Zhou ◽  
Shanfa Lu
Keyword(s):  
Medicinal Plants ◽  
Current Knowledge ◽  
Salvia Miltiorrhiza ◽  
Noncoding Rnas ◽  
Bioactive Compound ◽  
Research Field ◽  
Model Systems ◽  
Small Interfering Rnas ◽  
Regulatory Pathways ◽  
Regulatory Modules

Background: Noncoding RNAs (ncRNAs), such as microRNAs (miRNAs), small interfering RNAs (siRNAs) and long noncoding RNAs (lncRNAs), play significant regulatory roles in plant development and secondary metabolism and are involved in plant response to biotic and abiotic stresses. They have been intensively studied in model systems and crops for approximately two decades and massive amount of information have been obtained. However, for medicinal plants, ncRNAs, particularly their regulatory roles in bioactive compound biosynthesis, are just emerging as a hot research field. Objective: This review aims to summarize current knowledge on herbal ncRNAs and their regulatory roles in bioactive compound production. Results and Conclusion: So far, scientists have identified thousands of miRNA candidates from over 50 medicinal plant species and 11794 lncRNAs from Salvia miltiorrhiza, Panax ginseng, and Digitalis purpurea. Among them, more than 30 miRNAs and five lncRNAs have been predicted to regulate bioactive compound production. The regulation may achieve through various regulatory modules and pathways, such as the miR397-LAC module, the miR12112-PPO module, the miR156-SPL module, the miR828-MYB module, the miR858-MYB module, and other siRNA and lncRNA regulatory pathways. Further functional analysis of herbal ncRNAs will provide useful information for quality and quantity improvement of medicinal plants.

scholarly journals KIRMES: kernel-based identification of regulatory modules in euchromatic sequences

2009 ◽  
Vol 10 (S13) ◽  
Author(s):  
Sebastian J Schultheiss ◽  
Wolfgang Busch ◽  
Jan Lohmann ◽  
Oliver Kohlbacher ◽  
Gunnar Rätsch
Keyword(s):  
Regulatory Modules

scholarly journals The characteristics of circRNA as competing endogenous RNA in pathogenesis of acute myeloid leukemia

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Siyuan Zhang
Keyword(s):  
Acute Myeloid Leukemia ◽  
Myeloid Leukemia ◽  
Expression Profiles ◽  
Gene Expression Omnibus ◽  
The Novel ◽  
Competing Endogenous Rna ◽  
Regulatory Modules ◽  
Cerna Network ◽  
Regulatory Module ◽  
Acute Myeloid

Abstract Background As one of the novel molecules, circRNA has been identified closely involved in the pathogenesis of many diseases. However, the function of circRNA in acute myeloid leukemia (AML) still remains unknown. Methods In the current study, the RNA expression profiles were obtained from Gene Expression Omnibus (GEO) datasets. The differentially expressed RNAs were identified using R software and the competing endogenous RNA (ceRNA) network was constructed using Cytoscape. Functional and pathway enrichment analyses were performed to identify the candidate circRNA-mediated aberrant signaling pathways. The hub genes were identified by MCODE and CytoHubba plugins of Cytoscape, and then a subnetwork regulatory module was established. Results A total of 27 circRNA-miRNA pairs and 208 miRNA-mRNA pairs, including 12 circRNAs, 24 miRNAs and 112 mRNAs were included in the ceRNA network. Subsequently, a subnetwork, including 4 circRNAs, 5 miRNAs and 6 mRNAs, was established based on related circRNA-miRNA-mRNA regulatory modules. Conclusions In summary, this work analyzes the characteristics of circRNA as competing endogenous RNA in AML pathogenesis, which would provide hints for developing novel prognostic, diagnostic and therapeutic strategy for AML.

scholarly journals Dog colour patterns explained by modular promoters of ancient canid origin

2021 ◽  
Author(s):  
Danika L. Bannasch ◽  
Christopher B. Kaelin ◽  
Anna Letko ◽  
Robert Loechel ◽  
Petra Hug ◽  
...  
Keyword(s):  
Colour Pattern ◽  
Hair Cycle ◽  
Temporal And Spatial Distribution ◽  
Multiple Alleles ◽  
Haplotype Combination ◽  
Regulatory Modules ◽  
Regulatory Module ◽  
Temporal And Spatial ◽  
Selection For ◽  
Colour Patterns

AbstractDistinctive colour patterns in dogs are an integral component of canine diversity. Colour pattern differences are thought to have arisen from mutation and artificial selection during and after domestication from wolves but important gaps remain in understanding how these patterns evolved and are genetically controlled. In other mammals, variation at the ASIP gene controls both the temporal and spatial distribution of yellow and black pigments. Here, we identify independent regulatory modules for ventral and hair cycle ASIP expression, and we characterize their action and evolutionary origin. Structural variants define multiple alleles for each regulatory module and are combined in different ways to explain five distinctive dog colour patterns. Phylogenetic analysis reveals that the haplotype combination for one of these patterns is shared with Arctic white wolves and that its hair cycle-specific module probably originated from an extinct canid that diverged from grey wolves more than 2 million years ago. Natural selection for a lighter coat during the Pleistocene provided the genetic framework for widespread colour variation in dogs and wolves.

scholarly journals INSECT 2.0: a web-server for genome-widecis-regulatory modules prediction

2015 ◽  
Vol 32 (8) ◽  
pp. 1229-1231 ◽  
Author(s):  
R. Gonzalo Parra ◽  
Cristian O. Rohr ◽  
Daniel Koile ◽  
Carolina Perez-Castro ◽  
Patricio Yankilevich
Keyword(s):  
Web Server ◽  
Regulatory Modules
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