Complex Regulatory Network for nif and fix Gene Expression in Bradyrhizobium Japonicum

1991 ◽  
pp. 203-210 ◽  
Author(s):  
H. M. Fischer ◽  
D. Anthamatten ◽  
I. Kullik ◽  
E. Morett ◽  
G. Acuña ◽  
...  
Keyword(s):  
Gene Expression ◽  
Regulatory Network ◽  
Bradyrhizobium Japonicum ◽  
Complex Regulatory Network

scholarly journals TraM of plasmid R1 controls transfer gene expression as an integrated control element in a complex regulatory network

1997 ◽  
Vol 25 (3) ◽  
pp. 495-507 ◽  
Author(s):  
Elisabeth Pölzleitner ◽  
Ellen L. Zechner ◽  
Wilfried Renner ◽  
Rainer Fratte ◽  
Bettina Jauk ◽  
...  
Keyword(s):  
Gene Expression ◽  
Regulatory Network ◽  
Integrated Control ◽  
Control Element ◽  
Transfer Gene ◽  
Plasmid R1 ◽  
Complex Regulatory Network

scholarly journals T-POP Array Identifies EcnR and PefI-SrgD as Novel Regulators of Flagellar Gene Expression

2008 ◽  
Vol 191 (5) ◽  
pp. 1498-1508 ◽  
Author(s):  
Christopher E. Wozniak ◽  
Changhan Lee ◽  
Kelly T. Hughes
Keyword(s):  
Gene Expression ◽  
Regulatory Network ◽  
Regulatory Genes ◽  
Flagellar Gene ◽  
Transcriptional Fusion ◽  
Factor Gene ◽  
Class 1 ◽  
Chromosomal Loci ◽  
Complex Regulatory Network ◽  
Flagellar Genes

ABSTRACT The T-POP transposon was employed in a general screen for tetracycline (Tet)-induced chromosomal loci that exhibited Tet-activated or Tet-repressed expression of a fliC-lac transcriptional fusion. Insertions that activated flagellar transcription were located in flagellar genes. T-POP insertions that exhibited Tet-dependent fliC-lac inhibition were isolated upstream of the ecnR, fimZ, pefI-srgD, rcsB, and ydiV genes and in the flagellar gene flgA, which is located upstream of the anti-σ28 factor gene flgM. When expressed from the chromosomal P araBAD promoter, EcnR, FimZ, PefI-SrgD, and RcsB inhibited the transcription of the flagellar class 1 flhDC operon. YdiV, which is weakly homologous to EAL domain proteins involved in cyclic-di-GMP regulation, appears to act at a step after class 1 transcription. By using a series of deletions of the regulatory genes to try to disrupt each pathway, these regulators were found to act largely independently of one another. These results identify EcnR and PefI-SrgD as additional components of the complex regulatory network controlling flagellar expression.

scholarly journals Capture, amplification, and global profiling of microRNAs from low quantities of whole cell lysate

The Analyst ◽  
2017 ◽  
Vol 142 (17) ◽  
pp. 3203-3211 ◽  
Author(s):  
Nayi Wang ◽  
Jijun Cheng ◽  
Rong Fan ◽  
Jun Lu
Keyword(s):  
Gene Expression ◽  
Regulatory Network ◽  
Transcriptional Level ◽  
Control Gene ◽  
Whole Cell Lysate ◽  
Cell Lysate ◽  
Control Gene Expression ◽  
Genome Wide ◽  
Non Coding Rnas ◽  
Complex Regulatory Network

MicroRNAs (miRNAs) are small non-coding RNAs that control gene expression at the post-transcriptional levelviaa complex regulatory network that requires genome-wide miRNA profiling to dissect.

scholarly journals Study on the Relationship between the miRNA-centered ceRNA Regulatory Network and Fatigue

2021 ◽  
Author(s):  
Xingzhe Yang ◽  
Feng Li ◽  
Jie Ma ◽  
Yan Liu ◽  
Xuejiao Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Regulatory Network ◽  
Regulatory Network ◽  
Hot Spot ◽  
Genetic Research ◽  
Noncoding Rnas ◽  
Messenger Rnas ◽  
Effective Prevention ◽  
Gene Regulatory ◽  
The Relationship

AbstractIn recent years, the incidence of fatigue has been increasing, and the effective prevention and treatment of fatigue has become an urgent problem. As a result, the genetic research of fatigue has become a hot spot. Transcriptome-level regulation is the key link in the gene regulatory network. The transcriptome includes messenger RNAs (mRNAs) and noncoding RNAs (ncRNAs). MRNAs are common research targets in gene expression profiling. Noncoding RNAs, including miRNAs, lncRNAs, circRNAs and so on, have been developed rapidly. Studies have shown that miRNAs are closely related to the occurrence and development of fatigue. MiRNAs can regulate the immune inflammatory reaction in the central nervous system (CNS), regulate the transmission of nerve impulses and gene expression, regulate brain development and brain function, and participate in the occurrence and development of fatigue by regulating mitochondrial function and energy metabolism. LncRNAs can regulate dopaminergic neurons to participate in the occurrence and development of fatigue. This has certain value in the diagnosis of chronic fatigue syndrome (CFS). CircRNAs can participate in the occurrence and development of fatigue by regulating the NF-κB pathway, TNF-α and IL-1β. The ceRNA hypothesis posits that in addition to the function of miRNAs in unidirectional regulation, mRNAs, lncRNAs and circRNAs can regulate gene expression by competitive binding with miRNAs, forming a ceRNA regulatory network with miRNAs. Therefore, we suggest that the miRNA-centered ceRNA regulatory network is closely related to fatigue. At present, there are few studies on fatigue-related ncRNA genes, and most of these limited studies are on miRNAs in ncRNAs. However, there are a few studies on the relationship between lncRNAs, cirRNAs and fatigue. Less research is available on the pathogenesis of fatigue based on the ceRNA regulatory network. Therefore, exploring the complex mechanism of fatigue based on the ceRNA regulatory network is of great significance. In this review, we summarize the relationship between miRNAs, lncRNAs and circRNAs in ncRNAs and fatigue, and focus on exploring the regulatory role of the miRNA-centered ceRNA regulatory network in the occurrence and development of fatigue, in order to gain a comprehensive, in-depth and new understanding of the essence of the fatigue gene regulatory network.

scholarly journals Inference of the Xenopus tropicalis embryonic regulatory network and spatial gene expression patterns

2014 ◽  
Vol 8 (1) ◽  
pp. 3 ◽  
Author(s):  
Zhenzhen Zheng ◽  
Scott Christley ◽  
William T Chiu ◽  
Ira L Blitz ◽  
Xiaohui Xie ◽  
...  
Keyword(s):  
Gene Expression ◽  
Regulatory Network ◽  
Expression Patterns ◽  
Xenopus Tropicalis ◽  
Gene Expression Patterns

scholarly journals Reconstruction of the Regulatory Network for Bacillus subtilis and Reconciliation with Gene Expression Data

2016 ◽  
Vol 7 ◽  
Author(s):  
José P. Faria ◽  
Ross Overbeek ◽  
Ronald C. Taylor ◽  
Neal Conrad ◽  
Veronika Vonstein ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bacillus Subtilis ◽  
Gene Expression Data ◽  
Regulatory Network ◽  
Expression Data

scholarly journals Odd-paired controls frequency doubling in Drosophila segmentation by altering the pair-rule gene regulatory network

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Erik Clark ◽  
Michael Akam
Keyword(s):  
Gene Expression ◽  
Gene Regulatory Network ◽  
Regulatory Network ◽  
Frequency Doubling ◽  
Drosophila Embryo ◽  
Anteroposterior Patterning ◽  
Regulatory Interactions ◽  
Pair Rule Gene ◽  
Gene Regulatory ◽  
Pair Rule

The Drosophila embryo transiently exhibits a double-segment periodicity, defined by the expression of seven 'pair-rule' genes, each in a pattern of seven stripes. At gastrulation, interactions between the pair-rule genes lead to frequency doubling and the patterning of 14 parasegment boundaries. In contrast to earlier stages of Drosophila anteroposterior patterning, this transition is not well understood. By carefully analysing the spatiotemporal dynamics of pair-rule gene expression, we demonstrate that frequency-doubling is precipitated by multiple coordinated changes to the network of regulatory interactions between the pair-rule genes. We identify the broadly expressed but temporally patterned transcription factor, Odd-paired (Opa/Zic), as the cause of these changes, and show that the patterning of the even-numbered parasegment boundaries relies on Opa-dependent regulatory interactions. Our findings indicate that the pair-rule gene regulatory network has a temporally modulated topology, permitting the pair-rule genes to play stage-specific patterning roles.

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