Source 1primary paper2002The Plant Journal
Toolkit/cDNA microarray
cDNA microarray
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
A cDNA microarray is a gene-expression profiling assay used in Arabidopsis to examine how phyA pathway mutations affect far-red light control of genome-wide expression. In the cited study, it was applied to profile transcriptional responses associated with phytochrome A signaling and to compare mutant expression patterns.
Usefulness & Problems
Why this is useful
This assay is useful for measuring genome-scale transcriptional changes linked to light signaling perturbations in a comparative format. In the cited application, it enabled analysis of how phyA-pathway mutations reshape far-red light-regulated expression programs and supported inference about pathway organization.
Source:
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
Problem solved
It addresses the problem of determining how mutations in the phyA signaling pathway alter far-red light-regulated genome expression in Arabidopsis. It also supports identification of overlapping and distinct transcriptional outputs among pathway components such as FAR1 and FHY3.
Problem links
Need conditional control of signaling activity
DerivedA cDNA microarray is a gene-expression assay used here to measure how phyA pathway mutations alter far-red light control of genome expression in Arabidopsis. In this study, it profiled genome-wide transcriptional responses associated with phytochrome A signaling.
Need precise spatiotemporal control with light input
DerivedA cDNA microarray is a gene-expression assay used here to measure how phyA pathway mutations alter far-red light control of genome expression in Arabidopsis. In this study, it profiled genome-wide transcriptional responses associated with phytochrome A signaling.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Mechanisms
comparative transcript abundance measurementcomparative transcript abundance measurementnucleic acid hybridizationnucleic acid hybridizationTechniques
Functional AssayTarget processes
signalingInput: Light
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationimplementation constraint: spectral hardware requirementoperating role: sensor
The available evidence indicates use of a cDNA microarray to assay genome expression changes caused by phyA-pathway mutations under far-red light in Arabidopsis. Specific array design, labeling chemistry, normalization procedures, sample preparation, and platform requirements are not described in the supplied evidence.
The supplied evidence supports use in one Arabidopsis far-red light signaling study, but it does not provide technical performance metrics such as sensitivity, dynamic range, probe content, or reproducibility. The evidence also does not describe whether findings were independently replicated beyond the cited publication.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
Approval Evidence
1 source5 linked approval claimsfirst-pass slug cdna-microarray
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
Source:
assay applicationsupports
A cDNA microarray was used to examine the effects of phyA pathway mutations on far-red light control of genome expression.
Here a cDNA microarray was used to examine effects of those mutations on the far-red light control of genome expression.
Source:
functional redundancysupports
FAR1 and FHY3 show partial functional redundancy and control a largely overlapping set of genes in phyA-mediated far-red light responses.
this study also provides genomics evidence for the partial functional redundancy between FAR1 and FHY3. These two homologous proteins control the expression of a largely overlapping set of genes, and likely act closely together in the phyA-mediated FR light responses.
Source:
pathway architecturesupports
Clustering analysis of genome expression profiles supports that phyA signaling entails a network with multiple paths controlling overlapping yet distinct sets of gene expression.
Clustering analysis of the genome expression profiles supports the notion that phyA signaling may entail a network with multiple paths, controlling overlapping yet distinct sets of gene expression.
Source:
pathway positionsupports
FHY1, FAR1, and FHY3 most likely act upstream in the phyA signaling network close to the phyA photoreceptor.
FHY1, FAR1 and FHY3 most likely act upstream in the phyA signaling network, close to the phyA photoreceptor itself.
Source:
pathway positionsupports
FIN219, SPA1, and REP1 most likely act more downstream in the phyA signaling network and control smaller sets of genes.
FIN219, SPA1 and REP1 most likely act somewhere more downstream in the network and control the expression of smaller sets of genes.
Source:
Comparisons
Source-backed strengths
The cited study used the assay for genome-wide expression analysis rather than single-gene readouts, allowing comparison of multiple phyA-pathway mutants under far-red light conditions. Clustering analysis of the resulting expression profiles supported a model in which phyA signaling comprises multiple paths controlling overlapping yet distinct gene sets, and the data indicated partial functional redundancy between FAR1 and FHY3.
Compared with IRAP-pHluorin translocation assay
cDNA microarray and IRAP-pHluorin translocation assay address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling; same primary input modality: light
cDNA microarray and light-induced Fourier transform infrared (FTIR) difference spectroscopy address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling; same primary input modality: light
Compared with reversible protein highlighting
cDNA microarray and reversible protein highlighting address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling; same primary input modality: light
Ranked Citations
- 1.