2017
DOI: 10.1523/jneurosci.3286-16.2017
|View full text |Cite
|
Sign up to set email alerts
|

A Screening of UNF Targets Identifies Rnb, a Novel Regulator of Drosophila Circadian Rhythms

Abstract: . To gain more insight into the mechanisms by which UNF contributes to the functioning of the circadian master pacemaker, we identified UNF target genes using chromatin immunoprecipitation. Our data demonstrate that a previously uncharacterized gene CG7837, which we termed R and B (Rnb), acts downstream of UNF to regulate the function of the s-LNvs as the master circadian pacemaker. Mutations and LNv-targeted adult-restricted knockdown of Rnb impair locomotor rhythms. RNB localizes to the nucleus, and its loss… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 8 publications
(8 citation statements)
references
References 43 publications
0
7
0
Order By: Relevance
“…For quantification of CCHa1 staining, the polygon selection tool of Fiji was used to select each cell body of the DN 1a neurons. For quantification of PDF staining and area of branching at the s-LN v terminals, the polygon selection tool was used to select the area of the branching s-LN v dorsal terminals that were visualized upon Z-projection of multiple confocal stacks ( Kozlov et al, 2017 ). To visualize projections of the DN 1a , s-LN v , and l-LN v neurons, we traced and reconstituted their projections using the Fiji plugin Simple Neurite Tracer ( Longair et al, 2011 ).…”
Section: Methodsmentioning
confidence: 99%
“…For quantification of CCHa1 staining, the polygon selection tool of Fiji was used to select each cell body of the DN 1a neurons. For quantification of PDF staining and area of branching at the s-LN v terminals, the polygon selection tool was used to select the area of the branching s-LN v dorsal terminals that were visualized upon Z-projection of multiple confocal stacks ( Kozlov et al, 2017 ). To visualize projections of the DN 1a , s-LN v , and l-LN v neurons, we traced and reconstituted their projections using the Fiji plugin Simple Neurite Tracer ( Longair et al, 2011 ).…”
Section: Methodsmentioning
confidence: 99%
“…Of note, no statistical difference in axonal areas was detected between ZT2 and ZT14 both in the mutants and the control genotype ( Fig 3C). Thus, this quantification method was probably not sensitive enough to detect daily structural changes in this genetic background, although the same method successfully detected rhythmic changes in axonal structure in our previous study [40]. Nevertheless, these observations suggest that NOS deficiency leads to defects in the morphology of s-LNvs dorsal projections and disturbances in the rhythms of PDF accumulation.…”
Section: Nos Is a Regulator Of Morphogenesis Of The S-lnv Axonsmentioning
confidence: 68%
“…The anti-PER signal was quantified as previously described [14]. Axonal branching patterns of s-LNvs and PDF levels were quantified as previously described [40].…”
Section: Immunocytochemistry Microscopy and Quantificationmentioning
confidence: 99%
“…The mean pixel value of each cell in a given subgroup was calculated by subtracting the mean pixel value of the background and plotted as relative intensity normalized to the value of the control group at CT0. PDF levels in the s-LNv dorsal terminals were measured as described in Kozlov et al (2017) . Briefly, the region of interest (ROI) for the axonal termini (from the tip of the s-LNv dorsal termini until where the terminal arbors first branch) was specified manually with the polygon selection tool in Fiji and the intensity sum within each ROI was measured.…”
Section: Methodsmentioning
confidence: 99%