First Authors | Ritika Giri |
---|---|
Authors | Ritika Giri, Dimitrios Papadopoulos, Diana M Posadas, Hemanth K Potluri, Pavel Tomancak, Madhav Mani, Richard W Carthew |
Corresponding Authors | Madhav Mani, Richard W Carthew |
Last Authors | Richard W Carthew |
Journal Name | eLife (Elife) |
Volume | 9 |
Issue | |
Article Number | e53638 |
Open Access | true |
Print Publication Date | 2020-02-26 |
Online Publication Date | |
Abstract | Sensory neuron numbers and positions are precisely organized to accurately map environmental signals in the brain. This precision emerges from biochemical processes within and between cells that are inherently stochastic. We investigated impact of stochastic gene expression on pattern formation, focusing on senseless (sens), a key determinant of sensory fate in Drosophila. Perturbing microRNA regulation or genomic location of sens produced distinct noise signatures. Noise was greatly enhanced when both sens alleles were present in homologous loci such that each allele was regulated in trans by the other allele. This led to disordered patterning. In contrast, loss of microRNA repression of sens increased protein abundance but not sensory pattern disorder. This suggests that gene expression stochasticity is a critical feature that must be constrained during development to allow rapid yet accurate cell fate resolution. |
Cover Image | |
Affiliated With | Postdocs, Tomancak |
Selected By | |
Acknowledged Services | |
Publication Status | Published |
Edoc Link | |
Sfx Link | |
DOI | 10.7554/eLife.53638 |
PubMed ID | 32101167 |
WebOfScience Link | WOS:000519735500001 |
Alternative Full Text URL | |
Display Publisher Download Only | false |
Visible On MPI-CBG Website | true |
PDF Downloadable | true |
Created By | thuem |
Added Date | 2020-03-09 |
Last Edited By | herbst |
Last Edited Date | 2021-06-21 17:36:15.241 |
Library ID | 7631 |
Document ID | |
Entry Complete | true |
eDoc Compliant | true |
Include in Edoc Report | true |
In Pure | true |
Ready for eDoc Export | false |
Author Affiliations Complete | false |
Project Name | |
Project URL | |
Grant ID | |
Funding Programme | |
Funding Organisation |