scholarly journals Interphase-arrested Drosophila embryos activate zygotic gene expression and initiate mid-blastula transition events at a low nuclear-cytoplasmic ratio

PLoS Biology ◽  
2020 ◽  
Vol 18 (10) ◽  
pp. e3000891
Author(s):  
Isaac J. T. Strong ◽  
Xiaoyun Lei ◽  
Fang Chen ◽  
Kai Yuan ◽  
Patrick H. O’Farrell
Nature ◽  
1989 ◽  
Vol 340 (6232) ◽  
pp. 363-367 ◽  
Author(s):  
Wolfgang Driever ◽  
Gudrun Thoma ◽  
Christiane Nüsslein-Volhard

2021 ◽  
Author(s):  
David Jukam ◽  
Rishabh R. Kapoor ◽  
Aaron F. Straight ◽  
Jan M. Skotheim
Keyword(s):  

Development ◽  
1997 ◽  
Vol 124 (19) ◽  
pp. 3865-3869 ◽  
Author(s):  
J. Ahringer

The transition from maternal to zygotic gene control is a key process in embryogenesis. Although many maternal effect genes have been studied in the C. elegans embryo, how their activities lead to the positional expression of zygotic patterning genes has not yet been established. Evidence is presented showing that expression of the zygotic patterning gene vab-7 does not depend on cell position or cell contacts, but rather on the production of a C blastomere. Furthermore, pal-1, a caudal homologue with maternal product necessary for the proper development of the C blastomere, is both necessary and sufficient for vab-7 expression. This provides a link between maternal gene activity and zygotic patterning gene expression in C. elegans. The results suggest that zygotic patterning genes might be generally controlled at the level of blastomere fate and not by position.


2019 ◽  
Vol 17 (02) ◽  
pp. 1950009
Author(s):  
Polina Zhornikova ◽  
Nina Golyandina ◽  
Alexander Spirov

Algorithms for the estimation of noise level and the detection of noise model are proposed. They are applied to gene expression data for Drosophila embryos. The 2D data on gene expression and the extracted 1D profiles are considered. Since the 1D data contain processing errors, an algorithm for separation of these processing errors is constructed to estimate the biological noise level. An approach to discrimination between the additive and multiplicative models is suggested for the 1D and 2D cases. Singular spectrum analysis and its 2D extension are exploited for the pattern extraction. The algorithms are tested on artificial data similar to the real data. Comparison of the results, which are obtained by the 1D and 2D methods, is performed for Krüppel and giant genes.


2009 ◽  
Vol 126 ◽  
pp. S87
Author(s):  
Claire Lye ◽  
David Welchman ◽  
Juliana Gutierrez Mazariegos ◽  
Hannah Booth ◽  
Pierre-Marie Le Droguen ◽  
...  

1998 ◽  
Vol 78 (1-2) ◽  
pp. 153-158 ◽  
Author(s):  
Miho Asaoka ◽  
Hiroko Sano ◽  
Yoko Obara ◽  
Satoru Kobayashi

Fly ◽  
2011 ◽  
Vol 5 (3) ◽  
pp. 261-265 ◽  
Author(s):  
Pierre-Adiren Salmand ◽  
Magali Iché-Torres ◽  
Laurent Perrin

PLoS Genetics ◽  
2013 ◽  
Vol 9 (9) ◽  
pp. e1003748 ◽  
Author(s):  
Mathilde Paris ◽  
Tommy Kaplan ◽  
Xiao Yong Li ◽  
Jacqueline E. Villalta ◽  
Susan E. Lott ◽  
...  

PLoS ONE ◽  
2012 ◽  
Vol 7 (5) ◽  
pp. e38009 ◽  
Author(s):  
Sarah L. Kerns ◽  
Kathryn M. Schultz ◽  
Kelly A. Barry ◽  
Tina M. Thorne ◽  
Thomas J. McGarry
Keyword(s):  

Development ◽  
2010 ◽  
Vol 137 (4) ◽  
pp. 651-660 ◽  
Author(s):  
T. Venkatarama ◽  
F. Lai ◽  
X. Luo ◽  
Y. Zhou ◽  
K. Newman ◽  
...  
Keyword(s):  

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