Studying primary pair-rule gene eve in the early development of Drosophila by using Zelda as approach.
DOI:
https://doi.org/10.61173/3sxyhh24Abstract
This paper mainly studies the primary pair-rule gene Even-skipped to reveal its position in the early transcription network established in the Drosophila embryo and gain a deeper view of the network. We used the genome activator Zelda as an approach. We found Zelda’s role in regulating Eve by committing CHIP- seq towards RNA polymerase and Zelda protein in wt and Zld- embryo. With the PWM matrix, we know transcription factors that might bind to eve. By further researching its TFs, we find the relationship between timing and pattern of expression of these genes involved in the early transcriptional network, while Zld is still our approach. Also, by looking into the specific gene, we find the possible timing mechanism on Eve based on the accumulation of earlier transcribed transcription factors. The role of maternally loaded transcription factors in early development is once again shown by affecting the timing and patterning of primary patterning transcription factors.
References
[1] Surkova, Y. , E V, Golubkova, L A, Mamon, & M G, et al. (2018). [morphogenetic networks which determine the spatial expression of zygotic genes in early drosophila embryo]. Ontogenez.
[2] Abbie, S. , Core, L. J. , Catherine, S. , Lis, J. T. , & Ashe, H. L. . (2019). Extensive polymerase pausing during Drosophila axis patterning enables high-level and pliable transcription.
[3] Aure, M. R. , Fleischer, T. , Bjorklund, S. , Ankill, J. , Castro-Mondragon, J. A. , & Borresen-Dale, A. L. , et al. (2020). Crosstalk between microRNA expression and DNA methylation drive the hormone-dependent phenotype of breast cancer. Cold Spring Harbor Laboratory.
[4] Nirusimhan, V. , Gideon, D. A. , Parashar, A. , Jeyachandran, S. , Jeyaraman, J. , & Subbaraj, G. , et al. (2022). Structural modeling of drosophila melanogaster gut cytochrome p450s and docking comparison of fruit fly gut and human cytochrome p450s. Current drug metabolism (4), 23.
[5] Caccuri, F. , Messali, S. , Zani, A. , Campisi, G. , Giovanetti, M. , & Zanussi, S. , et al. (2022). Hiv-1 mutants expressing b cell clonogenic matrix protein p17 variants are increasing their prevalence worldwide. Proceedings of the National Academy of Sciences of the United States of America. (27), 119.
[6] Tomancak P, Beaton A, Weiszmann R, Kwan E, Shu S, Lewis SE, et al. (2002). Systematic determination of patterns of gene expression during Drosophila embryogenesis. Genome Biol.;3(12):RESEARCH0088. PMCID: 151190Retrieved fromhttps://insitu.fruitfly.org/
[7] Sureka, R. , Avvaru, A. K. , Sowpati, D. T. , Pathak, R. U. , & Mishra, R. K. . (2022). Structural and developmental dynamics of matrix associated regions indrosophila melanogastergenome. BMC Genomics, 23(1). [8] Stanojevic D, Small S, Levine M (1991) Regulation of a segmentation stripe by overlapping activators and repressors in the Drosophila embryo. Science 254: 1385–1387. (cited in Nien, Liang Plos Gen 2011Temporal Coordination of Gene Networks by Zelda in the Early Drosophila Embryo)
[9] Kraut R, Levine M (1991) Mutually repressive interactions between the gap genes giant and Kruppel define middle body regions of the Drosophila embryo. Development 111: 611–621. (cited in Nien,Liang Plos Gen 2011Temporal Coordination of Gene Networks by Zelda in the Early Drosophila embryo
[10] Shen-Orr SS, Milo R, Mangan S, Alon U (2002) Network motifs in the transcriptional regulation network of Escherichia coli. Nat Genet 31: 64–68. (cited inNien,Liang Plos Gen 2011Temporal Coordination of Gene Networks by Zelda in the Early Drosophila Embryo)
[11] Mangan S, Alon U (2003) Structure and function of the feed-forward loop network motif. Proc Natl Acad Sci U S A 100: 11980–11985.. (cited inNien,Liang Plos Gen 2011Temporal Coordination of Gene Networks by Zelda in the Early Drosophila Embryo)
[12] Davydov, A. , Jafarpour, S. , Abate, M. , Bullo, F. , & Coogan, S. . (2022). Comparative analysis of interval reachability for robust implicit and feedforward neural networks.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 by the authors.
This work is licensed under a Creative Commons Attribution 4.0 International License.
