Complementation hypothesis: the necessity of a monoallelic gene expression mechanism in mammalian development

2006 ◽  
Vol 113 (1-4) ◽  
pp. 24-30 ◽  
Author(s):  
T. Kaneko-Ishino ◽  
T. Kohda ◽  
R. Ono ◽  
F. Ishino
Keyword(s):  
Gene Expression ◽  
Mammalian Development ◽  
Expression Mechanism

Profile of a mammalian sperm receptor

Development ◽  
1990 ◽  
Vol 108 (1) ◽  
pp. 1-17 ◽  
Author(s):  
P.M. Wassarman
Keyword(s):  
Gene Expression ◽  
Zona Pellucida ◽  
Specific Gene ◽  
Mammalian Development ◽  
Unique Nature ◽  
Mammalian Fertilization ◽  
Species Specific ◽  
Available Information ◽  
Mammalian Eggs ◽  
Sperm Receptor

Complementary molecules on the surface of eggs and sperm are responsible for species-specific interactions between gametes during fertilization in both plants and animals. In this essay, several aspects of current research on the mouse egg receptor for sperm, a zona pellucida glycoprotein called ZP3, are addressed. These include the structure, synthesis, and functions of the sperm receptor during oogenesis and fertilization in mice. Several conclusions are drawn from available information. These include (I) ZP3 is a member of a unique class of glycoproteins found exclusively in the extracellular coat (zona pellucida) of mammalian eggs. (II) ZP3 gene expression is an example of oocyte-specific and, therefore, sex-specific gene expression during mammalian development. (III) ZP3 is a structural glycoprotein involved in assembly of the egg extracellular coat during mammalian oogenesis. (IV) ZP3 is a sperm receptor involved in carbohydrate-mediated gamete recognition and adhesion during mammalian fertilization. (V) ZP3 is an inducer of sperm exocytosis (acrosome reaction) during mammalian fertilization. (VI) ZP3 participates in the secondary block to polyspermy following fertilization in mammals. (VII) The extracellular coat of other mammalian eggs contains a glycoprotein that is functionally analogous to mouse ZP3. The unique nature, highly restricted expression, and multiple roles of ZP3 during mammalian development make this glycoprotein a particularly attractive subject for investigation at both the cellular and molecular levels.

scholarly journals Transcriptome of the parasitic flatworm Schistosoma mansoni during intra-mammalian development

2019 ◽  
Author(s):  
Arporn Wangwiwatsin ◽  
Anna V. Protasio ◽  
Shona Wilson ◽  
Christian Owusu ◽  
Nancy E. Holroyd ◽  
...  
Keyword(s):  
Gene Expression ◽  
Schistosoma Mansoni ◽  
Chronic Infection ◽  
Egg Laying ◽  
Mammalian Host ◽  
Expression Data ◽  
Mammalian Development ◽  
Host Parasite Interactions ◽  
Parasitic Flatworm ◽  
Host Parasite

AbstractSchistosomes are parasitic blood flukes that survive for many years within the mammalian host vasculature. How the parasites establish a chronic infection in the hostile bloodstream environment, whilst evading the host immune response is poorly understood. The parasite develops morphologically and grows as it migrates to its preferred vascular niche, avoiding or repairing damage from the host immune system. In this study, we investigated temporal changes in gene expression during the intra-mammalian development of Schistosoma mansoni. RNA-seq data were analysed from parasites developing in the lung through to egg-laying mature adult worms, providing a comprehensive picture of in vivo intra-mammalian development. Remarkably, genes involved in signalling pathways, developmental control, and adaptation to oxidative stress were up-regulated in the lung stage. The data also suggested a potential role in immune evasion for a previously uncharacterised gene. This study not only provides a large and comprehensive data resource for the research community, but also reveals new directions for further characterising host–parasite interactions that could ultimately lead to new control strategies for this neglected tropical disease pathogen.Author SummaryThe life cycle of the parasitic flatworm Schistosoma mansoni is split between snail and mammalian (often human) hosts. An infection can last for more than 10 years, during which time the parasite physically interacts with its mammalian host as it moves through the bloodstream, travelling through the lungs and liver, to eventually establish a chronic infection in the blood vessels around the host gut. Throughout this complex journey, the parasite develops from a relatively simple larval form into a more complex, sexually reproducing adult. To understand the molecular basis of parasite interactions with the host during this complex journey we have produced genome-wide expression data from developing parasites. The parasites were collected from experimentally-infected mice over its developmental time-course from the poorly studied lung stage, to the fully mature egg-laying adult worm. The data highlight many genes involved in processes known to be associated with key stages of the infection. In addition, the gene expression data provide a unique view of interactions between the parasite and the immune system in the lung, including novel players in host-parasite interactions. A detailed understanding of these processes may provide new opportunities to design intervention strategies, particularly those focussed on the early stages of the infection that are not targeted by current chemotherapy.

Plant microRNAs: master regulator of gene expression mechanism

2015 ◽  
Vol 39 (11) ◽  
pp. 1185-1190 ◽  
Author(s):  
Riddhi Datta ◽  
Soumitra Paul
Keyword(s):  
Gene Expression ◽  
Master Regulator ◽  
Expression Mechanism

A priori, de novo mathematical exploration of gene expression mechanism via regression viewpoint with briefly cataloged modeling antiquity

2016 ◽  
Vol 10 (01) ◽  
pp. 1750006
Author(s):  
Shaurya Jauhari ◽  
S. A. M. Rizvi
Keyword(s):  
Gene Expression ◽  
De Novo ◽  
A Priori ◽  
Mathematical Framework ◽  
Reaction Synthesis ◽  
Expression Data ◽  
Boolean Models ◽  
Mathematical Exploration ◽  
Mathematical Techniques ◽  
Expression Mechanism

Various algorithms have been devised to mathematically model the dynamic mechanism of the gene expression data. Gillespie’s stochastic simulation (GSSA) has been exceptionally primal for chemical reaction synthesis with future ameliorations. Several other mathematical techniques such as differential equations, thermodynamic models and Boolean models have been implemented to optimally and effectively represent the gene functioning. We present a novel mathematical framework of gene expression, undertaking the mathematical modeling of the transcription and translation phases, which is a detour from conventional modeling approaches. These subprocesses are inherent to every gene expression, which is implicitly an experimental outcome. As we foresee, there can be modeled a generality about some basal translation or transcription values that correspond to a particular assay.

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