Juno is the egg Izumo receptor and is essential for mammalian fertilization

Bianchi, Enrica; Doe, Brendan; Goulding, David; Wright, Gavin J.

doi:10.1038/nature13203

Cited by 531 publications

(595 citation statements)

References 48 publications

(58 reference statements)

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“…This figure is modified from [43]. Recently, JUNO was identified as a IZUMO1 interacting factor [5].…”

Section: Resultsmentioning

confidence: 99%

Mechanism of Fertilization: A Modern View

Okabe

2014

Exp. Anim.

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Despite numerous studies on mammalian fertilization, the mechanisms of fertilizationincluding the timing of acrosome reaction-remain largely unknown; more accurately described, the classical theory built upon years of layered experimental data is being challenged by recent conflicting evidence provided by gene-manipulated animals. Although in vitro fertilization remains our central research tool, the classical theory's decline reminds us of the importance of in vivo observations. Here, I describe the essential roles of gene-manipulated animals in elucidating the mechanism of fertilization and the pitfalls of in vitro fertilization studies trapping many researchers.

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“…This figure is modified from [43]. Recently, JUNO was identified as a IZUMO1 interacting factor [5].…”

Section: Resultsmentioning

confidence: 99%

Mechanism of Fertilization: A Modern View

Okabe

2014

Exp. Anim.

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“…For instance, the Izumo1 -/-mice are infertile but izumo1 is not a hub and it belongs to the cluster C. This, in our opinion, could be due to different reasons. First, in many cases our knowledge of molecular interaction of elements involved in SERB is incomplete or in rapid development (see the recent article from Bianchi et al, 2014 describing the interaction of izumo1 with Juno). In addition, our investigations have an intrinsic limit due to the impossibility to analyze the SERBN as a directed network (the networks produced by Agilent Literature Search 3.0.3 beta are undirected).…”

Section: Discussionmentioning

confidence: 99%

Network Analyses of Sperm–Egg Recognition and Binding: Ready to Rethink Fertility Mechanisms?

Bernabò

Ordinelli

Agostino

et al. 2014

OMICS: A Journal of Integrative Biology

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The rapid growth of published literature makes biomedical text mining increasingly invaluable for unpacking implicit knowledge hidden in unstructured text. We employed biomedical text mining and biological networks analyses to research the process of sperm egg recognition and binding (SERB). We selected from the literature the molecules expressed either on spermatozoa or on oocytes thought to be involved in SERB and, using an automated literature search software (Agilent Literature Search), we realized a network, SERBN, characterized by a hierarchical scale free and a small world topology. We used an integrated approach, either based on selection of hubs or by a cluster analysis, to discern the key molecules of SERB. We found that in most cases some of them are not directly situated on spermatozoa and oocyte, but are dispersed in oviductal fluid or embedded in exosomes present in the perivitelline space. To confirm and validate our results, we performed further analyses using STRING and Reactome FI software. Our findings underscore that the fertility is not a property of gametes in isolation, but rather depends on the functional integrity of the entire reproductive system. These observations collectively underscore the importance of integrative biology in exploring biological systems and in rethinking of fertility mechanisms in the light of this innovative approach.

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“…This sperm‐specific transmembrane protein possesses the IZUMO‐specific domain and immunoglobulin domain. Further observations showed that this protein is originally distributed in the acrosomal principal segment of mature spermatozoa, is translocated to the surface of the equatorial segment during the acrosome reaction,60 and that subsequently the IZUMO1 of the equatorial segment binds to its receptor “JUNO” of the oocyte plasma membrane in the perivitelline space and mediates sperm fusion with the oocyte plasma membrane 61. In the bovine testes (Japanese Black cattle), an ortholog of mouse Izumo1 gene was expressed 62.…”

Section: Acrosomal Proteinsmentioning

confidence: 99%

Protein biomarkers for male artificial insemination subfertility in bovine spermatozoa

Harayama

Minami

Kishida

et al. 2017

Reprod Medicine & Biology

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BackgroundAlthough artificial insemination (AI) technique is an established biotechnology for bovine reproduction, the results of AI (conception rates) have a tendency to decline gradually. To our annoyance, moreover, AI‐subfertile bulls have been occasionally found in the AI centers. To resolve these serious problems, it is necessary to control the sperm quality more strictly by the examinations of sperm molecules.MethodsWe reviewed a number of recent articles regarding potentials of bovine sperm proteins as the biomarkers for bull AI‐subfertility and also showed our unpublished supplemental data on the bull AI‐subfertility associated proteins.Main findingsBull AI‐subfertility is caused by the deficiency or dysfunctions of various molecules including regulatory proteins of ATP synthesis, acrosomal proteins, nuclear proteins, capacitation‐related proteins and seminal plasma proteins.ConclusionIn order to control the bovine sperm quality more strictly by the molecular examinations, it is necessary to select suitable sperm protein biomarkers for the male reproductive problems which happen in the AI centers.

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Juno is the egg Izumo receptor and is essential for mammalian fertilization

Cited by 531 publications

References 48 publications

Mechanism of Fertilization: A Modern View

Mechanism of Fertilization: A Modern View

Network Analyses of Sperm–Egg Recognition and Binding: Ready to Rethink Fertility Mechanisms?

Protein biomarkers for male artificial insemination subfertility in bovine spermatozoa

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