2014
DOI: 10.1089/omi.2014.0128
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 netwo… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

1
18
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 14 publications
(19 citation statements)
references
References 54 publications
1
18
0
Order By: Relevance
“…; Bernabò et al. ). In this way, females can remotely (and selectively) prepare sperm for fertilization before they reach the egg (Rosengrave et al.…”
Section: Discussionmentioning
confidence: 96%
See 4 more Smart Citations
“…; Bernabò et al. ). In this way, females can remotely (and selectively) prepare sperm for fertilization before they reach the egg (Rosengrave et al.…”
Section: Discussionmentioning
confidence: 96%
“…Until now, sperm‐egg recognition and the acrosome reaction have traditionally been assumed to be mediated by the molecules expressed on the surfaces of eggs and sperm (Bernabò et al. ). However, recent studies have challenged this view by showing that many key fertilization molecules are not situated directly on gametes, but are dispersed through female (or egg)‐–derived fluids (Griffiths et al.…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations