e-infrastructure Roadmap for Open Science in Agriculture

A bibliometric study

The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.

This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.

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Gene Expression Profiling of Single Bovine Embryos Uncovers Significant Effects of In Vitro Maturation, Fertilization and Culture


In vitro production (IVP) has been shown to affect embryonic gene expression and often result in large offspring syndrome (LOS) in cattle and sheep. To dissect the effects of in vitro maturation, fertilization and culture on bovine embryos, we compared the expression profiles of single blastocysts generated by: (1) in vitro maturation, fertilization and culture (IVF); (2) in vivo maturation, fertilization and in vitro culture (IVD); and (3) in vivo maturation, fertilization and development (AI). To conduct expression profiling, total RNA was isolated from individual embryos, linearly amplified and hybridized to a custom bovine cDNA microarray containing approximately 6,300 unique genes. There were 306, 367, and 200 genes differentially expressed between the AI and IVD, IVF and IVD, and AI and IVF comparisons, respectively. Interestingly, 44 differentially expressed genes were identified between the AI embryos and both the IVF and IVD embryos, making these potential candidates for LOS. There were 60 genes differentially expressed between the IVF embryos and the AI and IVD embryos. The Gene Ontology category "RNA processing" was over-represented among the genes that were down-regulated in the IVF embryos, indicating an effect of in vitro oocyte maturation/fertilization on the ability to transcribe maternal RNA stores. A culture effect on the expression of genes involved in translation was also observed by the comparison of AI with IVD embryos.

  • US
  • FR
  • Univ_Illinois_Urbana_Champaign (US)
  • Inra (FR)
  • Univ_Connecticut (US)
  • Henderson_Vet_Associates (US)
  • Worcester_Polytech_Inst_WPI (US)
Data keywords
  • ontology
Agriculture keywords
  • cattle
Data topic
  • semantics
Document type

Inappropriate format for Document type, expected simple value but got array, please use list format

Institutions 10 co-publis
  • Univ_Illinois_Urbana_Champaign (US)
  • Inra (FR)
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e-ROSA - e-infrastructure Roadmap for Open Science in Agriculture has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 730988.
Disclaimer: The sole responsibility of the material published in this website lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein.