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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Differentially expressed genes in skeletal muscle tissues from castrated Qinchuan cattle males compared with those from intact males


In order to study the molecular mechanism involved in meat quality differences especially tenderness variance caused by castration in Qinchuan cattle males, this study investigated the gene expression profile of Longissimus thoracis (LT) muscle and screened differentially expressed genes in LT muscle from both intact male and castrated male Qinchuan cattle at 36 months of age utilising Bovine Genome Array. Significance Analysis of Microarrays (SAM) was used to identify the differentially expressed genes, Go (Gene Ontology) and pathway analyses were conducted on which by a free Web-based Molecular Annotation System 2.0 (MAS 2.0). Approximately 11,000 probe sets representing 10,000 genes were detected in LT muscle of 36-month-old Qinchuan cattle. After SAM analysis of the microarray data, 142 genes were shown to be differentially expressed. These genes were predominantly involved in collagen fibril organization and synthesis, regulation of cell growth and development and striated muscle contraction. The significant pathways involved mainly included ECM-receptor (extracellular matrix-receptor) interaction, cell communication and focal adhesion. Quantitative real-time PCR (qRT-PCR) was performed to validate some differentially expressed genes identified by microarray. These patterns of gene expression may contribute to understanding the molecular mechanism of better meat quality of beef derived from castrates than from intact males. (C) 2010 Elsevier B.V. All rights reserved.

  • CN
  • NW_Agr_&_Forest_Univ (CN)
Data keywords
  • ontology
Agriculture keywords
  • cattle
Data topic
  • big data
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
  • NW_Agr_&_Forest_Univ (CN)
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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.