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 peripheral mononuclear cells in lame dairy cows with foot lesions


Lameness is a major health issue and likely the single most common cause of pain and discomfort in dairy cattle. Appropriate treatment is delayed or neglected due, in part, to lack of reliable detection. Assessment of cows with lameness is currently limited to subjective visual scoring systems based on locomotion and posture abnormalities. These systems are unreliable to detect lameness, and therefore, a large number of cows remain undiagnosed. The objective of this research was to search for potential biomarkers for lameness-associated painful inflammatory foot lesions in dairy cattle using microarray-based gene expression profiling of peripheral blood mononuclear cells (PBMC). BOTL5 microarrays spotted in duplicate with cDNA representing bovine immune response genes were interrogated with cDNA samples in an eight-array, balanced complete block design with dye swap. Samples from eight lame cows with inflammatory foot lesions and from eight sound cows were pair-matched by age, weight, days in lactation, and pregnancy status at time of PBMC collection and directly compared with each other on individual arrays. Statistical analysis of resulting fluorescence intensity data revealed 31 genes that were putatively differentially expressed in lame versus sound cows (P < 0.05). Of these, BLASTn analysis and gene ontology information showed that 28 genes had high similarity or homology to known human and/or rodent genes. Validation of 15 of these genes known to be important in inflammation and pain was carried out using relative quantitative real-time RT-PCR, which confirmed the up-regulation of interleukin (IL)-2 (12.68 +/- 1.47-fold increase) and IL-10 (2.39 +/- 0.55-fold increase), matrix metalloprotemase-13 (MMP-13) (10.44 +/- 1.14-fold increase), and chemokine C-C motif receptor-5 (CCR5) (5.2 +/- 1.05-fold increase), in lame relative to sound cows (P < 0.05). Similarly, granulocyte-macrophage colony-stimulating factor receptor alpha chain precursor (GM-CSF-R-alpha) (2.30 +/- 0.63-fold increase) and IL-4 (2.06 +/- 0.59-fold increase) showed a tendency (P = 0.10) for up-regulation in lame compared to sound cows. PBMC co-expression of IL-2, MMP-13, CCR5 and IL-10, and potentially IL-4 and GM-CSF-R-alpha appears to be a promising, objective sign of lameness-related inflammatory foot lesions in dairy cattle. In conclusion, this study revealed potential biomarkers of the presence of foot lesions that could boost diagnostic accuracy of lameness and, ultimately, help identify animals in need of pain relief. (c) 2007 Elsevier B.V. All rights reserved.

  • US
  • NO
  • Michigan_State_Univ (US)
Data keywords
  • ontology
Agriculture keywords
  • cattle
Data topic
  • information systems
  • semantics
Document type

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

Institutions 10 co-publis
  • Michigan_State_Univ (US)
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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.