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.

You can access and play with the graphs:

Discover all records
Home page


Human Induced Pluripotent Stem Cells Derived Under Feeder-Free Conditions Display Unique Cell Cycle and DNA Replication Gene Profiles


Use of animal feeder layers and serum containing media in the derivation and propagation of induced pluripotent stem cells (iPSCs) can hinder clinical translation, because of the presence of xeno-material/pathogens. A defined and standardized system would be ideal for generating a homogenous population of iPSCs, which closely resembles human embryonic stem cells (hESCs). This article presents a novel and extensive comparison between in-house produced iPSCs and hESCs under "feeder" and "feeder-free" conditions, using transcriptomic genome-wide microarray analysis. We generated a list of pluripotency-associated and bivalent domain-containing genes by meta-analysis to measure qualitatively the degree of reprogramming in feeder-free derived iPSCs, in which both profiles displayed similar levels of gene expression as in hESCs. Gene ontology analysis showed that feeder-free iPSCs have enriched terms belonging to DNA repair/replication and cell cycle, which are signature to pluripotent cells. Transcriptomic data combined with directed differentiation assays, indicated that variability among iPSC lines is minimized when using a feeder-free cultural system, which may serve as a platform for further developing regenerative medicine compliant human iPSCs.

  • AU
  • Univ_New_S_Wales (AU)
  • Univ_Sydney (AU)
  • CMRI_Childrens_Med_Res_Inst (AU)
  • Sydney_Childrens_Hosp (AU)
Data keywords
  • ontology
Agriculture keywords
  • cultural system
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
  • Univ_Sydney (AU)
Powered by Lodex 8.20.3
logo commission europeenne
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.