IRB Barcelona is to coordinate a Horizon2020 bioinformatics project that seeks to lay the groundwork for the emerging field of 3D genomics.
3D genomics provides information about the structures adopted by folded DNA inside a cell and about how they change over time and in response to alterations in cell environment. Modesto Orozco, the coordinator of the project says, “The 3D perspective will allow us to better relate changes in the genome with the corresponding diseases, because although 1D information is relevant, it falls short.”
Over three years, the project aims to provide a set of methods and integrated databases that can be used to store and process the data deriving from studies devoted to 3D genomics.
The European consortium comprises six international leading centres in method development and visualisation in 3D genomics.
Various media channels have commented on the launch of a DNA simulation tool developed by Modesto Orozco’s lab at IRB Barcelona, in collaboration with several international labs.
Published in Nature Methods, the work is available on an open-access basis through http://mmb.irbbarcelona.org/ParmBSC1/
The simulation method developed in Modesto Orozco’s laboratory allows the study—with unprecedented accuracy—of structural changes in DNA and of the interaction of DNA with proteins and drugs.
All the simulations and posterior analyses are kept in the first online tool developed to date dedicated to atomic level simulations of nucleic acids.
The platform is free of charge and available to the entire scientific community through the Spanish Institute of Bioinformatics and the European network ELIXIR-Excellerate.
In addition to other uses, the new method provides greater insight into how DNA is recognised by proteins that modify its function or by the drugs that bind to it to exert their therapeutic action, thereby furthering our understanding of the biological function of DNA.
Sharp Minds, a science dissemination blog, publishes an interview with Modesto Orozco about what drives him and his work at IRB Barcelona on bioinformatics and supercomputing -fields in which he is an international authority.
The National Bioinformatics Institute (INB) acts as the Spanish scientific node and coordinates the partner institutions. These comprises CNIO, CRG, UPF, BSC and IRB Barcelona
A study conducted in collaboration with the CSIC, BSC and UB provides a new approach to follow cellular proteins more closely.
The target proteins labelled with inntags do not show detectable alterations of function or localization.
The journal Nature Middle East has interviewed Modesto Orozco, group leader at IRB Barcelona, Director of Life Sciences at the BSC-CNS, and Professor at the UB. Orozco talks about the recent publication in Nature Methods of a study on inntags, a new method developed in collaboration with CSIC, IRB Barcelona, BSC and UB to study proteins.
See the interview in Nature Middle East
The Genetic Engineering & Biotechnology News (GEN) magazine and other media have echoed an article recently published in the Journal of the American Chemical Society (JACS) by a group of scientists led by Modesto Orozco, Group Leader at IRB Barcelona, Director of Life Sciences at the BSC-CNS, and Professor at the UB. Comprising researchers from IRB Barcelona, the University of Cambridge, and the University of New York, this group has discovered the molecular mechanism by which a type of epigenetic markers influence gene expression.
Read the article in...
The newspaper “El País” includes the announcement made by US President, Barack Obama, about the project to build a supercomputer capable of performing a trillion calculations per second. The article includes statements made by Modesto Orozco, Group Leader at IRB Barcelona, Director of Life Sciences at the BSC-CNS and Professor at the UB, who gives his opinion about the impact that this project might have on the field of biomedical research.
Read the article in El País (in Spanish)
Researchers at IRB Barcelona discover the molecular mechanism that determines how epigenetic markers influence gene expression