Project Score database: a resource that will help designing the next generation of anti-cancer drugs
26 October 2020
Project Score database: a resource that will help designing the next generation of anti-cancer drugs
A new paper published by Nuclear Acids Research and co-authored by Francesco Iorio, Group Leader at the Centre for Computational Biology, describes the creation of Project Score: a web portal enabling users to estimate the potential of each gene as a therapeutic target of future anti-cancer drugs.
Project Score, created and maintained by the group of Mathew Garnett at the Wellcome Sanger Institute, allows to browse data, download free datasets, and investigate specific biological hypotheses. For example, by specifying the name of any gene, the system will offer additional information on the gene’s target-priority score, potential biomarkers and tractability, including whether there are already drugs available to inhibit the corresponding coded protein.
The data underlying this resource has been made available thanks to CRISPR Cas9 whole-genome drop out screens which allow to better understand gene function and identify dependencies in cancer cells. The system is based on a computational pipeline developed by Francesco Iorio, Fiona Behan and Mathew Garnett and data described in a paper published last year in Nature, as part of the Cancer Dependency Map initiative.
The Glastonbury Group is among the recipients of the Data Insights Cycle 3 awards. The aim of the grant is to develop a machine learning model that identifies disease-relevant cell subpopulations whilst predicting a phenotype/disease of interest from large-scale single-cell RNA-seq data.
In collaboration with an international team of scientists, HT researchers identified a missense mutation in a gene involved in brain-intrinsic immunity as the genetic cause of SARS-CoV-2 brainstem encephalitis.
A study by Human Technopole, the Institute of Cancer Research and the Royal Marsden NHS Foundation Trust in London has shown that in prostate cancer the presence in the same tumour of cells with large differences in shape and genetic composition indicates an increased risk of relapse, including after a decade. The study may help doctors better tailor treatment for this disease, adopting more aggressive therapies in cases where these parameters indicate a higher risk of disease recurrence.
Human Technopole is opening its National Facilities, providing advanced equipment and technologies accessible through calls for proposals open to the Italian scientific community. Projects will be selected by a commission of international experts. Scientists will have access to five new dedicated facilities, which act as catalysts for open innovation in the life sciences sector, crucial for research and the health of Italians.
An international team of scientists led by HT researchers Magda Bienko and Nicola Crosetto developed an open-source software for deconvolution of widefield fluorescence microscopy image stacks and large tissue scans. This new tool increases the information obtained with fluorescence microscopy-based spatial omic methods.
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