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Computational Tool for Single-Cell Transcriptomics Reveals Gene Network Plasticity

June 10, 2019 / genengnews

A team of investigators at the National Centre for Genomic Analysis (CNAG-CRG) in Barcelona has developed a new computational tool, based on the mathematical Graph theory, to infer global, large-scale regulatory networks, from healthy and pathological organs, such as those affected by diabetes or Alzheimer’s disease. Findings from the new study—published recently in Genome Biology through an article titled “Single-cell transcriptomics unveils gene regulatory network plasticity”—were able to pinpoint genes relevant to organ function and potential drivers of diseases. Although the knowledge we have about human cells and tissues has steadily increased over recent decades, many things remain unknown. For instance, cells exist in transient, dynamic states and understanding them is fundamental to decipher diseases and find cures. Classic techniques used in the lab to study cell types faced limitations and did not enable a finely detailed profile of cell function...