Functional genomics

Functional genomics uses genomic data to study gene and protein expression and function on a global scale (genome-wide or system-wide), focusing on gene transcription, translation and protein-protein interactions, and often involving high-throughput methods.

Latest Research and Reviews

News and Comment

  • Research Highlights |

    Four new studies in Nature report multi-tissue analyses of somatic mutations from human donors, with insights into cell lineage commitment during embryonic development, as well as tissue-specific aspects of mutagenesis.

    • Darren J. Burgess
  • News & Views |

    LKB1 is frequently mutated in lung, cervical and other types of cancers. To determine how LKB1 inactivation contributes to lung cancer progression, Pierce et al. employed a chromatin accessibility assay to reveal Sox17 as a key transcription factor downstream of LKB1, promoting lung cancer metastasis.

    • Skirmantas Kriaucionis
    Nature Cell Biology 23, 816-817
  • News & Views |

    Genome editing with CRISPR–Cas9 is beginning to be used clinically; promising results to date inspire hope for broad medical impact and mindfulness about safety. A new study shows that when Cas9 cuts its target, a fraction of the time, the target chromosome experiences a breakage process known as chromothripsis, thus prompting efforts to understand the potential negative consequences of this phenomenon and ways to mitigate them.

    • Fyodor D. Urnov
    Nature Genetics 53, 768-769
  • Comments & Opinion |

    The International Mouse Phenotyping Consortium reports the generation of new mouse mutant strains for more than 5,000 genes, including 2,850 novel null, 2,987 novel conditional-ready and 4,433 novel reporter alleles.

    • Marie-Christine Birling
    • , Atsushi Yoshiki
    •  & Stephen A. Murray
    Nature Genetics 53, 416-419
  • News & Views |

    Stretches of non-coding DNA that have remained identical across millions of years of evolution are typically assumed to have functional regulatory roles that would be compromised by any amount of nucleotide substitution. A new study finds that these ultraconserved regions are more robust to mutagenesis than their level of conservation would suggest.

    • Maureen Pittman
    •  & Katherine S. Pollard
    Nature Genetics 53, 429-430
  • News & Views |

    A new study builds a novel deep-learning approach to unravel the syntax of transcription-factor binding from high-resolution ChIP–nexus data. In silico simulations lead to experimental validation of complex sequence-based predictions: helical periodicity and directional cooperativity between transcription factors.

    • Emily R. Miraldi
    • , Xiaoting Chen
    •  & Matthew T. Weirauch
    Nature Genetics 53, 266-268