Protein secondary structures and network topologies on teal background

From systems to structure — using genetic data to model protein structures

Genetics-based structural modelling uses coevolution, deep mutational scanning and genetic or chemical–genetic interaction mapping to compute structural models of protein structures or complexes.

  • Hannes Braberg
  • Ignacia Echeverria
  • Nevan J. Krogan
Review Article

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  • In this Journal Club article, Laura Ross discusses several seminal papers that describe the discovery of germline-specific chromosomes and paternal genome elimination, striking examples of non-Mendelian genetics.

    • Laura Ross
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  • In this Tools of the Trade article, Francisco Lorenzo-Martín and Matthias Lutolf present mini-colons as a new ex vivo cancer model that incorporates microfabrication, tissue engineering and optogenetics.

    • L. Francisco Lorenzo-Martín
    • Matthias P. Lutolf
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  • In this Tools of the Trade article, Saori Sakaue describes SCENT, a tool to generate cell-type-specific enhancer–gene maps using single-cell multi-omics data, which can help identify disease-causal, non-coding variants and genes from GWAS-defined loci.

    • Saori Sakaue
    Tools of the Trade
  • In this Journal Club, Jessica Tollkuhn discusses how a paper describing genome-wide application of chromatin immunoprecipitation (ChIP)-on-chip inspired her own research into oestrogen-based gene regulation in the brain.

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Colourful exploding fireworks, made up of on individual single cells, on a black background

Single-cell omics

Many biological phenomena are either invisible or only partially characterized when interrogated using standard analyses that average data across a bulk population of cells. Now, technological advances are providing unprecedented opportunities to analyse the complexities of biological systems at the single-cell level. High-throughput analyses of the genomes, transcriptomes and proteomes of single cells are yielding novel and important insights into diverse processes such as development, gene-expression dynamics, tissue heterogeneity and disease pathogenesis. In this Focus issue, we highlight the transformative potential of single-cell omics approaches.
  • Linda Koch
Focus

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