Browse Articles

How accurate is the prediction of protein structure by AlphaFold? Terwilliger et al. address this question with a rigorous assessment of the accuracy of AlphaFold-predicted structures by comparing them with experimentally determined X-ray crystallographic data.

DeepMainmast is a protein structure modeling protocol for cryo-EM that combines the strengths of a deep-learning-based de novo protein main-chain-tracing approach with AlphaFold2-based structure predictions for improved performance.

Large language models are learning the language of genomics.

Developments in nanopore-based peptide detection and sequencing show promise of a breakthrough.

Spatially resolved multimodal omics offers a collective way to capture molecular information in complex tissues.

High-resolution connectomics of the human brain is the next frontier in neuroscience.

New twists on established methods and multimodal imaging are poised to bridge gaps between cellular and organismal imaging.

Advances will enable proteome-scale structure determination in cells.

Artificial ECMs enable recapitulation of tissue microenvironments.

Advances in profiling chromosome structure help reveal the regulatory roles of gene organization.

In vivo developmental atlases provide a crucial reference for the new class of stem-cell-derived human embryo models, helping accelerate insights into the mechanisms of human development.

DARLIN enables the generation of a massive diversity of barcodes for in vivo lineage tracing and the combination with single-cell multi-omics measurements.

In vitro embryo models supported by methods development in adjacent fields have revolutionized our understanding of embryogenesis.

Advancements in methods that enable in vitro culture of mammalian embryos have become an essential way of investigating mammalian early embryonic development and modeling developmental and pregnancy-related disorders. Here, we discuss the recent method development in this space and analyze current challenges and future directions.

Two new methods enable the study of the mechanics of tissue development.

The creation of multiple stem-cell-derived models of mammalian embryogenesis is opening many new doors to study human development and brings a need for scientists to demonstrate responsible dialog over the associated ethical issues.

Research with human embryos and embryo models, this year’s Method of the Year, can be fraught. In contrast, digital embryos could be studied, even perturbed, in computational what-happens-when experiments.

Increasingly advanced in vitro stem-cell-derived human embryo models raise novel ethical questions and shed a light on long-standing questions regarding research on human embryos.