A new study has uncovered how antidepressants affect different groups of serotonin-producing brain cells in opposite ways, ...

In a recent study published in the journal Nature, researchers developed spatial aging clocks using single-cell transcriptomics to explore cell-type-specific interactions and their impact on brain ...

Over the past decade, the Human Cell Atlas community has accomplished something that will define a generation of biology.

Polychlorinated biphenyls (PCBs) are highly stable synthetic organic compounds that are present in air, water, and soil. PCBs have been identified in post-mortem human brains, indicating a possible ...

Certain cells in the brain create a nurturing environment, enhancing the health and resilience of their neighbors, while others promote stress and damage. Using spatial transcriptomics and AI, ...

A new study has uncovered how antidepressants affect different groups of serotonin-producing brain cells in opposite ways, ...

In this issue, Alsema, Wijering, Miedema, Kotah et al. and Lerma-Martin, Badia-i-Mompel et al. demonstrate the ever-growing possibilities of spatial transcriptomics by applying it to the spatially ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

A team of Vanderbilt researchers has released a new benchmarking study that aims to assist scientists in selecting the most effective methods for analyzing spatial transcriptomics (ST) data. ST ...

Perhaps our most defining characteristic as a species, the six-layered human cortex, hosts billions of neural connections that bestow Homo sapiens with higher-order thinking. But how does this ...

This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.