Many questions in population genetics require reconstructing evolutionary history through time, such as inferring how population structure has changed throughout the past. Yet, many existing approaches have only an implicit temporal component, using quantities such as allele frequency or haplotype length as rough proxi...
Yun Deng, Jonathan K. Pritchard, J. Spence· bioRxiv· 1 citation
An automated framework that converts research papers into artificial intelligence (AI) agents, Paper2Agent introduces a paradigm for knowledge dissemination and a collaborative ecosystem of AI co-scientists.
Jia-Cheng Miao, Joe R. Davis, Yao-Hui Zhang et al.· Nature· 5 citations
This study perturbed all expressed genes across 22 million primary human CD4+ T cells from four donors and developed a probe-based perturb-seq platform to measure the transcriptome effects in cells at rest and after stimulation, allowing it to map genes regulating immune pathways, including previously uncharacterized r...
Ronghui Zhu, E. Dann, Jun Yan et al.· Cell· 1 citation
Using a population genetics framework, it is shown that brain-related traits have large mutational target sizes, with underlying variants shaped by strong selective constraints, contributing to a general understanding of how evolutionary forces shape heritable variation in human populations.
Huisheng Zhu, Yuval B. Simons, J. Spence et al.· Proceedings of the National...· 1 citation
A virus-like particle (VLP)-based toolkit that delivers diverse CRISPR editing modalities to human monocytes, macrophages and dendritic cells with high efficiency while preserving viability and innate immune responsiveness is presented.
Hyuncheol Jung, Pascal Devant, Carter Ching et al.· Nature Biotechnology· 0 citations
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