Paper Talk

The paper introduce Spatial Hi-C-RNA, a pioneering multimodal technology that simultaneously maps three-dimensional genome architecture and whole-transcriptome profiles within intact tissue sections. By integrating microfluidic barcoding with high-throughput chromatin capture and RNA sequencing, this platform preserves the physical context of genetic regulation at near-single-cell resolution. Researchers successfully applied this method to mouse embryos, adult brains, and human melanoma, demonstrating its ability to link structural features like chromatin loops and A/B compartments to specific cell identities. The findings reveal that spatial genome organization provides deeper insights into developmental processes and tumor heterogeneity than gene expression analysis alone. Ultimately, this framework offers a powerful tool for investigating the complex structure-function relationships of the genome in both healthy development and disease.References:Guo P, Cui Y, He J, et al. Integrative spatial profiling of 3D genome organization and gene expression in tissue[J]. Cell, 2026.前往小宇宙评论区与主播互动

Researchers developed a massive genome-scale perturb-seq platform to map the regulatory networks of 22 million primary human CD4+ T cells. By systematically knocking down over 12,000 genes across different activation states, they created a dynamic atlas that identifies how specific regulators control immune programs and cytokine production. The study demonstrates that gene regulatory effects change significantly depending on whether a cell is at rest or stimulated. Furthermore, the authors successfully used this data to predict the regulators responsible for T cell polarization and age-related immune changes observed in human populations. Finally, the work establishes a foundational resource that links specific molecular pathways to autoimmune disease susceptibility and human immune traits.References:Zhu R, Dann E, Yan J, et al. Genome-scale perturb-seq in primary human CD4+ T cells maps context-specific regulators of T cell programs and human immune traits[J]. Cell, 2025.前往小宇宙评论区与主播互动

The paper introduces cellular self-reporting, a novel bioengineering platform that uses engineered virus-like particles (VLPs) to monitor gene expression in living cells without destroying them. By repurposing the MMLV Gag protein, researchers can package and export cellular mRNA into the surrounding culture media for longitudinal analysis. This method overcomes the limitations of traditional transcriptomic profiling, which typically requires cell lysis and prevents the study of the same sample over time. The authors demonstrate the technology's versatility by tracking transcriptional dynamics during stem cell differentiation and measuring acute inflammatory responses in primary cell spheroids. Furthermore, the system can be multiplexed using epitope tags to deconvolve data from different cell types in co-culture. Ultimately, this approach enables continuous, non-destructive monitoring of complex biological systems, including enclosed microphysiological environments.References:Najia M A, Le A, Borrajo J, et al. Live-cell transcriptomics with engineered virus-like particles[J]. Cell, 2024.前往小宇宙评论区与主播互动

This comprehensive single-cell atlas of the human and mouse striatum provides a detailed map of neuronal diversity and subregional specialization. By profiling over 400,000 nuclei, researchers identified rare neuronal subtypes, such as outlier MSNs and ventral-enriched islands, while uncovering significant transcriptional differences between species. The study highlights how specific cell types and the dorsolateral-ventromedial axis determine susceptibility to Huntington’s disease and addiction. Integrating genetic risk data and pharmacological studies, the authors reveal human-specific sites for opioid receptor expression and antipsychotic responses. Ultimately, these findings offer a foundational framework for understanding the cellular mechanisms behind neuropsychiatric and neurodegenerative disorders.References:Linville R M, James B T, Galani K, et al. Cross-species single-cell atlas of the striatum defines cell-type and subregion disease vulnerabilities[J]. Cell, 2026.前往小宇宙评论区与主播互动

The research introduces Tabula Sapiens 2.0, an expansive transcriptomic atlas that profiles over 1.1 million individual human cells across 28 different tissues from 24 donors. By utilizing standardized single-cell processing, the Tabula Sapiens Consortium has mapped the expression of nearly all human transcription factors, identifying nearly 900 that exhibit high cell-type specificity. This resource also provides a detailed exploration of cellular senescence, demonstrating that aging-related phenotypes are highly heterogeneous and vary significantly depending on the specific tissue and cell-type context. The study provides new insights into gene regulation and metabolic rewiring, highlighting how specialized transcriptional programs maintain cell identity throughout the adult lifespan. To facilitate further discovery, the consortium has made this massive dataset freely available through an interactive online portal, serving as a reference for clinical and biological research.References:Jones R C, Krasnow M A, Pisco A O, et al. Tabula Sapiens 2.0: A comprehensive transcriptomic atlas of human cell types[J]. Cell, 2026.前往小宇宙评论区与主播互动