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A Community-Driven Single-Cell PBMC Reference Integrating Landmark Datasets Spanning Health and Disease

A.-M. Cujba, S. Aguilar-Fernandez, A. Antoinette, W. Said, M. F. Mueller, K. H. Kock, J. Nestor, R. Sonthalia, E. V. Buyamin, P. Rawat, A. Predeus, L. Kretschmer, L. Fei, K. Slowikowski, P. Sen, C. V. Cosgriff, MGH COVID-19 Collection & Processing Team, O. Dufva, M. Askari, K. Kimler, M. Futey, I. Zucchi, A. Chatzigeorgiou, P. Nejad, L. Jin, B. Bowen, A. Yang, R. G. H. Lindeboom, R. Normand, S. Megas, Y. Ando, A. Chatterjee, J.-E. Park, P. P. Majumder, P. Matangkasombut, V. Charoensawan, J. W. Shin, W.-Y. Park, Asian Immune Diversity Atlas (AIDA) Network

Preprint

En palabras de los autores

Blood provides an accessible window into human health, yet the absence of a peripheral blood mononuclear cells (PBMCs) reference with standardized immune cell annotations has constrained comparisons between single-cell RNA sequencing (scRNAseq) studies. Here, we present HARP (Human Cell Atlas Reference for PBMCs), an integrated atlas of ~9 million PBMCs from >2,600 donors across 15 studies spanning four continents, encompassing diverse populations, neonates to 97 years, across health and diverse immune-related diseases. We developed optimized integration workflows, including novel label-free metrics to assess integration quality, and generated community-driven consensus annotations for 192 immune cell subsets, identifying rare populations representing as few as 0.004% of PBMCs. HARP reveals coordinated cellular modules associated with age, sex, and disease, identifies female-biased interferon and inflammatory gene programs and their perturbation by COVID-19, and uncovers a novel sexual dimorphism in prostaglandin signaling. Finally, we introduce scTiger, a hierarchical label-transfer framework that accurately projects these 192 cell annotations onto ~18 million additional PBMCs, providing a robust and transferable reference for harmonizing future PBMC studies. HARP provides a high-resolution community-driven reference atlas for PBMC annotation and analysis, as a basis for emerging clinical applications of single-cell genomics.

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Apareció: sábado, 26 de septiembre. bioRxiv. Preprint, todavía sin revisión por pares.

DOI: 10.64898/2026.09.21.749940