Biosciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
Wellcome Sanger Institute, Wellcome Genome Campus, Cambridge, UK.
Eur J Immunol. 2023 Dec;53(12):e2250222. doi: 10.1002/eji.202250222. Epub 2023 Mar 3.
Single-cell RNA sequencing technologies have successfully been leveraged for immunological insights into human prenatal, pediatric, and adult tissues. These single-cell studies have led to breakthroughs in our understanding of stem, myeloid, and lymphoid cell function. Computational analysis of fetal hematopoietic tissues has uncovered trajectories for T- and B-cell differentiation across multiple organ sites, and how these trajectories might be dysregulated in fetal and pediatric health and disease. As we enter the age of large-scale, multiomic, and integrative single-cell meta-analysis, we assess the advances and challenges of large-scale data generation, analysis, and reanalysis, and data dissemination for a broad range of scientific and clinical communities. We discuss Findable, Accessible, Interoperable, and Reusable data sharing and unified cell ontology languages as strategic areas for progress of the field in the near future. We also reflect on the trend toward deployment of multiomic and spatial genomic platforms within single-cell RNA sequencing projects, and the crucial role these data types will assume in the immediate future toward creation of comprehensive and rich single-cell atlases. We demonstrate using our recent studies of human prenatal and adult hematopoietic tissues the importance of interdisciplinary and collaborative working in science to reveal biological insights in parallel with technological and computational innovations.
单细胞 RNA 测序技术已成功应用于人类产前、儿科和成人组织的免疫学研究。这些单细胞研究使我们对干细胞、髓系和淋巴样细胞功能的理解取得了突破。对胎儿造血组织的计算分析揭示了 T 细胞和 B 细胞在多个器官部位分化的轨迹,以及这些轨迹在胎儿和儿科健康与疾病中如何失调。随着我们进入大规模、多组学和综合单细胞元分析的时代,我们评估了大规模数据生成、分析和再分析以及广泛的科学和临床社区的数据传播的进展和挑战。我们讨论了可发现性、可访问性、互操作性和可重用性数据共享以及统一的细胞本体语言作为该领域近期内取得进展的战略领域。我们还反思了在单细胞 RNA 测序项目中部署多组学和空间基因组平台的趋势,以及这些数据类型在创建全面和丰富的单细胞图谱方面将在不久的将来发挥的关键作用。我们使用我们最近对人类产前和成人造血组织的研究来说明在科学领域进行跨学科和协作工作的重要性,以与技术和计算创新并行揭示生物学见解。