Year: 2026
Type: article
Abstract: Advancing clinical precision medicine via peripheral blood immune single-cell omicsSingle-cell RNA sequencing (scRNA-seq) has been applied for more than a decade to deeply investigate morphological and functional subtypes, subsets, and substates of circulating and tissue-resident cells under both physiological and pathophysiological conditions.With improvements in technological stability and reductions in economic burden, peripheral blood scRNA-seq has been proposed as a routine measurement in clinical haematology and biochemistry to comprehensively understand systemic immune cell states, enable early detection of immune dysfunction, dynamically monitor disease progressions and therapeutic responses, and constantly mirror immune cell components and activities within the tissue microenvironment.[1][2][3][4][5] One of the development milestones in clinical translation is the implementation of such high-throughput scRNA-seq at a large scale in human populations across various ages, sexes, races, living conditions, and disease states, to establish standardised mean values and variations of each subtype, subset, and substate of circulating immune cells under normal conditions.In addition, multiple-dimensional, multi-layered, and functional single-cell molecular profiles are increasingly critical for illustrating the complex interactions and heterogeneities among immune cells and for more closely visualising the complete biological image and regulations.There is rapidly increasing evidence to present a more comprehensive picture of systemic immune cell categories and functions through peripheral blood immune single-cell multi-omics (PBISM).Especially, it is important for clinical researchers and physicians to understand the implications and clinical value of PBISM-generated data, multi-dimensional molecular networks, and diseasespecific features.PBISM integrated with DNA-seq and scRNA-seq has been applied to characterise genetic variants located close to genes that influence the corresponding mRNA abundance, statistically independent of other nearby cis-expression quantitative trait loci (eQTLs) for the same gene, in a large-scale cohort of Australian healthy individuals and patients with autoimmune diseases (e.g.,
DOI: 10.1002/ctd2.70151
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,420
OpenAlex ID: W7221526334