ArticleJournal of visualized experiments : JoVE2026
Mapping Infant Immunity with Minimal Input: Integrative Single-cell and Multiomic Profiling.
Article in Journal of visualized experiments : JoVE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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9 authors.
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Abstract
At birth, the neonatal immune system is abruptly confronted with a radically different environment, rich in microbial and environmental stimuli. Increasing evidence suggests that early-life immunity is not merely immature, but rather uniquely adapted to meet the distinct demands of this developmental window. During this period, the immune system is highly dynamic, undergoing rapid changes to accommodate the shifting external landscape. Understanding this complex and evolving immune landscape requires direct study in neonates. However, a major limitation in such investigations is the low total blood volume in neonates (~100 mL/kg), which restricts the amount that can be safely collected for research, particularly in extremely low birth weight (ELBW) or extremely premature infants. In our recent work, we address this limitation by demonstrating how high-dimensional immune profiling can be performed using minute volumes of neonatal blood. We introduce a set of optimized protocols for longitudinal sampling across early life and apply advanced techniques, including flow cytometry, proteomics, and single-cell RNA sequencing, to maximize the information obtained from minimal input. Together, these methods enable a comprehensive view of the transcriptomic and proteomic signatures of circulating immune cells in neonates, offering new insights into the unique trajectory of early-life immunity.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.