Evidence mapPaperPMID 40733664Full record

ReviewVaccines2025

The Application of Single-Cell Technologies for Vaccine Development Against Viral Infections.

Hong Nhi Nguyen, Isabel O Vanderzee, Fei Wen

Abstract readReview
In one paragraph

Review in Vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hong Nhi NguyenDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0009-0000-6590-3233
Isabel O VanderzeeGraduate Program in Immunology, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0002-1308-179X
Fei WenDepartment of Chemical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.ORCID 0000-0001-7970-4796

Funding

A. Alfred Taubman Medical Research Institute Taubman Institute Innovation Projects programNational Institutes of Health (NIH) S10OD020053, P30CA046592National Science Foundation (NSF) CAREER Award 1653611
6 · The paper itself

Abstract

The development of vaccines against viral infections has advanced rapidly over the past century, propelled by innovations in laboratory and molecular technologies. These advances have expanded the range of vaccine platforms beyond live-attenuated and inactivated vaccines to include recombinant platforms, such as subunit proteins and virus-like particles (VLPs), and more recently, mRNA-based vaccines, while also enhancing methods for evaluating vaccine performance. Despite these innovations, a persistent challenge remains: the inherent complexity and heterogeneity of immune responses continue to impede efforts to achieve consistently effective and durable protection across diverse populations. Single-cell technologies have emerged as transformative tools for dissecting this immune heterogeneity, providing comprehensive and granular insights into cellular phenotypes, functional states, and dynamic host-pathogen interactions. In this review, we examine how single-cell epigenomic, transcriptomic, proteomic, and multi-omics approaches are being integrated across all stages of vaccine development-from infection-informed discovery to guide vaccine design, to high-resolution evaluation of efficacy, and refinement of cell lines for manufacturing. Through representative studies, we highlight how insights from these technologies contribute to the rational design of more effective vaccines and support the development of personalized vaccination strategies.

Indexed as

COVID-19infectious diseasesinfluenzamRNAmulti-omicsrecombinant proteinsingle-cell technologyvaccine developmentviral diseasesvirus-like particles (VLPs)

Identifiers

PMID40733664
PMCPMC12300521

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.