Innovative Single-Cell Sequencing Techniques for B-Cell Analysis and Their Implications for Rational HIV-1 Vaccine Design

Curr HIV Res. 2025 Jul 1. doi: 10.2174/011570162X362655250620115404. Online ahead of print.

Abstract

The application of single-cell analysis to investigate immune cell diversity has historically been considered a complex task. Recently, innovative techniques have emerged revolutionizing the way immune cells can be explored, offering unprecedented insights into the dynamics of this complex system. In particular, novel approaches have enabled a detailed characterization of B-cell responses, encompassing immune repertoire, gene expression, and phenotype analysis at an individual cell level. By analyzing single B-cells, researchers can unravel their heterogeneity, trace clonal evolution, and track immune responses during infections and vaccinations over time, gaining a deeper understanding of the mechanisms underlying antibody secretion and immune memory formation. This knowledge can inform the development of optimal immunogens, adjuvants, and vaccine platforms, which are crucial for inducing robust, long-lasting protective responses and overcoming existing challenges in vaccine research. This is particularly valuable for rational vaccine design against certain pathogens, such as human immunodeficiency virus [HIV-1], for which a successful vaccine remains to be developed due to the need to elicit rare broadly neutralizing antibodies that target conserved epitopes on the genetically diverse envelope glycoprotein trimer. This review will highlight the latest advancements in single-cell sequencing techniques and bioinformatic tools for the analysis of B-cell responses in the context of infectious diseases and vaccinations. Single-cell sequencing techniques, their applications, and their pivotal role in advancing the design of next-generation vaccines, especially in the context of HIV-1, will be discussed.

Keywords: BCR repertoire; HIV-1.; Single-cell sequencing; antibodies; b-cells; immunomics; transcriptomics; vaccine design.