FlowLITE: A protocol to characterize and quantify total antibody isotypes in human plasma using flow cytometry

FlowLITE is a flow cytometry bead-based assay that enables multiplexing and high-throughput quantification of all antibody isotypes from humans, mice, or other species, using small volumes of any fluid specimen. Here, we detail a FlowLITE protocol to quantify and characterize antibody light-chain and isotype expression in human plasma. We describe steps for titrating the capture and reveal antibodies, multiplexing assay beads, and staining samples. We then describe procedures for collecting and analyzing flow cytometry data and quantifying antibodies. For complete details on the use and execution of this protocol, please refer to Babcock et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-11-17
DOI
https://doi.org/10.1016/j.xpro.2025.104200
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

FlowLITE: A protocol to characterize and quantify total antibody isotypes in human plasma using flow cytometry

Eliver Ghosn, Hillary A. Hahm, Alexandra F. Nazzari, Benjamin Babcock
STAR Protocols
Single-cell and spatial transcriptomics
article

FlowLITE: A protocol to characterize and quantify total antibody isotypes in human plasma using flow cytometry

Eliver Ghosn, Hillary A. Hahm, Alexandra F. Nazzari, Benjamin Babcock
article en

Abstract

FlowLITE is a flow cytometry bead-based assay that enables multiplexing and high-throughput quantification of all antibody isotypes from humans, mice, or other species, using small volumes of any fluid specimen. Here, we detail a FlowLITE protocol to quantify and characterize antibody light-chain and isotype expression in human plasma. We describe steps for titrating the capture and reveal antibodies, multiplexing assay beads, and staining samples. We then describe procedures for collecting and analyzing flow cytometry data and quantifying antibodies. For complete details on the use and execution of this protocol, please refer to Babcock et al.<sup>1</sup>.

STAR ProtocolsVol. 6(4)
Emory University (US)
Openalex Percentile: Top 69%
Single-cell and spatial transcriptomics
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