High‐Dimensional Spectral Flow Cytometry Panel for Immunophenotypic Characterization of Fixed Whole Blood Samples

Peripheral blood mononuclear cells (PBMCs) are commonly used for immune profiling in clinical research, but their isolation and cryopreservation present logistical challenges, particularly in settings with limited access to research facilities. To address this, we implemented a whole blood fixation protocol to preserve surface protein epitopes and enable high-dimensional flow cytometry without the need for immediate sample processing. A 36-marker lymphoid and 35-marker myeloid spectral flow cytometry panels were developed and optimized to characterize diverse immune populations, including T cell subsets, B cells, NK cells, monocytes, dendritic cells, and granulocytes. Panel design focused on antibody clone compatibility with fixed antigens, minimizing non-specific binding, and reliably detecting chemokine receptors. Performance was evaluated by comparing fresh and fixed whole blood, revealing consistent identification of major immune lineages. Long-term stability was demonstrated by using cryopreserved fixed blood from a healthy donor over two and half years, with immune profiles remaining stable. These findings support the use of fixed whole blood for high-dimensional spectral cytometry and its utility in longitudinal clinical immune monitoring.

Authors

Institutions

Publication Details

Journal
Cytometry Part A
Published
2026-08-21
DOI
https://doi.org/10.1002/cyto.a.70059
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High‐Dimensional Spectral Flow Cytometry Panel for Immunophenotypic Characterization of Fixed Whole Blood Samples

Veronica Hernandez, Alexander T. Heubeck, Troy R. Torgerson, Peter J. Skene et al.
Cytometry Part A
Single-cell and spatial transcriptomics
article

High‐Dimensional Spectral Flow Cytometry Panel for Immunophenotypic Characterization of Fixed Whole Blood Samples

Veronica Hernandez, Alexander T. Heubeck, Troy R. Torgerson, Peter J. Skene, Julian Reading, Maia M. C. Bennett-Boehm, Tyanna Stuckey, Blessing Musgrove, Vaishnavi Veeravalli Parthasarathy
article en

Abstract

Peripheral blood mononuclear cells (PBMCs) are commonly used for immune profiling in clinical research, but their isolation and cryopreservation present logistical challenges, particularly in settings with limited access to research facilities. To address this, we implemented a whole blood fixation protocol to preserve surface protein epitopes and enable high-dimensional flow cytometry without the need for immediate sample processing. A 36-marker lymphoid and 35-marker myeloid spectral flow cytometry panels were developed and optimized to characterize diverse immune populations, including T cell subsets, B cells, NK cells, monocytes, dendritic cells, and granulocytes. Panel design focused on antibody clone compatibility with fixed antigens, minimizing non-specific binding, and reliably detecting chemokine receptors. Performance was evaluated by comparing fresh and fixed whole blood, revealing consistent identification of major immune lineages. Long-term stability was demonstrated by using cryopreserved fixed blood from a healthy donor over two and half years, with immune profiles remaining stable. These findings support the use of fixed whole blood for high-dimensional spectral cytometry and its utility in longitudinal clinical immune monitoring.

Cytometry Part A
Allen Institute for Immunology (US), Allen Institute (US)
Openalex Percentile: Top 21%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.