# Mass Cytometry Workflow to Achieve High‐Dimensional Immunophenotyping in Resource‐Limited or Decentralized Environments

**Authors:** Natalie Smith, Michael Cohen, Lauren Tracey, Julie Alipaz, Christina Loh, David King, Neha Pulyani, Rebecca Auzins, Elin Gray, Sandra Taylor, Rajat Rai, Steven Kao, Barbara Fazekas de St Groth, Helen McGuire

PMC · DOI: 10.1002/cpz1.70335 · Current Protocols · 2026-02-28

## TL;DR

A new workflow enables high-dimensional immune cell analysis in remote or resource-limited areas using mass cytometry.

## Contribution

The novel workflow allows decentralized immunophenotyping by enabling sample preparation and cryopreservation in low-resource settings.

## Key findings

- The workflow uses whole blood staining without centrifuges, suitable for resource-limited environments.
- Example data shows immune differences between lung cancer patients and healthy donors.
- This approach improves access to immunophenotyping for underserved communities.

## Abstract

Globally, regional and remote communities are burdened by both an increased prevalence and worse prognosis of many infectious and chronic diseases. However, largely owing to logistical challenges, these communities are under‐represented in clinical trials and research studies. As individuals from rural communities experience unique environmental exposures and risk factors for disease, immune phenotyping data collected from metropolitan populations may not be broadly generalizable. To address this, we present a workflow that enables the inclusion of resource‐limited sites in high‐parameter mass cytometry studies. In this approach, whole blood (WB) or peripheral blood mononuclear cells (PBMCs) are collected, stained fresh for surface antigens, and cryopreserved at the collection site. Samples are then shipped to the central site for further processing, including neutrophil depletion, fixation, barcoding, intracellular staining, and data acquisition. Importantly, the WB staining approach does not require specialized equipment such as centrifuges and is therefore feasible to perform in a resource‐limited environment. A support protocol details steps for data preprocessing and cleanup. We present example data demonstrating the application of this workflow to determine immune differences between eight patients with late‐stage lung cancer and four healthy blood donors. Overall, this workflow may improve access to underserved communities and facilitate, for the first time, the scalability of immune phenotyping studies to harness geographically dispersed clinical centers. © 2026 The Author(s). Current Protocols published by Wiley Periodicals LLC.

Basic Protocol 1: Preparation and staining of PBMCs for cytometry

Basic Protocol 2: Preparation and staining of whole blood for cytometry

Basic Protocol 3: Fixation, permeabilization, intracellular staining, and data acquisition for blood sample immunophenotyping

Support Protocol: Data preprocessing and cleanup

## Linked entities

- **Diseases:** lung cancer (MONDO:0005138)

## Full-text entities

- **Genes:** FOXP3 (forkhead box P3) [NCBI Gene 50943] {aka AIID, DIETER, IPEX, JM2, PIDX, XPID}, CXCR3 (C-X-C motif chemokine receptor 3) [NCBI Gene 2833] {aka CD182, CD183, CKR-L2, CMKAR3, GPR9, IP10-R}, CCR7 (C-C motif chemokine receptor 7) [NCBI Gene 1236] {aka BLR2, CC-CKR-7, CCR-7, CD197, CDw197, CMKBR7}, KRT20 (keratin 20) [NCBI Gene 54474] {aka CD20, CK-20, CK20, K20, KRT21}, PTPRC (protein tyrosine phosphatase receptor type C) [NCBI Gene 5788] {aka B220, CD45, CD45R, GP180, IMD105, L-CA}, FUT4 (fucosyltransferase 4) [NCBI Gene 2526] {aka CD15, ELFT, FCT3A, FUC-TIV, FUTIV, LeX}, CCR6 (C-C motif chemokine receptor 6) [NCBI Gene 1235] {aka BN-1, C-C CKR-6, CC-CKR-6, CCR-6, CD196, CKR-L3}, CXCR5 (C-X-C motif chemokine receptor 5) [NCBI Gene 643] {aka BLR1, CD185, MDR15}, CD27 (CD27 molecule) [NCBI Gene 939] {aka S152, S152. LPFS2, T14, TNFRSF7, Tp55}, CD19 (CD19 molecule) [NCBI Gene 930] {aka B4, CVID3}, ITGAM (integrin subunit alpha M) [NCBI Gene 3684] {aka CD11B, CR3A, HNA-4, MAC-1, MAC1A, MO1A}, CD14 (CD14 molecule) [NCBI Gene 929], CEACAM8 (CEA cell adhesion molecule 8) [NCBI Gene 1088] {aka CD66b, CD67, CGM6, NCA-95}, CCR4 (C-C motif chemokine receptor 4) [NCBI Gene 1233] {aka CC-CKR-4, CD194, CKR4, CMKBR4, ChemR13, HGCN:14099}
- **Diseases:** cytomegalovirus (MESH:D003586), NTDs (MESH:D058069), lung cancer (MESH:D008175), cancer (MESH:D009369), chronic disease (MESH:D002908), infectious and chronic diseases (MESH:D003141), coronary artery disease (MESH:D003324), neutrophil (MESH:C564275)
- **Chemicals:** Pd (MESH:D010165), water (MESH:D014867), Sodium azide (MESH:D019810), EDTA (MESH:D004492), nitrogen (MESH:D009584), metal (MESH:D008670), methanol (MESH:D000432), Trypan blue (MESH:D014343), Lead (MESH:D007854), DMSO (MESH:D004121), Ba (MESH:D001464), heavy-metal (MESH:D019216), paraformaldehyde (MESH:C003043), CyTOF (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12949427/full.md

## References

37 references — full list in the complete paper: https://tomesphere.com/paper/PMC12949427/full.md

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Source: https://tomesphere.com/paper/PMC12949427