A user's guide to multicolor flow cytometry panels for comprehensive immune profiling

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

A user's guide to multicolor flow cytometry panels for comprehensive immune profiling. / Holmberg-Thyden, Staffan; Grønbæk, Kirsten; Gang, Anne Ortved; El Fassi, Daniel; Hadrup, Sine Reker.

In: Analytical Biochemistry, Vol. 627, 114210, 2021.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Holmberg-Thyden, S, Grønbæk, K, Gang, AO, El Fassi, D & Hadrup, SR 2021, 'A user's guide to multicolor flow cytometry panels for comprehensive immune profiling', Analytical Biochemistry, vol. 627, 114210. https://doi.org/10.1016/j.ab.2021.114210

APA

Holmberg-Thyden, S., Grønbæk, K., Gang, A. O., El Fassi, D., & Hadrup, S. R. (2021). A user's guide to multicolor flow cytometry panels for comprehensive immune profiling. Analytical Biochemistry, 627, [114210]. https://doi.org/10.1016/j.ab.2021.114210

Vancouver

Holmberg-Thyden S, Grønbæk K, Gang AO, El Fassi D, Hadrup SR. A user's guide to multicolor flow cytometry panels for comprehensive immune profiling. Analytical Biochemistry. 2021;627. 114210. https://doi.org/10.1016/j.ab.2021.114210

Author

Holmberg-Thyden, Staffan ; Grønbæk, Kirsten ; Gang, Anne Ortved ; El Fassi, Daniel ; Hadrup, Sine Reker. / A user's guide to multicolor flow cytometry panels for comprehensive immune profiling. In: Analytical Biochemistry. 2021 ; Vol. 627.

Bibtex

@article{3bb2bfe03e5c461a89fb95e130b90dab,

title = "A user's guide to multicolor flow cytometry panels for comprehensive immune profiling",

abstract = "Multicolor flow cytometry is an essential tool for studying the immune system in health and disease, allowing users to extract longitudinal multiparametric data from patient samples. The process is complicated by substantial variation in performance between each flow cytometry instrument, and analytical errors are therefore common. Here, we present an approach to overcome such limitations by applying a systematic workflow for pairing colors to markers optimized for the equipment intended to run the experiments. The workflow is exemplified by the design of four comprehensive flow cytometry panels for patients with hematological cancer. Methods for quality control, titration of antibodies, compensation, and staining of cells for obtaining optimal results are also addressed. Finally, to handle the large amounts of data generated by multicolor flow cytometry, unsupervised clustering techniques are used to identify significant subpopulations not detected by conventional sequential gating.",

keywords = "Flow cytometry, Immune monitoring, Immunology, Myelodysplastic syndrome, Unsupervised clustering",

author = "Staffan Holmberg-Thyden and Kirsten Gr{\o}nb{\ae}k and Gang, {Anne Ortved} and {El Fassi}, Daniel and Hadrup, {Sine Reker}",

note = "Publisher Copyright: {\textcopyright} 2021 The Author(s)",

year = "2021",

doi = "10.1016/j.ab.2021.114210",

language = "English",

volume = "627",

journal = "Analytical Biochemistry",

issn = "0003-2697",

publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A user's guide to multicolor flow cytometry panels for comprehensive immune profiling

AU - Holmberg-Thyden, Staffan

AU - Grønbæk, Kirsten

AU - Gang, Anne Ortved

AU - El Fassi, Daniel

AU - Hadrup, Sine Reker

PY - 2021

Y1 - 2021

N2 - Multicolor flow cytometry is an essential tool for studying the immune system in health and disease, allowing users to extract longitudinal multiparametric data from patient samples. The process is complicated by substantial variation in performance between each flow cytometry instrument, and analytical errors are therefore common. Here, we present an approach to overcome such limitations by applying a systematic workflow for pairing colors to markers optimized for the equipment intended to run the experiments. The workflow is exemplified by the design of four comprehensive flow cytometry panels for patients with hematological cancer. Methods for quality control, titration of antibodies, compensation, and staining of cells for obtaining optimal results are also addressed. Finally, to handle the large amounts of data generated by multicolor flow cytometry, unsupervised clustering techniques are used to identify significant subpopulations not detected by conventional sequential gating.

AB - Multicolor flow cytometry is an essential tool for studying the immune system in health and disease, allowing users to extract longitudinal multiparametric data from patient samples. The process is complicated by substantial variation in performance between each flow cytometry instrument, and analytical errors are therefore common. Here, we present an approach to overcome such limitations by applying a systematic workflow for pairing colors to markers optimized for the equipment intended to run the experiments. The workflow is exemplified by the design of four comprehensive flow cytometry panels for patients with hematological cancer. Methods for quality control, titration of antibodies, compensation, and staining of cells for obtaining optimal results are also addressed. Finally, to handle the large amounts of data generated by multicolor flow cytometry, unsupervised clustering techniques are used to identify significant subpopulations not detected by conventional sequential gating.

KW - Flow cytometry

KW - Immune monitoring

KW - Immunology

KW - Myelodysplastic syndrome

KW - Unsupervised clustering

U2 - 10.1016/j.ab.2021.114210

DO - 10.1016/j.ab.2021.114210

M3 - Journal article

C2 - 34033799

AN - SCOPUS:85106548951

VL - 627

JO - Analytical Biochemistry

JF - Analytical Biochemistry

SN - 0003-2697

M1 - 114210

ER -

ID: 272028953