Imaging Meets Cytometry: Analyzing Heterogeneous Functional Microscopic Data from Living Cell Populations

Matthew Draper; Mara Willems; RK Malahe; A Hamilton; Andrei Tarasov

doi:10.3390/jimaging7010009

Imaging Meets Cytometry: Analyzing Heterogeneous Functional Microscopic Data from Living Cell Populations

Matthew Draper, Mara Willems, RK Malahe, A Hamilton, Andrei Tarasov

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Abstract

Biological tissue consists of populations of cells exhibiting different responses to pharmacological stimuli. To probe the heterogeneity of cell function, we propose a multiplexed approach based on real‐time imaging of the secondary messenger levels within each cell of the tissue, followed by extraction of the changes of single‐cell fluorescence over time. By utilizing a piecewise baseline correction, we were able to quantify the effects of multiple pharmacological stimuli added and removed sequentially to pancreatic islets of Langerhans, thereby performing a deep functional profiling for each cell within the islet. Cluster analysis based on the functional profile demonstrated dose‐dependent changes in statistical inter‐relationships between islet cell populations. We therefore believe that the functional cytometric approach can be used for routine quantitative profiling of the tissue for drug screening or pathological testing

Original language	English
Article number	9
Pages (from-to)	1-14
Number of pages	14
Journal	Journal of Imaging
Volume	7
Issue number	1
DOIs	https://doi.org/10.3390/jimaging7010009
Publication status	Published (in print/issue) - 13 Jan 2021

Bibliographical note

Funding Information:
Funding: Authors acknowledge the support from Erasmus Program Scholarships (RW and RKM) and Diabetes UK PhD Scholarships (A.H.).

Publisher Copyright:
Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).

Keywords

time-lapse imaging
fluorescence
cell profiling
baseline correction
antidiabetic drugs
Cell profiling
Time-lapse imaging
Fluorescence
Antidiabetic drugs
Baseline correction

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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jimaging-07-00009Final published version, 6.16 MBLicence: CC BY

Cite this

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title = "Imaging Meets Cytometry: Analyzing Heterogeneous Functional Microscopic Data from Living Cell Populations",

abstract = "Biological tissue consists of populations of cells exhibiting different responses to pharmacological stimuli. To probe the heterogeneity of cell function, we propose a multiplexed approach based on real‐time imaging of the secondary messenger levels within each cell of the tissue, followed by extraction of the changes of single‐cell fluorescence over time. By utilizing a piecewise baseline correction, we were able to quantify the effects of multiple pharmacological stimuli added and removed sequentially to pancreatic islets of Langerhans, thereby performing a deep functional profiling for each cell within the islet. Cluster analysis based on the functional profile demonstrated dose‐dependent changes in statistical inter‐relationships between islet cell populations. We therefore believe that the functional cytometric approach can be used for routine quantitative profiling of the tissue for drug screening or pathological testing",

keywords = "time-lapse imaging, fluorescence, cell profiling, baseline correction, antidiabetic drugs, Cell profiling, Time-lapse imaging, Fluorescence, Antidiabetic drugs, Baseline correction",

author = "Matthew Draper and Mara Willems and RK Malahe and A Hamilton and Andrei Tarasov",

note = "Funding Information: Funding: Authors acknowledge the support from Erasmus Program Scholarships (RW and RKM) and Diabetes UK PhD Scholarships (A.H.). Publisher Copyright: Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).",

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T1 - Imaging Meets Cytometry: Analyzing Heterogeneous Functional Microscopic Data from Living Cell Populations

AU - Draper, Matthew

AU - Willems, Mara

AU - Malahe, RK

AU - Hamilton, A

AU - Tarasov, Andrei

N1 - Funding Information: Funding: Authors acknowledge the support from Erasmus Program Scholarships (RW and RKM) and Diabetes UK PhD Scholarships (A.H.). Publisher Copyright: Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).

PY - 2021/1/13

Y1 - 2021/1/13

N2 - Biological tissue consists of populations of cells exhibiting different responses to pharmacological stimuli. To probe the heterogeneity of cell function, we propose a multiplexed approach based on real‐time imaging of the secondary messenger levels within each cell of the tissue, followed by extraction of the changes of single‐cell fluorescence over time. By utilizing a piecewise baseline correction, we were able to quantify the effects of multiple pharmacological stimuli added and removed sequentially to pancreatic islets of Langerhans, thereby performing a deep functional profiling for each cell within the islet. Cluster analysis based on the functional profile demonstrated dose‐dependent changes in statistical inter‐relationships between islet cell populations. We therefore believe that the functional cytometric approach can be used for routine quantitative profiling of the tissue for drug screening or pathological testing

AB - Biological tissue consists of populations of cells exhibiting different responses to pharmacological stimuli. To probe the heterogeneity of cell function, we propose a multiplexed approach based on real‐time imaging of the secondary messenger levels within each cell of the tissue, followed by extraction of the changes of single‐cell fluorescence over time. By utilizing a piecewise baseline correction, we were able to quantify the effects of multiple pharmacological stimuli added and removed sequentially to pancreatic islets of Langerhans, thereby performing a deep functional profiling for each cell within the islet. Cluster analysis based on the functional profile demonstrated dose‐dependent changes in statistical inter‐relationships between islet cell populations. We therefore believe that the functional cytometric approach can be used for routine quantitative profiling of the tissue for drug screening or pathological testing

KW - time-lapse imaging

KW - fluorescence

KW - cell profiling

KW - baseline correction

KW - antidiabetic drugs

KW - Cell profiling

KW - Time-lapse imaging

KW - Fluorescence

KW - Antidiabetic drugs

KW - Baseline correction

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DO - 10.3390/jimaging7010009

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JF - Journal of Imaging

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M1 - 9

ER -

Imaging Meets Cytometry: Analyzing Heterogeneous Functional Microscopic Data from Living Cell Populations

Abstract

Bibliographical note

Keywords

UN SDGs

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