Back

Flow Cytometry Strategies for Rapidly Characterizing Heterogeneous Adipocyte Populations in 3D In Vitro Constructs

Struss, M. M.; Anvari, G.; Bellas, E.

2024-02-02 bioengineering
10.1101/2024.01.30.578065 bioRxiv
Show abstract

Adipose tissue (AT) is an endocrine organ that regulates whole body metabolism and supports energy needs of other tissues. Two key adipose tissue functions are insulin-stimulated glucose uptake and lipid metabolism. As the prevalence of metabolic diseases, such as obesity, continue to rise, there is a growing need for new methods to study adipose tissue and its main cell type, adipocytes. Adipocytes are unique cells, distinguished by their large spherical shape housing large lipid droplet(s). For many in vitro models (and in tissues), adipocytes are derived from a heterogenous population of precursor cells, leading to varying degrees of adipogenesis and adipocyte maturation. Characterization of such populations can be challenging because often the average result does not account for the complexity of the various sub-populations. Common single cell characterization methods provide data based gene and protein expression but do not account for the morphological variability in cells such as adipocytes at different stages of maturation, and are expensive to run. More traditional methods, such as microscopy or colorimetric assays, are often time consuming with intrinsic challenges due to overlapping or coincident features or lose single cell adipocyte details due to the destructive nature of the assay. Here, we show how flow cytometry can be used to characterize adipocyte populations while preserving critical details at the individual adipocyte level. O_LIThis protocol provides multiple workflows for indirect measurements of lipogenesis (lipid accumulation), protein content (branched actin formation), and adipocyte functions (insulin-stimulated glucose uptake). C_LIO_LIThe flow cytometry workflows presented in this work show the effectiveness of binning individual adipocytes based on their level of maturity and allow for comparisons within subpopulations traditional methods cannot provide. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=118 SRC="FIGDIR/small/578065v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@8e3a0forg.highwire.dtl.DTLVardef@185eda5org.highwire.dtl.DTLVardef@1b4f399org.highwire.dtl.DTLVardef@e4d318_HPS_FORMAT_FIGEXP M_FIG C_FIG O_TBL View this table: org.highwire.dtl.DTLVardef@df0588org.highwire.dtl.DTLVardef@1e45d9corg.highwire.dtl.DTLVardef@1bdce8forg.highwire.dtl.DTLVardef@444bb3org.highwire.dtl.DTLVardef@1c5fce9_HPS_FORMAT_FIGEXP M_TBL C_TBL

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
PLOS ONE
5266 papers in training set
Top 13%
13.7%
2
Advanced Biology
29 papers in training set
Top 0.1%
7.6%
3
Scientific Reports
3612 papers in training set
Top 9%
7.0%
4
Biology Open
156 papers in training set
Top 0.4%
4.6%
5
Molecular Metabolism
112 papers in training set
Top 0.6%
3.4%
6
International Journal of Molecular Sciences
494 papers in training set
Top 4%
2.9%
7
Cellular and Molecular Bioengineering
22 papers in training set
Top 0.1%
2.8%
8
The FASEB Journal
194 papers in training set
Top 2%
2.2%
9
ACS Synthetic Biology
287 papers in training set
Top 1%
2.2%
10
eLife
5828 papers in training set
Top 46%
2.0%
11
American Journal of Physiology-Endocrinology and Metabolism
36 papers in training set
Top 0.3%
2.0%
50% of probability mass above
12
Journal of Biological Engineering
12 papers in training set
Top 0.1%
1.8%
13
iScience
1154 papers in training set
Top 16%
1.8%
14
Biomedical Optics Express
95 papers in training set
Top 0.6%
1.6%
15
Cytotherapy
15 papers in training set
Top 0.1%
1.6%
16
BMC Biotechnology
14 papers in training set
Top 0.1%
1.4%
17
Journal of Visualized Experiments
34 papers in training set
Top 0.4%
1.2%
18
Frontiers in Cell and Developmental Biology
233 papers in training set
Top 3%
1.2%
19
Communications Biology
993 papers in training set
Top 20%
1.2%
20
Bioscience Reports
27 papers in training set
Top 0.8%
1.2%
21
Journal of The Royal Society Interface
235 papers in training set
Top 3%
1.2%
22
Biotechnology and Bioengineering
53 papers in training set
Top 0.6%
1.2%
23
Frontiers in Endocrinology
58 papers in training set
Top 1%
1.1%
24
FEBS Letters
47 papers in training set
Top 0.4%
1.1%
25
BMC Methods
15 papers in training set
Top 0.1%
1.1%
26
Journal of Biological Chemistry
690 papers in training set
Top 8%
1.0%
27
Cells
249 papers in training set
Top 6%
0.9%
28
Pharmaceuticals
34 papers in training set
Top 1%
0.9%
29
STAR Protocols
18 papers in training set
Top 0.2%
0.9%
30
Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids
15 papers in training set
Top 0.2%
0.9%