Clearing the path for whole-mount labeling and quantification of neuron and vessel density in adipose tissue

White adipose tissue (WAT) comprises a plethora of cell types beyond adipocytes forming a regulatory network that ensures systemic energy homeostasis. Intertissue communication is facilitated by metabolites and signaling molecules that are spread by vasculature and nerves. Previous works have indicated that WAT responds to environmental cues by adapting the abundance of these 'communication routes'; however, the high intra-tissue heterogeneity questions the informative value of bulk or single-cell analyses and underscores the necessity of whole-mount imaging. The applicability of whole-mount WAT-imaging is currently limited by two factors - (1) methanol-based tissue clearing protocols restrict the usable antibody portfolio to methanol-resistant antibodies and (2) the vast amounts of data resulting from 3D imaging of whole-tissue samples require high computational expertise and advanced equipment. Here, we present a protocol for whole-mount WAT clearing, overcoming the constraints of antibody-methanol sensitivity. Additionally, we introduce TiNeQuant (for 'tissue network quantifier') a Fiji tool for automated 3D quantification of neuron or vascular network density, which we have made freely available. Given TiNeQuants versatility beyond WAT, it simplifies future efforts studying neuronal or vascular alterations in numerous pathologies.

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Publication Details

Journal
Journal of Cell Science
Published
2025-01-29
DOI
https://doi.org/10.1242/jcs.263438
Citations
1
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
1.16
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article

Clearing the path for whole-mount labeling and quantification of neuron and vessel density in adipose tissue

Thomas Rauchenwald, Tobias Eisenberg, Martina Schweiger, Heimo Wolinski et al.
1 citations
Journal of Cell Science
Adipose Tissue and Metabolism
1.16
article

Clearing the path for whole-mount labeling and quantification of neuron and vessel density in adipose tissue

Thomas Rauchenwald, Tobias Eisenberg, Martina Schweiger, Heimo Wolinski, G Grabner, Sandra Eder, Michaela Lang, Arvand Haschemi, Thomas Rattei, Roko Sango, Pia Benedikt-Kühnast, Sebastian Forstreiter
article en
1 citations

Abstract

White adipose tissue (WAT) comprises a plethora of cell types beyond adipocytes forming a regulatory network that ensures systemic energy homeostasis. Intertissue communication is facilitated by metabolites and signaling molecules that are spread by vasculature and nerves. Previous works have indicated that WAT responds to environmental cues by adapting the abundance of these 'communication routes'; however, the high intra-tissue heterogeneity questions the informative value of bulk or single-cell analyses and underscores the necessity of whole-mount imaging. The applicability of whole-mount WAT-imaging is currently limited by two factors - (1) methanol-based tissue clearing protocols restrict the usable antibody portfolio to methanol-resistant antibodies and (2) the vast amounts of data resulting from 3D imaging of whole-tissue samples require high computational expertise and advanced equipment. Here, we present a protocol for whole-mount WAT clearing, overcoming the constraints of antibody-methanol sensitivity. Additionally, we introduce TiNeQuant (for 'tissue network quantifier') a Fiji tool for automated 3D quantification of neuron or vascular network density, which we have made freely available. Given TiNeQuants versatility beyond WAT, it simplifies future efforts studying neuronal or vascular alterations in numerous pathologies.

Journal of Cell ScienceVol. 138(3)
University of Vienna (AT), University of Graz (AT), Medical University of Graz (AT), Helmholtz Zentrum München (DE), Graz University of Technology (AT), BioTechMed-Graz (AT), Medical University of Vienna (AT)
Affordable and clean energy
Openalex Percentile: Top 26%
Adipose Tissue and Metabolism
1.16
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