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Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells

Cells secrete numerous bioactive molecules essential for the function of healthy organisms. However, there are no scalable methods to link individual cell secretions to their transcriptional state. By developing and using secretion encoded single-cell sequencing (SEC-seq), which exploits hydrogel na...

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Autores principales: Udani, Shreya, Langerman, Justin, Koo, Doyeon, Baghdasarian, Sevana, Cheng, Brian, Kang, Simran, Soemardy, Citradewi, de Rutte, Joseph, Plath, Kathrin, Carlo, Dino Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881958/
https://www.ncbi.nlm.nih.gov/pubmed/36711480
http://dx.doi.org/10.1101/2023.01.07.523110
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author Udani, Shreya
Langerman, Justin
Koo, Doyeon
Baghdasarian, Sevana
Cheng, Brian
Kang, Simran
Soemardy, Citradewi
de Rutte, Joseph
Plath, Kathrin
Carlo, Dino Di
author_facet Udani, Shreya
Langerman, Justin
Koo, Doyeon
Baghdasarian, Sevana
Cheng, Brian
Kang, Simran
Soemardy, Citradewi
de Rutte, Joseph
Plath, Kathrin
Carlo, Dino Di
author_sort Udani, Shreya
collection PubMed
description Cells secrete numerous bioactive molecules essential for the function of healthy organisms. However, there are no scalable methods to link individual cell secretions to their transcriptional state. By developing and using secretion encoded single-cell sequencing (SEC-seq), which exploits hydrogel nanovials to capture individual cells and their secretions, we simultaneously measured the secretion of vascular endothelial growth factor A (VEGF-A) and the transcriptome for thousands of individual mesenchymal stromal cells (MSCs). We found that VEGF-A secretion is heterogeneous across the cell population and lowly correlated with the VEGFA transcript level. While there is a modest population-wide increase in VEGF-A secretion by hypoxic induction, highest VEGF-A secretion across normoxic and hypoxic culture conditions occurs in a subpopulation of MSCs characterized by a unique gene expression signature. Taken together, SEC-seq enables the identification of specific genes involved in the control of secretory states, which may be exploited for developing means to modulate cellular secretion for disease treatment.
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spelling pubmed-98819582023-01-28 Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells Udani, Shreya Langerman, Justin Koo, Doyeon Baghdasarian, Sevana Cheng, Brian Kang, Simran Soemardy, Citradewi de Rutte, Joseph Plath, Kathrin Carlo, Dino Di bioRxiv Article Cells secrete numerous bioactive molecules essential for the function of healthy organisms. However, there are no scalable methods to link individual cell secretions to their transcriptional state. By developing and using secretion encoded single-cell sequencing (SEC-seq), which exploits hydrogel nanovials to capture individual cells and their secretions, we simultaneously measured the secretion of vascular endothelial growth factor A (VEGF-A) and the transcriptome for thousands of individual mesenchymal stromal cells (MSCs). We found that VEGF-A secretion is heterogeneous across the cell population and lowly correlated with the VEGFA transcript level. While there is a modest population-wide increase in VEGF-A secretion by hypoxic induction, highest VEGF-A secretion across normoxic and hypoxic culture conditions occurs in a subpopulation of MSCs characterized by a unique gene expression signature. Taken together, SEC-seq enables the identification of specific genes involved in the control of secretory states, which may be exploited for developing means to modulate cellular secretion for disease treatment. Cold Spring Harbor Laboratory 2023-01-08 /pmc/articles/PMC9881958/ /pubmed/36711480 http://dx.doi.org/10.1101/2023.01.07.523110 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Udani, Shreya
Langerman, Justin
Koo, Doyeon
Baghdasarian, Sevana
Cheng, Brian
Kang, Simran
Soemardy, Citradewi
de Rutte, Joseph
Plath, Kathrin
Carlo, Dino Di
Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells
title Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells
title_full Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells
title_fullStr Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells
title_full_unstemmed Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells
title_short Secretion encoded single-cell sequencing (SEC-seq) uncovers gene expression signatures associated with high VEGF-A secretion in mesenchymal stromal cells
title_sort secretion encoded single-cell sequencing (sec-seq) uncovers gene expression signatures associated with high vegf-a secretion in mesenchymal stromal cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9881958/
https://www.ncbi.nlm.nih.gov/pubmed/36711480
http://dx.doi.org/10.1101/2023.01.07.523110
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