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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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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. |
format | Online Article Text |
id | pubmed-9881958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
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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