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See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity

Single cell RNA sequencing has the potential to elucidate transcriptional programs underlying key cellular phenotypes and behaviors. However, many cell phenotypes are incompatible with indiscriminate single cell sequencing because they are rare, transient, or can only be identified by imaging. Exist...

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Autores principales: Lee, Jeong Hyun, Park, Emily S., Choi, Jane Ru, Matthews, Kerryn, Lam, Alice V., Deng, Xiaoyan, Duffy, Simon P., Ma, Hongshen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338959/
https://www.ncbi.nlm.nih.gov/pubmed/35908100
http://dx.doi.org/10.1038/s42003-022-03703-3
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author Lee, Jeong Hyun
Park, Emily S.
Choi, Jane Ru
Matthews, Kerryn
Lam, Alice V.
Deng, Xiaoyan
Duffy, Simon P.
Ma, Hongshen
author_facet Lee, Jeong Hyun
Park, Emily S.
Choi, Jane Ru
Matthews, Kerryn
Lam, Alice V.
Deng, Xiaoyan
Duffy, Simon P.
Ma, Hongshen
author_sort Lee, Jeong Hyun
collection PubMed
description Single cell RNA sequencing has the potential to elucidate transcriptional programs underlying key cellular phenotypes and behaviors. However, many cell phenotypes are incompatible with indiscriminate single cell sequencing because they are rare, transient, or can only be identified by imaging. Existing methods for isolating cells based on imaging for single cell sequencing are technically challenging, time-consuming, and prone to loss because of the need to physically transport single cells. Here, we developed See-N-Seq, a method to rapidly screen cells in microwell plates in order to isolate RNA from specific single cells without needing to physically extract each cell. Our approach involves encapsulating the cell sample in a micropatterned hydrogel with spatially varying porosity to selectively expose specific cells for targeted RNA extraction. Extracted RNA can then be captured, barcoded, reverse transcribed, amplified, and sequenced at high-depth. We used See-N-Seq to isolate and sequence RNA from cell-cell conjugates forming an immunological synapse between T-cells and antigen presenting cells. In the hours after synapsing, we found time-dependent bifurcation of single cell transcriptomic profiles towards Type 1 and Type 2 helper T-cells lineages. Our results demonstrate how See-N-Seq can be used to associate transcriptomic data with specific functions and behaviors in single cells.
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spelling pubmed-93389592022-08-01 See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity Lee, Jeong Hyun Park, Emily S. Choi, Jane Ru Matthews, Kerryn Lam, Alice V. Deng, Xiaoyan Duffy, Simon P. Ma, Hongshen Commun Biol Article Single cell RNA sequencing has the potential to elucidate transcriptional programs underlying key cellular phenotypes and behaviors. However, many cell phenotypes are incompatible with indiscriminate single cell sequencing because they are rare, transient, or can only be identified by imaging. Existing methods for isolating cells based on imaging for single cell sequencing are technically challenging, time-consuming, and prone to loss because of the need to physically transport single cells. Here, we developed See-N-Seq, a method to rapidly screen cells in microwell plates in order to isolate RNA from specific single cells without needing to physically extract each cell. Our approach involves encapsulating the cell sample in a micropatterned hydrogel with spatially varying porosity to selectively expose specific cells for targeted RNA extraction. Extracted RNA can then be captured, barcoded, reverse transcribed, amplified, and sequenced at high-depth. We used See-N-Seq to isolate and sequence RNA from cell-cell conjugates forming an immunological synapse between T-cells and antigen presenting cells. In the hours after synapsing, we found time-dependent bifurcation of single cell transcriptomic profiles towards Type 1 and Type 2 helper T-cells lineages. Our results demonstrate how See-N-Seq can be used to associate transcriptomic data with specific functions and behaviors in single cells. Nature Publishing Group UK 2022-07-30 /pmc/articles/PMC9338959/ /pubmed/35908100 http://dx.doi.org/10.1038/s42003-022-03703-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lee, Jeong Hyun
Park, Emily S.
Choi, Jane Ru
Matthews, Kerryn
Lam, Alice V.
Deng, Xiaoyan
Duffy, Simon P.
Ma, Hongshen
See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity
title See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity
title_full See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity
title_fullStr See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity
title_full_unstemmed See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity
title_short See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity
title_sort see-n-seq: rna sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338959/
https://www.ncbi.nlm.nih.gov/pubmed/35908100
http://dx.doi.org/10.1038/s42003-022-03703-3
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