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Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity
Immediate-early response genes (IEGs) are rapidly and transiently induced following an extracellular signal. Elucidating the IEG response patterns in single cells (SCs) requires assaying large numbers of timed samples at high accuracy while minimizing handling effects. To achieve this, we developed...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6265460/ https://www.ncbi.nlm.nih.gov/pubmed/30357357 http://dx.doi.org/10.1093/nar/gky991 |
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author | Ruf-Zamojski, Frederique Ge, Yongchao Nair, Venugopalan Zamojski, Michel Pincas, Hanna Toufaily, Chirine Tome-Garcia, Jessica Stoeckius, Marlon Stephenson, William Smith, Gregory R Bernard, Daniel J Tsankova, Nadejda M Hartmann, Boris M Fribourg, Miguel Smibert, Peter Swerdlow, Harold Turgeon, Judith L Sealfon, Stuart C |
author_facet | Ruf-Zamojski, Frederique Ge, Yongchao Nair, Venugopalan Zamojski, Michel Pincas, Hanna Toufaily, Chirine Tome-Garcia, Jessica Stoeckius, Marlon Stephenson, William Smith, Gregory R Bernard, Daniel J Tsankova, Nadejda M Hartmann, Boris M Fribourg, Miguel Smibert, Peter Swerdlow, Harold Turgeon, Judith L Sealfon, Stuart C |
author_sort | Ruf-Zamojski, Frederique |
collection | PubMed |
description | Immediate-early response genes (IEGs) are rapidly and transiently induced following an extracellular signal. Elucidating the IEG response patterns in single cells (SCs) requires assaying large numbers of timed samples at high accuracy while minimizing handling effects. To achieve this, we developed and validated RNA stabilization Buffer for Examination of Single-cell Transcriptomes (RNA-Best), a versatile single-step cell and tissue preservation protocol that stabilizes RNA in intact SCs without perturbing transcription patterns. We characterize for the first time SC heterogeneity in IEG responses to pulsatile gonadotropin-releasing hormone (GnRH) stimuli in pituitary gonadotrope cells. Our study identifies a gene-specific hierarchical pattern of all-or-none transcript induction elicited by increasing concentrations of GnRH. This quantal pattern of gene activation raises the possibility that IEG activation, when accurately resolved at the SC level, may be mediated by gene bits that behave as pure binary switches. |
format | Online Article Text |
id | pubmed-6265460 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-62654602018-12-04 Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity Ruf-Zamojski, Frederique Ge, Yongchao Nair, Venugopalan Zamojski, Michel Pincas, Hanna Toufaily, Chirine Tome-Garcia, Jessica Stoeckius, Marlon Stephenson, William Smith, Gregory R Bernard, Daniel J Tsankova, Nadejda M Hartmann, Boris M Fribourg, Miguel Smibert, Peter Swerdlow, Harold Turgeon, Judith L Sealfon, Stuart C Nucleic Acids Res Genomics Immediate-early response genes (IEGs) are rapidly and transiently induced following an extracellular signal. Elucidating the IEG response patterns in single cells (SCs) requires assaying large numbers of timed samples at high accuracy while minimizing handling effects. To achieve this, we developed and validated RNA stabilization Buffer for Examination of Single-cell Transcriptomes (RNA-Best), a versatile single-step cell and tissue preservation protocol that stabilizes RNA in intact SCs without perturbing transcription patterns. We characterize for the first time SC heterogeneity in IEG responses to pulsatile gonadotropin-releasing hormone (GnRH) stimuli in pituitary gonadotrope cells. Our study identifies a gene-specific hierarchical pattern of all-or-none transcript induction elicited by increasing concentrations of GnRH. This quantal pattern of gene activation raises the possibility that IEG activation, when accurately resolved at the SC level, may be mediated by gene bits that behave as pure binary switches. Oxford University Press 2018-11-30 2018-10-24 /pmc/articles/PMC6265460/ /pubmed/30357357 http://dx.doi.org/10.1093/nar/gky991 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Genomics Ruf-Zamojski, Frederique Ge, Yongchao Nair, Venugopalan Zamojski, Michel Pincas, Hanna Toufaily, Chirine Tome-Garcia, Jessica Stoeckius, Marlon Stephenson, William Smith, Gregory R Bernard, Daniel J Tsankova, Nadejda M Hartmann, Boris M Fribourg, Miguel Smibert, Peter Swerdlow, Harold Turgeon, Judith L Sealfon, Stuart C Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity |
title | Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity |
title_full | Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity |
title_fullStr | Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity |
title_full_unstemmed | Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity |
title_short | Single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity |
title_sort | single-cell stabilization method identifies gonadotrope transcriptional dynamics and pituitary cell type heterogeneity |
topic | Genomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6265460/ https://www.ncbi.nlm.nih.gov/pubmed/30357357 http://dx.doi.org/10.1093/nar/gky991 |
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