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Gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells
Genome-wide nuclear run-ons are a powerful way to determine the impact of a perturbation such as transcription factor degradation on transcriptional patterns. But often investigators are interested in monitoring transcriptional effects at specific sets of genes, rather than the entire genome. Here w...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669106/ https://www.ncbi.nlm.nih.gov/pubmed/34917979 http://dx.doi.org/10.1016/j.xpro.2021.101000 |
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author | Guarnaccia, Alissa D. Weissmiller, April M. Tansey, William P. |
author_facet | Guarnaccia, Alissa D. Weissmiller, April M. Tansey, William P. |
author_sort | Guarnaccia, Alissa D. |
collection | PubMed |
description | Genome-wide nuclear run-ons are a powerful way to determine the impact of a perturbation such as transcription factor degradation on transcriptional patterns. But often investigators are interested in monitoring transcriptional effects at specific sets of genes, rather than the entire genome. Here we describe an approach that couples genome engineering to tag endogenous proteins for degradation with a streamlined nuclear run-on assay to yield gene-specific information on primary transcriptional changes elicited by factor depletion. For complete details on the use and execution of this protocol, please refer to Guarnaccia et al. (2021). |
format | Online Article Text |
id | pubmed-8669106 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-86691062021-12-15 Gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells Guarnaccia, Alissa D. Weissmiller, April M. Tansey, William P. STAR Protoc Protocol Genome-wide nuclear run-ons are a powerful way to determine the impact of a perturbation such as transcription factor degradation on transcriptional patterns. But often investigators are interested in monitoring transcriptional effects at specific sets of genes, rather than the entire genome. Here we describe an approach that couples genome engineering to tag endogenous proteins for degradation with a streamlined nuclear run-on assay to yield gene-specific information on primary transcriptional changes elicited by factor depletion. For complete details on the use and execution of this protocol, please refer to Guarnaccia et al. (2021). Elsevier 2021-12-08 /pmc/articles/PMC8669106/ /pubmed/34917979 http://dx.doi.org/10.1016/j.xpro.2021.101000 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Guarnaccia, Alissa D. Weissmiller, April M. Tansey, William P. Gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells |
title | Gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells |
title_full | Gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells |
title_fullStr | Gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells |
title_full_unstemmed | Gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells |
title_short | Gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells |
title_sort | gene-specific quantification of nascent transcription following targeted degradation of endogenous proteins in cultured cells |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8669106/ https://www.ncbi.nlm.nih.gov/pubmed/34917979 http://dx.doi.org/10.1016/j.xpro.2021.101000 |
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