Cargando…
A computational pipeline to visualize DNA-protein binding states using dSMF data
Here, we present a pipeline to map states of protein-binding DNA in vivo. Our pipeline infers as well as quantifies cooperative binding. Using dual-enzyme single-molecule footprinting (dSMF) data, we show how our workflow identifies binding states at an enhancer in Drosophila S2 cells. Data from cel...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026571/ https://www.ncbi.nlm.nih.gov/pubmed/35463472 http://dx.doi.org/10.1016/j.xpro.2022.101299 |
_version_ | 1784691154086789120 |
---|---|
author | Rao, Satyanarayan Ramachandran, Srinivas |
author_facet | Rao, Satyanarayan Ramachandran, Srinivas |
author_sort | Rao, Satyanarayan |
collection | PubMed |
description | Here, we present a pipeline to map states of protein-binding DNA in vivo. Our pipeline infers as well as quantifies cooperative binding. Using dual-enzyme single-molecule footprinting (dSMF) data, we show how our workflow identifies binding states at an enhancer in Drosophila S2 cells. Data from cells lacking endogenous DNA methylation are a prerequisite for this pipeline. For complete details on the use and execution of this protocol, please refer to Rao et al. (2021) and Krebs et al. (2017). |
format | Online Article Text |
id | pubmed-9026571 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-90265712022-04-23 A computational pipeline to visualize DNA-protein binding states using dSMF data Rao, Satyanarayan Ramachandran, Srinivas STAR Protoc Protocol Here, we present a pipeline to map states of protein-binding DNA in vivo. Our pipeline infers as well as quantifies cooperative binding. Using dual-enzyme single-molecule footprinting (dSMF) data, we show how our workflow identifies binding states at an enhancer in Drosophila S2 cells. Data from cells lacking endogenous DNA methylation are a prerequisite for this pipeline. For complete details on the use and execution of this protocol, please refer to Rao et al. (2021) and Krebs et al. (2017). Elsevier 2022-04-12 /pmc/articles/PMC9026571/ /pubmed/35463472 http://dx.doi.org/10.1016/j.xpro.2022.101299 Text en © 2022 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 Rao, Satyanarayan Ramachandran, Srinivas A computational pipeline to visualize DNA-protein binding states using dSMF data |
title | A computational pipeline to visualize DNA-protein binding states using dSMF data |
title_full | A computational pipeline to visualize DNA-protein binding states using dSMF data |
title_fullStr | A computational pipeline to visualize DNA-protein binding states using dSMF data |
title_full_unstemmed | A computational pipeline to visualize DNA-protein binding states using dSMF data |
title_short | A computational pipeline to visualize DNA-protein binding states using dSMF data |
title_sort | computational pipeline to visualize dna-protein binding states using dsmf data |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9026571/ https://www.ncbi.nlm.nih.gov/pubmed/35463472 http://dx.doi.org/10.1016/j.xpro.2022.101299 |
work_keys_str_mv | AT raosatyanarayan acomputationalpipelinetovisualizednaproteinbindingstatesusingdsmfdata AT ramachandransrinivas acomputationalpipelinetovisualizednaproteinbindingstatesusingdsmfdata AT raosatyanarayan computationalpipelinetovisualizednaproteinbindingstatesusingdsmfdata AT ramachandransrinivas computationalpipelinetovisualizednaproteinbindingstatesusingdsmfdata |