Cargando…
Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes
Calling cards technology using self-reporting transposons enables the identification of DNA–protein interactions through RNA sequencing. Although immensely powerful, current implementations of calling cards in bulk experiments on populations of cells are technically cumbersome and require many repli...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428926/ https://www.ncbi.nlm.nih.gov/pubmed/36062164 http://dx.doi.org/10.1093/nargab/lqac061 |
_version_ | 1784779274482352128 |
---|---|
author | Lalli, Matthew Yen, Allen Thopte, Urvashi Dong, Fengping Moudgil, Arnav Chen, Xuhua Milbrandt, Jeffrey Dougherty, Joseph D Mitra, Robi D |
author_facet | Lalli, Matthew Yen, Allen Thopte, Urvashi Dong, Fengping Moudgil, Arnav Chen, Xuhua Milbrandt, Jeffrey Dougherty, Joseph D Mitra, Robi D |
author_sort | Lalli, Matthew |
collection | PubMed |
description | Calling cards technology using self-reporting transposons enables the identification of DNA–protein interactions through RNA sequencing. Although immensely powerful, current implementations of calling cards in bulk experiments on populations of cells are technically cumbersome and require many replicates to identify independent insertions into the same genomic locus. Here, we have drastically reduced the cost and labor requirements of calling card experiments in bulk populations of cells by introducing a DNA barcode into the calling card itself. An additional barcode incorporated during reverse transcription enables simultaneous transcriptome measurement in a facile and affordable protocol. We demonstrate that barcoded self-reporting transposons recover in vitro binding sites for four basic helix-loop-helix transcription factors with important roles in cell fate specification: ASCL1, MYOD1, NEUROD2 and NGN1. Further, simultaneous calling cards and transcriptional profiling during transcription factor overexpression identified both binding sites and gene expression changes for two of these factors. Lastly, we demonstrated barcoded calling cards can record binding in vivo in the mouse brain. In sum, RNA-based identification of transcription factor binding sites and gene expression through barcoded self-reporting transposon calling cards and transcriptomes is an efficient and powerful method to infer gene regulatory networks in a population of cells. |
format | Online Article Text |
id | pubmed-9428926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-94289262022-09-01 Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes Lalli, Matthew Yen, Allen Thopte, Urvashi Dong, Fengping Moudgil, Arnav Chen, Xuhua Milbrandt, Jeffrey Dougherty, Joseph D Mitra, Robi D NAR Genom Bioinform Methods Article Calling cards technology using self-reporting transposons enables the identification of DNA–protein interactions through RNA sequencing. Although immensely powerful, current implementations of calling cards in bulk experiments on populations of cells are technically cumbersome and require many replicates to identify independent insertions into the same genomic locus. Here, we have drastically reduced the cost and labor requirements of calling card experiments in bulk populations of cells by introducing a DNA barcode into the calling card itself. An additional barcode incorporated during reverse transcription enables simultaneous transcriptome measurement in a facile and affordable protocol. We demonstrate that barcoded self-reporting transposons recover in vitro binding sites for four basic helix-loop-helix transcription factors with important roles in cell fate specification: ASCL1, MYOD1, NEUROD2 and NGN1. Further, simultaneous calling cards and transcriptional profiling during transcription factor overexpression identified both binding sites and gene expression changes for two of these factors. Lastly, we demonstrated barcoded calling cards can record binding in vivo in the mouse brain. In sum, RNA-based identification of transcription factor binding sites and gene expression through barcoded self-reporting transposon calling cards and transcriptomes is an efficient and powerful method to infer gene regulatory networks in a population of cells. Oxford University Press 2022-08-31 /pmc/articles/PMC9428926/ /pubmed/36062164 http://dx.doi.org/10.1093/nargab/lqac061 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Article Lalli, Matthew Yen, Allen Thopte, Urvashi Dong, Fengping Moudgil, Arnav Chen, Xuhua Milbrandt, Jeffrey Dougherty, Joseph D Mitra, Robi D Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes |
title | Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes |
title_full | Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes |
title_fullStr | Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes |
title_full_unstemmed | Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes |
title_short | Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes |
title_sort | measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes |
topic | Methods Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428926/ https://www.ncbi.nlm.nih.gov/pubmed/36062164 http://dx.doi.org/10.1093/nargab/lqac061 |
work_keys_str_mv | AT lallimatthew measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes AT yenallen measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes AT thopteurvashi measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes AT dongfengping measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes AT moudgilarnav measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes AT chenxuhua measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes AT milbrandtjeffrey measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes AT doughertyjosephd measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes AT mitrarobid measuringtranscriptionfactorbindingandgeneexpressionusingbarcodedselfreportingtransposoncallingcardsandtranscriptomes |