Measuring transcription factor binding and gene expression using barcoded self-reporting transposon calling cards and transcriptomes
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PROVIDER: PRJNA802849 | ENA |
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Project description:Calling cards technology using self-reporting transposons enables the identification of DNA-protein interactions through RNA sequencing . 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. 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.
2022-02-04 | GSE195992 | GEO
Project description:Calling Cards is a platform technology to record a cumulative history of transient protein-DNA interactions in the genome of genetically targeted cell types. The record of these interactions are recovered by next generation sequencing. Compared to other genomic assays, whose readout provides a snapshot at the time of harvest, Calling Cards enables correlation of historical molecular states to eventual outcomes or phenotypes. To achieve this, Calling Cards uses the piggyBac transposase to insert self-reporting transposon (SRT) “Calling Cards” into the genome, leaving permanent marks at interaction sites. Calling Cards can be deployed in a variety of in vitro and in vivo biological systems to study gene regulatory networks involved in development, aging, and disease. Out of the box, it assesses enhancer usage but can be adapted to profile specific transcription factor binding with custom transcription factor (TF)-piggyBac fusion proteins. The Calling Cards workflow has five main stages: delivery of Calling Card reagents, sample preparation, library preparation, sequencing, and data analysis. Here, we first present a comprehensive guide for experimental design, reagent selection, and optional customization of the platform to study additional TFs. Then, we provide an updated protocol for the five steps, using reagents that improve throughput and decrease costs, including an overview of a newly deployed computational pipeline. This protocol is designed for users with basic molecular biology experience to process samples into sequencing libraries in 1-2 days. Familiarity with bioinformatic analysis and command line tools is required to set up the pipeline in a high performance computing environment and to conduct downstream analyses.
2023-02-01 | GSE223926 | GEO
Project description:The ability to chronicle transcription factor binding events throughout the development of an organism would facilitate mapping of transcriptional networks that control cell fate decisions. We describe a method for permanently recording protein-DNA interactions in mammalian cells. We endow transcription factors with the ability to deposit a transposon into the genome near to where they bind. The transposon becomes a “Calling Card” the transcription factor leaves behind to record its visit to the genome. The locations of the Calling Cards can be determined by massively-parallel DNA sequencing. We show that the transcription factor SP1 fused to the piggyBac transposase directs insertion of the piggyBac transposon near SP1 binding sites. The locations of transposon insertions are highly reproducible, and agree with sites of SP1-binding determined by ChIP-seq. Genes bound by SP1 are more likely to be expressed in the HCT116 cell line we used, and SP1-bound CpG islands show a strong preference to be unmethylated. This method has the potential to trace transcription factor binding throughout cellular and organismal development in a way that has heretofore not been possible.
2011-12-31 | GSE34791 | GEO
Project description:The ability to chronicle transcription factor binding events throughout the development of an organism would facilitate mapping of transcriptional networks that control cell fate decisions. We describe a method for permanently recording protein-DNA interactions in mammalian cells. We endow transcription factors with the ability to deposit a transposon into the genome near to where they bind. The transposon becomes a M-bM-^@M-^\Calling CardM-bM-^@M-^] the transcription factor leaves behind to record its visit to the genome. The locations of the Calling Cards can be determined by massively-parallel DNA sequencing. We show that the transcription factor SP1 fused to the piggyBac transposase directs insertion of the piggyBac transposon near SP1 binding sites. The locations of transposon insertions are highly reproducible, and agree with sites of SP1-binding determined by ChIP-seq. Genes bound by SP1 are more likely to be expressed in the HCT116 cell line we used, and SP1-bound CpG islands show a strong preference to be unmethylated. This method has the potential to trace transcription factor binding throughout cellular and organismal development in a way that has heretofore not been possible. These data contain mapped insertion sites from the piggyBac (PB) transposon into HCT116 cell line and sequenced using an Illumina GAII analyzer. The first set contains the insertion sites of transposons mapped from the wild-type PB transposase and the second set contains the insertion sites of transposons mapped with the PB transposase fused to the transcription factor SP1. Other sequencing data present are ChIP-seq data for SP1 in the HCT116 cell line and RNA-seq data.
2011-12-31 | E-GEOD-34791 | biostudies-arrayexpress
Project description:A high-confidence map of the direct, functional targets of each transcription factor (TF) requires convergent evidence from independent sources. Two significant sources of evidence are TF binding locations and the transcriptional responses to direct TF perturbations. Systematic data sets of both types exist for yeast and human. Standard analysis of the genes whose regulatory DNA is bound by a TF, assayed by ChIP-chip/seq, and the genes that respond to a perturbation of that TF, shows that these two data sources rarely converge on a common set of direct, functional targets. Even taking the few genes that are both bound and responsive as direct functional targets is not safe -- when there are many non-functional binding sites and many indirect targets, non-functional sites are expected to occur in the cis-regulatory DNA of indirect targets by chance. To address this problem, we introduce Dual Threshold Optimization, a new method for setting significance thresholds on binding and response data, and show that it improves convergence. It also enables comparison of binding data to perturbation-response data that has been processed by network inference algorithms, which further improves convergence. Next, we analyze a comprehensive new data set measuring the transcriptional response shortly after inducing overexpression of a yeast TF. We also present a new yeast binding location data set obtained by transposon calling cards and compare it to recent ChIP-exo data. The combination of dual threshold optimization and network inference greatly expands the high-confidence TF network map in both yeast and human. In yeast, measuring the response shortly after inducing TF overexpression and measuring binding locations by using transposon calling cards or ChIP-exo improve the network synergistically.
2020-02-04 | GSE144657 | GEO
Project description:I used Affy Tag4 array as a readout of the molecular barcoded yeast orf library<br>
2009-07-02 | E-MEXP-2077 | biostudies-arrayexpress
Project description:Peak calling tool for CUT&Tag histone modifications.
2022-05-16 | GSE190793 | GEO
Project description:Pseudohyphal growth is a developmental pathway seen in some strains of yeast, in which cells elongate and form multicellular filaments in response to environmental stresses. Regulation of this process is complex and involves multiple signaling pathways and a large number of transcription factors (TFs). We used multiplexed transposon M-bM-^@M-^\Calling CardsM-bM-^@M-^] to simultaneously record the genome-wide binding patterns of 28 TFs in nitrogen-starved yeast. We were able to identify TF targets relevant for pseudohyphal growth, producing a detailed map of the regulatory network that governs this process. Using tools from graph theory, we identified 8 transcription factors that lie at the center of this network, including Flo8, Mss11, and Mfg1, which bind as a complex. Surprisingly, the DNA binding preferences for these key transcription factors were not known. Using Calling Card data, we predicted the in vivo DNA binding motif for the Flo8-Mss11-Mfg1 complex and validated it using a reporter assay. We found that this complex binds several important targets, including FLO11, at both their promoter and termination sequences. We demonstrated that this binding pattern is the result of DNA-looping, which regulates the transcription of these targets and is stabilized by an interaction with the nuclear pore complex. This looping provides yeast cells with a transcriptional memory, enabling them to more rapidly execute the filamentous growth program when nitrogen-starved if they have been previously exposed to this condition. These data contain mapped insertion sites from Ty5 transposon "Calling Cards" in M-NM-#1278b yeast sequenced using an Illumina Hiseq. Other sequencing data present are RNA-seq reads.
2014-02-11 | E-GEOD-54831 | biostudies-arrayexpress
Project description:This sample was prepared with a modified version of the Tn4001 transposon commonly used in Mycoplasmas. This transposon is described to work more efficiently in Mycoplasma agalactiae and, by extension, in other Mycoplasma species. This sample was prepared transforming this bacteria with a newly designed transposon named pMTnGm-SynMyco to test its efficiency by Transposon Sequencing tracked by deep sequencing.
2019-11-15 | E-MTAB-7425 | biostudies-arrayexpress
Project description: Not available
| S-EPMC8256429 | biostudies-literature