<!-- .slide: data-background="https://raw.githubusercontent.com/maxulysse/maxulysse.github.io/main/assets/img/svg/green_white_bg.svg" --> <a href="https://www.nf-co.re"><img src="https://raw.githubusercontent.com/nf-core/logos/master/byte-size-logos/bytesize-darkbg.svg" width="65%"><img></a> # nascent Edmund Miller / <img src="https://openmoji.org/data/color/svg/E040.svg" width=50> @e_miller88 / <img src="https://openmoji.org/data/color/svg/E045.svg" width=50> @emiller88 <a href="https://utdallas.edu"><img src="https://gist.githubusercontent.com/Emiller88/b2247c2883c3209950bebb89d5cb9a5f/raw/5455a28a6b27ffe90f32a947986eb80ebe63c6fa/utdmonogram.svg" width="80%"><img></a> --- # Overview - Background on Nascent Transcript Identification - History of Development - Pipeline Overview --- #### Background on Nascent Transcript Identification - Goal is to identify changes in transcription - Rather than RNAseq which isolates all of the RNA in cell - Pulling out the transcriptionally activate sites **through metabolical labelling** - Covering a lot of different assays - Slight variation in computational pipeline can result in **25% change in results** --- # Enhancers - Cis-acting DNA sequences that can increase the transcription of genes - The human genome contains ++hundreds of thousands++ of enhancers - Evidence of Enhancer-Promoter interaction from cross-linking assays (3c) - enhancer RNAs (**eRNA**) have a short half-life so in low abundance <!-- [^3]: Pennacchio 2013 --> --- # Enhancer-promoter Looping ![](https://hackmd.io/_uploads/ByBEPgAEs.png) <!-- Need an image that's simple but shows the eRNA coming from the region --> --- # What the Reads Look Like ![Comparison of Assays](https://i.imgur.com/rcLuYPI.png =x500) --- ## Nascent Transcript(NT) and Transcription Start Sites(TSS) ![NT vs TSS](https://i.imgur.com/2PSwIKO.png) - Currently 13+ assays for nascent transcript identification - "minor changes in sample processing could lead to changes of up to >20% in the final results" --- # History of Development - Version 1.0 was developed by Ignacio Tripodi and Margaret Gruca and released Apr 16, 2019 - In 2017, THK lab started working to reproduce Kim et al. 2018 in a second dataset - Struggled with building a reproducible pipeline in snakemake and creating CI/CD workflows and templates in January 2020 - Found nf-core in March 2020 --- # How far we've come ![Original DAG](https://i.imgur.com/vk93ZHL.png =210x) [Original 2018 presentation](https://github.com/Emiller88/edmundmiller.dev/tree/master/static/presentations/2018-04-25) --- # Obligatory Metro Map ![Nascent Metro Map](https://i.imgur.com/SQOYy6L.png =800x) --- # CHM13 Support ![Increased MACS2 calls with CHM13](https://hackmd.io/_uploads/ryhtGhTVj.png) --- # Transcript Identification - GroHMM - Predicts transcripts from aligned GROSeq data in the form of bed files. - HOMER - Transcript identification from GROSeq data - PINTS - Identifies transcriptional regulatory elements (TREs) identified from nascent-transcript sequencing. --- ## GroHMM ![GroHMM vs HOMER](https://hackmd.io/_uploads/B1iWxl0Vj.png =450x) - R package released in 2015 by Minho Chae, Charles Danko, & Lee Kraus - Draw back is it requires tuning and is quite memory hungry - [Recommended we use tunits instead](https://github.com/dankoc/groHMM/issues/4) --- # HOMER ![HOMER Groseq](https://i.imgur.com/29L6tFA.png) - Released in 2010 from the Glass lab and continued by Chris Brenner - Created in a land before docker `configureHomer.pl` --- # PINTS Identification ![PINTS Fig 5](https://hackmd.io/_uploads/SJ0tfx04s.png =750x) <!-- TODO Check to see if groseq is giving a full transcript or just a start site --> --- # PINTS - Released in 2022 by Yu Lab and Lis Lab - Determines the TSS site(opposed to entire transcription units) - PINTS achieves optimal balance among resolution, robustness, sensitivity, specificity and computational resources required. - Supports 10 assays out of the box --- ## Need help? <!-- .slide: data-background="https://raw.githubusercontent.com/maxulysse/maxulysse.github.io/main/assets/img/svg/green_white_bg.svg" --> Repository: [`nf-core/nascent`](https://github.com/nf-core/nascent) Tutorial: [`https://nf-co.re/nascent/2.0.0/usage`](https://nf-co.re/nascent/2.0.0/usage) Chat: [`https://nf-co.re/join`](https://nf-co.re/join) <img src="https://cdn.brandfolder.io/5H442O3W/at/pl546j-7le8zk-6gwiyo/Slack_Mark.svg" width=7.5%></img>`#nascent` <div style="margin-top:0.1em">&nbsp;</div> <p align="center"> Follow nf-core on <a href="https://www.twitter.com/nf_core"><img src="https://openmoji.org/data/color/svg/E040.svg" width=6%></a> <a href="https://github.com/nf-core"><img src="https://openmoji.org/data/color/svg/E045.svg" width=6%></a> <a href="https://www.youtube.com/c/nf-core"><img src="https://openmoji.org/data/color/svg/E044.svg" width=6%></a> </a> </p> <a href="https://nf-co.re/" style="color: #000000; font-family:Monaco, monospace; font-weight:bold;">https://nf-co.re/</a> <div style="display: flex; justify-content: space-evenly; align-items:center;"> <img src="https://chanzuckerberg.com/wp-content/themes/czi/img/logo.svg" width=15%> <div style="font-style:italic; font-size: 0.5em; color: #666;">Icons:<br><a href="https://openmoji.org">openmoji.org</a></div></div> --- # References > Yao, L., Liang, J., Ozer, A. et al. A comparison of experimental assays and analytical methods for genome-wide identification of active enhancers. > Pennacchio LA, Bickmore W, Dean A, Nobrega MA, Bejerano G. Enhancers: five essential questions. Nat Rev Genet. 2013 Apr;14(4):288-95. doi: 10.1038/nrg3458. PMID: 23503198; PMCID: PMC4445073. > Chae M, Danko CG, Kraus WL (2015). “groHMM: a computational tool for identifying unannotated and cell type-specific transcription units from global run-on sequencing data.” BMC Bioinformatics, 16(222). > Heinz S, Benner C, Spann N, et al. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. 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