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1. TSSr: an R package for comprehensive analyses of TSS sequencing data

   https://doi.org/10.1093/nargab/lqab108  

   Lu, Zhaolian; Berry, Keenan; Hu, Zhenbin; Zhan, Yu; Ahn, Tae-Hyuk; Lin, Zhenguo (November 2021, NAR Genomics and Bioinformatics)

   Abstract Transcription initiation is regulated in a highly organized fashion to ensure proper cellular functions. Accurate identification of transcription start sites (TSSs) and quantitative characterization of transcription initiation activities are fundamental steps for studies of regulated transcriptions and core promoter structures. Several high-throughput techniques have been developed to sequence the very 5′end of RNA transcripts (TSS sequencing) on the genome scale. Bioinformatics tools are essential for processing, analysis, and visualization of TSS sequencing data. Here, we present TSSr, an R package that provides rich functions for mapping TSS and characterizations of structures and activities of core promoters based on all types of TSS sequencing data. Specifically, TSSr implements several newly developed algorithms for accurately identifying TSSs from mapped sequencing reads and inference of core promoters, which are a prerequisite for subsequent functional analyses of TSS data. Furthermore, TSSr also enables users to export various types of TSS data that can be visualized by genome browser for inspection of promoter activities in association with other genomic features, and to generate publication-ready TSS graphs. These user-friendly features could greatly facilitate studies of transcription initiation based on TSS sequencing data. The source code and detailed documentations of TSSr can be freely accessed at https://github.com/Linlab-slu/TSSr. 

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2. Computational annotation of miRNA transcription start sites

   https://doi.org/10.1093/bib/bbz178  

   Wang, Saidi; Talukder, Amlan; Cha, Mingyu; Li, Xiaoman; Hu, Haiyan (January 2020, Briefings in Bioinformatics)

   Abstract Motivation MicroRNAs (miRNAs) are small noncoding RNAs that play important roles in gene regulation and phenotype development. The identification of miRNA transcription start sites (TSSs) is critical to understand the functional roles of miRNA genes and their transcriptional regulation. Unlike protein-coding genes, miRNA TSSs are not directly detectable from conventional RNA-Seq experiments due to miRNA-specific process of biogenesis. In the past decade, large-scale genome-wide TSS-Seq and transcription activation marker profiling data have become available, based on which, many computational methods have been developed. These methods have greatly advanced genome-wide miRNA TSS annotation. Results In this study, we summarized recent computational methods and their results on miRNA TSS annotation. We collected and performed a comparative analysis of miRNA TSS annotations from 14 representative studies. We further compiled a robust set of miRNA TSSs (RSmirT) that are supported by multiple studies. Integrative genomic and epigenomic data analysis on RSmirT revealed the genomic and epigenomic features of miRNA TSSs as well as their relations to protein-coding and long non-coding genes. Contact xiaoman@mail.ucf.edu, haihu@cs.ucf.edu 

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3. Distinct roles of nucleosome sliding and histone modifications in controlling the fidelity of transcription initiation

   https://doi.org/10.1080/15476286.2020.1860389  

   Zhang, Huiming; Lu, Zhaolian; Zhan, Yu; Rodriguez, Judith; Lu, Chen; Xue, Yong; Lin, Zhenguo (December 2020, RNA Biology)

   null (Ed.)

   Regulation of gene expression starts from the transcription initiation. Regulated transcription initiation is critical for generating correct transcripts with proper abundance. The impact of epigenetic control, such as histone modifications and chromatin remodelling, on gene regulation has been extensively investigated, but their specific role in regulating transcription initiation is far from well understood. Here we aimed to better understand the roles of genes involved in histone H3 methylations and chromatin remodelling on the regulation of transcription initiation at a genome-scale using the budding yeast as a study system. We obtained and compared maps of transcription start site (TSS) at single-nucleotide resolution by nAnT-iCAGE for a strain with depletion of MINC (Mot1-Ino80C-Nc2) by Mot1p and Ino80p anchor-away (Mot1&Ino80AA) and a strain with loss of histone methylation (set1Δset2Δdot1Δ) to their wild-type controls. Our study showed that the depletion of MINC stimulated transcription initiation from many new sites flanking the dominant TSS of genes, while the loss of histone methylation generates more TSSs in the coding region. Moreover, the depletion of MINC led to less confined boundaries of TSS clusters (TCs) and resulted in broader core promoters, and such patterns are not present in the ssdΔ mutant. Our data also exhibits that the MINC has distinctive impacts on TATA-containing and TATA-less promoters. In conclusion, our study shows that MINC is required for accurate identification of bona fide TSSs, particularly in TATA-containing promoters, and histone methylation contributes to the repression of transcription initiation in coding regions. 

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4. Noncanonical transcription initiation is primarily tissue specific and epigenetically tuned in paleopolyploid plants

   https://doi.org/10.1093/plcell/koae288  

   Wang, Xutong; Duan, Jingbo; Clark, Chancelor B; Feng, Wanjie; Ma, Jianxin (November 2024, The Plant Cell)

   Abstract Alternative transcription initiation (ATI) appears to be a ubiquitous regulatory mechanism of gene expression in eukaryotes. However, the extent to which it affects the products of gene expression and how it evolves and is regulated remain unknown. Here, we report genome-wide identification and analysis of transcription start sites (TSSs) in various soybean (Glycine max) tissues using a survey of transcription initiation at promoter elements with high-throughput sequencing (STRIPE-seq). We defined 193,579 TSS clusters/regions (TSRs) in 37,911 annotated genes, with 56.5% located in canonical regulatory regions and 43.5% from start codons to 3′ untranslated regions, which were responsible for changes in open reading frames of 24,131 genes. Strikingly, 6,845 genes underwent ATI within coding sequences (CDSs). These CDS-TSRs were tissue-specific, did not have TATA-boxes typical of canonical promoters, and were embedded in nucleosome-free regions flanked by nucleosomes with enhanced levels of histone marks potentially associated with intragenic transcriptional initiation, suggesting that ATI within CDSs was epigenetically tuned and associated with tissue-specific functions. Overall, duplicated genes possessed more TSRs, exhibited lower degrees of tissue specificity, and underwent stronger purifying selection than singletons. This study highlights the significance of ATI and the genomic and epigenomic factors shaping the distribution of ATI in CDSs in a paleopolyploid eukaryote. 

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5. Genome-Wide TSS Identification in Maize

   https://doi.org/10.1007/978-1-4939-8657-6  

   Mejia-Guerra, Maria K; Li, Wei; Doseff, Andrea I; Grotewold, Erich (January 2018, Methods in molecular biology)

   Regulation of gene expression is a fundamental biological process that relies on transcription factors (TF) recognizing specific cis motifs in the regulatory regions of the genes that they control. In most eukaryotic organisms, cis-regulatory elements are significantly enriched around the transcription start site (TSS). However, different from other genic features, TSSs need to be experimentally determined, becoming then important components of genome annotations. One of the methods for experimentally determining TSSs at the genome-wide level is CAGE (cap analysis of gene expression). This chapter describes how to prepare a CAGE library for sequencing, starting with RNA extraction, library construction, and quality controls before proceed to sequencing in the Illumina platform. We then describe how to use a computational pipeline to determine, from the alignment of CAGE tags, the genome-wide location of TSSs, followed with statistical approaches required to cluster TSSs that operate as transcriptional units, and to determine core promoter properties such as shape. The analyses described here focus on maize, since its large and yet deficiently annotated genome creates some unique challenges, but with some modifications can be easily adopted for other organisms as well. 

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