ArticleNucleic acids research2014
Multiple novel promoter-architectures revealed by decoding the hidden heterogeneity within the genome.
Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Identifying promoter sequence architectures via a chunking-based algorithm using non-negative matrix factorisation.PLoS computational biology · 2023Article
- DIVERSITY in binding, regulation, and evolution revealed from high-throughput ChIP.PLoS computational biology · 2018Article
- THiCweed: fast, sensitive detection of sequence features by clustering big datasets.Nucleic acids research · 2018Article
- No Promoter Left Behind (NPLB): learn de novo promoter architectures from genome-wide transcription start sites.Bioinformatics (Oxford, England) · 2016Article
- Leaderless Transcripts and Small Proteins Are Common Features of the Mycobacterial Translational Landscape.PLoS genetics · 2015Article
- Expression analysis of the Arabidopsis thaliana AtSpen2 gene, and its relationship with other plant genes encoding Spen proteins.Genetics and molecular biologyArticle
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
An important question in biology is how different promoter-architectures contribute to the diversity in regulation of transcription initiation. A step forward has been the production of genome-wide maps of transcription start sites (TSSs) using high-throughput sequencing. However, the subsequent step of characterizing promoters and their functions is still largely done on the basis of previously established promoter-elements like the TATA-box in eukaryotes or the -10 box in bacteria. Unfortunately, a majority of promoters and their activities cannot be explained by these few elements. Traditional motif discovery methods that identify novel elements also fail here, because TSS neighborhoods are often highly heterogeneous containing no overrepresented motif. We present a new, organism-independent method that explicitly models this heterogeneity while unraveling different promoter-architectures. For example, in five bacteria, we detect the presence of a pyrimidine preceding the TSS under very specific circumstances. In tuberculosis, we show for the first time that the spacing between the bacterial 10-motif and TSS is utilized by the pathogen for dynamic gene-regulation. In eukaryotes, we identify several new elements that are important for development. Identified promoter-architectures show differential patterns of evolution, chromatin structure and TSS spread, suggesting distinct regulatory functions. This work highlights the importance of characterizing heterogeneity within high-throughput genomic data rather than analyzing average patterns of nucleotide composition.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.