Multi-landmark alignment of genomic signals reveals conserved expression patterns across transcription start sites
Abstract
The prevalent one-dimensional alignment of genomic signals to a reference landmark is a cornerstone of current methods to study transcription and its DNA-dependent processes but it is prone to mask potential relations among multiple DNA elements. We developed a systematic approach to align genomic signals to multiple locations simultaneously by expanding the dimensionality of the genomic-coordinate space. We analyzed transcription in human and uncovered a complex dependence on the relative position of neighboring transcription start sites (TSSs) that is consistently conserved among cell types. The dependence ranges from enhancement to suppression of transcription depending on the relative distances to the TSSs, their intragenic position, and the transcriptional activity of the gene. Our results reveal a conserved hierarchy of alternative TSS usage within a previously unrecognized level of genomic organization and provide a general methodology to analyze complex functional relationships among multiple types of DNA elements.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 7th percentile
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR
Robert A. Policastro, Daniel J. McDonald, … Gabriel E. Zentner·NAR Genomics and BioinformaticsPeer-reviewed·Apr 9, 2021
- The Patterns of Alternative TSS Usage Explain the Highly Heterogeneous Landscape of 5'UTR Lengths in Eukaryotes
Yu Zhan, Zhenbin Hu, … Zhenguo Lin·NAR Genomics and BioinformaticsPeer-reviewed·Oct 7, 2025
- Deciphering Transcriptional Regulation of Human Core Promoters
Shira Weingarten-Gabbay, Ronit Nir, … Eran Segal·Genome ResearchPeer-reviewed·Feb 1, 2019
- TSA-Seq Mapping of Nuclear Genome Organization
Yu Chen, Yang Zhang, … Andrew S. Belmont·The Journal of Cell BiologyPeer-reviewed·Aug 28, 2018
- Foundation model reveals the shared organization of transcription and topologically associating domains
Huan Liang, Bonnie Berger, Rohit Singh·Cell SystemsPeer-reviewed·Jul 17, 2026
- Quantitative spatial analysis of bacterial transcriptome and chromosome structural data with GRATIOSA: application to twin-supercoiled domain distribution
Maïwenn Pineau, Raphaël Forquet, … Sam Meyer·Nucleic Acids ResearchPeer-reviewed·May 16, 2025