ArticleComputational and structural biotechnology journal2026
Regulation Ratio: A Singular Multi-Omic Measurement of Gene Regulatory Mechanisms.
Article in Computational and structural biotechnology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gene expression is regulated through a complex interplay between transcriptional and post-transcriptional mechanisms, yet their relative contributions and relationships remain incompletely understood. In this study, we propose normalized metrics to quantify regulatory density at each of these 2 levels by integrating assay for transposase-accessible chromatin sequencing (ATAC-seq), RNA sequencing (RNA-seq), and protein occupancy profiling sequencing (POP-seq) data across 3 human cell lines-HEK293, HepG2, and K562-to assess gene-specific regulatory variations. This analysis revealed 3 distinct regulatory classes: predominantly post-transcriptionally regulated, predominantly transcriptionally regulated, and balanced genes. Using this metric, prominent associations between regulatory strategies and gene properties were uncovered, with transcriptionally regulated genes exhibiting greater length, post-transcriptionally regulated genes displaying higher isoform diversity and expression levels, and specific transcript types showing consistent enrichment patterns across regulatory categories. Remarkably, 55.8% of genes maintained identical regulatory classification across the 3 cell lines examined, with functional pathway analysis demonstrating high conservation of regulatory-functional relationships despite different cellular origins. This study provides a novel framework for understanding gene regulatory strategies and demonstrates that the relationship between gene properties and regulatory mechanisms represents a fundamental organizational principle that could transcend cell type specificity, with important implications for understanding dysregulation in disease states.
Identifiers
What OpenQuestion holds
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.