Aug 2026· The FASEB Journal· Vol 40· 0 citations· 81 references
Medicine
TL;DR
Overall, this paper supports the view that HI of TFs and chromatin regulators does not rely on a single mechanism, and is a phenotypic consequence of the disruption of diverse molecular and network architectures that translate dosage perturbations into discrete biochemical and phenotypic outcomes.
Abstract
Many developmental and physiological outcomes depend on transcriptional thresholds or switches. The transcriptional output, ultimately measured as mature RNA, is determined by a series of molecular steps that can introduce thresholds, bottlenecks, or amplification mechanisms. Their combination can convert quantitative changes in regulator abundance into more‐than‐proportional changes in mature RNA production. Such nonlinear, S‐shaped/sigmoidal input–output relationships may account, at least in part, for the haploinsufficiency (HI) of transcription factors (TFs) and chromatin regulators. Here, we link genetic evidence for dosage sensitivity to biochemical nonlinearity in the context of transcription regulation. Without aiming to be exhaustive, we discuss several sources of sigmoidicity, such as classical cooperative DNA binding and transcriptional synergy. We also analyze how chromatin factors, three‐dimensional nuclear organization, and transcriptional condensates can generate thresholds. In addition, we explore the roles of epigenetic hysteresis and molecular memory. Finally, at the systems level, we consider how nonlinearities can emerge from regulatory networks that convert graded changes in regulator abundance into stable alternative states. Overall, this paper supports the view that HI of TFs and chromatin regulators does not rely on a single mechanism. Rather, HI is a phenotypic consequence of the disruption of diverse molecular and network architectures that translate dosage perturbations into discrete biochemical and phenotypic outcomes.
Quantitatively relating transcription factor (TF) input to gene expression output is central to understanding mammalian gene regulation and essential for designing predictable synthetic expression systems. However, even minimal synthetic systems often exhibit unexplained behaviors. In a widely used inducible mammalian...
Eli J. Costa, Carolina Rios-Martinez, Cecelia J. Andrews et al.· bioRxiv· 0 citations
This work highlights non-canonical transcriptional kinases that could operate alongside and beyond CDKs to modulate transcription by RNAPII, and discusses how these kinases could introduce context-specific CTD modifications that enable transcriptional plasticity, facilitate rapid loci-specific activation, and integrate...
David D. Lowe, A. Shilatifard· Molecules and Cells· 0 citations
Transcription and three‐dimensional (3D) genome organization are closely coupled, but their precise relationship remains unresolved. Evidence from perturbation, imaging, and modeling studies suggests that transcription is not strictly required for the establishment of large‐scale genome features such as compartments an...
Genes function within dense networks of interactions, where phenotypes often depend on the relative expression levels rather than loss or gain of function. Most genetic interactions in
Saccharomyces cerevisiae
have been identified using deletions or overexpression, leaving dosage-dependent interactions underexplo...
Models of gene regulatory networks (GRNs) underlying cell-fate decision systems treat regulatory parameters as fixed quantities, although transcription-factor efficacy varies with molecular context. We asked how temporal fluctuations in interaction strength, rather than molecular abundance, alter phenotype occupancy in...
K. Hari, Abhay Gupta, Lakshmi Malvadi Shivakumar et al.· bioRxiv· 0 citations
The central dogma of molecular biology, which delineates the flow of genetic information from DNA to RNA to proteins, is fundamental to cellular identity and functionality. This process involves intricate steps of transcription, mRNA processing, translation, and protein processing, each of which has been studied extens...
Bo-Kai Zhu· Advances in Experimental Med...· 0 citations
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