To enhance the quantitative comprehension of cellular decision-making processes, Dr. Gregory Reeves and his colleagues within the chemical engineering department have undertaken the task of deciphering how a specific transcription factor influences alterations in gene expression within cells.
The research conducted by the team, recently disseminated in the esteemed journal Science Advances, centers on a protein known as Dorsal. This protein is a variant of nuclear factor-κB (NF-κB), a pivotal transcription factor that governs cellular functions and decision-making, while simultaneously regulating crucial aspects of cell immunity and development.
NF-κB plays a significant role in several medically relevant cellular activities, including inflammation, the innate immune response, and the process of wound healing. A profound understanding of this mechanism could pave the way for our ability to modulate these cellular processes. This is particularly important because aberrations in NF-κB activity can precipitate pathological conditions, such as cancer.”
Dr. Gregory Reeves
Within the cell’s nucleus, NF-κB exists in various configurations. It possesses the capacity to associate with DNA, aggregate into clusters, and be either in an active or inactive state. The findings from Reeves’ group demonstrate that gene regulation occurs at this molecular level.
“We are capable of differentiating between molecules exhibiting slow movement, those moving at a rapid pace, and even those that remain stationary,” stated Reeves. “This differentiation is achieved through the application of fluctuation spectroscopy, a methodology that quantifies the extent of Dorsal molecule mobility.”
The ultimate objective is to construct a comprehensive map that establishes a correlation between the quantity of Dorsal present in the nucleus and the proportion of it that is bound to DNA. Elucidating this intricate relationship between Dorsal and its DNA binding patterns will foster a predictive understanding, potentially revealing avenues for manipulating this biological pathway for therapeutic interventions.
By employing specialized imaging techniques to identify the distinct states of Dorsal within the cellular environment, the research team succeeded in formulating mathematical models. These models accurately represent the extent to which Dorsal binds to DNA and the degree to which it forms aggregated structures.
In prior investigations, Reeves’ team had relied on imaging techniques that captured only static snapshots. For this latest work, they elected to monitor the cells over an extended period.
The scope of this research spans multiple spatial dimensions and temporal scales, enabling the acquisition of a comprehensive, nucleus-wide perspective on the mechanism that links Dorsal to DNA.
“Our analysis of the freely mobile Dorsal molecules indicated that this mobility appeared independent of their total concentration within the nucleus,” Reeves elaborated. “This map will delineate the amount of Dorsal that is not bound and is able to move freely within the nucleus. Once it is developed, the scientific community can readily utilize it to advance their comprehension of gene regulation.”
The correlation between the quantity of NF-κB present in the nucleus and its functional engagement with DNA becomes readily apparent upon the application of these methodologies. This facilitated Reeves and his team’s assessment of different embryonic regions.
The researchers discovered that the quantity of NF-κB available for free movement remains consistent across various sections of the embryo. Conversely, the amount of NF-κB bound to DNA exhibits variability, suggesting a non-linear relationship between these two quantities. “Armed with this insight into Dorsal’s interactions with DNA, we possess an enhanced understanding of the necessary intervention levels required to activate the NF-κB pathway, should therapeutic action become advisable,” Reeves concluded.
Dima, S. S., et al. (2026). Global maps of transcription factor properties reveal threshold-based formation of DNA-bound and mobile clusters. Science Advances. DOI: 10.1126/sciadv.ady3909. https://www.science.org/doi/10.1126/sciadv.ady3909
