Biology subjects

Yehya, N.

Publications and source records attributed to Yehya, N..

7 recordsLinked to original sources

bioRxiv2026

Contrast-induced changes in chemical exchange saturation transfer MRI differentiate tumor progression from pseudoprogression

Tumor pseudo-progression (PsP) refers to an initial increase in tumor size or the appearance of new lesions. These pseudo-progressive lesions are predominantly composed of infiltrative inflammatory cells, such as macrophages. This phenomenon commonly occurs in patients undergoing radiation therapy or immunotherapy and typically indicates a positive treatment response. However, it often leads to premature treatment cessation due to misinterpretation as disease progression. Non-invasive imaging biomarkers capable of distinguishing pseudo-progression from true progression would greatly aid in treatment decision-making. In our preliminary study, we explored the potential of gadoterate meglumine (Gd-DOTA, a macrocyclic Gd-contrast) in combination with amine chemical-exchange saturation transfer (amine-CEST) imaging to differentiate tumor from radiation necrosis by assessing Gd-DOTA uptake by infiltrating immune cells, such as macrophages. To evaluate whether amine-CEST, in combination with Gd-DOTA, can differentiate macrophages from cancer cells, we incubated them with Gd-DOTA for 30 minutes. Subsequently, the cells were processed, and amine-CEST imaging was performed on a 9.4 Tesla preclinical scanner. Upon treatment with Gd-DOTA, we did not observe a significant change in amine-CEST contrast in F98 cells compared with untreated cells, whereas treated macrophages exhibited a marked decrease ([~]40%) in amine-CEST signal compared with untreated macrophages. This reduction in signal was attributed to the uptake of Gd-DOTA by macrophages, which notably shortened water T1 relaxation, thereby quenching the amine-CEST signal. Conversely, cancer cells showed no appreciable change in the amine-CEST signal, indicating no Gd-DOTA uptake. Furthermore, to validate that T1 shortening influences amine-CEST signal, cancer cells were also treated with manganese chloride (MnCl2) for 30 minutes. The uptake of MnCl2 by cancer cells similarly induced T1 shortening, as observed in macrophages, resulting in a decrease in the amine-CEST signal from these cells. Next, we performed the amin-CEST imaging on F98 tumor-bearing rats and radiation necrotic rats. Post-injection with Gd-DOTA showed no appreciable change in the amine-CEST contrast in the tumor-bearing rat, whereas a significant decrease in contrast was observed in the radiation necrotic rat. This further demonstrates that no change in the amine-CEST contrast in tumor-bearing rats is due to cancer cells failing to take up Gd-DOTA. The decrease in amine-CEST contrast in radiation-treated rats reflects the uptake of Gd-DOTA by macrophages infiltrating the radiation-necrotic regions. This straightforward imaging approach holds promise for clinical translation. It offers a novel method for characterizing pseudo-progressive lesions and monitoring diverse treatment responses in cancer patients using standard clinical scanners.

cancer biology↗

bioRxiv2025

Chromosomal Topological Domain Formation Modulates Transcription and the Coupling of Neighboring Genes in Escherichia coli

Chromosomal topology and transcription are tightly coupled, yet the quantitative impact of topological constraints on transcription, supercoiling, and the potential coupling between neighboring genes in vivo remains unclear. In this work, we constructed synthetic chromosomal domains in Escherichia coli that contained two genes inside a topology-controllable domain and a third gene outside. Using three-color single-molecule fluorescence in situ hybridization (smFISH), we measured transcription output from the three genes in individual cells under conditions in which gene orientation, domain formation state, and global chromosomal supercoiling density were varied. We found that topological domain formation repressed transcription, diminished gene orientation-dependent differences in transcription, and modulated the supercoiling sensitivity of genes located both within and near the domain. Relaxing global negative supercoiling through gyrase inhibition broadly repressed transcription; increasing global negative supercoiling level through topoisomerase I inhibition repressed highly expressed genes, while activating lowly expressed ones. Besides single-gene effects, we also observed an intrinsic coupling between neighboring genes with a non-monotonic dependence on the underlying supercoiling state, which shifted with domain topology and gene syntax. Our results establish chromosome topology as a major regulator of both transcription levels and the coupling between adjacent genes.

biophysics↗

bioRxiv2025

Magnetic Resonance Imaging for Improved Brain Tumor Detection

Precise demarcation of brain tumor boundaries is critical for optimizing treatment strategies and improving patient outcomes. In vivo characterization of tumor using PET/CT and MRI is clinical standard. PET/CT highlights the metabolic aspects of the tumor, while MRI provides information on functional, metabolic and structural changes. Even with technological advancements in both PET/CT and MRI, a method that can precisely delineate infiltrative tumor boundaries from normal-appearing brain regions (NABR) in vivo is still lacking. To address this limitation, we explored a relatively new MR imaging method, the Nuclear Overhauser Effect Magnetization Transfer Ratio (NOEMTR), in conjunction with a gadolinium-based contrast agent (Gd-DOTA), to precisely delineate the tumor boundaries in a rat model of infiltrative gliosarcoma. NOEMTR imaging was performed in the rat model (n=5) before and after Gd-DOTA administration. The post-Gd-DOTA NOEMTR map was subtracted from the pre-Gd-DOTA map and compared with contrast-enhanced T1-weighted images and immuno-histological findings. The resulting NOEMTR difference map clearly highlighted both the tumor core and infiltrative boundaries, which was not discernible on the post-contrast T1-weighted images. The extended tumor boundaries observed on the NOEMTR difference map corroborated with the IHC image, which confirmed the presence of infiltrative tumor cells and macrophages in these regions. Guided by the NOEMTR difference map, regions of interest (ROI) were drawn to quantify NOEMTR signal changes in the tumor core, tumor boundaries, and NABR post-Gd-DOTA. Tumor core showed a significant [~]43% reduction in NOEMTR signal (plJ=lJ0.003), while the tumor periphery exhibited a moderate reduction of [~]10%, (plJ=lJ0.045). No appreciable change in was observed in the NABR (plJ=lJ0.371). In contrast, the post contrast T1-weighted signal changes in tumor core, tumor periphery and NABR were, 33.32% (p = 0.092), 3.8% (p = 0.478), and 8.7% (p = 0.464) respectively. These findings suggest that NOEMTR imaging provides enhanced tumor contrast, particularly at the infiltrative tumor margins, where conventional contrast enhanced T1-weighted MRI may underestimate tumor extent. Histological validation confirmed the presence of infiltrative tumor cells and macrophages in the tumor periphery, as highlighted by the NOEMTR difference map. Overall, NOEMTR imaging, in combination with Gd-DOTA administration, demonstrates superior delineation of brain tumor boundaries compared to conventional MRI. As NOEMTR imaging is a fast acquisition scan (under 10 minutes) and performed on standard 3 Tesla, it can be easily integrated into clinical protocols. By improving visualization of tumor infiltration and distinguishing tumor regions from NABR, NOEMTR imaging holds promise for advancing neuro-oncological diagnostics and treatment planning.

bioengineering↗

bioRxiv2025

Differential effect of supercoiling on bacterial transcription in topological domains

DNA supercoiling (SC), the over- and under-winding of DNA, is generated by transcription as described in the twin-domain model. Conversely, SC also impacts transcription through torsional stress. SC therefore regulates transcription independent of transcription factor binding, the classic protein-based transcription regulatory mechanism, particularly in the context of chromosomal topological domains and the actions of topoisomerases. SC-coupled transcription has inspired several computational models, but a systematic and quantitative assessment of the parameters controlling this complex interplay is missing. There is also a lack of comparison to various experimental results regarding the effects of topological variables such as topoisomerase binding rates and domain size on transcription strength and noise. In this work we developed a quantitative model to describe SC-coupled transcription. We analyzed the effects of topoisomerase activities on the transcription of a single isolated gene with varying promoter strengths and in a topological domain of varying sizes. These simulations revealed qualitatively different roles of the two topoisomerases. Topoisomerase I is specifically required for strongly expressed genes that may be hindered by stalled RNAP, whereas gyrase activity favors the expression of all genes by enhancing transcription initiation and modulating the burstiness of transcription. A new analysis of transcriptomics data in several bacterial species showed that these simulations replicate a global relationship between promoters strength and response to variations in topoisomerase activities. Our work demonstrates how SC contributes to differential gene regulation and transcriptional bursting in mechanistic details and unites computational and experimental work. Author SummaryWe are interested in understanding how bacteria regulate the expression of their genes. One mechanism by which bacteria can do so is through the over- and under-winding of their DNA, termed DNA supercoiling. Because bacteria can use enzymes called topoisomerases to regulate the supercoiling level of their DNA, these enzymes can serve as gene regulators. It is difficult, however, to understand how topoisomerases act as gene regulators through experiments alone. Currently, there is no method of measuring the supercoiling level along a stretch of DNA over an extended period of time in living cells. We therefore developed a computational model of gene transcription coupled to supercoiling dynamics. Unlike some previously existing models, we consider continuous response curves of topoisomerases activities in response to the local supercoiling level and the ability of gyrase to perform several catalytic cycles per binding event. We also perform extensive comparisons between our model and existing gene expression and transcriptomics data, which is essential to ensuring the biological relevance of computational modeling efforts. We replicate and provide detailed explanations for several experimental observations, including the connection between supercoiling and transcriptional bursts and the selective gene expression modulation by topoisomerase inhibition that is based on the promoter strength.

biophysics↗

bioRxiv2024

Proteomic profiling of the local and systemic immune response to pediatric respiratory viral infections

Viral lower respiratory tract infection (vLRTI) is a leading cause of hospitalization and death in children worldwide. Despite this, no studies have employed proteomics to characterize host immune responses to severe pediatric vLRTI in both the lower airway and systemic circulation. To address this gap, gain insights into vLRTI pathophysiology, and test a novel diagnostic approach, we assayed 1,305 proteins in tracheal aspirate (TA) and plasma from 62 critically ill children using SomaScan. We performed differential expression (DE) and pathway analyses comparing vLRTI (n=40) to controls with non-infectious acute respiratory failure (n=22), developed a diagnostic classifier using LASSO regression, and analyzed matched TA and plasma samples. We further investigated the impact of viral load and bacterial coinfection on the proteome. The TA signature of vLRTI was characterized by 200 DE proteins (Padj<0.05) with upregulation of interferons and T cell responses and downregulation of inflammation-modulating proteins including FABP and MIP-5. A nine-protein TA classifier achieved an AUC of 0.96 (95% CI 0.90-1.00) for identifying vLRTI. In plasma, the host response to vLRTI was more muted with 56 DE proteins. Correlation between TA and plasma was limited, although ISG15 was elevated in both compartments. In bacterial coinfection, we observed increases in the TNF-stimulated protein TSG-6, as well as CRP, and interferon-related proteins. Viral load correlated positively with interferon signaling and negatively with neutrophil-activation pathways. Taken together, our study provides fresh insight into the lower airway and systemic proteome of severe pediatric vLRTI, and identifies novel protein biomarkers with diagnostic potential. IMPORTANCEWe describe the first proteomic profiling of the lower airway and blood in critically ill children with severe viral lower respiratory tract infection (vLRTI). From tracheal aspirate (TA), we defined a proteomic signature of vLRTI characterized by increased expression of interferon signaling proteins and decreased expression of proteins involved in immune modulation including FABP and MIP-5. Using machine learning, we developed a parsimonious diagnostic classifier that distinguished vLRTI from non-infectious respiratory failure with high accuracy. Comparative analysis of paired TA and plasma specimens demonstrated limited concordance, although the interferon-stimulated protein ISG15 was significantly upregulated with vLRTI in both compartments. We further identified TSG-6 and CRP as airway biomarkers of bacterial-viral coinfection, and viral load analyses demonstrated positive correlation with interferon-related protein expression and negative correlation with the expression of neutrophil activation proteins. Taken together, our study provides new insight into the lower airway and systemic proteome of severe pediatric vLRTI.

immunology↗

bioRxiv2022

Human red blood cells express the RNA sensor TLR7 and bind viral RNA

Red blood cells (RBCs) express the nucleic acid-sensing toll-like receptor 9 (TLR9) and bind CpG-containing DNA. However, whether human RBCs express other nucleic acid-sensing TLRs and bind RNA is unknown. Here we show that human RBCs express the RNA sensor, TLR7. TLR7 is present on the red cell membrane and associates with the RBC membrane protein Band 3. RBCs bind synthetic single-stranded RNA and RNA from pathogenic single-stranded RNA viruses. RNA acquisition by RBCs is attenuated by recombinant TLR7 and inhibitory oligonucleotides. Thus, RBCs may represent a previously unrecognized reservoir for RNA, although how RNA-binding by RBCs modulates the immune response has yet to be elucidated. These findings add to the growing list of non-gas exchanging RBC immune functions. SignificanceRed blood cells interact with pathogens, cytokines, and CpG-containing DNA; however, their immune functions remain largely unexplored. Here, we report that RBCs can bind synthetic or viral RNA and express TLR7. TLR7 interacts with the RBC membrane protein Band 3 and this interaction is increased during acute infection with SARS-CoV-2. Our study suggests that RBCs may have immune functions mediated by viral RNA, and RNA-carrying RBCs can potentially be a reservoir for RNA-based diagnostics.

immunology↗

bioRxiv2021

A spatial stochastic model reveals the role of supercoiling in transcription regulation

In Escherichia coli, translocation of RNA polymerase (RNAP) during transcription introduces supercoiling to DNA, which influences the initiation and elongation behaviors of RNAP. To quantify the role of supercoiling in transcription regulation, we develop a spatially resolved supercoiling model of transcription, describing RNAP-supercoiling interactions, topoisomerase activities, stochastic topological domain formation, and supercoiling diffusion in all transcription stages. This model establishes that transcription-induced supercoiling mediates the cooperation of co-transcribing RNAP molecules in highly expressed genes. It reveals that supercoiling transmits RNAP-accessible information through DNA and enables different RNAP molecules to communicate within and between genes. It thus predicts that a topological domain could serve as a transcription regulator, generating substantial transcription bursting and coordinating communications between adjacent genes in the domain. The model provides a quantitative platform for further theoretical and experimental investigations of how genome organization impacts transcription. Author SummaryDNA mechanics and transcription dynamics are intimately coupled. During transcription, the translocation of RNA polymerase overwinds the DNA ahead and underwinds the DNA behind, rendering the DNA supercoiled. The supercoiled DNA could, in return, influences the behavior of the RNA polymerase, and consequently the amount of mRNA product it makes. Furthermore, supercoils could propagate on the DNA over thousands of base pairs, impacting RNA polymerase molecules at faraway sites. These complicated interplays between supercoiling and RNA polymerase makes supercoiling an important transcription regulator. To quantitatively investigate the role of supercoiling in transcription, we build a spatially resolved model that links transcription with the generation, propagation, and dissipation of supercoiling. Our model reveals that supercoiling mediates transcription at multiple length scales. At a single-gene scale, we show that supercoiling gives rise to the collective motion of co-transcribing RNA polymerase molecules, supporting recent experimental observations. Additionally, large variations in mRNA production of a gene can arise from the constraints of supercoiling diffusion in a topological domain. At a multi-gene scale, we show that supercoiling dynamics allow two adjacent genes influence each others transcription kinetics, thus serving as a transcription regulator.

biophysics↗