Biology subjects

Ramadan, S.

Publications and source records attributed to Ramadan, S..

5 recordsLinked to original sources

bioRxiv2026

Noise-referenced multi-shell diffusion-weighted imaging for regional cerebrospinal fluid thermometry

We developed a multi-shell diffusion-weighted imaging approach for separate ventricular and subarachnoid cerebrospinal fluid thermometry. The approach uses measured image noise to assess agreement among temperature estimates. In 12 participants, temperature was estimated from four non-zero diffusion weightings. For each voxel, disagreement between these estimates was compared with that expected from image noise, accounting for their shared reference image. Voxels meeting this consistency criterion were retained for regional analysis. Mean diffusion-derived temperature ({+/-} SD) was 38.4 {+/-} 0.4 {degrees}C in the lateral ventricles and 36.0 {+/-} 1.1 {degrees}C in the subarachnoid space. Ventricular estimates were consistently higher than subarachnoid estimates across all participants, with a mean difference of 2.4 {+/-} 1.2 {degrees}C (95% confidence interval 1.6 -3.1 {degrees}C). This difference persisted under alternative noise models and temperature estimators. Subarachnoid estimates increased with retained voxel count; in a post hoc analysis of the six participants with the largest retained counts, ventricular estimates remained higher by 1.6 {+/-} 0.7 {degrees}C. Absolute temperature accuracy and the physiological origin of the regional difference require independent validation. This approach provides an internal consistency check for CSF thermometry and supports separate assessment of ventricular and subarachnoid temperatures.

neuroscience↗

bioRxiv2026

High-avidity TCR signaling induces a distinct KLR-positive exhaustion state in human tumor-infiltrating CD8 T cells associated with immunotherapy response

T cells adopt diverse states in human disease, with tumor-specific CD8 T cells serving as the quintessential example. These cells are critical for immunotherapy response, yet acquire hypofunctional states of exhaustion that impair treatment efficacy. While significant heterogeneity is observed among exhausted CD8 T cells (TEX), the mechanisms directing their unique phenotypes remain unresolved, limiting our efforts to augment TEX cell function. Here, we profile TEX cells in human head and neck squamous cell carcinoma (HNSCC) tumors and define a major mechanism regulating their cell state. With single-cell RNA and T cell receptor (TCR) sequencing of 106,667 tumor-infiltrating CD8 T cells, we define and validate three fundamental TEX subsets, each harboring dominant clonotypes: a progenitor subset (TPEX) and two intra-tumoral populations marked by intermediate (TEX-int) or high expression of inhibitory receptors, including killer cell lectin-like receptors, such as KLRC1/NKG2A (TEX-KLR). Using an in vitro model, we show that TCR avidity-dependent NFAT signaling governs an axis between the TEX-int and TEX-KLR states across human cancers, with high-avidity signaling driving the TEX-KLR state. Additionally, we uncover that interleukin-12 signaling selectively antagonizes high-avidity TEX-KLR-specific genes, despite broadly potentiating activation and cytotoxicity. Finally, we find that TEX-int and TEX-KLR cells are associated with anti-PD-1 response in HNSCC, with both of these cell types enriched near viable cancer cells following treatment. Together, these findings reveal that TCR avidity orchestrates tumor-infiltrating TEX cell states through NFAT signaling, a tunable axis that may be targeted to improve TEX cell function.

immunology↗

bioRxiv2024

Long-read sequencing to detect full-length protein-protein interactions

Given the increased predictions on interactome size and demand for protein function information, methods for detecting protein-protein interactions remain a significant development area. The all-vs.-all sequencing (AVA-Seq) method utilizes a convergent fusion plasmid design to make two-hybrid technology amenable to next-generation sequencing. Here, we further innovate to take advantage of synthetic DNA technologies and Oxford Nanopore Technologies long-read sequencing improvements to allow us to determine full-length protein-protein interactions. Here, using this approach we recovered 159 protein-protein interactions from a set of 57 human proteins using multiple forms of validation. Further, when referencing a human gold standard set of interactions, eight full-length protein-protein interactions were recovered from an expected 28 interaction pairs (28.6%), a typical recovery rate for two-hybrid technologies. The AVA-Seq, in combination with the ease of synthetic DNA production and the MinION platform, offers a low-cost, high-throughput alternative for determining protein-protein interactions, which can be utilized in research labs at all stages. 3 Key PointsO_LIFirst application of long-read sequencing for full-length protein-protein interaction studies. C_LIO_LIThe recovery rate of the AVA-Seq method using full-length proteins is on par with other leading methods. C_LIO_LIAdvances in synthetic biology and sequencing technologies make full-length protein interactomes affordable and accessible. C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=74 SRC="FIGDIR/small/586447v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@1d81412org.highwire.dtl.DTLVardef@10dbb19org.highwire.dtl.DTLVardef@76a04borg.highwire.dtl.DTLVardef@15baf0_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2021

High-resolution protein fragment interactions using AVA-Seq on a human reference set

Protein-protein interactions (PPIs) are important in understanding numerous aspects of protein function. Here, the recently developed all-vs-all sequencing (AVA-Seq) approach to determine protein-protein interactions was tested on a gold-standard human protein interaction set (hsPRS-v2). Initially, these data were interpreted strictly from a binary PPI perspective to compare AVA-Seq to other binary PPI methods tested on the same hsPRS-v2. AVA-Seq recovered 20 of 47 (43%) binary PPIs from this reference set comparing favorably with other methods. The same experimental data allowed for the determination of >500 known and novel PPIs including interactions between wildtype fragments of tumor protein p53 and minichromosomal maintenance complex proteins 2, and 5 (MCM2 and MCM5) that could be of interest in human disease. Additional results gave a better understanding of why interactions might be missed using AVA-Seq and aide future PPI experimental design for maximum recovery of information.

genomics↗

bioRxiv2018

High resolution protein-protein interaction mapping using all-versus-all sequencing (AVA-seq)

Two-hybrid systems test for protein-protein interactions and can provide important information for genes with unknown function. Despite their success, two-hybrid systems have remained mostly untouched by improvements from next-generation DNA sequencing. Here we present a method for all-versus-all protein interaction mapping (AVA-seq) that utilizes next-generation sequencing to remove multiple bottlenecks of the two-hybrid process. The method allows for high resolution protein-protein interaction mapping of a small set of proteins, or the potential for lower-resolution mapping of entire proteomes. Features of the system include open-reading frame selection to improve efficiency, high bacterial transformation efficiency, a convergent fusion vector to allow paired-end sequencing of interactors, and the use of protein fragments rather than full-length genes to better resolve specific protein contact points. We demonstrate the systems strengths and limitations on a set of proteins known to interact in humans and provide a framework for future large-scale projects.

genomics↗