Biology subjects

Reda, O.

Publications and source records attributed to Reda, O..

6 recordsLinked to original sources

bioRxiv2026

Canonical Analysis of Fluorescent Timer-Anchored Transcriptomes Resolves Joint Temporal and Developmental Progression

Cell-state transitions during development are shaped by multiple concurrent processes, yet single-cell transcriptomic analyses often rely on static molecular profiles or infer time without an experimental anchor. We developed mCanonicalTockySeq, a systems-level framework that reconstructs temporally resolved developmental state spaces by combining signalling history with single-cell RNA sequencing. Using the Nr4a3-Tocky Fluorescent Timer system in developing thymic T cells, we combined scRNA-seq with a molecular clock of strong T-cell receptor signalling to establish an experimentally anchored temporal reference. Using Timer-defined landmark populations, mCanonicalTockySeq constructs a shared state space in which temporal progression and developmental maturation are jointly represented, identifying a Tocky-defined temporal manifold while resolving progression toward CD4 and CD8 single-positive states. This framework recovered biologically coherent dynamics of immediate TCR-response genes, lineage-associated regulators, and agonist-selection-associated programmes. We then extended the framework across species by translating human thymic single-cell transcriptomes into one-to-one mouse ortholog space and projecting them into the mouse Nr4a3-Tocky reference. The projected human cells occupied an interpretable temporal-developmental geometry, and the inferred Tocky-equivalent temporal coordinate showed a significant donor-level association with chronological age. Together, these results establish mCanonicalTockySeq as a general framework for modelling how signalling history and developmental progression are jointly organised in single-cell state space, and illustrate how experimentally anchored reference systems can support comparative analyses across species.

systems biology↗

bioRxiv2026

Temporal Mechanisms of T-Cell Fate Decisions under Immune Checkpoint Blockade Resolved by CanonicalTockySeq

In cancer immunotherapy, T-cell functional states change dynamically, and no single marker or gene fully defines them. Static molecular profiles may therefore be insufficient to resolve these states. Capturing signalling history together with ongoing activity could provide a temporal framework for their dissection. Here, we developed CanonicalTockySeq, which integrates a molecular clock of T-cell receptor (TCR) signalling based on the Fluorescent Timer reporter Nr4a3-Tocky (Timer-of-cell-kinetics-and-activity) with scRNA-seq to establish an experimentally anchored temporal reference. Using landmark Tocky fractions as biological ground truths, CanonicalTockySeq constructs a transcriptomic manifold in canonical space with conical geometry. In a murine melanoma model treated with combination anti-PD-L1 and anti-CTLA-4, this framework separates temporal progression (geodesic angle) from signalling strength (radial intensity), enabling time-resolved analysis of gene-expression programmes at single-cell resolution. Application to scRNA-seq data from patients with melanoma further identifies distinct temporal programmes associated with clinical response. These analyses indicate that effective combination immunotherapy is associated with decreased persistence of antigen engagement, suppression of exhaustion-associated TCR signalling programmes, and maintenance of progenitor-like features linked to durable antitumour responses. Collectively, our findings identify temporal-state control as a key component of immunotherapy outcome and establish CanonicalTockySeq as a framework for resolving T-cell response states in vivo.

immunology↗

bioRxiv2024

Viral antigen mismatch affects antiviral T-cell response and may impair immunotherapeutic efficacy against ATL

Human T-cell leukemia virus type 1 (HTLV-1) has the potential to transform primary CD4+ T cells in vitro within a short time; however, the majority of infected individuals maintain an asymptomatic and disease-free condition, suggesting the existence of an equilibrium between the proliferation of infected cells and host immunity. The decline in anti-viral immunity contributes to the transformation of the infected cells, leading to the development of adult T-cell leukemia/lymphoma (ATL). This study identified a variation in a major viral antigen, HTLV-1 Tax, in human leukocyte antigen-A24 (HLA-A24) positive individuals. Two variants of Tax301-309 peptides, SFHNLHLLF (Tax301-309 A) and SFHSLHLLF (Tax301-309 B) were found to induce distinct T-cell immune responses in HLA-A24 positive individuals. There was a disparity between two Tax301-309 peptides in the detection of anti-Tax301-309 cytotoxic T-lymphocytes (CTLs) binding to A24/peptide multimers by flow cytometry analysis. More importantly, over half of the anti-Tax TCRs of anti-Tax CTLs from infected individuals did not recognize mismatched Tax301-309 peptides by Enzyme-Linked Immunospot (ELISpot) assay using Jurkat T cells expressing the anti-Tax301-309 specific TCR. These findings underscore the importance of matching the viral antigen epitope type in T-cell-based immunotherapy against ATL by using viral antigen Tax. Key pointsO_LIEpitope heterogeneity in the major viral antigen in HTLV-1 infection causes different T-cell responses in infected individuals. C_LIO_LIRecommended guideline; performing virus typing to obtain optimal efficacy in T-cell-mediated immunotherapy against the viral antigen Tax C_LI

immunology↗

bioRxiv2023

HIV-Tocky system to visualize proviral expression dynamics

The stably integrated pool of HIV-1 proviruses in the host genome stands against curative strategies. This reservoir is extremely heterogeneous with respect to host cell type, anatomical location, integration site, and replication fitness. During the initial phase of infection, only a few infected cells can resist host immune clearance or cytopathic effect and establish this resistant pool. The mechanisms underlying HIV latency initiation are not fully resolved yet. In the current study, we propose and validate a new reporter model for monitoring HIV-1 provirus silencing and reactivation using Timer of cell kinetics and activity (Tocky). HIV-Tocky system uses a fluorescent Timer protein whose emission spectrum spontaneously shifts from blue to red to reveal HIV-1 provirus dynamics. We dissected provirus transcriptional phases into early, persistent, recently silenced, and latent. To our knowledge, this is the first report to distinguish two latent subsets: a directly non-expressing population and a recently silenced after brief expression. In-depth integration site analysis suggested that the distribution of proviruses in directly latent cells was similar to that in actively transcribing cell population, whereas recently silenced cells tended to harbor proviruses integrated into heterochromatin. Furthermore, we established a library of various single integration clones at which we utilized to demonstrate the efficiency of the block-and-lock strategy by capturing the fast dynamics of silencing that were overlooked in previous models. In summary, we propose HIV-Tocky system to serve as a time-sensitive model that can capture the dynamics of provirus expression, making it a useful tool for HIV latency research. Significance StatementDeterminants of HIV-1 latency establishment are yet to be elucidated. This reservoir comprises a rare fraction of infected cells that can survive host and virus-mediated killing. In vitro reporter models so far offered a feasible means to inspect this population, but with limited capabilities to dissect provirus silencing dynamics. Here, we describe a new HIV reporter model (HIV-Tocky) with dual fluorescence spontaneous shifting to reveal provirus silencing and reactivation dynamics. This unique feature allowed; for the first time, identifying two latent populations: a directly latent, and a recently silenced subset, with the latter having integration features suggestive of stable latency. Our proposed model can help address the heterogeneous nature of HIV reservoirs and offers new possibilities for evaluating eradication strategies. ClassificationBiological Sciences, Microbiology.

microbiology↗

bioRxiv2022

Single-cell level temporal profiling of tumour-reactive T cells under immune checkpoint blockade

The blockade of the immune checkpoints PD-1 and CTLA-4 enhances T cell response. However, it is largely unknown how antigen-reactive T cells regulate their checkpoint expression in vivo and whether and how the checkpoint blockade can change activation dynamics of tumour-reactive T cells. To address this, here we used Nr4a3-Timer-of-cell-kinetics-and-activity (Tocky), which allows analysis of temporal changes of activated T cells following TCR signalling in vivo. By analysing melanoma-bearing Nr4a3 Tocky mice, we elucidate hidden dynamics of tumour-reactive T cells in the steady-state. Checkpoint blockade depleted highly activated effector Treg, while promoting unique effector T cell populations, and thus differentially modulating activation of tumour-reactive T cell populations. Furthermore, multidimensional analysis and seamless analysis of Tocky and scRNA-seq revealed a full spectrum of T cell dynamics in response to tumour burden and treatment with checkpoint blockade. Lastly, we propose a rational design of combinatorial therapy to further enhance T cell activities.

immunology↗

bioRxiv2021

Retrovirus-induced leukemia - hijack of T-cell activation mechanisms revealed by single-cell analysis

Human T-cell leukemia virus type 1 (HTLV-1) mainly infects CD4+ T-cells and induces chronic, persistent infection in infected individuals with some progressing to develop adult T-cell leukemia/lymphoma (ATL). Whilst HTLV-1 alters cellular differentiation, activation and survival, it is unknown whether and how these changes contribute to malignant transformation of infected T-cells. In this study, we used single-cell RNA-Seq and TCR-Seq to investigate T-cell differentiation and HTLV-1-mediated transformation processes. We analyzed 87,742 single cells from peripheral blood of 12 infected and 3 uninfected individuals. Using multiple independent bioinformatic methods, we demonstrated that naive T-cells dynamically change into activated T-cells including infected cells, which seamlessly transitioned into ATL cells characterized by clonally expanded, highly-activated T-cells. Notably, the more activated ATL cells are, the more they acquire Treg signatures. Intriguingly, HLA class II genes were uniquely induced in infected cells, further upregulated in ATL cells and was induced by viral protein Tax. Functional assays revealed that by upregulating HLA class II, HTLV-1-infected cells can act as tolerogenic antigen presenting cells (APCs) to induce anergy of antigen specific T-cells. In conclusion, our study revealed the in vivo mechanisms of HTLV-1-mediated transformation and immune escape at single-cell level. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/458291v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@38d0fdorg.highwire.dtl.DTLVardef@20cca0org.highwire.dtl.DTLVardef@15a55e2org.highwire.dtl.DTLVardef@1bca6ac_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗