Chi, W. Y. | bioRxiv Science

bioRxiv2026

Computational Pathology and Spatial Microdosimetry Guide Radiopharmaceutical Selection for TROP2-Targeted Alpha versus Beta Radionuclide Drug Conjugates (RDCs)

Background: Trophoblast cell surface antigen 2 (TROP2, encoded by TACSTD2) is a transmembrane glycoprotein overexpressed in multiple aggressive epithelial carcinomas. While antibody drug conjugates targeting TROP2 have achieved regulatory approvals, acquired payload resistance and systemic off-target toxicities limit sustained remissions. Radionuclide Drug Conjugates (RDCs) represent a potent alternative modality capable of delivering cytotoxic ionizing radiation directly to target cells. However, selecting the optimal therapeutic radioisotope between long-range beta emitters (177Lu) and short-range, high linear energy transfer (LET) alpha emitters (225Ac) under heterogeneous TROP2 spatial distributions remains an unaddressed clinical challenge. Methods: We developed an automated computational pathology and spatial microdosimetry pipeline to resolve microscopic TROP2 expression gradients and simulate absorbed radiation dose distributions from digitized whole-tissue immunohistochemistry (IHC) sections (N = 14). Optical density matrices were de-convoluted in Hematoxylin-Eosin-DAB (HED) color space to isolate the DAB chromogen. Continuous 2D spatial density distributions and topological surface profiles were reconstructed. Physical radiation energy deposition was modeled using radial dose point kernels for 177Lu (mean range ~670 m, LET 0.2 keV/m) and 225Ac (mean range ~65 m, LET 100 keV/m, 4 alpha particles per decay cascade). Therapeutic Index (TI, ratio of mean target to non-target absorbed dose), target coverage, and spatial specificity were quantified across all specimens. Results: Quantitative image deconvolution revealed that TROP2 expression across the cohort was characteristically focal and clustered, with a mean positive area fraction of 1.55 +/- 2.22% (range: 0.08% to 6.85%) and mean DAB signal intensity of 0.256 +/- 0.043. In all 14 evaluated specimens (100%), 225Ac-labeled RDCs demonstrated superior tumor-to-stroma dose localization compared to 177Lu-labeled RDCs. The cohort-wide mean Therapeutic Index was significantly higher for 225Ac (1.26 +/- 0.14) than for 177Lu (1.01 +/- 0.02, p < 0.0001, paired two-tailed t-test). Because the path length of 177Lu beta particles exceeded target cell nest dimensions by up to 30-fold, 177Lu suffered from severe off-target crossfire spillover into antigen-negative stroma. In contrast, 225Ac confined high-LET ionization tracks strictly within the micro-geographic boundaries of TROP2-expressing clusters. Conclusions: In tumors displaying focal or sparse TROP2 micro-architecture, Targeted Alpha Therapy with 225Ac-RDCs offers a superior biophysical profile over beta-emitting 177Lu-RDCs, maximizing cluster cell kill while sparing adjacent normal tissue stroma. This computational microdosimetry framework provides a practical tool to guide rational isotope pairing in RDC drug design.

cancer biology↗

bioRxiv2025

Single-cell mapping of regulatory DNA:Protein interactions

Gene expression is coordinated by a multitude of transcription factors (TFs), whose binding to the genome is directed through multiple interconnected epigenetic signals, including chromatin accessibility and histone modifications. These complex networks have been shown to be disrupted during aging, disease, and cancer. However, profiling these networks across diverse cell types and states has been limited due to the technical constraints of existing methods for mapping DNA:Protein interactions in single cells. As a result, a critical gap remains in understanding where TFs or other chromatin remodelers bind to DNA and how these interactions are perturbed in pathological contexts. To address this challenge, we developed a transformative single-cell immuno-tethering DNA:Protein mapping technology. By coupling a species-specific antibody-binding nanobody to a cytosine base editing enzyme, this approach enables profiling of even weak or transient factor binding to DNA, a task that was previously unachievable in single cells. Thus, our Docking & Deamination followed by sequencing (D&D-seq) technique induces cytosine-to-uracil edits in genomic regions bound by the target protein, offering a novel means to capture DNA:Protein interactions with unprecedented resolution. Importantly, this technique can be seamlessly incorporated into common single-cell multiomics workflows, enabling multimodal analysis of gene regulation in single cells. We tested the ability of D&D-seq to record TF binding both in bulk and at the single-cell level by profiling CTCF and GATA family members, obtaining high specificity and efficiency, with clear identification of TF footprint and signal retention in the targeted cell subpopulations. Furthermore, the deamination reaction showed minimal off-target activity, with high concordance to bulk ChIP-seq reference data. Applied to primary human peripheral blood mononuclear cells (PBMCs), D&D-seq successfully identified CTCF binding sites and enabled integration with advanced machine-learning algorithms for predicting 3D chromatin structure. Furthermore, we integrated D&D-seq with single-cell genotyping to assess the impact of IDH2 mutations on CTCF binding in a human clonal hematopoiesis sample, uncovering altered binding and chromatin co-accessibility patterns in mutant cells. Altogether, D&D-seq represents an important technological advance enabling the direct mapping of TF or chromatin remodeler binding to the DNA in primary human samples, opening new avenues for understanding chromatin and transcriptional regulation in health and disease.

genomics↗