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With the flourishing of spatial omics technologies, alignment and stitching of slices becomes indispensable to decipher a holistic view of 3D molecular profile. However, existing alignment and stitching methods are unpractical to process large-scale and image-based spatial omics dataset due to extreme time consumption and unsatisfactory accuracy. Here we propose SANTO, a coarse-to-fine method targeting alignment and stitching tasks for spatial omics. SANTO firstly rapidly supplies reasonable spatial positions of two slices and identifies the overlap region. Then, SANTO refines the positions of two slices by considering spatial and omics patterns. Comprehensive experiments demonstrate the superior performance of SANTO over existing methods. Specifically, SANTO stitches cross-platform slices for breast cancer samples, enabling integration of complementary features to synergistically explore tumor microenvironment. SANTO is then applied to 3D-to-3D spatiotemporal alignment to study development of mouse embryo. Furthermore, SANTO enables cross-modality alignment of spatial transcriptomic and epigenomic data to understand complementary interactions.
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http://dx.doi.org/10.1038/s41467-024-50308-x | DOI Listing |
Bioinformatics
September 2025
Department of Mathematical Sciences, The University of Texas at Dallas, TX United States.
Motivation: The advent of next-generation sequencing-based spatially resolved transcriptomics (SRT) techniques has reshaped genomic studies by enabling high-throughput gene expression profiling while preserving spatial and morphological context. Understanding gene functions and interactions in different spatial domains is crucial, as it can enhance our comprehension of biological mechanisms, such as cancer-immune interactions and cell differentiation in various regions. It is necessary to cluster tissue regions into distinct spatial domains and identify discriminating genes that elucidate the clustering result, referred to as spatial domain-specific discriminating genes (DGs).
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
OmnibusXLab, OmnibusX Company Limited, Ho Chi Minh City, Vietnam.
OmnibusX is an integrated, privacy-centric platform that enables code-free multi-omics data analysis by bridging computational methodologies with user-friendly interfaces. Designed to overcome challenges posed by fragmented analytical tools and high computational barriers, OmnibusX consolidates workflows for diverse technologies - including bulk RNA-seq, single-cell RNA-seq, single-cell ATAC-seq, and spatial transcriptomics - into a single, cohesive application. The application integrates established open-source tools such as Scanpy, DESeq2, SciPy, and scikit-learn into transparent, reproducible pipelines, offering users control over analytical parameters.
View Article and Find Full Text PDFOncol Res
September 2025
Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Studies have reported the special value of PANoptosis in cancer, but there is no study on the prognostic and therapeutic effects of PANoptosis in bladder cancer (BLCA). This study aimed to explore the role of PANoptosis in BLCA heterogeneity and its impact on clinical outcomes and immunotherapy response while establishing a robust prognostic model based on PANoptosis-related features. Gene expression profiles and clinical data were collected from public databases.
View Article and Find Full Text PDFNanoscale
September 2025
Department of Bioengineering & Nano-Bioengineering, Research Center for Bio Materials and Process Development, Incheon National University, Incheon 22012, Republic of Korea.
Rolling circle amplification (RCA) has emerged as a highly versatile and robust isothermal amplification technology, offering exceptional sensitivity, specificity, and scalability for next-generation molecular diagnostics and multi-omics research. Its ability to generate long, repetitive DNA sequences with high fidelity has made it a pivotal tool in disease diagnostics, genomic analysis, and spatial transcriptome profiling. Recent advancements have expanded RCA into various formats, including solution-phase, solid-phase, hydrogel-based, and digital RCA, enhancing its analytical performance and adaptability across diverse biological applications.
View Article and Find Full Text PDFCurr Opin Rheumatol
September 2025
Division of Rheumatology, Department of Internal Medicine.
Purpose Of Review: This review explores the evolving understanding of vascular dysfunction in systemic sclerosis (SSc), from early endothelial injury to clinical manifestations and emerging therapeutic strategies.
Recent Findings: Endothelial cell (EC) injury, senescence, and endothelial-to-mesenchymal transition are central to SSc vasculopathy. Single-cell and spatial omics have revealed distinct EC subtypes and dysregulated pathways, including interferon signaling and chromatin remodeling.