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Comprehensive PortrAIgent Visium Analysis
This six-part series demonstrates an end-to-end spatial transcriptomics workflow using the PortrAIgent platform to analyze TNBC and ER+ breast cancer tissues by integrating Visium data with a…
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Spatial transcriptomics uncovers pharmacokinetic barriers and tumor-intrinsic determinants of resistance to trastuzumab deruxtecan in breast cancer
Trastuzumab deruxtecan (T-DXd) is an antibody-drug conjugate (ADC) that is effective for both HER2-positive and HER2-low metastatic breast cancers (MBC). While correlation between HER2 expression...
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A transcript-only framework for pseudocell boundary inference in high-resolution spatial transcriptomics
High-resolution spatial transcriptomics (ST) enables subcellular expression profiling, yet cell-level analysis remains critical for understanding tissue organization. Current cell segmentation meth...
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A scalable workflow for in silico TMA construction and groupwise comparison of spatial transcriptomic data for analyzing tumor microenvironment
Spatial transcriptomics provides high-resolution characterization of the tumor microenvironment (TME), offering insights into cellular architecture, spatial interactions, and molecular heterogeneit...
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Decoding ADC payload dynamics with a spatial transcriptomics-integrated tumor microenvironment PK model
The inherent heterogeneity of the tumor microenvironment (TME) complicates the prediction of antibody-drug conjugate (ADC) payload delivery and the mechanism of resistance. The advent of spatial tr...
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Spatial Transcriptomics reveals core resistance niches distinguishing non-MPR from MPR in NSCLC after neoadjuvant chemoimmunotherapy
Neoadjuvant chemoimmunotherapy (nCIT) is increasingly used in NSCLC. Major pathologic response (MPR) is a robust prognostic marker, yet bulk or single-cell assessments of residual tumor do not capt...
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VGL: Vision-Gene-Language multimodal LLM integrating histopathology and gene expression for cell type classification in lung cancer
Understanding the tumor microenvironment requires models that resolve cellular heterogeneity across molecular and spatial modalities. With the expansion of spatial transcriptomics, single-cell RNA....
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Ontology-guided hierarchical cell typing with large language models for analyzing tumor microenvironment
Due to the emergence of a vast amount of single-cell RNA sequencing (scRNA-seq) and single-cell resolution spatial transcriptomics (ST), there has been a demand for cell type annotation pipelines...
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Spatial trajectories and niche rewiring from ground-glass to solid transition in lung adenocarcinoma
Ground-glass nodules (GGNs) are frequently detected by screening, yet how they acquire invasion in situ is unclear. We asked how epithelial states, stromal architecture, and immune circuits reorgan...
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Portrai's Authors
Capturing and compounding Portrai's insights.
Daeseung Lee
CEO
Physician-scientist who left clinical practice to bring spatial biology into oncology drug discovery
Hongyoon Choi
CTO
Builds the algorithms that turn spatial transcriptomics into actionable target intelligence
Hyung-Jun Im
CSO
Nuclear medicine specialist linking imaging biomarkers to next-generation radiopharmaceuticals
Kwonjoong Na
CMO
Translates platform insights into IND-enabling decisions across oncology programs
Portrai
Official posts from the Portrai team, decoding disease with spatial intelligence