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2701 results

Full text 2026

Spatial Transcriptomics Reveals Location-Specific Tumor Cell Subtypes and Signaling within Multifocal Small Intestinal Neuroendocrine Tumors

Yogo A, Akanuma N, Kim GE, et al.

<h4>Purpose</h4>Small intestinal neuroendocrine tumors (SI-NET) frequently present as multifocal lesions, but the molecular mechanisms underlying their development and heterogeneity remain unclear. This study aimed to characterize the phenotypes of tumor cell populations across anatomic sites …

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Transcriptomics
Full text 2026

Advances in predicting omics profiles from imaging data

Beachum AH, Xiao X, Zhou Y, et al.

While traditional imaging techniques, such as histopathology, are often part of clinical workflows, molecular profiling remains more difficult to conduct and is less cost-effective. Thus, the prediction of molecular 'omics' data directly from imaging has …

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Single-Cell Transcriptomics
Full text 2026

Investigating the role of the TGF-β-SLC20A1 axis in the spatial heterogeneity of hepatocellular carcinoma through single-cell and spatial transcriptomics

Li J, An J, Jiang S, et al.

<h4>Background</h4>Hepatocellular carcinoma (HCC) is a highly heterogeneous malignancy characterized by marked cellular and spatial diversity within the tumor microenvironment (TME). The transforming growth factor-β (TGF-β) signaling pathway plays a dual role in the initiation and …

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Transcriptomics
Full text 2026

Prediction of clinical outcomes of advanced cutaneous squamous cell carcinoma to PD-1 inhibition directly from histopathology slides using inferred transcriptomics

Chayen B, Dinstag G, Tirosh O, et al.

<h4>Introduction</h4>Metastatic or locally advanced cutaneous squamous cell carcinoma (cSCC) that is not amenable to local therapy is treated with programmed death-1 (PD-1) inhibitors. Although response rates are relatively high, there are no validated predictive biomarkers …

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Bioinformatics Transcriptomics
Full text 2026

STORM: spatial transcriptomics optimization by resolution via matrix factorization

Gurarslan D, Camargo O, Zeyveli O, et al.

Classic RNA sequencing dissociates cells from their native tissue architecture, discarding spatial information that critically shapes transcriptional programs in development, homeostasis, and cancer. However, current ST platforms often produce incomplete and noisy profiles due to …

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Transcriptomics