Browse Papers

Search the literature by keyword, topic, or author. Filter to articles with full text available.

2701 results

Full text 2026

Eigenlipids for exploring lipid biology

Sing N, Smith AAT, Dakic A, et al.

Lipidomics involves the analysis of hundreds or even thousands of lipids within biological systems. Many of these lipids are highly correlated due to similarities in structure or relationships within metabolic pathways. Eigenlipids, as a concept …

Read PDF
Bioinformatics Transcriptomics
Full text 2026

Deciphering Cancer Therapy-Induced Cardiotoxicity in the Era of Spatial and Multi-Omics from Systemic Mechanisms to <i>In Situ</i> Microenvironments

Gou C, Li Q, Xiong T, et al.

Cardio-oncology has emerged as a critical discipline addressing the cardiovascular sequelae of antineoplastic therapies. While traditional chemotherapy, targeted therapies, and immune checkpoint inhibitors (ICIs) have revolutionized cancer survival, they are frequently accompanied by cardiotoxicity ranging …

Read PDF
Transcriptomics
Full text 2026

Integrated Single-Cell and Spatial Transcriptomic Analysis Identifies Putative Metabolic Crosstalk Between <i>SPP1</i>+ TAMs and <i>SLC6A20</i>+ Epithelial Cells in Colorectal Cancer

Xue Y, Tang G, Li X, et al.

<b>Background</b>: Colorectal cancer (CRC) progression is associated with tumor metabolic reprogramming and an immunosuppressive tumor microenvironment, yet coordinated metabolic interactions between malignant epithelial and immune cells remain unclear. This study aimed to characterize metabolic crosstalk …

Read PDF
Transcriptomics
Full text 2026

ModelistsGCN: a multimodal graph convolutional network framework for single-cell spatial transcriptomic cell typing

Konforti N, Goldberg T, Danino-Levi M, et al.

Spatial transcriptomics technologies currently face a trade-off between spatial and molecular resolution. High-resolution single-cell methods such as MERFISH and Expansion Sequencing (ExSeq) resolve individual cells but typically profile limited gene panels, restricting the direct application …

Read PDF
Transcriptomics
Full text 2026

Dissecting the immunosuppressive microenvironment of LAMA3 + malignant cells and SPP1 + macrophages in esophageal squamous cell carcinoma using single-cell and spatial transcriptomics

Hong K, Pa C, Zhu Y, et al.

BACKGROUND: Esophageal squamous cell carcinoma (ESCC) exhibits pronounced tumor microenvironment (TME) heterogeneity, which contributes to tumor invasion, immune evasion, and resistance to therapy. However, the cellular and spatial mechanisms driving this heterogeneity remain incompletely understood. …

Read PDF
Transcriptomics
Full text 2026

Advances in Spatial Transcriptomics in Bone

Giger NV, Wehrle E.

<h4>Purpose of review</h4>Spatial transcriptomics enables to capture the whole transcriptome within the local microenvironment in bone. Within this review, we provide an overview of recent spatial transcriptomics applications and indicate its potential for advancing basic …

Read PDF
Transcriptomics
Full text 2026

Understanding heterogeneity in the pathogenesis and drug responses of ulcerative colitis through single-cell and spatial transcriptomics

Phillips J, Tambakis G, Kumar R, et al.

<h4>Introduction</h4>Ulcerative colitis (UC) is driven by mucosal inflammation and epithelial injury. Single cell RNA sequencing (scRNA-seq) enables high resolution profiling of immune, stromal and epithelial compartments in UC, whilst spatial transcriptomic (ST) and proteomic (SP) …

Read PDF
Single-Cell Transcriptomics
Full text 2026

GALA: a unified landmark-free framework for coarse-to-fine spatial alignment across resolutions and modalities in spatial transcriptomics

Ding T, Zeng P.

Spatial transcriptomics alignment is challenged by technical variations, including geometric distortions from tissue preparation and platform-driven differences in resolution and modality. These issues create diverse alignment scenarios, from matched and mismatched resolutions to cross-modality integration, …

Read PDF
Bioinformatics Transcriptomics
Full text 2026

SpaNiche: spatial niche analysis to explore colocalization patterns and cellular interactions in spatial transcriptomics data

Huang S, Ran Q, Tang J, et al.

We propose a computational framework for spatial niche analysis (SpaNiche) in spatial transcriptomics data to uncover colocalization patterns and infer potential ligand-receptor interactions. SpaNiche leverages graph-regularized joint non-negative matrix factorization to integrate information from cell …

Read PDF
Transcriptomics