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10021 results

Full text 2025

Multi-dimensional omics integrated machine learning framework identifies macrophage-fibroblast-tumor co-infiltration patterns to predict prognosis in gastric cancer

Wang Q, Ni Y, Lu S, et al.

Gastric cancer (GC), of which cases with peritoneal metastasis are particularly challenging, retains its position of being highly complex and remarkably resistant to therapy. Understanding the spatial heterogeneity and leveraging recent technologies such as machine …

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Transcriptomics
Full text 2026

Spatial multi-omics mapping of tumor microanatomy dynamics following radiotherapy combined with targeted-immunotherapy in hepatocellular carcinoma

Ji F, Xia H, Xiao Y, et al.

Remodeling of the tumor microenvironment (TME) under therapeutic pressure is a critical determinant of treatment response and resistance in hepatocellular carcinoma (HCC). Triple-combination therapy integrating targeted agents, immune checkpoint inhibitors, and radiotherapy (T+I+R) has shown …

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Single-Cell Transcriptomics
Full text 2026

Multi-omics profiling of sodium-overload (NECSO) programs identifies NEK8 as a central driver of colorectal cancer progression through single-cell and spatial transcriptomics

Ji Y, Yu B, Yin X, et al.

<h4>Background</h4>Colorectal cancer (CRC) is a leading cause of cancer-related death, often marked by intratumoral heterogeneity, immune evasion, and therapeutic resistance. Recent advancements in single-cell and spatial transcriptomics have enabled a deeper understanding of the tumor …

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Single-Cell Transcriptomics
Full text 2026

Integrated spatial and single-cell transcriptomics reveals RPL8 as a prognostic biomarker and therapeutic target in hepatocellular carcinoma

Tan J, Liang J, Li Y, et al.

<h4>Background & aims</h4>Ribosomal protein L8 (RPL8) is up-regulated in hepatocellular carcinoma (HCC), yet its clinical value and microenvironment role remain unclear.<h4>Methods</h4>Multi-omics (TCGA, CPTAC), scRNA-seq (GSE146115) and spatial transcriptomics were integrated; function was tested by RPL8 …

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Single-Cell
Full text 2026

Single-cell Profiling Reveals Cooperative Participation of &lt;i&gt;SPP1&lt;sup&gt;+&lt;/sup&gt;&lt;/i&gt; Myeloid and &lt;i&gt;POSTN&lt;sup&gt;+&lt;/sup&gt;&lt;/i&gt; Fibroblast Subsets in Inflammation and Remodeling in Thoracic Aortic Aneurysm

Ju Y, Yao J, Zhang S, et al.

Thoracic aortic aneurysm (TAA) is a life-threatening condition characterized by aortic dilation, inflammation, and extracellular matrix degradation. Despite advances in surgical management, effective pharmacological therapies are still lacking, largely due to an incomplete understanding of …

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Transcriptomics
Full text 2026

Human multi-tissue transcriptomics identifies galectin-1 and follistatin-like 1 as exerkines with distinct transcript-to-serum coupling after exercise

Song J, Cho ES, Kwon YR, et al.

Exercise-induced secreted factors (exerkines) are proposed to coordinate systemic health benefits, yet their human tissue sources and the physiological rules governing transcript-to-serum coupling remain incompletely defined. We integrated multi-tissue transcriptomics with matched serial serum profiling …

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Transcriptomics
Full text 2026

Non-destructive transcriptomics via vesicular export

Armbrust N, Grosshauser M, Geilenkeuser J, et al.

Transcriptomics enables comprehensive, multiplexed characterization of cellular states, yet prevailing methods typically require cell fixation or lysis, precluding longitudinal analysis of RNA expression in living cells. Here, we present non-destructive transcriptomics by vesicular export (NTVE), …

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Transcriptomics
Full text 2026

Differential expression analysis for spatially correlated data using smiDE

Vasconcelos AG, McGuire D, Simon N, et al.

Differential expression is a key application of imaging spatial transcriptomics, moving analysis beyond cell type localization to examining cell state responses to microenvironments. However, spatial data poses new challenges to differential expression: segmentation errors cause …

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Transcriptomics
Full text 2026

Prognostic genes in hepatocellular carcinoma and their function: an analysis integrating high-throughput-based spatial transcriptomics and single-cell RNA-sequencing

Zhang Y, Yao Y, Yan Z, et al.

<h4>Background</h4>Identifying novel prognostic indicators for patients with hepatocellular carcinoma (HCC) is critical to improving patient outcomes. Mapping the spatial composition of HCC tumors remains challenging. Therefore, this study aimed to identify prognostic genes and assess …

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Transcriptomics
Full text 2026

Single-cell transcriptomics reveals hair growth retardation mediated by aberrant connective tissue sheath contraction in male androgenetic alopecia

Li G, Yang L, Duan S, et al.

Androgenetic alopecia (AGA) manifests as progressive hair follicle (HF) miniaturization; however, its drivers remain poorly elucidated. Combining spatial and single-cell transcriptomics, we generate a concise single-cell atlas of anagen HFs in male AGA, revealing early …

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Single-Cell Transcriptomics
Full text 2026

CBX3:IL1RN Reflects Distinct Cellular States That Defines the Clinical Outcome of Oral Squamous Cell Carcinoma

Tian X, Mao J, Li D, et al.

<h4>Background</h4>Oral squamous cell carcinoma (OSCC) exhibits heterogeneous therapeutic outcomes owing to various tumor microenvironments (TMEs). Previous studies have classified OSCC according to its molecular characteristics; however, clinical practice is limited by technical complexity.<h4>Methods</h4>A total of …

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Bioinformatics Single-Cell Transcriptomics