Spatial metabolomics combined with transcriptomics to reveal heterogeneous metabolism and drug response in the heart of rats with heart failure DOI
Yue Xu, Lingzhi Wang, Liu Yang

et al.

Chinese Chemical Letters, Journal Year: 2025, Volume and Issue: unknown, P. 110958 - 110958

Published: Feb. 1, 2025

Language: Английский

CCDC71L as a novel prognostic marker and immunotherapy target via lipid metabolism in head and neck squamous cell carcinoma DOI

Yu Zhang,

Huifang Tang,

Minghui Zi

et al.

Journal of Stomatology Oral and Maxillofacial Surgery, Journal Year: 2024, Volume and Issue: 125(6), P. 101799 - 101799

Published: Feb. 16, 2024

Language: Английский

Citations

4

Progress of single-cell RNA sequencing combined with spatial transcriptomics in tumour microenvironment and treatment of pancreatic cancer DOI Creative Commons

Jie Zhu,

Ke Zhang, Chen Yuan

et al.

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: June 12, 2024

Abstract In recent years, single-cell analyses have revealed the heterogeneity of tumour microenvironment (TME) at genomic, transcriptomic, and proteomic levels, further improving our understanding mechanisms development. Single-cell RNA sequencing (scRNA-seq) technology allow analysis transcriptome level unprecedented potential for exploration characteristics involved in development progression. These techniques transcript sequences higher resolution, thereby increasing diversity cells found how these interact complex tissue. Although scRNA-seq has emerged as an important tool studying it cannot be used to analyse spatial information cells. this regard, transcriptomics (ST) approaches researchers understand functions individual multicellular organisms by their physical location tissue sections. particular, related research on heterogeneity, ST is excellent complementary approach scRNA-seq, constituting a new method can also provide insight into treatments pancreatic cancer (PC). review, based methods analyses, progress treatment explained.

Language: Английский

Citations

4

Non‐Genetic Biomarkers in Merkel Cell Carcinoma: Prognostic Implications and Predictive Utility for Response to Anti‐PD‐(L)1 Immune Checkpoint Inhibitors DOI Open Access
David L. Drum,

Anika G. Jallorina,

Leo Q. Wan

et al.

Experimental Dermatology, Journal Year: 2025, Volume and Issue: 34(1)

Published: Jan. 1, 2025

ABSTRACT Merkel cell carcinoma (MCC) is a skin cancer that arises due to either polyomavirus infection (MCPyV) or ultraviolet (UV) radiation exposure, presenting primarily in the head and neck region of fair‐skinned males. The recent success PD‐(L)1 immune checkpoint inhibitors (ICIs) locally advanced/metastatic MCC, with an objective response rate (ORR) around 50% improved survival, as first‐line treatment has moved ICIs forefront therapy for MCC generated interest identifying biomarkers predict clinical response. tumour microenvironment (TME) contains various components adaptive innate system. These can contribute escape through immunosuppression by preventing entrance other cells aiding cytotoxic clearance cells. We aim combine information from studies baseline on‐treatment monitoring TME help MCC. This review enhances understanding how CD8 T cells, γδ macrophages may impact predictions rates patients. are non‐genetic also be used determine prognosis treatment.

Language: Английский

Citations

0

An overview of single-cell omics, spatial omics, and omics integration in axon regeneration DOI
Michael Coronado, Emily Neag,

Nikhil Gandikota

et al.

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 425 - 437

Published: Jan. 1, 2025

Language: Английский

Citations

0

Spatial metabolomics combined with transcriptomics to reveal heterogeneous metabolism and drug response in the heart of rats with heart failure DOI
Yue Xu, Lingzhi Wang, Liu Yang

et al.

Chinese Chemical Letters, Journal Year: 2025, Volume and Issue: unknown, P. 110958 - 110958

Published: Feb. 1, 2025

Language: Английский

Citations

0