Spatially resolved multiomics: data analysis from monoomics to multiomics DOI Creative Commons
Changxiang Huan, Jinze Li, Yingxue Li

et al.

BME Frontiers, Journal Year: 2024, Volume and Issue: 6

Published: Jan. 13, 2024

Spatial monoomics has been recognized as a powerful tool for exploring life sciences. Recently, spatial multiomics advanced considerably, which could contribute to clarifying many biological issues. techniques in epigenomics, genomics, transcriptomics, proteomics, and metabolomics can enhance our understanding of functions cellular identities by simultaneously measuring tissue structures biomolecule levels. technology evolved from multiomics. Moreover, the resolution, high-throughput detection capability, capture efficiency, compatibility with various sample types omics have considerably advanced. Despite technological advances this field, data analysis frameworks stagnated. Current challenges include incomplete pipeline, overly complex tasks, few established strategies. In review, we systematically summarize recent developments improvements related pipeline. On basis technology, propose integration strategy cross-platform, cross-slice, cross-modality. We potential applications aiming provide researchers clinicians better how such is expected substantially impact biology precision medicine through measurements extraction biomolecular features.

Language: Английский

Exploring the molecular landscape of osteosarcoma through PTTG family genes using a detailed multi-level methodology DOI Creative Commons
Yulin Lu,

Danjun Wang,

Gengshuo Chen

et al.

Frontiers in Genetics, Journal Year: 2024, Volume and Issue: 15

Published: July 30, 2024

Osteosarcoma (OS) poses a significant clinical challenge, necessitating comprehensive exploration of its molecular underpinnings.

Language: Английский

Citations

2

Lactate and lactylation in gastrointestinal cancer: Current progress and perspectives (Review) DOI Creative Commons

Yufen He,

Yanbin Huang, Peng Peng

et al.

Oncology Reports, Journal Year: 2024, Volume and Issue: 53(1)

Published: Nov. 8, 2024

Gastrointestinal (GI) cancers, which have notable incidence and mortality, are impacted by metabolic reprogramming, especially the increased production accumulation of lactate. Lactylation, a post‑translational modification driven lactate, is crucial regulator gene expression cellular function in GI cancer. The present review aimed to examine advancements understanding lactate lactylation mechanisms production, its influence on tumor microenvironment clinical implications levels as potential biomarkers were explored. Furthermore, was investigated, including biochemical foundation, primary targets functional outcomes. underscored therapeutic strategies targeting metabolism lactylation. Challenges future directions emphasize innovative cancer improve

Language: Английский

Citations

0

Lactylation-related gene signature accurately predicts prognosis and immunotherapy response in gastric cancer DOI Creative Commons

Xuezeng Sun,

Haifeng Dong,

Rishun Su

et al.

Frontiers in Oncology, Journal Year: 2024, Volume and Issue: 14

Published: Nov. 28, 2024

Gastric cancer (GC) is a malignant tumor associated with significant rates of morbidity and mortality. Hence, developing efficient predictive models directing clinical interventions in GC crucial. Lactylation proteins detected gastric tumors linked to the advancement cancer.

Language: Английский

Citations

0

Integrating Bulk RNA and Single‐Cell RNA Sequencing Identifies and Validates Lactylation‐Related Signatures for Intervertebral Disc Degeneration DOI Creative Commons
Yangyang Shi, Fudong Li, Wenbo Lin

et al.

Journal of Cellular and Molecular Medicine, Journal Year: 2024, Volume and Issue: 28(23)

Published: Dec. 1, 2024

ABSTRACT Glycolysis‐related lactylation has gained wide attention for regulating various cellular functions and diseases. Nevertheless, its intricate involvement in intervertebral disc degeneration (IVDD) is not yet fully understood. In this study, we unrevealed the association between elevated levels development of IVDD. Subsequently, harvested lactylation‐related genes (LRGs) systematically analysed expression these to establish a gene signature related IVDD through multiple bulk RNA sequencing data. Six hub LRGs were determined closely associated with increased severity Among six genes, CBX3 was most upregulated both vivo vitro experiments. Furthermore, molecular docking identified atosiban acetate as specific inhibitor CBX3, inhibiting using significantly repressed glycolysis activity global level, thus alleviating progression conclusion, correlates positively LRG could be used biomarker effective clinical treatment emerged one key IVDD, acetate, may promising therapeutic candidate by affecting lactylation.

Language: Английский

Citations

0

Spatially resolved multiomics: data analysis from monoomics to multiomics DOI Creative Commons
Changxiang Huan, Jinze Li, Yingxue Li

et al.

BME Frontiers, Journal Year: 2024, Volume and Issue: 6

Published: Jan. 13, 2024

Spatial monoomics has been recognized as a powerful tool for exploring life sciences. Recently, spatial multiomics advanced considerably, which could contribute to clarifying many biological issues. techniques in epigenomics, genomics, transcriptomics, proteomics, and metabolomics can enhance our understanding of functions cellular identities by simultaneously measuring tissue structures biomolecule levels. technology evolved from multiomics. Moreover, the resolution, high-throughput detection capability, capture efficiency, compatibility with various sample types omics have considerably advanced. Despite technological advances this field, data analysis frameworks stagnated. Current challenges include incomplete pipeline, overly complex tasks, few established strategies. In review, we systematically summarize recent developments improvements related pipeline. On basis technology, propose integration strategy cross-platform, cross-slice, cross-modality. We potential applications aiming provide researchers clinicians better how such is expected substantially impact biology precision medicine through measurements extraction biomolecular features.

Language: Английский

Citations

0