Integrative Bioinformatics Tools for Cancer Research DOI
Marzia Settino, Mario Cannataro

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Transforming Clinical Research: The Power of High-Throughput Omics Integration DOI Creative Commons
Rui Vitorino

Proteomes, Journal Year: 2024, Volume and Issue: 12(3), P. 25 - 25

Published: Sept. 6, 2024

High-throughput omics technologies have dramatically changed biological research, providing unprecedented insights into the complexity of living systems. This review presents a comprehensive examination current landscape high-throughput pipelines, covering key technologies, data integration techniques and their diverse applications. It looks at advances in next-generation sequencing, mass spectrometry microarray platforms highlights contribution to volume precision. In addition, this critical role bioinformatics tools statistical methods managing large datasets generated by these technologies. By integrating multi-omics data, researchers can gain holistic understanding systems, leading identification new biomarkers therapeutic targets, particularly complex diseases such as cancer. The also electronic health records (EHRs) potential for cloud computing big analytics improve storage, analysis sharing. Despite significant advances, there are still challenges complexity, technical limitations ethical issues. Future directions include development more sophisticated computational application advanced machine learning techniques, which addressing heterogeneity datasets. aims serve valuable resource practitioners, highlighting transformative advancing personalized medicine improving clinical outcomes.

Language: Английский

Citations

14

The omics technologies and liquid biopsies: Advantages, limitations, applications DOI Creative Commons
Daniele Magro,

Marika Venezia,

Carmela Rita Balistreri

et al.

Medicine in Omics, Journal Year: 2024, Volume and Issue: 11, P. 100039 - 100039

Published: May 21, 2024

Over the last few years, development of so-called omics technologies has greatly contributed to discovery new biomarkers and targets, embracing various fields from diagnostics therapy contributing meliorate advance precision personalized medicine. In addition classic omics, including genomics, transcriptomics, proteomics, metabolomics, newer-generation their platforms, such as microbiomics nutrigenomics, are emerging. parallel, use liquid biopsies, optimal biological samples, consisting in fluids (i.e. blood, saliva, urine) easy collect, whose components (cells, nucleic acids, exosome) can be analysed using throughput techniques, is becoming an attractive, because enables extrapolation big data via multi-omics technologies. Here, we report a brief description discussion technologies, by evidencing applications eventual limitations.

Language: Английский

Citations

11

Integrative Approaches to Abiotic Stress Management in Crops: Combining Bioinformatics Educational Tools and Artificial Intelligence Applications DOI Open Access
Xin Zhang,

Zakir Ibrahim,

Muhammad Bilawal Khaskheli

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(17), P. 7651 - 7651

Published: Sept. 3, 2024

Abiotic stresses, including drought, salinity, extreme temperatures and nutrient deficiencies, pose significant challenges to crop production global food security. To combat these challenges, the integration of bioinformatics educational tools AI applications provide a synergistic approach identify analyze stress-responsive genes, regulatory networks molecular markers associated with stress tolerance. Bioinformatics offer robust framework for data collection, storage initial analysis, while enhance pattern recognition, predictive modeling real-time processing capabilities. This review uniquely integrates applications, highlighting their combined role in managing abiotic plants crops. The novelty is demonstrated by multiomics algorithms, providing deeper insights into response pathways, biomarker discovery recognition. Key include resistance gene network inference, omics plant monitoring through fusion remote sensing AI-assisted phenomics. Challenges such as handling big data, model interpretability, overfitting experimental validation remain there, but future prospects involve developing user-friendly platforms, establishing common standards, interdisciplinary collaboration harnessing mitigation strategies Educational initiatives, collaborations trainings are essential equip next generation researchers required skills utilize advanced effectively. convergence holds vast accelerating development stress-resilient crops, optimizing agricultural practices ensuring security under increasing environmental pressures. Moreover, this integrated crucial advancing sustainable agriculture amidst growing challenges.

Language: Английский

Citations

10

Advances in Understanding Biomarkers and Treating Neurological Diseases -Role of the Cerebellar Dysfunction and Emerging Therapies DOI
Azhagu Madhavan Sivalingam

Ageing Research Reviews, Journal Year: 2024, Volume and Issue: unknown, P. 102519 - 102519

Published: Sept. 1, 2024

Language: Английский

Citations

4

Mechanisms and technologies in cancer epigenetics DOI Creative Commons
Zaki A. Sherif, Olorunseun O. Ogunwobi, Habtom W. Ressom

et al.

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 14

Published: Jan. 7, 2025

Cancer's epigenetic landscape, a labyrinthine tapestry of molecular modifications, has long captivated researchers with its profound influence on gene expression and cellular fate. This review discusses the intricate mechanisms underlying cancer epigenetics, unraveling complex interplay between DNA methylation, histone chromatin remodeling, non-coding RNAs. We navigate through tumultuous seas dysregulation, exploring how these processes conspire to silence tumor suppressors unleash oncogenic potential. The narrative pivots cutting-edge technologies, revolutionizing our ability decode epigenome. From granular insights single-cell epigenomics holistic view offered by multi-omics approaches, we examine tools are reshaping understanding heterogeneity evolution. also highlights emerging techniques, such as spatial long-read sequencing, which promise unveil hidden dimensions regulation. Finally, probed transformative potential CRISPR-based epigenome editing computational analysis transmute raw data into biological insights. study seeks synthesize comprehensive yet nuanced contemporary landscape future directions research.

Language: Английский

Citations

0

Advancing drug discovery and development through GPT models: A review on challenges, innovations and future prospects DOI Creative Commons
Zhinya Kawa Othman, Mohamed Mustaf Ahmed, Olalekan John Okesanya

et al.

Intelligence-Based Medicine, Journal Year: 2025, Volume and Issue: 11, P. 100233 - 100233

Published: Jan. 1, 2025

Language: Английский

Citations

0

Revolutionizing multi‐omics analysis with artificial intelligence and data processing DOI Open Access
Ali Yetgin

Quantitative Biology, Journal Year: 2025, Volume and Issue: 13(3)

Published: April 7, 2025

Language: Английский

Citations

0

Integration of omics to explore novel disease pathways in Down syndrome neurodegeneration – focusing on integrated stress response DOI Creative Commons
Beatriz Barros-Santos, Carlos Campos‐Marques, Andreia F. Salvador

et al.

Brain Organoid and Systems Neuroscience Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0

Lipidomics-driven drug discovery and delivery strategies in glioblastoma DOI Creative Commons
Xiaohui Weng, Michael Gonzalez, Jeannes Angelia

et al.

Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal Year: 2024, Volume and Issue: 1871(3), P. 167637 - 167637

Published: Dec. 23, 2024

With few viable treatment options, glioblastoma (GBM) is still one of the most aggressive and deadly types brain cancer. Recent developments in lipidomics have demonstrated potential lipid metabolism as a therapeutic target GBM. The thorough examination lipids biological systems, or lipidomics, essential to comprehending changed profiles found GBM, which are linked tumor's ability grow, survive, resist treatment. use drug delivery discovery examined this study, focusing on how it may be used find new biomarkers, create multi-target directed ligands, improve systems. We also cover FDA-approved medications, clinical trials that lipid-targeted medicines, integration with other omics technologies. This study emphasizes possible tool developing more effective methods for GBM by exploring various lipid-centric techniques.

Language: Английский

Citations

1

Integrative Bioinformatics Tools for Cancer Research DOI
Marzia Settino, Mario Cannataro

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 1, 2024

Language: Английский

Citations

0