Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence DOI

Aakanksha Biswas,

Aditi Kumari,

D. S. Gaikwad

et al.

OMICS A Journal of Integrative Biology, Journal Year: 2023, Volume and Issue: 27(12), P. 550 - 569

Published: Dec. 1, 2023

With climate emergency, COVID-19, and the rise of planetary health scholarship, binary human ecosystem has been deeply challenged. The interdependence nonhuman animal is increasingly acknowledged paving way for new frontiers in integrative biology. convergence genomics health, bioinformatics, agriculture, artificial intelligence (AI) ushered a era possibilities applications. However, sheer volume genomic/multiomics big data generated also presents formidable sociotechnical challenges extracting meaningful biological, ecological insights. Over past few years, AI-guided bioinformatics emerged as powerful tool managing, analyzing, interpreting complex biological datasets. advances AI, particularly machine learning deep learning, have transforming fields genomics, agriculture. This article aims to unpack explore range that result from such transdisciplinary integration, emphasizes its radically transformative potential health. integration these disciplines driving significant advancements precision medicine personalized care. an unprecedented opportunity deepen our understanding systems advance well-being all life ecosystems. Notwithstanding mind sociotechnical, ethical, critical policy challenges, multiomics, agriculture with opens up vast opportunities transnational collaborative efforts, sharing, analysis, valorization, interdisciplinary innovations sciences

Language: Английский

Early Detection of Ovarian Cancer DOI
Naoko Sasamoto, Kevin M. Elias

Cold Spring Harbor Perspectives in Medicine, Journal Year: 2023, Volume and Issue: 13(11), P. a041337 - a041337

Published: Aug. 21, 2023

Naoko Sasamoto1 and Kevin M. Elias2 1Obstetrics Gynecology Epidemiology Center, Department of Obstetrics Gynecology, Brigham Women's Hospital Harvard Medical School, Boston, Massachusetts 02115, USA 2Division Gynecologic Oncology, Hospital, Dana-Farber Cancer Institute, Correspondence: kelias{at}bwh.harvard.edu

Language: Английский

Citations

13

Preclinical evaluation of a dual-receptor targeted tracer [68Ga]Ga-HX01 in 10 different subcutaneous and orthotopic tumor models DOI

Xiaoying Lv,

Xiangming Song,

Yu Long

et al.

European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2023, Volume and Issue: 51(1), P. 54 - 67

Published: Aug. 29, 2023

Language: Английский

Citations

13

Skin Cancer Metabolic Profile Assessed by Different Analytical Platforms DOI Open Access

Yousra A. Hagyousif,

Basma M. Sharaf, Ruba A. Zenati

et al.

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(2), P. 1604 - 1604

Published: Jan. 13, 2023

Skin cancer, including malignant melanoma (MM) and keratinocyte carcinoma (KC), historically named non-melanoma skin cancers (NMSC), represents the most common type of cancer among white population. Despite decades clinical research, incidence rate is increasing globally. Therefore, a better understanding disease pathogenesis resistance mechanisms considered vital to accomplish early diagnosis satisfactory control. The “Omics” field has recently gained attention, as it can help in identifying exploring metabolites metabolic pathways that assist cells proliferation, which be further utilized improve treatment cancer. Although tissues contain diverse enzymes, remains challenging fully characterize these metabolites. Metabolomics powerful omics technique allows us measure compare vast array biological sample. This technology enables study dermal effects get clear explanation diseases. purpose this literature review illustrate how metabolomics used evaluate profile human using variety analytical platforms gas chromatography-mass spectrometry (GC-MS), liquid (LC-MS), nuclear magnetic resonance (NMR). Data collection not been based on any method.

Language: Английский

Citations

12

N-linked glycosylation is essential for anti-tumor activities of KIAA1324 in gastric cancer DOI Creative Commons

Rebecca Yun,

Eunji Hong, Junil Kim

et al.

Cell Death and Disease, Journal Year: 2023, Volume and Issue: 14(8)

Published: Aug. 23, 2023

KIAA1324 is a transmembrane protein largely reported as tumor suppressor and favorable prognosis marker in various cancers, including gastric cancer. In this study, we report the role of N-linked glycosylation functional post-translational modification (PTM). Loss eliminated potential to suppress cancer cell proliferation migration. Furthermore, demonstrated that undergoes fucosylation, N-glycan mediated by fucosyltransferase, inhibition fucosylation also significantly suppressed KIAA1324-induced growth apoptosis cells. addition, KIAA1324-mediated regression were inhibited loss glycosylation. RNA sequencing (RNAseq) analysis revealed genes most relevant cycle arrest pathways modulated with glycosylation, Gene Regulatory Network (GRN) suggested novel targets for anti-tumor effects transcription level. The blockade decreased stability through rapid proteasomal degradation. non-glycosylated mutant showed altered localization lost apoptotic activity inhibits interaction between GRP78 caspase 7. These data demonstrate essential suppressive progression indicates may have targeting cancer-related conclusion, our study suggests PTM necessary factor consider therapy improvement.

Language: Английский

Citations

12

Revolutionizing Biological Science: The Synergy of Genomics in Health, Bioinformatics, Agriculture, and Artificial Intelligence DOI

Aakanksha Biswas,

Aditi Kumari,

D. S. Gaikwad

et al.

OMICS A Journal of Integrative Biology, Journal Year: 2023, Volume and Issue: 27(12), P. 550 - 569

Published: Dec. 1, 2023

With climate emergency, COVID-19, and the rise of planetary health scholarship, binary human ecosystem has been deeply challenged. The interdependence nonhuman animal is increasingly acknowledged paving way for new frontiers in integrative biology. convergence genomics health, bioinformatics, agriculture, artificial intelligence (AI) ushered a era possibilities applications. However, sheer volume genomic/multiomics big data generated also presents formidable sociotechnical challenges extracting meaningful biological, ecological insights. Over past few years, AI-guided bioinformatics emerged as powerful tool managing, analyzing, interpreting complex biological datasets. advances AI, particularly machine learning deep learning, have transforming fields genomics, agriculture. This article aims to unpack explore range that result from such transdisciplinary integration, emphasizes its radically transformative potential health. integration these disciplines driving significant advancements precision medicine personalized care. an unprecedented opportunity deepen our understanding systems advance well-being all life ecosystems. Notwithstanding mind sociotechnical, ethical, critical policy challenges, multiomics, agriculture with opens up vast opportunities transnational collaborative efforts, sharing, analysis, valorization, interdisciplinary innovations sciences

Language: Английский

Citations

11