Advances in multi-omics datasets and analytical methods have revolutionized cancer research,offering a comprehensive,pan-cancer perspective.Pancancer studies identify shared mechanisms and unique traits across differe...Advances in multi-omics datasets and analytical methods have revolutionized cancer research,offering a comprehensive,pan-cancer perspective.Pancancer studies identify shared mechanisms and unique traits across different cancer types,which are reshaping diagnostic and treatment strategies.However,continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine.This review summarized key findings from pan-cancer research and explored their potential to drive future advancements in oncology。展开更多
The coronavirus disease 2019(COVID-19)pandemic had a devastating impact on human society.Beginning with genome surveillance of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the development of omics techn...The coronavirus disease 2019(COVID-19)pandemic had a devastating impact on human society.Beginning with genome surveillance of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the development of omics technologies brought a clearer understanding of the complex SARS-CoV-2 and COVID-19.Here,we reviewed how omics,including genomics,proteomics,single-cell multi-omics,and clinical phenomics,play roles in answering biological and clinical questions about COVID-19.Large-scale sequencing and advanced analysis methods facilitate COVID-19 discovery from virus evolution and severity risk prediction to potential treatment identification.Omics would indicate precise and globalized prevention and medicine for the COVID-19 pandemic under the utilization of big data capability and phenotypes refinement.Furthermore,decoding the evolution rule of SARS-CoV-2 by deep learning models is promising to forecast new variants and achieve more precise data to predict future pandemics and prevent them on time.展开更多
基金supported by the Self-supporting Program of Guangzhou Laboratory(SRPG22007)the CAS Research Fund(XDB38050200)+1 种基金the National Key Research and Development Program of China(2021YFA0910100)Healthy Zhejiang One Million People Cohort(K-20230085).
文摘Advances in multi-omics datasets and analytical methods have revolutionized cancer research,offering a comprehensive,pan-cancer perspective.Pancancer studies identify shared mechanisms and unique traits across different cancer types,which are reshaping diagnostic and treatment strategies.However,continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine.This review summarized key findings from pan-cancer research and explored their potential to drive future advancements in oncology。
基金We thank Professor S.Y.Liu for her revision suggestions for the article’s first draft.We acknowledge support from the CAS Research Fund,Grant No.XDB38050200the Self-supporting Program of Guangzhou Laboratory,Grant No.SRPG22-001 and SRPG22-007.
文摘The coronavirus disease 2019(COVID-19)pandemic had a devastating impact on human society.Beginning with genome surveillance of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),the development of omics technologies brought a clearer understanding of the complex SARS-CoV-2 and COVID-19.Here,we reviewed how omics,including genomics,proteomics,single-cell multi-omics,and clinical phenomics,play roles in answering biological and clinical questions about COVID-19.Large-scale sequencing and advanced analysis methods facilitate COVID-19 discovery from virus evolution and severity risk prediction to potential treatment identification.Omics would indicate precise and globalized prevention and medicine for the COVID-19 pandemic under the utilization of big data capability and phenotypes refinement.Furthermore,decoding the evolution rule of SARS-CoV-2 by deep learning models is promising to forecast new variants and achieve more precise data to predict future pandemics and prevent them on time.
