Cancer is a heterogeneous disease with complex mechanisms that requires targeted precision medicine strategies. The growth of precision medicine is indispensable from the rapid development of genomics. However, genomics has certain limitations in molecular phenotype analysis, proteogenomics thus arose at the right time. Proteogenomics is the merging of proteomics and genomics. This review describes the limitations of genomic analysis and highlights the importance of proteogenomics to re-understand precision oncology from a proteogenomic perspective. In addition, the application of proteogenomics in precision oncology is briefly introduced, the related public data projects are described, and finally, the challenges that need to be addressed at this stage are proposed.
Humans ; Proteogenomics ; Precision Medicine ; Neoplasms/genetics* ; Proteomics ; Genomics

No abstract available.
Proteomics*

No abstract available.
Proteomics*

For more than past hundred years, Engels F. thought that the nature of life was protein. The human was decided by 2 factors, including genome and various influences of environment. The establishment of science of protein system (proteomics) is a break through of biology in 21st century.
Genomics ; Proteomics

Proteomics opened a complete new way in the medical and pharmaceutical sector. It helped detecting causes of unknown diseases, early diagnosing, contributing to optimal treatment of many diseases, and manufacturing new drugs as molecular mechanism. It is hoped that proteomics will be used to understand and treat cancer
Genomics ; Proteomics

In the 21st century, proteomics, a new science, appears in the biology. Proteomics studies the human protein, opens a new era of molecular pathology. The scientists suggest that the human being is determined by 2 factors: the genetic system or human genome and various influences of surrounding environment. From which, proteomics have been become the turning point of the biology at the beginning of 21st century.
Proteomics ; Biology

Chromatography is a basic process in the current proteomics workflow, and the retention time alignment of the chromatogram is one of the important steps to effectively improve the identification and quantification accuracy. After years of development, a series of algorithms for retention time alignment have been developed. This review summarizes the advances of chromatographic retention time alignment algorithms and tools for proteomics analysis from the perspective of proteomics users, and discusses the development and future application directions.
Algorithms ; Proteomics/methods*

With wide applications of genomics, transcriptomics, proteomics and metabolomics in the post-genome era, functional explanation has become the central task in life science research, and multi-omics data integrative analysis has become an indispensable strategy for uncovering the underlying biological mechanism. This special issue aimed to introduce the related research advances and applications in multi-omics by inviting the domestic experts. In total, 28 papers have been collected in this issue, for researcher's reference in multi-omics.
Genomics ; Proteomics ; Metabolomics ; Transcriptome

Humans ; Oral Medicine ; Proteomics

Genomics ; Proteomics ; Toxicology