Peptidomics is the comprehensive profiling of endogenous peptides from the biological sources. As with genome, transcriptome, proteome and metabolome, the peptidome is directly related with individuals’ physiological state at the peptide level, which can be one of the most promising sources of pathophysiological information. Thus a comprehensive understanding of peptidome is very meaningful for clinical applications. However, low-abundance endogenous peptides present in highly complex biological environments with large heterogeneity in sizes and charges, making peptidome studies challenging. In order to clarify the peptidome in biological samples, numerous technologies and analytical methods in peptidomics have been developed which greatly promote the subject going forward. In this review, recent advances on technologies and methods developed for peptidome research are summarized with emphasis on the ingeniously designed adsorbents for peptide extract, MS technologies for peptide characterization, and data mining for function elucidation. Existing challenges and future perspectives in peptidomics are discussed.

肽组学是对生物来源的内源性肽的全面分析。与基因组，转录组，蛋白质组和代谢组一样，肽组在肽水平上与个体的生理状态直接相关，这可能是病理生理信息最有希望的来源之一。因此，对肽组的全面了解对于临床应用非常有意义。然而，低丰度内源肽存在于高度复杂的生物环境中，大小和电荷具有很大的异质性，这使得肽组研究具有挑战性。为了阐明生物样品中的肽组，已经开发了多种肽组学技术和分析方法，这些技术和分析方法极大地促进了该主题的发展。在这篇评论中 总结了为肽组研究而开发的技术和方法的最新进展，重点是精心设计的用于肽提取物的吸附剂，用于肽表征的MS技术以及用于功能阐明的数据挖掘。讨论了肽组学的现有挑战和未来前景。