Comparative Proteome Signatures of Trace Samples by Multiplexed Data-Independent Acquisition.

ABSTRACT: Single-cell transcriptomics has revolutionized our understanding of basic biology and disease. Since transcript levels often do not correlate with protein expression, it is crucial to complement transcriptomics approaches with proteome analyses at single-cell resolution. Despite continuous technological improvements in sensitivity, mass-spectrometry-based single-cell proteomics ultimately faces the challenge of reproducibly comparing the protein expression profiles of thousands of individual cells. Here, we combine two hitherto opposing analytical strategies, DIA and Tandem-Mass-Tag (TMT)-multiplexing, to generate highly reproducible, quantitative proteome signatures from ultralow input samples. We developed a novel, identification-independent proteomics data-analysis pipeline that allows

SUBMITTER: Ctortecka C 

PROVIDER: S-EPMC8717550 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature