Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry

Sofani Tafesse Gebreyesus, Asad Ali Siyal, Reta Birhanu Kitata, Eric Sheng-Wen Chen, Bayarmaa Enkhbayar, Takashi Angata, Kuo-I Lin, Yu-Ju Chen () and Hsiung-Lin Tu ()
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Sofani Tafesse Gebreyesus: Academia Sinica
Asad Ali Siyal: Academia Sinica
Reta Birhanu Kitata: Academia Sinica
Eric Sheng-Wen Chen: Academia Sinica
Bayarmaa Enkhbayar: Academia Sinica
Takashi Angata: Academia Sinica
Kuo-I Lin: Academia Sinica
Yu-Ju Chen: Academia Sinica
Hsiung-Lin Tu: Academia Sinica

Nature Communications, 2022, vol. 13, issue 1, 1-13

Abstract: Abstract Single-cell proteomics can reveal cellular phenotypic heterogeneity and cell-specific functional networks underlying biological processes. Here, we present a streamlined workflow combining microfluidic chips for all-in-one proteomic sample preparation and data-independent acquisition (DIA) mass spectrometry (MS) for proteomic analysis down to the single-cell level. The proteomics chips enable multiplexed and automated cell isolation/counting/imaging and sample processing in a single device. Combining chip-based sample handling with DIA-MS using project-specific mass spectral libraries, we profile on average ~1,500 protein groups across 20 single mammalian cells. Applying the chip-DIA workflow to profile the proteomes of adherent and non-adherent malignant cells, we cover a dynamic range of 5 orders of magnitude with good reproducibility and

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-021-27778-4

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DOI: 10.1038/s41467-021-27778-4

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