論文 - 詳細
| RRC ID | 69161 |
|---|---|
| 著者 | Gebreyesus ST, Siyal AA, Kitata RB, Chen ES, Enkhbayar B, Angata T, Lin KI, Chen YJ, Tu HL. |
| タイトル | Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry. |
| ジャーナル | Nat Commun |
| 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 <16% missing values between runs. Taken together, the chip-DIA workflow offers all-in-one cell characterization, analytical sensitivity and robustness, and the option to add additional functionalities in the future, thus providing a basis for advanced single-cell proteomics applications. |
| 巻・号 | 13(1) |
| ページ | 37 |
| 公開日 | 2022-1-10 |
| DOI | 10.1038/s41467-021-27778-4 |
| PII | 10.1038/s41467-021-27778-4 |
| PMID | 35013269 |
| PMC | PMC8748772 |
| MeSH | Animals Cell Line, Tumor Cell Separation Humans Lab-On-A-Chip Devices* Lung Neoplasms Mass Spectrometry / methods* Microfluidics / methods* Proteome Proteomics / methods* Reproducibility of Results Workflow |
| IF | 12.121 |
| オルトメトリクス指標 |
オルトメトリクス指標項目
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| 最多言及媒体 | X(Twitter) |
| 各媒体での言及数の合計 | 58 |
| 過去6か月間でのオルトメトリクス指標の変動値 | 0.0 |
| リソース情報 | |
| ヒト・動物細胞 | PC-9(RCB4455) |