Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry.
Sofani Tafesse GebreyesusAsad Ali SiyalReta Birhanu KitataEric Sheng-Wen ChenBayarmaa EnkhbayarTakashi AngataKuo-I LinYi-Ju ChenHsiung-Lin TuPublished in: Nature communications (2022)
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.
Keyphrases
- single cell
- mass spectrometry
- high throughput
- rna seq
- liquid chromatography
- electronic health record
- high resolution
- gas chromatography
- high performance liquid chromatography
- circulating tumor cells
- capillary electrophoresis
- label free
- induced apoptosis
- multiple sclerosis
- machine learning
- tandem mass spectrometry
- oxidative stress
- gene expression
- cell therapy
- amino acid
- artificial intelligence
- endoplasmic reticulum stress
- cell proliferation
- computed tomography