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The shotgun proteomic analysis is currently the most promising single-cell protein sequencing technology, however its identification level of ~1000 proteins per cell is still insufficient for practical applications. Here, we develop a pick-up single-cell proteomic analysis (PiSPA) workflow to achieve a deep identification capable of quantifying up to 3000 protein groups in a mammalian cell using the label-free quantitative method. The PiSPA workflow is specially established for single-cell samples mainly based on a nanoliter-scale microfluidic liquid handling robot, capable of achieving single-cell capture, pretreatment and injection under the pick-up operation strategy. Using this customized workflow with remarkable improvement in protein identification, 2449-3500, 2278-3257 and 1621-2904 protein groups are quantified in single A549 cells (n = 37), HeLa cells (n = 44) and U2OS cells (n = 27) under the DIA (MBR) mode, respectively. Benefiting from the flexible cell picking-up ability, we study HeLa cell migration at the single cell proteome level, demonstrating the potential in practical biological research from single-cell insight.
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http://dx.doi.org/10.1038/s41467-024-45659-4 | DOI Listing |
Arch Toxicol
September 2025
Laboratorio de Proteómica, Facultad de Microbiología, Instituto Clodomiro Picado, Universidad de Costa Rica, San José, 11501, Costa Rica.
The scorpion Hottentotta judaicus inhabits the Levant region of the Middle East, including Lebanon, Jordan, Palestine, and Israel. While previous research focused on its insecticidal properties and sodium-channel-targeting toxins, its venom remains largely unexplored using modern proteomic approaches. We analyzed the venom composition of H.
View Article and Find Full Text PDFInt J Surg
September 2025
Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: The pathophysiological changes driving incident kidney cancer remain unclear. This study aimed to identify protein biomarkers and underlying mechanisms using pre-diagnostic plasma proteomics.
Materials And Methods: Among 48,851 UK Biobank participants, 165 were diagnosed with kidney cancer, and 2,911 plasma proteins were analyzed.
J Periodontal Res
September 2025
Department of Biomaterials, Institute of Clinical Dentistry, University of Oslo, Oslo, Norway.
Aims: To compare the early wound-healing responses to crosslinked hyaluronic acid enriched with two proline-rich peptides (P2, P6) against unmodified hyaluronic acid and the enamel-matrix derivative (EMD) in a porcine gingival-detachment model.
Methods: In six pigs, defects around premolars were treated with HA, HA + P2, HA + P6 or EMD. After 6 days, the sites were harvested and evaluated using histology, immunohistochemistry, multiplex cytokine assay and untargeted proteomics of the gels, which were examined, informing an integrated multiomics approach analysis.
Arthritis Rheumatol
August 2025
Department of Rheumatology and Immunology, Xiangya Hospital, Central South University, Changsha, Hunan, China.
Objective: To evaluate dynamic changes in autoantibody and proteomic profiles in treatment-naïve systemic sclerosis (SSc) patients and identify biomarkers and mechanisms associated with disease progression.
Methods: Serum samples from 30 baseline and 49 follow-up SSc patients, along with 38 controls, were analyzed. Autoantibody profiles were assessed using an autoantigen microarray targeting 120 autoantibodies, while proteomic analysis was conducted via liquid chromatography-mass spectrometry in data-independent acquisition mode.
J Proteome Res
September 2025
Department of Gastroenterology and Hepatology, West China Hospital, Sichuan University, Chengdu 610041, China.
Colorectal cancer (CRC) is a major global health challenge due to its high incidence, mortality, and low rate of early detection. Early diagnosis, targeting precancerous lesions (advanced adenomas) and early stage CRC (Tis and T1), is critical for improving patient survival. Given the limitations of current detection methods for advanced adenomas, developing high-performance early diagnostic strategies is essential for effective prevention.
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