ArticleProteomics2017
Microproteomics with microfluidic-based cell sorting: Application to 1000 and 100 immune cells.
Article in Proteomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 25 citations in OpenAlex.
- Optimization and Parallelization of Sorting by Interfacial Tension (SIFT) for High-Throughput Metabolic Cell Sorting.Micromachines · 2026Article
- Bottlenecks in Proteomics: An Addendum.Advances in experimental medicine and biology · 2026Review
- Proteomic identification of proliferation and progression markers in human polycythemia vera stem and progenitor cells.Blood advances · 2022Article
- Proteomics for Low Cell Numbers: How to Optimize the Sample Preparation Workflow for Mass Spectrometry Analysis.Journal of proteome research · 2021Article
- MicroPOTS Analysis of Barrett's Esophageal Cell Line Models Identifies Proteomic Changes after Physiologic and Radiation Stress.Journal of proteome research · 2021Article
- Microfluidics for Peptidomics, Proteomics, and Cell Analysis.Nanomaterials (Basel, Switzerland) · 2021Review
- Simple and Efficient Microsolid-Phase Extraction Tip-Based Sample Preparation Workflow to Enable Sensitive Proteomic Profiling of Limited Samples (200 to 10,000 Cells).Journal of proteome research · 2021Article
- Protein and Proteome Measurements with Microfluidic Chips.Analytical chemistry · 2020Review
- Sensitive Quantitative Proteomics of Human Hematopoietic Stem and Progenitor Cells by Data-independent Acquisition Mass Spectrometry.Molecular & cellular proteomics : MCP · 2019Article
- New mass spectrometry technologies contributing towards comprehensive and high throughput omics analyses of single cells.The Analyst · 2019Review
- Application of a Sensitive and Reproducible Label-Free Proteomic Approach to Explore the Proteome of Individual Meiotic-Phase Barley Anthers.Frontiers in plant science · 2019Article
- Article
- Immune Cell Dynamics Unfolded by Single-Cell Technologies.Frontiers in immunology · 2018Review
- Protein Extraction Methods Shape Much of the Extracted Proteomes.Frontiers in plant science · 2018Article
- Microproteomics with microfluidic-based cell sorting: Application to 1000 and 100 immune cells.Proteomics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ultimately, cell biology seeks to define molecular mechanisms underlying cellular functions. However, heterogeneity within cell populations must be considered for optimal assay design and data interpretation. Although single-cell analyses are desirable for addressing this issue, practical considerations, including assay sensitivity, limit their broad application. Therefore, omics studies on small numbers of cells in defined subpopulations represent a viable alternative for elucidating cell functions at the molecular level. MS-based proteomics allows in-depth proteome exploration, although analyses of small numbers of cells have not been pursued due to loss during the multistep procedure involved. Thus, optimization of the proteomics workflow to facilitate the analysis of rare cells would be useful. Here, we report a microproteomics workflow for limited numbers of immune cells using non-damaging, microfluidic chip-based cell sorting and MS-based proteomics. Samples of 1000 or 100 THP-1 cells were sorted, and after enzymatic digestion, peptide mixtures were subjected to nano-LC-MS analysis. We achieved reasonable proteome coverage from as few as 100-sorted cells, and the data obtained from 1000-sorted cells were as comprehensive as those obtained using 1 μg of whole cell lysate. With further refinement, our approach could be useful for studying cell subpopulations or limited samples, such as clinical specimens.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.