ReviewLab on a chip2017
Microchip-based single-cell functional proteomics for biomedical applications.
Review in Lab on a chip, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 58 citations in OpenAlex.
- Decoding Cellular Heterogeneity with Microfluidic Single-Cell Secretion Analysis Tools.ACS omega · 2026Review
- Metabolic and post-translational modifications in sepsis-associated immune dysfunction: a conceptual framework.Frontiers in immunology · 2026Review
- Profiling signaling mediators for cell-cell interactions and communications with microfluidics-based single-cell analysis tools.iScience · 2025Review
- Trends in Single-Molecule Total Internal Reflection Fluorescence Imaging and Their Biological Applications with Lab-on-a-Chip Technology.Sensors (Basel, Switzerland) · 2023Review
- Article
- Going with the Flow: Modeling the Tumor Microenvironment Using Microfluidic Technology.Cancers · 2021Review
- Proteomics for Low Cell Numbers: How to Optimize the Sample Preparation Workflow for Mass Spectrometry Analysis.Journal of proteome research · 2021Article
- The future of microfluidics in immune checkpoint blockade.Cancer gene therapy · 2021Review
- Microfluidics-Based Single-Cell Research for Intercellular Interaction.Frontiers in cell and developmental biology · 2021Review
- Deep Profiling of Cellular Heterogeneity by Emerging Single-Cell Proteomic Technologies.Proteomics · 2020Review
- Advances of Single-Cell Protein Analysis.Cells · 2020Review
- Separation, Characterization, and Handling of Microalgae by Dielectrophoresis.Microorganisms · 2020Review
- Protein and Proteome Measurements with Microfluidic Chips.Analytical chemistry · 2020Review
- Circulating tumor cells in hepatocellular carcinoma: single-cell based analysis, preclinical models, and clinical applications.Theranostics · 2020Review
- The role of proteomics in the age of immunotherapies.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Review
- Alignment System and Application for a Micro/Nanofluidic Chip.Micromachines · 2018Article
- Adhesion analysis of single circulating tumor cells on a base layer of endothelial cells using open microfluidics.Chemical science · 2018Article
- One-Step Approach to Fabricating Polydimethylsiloxane Microfluidic Channels of Different Geometric Sections by Sequential Wet Etching Processes.Journal of visualized experiments : JoVE · 2018Article
- Paving the way to single-molecule protein sequencing.Nature nanotechnology · 2018Review
- Multi-Omics Profiling of the Tumor Microenvironment: Paving the Way to Precision Immuno-Oncology.Frontiers in oncology · 2018Review
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 3 institutions in 2 countries.
Funding
Abstract
Cellular heterogeneity has been widely recognized but only recently have single cell tools become available that allow characterizing heterogeneity at the genomic and proteomic levels. We review the technological advances in microchip-based toolkits for single-cell functional proteomics. Each of these tools has distinct advantages and limitations, and a few have advanced toward being applied to address biological or clinical problems that traditional population-based methods fail to address. High-throughput single-cell proteomic assays generate high-dimensional data sets that contain new information and thus require developing new analytical frameworks to extract new biology. In this review article, we highlight a few biological and clinical applications in which microchip-based single-cell proteomic tools provide unique advantages. The examples include resolving functional heterogeneity and dynamics of immune cells, dissecting cell-cell interaction by creating a well-controlled on-chip microenvironment, capturing high-resolution snapshots of immune system functions in patients for better immunotherapy and elucidating phosphoprotein signaling networks in cancer cells for guiding effective molecularly targeted therapies.
Indexed as
Identifiers
What OpenQuestion holds
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.