ArticleProceedings of the National Academy of Sciences of the United States of America2016
Intercellular signaling through secreted proteins induces free-energy gradient-directed cell movement.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. 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.
- Nested Nanowell Arrays for High-Throughput Quantitative Analysis of Cytokines from Single Macrophages.ACS nano medicine · 2026Article
- Aggressive Glioblastoma Cells Enhance the Migratory Persistence and Velocity of Less Aggressive Cells to Promote Tumor Dissemination.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Editorial: Multiomics advances: bridging gaps in understanding intricate biological systems.Frontiers in plant science · 2026Article
- Single-cell multi-omics in cancer immunotherapy: from tumor heterogeneity to personalized precision treatment.Molecular cancer · 2025Review
- Kinetic Trajectories of Glucose Uptake in Single Cancer Cells Reveal a Drug-Induced Cell-State Change Within Hours of Drug Treatment.The journal of physical chemistry. B · 2024Article
- Deciphering Cell-Cell Interactions with Integrative Single-Cell Secretion Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- The immunogenic radiation and new players in immunotherapy and targeted therapy for head and neck cancer.Frontiers in oral health · 2023Review
- Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistance.Genome medicine · 2022Article
- The Intriguing Landscape of Single-Cell Protein Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Single-Cell Proteomics.Trends in biochemical sciences · 2021Review
- Measuring single-cell protein secretion in immunology: Technologies, advances, and applications.European journal of immunology · 2021Review
- Thermodynamic energetics underlying genomic instability and whole-genome doubling in cancer.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Advances of Single-Cell Protein Analysis.Cells · 2020Review
- Multi-omic single-cell snapshots reveal multiple independent trajectories to drug tolerance in a melanoma cell line.Nature communications · 2020Article
- Exploring Alzheimer's Disease Molecular Variability via Calculation of Personalized Transcriptional Signatures.Biomolecules · 2020Article
- Single-cell analysis targeting the proteome.Nature reviews. Chemistry · 2020Review
- Decoding cancer heterogeneity: studying patient-specific signaling signatures towards personalized cancer therapy.Theranostics · 2019Article
- Personalized disease signatures through information-theoretic compaction of big cancer data.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Single-cell technologies for profiling T cells to enable monitoring of immunotherapies.Current opinion in chemical engineering · 2018Article
- Microchip-based single-cell functional proteomics for biomedical applications.Lab on a chip · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Controlling cell migration is important in tissue engineering and medicine. Cell motility depends on factors such as nutrient concentration gradients and soluble factor signaling. In particular, cell-cell signaling can depend on cell-cell separation distance and can influence cellular arrangements in bulk cultures. Here, we seek a physical-based approach, which identifies a potential governed by cell-cell signaling that induces a directed cell-cell motion. A single-cell barcode chip (SCBC) was used to experimentally interrogate secreted proteins in hundreds of isolated glioblastoma brain cancer cell pairs and to monitor their relative motions over time. We used these trajectories to identify a range of cell-cell separation distances where the signaling was most stable. We then used a thermodynamics-motivated analysis of secreted protein levels to characterize free-energy changes for different cell-cell distances. We show that glioblastoma cell-cell movement can be described as Brownian motion biased by cell-cell potential. To demonstrate that the free-energy potential as determined by the signaling is the driver of motion, we inhibited two proteins most involved in maintaining the free-energy gradient. Following inhibition, cell pairs showed an essentially random Brownian motion, similar to the case for untreated, isolated single cells.
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.