ArticleNano letters2012
Quantitating cell-cell interaction functions with applications to glioblastoma multiforme cancer cells.
Article in Nano letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed, 78 citations in OpenAlex.
- Deciphering Cell-Cell Interactions with Integrative Single-Cell Secretion Profiling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- High-throughput precise particle transport at single-particle resolution in a three-dimensional magnetic field for highly sensitive bio-detection.Scientific reports · 2022Article
- The Intriguing Landscape of Single-Cell Protein Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Review
- Clinical Response to Anti-CD47 Immunotherapy Is Associated with Rapid Reduction of Exhausted Bystander CD4Cancers · 2021Article
- Microfluidic Single-Cell Proteomics Assay Chip: Lung Cancer Cell Line Case Study.Micromachines · 2021Article
- Reconstructing Soma-Soma Synapse-like Vesicular Exocytosis with DNA Origami.ACS central science · 2021Article
- Single-Cell Proteomics.Trends in biochemical sciences · 2021Review
- Innovations in 3-Dimensional Tissue Models of Human Brain Physiology and Diseases.Advanced functional materials · 2020Article
- Deep Profiling of Cellular Heterogeneity by Emerging Single-Cell Proteomic Technologies.Proteomics · 2020Review
- Advances of Single-Cell Protein Analysis.Cells · 2020Review
- National Cancer Institute Alliance for nanotechnology in cancer-Catalyzing research and translation toward novel cancer diagnostics and therapeutics.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2019Review
- Ultrasimple Single-Cell Detection of Multiple Cytokines by a Nanowell Chip Integrated with Encoded Microarrays.ACS sensors · 2019Article
- Review
- Microchip Cytometry for Multiplexed Single-Cell Protein Detection in a Low-Resource Setting toward Point of Care Diagnosis.ACS sensors · 2018Article
- Highly Multiplexed Single-Cell Protein Profiling with Large-Scale Convertible DNA-Antibody Barcoded Arrays.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2018Article
- Microfluidics in Malignant Glioma Research and Precision Medicine.Advanced biosystems · 2018Article
- Integrating Immunology and Microfluidics for Single Immune Cell Analysis.Frontiers in immunology · 2018Review
- Single-cell multiplexed cytokine profiling of CD19 CAR-T cells reveals a diverse landscape of polyfunctional antigen-specific response.Journal for immunotherapy of cancer · 2017Article
- Scaling by shrinking: empowering single-cell 'omics' with microfluidic devices.Nature reviews. Genetics · 2017Review
- 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
10 authors at 3 institutions in 1 country.
Funding
Abstract
We report on a method for quantitating the distance dependence of cell-cell interactions. We employ a microchip design that permits a multiplex, quantitative protein assay from statistical numbers of cell pairs, as a function of cell separation, with a 0.15 nL volume microchamber. We interrogate interactions between pairs of model brain cancer cells by assaying for six functional proteins associated with PI3k signaling. At short incubation times, cells do not appear to influence each other, regardless of cell separation. For 6 h incubation times, the cells exert an inhibiting influence on each other at short separations and a predominately activating influence at large separation. Protein-specific cell-cell interaction functions are extracted, and by assuming pairwise additivity of those interactions, the functions are shown to correctly predict the results from three-cell experiments carried out under the identical conditions.
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.