ArticleJournal of biomedical optics2012
Method for physiologic phenotype characterization at the single-cell level in non-interacting and interacting cells.
Article in Journal of biomedical optics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 22 citations in OpenAlex.
- Efficient single-cell oxygen consumption rate characterization based on frequency domain fluorescence lifetime imaging microscopy measurement and microfluidic platform.Biomicrofluidics · 2023Article
- Simultaneous Multiparameter Cellular Energy Metabolism Profiling of Small Populations of Cells.Scientific reports · 2018Article
- Perfusion double-channel micropipette probes for oxygen flux mapping with single-cell resolution.Beilstein journal of nanotechnology · 2018Article
- A platform for high-throughput bioenergy production phenotype characterization in single cells.Scientific reports · 2017Article
- Platform for combined analysis of functional and biomolecular phenotypes of the same cell.Scientific reports · 2017Article
- Article
- Transcriptional regulation by normal epithelium of premalignant to malignant progression in Barrett's esophagus.Scientific reports · 2016Article
- Vorinostat differentially alters 3D nuclear structure of cancer and non-cancerous esophageal cells.Scientific reports · 2016Article
- A polymer-based ratiometric intracellular glucose sensor.Chemical communications (Cambridge, England) · 2014Article
- A minimally invasive method for retrieving single adherent cells of different types from cultures.Scientific reports · 2014Article
- Population transcriptomics with single-cell resolution: a new field made possible by microfluidics: a technology for high throughput transcript counting and data-driven definition of cell types.BioEssays : news and reviews in molecular, cellular and developmental biology · 2013Article
- Single-cell analysis reveals early manifestation of cancerous phenotype in pre-malignant esophageal cells.PloS one · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 3 institutions in 2 countries.
Funding
Abstract
Intercellular heterogeneity is a key factor in a variety of core cellular processes including proliferation, stimulus response, carcinogenesis, and drug resistance. However, cell-to-cell variability studies at the single-cell level have been hampered by the lack of enabling experimental techniques. We present a measurement platform that features the capability to quantify oxygen consumption rates of individual, non-interacting and interacting cells under normoxic and hypoxic conditions. It is based on real-time concentration measurements of metabolites of interest by means of extracellular optical sensors in cell-isolating microwells of subnanoliter volume. We present the results of a series of measurements of oxygen consumption rates (OCRs) of individual non-interacting and interacting human epithelial cells. We measured the effects of cell-to-cell interactions by using the system's capability to isolate two and three cells in a single well. The major advantages of the approach are: 1. ratiometric, intensity-based characterization of the metabolic phenotype at the single-cell level, 2. minimal invasiveness due to the distant positioning of sensors, and 3. ability to study the effects of cell-cell interactions on cellular respiration rates.
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.