ArticleMolecular systems biology2011
A regression model approach to enable cell morphology correction in high-throughput flow cytometry.
Article in Molecular systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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
13 citing papers in PubMed, 24 citations in OpenAlex.
- DebarcodeR increases fluorescent cell barcoding capacity and accuracy.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2021Article
- Article
- Single-cell epigenetics - Chromatin modification atlas unveiled by mass cytometry.Clinical immunology (Orlando, Fla.) · 2018Review
- A cleavage product of Polycystin-1 is a mitochondrial matrix protein that affects mitochondria morphology and function when heterologously expressed.Scientific reports · 2018Article
- Discovery of human cell selective effector molecules using single cell multiplexed activity metabolomics.Nature communications · 2018Article
- One-Cell Doubling Evaluation by Living Arrays of Yeast, ODELAY!G3 (Bethesda, Md.) · 2017Article
- Real-time monitoring of the sugar sensing in Saccharomyces cerevisiae indicates endogenous mechanisms for xylose signaling.Microbial cell factories · 2016Article
- Activation of RNase L by Murine Coronavirus in Myeloid Cells Is Dependent on Basal Oas Gene Expression and Independent of Virus-Induced Interferon.Journal of virology · 2016Article
- Dynamic characterization of growth and gene expression using high-throughput automated flow cytometry.Nature methods · 2014Article
- Peroxisomes take shape.Nature reviews. Molecular cell biology · 2013Review
- Leukemia prediction using sparse logistic regression.PloS one · 2013Article
- On the limitations of biological knowledge.Current genomics · 2012Article
- Imaging flow cytometry: coping with heterogeneity in biological systems.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Cells exposed to stimuli exhibit a wide range of responses ensuring phenotypic variability across the population. Such single cell behavior is often examined by flow cytometry; however, gating procedures typically employed to select a small subpopulation of cells with similar morphological characteristics make it difficult, even impossible, to quantitatively compare cells across a large variety of experimental conditions because these conditions can lead to profound morphological variations. To overcome these limitations, we developed a regression approach to correct for variability in fluorescence intensity due to differences in cell size and granularity without discarding any of the cells, which gating ipso facto does. This approach enables quantitative studies of cellular heterogeneity and transcriptional noise in high-throughput experiments involving thousands of samples. We used this approach to analyze a library of yeast knockout strains and reveal genes required for the population to establish a bimodal response to oleic acid induction. We identify a group of epigenetic regulators and nucleoporins that, by maintaining an 'unresponsive population,' may provide the population with the advantage of diversified bet hedging.
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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.