ReviewCytometry. Part A : the journal of the International Society for Analytical Cytology2010
Communicating subcellular distributions.
Review in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- A Review for Artificial Intelligence Based Protein Subcellular Localization.Biomolecules · 2024Review
- Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins.BMC bioinformatics · 2016Article
- Protein (multi-)location prediction: utilizing interdependencies via a generative model.Bioinformatics (Oxford, England) · 2015Article
- Protein (multi-)location prediction: using location inter-dependencies in a probabilistic framework.Algorithms for molecular biology : AMB · 2014Article
- Bioanalysis of eukaryotic organelles.Chemical reviews · 2013Review
- Subcellular localization-dependent changes in EGFP fluorescence lifetime measured by time-resolved flow cytometry.Biomedical optics express · 2013Article
- Toward the virtual cell: automated approaches to building models of subcellular organization "learned" from microscopy images.BioEssays : news and reviews in molecular, cellular and developmental biology · 2012Review
- Stromal proteome expression profile and muscle-invasive bladder cancer research.Cancer cell international · 2012Article
- CellOrganizer: Image-derived models of subcellular organization and protein distribution.Methods in cell biology · 2012Article
- Proteomics research on muscle-invasive bladder transitional cell carcinoma.Cancer cell international · 2011Article
- RNAi screening: new approaches, understandings, and organisms.Wiley interdisciplinary reviews. RNAReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
To build more accurate models of cells and tissues, the ability to incorporate information on the distributions of proteins (and other macromolecules) will become increasingly important. This review describes current progress towards determining and representing protein subcellular patterns so that the information can be used as part of systems biology efforts. Approaches to decomposing an image of the subcellular pattern of a protein give critical information about the fraction of that protein in each of a number of fundamental patterns (e.g., organelles). Methods for learning generative models from images provide a means of capturing the essential properties and variation in those properties of cell shape and organelle patterns. The combination of models of fundamental patterns and vectors specifying the fraction of a protein in each of them provide a much better means of communicating subcellular patterns than the descriptive terms that are currently used. Communicating information about subcellular patterns is important not only for systems biology simulations but also for representing results from microscopy experiments, including high content screening and imaging flow cytometry, in a transportable and generalizable manner.
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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.