ReviewJournal of proteomics2010
Yeast proteomics and protein microarrays.
Review in Journal of proteomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 30 citations in OpenAlex.
- Regulation of biotic interactions and responses to abiotic stresses by MAP kinase pathways in plant pathogenic fungi.Stress biology · 2021Review
- Proteome-wide Identification of Novel Ceramide-binding Proteins by Yeast Surface cDNA Display and Deep Sequencing.Molecular & cellular proteomics : MCP · 2016Article
- New host factors important for respiratory syncytial virus (RSV) replication revealed by a novel microfluidics screen for interactors of matrix (M) protein.Molecular & cellular proteomics : MCP · 2015Article
- Utilizing Yeast Surface Human Proteome Display Libraries to Identify Small Molecule-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2015Article
- Identification of Posttranslational Modification-Dependent Protein Interactions Using Yeast Surface Displayed Human Proteome Libraries.Methods in molecular biology (Clifton, N.J.) · 2015Review
- Metabolic engineering of yeast to produce fatty acid-derived biofuels: bottlenecks and solutions.Frontiers in microbiology · 2015Review
- Human Urine Proteomics: Analytical Techniques and Clinical Applications in Renal Diseases.International journal of proteomics · 2015Review
- Direct iterative protein profiling (DIPP) - an innovative method for large-scale protein detection applied to budding yeast mitosis.Molecular & cellular proteomics : MCP · 2012Article
- Accurate prediction of inducible transcription factor binding intensities in vivo.PLoS genetics · 2012Article
- A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics.Journal of proteomics · 2010Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Our understanding of biological processes as well as human diseases has improved greatly thanks to studies on model organisms such as yeast. The power of scientific approaches with yeast lies in its relatively simple genome, its facile classical and molecular genetics, as well as the evolutionary conservation of many basic biological mechanisms. However, even in this simple model organism, systems biology studies, especially proteomic studies had been an intimidating task. During the past decade, powerful high-throughput technologies in proteomic research have been developed for yeast including protein microarray technology. The protein microarray technology allows the interrogation of protein-protein, protein-DNA, protein-small molecule interaction networks as well as post-translational modification networks in a large-scale, high-throughput manner. With this technology, many groundbreaking findings have been established in studies with the budding yeast Saccharomyces cerevisiae, most of which could have been unachievable with traditional approaches. Discovery of these networks has profound impact on explicating biological processes with a proteomic point of view, which may lead to a better understanding of normal biological phenomena as well as various human diseases.
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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.