ReviewGenomics, proteomics & bioinformatics2013
Interactome mapping: using protein microarray technology to reconstruct diverse protein networks.
Review in Genomics, proteomics & bioinformatics, 2013. 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.
- Enzymatic analysis of WWP2 E3 ubiquitin ligase using protein microarrays identifies autophagy-related substrates.The Journal of biological chemistry · 2022Article
- Micro-scale technologies propel biology and medicine.Biomicrofluidics · 2021Article
- Applications of Protein Microarrays in Biomarker Discovery for Autoimmune Diseases.Frontiers in immunology · 2021Review
- Recent Advances on the Molecular Mechanism of Cervical Carcinogenesis Based on Systems Biology Technologies.Computational and structural biotechnology journal · 2019Review
- Intriguing Interaction of Bacteriophage-Host Association: An Understanding in the Era of Omics.Frontiers in microbiology · 2017Review
- Development of repeatable arrays of proteins using immobilized DNA microplate (RAPID-M) technology.BMC research notes · 2015Article
- High-throughput methods for identification of protein-protein interactions involving short linear motifs.Cell communication and signaling : CCS · 2015Article
- The female gametophyte: an emerging model for cell type-specific systems biology in plant development.Frontiers in plant science · 2015Review
- Virus-host interactomics: new insights and opportunities for antiviral drug discovery.Genome medicine · 2014Article
- Getting to the edge: protein dynamical networks as a new frontier in plant-microbe interactions.Frontiers in plant science · 2014Review
- Profiling the dynamics of a human phosphorylome reveals new components in HGF/c-Met signaling.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
2 authors.
Funding
Abstract
A major focus of systems biology is to characterize interactions between cellular components, in order to develop an accurate picture of the intricate networks within biological systems. Over the past decade, protein microarrays have greatly contributed to advances in proteomics and are becoming an important platform for systems biology. Protein microarrays are highly flexible, ranging from large-scale proteome microarrays to smaller customizable microarrays, making the technology amenable for detection of a broad spectrum of biochemical properties of proteins. In this article, we will focus on the numerous studies that have utilized protein microarrays to reconstruct biological networks including protein-DNA interactions, posttranslational protein modifications (PTMs), lectin-glycan recognition, pathogen-host interactions and hierarchical signaling cascades. The diversity in applications allows for integration of interaction data from numerous molecular classes and cellular states, providing insight into the structure of complex biological systems. We will also discuss emerging applications and future directions of protein microarray technology in the global frontier.
Indexed as
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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.