ReviewBioengineered bugs
Tools used to study how protein complexes are assembled in signaling cascades.
Review in Bioengineered bugs. 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.
- RNA-Seq-Based Transcriptome Analysis of Nitric Oxide Scavenging Response inJournal of fungi (Basel, Switzerland) · 2023Article
- Methods to Measure NLR Oligomerization I: Size Exclusion Chromatography, Co-immunoprecipitation, and Cross-Linking.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Methods for the Discovery and Identification of Small Molecules Targeting Oxidative Stress-Related Protein-Protein Interactions: An Update.Antioxidants (Basel, Switzerland) · 2022Review
- Interactomes: Experimental and In Silico Approaches.Advances in experimental medicine and biology · 2021Article
- CAMKK2-CAMK4 signaling regulates transferrin trafficking, turnover, and iron homeostasis.Cell communication and signaling : CCS · 2020Article
- Bioengineering tools for the production of pharmaceuticals: current perspective and future outlook.Bioengineered · 2019Review
- Antibody Engineering for Pursuing a Healthier Future.Frontiers in microbiology · 2017Review
- Fluorescence Anisotropy as a Tool to Study Protein-protein Interactions.Journal of visualized experiments : JoVE · 2016Article
- Measuring NLR Oligomerization I: Size Exclusion Chromatography, Co-immunoprecipitation, and Cross-Linking.Methods in molecular biology (Clifton, N.J.) · 2016Article
- Flow cytometric analysis of bimolecular fluorescence complementation: a high throughput quantitative method to study protein-protein interaction.Journal of visualized experiments : JoVE · 2013Article
- On the binding affinity of macromolecular interactions: daring to ask why proteins interact.Journal of the Royal Society, Interface · 2013Review
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
No grant is acknowledged in the PubMed record.
Abstract
Most proteins do not function on their own but as part of large signaling complexes that are arranged in every living cell in response to specific environmental cues. Proteins interact with each other either constitutively or transiently and do so with different affinity. When identifying the role played by a protein inside a cell, it is essential to define its particular cohort of binding partners so that the researcher can predict what signaling pathways the protein is engaged in. Once identified and confirmed, the information might allow the interaction to be manipulated by pharmacological inhibitors to help fight disease. In this review, we discuss protein-protein interactions and how they are essential to propagate signals in signaling pathways. We examine some of the high-throughput screening methods and focus on the methods used to confirm specific protein-protein interactions including; affinity tagging, co-immunoprecipitation, peptide array technology and fluorescence microscopy.
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.