Ribosomal Protein Network-based Cluster Analysis Service

Ribosome biogenesis and protein synthesis are fundamental rate-limiting steps for cell growth and proliferation. Although ribosomal proteins are known for playing an essential role in ribosome assembly and protein translation, their ribosome-independent functions have also been greatly appreciated. With the introduction of techniques for statistical data analysis into ribosomal protein research, network-based cluster analysis has been applied to clarify the function of ribosomal proteins and explain the association between ribosomal proteins and related diseases.

As an advanced biotech company, Creative Biolabs has launched comprehensive ribosomal proteins network-based cluster analysis services to solve your problems. Based on our established protein analysis platforms, our customized proteomics services have achieved remarkable goals in disease diagnosis, pathological research, and drug discovery.

Introduction to Network-based Cluster Analysis of Ribosomal Proteins

Cluster analysis is the task of grouping a set of objects in such a way that objects in the same group, which is a common technique for statistical data analysis, are used in many fields. With the construction protein-protein interaction (PPI) network, seemingly unrelated proteins are intricately linked together by PPI networks. Based on established databases of various proteins, network-based cluster analysis has been used in protein function studies, disease biomarker detection, and novel PPI discovery. Numerous ribosome-associated proteins (RAPs), which are nonribosomal proteins, can bind to the ribosome to comprise the ribosomal proteome together with RPs. Therefore, network-based cluster analysis showed huge potential in ribosomal protein research.

Fig. 1 Evolution of the r-protein interactomes.¹

Methods of Network-based Cluster Analysis of Ribosomal Proteins

To complete the network-based cluster analysis of ribosomal proteins, an important factor is a comprehensive and specific database for ribosomal proteins and ribosome-interacting proteins. For example, RIBOi, covering over 642 ribosomal proteins with 13,680 experimentally verified and 105,646 theoretically predicted protein-protein interactions for four model organisms and six pathogens, is a reliable database as the foundation of network-based cluster analysis of ribosomal proteins. Moreover, other important ribosome-specific databases such as Ribosomal Database Project, SILVA, and Ribosomal Protein Gene Database are all useful in related analysis. With different PPI networks, different cluster models of proteins have been developed, and for each of these cluster models, different algorithms can be given. The notion of a cluster, as found by different algorithms, varies significantly in its properties.

Fig. 2 Involvement of human r-proteins in pre-rRNA processing.²

It is no doubt that ribosomal proteins are promising in diagnosis and treatment, while the network-based cluster analysis of ribosomal proteins provides novel insight into ribosomal proteomics analysis. Creative Biolabs offers our clients rapid and inexpensive Network-based Cluster Analysis of Ribosomal Proteins service. We are confident in presenting a comprehensive set of services to explain the secrets of ribosome proteins to worldwide clients. For more details of our service, please feel free to contact us to assist you.

References

1. Timsit, Youri, Grégoire Sergeant-Perthuis, and Daniel Bennequin. "Evolution of ribosomal protein network architectures." Scientific reports 11.1 (2021): 625.
2. Nicolas, Emilien, et al. "Involvement of human ribosomal proteins in nucleolar structure and p53-dependent nucleolar stress." Nature communications 7.1 (2016): 11390.