Proteomic Analysis for Breast Cancer

Proteomic Analysis for Breast Cancer

Proteomic analysis studies proteins, including their structures, functions, and interactions, and is essential for understanding breast cancer biology, identifying diagnostic biomarkers, and developing targeted therapies. Dysregulated proteins contribute to cancer progression, metastasis, and treatment resistance. Alfa Cytology offers a complete range of proteomic analysis services tailored for breast cancer research, including data generation, analysis, and interpretation.

Introduction of Proteomic

The proteome refers to the complete set of proteins expressed by the genome, including all proteins expressed by a cell or organism. Proteomics is a science that studies the composition and changes of proteins in cells, tissues, or organisms, taking the proteome as the research object. Essentially, it is a large-scale study of the characteristics of proteins, including protein expression levels, post-translational modifications, protein-protein interactions, etc., to gain a comprehensive understanding of disease occurrence, cell metabolism, etc. At present, proteomics is widely used in the clinical diagnosis, detection, etiological prediction, and treatment decision of breast cancer. Proteomic information can be used to classify breast cancer (BC) subtypes and stages, study BC tumorigenesis mechanisms, cancer behavior and aggressiveness, and recurrence prediction, it also plays an important role in choosing the most appropriate BC treatment.

Protein structure practical workflow diagram.Fig.1 Protein structure practical workflow diagram. (Neagu AN, et al., 2022)

Our Services

Alfa Cytology can provide you with BC proteomic analysis services. The proteomic characterization of breast tumors is critical to understanding molecular aberrations, especially the characterization of BC-associated proteins. These proteins are considered to be a unique set of potential biomarkers associated with cancer through their loss, downregulation, overexpression, or post-translational modification, and aberrant PPIs may lead to cellular dysfunction, tumor development, and affect patient survival. To better understand the function of individual proteins and their location in complex biological systems, it is necessary to measure changes in protein abundance relative to other systems. Our services include,

Services Technology type Description
Protein qualitative LC-MS/MS Through LC-MS/MS, purified samples such as IP, Co-IP, and Pull-down can be detected to identify target proteins and their interacting proteins. Protein mixtures in other types of samples can also be identified to understand protein species in a given environment.
Protein quantification TMT/iTRAQ marker quantification
Label-free non-standard quantity
PRM target validation
Determine the total protein content of a sample or the amount of a single protein component.
Protein modification Phosphorylation modification
Acetylation modification
Ubiquitination modification
Many vital life processes in organisms are regulated by spatiotemporally specific, reversible post-translational modifications. Therefore, revealing the rules of post-translational modification is an important prerequisite for analyzing the complex biological functions of proteins.

Application Fields

  • Biomarker discovery
  • Predict efficacy
  • BC classification
  • Drug target and mechanism research

Advantages of Our Services

  • High sensitivity of the experimental platform
  • Personalized customized analysis
  • Complete solution
  • Professional team and rich experience

Alfa Cytology is a leading global CRO company. Our complete, optimized, and easy-to-operate workflows provide you with fast, accurate, and reproducible results to help you achieve your research goals. We provide personalized, innovative, complete sequencing service solutions, if you are interested in learning more about our BC multi-omic analysis services, please feel free to contact us. Our professional and patient staff will get in touch with you as soon as possible.

Reference

  1. Neagu AN, et al. Proteomics-Based Identification of Dysregulated Proteins in Breast Cancer. Proteomes. 2022 Oct 21;10(4):35.
All our services are exclusively intended for preclinical research purposes. They are not intended for diagnostic, therapeutic, or patient management applications.