Multi-Omic Analysis of Breast Cancer
Multi-omic analysis is a comprehensive approach that integrates data from various biological layers, including genomics, transcriptomics, proteomics, and metabolomics, to provide a holistic view of breast cancer biology. Alfa Cytology offers a robust suite of multi-omic analysis services tailored for breast cancer research and clinical applications, encompassing data generation, integration, and interpretation.
Introduction of Multi-Omic
Breast cancer (BC) is known as a "multiple neoplastic disease collection" with extensive genotypic and phenotypic heterogeneity. Intensive studies of the molecular basis of BC phenotype, development, progression, and metastasis are needed for accurate diagnosis, prognosis, and assessment of response to treatments that improve long-term patient survival. Rapid and recent advances in molecular analysis strategies and analytical techniques based on the development of high-throughput sequencing and mass spectrometry have generated large-scale multi-omic datasets. The term "omics" brings together different research fields that explore the patient's body at different molecular levels such as genome, transcriptome, proteome, and metabolome. At present, the application of multi-omics data in BC research is mostly focused on the identification of drug treatment targets, subtype discrimination, and prognosis prediction.
Fig.1 Molecular features and profiles of breast cancer models from a multi-omics perspective. (Ortiz MMO, et al., 2023)
Our Services
Alfa Cytology can provide you with BC multi-omics analysis services. Our services include:
| Services | Description |
|---|---|
| Breast cancer whole genome analysis | Whole Genome Sequencing (WGS) is the sequencing of the entire genome sequence of an organism to obtain complete genome information. It can be applied to gene diagnosis, tumor gene detection, individualized drug research, etc. |
| Breast cancer transcriptome analysis | The transcriptome is the sum total of all RNAs that can be transcribed in a living cell, which provides critical information on gene regulation and protein content of cells. It can be applied to BC diagnosis and therapy development. |
| Breast cancer proteomic analysis | Proteomics is a science that studies the composition and changes of proteins in cells, tissues, or organisms, taking the proteome as the research object. It can be applied to the clinical diagnosis, detection, etiological prediction, and treatment decision of BC. |
| Breast cancer metabolomics analysis | Metabolomics aims to characterize and quantify complete small-molecule metabolic pathways or metabolomes in biological systems. It can be applied to study differential metabolome patterns associated with neoadjuvant BC therapy. |
| Breast cancer epigenome analysis | The epigenome is a genome-wide map of these epigenetic modifications and is dynamic. It can be applied to BC cancer screening, early diagnosis, BC typing, efficacy evaluation, etc. |
| Breast cancer spatial transcriptome analysis | Spatial transcriptomics can combine microscopic imaging and sequencing technologies to obtain gene expression data while retaining the spatial location information of samples to the greatest extent. It can be applied to the discovery of biomarkers, the study of tumor microenvironment, etc. |
| Breast cancer spatial metabolome analysis | Spatial metabolomics integrates mass spectrometry imaging and metabolomics techniques. It can be applied to BC molecular diagnosis, biomarker discovery, tumor metabolism research, etc. |
Advantages of Our Services
- A professional team of scientists
- High-resolution and coverage
- Advanced sequencing platform
- Rich experience in data analysis
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
- Ortiz MMO, Andrechek ER. Molecular Characterization and Landscape of Breast cancer Models from a multi-omics Perspective. J Mammary Gland Biol Neoplasia. 2023 Jun 3;28(1):12.