RNA Sequencing of MDA Cell Lines

At Cytion, we've conducted comprehensive RNA sequencing analysis of our MDA cell line portfolio to provide researchers with detailed transcriptomic profiles. This data enables more informed cell line selection and experimental design for cancer research and drug development applications.

Comprehensive Transcriptome Analysis of MDA Cell Lines

Through advanced RNA sequencing technology, Cytion offers detailed transcriptome profiles of our MDA-MB-231 and MDA-MB-468 breast cancer cell lines. Our analysis provides researchers with unprecedented insight into gene expression patterns, alternative splicing events, and non-coding RNA profiles. This comprehensive data enables more precise experimental design and validation for cancer research applications. Each cell line undergoes rigorous quality control measures, including assessment of RNA integrity (RIN > 9.0) and library complexity, ensuring reliable and reproducible results for your research needs. Researchers can access detailed expression data for over 20,000 genes, making it easier to select the most appropriate cell line for specific research objectives.

Validated Expression Data for Oncology Research

At Cytion, we understand the critical importance of validated data in oncology research. Our RNA sequencing analysis of MDA cell lines has been extensively validated using multiple methodologies, including qPCR validation of key cancer-related genes and comparison with established datasets. Our validation process includes comprehensive analysis of cancer pathway genes, metastasis markers, and drug resistance indicators. This rigorous approach ensures that researchers can confidently use our expression data for various applications, from drug screening to biomarker discovery. To support reproducibility in cancer research, we provide detailed methodology documentation and raw data access upon request. Our validation studies specifically focus on critical oncogenic pathways, including EGFR, MAPK, and PI3K/AKT signaling networks, giving researchers valuable insights into potential therapeutic targets.

Integration with Cell Authentication Services

To ensure the highest standards of research reliability, all RNA sequencing data from our MDA cell lines is fully integrated with Cytion's Cell Authentication Services. This integration provides researchers with a complete validation package that includes both genetic expression profiles and cell line identity confirmation. Our authentication process incorporates Short Tandem Repeat (STR) profiling, mycoplasma testing, and comprehensive cell line characterization, all aligned with our RNA sequencing data. This unique integration allows researchers to track expression changes across passages while maintaining confidence in cell line identity. Through our Cell Line Authentication Portal, users can access both authentication certificates and RNA sequencing data in one centralized location, streamlining documentation for publications and regulatory submissions. Additionally, our technical support team provides expert guidance on interpreting combined authentication and expression data for optimal experimental outcomes.

Comprehensive Gene Expression Datasets for Experimental Planning

At Cytion, we've revolutionized experimental planning by providing comprehensive gene expression datasets for our MDA cell lines. Our datasets include detailed expression levels of over 20,000 genes, allowing researchers to precisely plan their experiments based on baseline expression levels of genes of interest. The datasets are accessible through our Expression Data Portal, where researchers can explore and download expression data in multiple formats, including normalized counts and TPM values. We provide specialized analysis tools for pathway enrichment, differential expression analysis, and custom gene set analysis. This comprehensive approach enables researchers to: predict experimental outcomes, optimize protocol conditions, and select appropriate controls before beginning their experiments. Our expression datasets are regularly updated and include comparative analysis across different growth conditions and treatment responses, offering invaluable insights for drug development and cancer biology research.