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PCT & DIA


CD Mitochondria uses the latest mitochondrial protein quantitative research platform to provide PCT & DIA analysis technology, to find and quantify specific protein expression, and finally obtain some disease markers or explore the relevant molecular mechanisms behind the occurrence of some diseases.

PCT technology minimizes the steps of sample pretreatment and sample loss and can handle low amounts of precious samples. DIA technology has no flux limit and can be used to detect the number of large-scale samples. Combining the two technologies can achieve the proteomic analysis of paraffin / formaldehyde-treated tissue samples and trace samples, and make use of its characteristics of high flux, strong stability, high speed, and high accuracy. The problem of difficulty to analyze proteome in trace samples can be solved.

Figure 1. Schematic view of the study and batch design. ( Zhang Y. T., et al., 2020)

CD Mitochondria will provide you with a detailed technical report when the project is delivered, including experimental steps, relevant MS parameters, peptide/protein identifications and intensities, MS images (high resolution), and detailed raw data. CD Mitochondria always provides you with customized services for mitochondrial research, and our one-stop research and analysis platform can meet all your research needs, you just need to tell us your experimental purpose and send us your cells, and we will be responsible for all the follow-up matters of the project.

Work Flow

Sample Requirements

Sample Type Recommended Sample Size
Cell sample ≥1 million cells
Puncture sample 1-2 mg
Fresh tissue 1-2 mg
Paraffin section tissue >1 mg
Formaldehyde fixed tissue 1-2 mg

Our Advantages

  • Rich experience in mitochondrial quantitative proteomics research
  • Outstanding research team
  • Unique integrated service for mitochondrial research
  • Reliable data and results
  • Rapid turnaround and cost-effective

CD Mitochondria has the most professional team to serve customers around the world. If you have any questions about the content of this service, please feel free to contact us. We look forward to your contact.

Reference

  1. Zhang Y. T., et al. “ Protein classifier for thyroid nodules learned from rapidly acquired proteotypes. ” medRxiv, 2020, 20059741.(https://doi.org/10.1101/2020.04.09.20059741)
For Research Use Only. Not For Clinical Use.

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