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Updated: Jun 7, 2026

Proteomic Sample Preparation from Formalin Fixed and Paraffin Embedded Tissue
Published on: September 2, 2013
Proteomics analysis of an individual formalin-fixed paraffin-embedded tissue section using isobaric-tag amplification
Ara Cho1, Jinsung Ahn1, Andrew Kim1
1Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, and College of Medicine, Seoul National University, Seoul, Republic of Korea.
Insights
Isobaric labeling with TMT-labeled peptides/proteins enhances low-abundance protein detection in FFPE tissues. This method enables robust proteomic analysis for retrospective clinical studies.
Area of Science:
- Proteomics
- Biochemistry
- Molecular Biology
Background:
- Formalin-fixed paraffin-embedded (FFPE) tissues are crucial for retrospective clinical studies.
- Detecting low-abundance proteins and achieving proteome-scale data from FFPE samples presents mass spectrometry challenges.
Purpose of the Study:
- To implement an isobaric labeling approach for improved detection of low-abundance proteins in FFPE tissues.
- To enhance the qualitative and quantitative analysis of FFPE samples.
Main Methods:
- Utilized isobaric labeling with synthetic peptides or proteins for qualitative and quantitative protein measurement.
- Incorporated tandem mass tag (TMT)-labeled recombinant proteins/synthetic peptides into TMT-labeled metastatic breast cancer FFPE tissues.
Main Results:
- Successfully detected coexisting CD276 (B7-H3) and CD147 proteins.
- Identified over 6000 proteins in FFPE samples through targeted analysis.
- Demonstrated enhanced detection of target proteins using isobaric labeling and TMT-labeled peptides/proteins.
Conclusions:
- Isobaric labeling with synthetic peptides/proteins is a valuable strategy for FFPE tissue analysis.
- This technique facilitates comprehensive analysis of low-abundance proteins and proteome-scale investigations.
- The methodology holds potential for advancing retrospective clinical studies and understanding disease mechanisms.
Rationale:
The comprehensive analysis of formalin-fixed paraffin-embedded (FFPE) tissues is essential for retrospective clinical studies. However, detecting low-abundance proteins and obtaining proteome-scale data from FFPE samples pose analytical challenges in mass spectrometry-based proteomics. To overcome this challenge, our study focuses on implementing an isobaric labeling approach to improve the detection of low-abundance target proteins in FFPE tissues, thereby enhancing the qualitative and quantitative analysis.
Methods:
We employed an isobaric labeling approach utilizing synthetic peptides or proteins to enable the qualitative and quantitative measurement of target proteins in FFPE tissue samples. To achieve this, we incorporated tandem mass tag (TMT)-labeled recombinant proteins or synthetic peptides into TMT-labeled metastatic breast cancer FFPE tissues. Through this strategy, we successfully detect coexisting CD276 (B7-H3) and CD147 proteins while identifying over 6000 proteins using targeted analysis of individual FFPE tissue sections.
Results:
Our findings provide compelling evidence that the incorporation of isobaric labeling, along with the inclusion of TMT-labeled peptides or proteins, greatly enhances the detection of target proteins in FFPE tissue samples. By employing this approach, we were able to obtain robust qualitative measurements of CD276 and CD147 proteins, showcasing its effectiveness in identifying more than 6000 proteins in FFPE samples.
Conclusions:
The integration of an isobaric labeling approach, in conjunction with synthetic peptides or proteins, presents a valuable strategy for enhancing the detection and validation of target proteins in FFPE tissue analysis. This technique holds immense potential in retrospective clinical studies, as it enables comprehensive analysis of low-abundance proteins and facilitating proteome-scale investigations in FFPE samples. By leveraging this methodology, researchers can unlock new insights into disease mechanisms and advance our understanding of complex biological processes.
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