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Comparative gas phase and pulsed liquid phase sequencing on a modified Applied Biosystems 477A sequencer
1University of Helsinki, Department of Medical Chemistry, Finland.
Analytical Biochemistry
|November 1, 1990
Summary
A novel modification enhances the Applied Biosystems 477A sequencer for both pulsed liquid-phase and gas-phase Edman chemistry. The gas-phase mode offers advantages for sequencing on polyvinylidene difluoride (PVDF) membranes, improving efficiency and reducing background noise.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Molecular Biology
Background:
- The Applied Biosystems 477A sequencer is a widely used instrument for protein sequencing.
- Sequencing on polyvinylidene difluoride (PVDF) membranes presents unique challenges.
- Existing protocols may require time-consuming steps and additional reagents.
Purpose of the Study:
- To describe a simple and inexpensive modification of the Applied Biosystems 477A sequencer.
- To evaluate the performance of the modified sequencer in both pulsed liquid-phase and gas-phase modes.
- To highlight the advantages of the gas-phase mode for sequencing on PVDF membranes.
Main Methods:
- Modification of the Applied Biosystems 477A sequencer.
- Comparison of pulsed liquid-phase and gas-phase sequencing protocols.
- Analysis of sequencing performance using samples on glass fiber filters and PVDF membranes.
Main Results:
- The gas-phase mode eliminates the need for additional carriers when sequencing on PVDF membranes.
- Gas-phase sequencing reduces time-consuming preconditioning cycles and lowers sequencer background.
- Initial coupling yields were higher in the gas-phase mode compared to the pulsed liquid-phase mode.
- Average repetitive yields were comparable between the two modes.
Conclusions:
- The described modification provides a versatile and efficient method for protein sequencing.
- The gas-phase mode offers significant advantages for sequencing samples immobilized on PVDF membranes.
- This approach simplifies the sequencing workflow and improves data quality.