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Multi-color fluorescent DNA analysis in an optofluidic chip

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Multi-color fluorescent DNA analysis in an optofluidic chip

M. Pollnau, C. Dongre, H.J.W.M. Hoekstra

Integrated Optical Microsystems Group, MESA+ Institute for Nanotechnology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands

email: m.pollnau@ewi.utwente.nl Summary

Modulation-frequency-encoded fluorescence excitation enables the identification of end-labeled DNA samples of different genetic origin during their electrophoretic separation, opening perspectives for intrinsic size calibration, malign / healthy sample comparison, and exploitation of multiplex ligation-dependent probe amplification. Introduction

By capillary electrophoresis (CE) in miniaturized lab-on-a-chip devices, integrated DNA sequencing and genetic diagnostics have become feasible. We introduce a principle of parallel optical processing to significantly enhance analysis capabilities. Discussion

In a commercial microfluidic chip (LioniX BV), a plug of DNA molecules with a volume of ~605 pl was injected and the DNA molecules were CE-separated with a high relative sizing accuracy of > 99% [1]. Through an optical waveguide inscribed by femtosecond-laser writing [2] a laser was launched perpendicularly into the microfluidic channel. A photomultiplier collected the fluorescence signals from a small detection window with a limit of detection of ~8 DNA molecules [3].

In our approach (Fig. 1), different sets of exclusively end-labeled DNA fragments are unambiguously identified by simultaneously launching several continuous-wave lasers, each modulated with a different frequency, detection of the frequency-encoded signals at different fluorescence wavelengths by a single ultrasensitive, albeit color-blind photomultiplier (Fig. 2a), and Fourier-domain frequency decoding (Fig. 2b) [4]. As a proof of principle, fragments from independent human genomic segments, associated with genetic predispositions to breast cancer and anemia, are simultaneously analyzed in a single flow experiment (Figs. 2c and 2d) [4].

Such multiple optical identification of biomolecules opens new opportunities in genetic diagnostics. (i) One can obtain intrinsic molecule-size calibration by adding a standard reference (several end-labeled molecules of standardized sizes) to a diagnostic DNA sample. (ii) One can flow an unknown, potentially malign sample of DNA molecules together with their healthy counterparts, thus providing unprecedented resolution. (iii) One can exploit multiplex ligation-dependent probe amplification of samples from different genomic regions, each exclusively color-end-labeled, to simultaneously investigate several diagnostically relevant regions.

Conclusions

This approach enables parallel optical detection in a lab-on-a-chip. Fluorescent labels with narrow absorption bands will allow for much higher degrees of spectral multiplexing, thereby fully exploiting this extra dimension in biomolecule detection.

The authors thank their colleagues from the Politecnico di Milano, LioniX, and Zebra Bioscience for experimental and the European Union for financial support.

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Fig. 1. Modulation-frequency encoded multi-wavelength sensing: Schematic showing plugs of exclusively fluorescence-labeled molecules migrating through the microfluidic separation channel, intersecting the excitation waveguide that guides laser light of different wavelengths and modulation frequencies, and a plug containing DNA molecules with two different labels emitting fluorescence with the signatures of the two modulation frequencies while crossing the excitation waveguide [4].

Fig. 2. (a) Fluorescence signal from 35 end-labeled DNA molecules vs. migration time, as detected by a color-blind photomultiplier. (b) Fourier spectrum of the fluorescence signal and applied transfer functions (dashed lines). Individual signals separated by Fourier analysis of (c) 12 DNA molecules from a breast cancer gene and (d) 23 DNA molecules from a Diamond-Blackfan anemia gene [4].

References

[1] C. Dongre et al., Electrophoresis 31, 2584 (2010). [2] R. Martínez Vázquez et al., Lab Chip 9, 91 (2009). [3] C. Dongre et al., Analyst, submitted (2010).

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