Abstract

The human signal-molecule-profiling database (HSMPD) is designed as a prospective medical database for translational bioinformatics (TBI). To explore the feasibility of low-cost database construction, we studied the roadmap of HSMPD. A HSMPD-oriented tool, called “signal-molecule-profiling (SMP) chip” was developed for data acquisition, which can be employed in the routine blood tests in hospitals; the results will be stored in the HSMPD system automatically. HSMPD system can provide data services for the TBI community, which generates a stable income to support the data acquisition. The small-scale experimental test was performed in the hospital to verify SMP chips and the demo HSMPD software. One hundred and eighty nine complete SMP records were collected, and the demo HSMPD system was also evaluated in the survey study on patients and doctors. The function of SMP chip was verified, whereas the demo HSMPD software needed to be improved. The survey study showed that patients would only accept free tests of SMP chips when they originally needed blood examinations. The study indicated that the construction of HSMPD relies on the self-motivated cooperation of the TBI community and the traditional healthcare system. The proposed roadmap potentially provides an executable solution to build the HSMPD without high costs.

Highlights

  • Biological information stored in databases is important to understand the complex relations between genes, proteins, environmental factors and diseases

  • Population-based health surveys and research biobanks gain much attention from translational bioinformatics (TBI) researchers and substantial international funding, such as the National Institute of Health in the United States, which is the largest funder of basic biomedical research in the world

  • The construction of high-quality clinical database might be the main bottleneck at present for the development of TBI

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Summary

Introduction

Biological information stored in databases is important to understand the complex relations between genes, proteins, environmental factors and diseases. Many countries plan to invest in health IT research by constructing biobanks and health information databases [1]. A significant bioinformatics infrastructure effort that aims to construct high-capacity public health information databases is underway in Europe and the United States. Investments in the public health system enable large-scale surveys on medical issues to collect data and biological materials from large populations. The results of these surveys with the corresponding biomedical data or samples often turn into international open resources for TBI research. The Janus Serum Bank is an example of a useful biobank [3] In this biobank, which includes 170,000 clinical samples, blood samples reserved for cancer research were collected through Norwegian health screening studies

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