Abstract
SummaryProteomics, along with other omics, is a potentially valuable tool of personalized medicine and thus helping in selecting the most cost‐effective diagnostic and therapeutic options for each patients. This type of personalized approach is becoming more common in the future, since new diagnostic and therapeutic methods are constantly being developed. On the other hand, processing and analyzing of the proteomic samples is becoming easier, more accurate and also cheaper. Tear fluid and ocular surfaces are important and easily available source of samples reflecting not only the state of the anterior segment of the eye but also eye and even human body in general. This presentation is based on the previous ones describing methods of sample processing and mass spectrometric analysis methods of this type of samples as well as on aspects of bioinformatics analysis of proteomic data. It is aimed to provide basic scientists and clinicians an overview of the aspects that are important by using practical examples of this type of research. These examples are covering clinical studies on dry eye, glaucoma medication, glaucoma surgery and refractive surgery.
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