| Title |
Proteomics of Human Aqueous Humor
|
|---|---|
| Published in |
OMICS: A Journal of Integrative Biology, May 2015
|
| DOI | 10.1089/omi.2015.0029 |
| Pubmed ID | |
| Authors |
Krishna R. Murthy, Pavithra Rajagopalan, Sneha M. Pinto, Jayshree Advani, Praveen R. Murthy, Renu Goel, Yashwanth Subbannayya, Lavanya Balakrishnan, Mahashweta Dash, Abhijith K. Anil, Srikanth S. Manda, Raja Sekhar Nirujogi, Dhanashree S. Kelkar, Gajanan J. Sathe, Gourav Dey, Aditi Chatterjee, Harsha Gowda, Shukti Chakravarti, Subramanian Shankar, Nandini A. Sahasrabuddhe, Bipin Nair, Babu Lal Somani, T. S. Keshava Prasad, Akhilesh Pandey |
| Abstract |
The aqueous humor is a colorless, transparent fluid that fills the anterior chamber of the eye. It plays an important role in maintaining the intraocular pressure and providing nourishment to the lens and cornea. The constitution of the aqueous humor is controlled by the blood-aqueous barrier. Though this ocular fluid has been extensively studied, its role in ocular physiology is still not completely understood. In this study, aqueous humor samples were collected from 250 patients undergoing cataract surgery, subjected to multiple fractionation strategies and analyzed on a Fourier transform LTQ-Orbitrap Velos mass spectrometer. In all, we identified 763 proteins, of which 386 have been identified for the first time in this study. Sorbitol dehydrogenase (SORD), filensin (BFSP1), and phakinin (BFSP2) are some of the proteins that have not been previously reported in the aqueous humor. Gene Ontology analysis revealed 35% of the identified proteins to be extracellular, with a majority of them involved in cell communication and signal transduction. This study comprehensively reports 386 novel proteins that have important potential as biomarker candidates for future research into personalized medicine and diagnostics aimed towards improving visual health. |
Login to access the Attention Digest and the Sentiment Analysis related to this output.
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 14% |
| Student > Doctoral Student | 7 | 12% |
| Student > Master | 7 | 12% |
| Student > Bachelor | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 16 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 22% |
| Biochemistry, Genetics and Molecular Biology | 7 | 12% |
| Agricultural and Biological Sciences | 7 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 9% |
| Neuroscience | 2 | 3% |
| Other | 9 | 16% |
| Unknown | 15 | 26% |