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Magalhães, P. et al. (2018) Comparison of urine and plasma peptidome indicates selectivity in renal peptide handling. Proteomics Clinical Applications, 12(5), 1700163. (doi: 10.1002/prca.201700163) (PMID:29611317)

Krochmal, M., Schanstra, J. P. and Mischak, H. (2018) Urinary peptidomics in kidney disease and drug research. Expert Opinion on Drug Discovery, 13(3), pp. 259-268. (doi: 10.1080/17460441.2018.1418320) (PMID:29240457)

Pontillo, C. et al. (2017) Prediction of chronic kidney disease stage 3 by CKD273, a urinary proteomic biomarker. Kidney International Reports, 2(6), pp. 1066-1075. (doi: 10.1016/j.ekir.2017.06.004) (PMID:29130072) (PMCID:PMC5669285)

Krochmal, M. et al. (2017) Identification of novel molecular signatures of IgA nephropathy through an integrative -omics analysis. Scientific Reports, 7, 9091. (doi: 10.1038/s41598-017-09393-w) (PMID:28831120) (PMCID:PMC5567309)

Pontillo, C. and Mischak, H. (2017) Urinary peptide-based classifier CKD273: towards clinical application in chronic kidney disease. Clinical Kidney Journal, 10(2), pp. 192-201. (doi: 10.1093/ckj/sfx002)

Fernandes, M. and Husi, H. (2017) Establishment of a integrative multi-omics expression database CKDdb in the context of chronic kidney disease (CKD). Scientific Reports, 7, 40367. (doi: 10.1038/srep40367) (PMID:28079125) (PMCID:PMC5227717)

Fernandes, M. and Husi, H. (2016) Integrative systems biology investigation of Fabry disease. Diseases, 4(4), 35. (doi: 10.3390/diseases4040035)

Currie, G. and Delles, C. (2016) Urinary proteomics for diagnosis and monitoring of diabetic nephropathy. Current Diabetes Reports, 16(11), 104. (doi: 10.1007/s11892-016-0798-3) (PMID:27658932)

Magalhães, P., Mischak, H. and Zürbig, P. (2016) Urinary proteomics using capillary electrophoresis coupled to mass spectrometry for diagnosis and prognosis in kidney diseases. Current Opinion in Nephrology and Hypertension, 25(6), pp. 494-501. (doi: 10.1097/mnh.0000000000000278) (PMID:27584928)

Papadopoulos, T., Krochmal, M., Cisek, K., Fernandes, M., Husi, H., Stevens, R., Bascands, J.-L., Schanstra, J. P. and Klein, J. (2016) Omics databases on kidney disease: where they can be found and how to benefit from them. Clinical Kidney Journal, 9(3), pp. 343-352. (doi: 10.1093/ckj/sfv155) (PMID:27274817) (PMCID:PMC4886900)

Krochmal, M., Fernandes, M., Filip, S., Pontillo, C., Husi, H., Zoidakis, J., Mischak, H., Vlahou, A. and Jankowski, J. (2016) PeptiCKDdb-peptide- and protein-centric database for the investigation of genesis and progression of chronic kidney disease. Database, 2016, baw128. (doi: 10.1093/database/baw128) (PMID:27589965) (PMCID:PMC5009324)

Glorieux, G. et al. (2015) New insights in molecular mechanisms involved in chronic kidney disease using high-resolution plasma proteome analysis. Nephrology Dialysis Transplantation, 30(11), pp. 1842-1852. (doi: 10.1093/ndt/gfv254) (PMID:26160894)

This list was generated on Wed Oct 4 15:11:20 2023 BST.