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3. Posttranslational protein modifications as gatekeepers of cancer immunogenicity

4. Metabolomic fingerprinting of renal disease progression in Bardet-Biedl syndrome reveals mitochondrial dysfunction in kidney tubular cells

6. An extensive review on phenolic compounds and their potential estrogenic properties on skin physiology

8. Dysregulation of lipid metabolism and pathological inflammation in patients with COVID-19

9. The 2022 European Union report on pesticide residues in food.

12. An extensive review on phenolic compounds and their potential estrogenic properties on skin physiology

15. Multi-Omics Studies Unveil Extraciliary Functions of BBS10 and Show Metabolic Aberrations Underlying Renal Disease in Bardet–Biedl Syndrome

16. CD4+ T helper 2 cells suppress breast cancer by inducing terminal differentiation

17. Urine concentrating defect as presenting sign of progressive renal failure in Bardet–Biedl syndrome patients

19. Proteomic Analysis of Mucopolysaccharidosis IIIB Mouse Brain

21. Hypermethioninemia in Campania: Results from 10 years of newborn screening

23. Urine concentrating defect as presenting sign of progressive renal failure in Bardet–Biedl syndrome patients.

24. Analisi dei residui di fitofarmaci mediante UHPLC-MS. Indagine conoscitiva dei prodotti alimentari presenti sul mercato.

25. Proteomics and metabolomics studies exploring the pathophysiology of renal dysfunction in autosomal dominant polycystic kidney disease and other ciliopathies.

27. Metabolomic fingerprinting of renal disease progression in Bardet-Biedl syndrome reveals mitochondrial dysfunction in kidney tubular cells

28. Urine concentrating defect as presenting sign of progressive renal failure in Bardet-Biedl syndrome patients

29. Proteomics and metabolomics studies exploring the pathophysiology of renal dysfunction in autosomal dominant polycystic kidney disease and other ciliopathies

30. Thymic stromal lymphopoietin-stimulated CD4 + T cells induce senescence in advanced breast cancer.

31. [Application of proteomics and metabolomics to study inherited kidney disorders: from big data to precision medicine].

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