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1.
Degroote, R.L.* et al.: Diabetic retinopathy from the vitreous proteome perspective: The INSC94Y transgenic pig model study. Proteomics, DOI: 10.1002/pmic.202300591:e2300591 (2024)
2.
Kültz, D.* et al.: Deep quantitative proteomics of North American Pacific coast star tunicate (Botryllus schlosseri). Proteomics:e2300628 (2024)
3.
Sun, B.* et al.: Improving SWATH-MS analysis by deep-learning. Proteomics 23:e2200179 (2023)
4.
Witting, M.: (Re-)use and (re-)analysis of publicly available metabolomics data. Proteomics 23:e2300032 (2023)
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Ruzafa, N.* ; Pereiro, X.* ; Lepper, M.F. ; Hauck, S.M. & Vecino, E.*: A proteomics approach to identify candidate proteins secreted by Müller glia that protect ganglion cells in the retina. Proteomics 11:e1700321 (2018)
6.
Hauck, S.M. ; Lepper, M.F. ; Hertl, M.* ; Sekundo, W.* & Deeg, C.A.*: Proteome dynamics in biobanked horse peripheral blood derived lymphocytes (PBL) with induced autoimmune uveitis. Proteomics 17:1700013 (2017)
7.
Mossina, A. et al.: Cigarette smoke alters the secretome of lung epithelial cells. Proteomics 17:1600243 (2017)
8.
Lahiri, S.* et al.: In situ detection of histone variants and modifications in mouse brain using imaging mass spectrometry. Proteomics 16, 437-447 (2016)
9.
Mai, H.J.* et al.: Iron and FER-LIKE IRON DEFICIENCY-INDUCED TRANSCRIPTION FACTOR (FIT)-dependent regulation of proteins and genes in Arabidopsis thaliana roots. Proteomics 15, 3030-3047 (2015)
10.
Porras, P.* et al.: A visual review of the interactome of LRRK2: Using deep-curated molecular interaction data to represent biology. Proteomics 15, 1390-1404 (2015)
11.
Maier, S.K. ; Bashkueva, K.* ; Rösli, C.* ; Skerra, A.* & Kuster, B.*: PAS-cal: A repetitive peptide sequence calibration standard for MALDI mass spectrometry. Proteomics 14, 2427-2431 (2014)
12.
Sun, N. et al.: High-resolution metabolite imaging of light and dark treated retina using MALDI-FTICR mass spectrometry. Proteomics 14, 913-923 (2014)
13.
Zahedi, R.P.* ; Ueffing, M. & Sickmann, A.*: Proteomics - moving from inventory to personalized medicine? Proteomics 14, 1953 (2014)
14.
Yentrapalli, R. et al.: Quantitative proteomic analysis reveals induction of premature senescence in human umbilical vein endothelial cells exposed to chronic low-dose rate gamma radiation. Proteomics 13, 1096-1107 (2013)
15.
Braun, P.: Interactome mapping for analysis of complex phenotypes: Insights from benchmarking binary interaction assays. Proteomics 12, 1499-1518 (2012)
16.
Braun, P. & Gingras, A.C.*: History of protein-protein interactions: From egg-white to complex networks. Proteomics 12, 1478-1498 (2012)
17.
Dong, G.F.* ; Callegari, E.* ; Gloeckner, C.J. ; Ueffing, M. & Wang, H.M.*: Mass spectrometric identification of novel posttranslational modification sites in huntingtin. Proteomics 12, 2060-2064 (2012)
18.
Merl, J. ; Ueffing, M. ; Hauck, S.M. & von Toerne, C.: Direct comparison of MS-based label-free and SILAC quantitative proteome profiling strategies in primary retinal Müller cells. Proteomics 12, 1902-1911 (2012)
19.
Azimzadeh, O. et al.: Rapid proteomic remodeling of cardiac tissue caused by total body ionizing radiation. Proteomics 11, 3299-3311 (2011)
20.
Holzmeister, C.F. et al.: Proteomic analysis of defense response of wildtype Arabidopsis thaliana and plants with impaired NO-homeostasis. Proteomics 11, 1664-1683 (2011)
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