| Year |
Citation |
Score |
| 2023 |
Chatterjee M, Roschitzki B, Grossmann J, Rathinam M, Kunz L, Wolski W, Panse C, Yadav J, Schlapbach R, Rao U, Sreevathsa R. Developmental stage-specific proteome analysis of the legume pod borer Maruca vitrata provides insights on relevant proteins. International Journal of Biological Macromolecules. 127666. PMID 37890743 DOI: 10.1016/j.ijbiomac.2023.127666 |
0.373 |
|
| 2023 |
Ojosnegros S, Alvarez JM, Grossmann J, Gagliardini V, Quintanilla LG, Grossniklaus U, Fernández H. Proteome and Interactome Linked to Metabolism, Genetic Information Processing, and Abiotic Stress in Gametophytes of Two Woodferns. International Journal of Molecular Sciences. 24. PMID 37569809 DOI: 10.3390/ijms241512429 |
0.377 |
|
| 2022 |
Ojosnegros S, Alvarez JM, Grossmann J, Gagliardini V, Quintanilla LG, Grossniklaus U, Fernández H. The Shared Proteome of the Apomictic Fern ssp. and Its Sexual Relative . International Journal of Molecular Sciences. 23. PMID 36430514 DOI: 10.3390/ijms232214027 |
0.4 |
|
| 2021 |
Avilla-Royo E, Gegenschatz-Schmid K, Grossmann J, Kockmann T, Zimmermann R, Snedeker JG, Ochsenbein-Kölble N, Ehrbar M. Comprehensive quantitative characterization of the human term amnion proteome. Matrix Biology Plus. 12: 100084. PMID 34765964 DOI: 10.1016/j.mbplus.2021.100084 |
0.316 |
|
| 2020 |
Uhrig RG, Echevarría-Zomeño S, Schlapfer P, Grossmann J, Roschitzki B, Koerber N, Fiorani F, Gruissem W. Diurnal Dynamics of the Arabidopsis Rosette Proteome and Phosphoproteome. Plant, Cell & Environment. PMID 33278033 DOI: 10.1111/pce.13969 |
0.576 |
|
| 2019 |
Bao K, Li X, Kajikawa T, Toshiharu A, Selevsek N, Grossmann J, Hajishengallis G, Bostanci N. Pressure Cycling Technology-Assisted Mass Spectrometric Quantification of Gingival Tissue Reveals Proteome Dynamics During the Initiation and Progression of Inflammatory Periodontal Disease. Proteomics. e1900253. PMID 31881116 DOI: 10.1002/pmic.201900253 |
0.305 |
|
| 2019 |
Miller BA, Brewer A, Nanni P, Lim JJ, Callanan JJ, Grossmann J, Kunz L, de Almeida AM, Meade KG, Chapwanya A. Characterization of circulating plasma proteins in dairy cows with cytological endometritis. Journal of Proteomics. 103421. PMID 31233901 DOI: 10.1016/j.jprot.2019.103421 |
0.345 |
|
| 2018 |
Valko PO, Roschitzki B, Faigle W, Grossmann J, Panse C, Biro P, Dambach M, Spahn DR, Weller M, Martin R, Baumann CR. In search of cerebrospinal fluid biomarkers of fatigue in multiple sclerosis: A proteomics study. Journal of Sleep Research. e12721. PMID 29961995 DOI: 10.1111/jsr.12721 |
0.304 |
|
| 2018 |
Bostanci N, Selevsek N, Wolski W, Grossmann J, Bao K, Wahlander A, Trachsel C, Schlapbach R, Özturk VÖ, Afacan B, Emingil G, Belibasakis GN. Targeted proteomics guided by label-free global proteome analysis in saliva reveal transition signatures from health to periodontal disease. Molecular & Cellular Proteomics : McP. PMID 29610270 DOI: 10.1074/mcp.RA118.000718 |
0.327 |
|
| 2018 |
Poljak K, Selevsek N, Ngwa E, Grossmann J, Losfeld ME, Aebi M. Quantitative Profiling of N-linked Glycosylation Machinery in Yeast . Molecular & Cellular Proteomics : McP. 17: 18-30. PMID 28993419 DOI: 10.1074/Mcp.Ra117.000096 |
0.339 |
|
| 2017 |
Grossmann J, Fernández H, Chaubey PM, Valdés AE, Gagliardini V, Cañal MJ, Russo G, Grossniklaus U. Proteogenomic Analysis Greatly Expands the Identification of Proteins Related to Reproduction in the Apogamous Fern Dryopteris affinis ssp. affinis. Frontiers in Plant Science. 8: 336. PMID 28382042 DOI: 10.3389/Fpls.2017.00336 |
0.462 |
|
| 2016 |
Fascellaro G, Petrera A, Lai ZW, Nanni P, Grossmann J, Burger S, Biniossek ML, Gomez-Auli A, Schilling O, Imkamp F. Comprehensive Proteomic Analysis of Nitrogen Starved Mycobacterium smegmatis Δpup Reveals the Impact of Pupylation on Nitrogen Stress Response. Journal of Proteome Research. PMID 27378031 DOI: 10.1021/acs.jproteome.6b00378 |
0.385 |
|
| 2016 |
Hernández-Castellano LE, Ferreira AM, Nanni P, Grossmann J, Argüello A, Capote J, Cai G, Lippolis J, Castro N, Almeida AM. The goat (Capra hircus) mammary gland secretory tissue proteome as influenced by weight loss: A study using label free proteomics. Journal of Proteomics. PMID 27017928 DOI: 10.1016/j.jprot.2016.03.030 |
0.304 |
|
| 2016 |
Kamkina P, Snoek LB, Grossmann J, Volkers RJ, Sterken MG, Daube M, Roschitzki B, Fortes C, Schlapbach R, Roth A, von Mering C, Hengartner MO, Schrimpf SP, Kammenga JE. Natural genetic variation differentially affects the proteome and transcriptome in C. elegans. Molecular & Cellular Proteomics : McP. PMID 26944343 DOI: 10.1074/mcp.M115.052548 |
0.307 |
|
| 2014 |
Vanderschuren H, Nyaboga E, Poon JS, Baerenfaller K, Grossmann J, Hirsch-Hoffmann M, Kirchgessner N, Nanni P, Gruissem W. Large-Scale Proteomics of the Cassava Storage Root and Identification of a Target Gene to Reduce Postharvest Deterioration. The Plant Cell. 26: 1913-1924. PMID 24876255 DOI: 10.1105/Tpc.114.123927 |
0.777 |
|
| 2011 |
Reiland S, Finazzi G, Endler A, Willig A, Baerenfaller K, Grossmann J, Gerrits B, Rutishauser D, Gruissem W, Rochaix JD, Baginsky S. Comparative phosphoproteome profiling reveals a function of the STN8 kinase in fine-tuning of cyclic electron flow (CEF). Proceedings of the National Academy of Sciences of the United States of America. 108: 12955-60. PMID 21768351 DOI: 10.1073/Pnas.1104734108 |
0.744 |
|
| 2011 |
Owiti J, Grossmann J, Gehrig P, Dessimoz C, Laloi C, Hansen MB, Gruissem W, Vanderschuren H. ITRAQ-based analysis of changes in the cassava root proteome reveals pathways associated with post-harvest physiological deterioration Plant Journal. 67: 145-156. PMID 21435052 DOI: 10.1111/J.1365-313X.2011.04582.X |
0.744 |
|
| 2011 |
Reiland S, Grossmann J, Baerenfaller K, Gehrig P, Nunes-Nesi A, Fernie AR, Gruissem W, Baginsky S. Integrated proteome and metabolite analysis of the de-etiolation process in plastids from rice (Oryza sativa L.). Proteomics. 11: 1751-63. PMID 21433289 DOI: 10.1002/Pmic.201000703 |
0.767 |
|
| 2011 |
Carranza P, Grunau A, Schneider T, Hartmann I, Lehner A, Stephan R, Gehrig P, Grossmann J, Groebel K, Hoelzle LE, Eberl L, Riedel K. A gel-free quantitative proteomics approach to investigate temperature adaptation of the food-borne pathogen Cronobacter turicensis 3032. Proteomics. 10: 3248-61. PMID 20718006 DOI: 10.1002/pmic.200900460 |
0.324 |
|
| 2010 |
Grossmann J, Roschitzki B, Panse C, Fortes C, Barkow-Oesterreicher S, Rutishauser D, Schlapbach R. Implementation and evaluation of relative and absolute quantification in shotgun proteomics with label-free methods. Journal of Proteomics. 73: 1740-6. PMID 20576481 DOI: 10.1016/j.jprot.2010.05.011 |
0.363 |
|
| 2009 |
Carranza P, Hartmann I, Lehner A, Stephan R, Gehrig P, Grossmann J, Barkow-Oesterreicher S, Roschitzki B, Eberl L, Riedel K. Proteomic profiling of Cronobacter turicensis 3032, a food-borne opportunistic pathogen. Proteomics. 9: 3564-79. PMID 19609963 DOI: 10.1002/pmic.200900016 |
0.35 |
|
| 2009 |
Reiland S, Messerli G, Baerenfaller K, Gerrits B, Endler A, Grossmann J, Gruissem W, Baginsky S. Large-scale Arabidopsis phosphoproteome profiling reveals novel chloroplast kinase substrates and phosphorylation networks. Plant Physiology. 150: 889-903. PMID 19376835 DOI: 10.1104/Pp.109.138677 |
0.748 |
|
| 2008 |
Baerenfaller K, Grossmann J, Grobei MA, Hull R, Hirsch-Hoffmann M, Yalovsky S, Zimmermann P, Grossniklaus U, Gruissem W, Baginsky S. Genome-scale proteomics reveals Arabidopsis thaliana gene models and proteome dynamics. Science (New York, N.Y.). 320: 938-41. PMID 18436743 DOI: 10.1126/Science.1157956 |
0.756 |
|
| 2007 |
Grossmann J, Fischer B, Baerenfaller K, Owiti J, Buhmann JM, Gruissem W, Baginsky S. A workflow to increase the detection rate of proteins from unsequenced organisms in high-throughput proteomics experiments. Proteomics. 7: 4245-54. PMID 18040981 DOI: 10.1002/Pmic.200700474 |
0.709 |
|
| 2007 |
Roos FF, Jacob R, Grossmann J, Fischer B, Buhmann JM, Gruissem W, Baginsky S, Widmayer P. PepSplice: cache-efficient search algorithms for comprehensive identification of tandem mass spectra. Bioinformatics (Oxford, England). 23: 3016-23. PMID 17768164 DOI: 10.1093/Bioinformatics/Btm417 |
0.708 |
|
| 2007 |
Baginsky S, Grossmann J, Gruissem W. Proteome analysis of chloroplast mRNA processing and degradation. Journal of Proteome Research. 6: 809-20. PMID 17269737 DOI: 10.1021/Pr060473Q |
0.71 |
|
| 2007 |
Mayer D, Molawi K, Martínez-Sobrido L, Ghanem A, Thomas S, Baginsky S, Grossmann J, García-Sastre A, Schwemmle M. Identification of cellular interaction partners of the influenza virus ribonucleoprotein complex and polymerase complex using proteomic-based approaches. Journal of Proteome Research. 6: 672-82. PMID 17269724 DOI: 10.1021/pr060432u |
0.626 |
|
| 2006 |
Siddique MA, Grossmann J, Gruissem W, Baginsky S. Proteome analysis of bell pepper (Capsicum annuum L.) chromoplasts. Plant & Cell Physiology. 47: 1663-73. PMID 17098784 DOI: 10.1093/Pcp/Pcl033 |
0.76 |
|
| 2006 |
Fischer B, Grossmann J, Roth V, Gruissem W, Baginsky S, Buhmann JM. Semi-supervised LC/MS alignment for differential proteomics. Bioinformatics (Oxford, England). 22: e132-40. PMID 16873463 DOI: 10.1093/Bioinformatics/Btl219 |
0.71 |
|
| 2006 |
Nesvizhskii AI, Roos FF, Grossmann J, Vogelzang M, Eddes JS, Gruissem W, Baginsky S, Aebersold R. Dynamic spectrum quality assessment and iterative computational analysis of shotgun proteomic data: toward more efficient identification of post-translational modifications, sequence polymorphisms, and novel peptides. Molecular & Cellular Proteomics : McP. 5: 652-70. PMID 16352522 DOI: 10.1074/Mcp.M500319-Mcp200 |
0.729 |
|
| 2005 |
Fischer B, Roth V, Roos F, Grossmann J, Baginsky S, Widmayer P, Gruissem W, Buhmann JM. NovoHMM: a hidden Markov model for de novo peptide sequencing. Analytical Chemistry. 77: 7265-73. PMID 16285674 DOI: 10.1021/Ac0508853 |
0.687 |
|
| 2005 |
Grossmann J, Roos FF, Cieliebak M, Lipták Z, Mathis LK, Müller M, Gruissem W, Baginsky S. AUDENS: A tool for automated peptide de novo sequencing Journal of Proteome Research. 4: 1768-1774. PMID 16212431 DOI: 10.1021/Pr050070A |
0.701 |
|
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