Elucidation of the dynamic nature of interactome networks: A practical tutorial.
暂无分享,去创建一个
Sandra I Anjo | Tania Martins-Marques | Paulo Pereira | Henrique Girão | Bruno Manadas | B. Manadas | S. Anjo | P. Pereira | H. Girão | Tânia Martins-Marques
[1] H. Duffy. The molecular mechanisms of gap junction remodeling. , 2012, Heart rhythm.
[2] Ludovic C. Gillet,et al. Quantifying protein interaction dynamics by SWATH mass spectrometry: application to the 14-3-3 system , 2013, Nature Methods.
[3] Daniel E. Zak,et al. PAINT: a promoter analysis and interaction network generation tool for gene regulatory network identification. , 2003, Omics : a journal of integrative biology.
[4] Lan Huang,et al. Profiling of Protein Interaction Networks of Protein Complexes Using Affinity Purification and Quantitative Mass Spectrometry* , 2010, Molecular & Cellular Proteomics.
[5] M. Vidal,et al. Interactome: gateway into systems biology. , 2005, Human molecular genetics.
[6] B. Manadas,et al. Short GeLC‐SWATH: A fast and reliable quantitative approach for proteomic screenings , 2015, Proteomics.
[7] T. Muth,et al. Viewing the proteome: How to visualize proteomics data? , 2015, Proteomics.
[8] Tony Pawson,et al. Mapping differential interactomes by affinity purification coupled with data independent mass spectrometry acquisition , 2013, Nature Methods.
[9] P. Royston. A Remark on Algorithm as 181: The W‐Test for Normality , 1995 .
[10] Lokesh Kumar,et al. Mfuzz: A software package for soft clustering of microarray data , 2007, Bioinformation.
[11] D. Figeys. Combining different 'omics' technologies to map and validate protein-protein interactions in humans. , 2004, Briefings in functional genomics & proteomics.
[12] W. Alkema,et al. BioVenn – a web application for the comparison and visualization of biological lists using area-proportional Venn diagrams , 2008, BMC Genomics.
[13] T. Martins-Marques,et al. Ischaemia-induced autophagy leads to degradation of gap junction protein connexin43 in cardiomyocytes. , 2015, The Biochemical journal.
[14] C. Lo,et al. Role of gap junctions in cardiac conduction and development: insights from the connexin knockout mice. , 2000, Circulation research.
[15] Richard D. Smith,et al. Normalization and missing value imputation for label-free LC-MS analysis , 2012, BMC Bioinformatics.
[16] Navdeep Jaitly,et al. DAnTE: a statistical tool for quantitative analysis of -omics data , 2008, Bioinform..
[17] G. Schmitt-Ulms,et al. Co-immunoprecipitations revisited: an update on experimental concepts and their implementation for sensitive interactome investigations of endogenous proteins , 2007, Analytical and bioanalytical chemistry.
[18] Dana Pascovici,et al. Multiple testing corrections in quantitative proteomics: A useful but blunt tool , 2016, Proteomics.
[19] Brad T. Sherman,et al. Bioinformatics enrichment tools: paths toward the comprehensive functional analysis of large gene lists , 2008, Nucleic acids research.
[20] Bruno Manadas,et al. SWATH‐MS as a tool for biomarker discovery: From basic research to clinical applications , 2017, Proteomics.
[21] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[22] B. Manadas,et al. Interacting Network of the Gap Junction (GJ) Protein Connexin43 (Cx43) is Modulated by Ischemia and Reperfusion in the Heart* , 2015, Molecular & Cellular Proteomics.
[23] D. Megías,et al. Proteomic Analysis of Connexin 43 Reveals Novel Interactors Related to Osteoarthritis* , 2015, Molecular & Cellular Proteomics.
[24] L. Foster,et al. Association of connexin43 with E3 ubiquitin ligase TRIM21 reveals a mechanism for gap junction phosphodegron control. , 2012, Journal of proteome research.
[25] A. Bauer,et al. Human protein-protein interaction networks and the value for drug discovery. , 2007, Drug discovery today.
[26] Kristoffer T G Rigbolt,et al. GProX, a User-Friendly Platform for Bioinformatics Analysis and Visualization of Quantitative Proteomics Data* , 2011, Molecular & Cellular Proteomics.
[27] Teresa M. Ribeiro-Rodrigues,et al. Heart ischemia results in connexin43 ubiquitination localized at the intercalated discs. , 2015, Biochimie.
[28] X. Cui,et al. Statistical tests for differential expression in cDNA microarray experiments , 2003, Genome Biology.
[29] L. Bonetta. Protein–protein interactions: Interactome under construction , 2010, Nature.