Integrated View of Baseline Protein Expression in Human Tissues
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Andrew R. Jones | P. Moreno | I. Papatheodorou | Nancy George | J. Vizcaíno | Ananth Prakash | D. J. Kundu | D. García-Seisdedos | Shengbo Wang | Andrew Collins | A. Jones
[1] B. Kuster,et al. Reanalysis of ProteomicsDB Using an Accurate, Sensitive, and Scalable False Discovery Rate Estimation Approach for Protein Groups , 2022, Molecular & cellular proteomics : MCP.
[2] P. Moreno,et al. Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues , 2021, bioRxiv.
[3] A. Gonzáléz-Pérez,et al. Integrated Genomic, Transcriptomic and Proteomic Analysis for Identifying Markers of Alzheimer’s Disease , 2021, Diagnostics.
[4] D. Hassabis,et al. Protein complex prediction with AlphaFold-Multimer , 2021, bioRxiv.
[5] P. Moreno,et al. Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas , 2021, Scientific Data.
[6] A. Brazma,et al. A proteomics sample metadata representation for multiomics integration and big data analysis , 2021, Nature Communications.
[7] Peter B. McGarvey,et al. UniProt: the universal protein knowledgebase in 2021 , 2020, Nucleic Acids Res..
[8] Aïda Ouangraoua,et al. OpenProt 2021: deeper functional annotation of the coding potential of eukaryotic genomes , 2020, Nucleic Acids Res..
[9] Astrid Gall,et al. Ensembl 2021 , 2020, Nucleic Acids Res..
[10] Rebekah L. Gundry,et al. A high-stringency blueprint of the human proteome , 2020, Nature Communications.
[11] Edgars Celms,et al. Using Deep Learning to Extrapolate Protein Expression Measurements , 2020, Proteomics.
[12] A. Vlahou,et al. Insights into Biomechanical and Proteomic Characteristics of Small Diameter Vascular Grafts Utilizing the Human Umbilical Artery , 2020, Biomedicines.
[13] W. Vranken,et al. Scop3P: a comprehensive resource of human phosphosites within their full context. , 2020, Journal of proteome research.
[14] Irving E. Vega,et al. Hemispheric asymmetry in the human brain and in Parkinson’s disease is linked to divergent epigenetic patterns in neurons , 2020, Genome Biology.
[15] Mathias Wilhelm,et al. Mass-spectrometry-based draft of the Arabidopsis proteome , 2020, Nature.
[16] Shiva Kumar,et al. Multi-omics Data Integration, Interpretation, and Its Application , 2020, Bioinformatics and biology insights.
[17] Amos Bairoch,et al. The neXtProt knowledgebase in 2020: data, tools and usability improvements , 2019, Nucleic Acids Res..
[18] Nuno A. Fonseca,et al. Expression Atlas update: from tissues to single cells , 2019, Nucleic Acids Res..
[19] Helmut Krcmar,et al. ProteomicsDB: a multi-omics and multi-organism resource for life science research , 2019, Nucleic Acids Res..
[20] Christopher D. Brown,et al. A Quantitative Proteome Map of the Human Body , 2019, Cell.
[21] M. Schrader,et al. Co-regulation map of the human proteome enables identification of protein functions , 2019, Nature Biotechnology.
[22] Bin Zhang,et al. Large-scale proteomic analysis of Alzheimer’s disease brain and cerebrospinal fluid reveals early changes in energy metabolism associated with microglia and astrocyte activation , 2019, bioRxiv.
[23] J. Barnard,et al. Proteomic Investigations of Autism Brain Identify Known and Novel Pathogenetic Processes , 2019, Scientific Reports.
[24] Lennart Martens,et al. Scop3P: a comprehensive resource of human phosphosites within their full context , 2019, bioRxiv.
[25] Andrew F. Jarnuczak,et al. An integrated landscape of protein expression in human cancer , 2019, bioRxiv.
[26] J. Cox,et al. High-quality MS/MS spectrum prediction for data-dependent and data-independent acquisition data analysis , 2019, Nature Methods.
[27] Lennart Martens,et al. Updated MS²PIP web server delivers fast and accurate MS² peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques , 2019, Nucleic Acids Res..
[28] S. Salamat,et al. Proteomic Atlas of the Human Brain in Alzheimer's Disease. , 2019, Journal of proteome research.
[29] Juan Antonio Vizcaíno,et al. The functional landscape of the human phosphoproteome , 2019, Nature Biotechnology.
[30] Martin Eisenacher,et al. The PRIDE database and related tools and resources in 2019: improving support for quantification data , 2018, Nucleic Acids Res..
[31] Nuno A. Fonseca,et al. ArrayExpress update – from bulk to single-cell expression data , 2018, Nucleic Acids Res..
[32] Nandini A. Sahasrabuddhe,et al. Proteomic Analysis of the Human Anterior Pituitary Gland. , 2018, Omics : a journal of integrative biology.
[33] Samuel H. Payne,et al. Individual Variability of Protein Expression in Human Tissues. , 2018, Journal of proteome research.
[34] Benjamin A. Logsdon,et al. The Mount Sinai cohort of large-scale genomic, transcriptomic and proteomic data in Alzheimer's disease , 2018, Scientific Data.
[35] Mathias Wilhelm,et al. A deep proteome and transcriptome abundance atlas of 29 healthy human tissues , 2018, bioRxiv.
[36] K. Margulies,et al. Suppression of detyrosinated microtubules improves cardiomyocyte function in human heart failure , 2018, Nature Medicine.
[37] Helmut Krcmar,et al. ProteomicsDB , 2017, Nucleic Acids Res..
[38] Philipp E. Geyer,et al. Region and cell-type resolved quantitative proteomic map of the human heart , 2017, Nature Communications.
[39] X. Gallart‐Palau,et al. Brain ureido degenerative protein modifications are associated with neuroinflammation and proteinopathy in Alzheimer’s disease with cerebrovascular disease , 2017, Journal of Neuroinflammation.
[40] D. Cutler,et al. Integrating Next-Generation Genomic Sequencing and Mass Spectrometry To Estimate Allele-Specific Protein Abundance in Human Brain. , 2017, Journal of proteome research.
[41] Guanming Wu,et al. Functional Interaction Network Construction and Analysis for Disease Discovery. , 2017, Methods in molecular biology.
[42] A. Madugundu,et al. Characterization of human pineal gland proteome. , 2016, Molecular bioSystems.
[43] Jüergen Cox,et al. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics , 2016, Nature Protocols.
[44] James A. Eddy,et al. Human whole genome genotype and transcriptome data for Alzheimer’s and other neurodegenerative diseases , 2016, Scientific Data.
[45] A. Stensballe,et al. Proteome stability analysis of snap frozen, RNAlater preserved, and formalin-fixed paraffin-embedded human colon mucosal biopsies , 2016, Data in brief.
[46] H. Shill,et al. Arizona Study of Aging and Neurodegenerative Disorders and Brain and Body Donation Program , 2015, Neuropathology : official journal of the Japanese Society of Neuropathology.
[47] M. Bøgsted,et al. Neutrophil Extracellular Traps in Ulcerative Colitis: A Proteome Analysis of Intestinal Biopsies , 2015, Inflammatory bowel diseases.
[48] Mathias Wilhelm,et al. A Scalable Approach for Protein False Discovery Rate Estimation in Large Proteomic Data Sets , 2015, Molecular & Cellular Proteomics.
[49] G. von Heijne,et al. Tissue-based map of the human proteome , 2015, Science.
[50] Matthew E. Ritchie,et al. limma powers differential expression analyses for RNA-sequencing and microarray studies , 2015, Nucleic acids research.
[51] W. Jaeger,et al. Proteome profiling of breast cancer biopsies reveals a wound healing signature of cancer-associated fibroblasts. , 2014, Journal of proteome research.
[52] B. Kuster,et al. Mass-spectrometry-based draft of the human proteome , 2014, Nature.
[53] Gary D Bader,et al. A draft map of the human proteome , 2014, Nature.
[54] Andrew R. Jones,et al. ProteomeXchange provides globally co-ordinated proteomics data submission and dissemination , 2014, Nature Biotechnology.
[55] C. Turck,et al. Deciphering the human brain proteome: characterization of the anterior temporal lobe and corpus callosum as part of the Chromosome 15-centric Human Proteome Project. , 2014, Journal of proteome research.
[56] A. Brazma,et al. Reuse of public genome-wide gene expression data , 2012, Nature Reviews Genetics.
[57] Guangchuang Yu,et al. clusterProfiler: an R package for comparing biological themes among gene clusters. , 2012, Omics : a journal of integrative biology.
[58] L. Ferrucci,et al. Neuropathologic studies of the Baltimore Longitudinal Study of Aging (BLSA). , 2009, Journal of Alzheimer's disease : JAD.
[59] Ge Li,et al. Neuropathology in the adult changes in thought study: a review. , 2009, Journal of Alzheimer's disease : JAD.
[60] M. Mann,et al. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification , 2008, Nature Biotechnology.
[61] Henry H. N. Lam,et al. PeptideAtlas: a resource for target selection for emerging targeted proteomics workflows , 2008, EMBO reports.
[62] Cheng Li,et al. Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.