GPMDB Data Sources

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Simply because data is made available does not mean that it will be included in GPMDB. The data must be approved our quality control AI for its initial acceptance and it may be rejected subsequently because of either quality or originality concerns.
Simply because data is made available does not mean that it will be included in GPMDB. The data must be approved our quality control AI for its initial acceptance and it may be rejected subsequently because of either quality or originality concerns.
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<b>CAUTION</b>: Many papers contain serious errors in their Methods sections. When using data from the literature, it is important to be skeptical of any experimental parameter (cell line, tissue type, modification reagents, quantitation methoods, etc.) that may impact on your use of the data. We have tried to correct any obvious errors, but there is no way to guarantee that we found them all. When attempting to analyze or reproduce results, keep in mind the likelyhood that even key parts of the experiment methods may have been recorded incorrectly in the associated manuscript, as methods are rarely reviewed properly in the current journal publication process.  
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<b>CAUTION</b>:Many datasets/papers contain serious errors in their metadata/methods sections. When using data from repositories, it is important to be skeptical of any experimental parameter (cell line, tissue type, modification reagents, quantitation methods, etc.) that may impact on your use of the data. We have corrected for as many of these errors as we could detect, but there is no way to be sure that we found them all. When attempting to analyze or reproduce results, keep in mind the likelihood that key parts of the experimental methods may have been recorded incorrectly in the associated metadata or manuscript.
==Data from publications==
==Data from publications==
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The following is a list of data sets with associated PubMed IDs that have supplied data to the GPMDB Project through the data sources mentioned above. The list was current, as of Jan 2, 2022.
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The following is a list of data sets with associated PubMed IDs that have supplied data to the GPMDB Project through the data sources mentioned above. The list was current, as of May 15, 2022.
#Lipton MS, <i>et al.</i> (2002) &quot;Global analysis of the Deinococcus radiodurans proteome by using accurate mass tags.&quot; <i>Proc Natl Acad Sci U S A</i> <b>99</b>(17):11049&ndash;54; PMID: [https://pubmed.ncbi.nlm.nih.gov/12177431 12177431]; doi: [https://dx.doi.org/10.1073/pnas.172170199 10.1073/pnas.172170199]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/12177431 498].
#Lipton MS, <i>et al.</i> (2002) &quot;Global analysis of the Deinococcus radiodurans proteome by using accurate mass tags.&quot; <i>Proc Natl Acad Sci U S A</i> <b>99</b>(17):11049&ndash;54; PMID: [https://pubmed.ncbi.nlm.nih.gov/12177431 12177431]; doi: [https://dx.doi.org/10.1073/pnas.172170199 10.1073/pnas.172170199]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/12177431 498].
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#Wei W, <i>et al.</i> (2016) &quot;Deep Coverage Proteomics Identifies More Low-Abundance Missing Proteins in Human Testis Tissue with Q-Exactive HF Mass Spectrometer.&quot; <i>J Proteome Res</i> <b>15</b>(11):3988&ndash;3997; PMID: [https://pubmed.ncbi.nlm.nih.gov/27535590 27535590]; doi: [https://dx.doi.org/10.1021/acs.jproteome.6b00390 10.1021/acs.jproteome.6b00390]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27535590 150].
#Wei W, <i>et al.</i> (2016) &quot;Deep Coverage Proteomics Identifies More Low-Abundance Missing Proteins in Human Testis Tissue with Q-Exactive HF Mass Spectrometer.&quot; <i>J Proteome Res</i> <b>15</b>(11):3988&ndash;3997; PMID: [https://pubmed.ncbi.nlm.nih.gov/27535590 27535590]; doi: [https://dx.doi.org/10.1021/acs.jproteome.6b00390 10.1021/acs.jproteome.6b00390]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27535590 150].
#Dob&oacute; J, <i>et al.</i> (2016) &quot;MASP-3 is the exclusive pro-factor D activator in resting blood: the lectin and the alternative complement pathways are fundamentally linked.&quot; <i>Sci Rep</i> <b>6</b>:31877; PMID: [https://pubmed.ncbi.nlm.nih.gov/27535802 27535802]; doi: [https://dx.doi.org/10.1038/srep31877 10.1038/srep31877]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27535802 6].
#Dob&oacute; J, <i>et al.</i> (2016) &quot;MASP-3 is the exclusive pro-factor D activator in resting blood: the lectin and the alternative complement pathways are fundamentally linked.&quot; <i>Sci Rep</i> <b>6</b>:31877; PMID: [https://pubmed.ncbi.nlm.nih.gov/27535802 27535802]; doi: [https://dx.doi.org/10.1038/srep31877 10.1038/srep31877]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27535802 6].
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#Zhang P, <i>et al.</i> (2016) &quot;The proteome of normal human retrobulbar optic nerve and sclera.&quot; <i>Proteomics</i> <b>16</b>(19):2592&ndash;2596; PMID: [https://pubmed.ncbi.nlm.nih.gov/27538499 27538499]; doi: [https://dx.doi.org/10.1002/pmic.201600229 10.1002/pmic.201600229]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27538499 65].
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#Zhang P, <i>et al.</i> (2016) &quot;The proteome of normal human retrobulbar optic nerve and sclera.&quot; <i>Proteomics</i> <b>16</b>(19):2592&ndash;2596; PMID: [https://pubmed.ncbi.nlm.nih.gov/27538499 27538499]; doi: [https://dx.doi.org/10.1002/pmic.201600229 10.1002/pmic.201600229]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27538499 125].
#Walley JW, <i>et al.</i> (2016) &quot;Integration of omic networks in a developmental atlas of maize.&quot; <i>Science</i> <b>353</b>(6301):814&ndash;8; PMID: [https://pubmed.ncbi.nlm.nih.gov/27540173 27540173]; doi: [https://dx.doi.org/10.1126/science.aag1125 10.1126/science.aag1125]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27540173 10350].
#Walley JW, <i>et al.</i> (2016) &quot;Integration of omic networks in a developmental atlas of maize.&quot; <i>Science</i> <b>353</b>(6301):814&ndash;8; PMID: [https://pubmed.ncbi.nlm.nih.gov/27540173 27540173]; doi: [https://dx.doi.org/10.1126/science.aag1125 10.1126/science.aag1125]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27540173 10350].
#Xie Y, <i>et al.</i> (2016) &quot;Quantitative profiling of spreading-coupled protein tyrosine phosphorylation in migratory cells.&quot; <i>Sci Rep</i> <b>6</b>:31811; PMID: [https://pubmed.ncbi.nlm.nih.gov/27554326 27554326]; doi: [https://dx.doi.org/10.1038/srep31811 10.1038/srep31811]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27554326 6].
#Xie Y, <i>et al.</i> (2016) &quot;Quantitative profiling of spreading-coupled protein tyrosine phosphorylation in migratory cells.&quot; <i>Sci Rep</i> <b>6</b>:31811; PMID: [https://pubmed.ncbi.nlm.nih.gov/27554326 27554326]; doi: [https://dx.doi.org/10.1038/srep31811 10.1038/srep31811]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27554326 6].
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#Bennike TB, <i>et al.</i> (2017) &quot;Proteome Analysis of Rheumatoid Arthritis Gut Mucosa.&quot; <i>J Proteome Res</i> <b>16</b>(1):346&ndash;354; PMID: [https://pubmed.ncbi.nlm.nih.gov/27627584 27627584]; doi: [https://dx.doi.org/10.1021/acs.jproteome.6b00598 10.1021/acs.jproteome.6b00598]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27627584 33].
#Bennike TB, <i>et al.</i> (2017) &quot;Proteome Analysis of Rheumatoid Arthritis Gut Mucosa.&quot; <i>J Proteome Res</i> <b>16</b>(1):346&ndash;354; PMID: [https://pubmed.ncbi.nlm.nih.gov/27627584 27627584]; doi: [https://dx.doi.org/10.1021/acs.jproteome.6b00598 10.1021/acs.jproteome.6b00598]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27627584 33].
#Altmann C, <i>et al.</i> (2016) &quot;Progranulin overexpression in sensory neurons attenuates neuropathic pain in mice: Role of autophagy.&quot; <i>Neurobiol Dis</i> <b>96</b>:294&ndash;311; PMID: [https://pubmed.ncbi.nlm.nih.gov/27629805 27629805]; doi: [https://dx.doi.org/10.1016/j.nbd.2016.09.010 10.1016/j.nbd.2016.09.010]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27629805 12].
#Altmann C, <i>et al.</i> (2016) &quot;Progranulin overexpression in sensory neurons attenuates neuropathic pain in mice: Role of autophagy.&quot; <i>Neurobiol Dis</i> <b>96</b>:294&ndash;311; PMID: [https://pubmed.ncbi.nlm.nih.gov/27629805 27629805]; doi: [https://dx.doi.org/10.1016/j.nbd.2016.09.010 10.1016/j.nbd.2016.09.010]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27629805 12].
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#Murthy KR, <i>et al.</i> (2016) &quot;A Comprehensive Proteomics Analysis of the Human Iris Tissue: Ready to Embrace Postgenomics Precision Medicine in Ophthalmology?&quot; <i>OMICS</i> <b>20</b>(9):510&ndash;9; PMID: [https://pubmed.ncbi.nlm.nih.gov/27631190 27631190]; doi: [https://dx.doi.org/10.1089/omi.2016.0100 10.1089/omi.2016.0100]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27631190 2].
#Musunuri S, <i>et al.</i> (2016) &quot;Increased Levels of Extracellular Microvesicle Markers and Decreased Levels of Endocytic/Exocytic Proteins in the Alzheimer&#39;s Disease Brain.&quot; <i>J Alzheimers Dis</i> <b>54</b>(4):1671&ndash;1686; PMID: [https://pubmed.ncbi.nlm.nih.gov/27636840 27636840]; doi: [https://dx.doi.org/10.3233/JAD-160271 10.3233/JAD-160271]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27636840 107].
#Musunuri S, <i>et al.</i> (2016) &quot;Increased Levels of Extracellular Microvesicle Markers and Decreased Levels of Endocytic/Exocytic Proteins in the Alzheimer&#39;s Disease Brain.&quot; <i>J Alzheimers Dis</i> <b>54</b>(4):1671&ndash;1686; PMID: [https://pubmed.ncbi.nlm.nih.gov/27636840 27636840]; doi: [https://dx.doi.org/10.3233/JAD-160271 10.3233/JAD-160271]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27636840 107].
#Eyckerman S, <i>et al.</i> (2016) &quot;Intelligent Mixing of Proteomes for Elimination of False Positives in Affinity Purification-Mass Spectrometry.&quot; <i>J Proteome Res</i> <b>15</b>(10):3929&ndash;3937; PMID: [https://pubmed.ncbi.nlm.nih.gov/27640904 27640904]; doi: [https://dx.doi.org/10.1021/acs.jproteome.6b00517 10.1021/acs.jproteome.6b00517]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27640904 95].
#Eyckerman S, <i>et al.</i> (2016) &quot;Intelligent Mixing of Proteomes for Elimination of False Positives in Affinity Purification-Mass Spectrometry.&quot; <i>J Proteome Res</i> <b>15</b>(10):3929&ndash;3937; PMID: [https://pubmed.ncbi.nlm.nih.gov/27640904 27640904]; doi: [https://dx.doi.org/10.1021/acs.jproteome.6b00517 10.1021/acs.jproteome.6b00517]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/27640904 95].
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#Diaz-Vera J, <i>et al.</i> (2017) &quot;A proteomic approach to identify endosomal cargoes controlling cancer invasiveness.&quot; <i>J Cell Sci</i> <b>130</b>(4):697&ndash;711; PMID: [https://pubmed.ncbi.nlm.nih.gov/28062852 28062852]; doi: [https://dx.doi.org/10.1242/jcs.190835 10.1242/jcs.190835]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28062852 106].
#Diaz-Vera J, <i>et al.</i> (2017) &quot;A proteomic approach to identify endosomal cargoes controlling cancer invasiveness.&quot; <i>J Cell Sci</i> <b>130</b>(4):697&ndash;711; PMID: [https://pubmed.ncbi.nlm.nih.gov/28062852 28062852]; doi: [https://dx.doi.org/10.1242/jcs.190835 10.1242/jcs.190835]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28062852 106].
#Pietzner M, <i>et al.</i> (2017) &quot;Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model.&quot; <i>BMC Med</i> <b>15</b>(1):6; PMID: [https://pubmed.ncbi.nlm.nih.gov/28065164 28065164]; doi: [https://dx.doi.org/10.1186/s12916-016-0770-8 10.1186/s12916-016-0770-8]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28065164 80].
#Pietzner M, <i>et al.</i> (2017) &quot;Plasma proteome and metabolome characterization of an experimental human thyrotoxicosis model.&quot; <i>BMC Med</i> <b>15</b>(1):6; PMID: [https://pubmed.ncbi.nlm.nih.gov/28065164 28065164]; doi: [https://dx.doi.org/10.1186/s12916-016-0770-8 10.1186/s12916-016-0770-8]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28065164 80].
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#Kreutz D, <i>et al.</i> (2017) &quot;Response Profiling Using Shotgun Proteomics Enables Global Metallodrug Mechanisms of Action To Be Established.&quot; <i>Chemistry</i> <b>23</b>(8):1881&ndash;1890; PMID: [https://pubmed.ncbi.nlm.nih.gov/28071820 28071820]; doi: [https://dx.doi.org/10.1002/chem.201604516 10.1002/chem.201604516]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28071820 6].
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#Kreutz D, <i>et al.</i> (2017) &quot;Response Profiling Using Shotgun Proteomics Enables Global Metallodrug Mechanisms of Action To Be Established.&quot; <i>Chemistry</i> <b>23</b>(8):1881&ndash;1890; PMID: [https://pubmed.ncbi.nlm.nih.gov/28071820 28071820]; doi: [https://dx.doi.org/10.1002/chem.201604516 10.1002/chem.201604516]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28071820 120].
#Xing F, <i>et al.</i> (2017) &quot;The Anti-Warburg Effect Elicited by the cAMP-PGC1&alpha; Pathway Drives Differentiation of Glioblastoma Cells into Astrocytes.&quot; <i>Cell Rep</i> <b>18</b>(2):468&ndash;481; PMID: [https://pubmed.ncbi.nlm.nih.gov/28076790 28076790]; doi: [https://dx.doi.org/10.1016/j.celrep.2016.12.037 10.1016/j.celrep.2016.12.037]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28076790 60].
#Xing F, <i>et al.</i> (2017) &quot;The Anti-Warburg Effect Elicited by the cAMP-PGC1&alpha; Pathway Drives Differentiation of Glioblastoma Cells into Astrocytes.&quot; <i>Cell Rep</i> <b>18</b>(2):468&ndash;481; PMID: [https://pubmed.ncbi.nlm.nih.gov/28076790 28076790]; doi: [https://dx.doi.org/10.1016/j.celrep.2016.12.037 10.1016/j.celrep.2016.12.037]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28076790 60].
#Loroch S, <i>et al.</i> (2017) &quot;Alterations of the platelet proteome in type I Glanzmann thrombasthenia caused by different homozygous delG frameshift mutations in ITGA2B.&quot; <i>Thromb Haemost</i> <b>117</b>(3):556&ndash;569; PMID: [https://pubmed.ncbi.nlm.nih.gov/28078347 28078347]; doi: [https://dx.doi.org/10.1160/TH16-07-0515 10.1160/TH16-07-0515]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28078347 20].
#Loroch S, <i>et al.</i> (2017) &quot;Alterations of the platelet proteome in type I Glanzmann thrombasthenia caused by different homozygous delG frameshift mutations in ITGA2B.&quot; <i>Thromb Haemost</i> <b>117</b>(3):556&ndash;569; PMID: [https://pubmed.ncbi.nlm.nih.gov/28078347 28078347]; doi: [https://dx.doi.org/10.1160/TH16-07-0515 10.1160/TH16-07-0515]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/28078347 20].
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#Saravanan R, <i>et al.</i> (2017) &quot;Proteolytic signatures define unique thrombin-derived peptides present in human wound fluid in vivo.&quot; <i>Sci Rep</i> <b>7</b>(1):13136; PMID: [https://pubmed.ncbi.nlm.nih.gov/29030565 29030565]; doi: [https://dx.doi.org/10.1038/s41598-017-13197-3 10.1038/s41598-017-13197-3]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29030565 43].
#Saravanan R, <i>et al.</i> (2017) &quot;Proteolytic signatures define unique thrombin-derived peptides present in human wound fluid in vivo.&quot; <i>Sci Rep</i> <b>7</b>(1):13136; PMID: [https://pubmed.ncbi.nlm.nih.gov/29030565 29030565]; doi: [https://dx.doi.org/10.1038/s41598-017-13197-3 10.1038/s41598-017-13197-3]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29030565 43].
#Grenga L, <i>et al.</i> (2017) &quot;Analyzing the Complex Regulatory Landscape of Hfq - an Integrative, Multi-Omics Approach.&quot; <i>Front Microbiol</i> <b>8</b>:1784; PMID: [https://pubmed.ncbi.nlm.nih.gov/29033902 29033902]; doi: [https://dx.doi.org/10.3389/fmicb.2017.01784 10.3389/fmicb.2017.01784]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29033902 1].
#Grenga L, <i>et al.</i> (2017) &quot;Analyzing the Complex Regulatory Landscape of Hfq - an Integrative, Multi-Omics Approach.&quot; <i>Front Microbiol</i> <b>8</b>:1784; PMID: [https://pubmed.ncbi.nlm.nih.gov/29033902 29033902]; doi: [https://dx.doi.org/10.3389/fmicb.2017.01784 10.3389/fmicb.2017.01784]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29033902 1].
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#Solanki HS, <i>et al.</i> (2018) &quot;Cigarette smoke induces mitochondrial metabolic reprogramming in lung cells.&quot; <i>Mitochondrion</i> <b>40</b>:58&ndash;70; PMID: [https://pubmed.ncbi.nlm.nih.gov/29042306 29042306]; doi: [https://dx.doi.org/10.1016/j.mito.2017.10.002 10.1016/j.mito.2017.10.002]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29042306 3].
#Kugeratski FG, <i>et al.</i> (2018) &quot;Mitogen-Activated Protein Kinase Kinase 5 Regulates Proliferation and Biosynthetic Processes in Procyclic Forms of Trypanosoma brucei.&quot; <i>J Proteome Res</i> <b>17</b>(1):108&ndash;118; PMID: [https://pubmed.ncbi.nlm.nih.gov/29043805 29043805]; doi: [https://dx.doi.org/10.1021/acs.jproteome.7b00415 10.1021/acs.jproteome.7b00415]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29043805 15].
#Kugeratski FG, <i>et al.</i> (2018) &quot;Mitogen-Activated Protein Kinase Kinase 5 Regulates Proliferation and Biosynthetic Processes in Procyclic Forms of Trypanosoma brucei.&quot; <i>J Proteome Res</i> <b>17</b>(1):108&ndash;118; PMID: [https://pubmed.ncbi.nlm.nih.gov/29043805 29043805]; doi: [https://dx.doi.org/10.1021/acs.jproteome.7b00415 10.1021/acs.jproteome.7b00415]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29043805 15].
#Bartosova M, <i>et al.</i> (2018) &quot;Complement Activation in Peritoneal Dialysis-Induced Arteriolopathy.&quot; <i>J Am Soc Nephrol</i> <b>29</b>(1):268&ndash;282; PMID: [https://pubmed.ncbi.nlm.nih.gov/29046343 29046343]; doi: [https://dx.doi.org/10.1681/ASN.2017040436 10.1681/ASN.2017040436]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29046343 2].
#Bartosova M, <i>et al.</i> (2018) &quot;Complement Activation in Peritoneal Dialysis-Induced Arteriolopathy.&quot; <i>J Am Soc Nephrol</i> <b>29</b>(1):268&ndash;282; PMID: [https://pubmed.ncbi.nlm.nih.gov/29046343 29046343]; doi: [https://dx.doi.org/10.1681/ASN.2017040436 10.1681/ASN.2017040436]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29046343 2].
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#Kelley RC, <i>et al.</i> (2018) &quot;Advanced aging causes diaphragm functional abnormalities, global proteome remodeling, and loss of mitochondrial cysteine redox flexibility in mice.&quot; <i>Exp Gerontol</i> <b>103</b>:69&ndash;79; PMID: [https://pubmed.ncbi.nlm.nih.gov/29289553 29289553]; doi: [https://dx.doi.org/10.1016/j.exger.2017.12.017 10.1016/j.exger.2017.12.017]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29289553 24].
#Kelley RC, <i>et al.</i> (2018) &quot;Advanced aging causes diaphragm functional abnormalities, global proteome remodeling, and loss of mitochondrial cysteine redox flexibility in mice.&quot; <i>Exp Gerontol</i> <b>103</b>:69&ndash;79; PMID: [https://pubmed.ncbi.nlm.nih.gov/29289553 29289553]; doi: [https://dx.doi.org/10.1016/j.exger.2017.12.017 10.1016/j.exger.2017.12.017]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29289553 24].
#Behr M, <i>et al.</i> (2018) &quot;Insights into the molecular regulation of monolignol-derived product biosynthesis in the growing hemp hypocotyl.&quot; <i>BMC Plant Biol</i> <b>18</b>(1):1; PMID: [https://pubmed.ncbi.nlm.nih.gov/29291729 29291729]; doi: [https://dx.doi.org/10.1186/s12870-017-1213-1 10.1186/s12870-017-1213-1]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29291729 20].
#Behr M, <i>et al.</i> (2018) &quot;Insights into the molecular regulation of monolignol-derived product biosynthesis in the growing hemp hypocotyl.&quot; <i>BMC Plant Biol</i> <b>18</b>(1):1; PMID: [https://pubmed.ncbi.nlm.nih.gov/29291729 29291729]; doi: [https://dx.doi.org/10.1186/s12870-017-1213-1 10.1186/s12870-017-1213-1]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29291729 20].
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#Bruschi M, <i>et al.</i> (2018) &quot;Proteome of Bovine Mitochondria and Rod Outer Segment Disks: Commonalities and Differences.&quot; <i>J Proteome Res</i> <b>17</b>(2):918&ndash;925; PMID: [https://pubmed.ncbi.nlm.nih.gov/29299929 29299929]; doi: [https://dx.doi.org/10.1021/acs.jproteome.7b00741 10.1021/acs.jproteome.7b00741]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29299929 9].
#Ritz D, <i>et al.</i> (2018) &quot;Membranal and Blood-Soluble HLA Class II Peptidome Analyses Using Data-Dependent and Independent Acquisition.&quot; <i>Proteomics</i> <b>18</b>(12):e1700246; PMID: [https://pubmed.ncbi.nlm.nih.gov/29314611 29314611]; doi: [https://dx.doi.org/10.1002/pmic.201700246 10.1002/pmic.201700246]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29314611 27].
#Ritz D, <i>et al.</i> (2018) &quot;Membranal and Blood-Soluble HLA Class II Peptidome Analyses Using Data-Dependent and Independent Acquisition.&quot; <i>Proteomics</i> <b>18</b>(12):e1700246; PMID: [https://pubmed.ncbi.nlm.nih.gov/29314611 29314611]; doi: [https://dx.doi.org/10.1002/pmic.201700246 10.1002/pmic.201700246]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/29314611 27].
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#Gfeller D, <i>et al.</i> (2018) &quot;The Length Distribution and Multiple Specificity of Naturally Presented HLA-I Ligands.&quot; <i>J Immunol</i> <b>201</b>(12):3705&ndash;3716; PMID: [https://pubmed.ncbi.nlm.nih.gov/30429286 30429286]; doi: [https://dx.doi.org/10.4049/jimmunol.1800914 10.4049/jimmunol.1800914]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30429286 11].
#Gfeller D, <i>et al.</i> (2018) &quot;The Length Distribution and Multiple Specificity of Naturally Presented HLA-I Ligands.&quot; <i>J Immunol</i> <b>201</b>(12):3705&ndash;3716; PMID: [https://pubmed.ncbi.nlm.nih.gov/30429286 30429286]; doi: [https://dx.doi.org/10.4049/jimmunol.1800914 10.4049/jimmunol.1800914]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30429286 11].
#Bigenzahn JW, <i>et al.</i> (2018) &quot;LZTR1 is a regulator of RAS ubiquitination and signaling.&quot; <i>Science</i> <b>362</b>(6419):1171&ndash;1177; PMID: [https://pubmed.ncbi.nlm.nih.gov/30442766 30442766]; doi: [https://dx.doi.org/10.1126/science.aap8210 10.1126/science.aap8210]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30442766 20].
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#Cominetti O, <i>et al.</i> (2018) &quot;Obesity shows preserved plasma proteome in large independent clinical cohorts.&quot; <i>Sci Rep</i> <b>8</b>(1):16981; PMID: [https://pubmed.ncbi.nlm.nih.gov/30451909 30451909]; doi: [https://dx.doi.org/10.1038/s41598-018-35321-7 10.1038/s41598-018-35321-7]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30451909 318].
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#Narzt MS, <i>et al.</i> (2019) &quot;A novel role for NUPR1 in the keratinocyte stress response to UV oxidized phospholipids.&quot; <i>Redox Biol</i> <b>20</b>:467&ndash;482; PMID: [https://pubmed.ncbi.nlm.nih.gov/30466060 30466060]; doi: [https://dx.doi.org/10.1016/j.redox.2018.11.006 10.1016/j.redox.2018.11.006]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30466060 18].
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#Giovani PA, <i>et al.</i> (2019) &quot;Membrane proteome characterization of periodontal ligament cell sets from deciduous and permanent teeth.&quot; <i>J Periodontol</i> <b>90</b>(7):775&ndash;787; PMID: [https://pubmed.ncbi.nlm.nih.gov/30499115 30499115]; doi: [https://dx.doi.org/10.1002/JPER.18-0217 10.1002/JPER.18-0217]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30499115 6].
#Giovani PA, <i>et al.</i> (2019) &quot;Membrane proteome characterization of periodontal ligament cell sets from deciduous and permanent teeth.&quot; <i>J Periodontol</i> <b>90</b>(7):775&ndash;787; PMID: [https://pubmed.ncbi.nlm.nih.gov/30499115 30499115]; doi: [https://dx.doi.org/10.1002/JPER.18-0217 10.1002/JPER.18-0217]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30499115 6].
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#Xiong F, <i>et al.</i> (2019) &quot;Quantitative proteomics reveals distinct composition of amyloid plaques in Alzheimer&#39;s disease.&quot; <i>Alzheimers Dement</i> <b>15</b>(3):429&ndash;440; PMID: [https://pubmed.ncbi.nlm.nih.gov/30502339 30502339]; doi: [https://dx.doi.org/10.1016/j.jalz.2018.10.006 10.1016/j.jalz.2018.10.006]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30502339 1].
#Wolf A, <i>et al.</i> (2018) &quot;Olfactory cleft proteome does not reflect olfactory performance in patients with idiopathic and postinfectious olfactory disorder: A pilot study.&quot; <i>Sci Rep</i> <b>8</b>(1):17554; PMID: [https://pubmed.ncbi.nlm.nih.gov/30510230 30510230]; doi: [https://dx.doi.org/10.1038/s41598-018-35776-8 10.1038/s41598-018-35776-8]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30510230 21].
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#Liu Z, <i>et al.</i> (2019) &quot;Integrative Transcriptome and Proteome Analysis Identifies Major Metabolic Pathways Involved in Pepper Fruit Development.&quot; <i>J Proteome Res</i> <b>18</b>(3):982&ndash;994; PMID: [https://pubmed.ncbi.nlm.nih.gov/30650966 30650966]; doi: [https://dx.doi.org/10.1021/acs.jproteome.8b00673 10.1021/acs.jproteome.8b00673]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30650966 24].
#Liu Z, <i>et al.</i> (2019) &quot;Integrative Transcriptome and Proteome Analysis Identifies Major Metabolic Pathways Involved in Pepper Fruit Development.&quot; <i>J Proteome Res</i> <b>18</b>(3):982&ndash;994; PMID: [https://pubmed.ncbi.nlm.nih.gov/30650966 30650966]; doi: [https://dx.doi.org/10.1021/acs.jproteome.8b00673 10.1021/acs.jproteome.8b00673]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30650966 24].
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#Tsukada T, <i>et al.</i> (2019) &quot;Identification of TGF&beta;-induced proteins in non-endocrine mouse pituitary cell line TtT/GF by SILAC-assisted quantitative mass spectrometry.&quot; <i>Cell Tissue Res</i> <b>376</b>(2):281&ndash;293; PMID: [https://pubmed.ncbi.nlm.nih.gov/30666536 30666536]; doi: [https://dx.doi.org/10.1007/s00441-018-02989-2 10.1007/s00441-018-02989-2]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30666536 11].
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#Hurcombe JA, <i>et al.</i> (2019) &quot;Podocyte GSK3 is an evolutionarily conserved critical regulator of kidney function.&quot; <i>Nat Commun</i> <b>10</b>(1):403; PMID: [https://pubmed.ncbi.nlm.nih.gov/30679422 30679422]; doi: [https://dx.doi.org/10.1038/s41467-018-08235-1 10.1038/s41467-018-08235-1]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30679422 1].
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#Huang S, <i>et al.</i> (2019) &quot;Comprehensive and combined omics analysis reveals factors of ischemia-reperfusion injury in liver transplantation.&quot; <i>Epigenomics</i> <b>11</b>(5):527&ndash;542; PMID: [https://pubmed.ncbi.nlm.nih.gov/30700158 30700158]; doi: [https://dx.doi.org/10.2217/epi-2018-0189 10.2217/epi-2018-0189]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30700158 3].
#Dayon L, <i>et al.</i> (2019) &quot;Proteomes of Paired Human Cerebrospinal Fluid and Plasma: Relation to Blood-Brain Barrier Permeability in Older Adults.&quot; <i>J Proteome Res</i> <b>18</b>(3):1162&ndash;1174; PMID: [https://pubmed.ncbi.nlm.nih.gov/30702894 30702894]; doi: [https://dx.doi.org/10.1021/acs.jproteome.8b00809 10.1021/acs.jproteome.8b00809]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30702894 128].
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#McKetney J, <i>et al.</i> (2019) &quot;Proteomic Atlas of the Human Brain in Alzheimer&#39;s Disease.&quot; <i>J Proteome Res</i> <b>18</b>(3):1380&ndash;1391; PMID: [https://pubmed.ncbi.nlm.nih.gov/30735395 30735395]; doi: [https://dx.doi.org/10.1021/acs.jproteome.9b00004 10.1021/acs.jproteome.9b00004]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30735395 22].
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#Lignitto L, <i>et al.</i> (2019) &quot;Nrf2 Activation Promotes Lung Cancer Metastasis by Inhibiting the Degradation of Bach1.&quot; <i>Cell</i> <b>178</b>(2):316&ndash;329.e18; PMID: [https://pubmed.ncbi.nlm.nih.gov/31257023 31257023]; doi: [https://dx.doi.org/10.1016/j.cell.2019.06.003 10.1016/j.cell.2019.06.003]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31257023 1].
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#Pierre N, <i>et al.</i> (2020) &quot;Proteomics Highlights Common and Distinct Pathophysiological Processes Associated with Ileal and Colonic Ulcers in Crohn&#39;s Disease.&quot; <i>J Crohns Colitis</i> <b>14</b>(2):205&ndash;215; PMID: [https://pubmed.ncbi.nlm.nih.gov/31282946 31282946]; doi: [https://dx.doi.org/10.1093/ecco-jcc/jjz130 10.1093/ecco-jcc/jjz130]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31282946 96].
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#Sethi MK, <i>et al.</i> (2022) &quot;In-Depth Matrisome and Glycoproteomic Analysis of Human Brain Glioblastoma Versus Control Tissue.&quot; <i>Mol Cell Proteomics</i> <b>21</b>(4):100216; PMID: [https://pubmed.ncbi.nlm.nih.gov/35202840 35202840]; doi: [https://dx.doi.org/10.1016/j.mcpro.2022.100216 10.1016/j.mcpro.2022.100216]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/35202840 42].
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#Murugesan G, <i>et al.</i> (2022) &quot;Quantitative Proteomics of Polarised Macrophages Derived from Induced Pluripotent Stem Cells.&quot; <i>Biomedicines</i> <b>10</b>(2):; PMID: [https://pubmed.ncbi.nlm.nih.gov/35203449 35203449]; doi: [https://dx.doi.org/10.3390/biomedicines10020239 10.3390/biomedicines10020239]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/35203449 19].
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#Pazzaglia S, <i>et al.</i> (2022) &quot;Micro-RNA and Proteomic Profiles of Plasma-Derived Exosomes from Irradiated Mice Reveal Molecular Changes Preventing Apoptosis in Neonatal Cerebellum.&quot; <i>Int J Mol Sci</i> <b>23</b>(4):; PMID: [https://pubmed.ncbi.nlm.nih.gov/35216284 35216284]; doi: [https://dx.doi.org/10.3390/ijms23042169 10.3390/ijms23042169]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/35216284 9].
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#Jones G, <i>et al.</i> (2022) &quot;Comparison of Different Mass Spectrometry Workflows for the Proteomic Analysis of Tear Fluid.&quot; <i>Int J Mol Sci</i> <b>23</b>(4):; PMID: [https://pubmed.ncbi.nlm.nih.gov/35216421 35216421]; doi: [https://dx.doi.org/10.3390/ijms23042307 10.3390/ijms23042307]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/35216421 44].
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#COvid-19 Multi-omics Blood ATlas (COMBAT) Consortium. Electronic address: julian.knight@well.ox.ac.uk., <i>et al.</i> (2022) &quot;A blood atlas of COVID-19 defines hallmarks of disease severity and specificity.&quot; <i>Cell</i> <b>185</b>(5):916&ndash;938.e58; PMID: [https://pubmed.ncbi.nlm.nih.gov/35216673 35216673]; doi: [https://dx.doi.org/10.1016/j.cell.2022.01.012 10.1016/j.cell.2022.01.012]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/35216673 559].
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Revision as of 19:05, 15 May 2022

GPMDB was originally constructed to serve as a reference work for all publicly available proteomics generated using tandem mass spectrometry. Public data is downloaded and reanalyzed using the current version of X! Tandem. The result files generated by the reanalysis and the relevant metadata are imported into the database and made available through the associated web site, ftp site and REST interfaces.

Contents

Current Public Data Sources

The following public data repositories are checked daily for new suitable raw data for reanalysis:

  1. ProteomeXchange/PRIDE;
  2. JPOST;
  3. MASSIVE;
  4. PeptideAtlas/PASSEL;
  5. ProteomicsDB;
  6. The Chorus Project; and
  7. iProX.

Data made available from specific large projects, such as CPTAC or the Human Proteome Atlas, are also included when they are made available. Every effort is made so that reanalyzed results from all data sources are made available within 48 hours of their being released. In addition, data from lab web sites, ftp sites and direct contributions through the GPM sites made available to researchers are imported into GPMDB as part of a daily incremental update process.

Previous Data Sources

GPMDB has been in operation since Jan. 1, 2004. Several large data source repositories have come into existence and ceased activity in the period since that time. All of the data from those repositories (e.g., TRANCHE, Peptidome) were reanalyzed and stored in GPMDB and they are still available even though the source repository sites are no longer active.

Review process

Simply because data is made available does not mean that it will be included in GPMDB. The data must be approved our quality control AI for its initial acceptance and it may be rejected subsequently because of either quality or originality concerns.

CAUTION:Many datasets/papers contain serious errors in their metadata/methods sections. When using data from repositories, it is important to be skeptical of any experimental parameter (cell line, tissue type, modification reagents, quantitation methods, etc.) that may impact on your use of the data. We have corrected for as many of these errors as we could detect, but there is no way to be sure that we found them all. When attempting to analyze or reproduce results, keep in mind the likelihood that key parts of the experimental methods may have been recorded incorrectly in the associated metadata or manuscript.

Data from publications

The following is a list of data sets with associated PubMed IDs that have supplied data to the GPMDB Project through the data sources mentioned above. The list was current, as of May 15, 2022.

  1. Lipton MS, et al. (2002) "Global analysis of the Deinococcus radiodurans proteome by using accurate mass tags." Proc Natl Acad Sci U S A 99(17):11049–54; PMID: 12177431; doi: 10.1073/pnas.172170199; GPMDB: 498.
  2. Liu T, et al. (2004) "High-throughput comparative proteome analysis using a quantitative cysteinyl-peptide enrichment technology." Anal Chem 76(18):5345–53; PMID: 15362891; doi: 10.1021/ac049485q; GPMDB: 6.
  3. Sauer G, et al. (2005) "Proteome analysis of the human mitotic spindle." Mol Cell Proteomics 4(1):35–43; PMID: 15561729; doi: 10.1074/mcp.M400158-MCP200; GPMDB: 1.
  4. Klein C, et al. (2005) "The membrane proteome of Halobacterium salinarum." Proteomics 5(1):180–97; PMID: 15619294; doi: 10.1002/pmic.200400943; GPMDB: 37.
  5. Searle BC, et al. (2005) "Identification of protein modifications using MS/MS de novo sequencing and the OpenSea alignment algorithm." J Proteome Res 4(2):546–54; PMID: 15822933; doi: 10.1021/pr049781j; GPMDB: 4.
  6. Elias JE, et al. (2005) "Comparative evaluation of mass spectrometry platforms used in large-scale proteomics investigations." Nat Methods 2(9):667–75; PMID: 16118637; doi: 10.1038/nmeth785; GPMDB: 30.
  7. Lee YJ, et al. (2006) "Proteome analysis of human hair shaft: from protein identification to posttranslational modification." Mol Cell Proteomics 5(5):789–800; PMID: 16446289; doi: 10.1074/mcp.M500278-MCP200; GPMDB: 75.
  8. Gatlin CL, et al. (2006) "Proteomic profiling of cell envelope-associated proteins from Staphylococcus aureus." Proteomics 6(5):1530–49; PMID: 16470658; doi: 10.1002/pmic.200500253; GPMDB: 1603.
  9. Keshamouni VG, et al. (2006) "Differential protein expression profiling by iTRAQ-2DLC-MS/MS of lung cancer cells undergoing epithelial-mesenchymal transition reveals a migratory/invasive phenotype." J Proteome Res 5(5):1143–54; PMID: 16674103; doi: 10.1021/pr050455t; GPMDB: 3.
  10. Bisle B, et al. (2006) "Quantitative profiling of the membrane proteome in a halophilic archaeon." Mol Cell Proteomics 5(9):1543–58; PMID: 16804162; doi: 10.1074/mcp.M600106-MCP200; GPMDB: 32.
  11. Hamacher M, et al. (2006) "HUPO Brain Proteome Project: summary of the pilot phase and introduction of a comprehensive data reprocessing strategy." Proteomics 6(18):4890–8; PMID: 16927433; doi: 10.1002/pmic.200600295; GPMDB: 296.
  12. Beausoleil SA, et al. (2006) "A probability-based approach for high-throughput protein phosphorylation analysis and site localization." Nat Biotechnol 24(10):1285–92; PMID: 16964243; doi: 10.1038/nbt1240; GPMDB: 31.
  13. Whitehead K, et al. (2006) "An integrated systems approach for understanding cellular responses to gamma radiation." Mol Syst Biol 2:47; PMID: 16969339; doi: 10.1038/msb4100091; GPMDB: 27.
  14. Price TS, et al. (2007) "EBP, a program for protein identification using multiple tandem mass spectrometry datasets." Mol Cell Proteomics 6(3):527–36; PMID: 17164401; doi: 10.1074/mcp.T600049-MCP200; GPMDB: 314.
  15. Tanner S, et al. (2007) "Improving gene annotation using peptide mass spectrometry." Genome Res 17(2):231–9; PMID: 17189379; doi: 10.1101/gr.5646507; GPMDB: 1.
  16. Konstantinidis K, et al. (2007) "Genome-wide proteomics of Natronomonas pharaonis." J Proteome Res 6(1):185–93; PMID: 17203963; doi: 10.1021/pr060352q; GPMDB: 176.
  17. Villén J, et al. (2007) "Large-scale phosphorylation analysis of mouse liver." Proc Natl Acad Sci U S A 104(5):1488–93; PMID: 17242355; doi: 10.1073/pnas.0609836104; GPMDB: 1.
  18. Klein C, et al. (2007) "The low molecular weight proteome of Halobacterium salinarum." J Proteome Res 6(4):1510–8; PMID: 17326674; doi: 10.1021/pr060634q; GPMDB: 10.
  19. Asara JM, et al. (2007) "Protein sequences from mastodon and Tyrannosaurus rex revealed by mass spectrometry." Science 316(5822):280–5; PMID: 17431180; doi: 10.1126/science.1137614; GPMDB: 2.
  20. Lowery DM, et al. (2007) "Proteomic screen defines the Polo-box domain interactome and identifies Rock2 as a Plk1 substrate." EMBO J 26(9):2262–73; PMID: 17446864; doi: 10.1038/sj.emboj.7601683; GPMDB: 24.
  21. Brunner E, et al. (2007) "A high-quality catalog of the Drosophila melanogaster proteome." Nat Biotechnol 25(5):576–83; PMID: 17450130; doi: 10.1038/nbt1300; GPMDB: 1907.
  22. Wu L, et al. (2007) "Global survey of human T leukemic cells by integrating proteomics and transcriptomics profiling." Mol Cell Proteomics 6(8):1343–53; PMID: 17519225; doi: 10.1074/mcp.M700017-MCP200; GPMDB: 2299.
  23. Au CE, et al. (2007) "Organellar proteomics to create the cell map." Curr Opin Cell Biol 19(4):376–85; PMID: 17689063; doi: 10.1016/j.ceb.2007.05.004; GPMDB: 4090.
  24. Whiteaker JR, et al. (2007) "Integrated pipeline for mass spectrometry-based discovery and confirmation of biomarkers demonstrated in a mouse model of breast cancer." J Proteome Res 6(10):3962–75; PMID: 17711321; doi: 10.1021/pr070202v; GPMDB: 84.
  25. Bantscheff M, et al. (2007) "Quantitative chemical proteomics reveals mechanisms of action of clinical ABL kinase inhibitors." Nat Biotechnol 25(9):1035–44; PMID: 17721511; doi: 10.1038/nbt1328; GPMDB: 729.
  26. Padliya ND, et al. (2007) "Tandem mass spectrometry for the detection of plant pathogenic fungi and the effects of database composition on protein inferences." Proteomics 7(21):3932–42; PMID: 17922518; doi: 10.1002/pmic.200700419; GPMDB: 1.
  27. Rikova K, et al. (2007) "Global survey of phosphotyrosine signaling identifies oncogenic kinases in lung cancer." Cell 131(6):1190–203; PMID: 18083107; doi: 10.1016/j.cell.2007.11.025; GPMDB: 104.
  28. Ansong C, et al. (2008) "Proteomics analysis of the causative agent of typhoid fever." J Proteome Res 7(2):546–57; PMID: 18166006; doi: 10.1021/pr070434u; GPMDB: 313.
  29. Finney GL, et al. (2008) "Label-free comparative analysis of proteomics mixtures using chromatographic alignment of high-resolution muLC-MS data." Anal Chem 80(4):961–71; PMID: 18189369; doi: 10.1021/ac701649e; GPMDB: 12.
  30. Stevens SM Jr, et al. (2008) "Proteomic analysis of mouse brain microsomes: identification and bioinformatic characterization of endoplasmic reticulum proteins in the mammalian central nervous system." J Proteome Res 7(3):1046–54; PMID: 18271522; doi: 10.1021/pr7006279; GPMDB: 4.
  31. Yocum AK, et al. (2008) "Coupled global and targeted proteomics of human embryonic stem cells during induced differentiation." Mol Cell Proteomics 7(4):750–67; PMID: 18304949; doi: 10.1074/mcp.M700399-MCP200; GPMDB: 18.
  32. Lemeer S, et al. (2008) "Online automated in vivo zebrafish phosphoproteomics: from large-scale analysis down to a single embryo." J Proteome Res 7(4):1555–64; PMID: 18307296; doi: 10.1021/pr700667w; GPMDB: 148.
  33. Zhai B, et al. (2008) "Phosphoproteome analysis of Drosophila melanogaster embryos." J Proteome Res 7(4):1675–82; PMID: 18327897; doi: 10.1021/pr700696a; GPMDB: 24.
  34. Denny P, et al. (2008) "The proteomes of human parotid and submandibular/sublingual gland salivas collected as the ductal secretions." J Proteome Res 7(5):1994–2006; PMID: 18361515; doi: 10.1021/pr700764j; GPMDB: 102.
  35. Simó C, et al. (2008) "Performance of combinatorial peptide libraries in capturing the low-abundance proteome of red blood cells. 1. Behavior of mono- to hexapeptides." Anal Chem 80(10):3547–56; PMID: 18399644; doi: 10.1021/ac702635v; GPMDB: 19.
  36. Bachi A, et al. (2008) "Performance of combinatorial peptide libraries in capturing the low-abundance proteome of red blood cells. 2. Behavior of resins containing individual amino acids." Anal Chem 80(10):3557–65; PMID: 18410134; doi: 10.1021/ac8001353; GPMDB: 2.
  37. Baerenfaller K, et al. (2008) "Genome-scale proteomics reveals Arabidopsis thaliana gene models and proteome dynamics." Science 320(5878):938–41; PMID: 18436743; doi: 10.1126/science.1157956; GPMDB: 28.
  38. Ji H, et al. (2008) "Difference gel electrophoresis analysis of Ras-transformed fibroblast cell-derived exosomes." Electrophoresis 29(12):2660–71; PMID: 18494037; doi: 10.1002/elps.200800015; GPMDB: 26.
  39. Cao Z, et al. (2008) "Use of fluorescence-activated vesicle sorting for isolation of Naked2-associated, basolaterally targeted exocytic vesicles for proteomics analysis." Mol Cell Proteomics 7(9):1651–67; PMID: 18504258; doi: 10.1074/mcp.M700155-MCP200; GPMDB: 6.
  40. Lemeer S, et al. (2008) "Comparative phosphoproteomics of zebrafish Fyn/Yes morpholino knockdown embryos." Mol Cell Proteomics 7(11):2176–87; PMID: 18550893; doi: 10.1074/mcp.M800081-MCP200; GPMDB: 31.
  41. Sodek KL, et al. (2008) "Identification of pathways associated with invasive behavior by ovarian cancer cells using multidimensional protein identification technology (MudPIT)." Mol Biosyst 4(7):762–73; PMID: 18563251; doi: 10.1039/b717542f; GPMDB: 252.
  42. Schimmel J, et al. (2008) "The ubiquitin-proteasome system is a key component of the SUMO-2/3 cycle." Mol Cell Proteomics 7(11):2107–22; PMID: 18565875; doi: 10.1074/mcp.M800025-MCP200; GPMDB: 5.
  43. Yu MJ, et al. (2008) "Large-scale quantitative LC-MS/MS analysis of detergent-resistant membrane proteins from rat renal collecting duct." Am J Physiol Cell Physiol 295(3):C661–78; PMID: 18596208; doi: 10.1152/ajpcell.90650.2007; GPMDB: 137.
  44. Pagliarini DJ, et al. (2008) "A mitochondrial protein compendium elucidates complex I disease biology." Cell 134(1):112–23; PMID: 18614015; doi: 10.1016/j.cell.2008.06.016; GPMDB: 274.
  45. Merrihew GE, et al. (2008) "Use of shotgun proteomics for the identification, confirmation, and correction of C. elegans gene annotations." Genome Res 18(10):1660–9; PMID: 18653799; doi: 10.1101/gr.077644.108; GPMDB: 369.
  46. Dix MM, et al. (2008) "Global mapping of the topography and magnitude of proteolytic events in apoptosis." Cell 134(4):679–91; PMID: 18724940; doi: 10.1016/j.cell.2008.06.038; GPMDB: 178.
  47. Kline KG, et al. (2008) "High quality catalog of proteotypic peptides from human heart." J Proteome Res 7(11):5055–61; PMID: 18803417; doi: 10.1021/pr800239e; GPMDB: 96.
  48. de Godoy LM, et al. (2008) "Comprehensive mass-spectrometry-based proteome quantification of haploid versus diploid yeast." Nature 455(7217):1251–4; PMID: 18820680; doi: 10.1038/nature07341; GPMDB: 505.
  49. Liao L, et al. (2008) "Quantitative proteomic analysis of primary neurons reveals diverse changes in synaptic protein content in fmr1 knockout mice." Proc Natl Acad Sci U S A 105(40):15281–6; PMID: 18829439; doi: 10.1073/pnas.0804678105; GPMDB: 15.
  50. Lin MK, et al. (2009) "Analysis of the pumpkin phloem proteome provides insights into angiosperm sieve tube function." Mol Cell Proteomics 8(2):343–56; PMID: 18936055; doi: 10.1074/mcp.M800420-MCP200; GPMDB: 346.
  51. Slebos RJ, et al. (2008) "Evaluation of strong cation exchange versus isoelectric focusing of peptides for multidimensional liquid chromatography-tandem mass spectrometry." J Proteome Res 7(12):5286–94; PMID: 18939861; doi: 10.1021/pr8004666; GPMDB: 346.
  52. Mittler G, et al. (2009) "A SILAC-based DNA protein interaction screen that identifies candidate binding proteins to functional DNA elements." Genome Res 19(2):284–93; PMID: 19015324; doi: 10.1101/gr.081711.108; GPMDB: 7.
  53. Codreanu SG, et al. (2009) "Global analysis of protein damage by the lipid electrophile 4-hydroxy-2-nonenal." Mol Cell Proteomics 8(4):670–80; PMID: 19054759; doi: 10.1074/mcp.M800070-MCP200; GPMDB: 168.
  54. Ulintz PJ, et al. (2009) "Comparison of MS(2)-only, MSA, and MS(2)/MS(3) methodologies for phosphopeptide identification." J Proteome Res 8(2):887–99; PMID: 19072539; doi: 10.1021/pr800535h; GPMDB: 18.
  55. Du J, et al. (2009) "Bead-based profiling of tyrosine kinase phosphorylation identifies SRC as a potential target for glioblastoma therapy." Nat Biotechnol 27(1):77–83; PMID: 19098899; doi: 10.1038/nbt.1513; GPMDB: 36.
  56. Glatter T, et al. (2009) "An integrated workflow for charting the human interaction proteome: insights into the PP2A system." Mol Syst Biol 5:237; PMID: 19156129; doi: 10.1038/msb.2008.75; GPMDB: 62.
  57. Bivi N, et al. (2009) "Transcriptome and proteome analysis of osteocytes treated with nitrogen-containing bisphosphonates." J Proteome Res 8(3):1131–42; PMID: 19226166; doi: 10.1021/pr8005606; GPMDB: 10.
  58. Pieper R, et al. (2009) "Integral and peripheral association of proteins and protein complexes with Yersinia pestis inner and outer membranes." Proteome Sci 7:5; PMID: 19228400; doi: 10.1186/1477-5956-7-5; GPMDB: 376.
  59. de Sousa Abreu R, et al. (2009) "Genomic analyses of musashi1 downstream targets show a strong association with cancer-related processes." J Biol Chem 284(18):12125–35; PMID: 19258308; doi: 10.1074/jbc.M809605200; GPMDB: 14.
  60. Mathias RA, et al. (2009) "Secretome-based proteomic profiling of Ras-transformed MDCK cells reveals extracellular modulators of epithelial-mesenchymal transition." J Proteome Res 8(6):2827–37; PMID: 19296674; doi: 10.1021/pr8010974; GPMDB: 98.
  61. Boersema PJ, et al. (2009) "Multiplex peptide stable isotope dimethyl labeling for quantitative proteomics." Nat Protoc 4(4):484–94; PMID: 19300442; doi: 10.1038/nprot.2009.21; GPMDB: 3.
  62. Ramakrishnan SR, et al. (2009) "Integrating shotgun proteomics and mRNA expression data to improve protein identification." Bioinformatics 25(11):1397–403; PMID: 19318424; doi: 10.1093/bioinformatics/btp168; GPMDB: 8.
  63. Rudomin EL, et al. (2009) "Directed sample interrogation utilizing an accurate mass exclusion-based data-dependent acquisition strategy (AMEx)." J Proteome Res 8(6):3154–60; PMID: 19344186; doi: 10.1021/pr801017a; GPMDB: 11.
  64. Steiling K, et al. (2009) "Comparison of proteomic and transcriptomic profiles in the bronchial airway epithelium of current and never smokers." PLoS One 4(4):e5043; PMID: 19357784; doi: 10.1371/journal.pone.0005043; GPMDB: 589.
  65. Hjelmervik TO, et al. (2009) "The minor salivary gland proteome in Sjögren's syndrome." Oral Dis 15(5):342–53; PMID: 19364392; doi: 10.1111/j.1601-0825.2009.01531.x; GPMDB: 2.
  66. Zanivan S, et al. (2008) "Solid tumor proteome and phosphoproteome analysis by high resolution mass spectrometry." J Proteome Res 7(12):5314–26; PMID: 19367708; doi: 10.1021/pr800599n; GPMDB: 20.
  67. Reiland S, et al. (2009) "Large-scale Arabidopsis phosphoproteome profiling reveals novel chloroplast kinase substrates and phosphorylation networks." Plant Physiol 150(2):889–903; PMID: 19376835; doi: 10.1104/pp.109.138677; GPMDB: 13.
  68. Parker KC, et al. (2009) "Characterization of human skeletal muscle biopsy samples using shotgun proteomics." J Proteome Res 8(7):3265–77; PMID: 19382779; doi: 10.1021/pr800873q; GPMDB: 36.
  69. Bell AW, et al. (2009) "A HUPO test sample study reveals common problems in mass spectrometry-based proteomics." Nat Methods 6(6):423–30; PMID: 19448641; doi: 10.1038/nmeth.1333; GPMDB: 14.
  70. Fernández E, et al. (2009) "Targeted tandem affinity purification of PSD-95 recovers core postsynaptic complexes and schizophrenia susceptibility proteins." Mol Syst Biol 5:269; PMID: 19455133; doi: 10.1038/msb.2009.27; GPMDB: 70.
  71. Sprung RW Jr, et al. (2009) "Equivalence of protein inventories obtained from formalin-fixed paraffin-embedded and frozen tissue in multidimensional liquid chromatography-tandem mass spectrometry shotgun proteomic analysis." Mol Cell Proteomics 8(8):1988–98; PMID: 19467989; doi: 10.1074/mcp.M800518-MCP200; GPMDB: 230.
  72. Burkard ME, et al. (2009) "Plk1 self-organization and priming phosphorylation of HsCYK-4 at the spindle midzone regulate the onset of division in human cells." PLoS Biol 7(5):e1000111; PMID: 19468302; doi: 10.1371/journal.pbio.1000111; GPMDB: 1.
  73. Samaee SM, et al. (2009) "Quantitative composition of vitellogenin-derived yolk proteins and their effects on viability of embryos and larvae of common dentex (Dentex dentex), a marine pelagophil teleost." J Exp Zool A Ecol Genet Physiol 311(7):504–20; PMID: 19492308; doi: 10.1002/jez.548; GPMDB: 4.
  74. Ma ZQ, et al. (2009) "IDPicker 2.0: Improved protein assembly with high discrimination peptide identification filtering." J Proteome Res 8(8):3872–81; PMID: 19522537; doi: 10.1021/pr900360j; GPMDB: 18.
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