GPMDB Data Sources

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==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 16, 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 Jan 24, 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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#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].
#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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#Steindor M, <i>et al.</i> (2019) &quot;A proteomics approach for the identification of species-specific immunogenic proteins in the Mycobacterium abscessus complex.&quot; <i>Microbes Infect</i> <b>21</b>(3-4):154&ndash;162; PMID: [https://pubmed.ncbi.nlm.nih.gov/30445130 30445130]; doi: [https://dx.doi.org/10.1016/j.micinf.2018.10.006 10.1016/j.micinf.2018.10.006]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/30445130 28].
#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].
#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].
#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].
#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].
Line 2,161: Line 2,162:
#Deshmukh AS, <i>et al.</i> (2019) &quot;Proteomics-Based Comparative Mapping of the Secretomes of Human Brown and White Adipocytes Reveals EPDR1 as a Novel Batokine.&quot; <i>Cell Metab</i> <b>30</b>(5):963&ndash;975.e7; PMID: [https://pubmed.ncbi.nlm.nih.gov/31668873 31668873]; doi: [https://dx.doi.org/10.1016/j.cmet.2019.10.001 10.1016/j.cmet.2019.10.001]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31668873 28].
#Deshmukh AS, <i>et al.</i> (2019) &quot;Proteomics-Based Comparative Mapping of the Secretomes of Human Brown and White Adipocytes Reveals EPDR1 as a Novel Batokine.&quot; <i>Cell Metab</i> <b>30</b>(5):963&ndash;975.e7; PMID: [https://pubmed.ncbi.nlm.nih.gov/31668873 31668873]; doi: [https://dx.doi.org/10.1016/j.cmet.2019.10.001 10.1016/j.cmet.2019.10.001]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31668873 28].
#Alvarez Hayes J, <i>et al.</i> (2020) &quot;Hfq modulates global protein pattern and stress response in Bordetella pertussis.&quot; <i>J Proteomics</i> <b>211</b>:103559; PMID: [https://pubmed.ncbi.nlm.nih.gov/31669358 31669358]; doi: [https://dx.doi.org/10.1016/j.jprot.2019.103559 10.1016/j.jprot.2019.103559]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31669358 16].
#Alvarez Hayes J, <i>et al.</i> (2020) &quot;Hfq modulates global protein pattern and stress response in Bordetella pertussis.&quot; <i>J Proteomics</i> <b>211</b>:103559; PMID: [https://pubmed.ncbi.nlm.nih.gov/31669358 31669358]; doi: [https://dx.doi.org/10.1016/j.jprot.2019.103559 10.1016/j.jprot.2019.103559]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31669358 16].
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#Bruschi M, <i>et al.</i> (2019) &quot;Proteomic Analysis of Urinary Extracellular Vesicles Reveals a Role for the Complement System in Medullary Sponge Kidney Disease.&quot; <i>Int J Mol Sci</i> <b>20</b>(21):; PMID: [https://pubmed.ncbi.nlm.nih.gov/31694344 31694344]; doi: [https://dx.doi.org/10.3390/ijms20215517 10.3390/ijms20215517]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31694344 90].
#Walker C, <i>et al.</i> (2020) &quot;Understanding and Eliminating the Detrimental Effect of Thiamine Deficiency on the Oleaginous Yeast Yarrowia lipolytica.&quot; <i>Appl Environ Microbiol</i> <b>86</b>(3):; PMID: [https://pubmed.ncbi.nlm.nih.gov/31704686 31704686]; doi: [https://dx.doi.org/10.1128/AEM.02299-19 10.1128/AEM.02299-19]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31704686 16].
#Walker C, <i>et al.</i> (2020) &quot;Understanding and Eliminating the Detrimental Effect of Thiamine Deficiency on the Oleaginous Yeast Yarrowia lipolytica.&quot; <i>Appl Environ Microbiol</i> <b>86</b>(3):; PMID: [https://pubmed.ncbi.nlm.nih.gov/31704686 31704686]; doi: [https://dx.doi.org/10.1128/AEM.02299-19 10.1128/AEM.02299-19]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31704686 16].
#Sohier P, <i>et al.</i> (2020) &quot;Proteome analysis of formalin-fixed paraffin-embedded colorectal adenomas reveals the heterogeneous nature of traditional serrated adenomas compared to other colorectal adenomas.&quot; <i>J Pathol</i> <b>250</b>(3):251&ndash;261; PMID: [https://pubmed.ncbi.nlm.nih.gov/31729028 31729028]; doi: [https://dx.doi.org/10.1002/path.5366 10.1002/path.5366]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31729028 61].
#Sohier P, <i>et al.</i> (2020) &quot;Proteome analysis of formalin-fixed paraffin-embedded colorectal adenomas reveals the heterogeneous nature of traditional serrated adenomas compared to other colorectal adenomas.&quot; <i>J Pathol</i> <b>250</b>(3):251&ndash;261; PMID: [https://pubmed.ncbi.nlm.nih.gov/31729028 31729028]; doi: [https://dx.doi.org/10.1002/path.5366 10.1002/path.5366]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/31729028 61].
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#Israel S, <i>et al.</i> (2021) &quot;The COP9 signalosome subunit 3 is necessary for early embryo survival by way of a stable protein deposit in mouse oocytes.&quot; <i>Mol Hum Reprod</i> <b>27</b>(8):; PMID: [https://pubmed.ncbi.nlm.nih.gov/34264319 34264319]; doi: [https://dx.doi.org/10.1093/molehr/gaab048 10.1093/molehr/gaab048]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34264319 130].
#Israel S, <i>et al.</i> (2021) &quot;The COP9 signalosome subunit 3 is necessary for early embryo survival by way of a stable protein deposit in mouse oocytes.&quot; <i>Mol Hum Reprod</i> <b>27</b>(8):; PMID: [https://pubmed.ncbi.nlm.nih.gov/34264319 34264319]; doi: [https://dx.doi.org/10.1093/molehr/gaab048 10.1093/molehr/gaab048]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34264319 130].
#Kesavan R, <i>et al.</i> (2021) &quot;The Consequences of Soluble Epoxide Hydrolase Deletion on Tumorigenesis and Metastasis in a Mouse Model of Breast Cancer.&quot; <i>Int J Mol Sci</i> <b>22</b>(13):; PMID: [https://pubmed.ncbi.nlm.nih.gov/34281173 34281173]; doi: [https://dx.doi.org/10.3390/ijms22137120 10.3390/ijms22137120]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34281173 13].
#Kesavan R, <i>et al.</i> (2021) &quot;The Consequences of Soluble Epoxide Hydrolase Deletion on Tumorigenesis and Metastasis in a Mouse Model of Breast Cancer.&quot; <i>Int J Mol Sci</i> <b>22</b>(13):; PMID: [https://pubmed.ncbi.nlm.nih.gov/34281173 34281173]; doi: [https://dx.doi.org/10.3390/ijms22137120 10.3390/ijms22137120]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34281173 13].
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#Skowron MA, <i>et al.</i> (2021) &quot;The signal transducer CD24 suppresses the germ cell program and promotes an ectodermal rather than mesodermal cell fate in embryonal carcinomas.&quot; <i>Mol Oncol</i>; PMID: [https://pubmed.ncbi.nlm.nih.gov/34293822 34293822]; doi: [https://dx.doi.org/10.1002/1878-0261.13066 10.1002/1878-0261.13066]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34293822 8].
#de Azambuja Rodrigues PM, <i>et al.</i> (2021) &quot;Proteomics reveals disturbances in the immune response and energy metabolism of monocytes from patients with septic shock.&quot; <i>Sci Rep</i> <b>11</b>(1):15149; PMID: [https://pubmed.ncbi.nlm.nih.gov/34312428 34312428]; doi: [https://dx.doi.org/10.1038/s41598-021-94474-0 10.1038/s41598-021-94474-0]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34312428 72].
#de Azambuja Rodrigues PM, <i>et al.</i> (2021) &quot;Proteomics reveals disturbances in the immune response and energy metabolism of monocytes from patients with septic shock.&quot; <i>Sci Rep</i> <b>11</b>(1):15149; PMID: [https://pubmed.ncbi.nlm.nih.gov/34312428 34312428]; doi: [https://dx.doi.org/10.1038/s41598-021-94474-0 10.1038/s41598-021-94474-0]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34312428 72].
#Striednig B, <i>et al.</i> (2021) &quot;Quorum sensing governs a transmissive Legionella subpopulation at the pathogen vacuole periphery.&quot; <i>EMBO Rep</i> <b>22</b>(9):e52972; PMID: [https://pubmed.ncbi.nlm.nih.gov/34314090 34314090]; doi: [https://dx.doi.org/10.15252/embr.202152972 10.15252/embr.202152972]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34314090 8].
#Striednig B, <i>et al.</i> (2021) &quot;Quorum sensing governs a transmissive Legionella subpopulation at the pathogen vacuole periphery.&quot; <i>EMBO Rep</i> <b>22</b>(9):e52972; PMID: [https://pubmed.ncbi.nlm.nih.gov/34314090 34314090]; doi: [https://dx.doi.org/10.15252/embr.202152972 10.15252/embr.202152972]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34314090 8].
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#Champagne J, <i>et al.</i> (2021) &quot;Oncogene-dependent sloppiness in mRNA translation.&quot; <i>Mol Cell</i> <b>81</b>(22):4709&ndash;4721.e9; PMID: [https://pubmed.ncbi.nlm.nih.gov/34562372 34562372]; doi: [https://dx.doi.org/10.1016/j.molcel.2021.09.002 10.1016/j.molcel.2021.09.002]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34562372 30].
#Champagne J, <i>et al.</i> (2021) &quot;Oncogene-dependent sloppiness in mRNA translation.&quot; <i>Mol Cell</i> <b>81</b>(22):4709&ndash;4721.e9; PMID: [https://pubmed.ncbi.nlm.nih.gov/34562372 34562372]; doi: [https://dx.doi.org/10.1016/j.molcel.2021.09.002 10.1016/j.molcel.2021.09.002]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34562372 30].
#Gao Z, <i>et al.</i> (2021) &quot;A Quantitative Proteomic Approach for the Identification of DNA Guanine Quadruplex-Binding Proteins.&quot; <i>J Proteome Res</i> <b>20</b>(11):4919&ndash;4924; PMID: [https://pubmed.ncbi.nlm.nih.gov/34570971 34570971]; doi: [https://dx.doi.org/10.1021/acs.jproteome.1c00603 10.1021/acs.jproteome.1c00603]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34570971 30].
#Gao Z, <i>et al.</i> (2021) &quot;A Quantitative Proteomic Approach for the Identification of DNA Guanine Quadruplex-Binding Proteins.&quot; <i>J Proteome Res</i> <b>20</b>(11):4919&ndash;4924; PMID: [https://pubmed.ncbi.nlm.nih.gov/34570971 34570971]; doi: [https://dx.doi.org/10.1021/acs.jproteome.1c00603 10.1021/acs.jproteome.1c00603]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34570971 30].
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#Ahmadov U, <i>et al.</i> (2021) &quot;The long non-coding RNA HOTAIRM1 promotes tumor aggressiveness and radiotherapy resistance in glioblastoma.&quot; <i>Cell Death Dis</i> <b>12</b>(10):885; PMID: [https://pubmed.ncbi.nlm.nih.gov/34584066 34584066]; doi: [https://dx.doi.org/10.1038/s41419-021-04146-0 10.1038/s41419-021-04146-0]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34584066 15].
#Gomkale R, <i>et al.</i> (2021) &quot;Mapping protein interactions in the active TOM-TIM23 supercomplex.&quot; <i>Nat Commun</i> <b>12</b>(1):5715; PMID: [https://pubmed.ncbi.nlm.nih.gov/34588454 34588454]; doi: [https://dx.doi.org/10.1038/s41467-021-26016-1 10.1038/s41467-021-26016-1]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34588454 87].
#Gomkale R, <i>et al.</i> (2021) &quot;Mapping protein interactions in the active TOM-TIM23 supercomplex.&quot; <i>Nat Commun</i> <b>12</b>(1):5715; PMID: [https://pubmed.ncbi.nlm.nih.gov/34588454 34588454]; doi: [https://dx.doi.org/10.1038/s41467-021-26016-1 10.1038/s41467-021-26016-1]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34588454 87].
#Kim M, <i>et al.</i> (2021) &quot;A protein interaction landscape of breast cancer.&quot; <i>Science</i> <b>374</b>(6563):eabf3066; PMID: [https://pubmed.ncbi.nlm.nih.gov/34591612 34591612]; doi: [https://dx.doi.org/10.1126/science.abf3066 10.1126/science.abf3066]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34591612 702].
#Kim M, <i>et al.</i> (2021) &quot;A protein interaction landscape of breast cancer.&quot; <i>Science</i> <b>374</b>(6563):eabf3066; PMID: [https://pubmed.ncbi.nlm.nih.gov/34591612 34591612]; doi: [https://dx.doi.org/10.1126/science.abf3066 10.1126/science.abf3066]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34591612 702].
Line 2,506: Line 2,510:
#Taher L, <i>et al.</i> (2021) &quot;The proteome, not the transcriptome, predicts that oocyte superovulation affects embryonic phenotypes in mice.&quot; <i>Sci Rep</i> <b>11</b>(1):23731; PMID: [https://pubmed.ncbi.nlm.nih.gov/34887460 34887460]; doi: [https://dx.doi.org/10.1038/s41598-021-03054-9 10.1038/s41598-021-03054-9]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34887460 28].
#Taher L, <i>et al.</i> (2021) &quot;The proteome, not the transcriptome, predicts that oocyte superovulation affects embryonic phenotypes in mice.&quot; <i>Sci Rep</i> <b>11</b>(1):23731; PMID: [https://pubmed.ncbi.nlm.nih.gov/34887460 34887460]; doi: [https://dx.doi.org/10.1038/s41598-021-03054-9 10.1038/s41598-021-03054-9]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34887460 28].
#Wang Q, <i>et al.</i> (2021) &quot;Glutamine-fructose-6-phosphate transaminase 2 (GFPT2) is upregulated in breast epithelial-mesenchymal transition and responds to oxidative stress.&quot; <i>Mol Cell Proteomics</i> <b></b>:100185; PMID: [https://pubmed.ncbi.nlm.nih.gov/34923141 34923141]; doi: [https://dx.doi.org/10.1016/j.mcpro.2021.100185 10.1016/j.mcpro.2021.100185]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34923141 32].
#Wang Q, <i>et al.</i> (2021) &quot;Glutamine-fructose-6-phosphate transaminase 2 (GFPT2) is upregulated in breast epithelial-mesenchymal transition and responds to oxidative stress.&quot; <i>Mol Cell Proteomics</i> <b></b>:100185; PMID: [https://pubmed.ncbi.nlm.nih.gov/34923141 34923141]; doi: [https://dx.doi.org/10.1016/j.mcpro.2021.100185 10.1016/j.mcpro.2021.100185]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34923141 32].
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#Key J, <i>et al.</i> (2021) &quot;Inactivity of Peptidase ClpP Causes Primary Accumulation of Mitochondrial Disaggregase ClpX with Its Interacting Nucleoid Proteins, and of mtDNA.&quot; <i>Cells</i> <b>10</b>(12):; PMID: [https://pubmed.ncbi.nlm.nih.gov/34943861 34943861]; doi: [https://dx.doi.org/10.3390/cells10123354 10.3390/cells10123354]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34943861 4].
#Almeida N, <i>et al.</i> (2021) &quot;Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database.&quot; <i>Cancers (Basel)</i> <b>13</b>(24):; PMID: [https://pubmed.ncbi.nlm.nih.gov/34944842 34944842]; doi: [https://dx.doi.org/10.3390/cancers13246224 10.3390/cancers13246224]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34944842 24].
#Almeida N, <i>et al.</i> (2021) &quot;Mapping the Melanoma Plasma Proteome (MPP) Using Single-Shot Proteomics Interfaced with the WiMT Database.&quot; <i>Cancers (Basel)</i> <b>13</b>(24):; PMID: [https://pubmed.ncbi.nlm.nih.gov/34944842 34944842]; doi: [https://dx.doi.org/10.3390/cancers13246224 10.3390/cancers13246224]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34944842 24].
#Kadefors M, <i>et al.</i> (2021) &quot;CD105<sup>+</sup>CD90<sup>+</sup>CD13<sup>+</sup> identifies a clonogenic subset of adventitial lung fibroblasts.&quot; <i>Sci Rep</i> <b>11</b>(1):24417; PMID: [https://pubmed.ncbi.nlm.nih.gov/34952905 34952905]; doi: [https://dx.doi.org/10.1038/s41598-021-03963-9 10.1038/s41598-021-03963-9]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34952905 40].
#Kadefors M, <i>et al.</i> (2021) &quot;CD105<sup>+</sup>CD90<sup>+</sup>CD13<sup>+</sup> identifies a clonogenic subset of adventitial lung fibroblasts.&quot; <i>Sci Rep</i> <b>11</b>(1):24417; PMID: [https://pubmed.ncbi.nlm.nih.gov/34952905 34952905]; doi: [https://dx.doi.org/10.1038/s41598-021-03963-9 10.1038/s41598-021-03963-9]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34952905 40].
#Halkoum R, <i>et al.</i> (2021) &quot;Glyoxal induces senescence in human keratinocytes through oxidative stress and activation of the AKT/FOXO3a/p27<sup>KIP1</sup> pathway.&quot; <i>J Invest Dermatol</i>; PMID: [https://pubmed.ncbi.nlm.nih.gov/34971698 34971698]; doi: [https://dx.doi.org/10.1016/j.jid.2021.12.022 10.1016/j.jid.2021.12.022]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34971698 4].
#Halkoum R, <i>et al.</i> (2021) &quot;Glyoxal induces senescence in human keratinocytes through oxidative stress and activation of the AKT/FOXO3a/p27<sup>KIP1</sup> pathway.&quot; <i>J Invest Dermatol</i>; PMID: [https://pubmed.ncbi.nlm.nih.gov/34971698 34971698]; doi: [https://dx.doi.org/10.1016/j.jid.2021.12.022 10.1016/j.jid.2021.12.022]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34971698 4].
#Perivolidi VI, <i>et al.</i> (2022) &quot;Proteomic Identification of the SLC25A46 Interactome in Transgenic Mice Expressing SLC25A46-FLAG.&quot; <i>J Proteome Res</i>; PMID: [https://pubmed.ncbi.nlm.nih.gov/34983179 34983179]; doi: [https://dx.doi.org/10.1021/acs.jproteome.1c00728 10.1021/acs.jproteome.1c00728]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34983179 24].
#Perivolidi VI, <i>et al.</i> (2022) &quot;Proteomic Identification of the SLC25A46 Interactome in Transgenic Mice Expressing SLC25A46-FLAG.&quot; <i>J Proteome Res</i>; PMID: [https://pubmed.ncbi.nlm.nih.gov/34983179 34983179]; doi: [https://dx.doi.org/10.1021/acs.jproteome.1c00728 10.1021/acs.jproteome.1c00728]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/34983179 24].
 +
#Smyth SP, <i>et al.</i> (2022) &quot;Elucidation of the protein composition of mouse seminal vesicle fluid.&quot; <i>Proteomics</i> <b></b>:e2100227; PMID: [https://pubmed.ncbi.nlm.nih.gov/35014747 35014747]; doi: [https://dx.doi.org/10.1002/pmic.202100227 10.1002/pmic.202100227]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/35014747 5].
 +
#Oom AL, <i>et al.</i> (2022) &quot;Comparative Analysis of T Cell Spatial Proteomics and the Influence of HIV Expression.&quot; <i>Mol Cell Proteomics</i> <b></b>:100194; PMID: [https://pubmed.ncbi.nlm.nih.gov/35017099 35017099]; doi: [https://dx.doi.org/10.1016/j.mcpro.2022.100194 10.1016/j.mcpro.2022.100194]; GPMDB: [https://gpmdb.thegpm.org/data/keyword/35017099 3].

Revision as of 16:01, 24 January 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 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.

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 Jan 24, 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.
  75. Shi L, et al. (2009) "Proteomic investigation of the time course responses of RAW 264.7 macrophages to infection with Salmonella enterica." Infect Immun 77(8):3227–33; PMID: 19528222; doi: 10.1128/IAI.00063-09; GPMDB: 29.
  76. Cox B, et al. (2009) "Comparative systems biology of human and mouse as a tool to guide the modeling of human placental pathology." Mol Syst Biol 5:279; PMID: 19536202; doi: 10.1038/msb.2009.37; GPMDB: 166.
  77. Kentsis A, et al. (2010) "Discovery and validation of urine markers of acute pediatric appendicitis using high-accuracy mass spectrometry." Ann Emerg Med 55(1):62–70.e4; PMID: 19556024; doi: 10.1016/j.annemergmed.2009.04.020; GPMDB: 311.
  78. Lau NC, et al. (2009) "Human Ccr4-Not complexes contain variable deadenylase subunits." Biochem J 422(3):443–53; PMID: 19558367; doi: 10.1042/BJ20090500; GPMDB: 10.
  79. Zivanovic Y, et al. (2009) "Genome analysis and genome-wide proteomics of Thermococcus gammatolerans, the most radioresistant organism known amongst the Archaea." Genome Biol 10(6):R70; PMID: 19558674; doi: 10.1186/gb-2009-10-6-r70; GPMDB: 7.
  80. Alev C, et al. (2009) "Genomic organization of zebra finch alpha and beta globin genes and their expression in primitive and definitive blood in comparison with globins in chicken." Dev Genes Evol 219(7):353–60; PMID: 19609557; doi: 10.1007/s00427-009-0294-8; GPMDB: 8.
  81. Izquierdo L, et al. (2009) "Distinct donor and acceptor specificities of Trypanosoma brucei oligosaccharyltransferases." EMBO J 28(17):2650–61; PMID: 19629045; doi: 10.1038/emboj.2009.203; GPMDB: 1.
  82. Van Hoof D, et al. (2009) "Phosphorylation dynamics during early differentiation of human embryonic stem cells." Cell Stem Cell 5(2):214–26; PMID: 19664995; doi: 10.1016/j.stem.2009.05.021; GPMDB: 12.
  83. Tebbe A, et al. (2009) "Life-style changes of a halophilic archaeon analyzed by quantitative proteomics." Proteomics 9(15):3843–55; PMID: 19670246; doi: 10.1002/pmic.200800944; GPMDB: 43.
  84. Casado-Vela J, et al. (2009) "Comprehensive proteomic analysis of human endometrial fluid aspirate." J Proteome Res 8(10):4622–32; PMID: 19670903; doi: 10.1021/pr9004426; GPMDB: 4.
  85. Charles RC, et al. (2009) "Comparative proteomic analysis of the PhoP regulon in Salmonella enterica serovar Typhi versus Typhimurium." PLoS One 4(9):e6994; PMID: 19746165; doi: 10.1371/journal.pone.0006994; GPMDB: 6.
  86. Pottiez G, et al. (2009) "Understanding the blood-brain barrier using gene and protein expression profiling technologies." Brain Res Rev 62(1):83–98; PMID: 19770003; doi: 10.1016/j.brainresrev.2009.09.004; GPMDB: 6.
  87. Boersema PJ, et al. (2010) "In-depth qualitative and quantitative profiling of tyrosine phosphorylation using a combination of phosphopeptide immunoaffinity purification and stable isotope dimethyl labeling." Mol Cell Proteomics 9(1):84–99; PMID: 19770167; doi: 10.1074/mcp.M900291-MCP200; GPMDB: 4.
  88. Ozlü N, et al. (2010) "Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition." Mol Cell Proteomics 9(2):336–50; PMID: 19786723; doi: 10.1074/mcp.M900308-MCP200; GPMDB: 13.
  89. Johansen E, et al. (2009) "A lectin HPLC method to enrich selectively-glycosylated peptides from complex biological samples." J Vis Exp (32):; PMID: 19798022; doi: 10.3791/1398; GPMDB: 83.
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