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Proteome

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306:. There are different factors that can add variability to proteins. SAPs (single amino acid polymorphisms) and non-synonymous single nucleotide polymorphisms (nsSNPs) can lead to different "proteoforms" or "proteomorphs". Recent estimates have found ~135,000 validated nonsynonymous cSNPs currently housed within SwissProt. In dbSNP, there are 4.7 million candidate cSNPs, yet only ~670,000 cSNPs have been validated in the 1,000-genomes set as nonsynonymous cSNPs that change the identity of an amino acid in a protein. 135: 446: 366:, these projects seek to find and collect evidence for all predicted protein coding genes in the human genome. The Human Proteome Map currently (October 2020) claims 17,294 proteins and ProteomicsDB 15,479, using different criteria. On October 16, 2020, the HPP published a high-stringency blueprint covering more than 90% of the predicted protein coding genes. Proteins are identified from a wide range of fetal and adult tissues and cell types, including 379: 20: 142:
The proteome can be used in order to comparatively analyze different cancer cell lines. Proteomic studies have been used in order to identify the likelihood of metastasis in bladder cancer cell lines KK47 and YTS1 and were found to have 36 unregulated and 74 down regulated proteins. The differences
122:. Usually viral proteomes are predicted from the viral genome but some attempts have been made to determine all the proteins expressed from a virus genome, i.e. the viral proteome. More often, however, virus proteomics analyzes the changes of host proteins upon virus infection, so that in effect 514:
is an important tool in the study of the proteome. It allows for very sensitive separation of different kinds of proteins based on their affinity for a matrix. Some newer methods for the separation and identification of proteins include the use of monolithic capillary columns, high temperature
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based proteomic analyses. The use of proteomics or the study of the proteome is a step forward in personalized medicine to tailor drug cocktails to the patient's specific proteomic and genomic profile. The analysis of ovarian cancer cell lines showed that putative biomarkers for ovarian cancer
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Wilhelm, Mathias; Schlegl, Judith; Hahne, Hannes; Gholami, Amin Moghaddas; Lieberenz, Marcus; Savitski, Mikhail M.; Ziegler, Emanuel; Butzmann, Lars; Gessulat, Siegfried; Marx, Harald; Mathieson, Toby; Lemeer, Simone; Schnatbaum, Karsten; Reimer, Ulf; Wenschuh, Holger; Mollenhauer, Martin;
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proteins. Because the range in protein contents in plasma is very large, it is difficult to detect proteins that tend to be scarce when compared to abundant proteins. This is an analytical limit that may possibly be a barrier for the detections of proteins with ultra low concentrations.
502:. This map was generated using high-resolution Fourier-transform mass spectrometry. This study profiled 30 histologically normal human samples resulting in the identification of proteins coded by 17,294 genes. This accounts for around 84% of the total annotated protein-coding genes. 397:
technology to make copies of a single protein. Numerous methods are available to study proteins, sets of proteins, or the whole proteome. In fact, proteins are often studied indirectly, e.g. using computational methods and analyses of genomes. Only a few examples are given below.
300:, DNA repair capability is positively related to genome information content and to genome size. “Proteomic constraint” proposes that modulators of mutation rates such as DNA repair genes are subject to selection pressure proportional to the amount of information in a genome. 598:
contains information about the human proteins in cells, tissues, and organs. All the data in the knowledge resource is open access to allow scientists both in academia and industry to freely access the data for exploration of the human proteome. The organization
206:, proteomic analyses were used in order to investigate how different proteins help each of these bacteria spores germinate after a prolonged period of dormancy. In order to better understand how to properly eliminate spores, proteomic analysis must be performed. 173:
Comparative proteomic analyses of 11 cell lines demonstrated the similarity between the metabolic processes of each cell line; 11,731 proteins were completely identified from this study. Housekeeping proteins tend to show greater variability between cell lines.
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Acosta S, Carela M, Garcia-Gonzalez A, Gines M, Vicens L, Cruet R, Massey SE. DNA Repair Is Associated with Information Content in Bacteria, Archaea, and DNA Viruses. J Hered. 2015 Sep-Oct;106(5):644-59. doi: 10.1093/jhered/esv055. Epub 2015 Aug 29. PMID:
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Analyzing proteins proves to be more difficult than analyzing nucleic acid sequences. While there are only 4 nucleotides that make up DNA, there are at least 20 different amino acids that can make up a protein. Additionally, there is currently no known
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in 1994 in a symposium on "2D Electrophoresis: from protein maps to genomes" held in Siena in Italy. It appeared in print in 1995, with the publication of part of his PhD thesis. Wilkins used the term to describe the entire complement of
182:. Studies of adenocarcinoma cell line LoVo demonstrated that 8 proteins were unregulated and 7 proteins were down-regulated. Proteins that showed a differential expression were involved in processes such as transcription, 1258:
Peng, Xing-Chen; Gong, Feng-Ming; Wei, Meng; Chen, Xi; Chen, Ye; Cheng, Ke; Gao, Feng; Xu, Feng; Bi, Feng; Liu, Ji-Yan (December 2010). "Proteomic analysis of cell lines to identify the irinotecan resistance proteins".
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Morgenstern, Marcel; Stiller, Sebastian B.; Lübbert, Philipp; Peikert, Christian D.; Dannenmaier, Stefan; Drepper, Friedel; Weill, Uri; Höß, Philipp; Feuerstein, Reinhild; Gebert, Michael; Bohnert, Maria (June 2017).
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can be used in order to quantify the abundance of certain proteins. By using antibodies specific to the protein of interest, it is possible to probe for the presence of specific proteins from a mixture of proteins.
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Aebersold, Ruedi; Agar, Jeffrey N; Amster, I Jonathan; Baker, Mark S; Bertozzi, Carolyn R; Boja, Emily S; Costello, Catherine E; Cravatt, Benjamin F; Fenselau, Catherine; Garcia, Benjamin A; Ge, Ying (March 2018).
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provided predicted structures for over 200 million proteins from across the tree of life. Smaller projects have also used protein structure prediction to help map the proteome of individual organisms, for example
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While proteome generally refers to the proteome of an organism, multicellular organisms may have very different proteomes in different cells, hence it is important to distinguish proteomes in cells and organisms.
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Wasinger VC, Cordwell SJ, Cerpa-Poljak A, Yan JX, Gooley AA, Wilkins MR, Duncan MW, Harris R, Williams KL, Humphery-Smith I (1995). "Progress with gene-product mapping of the Mollicutes: Mycoplasma genitalium".
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Resistance to certain cancer drugs is still not well understood. Proteomic analysis has been used in order to identify proteins that may have anti-cancer drug properties, specifically for the colon cancer drug
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Ponomarenko, Elena A.; Poverennaya, Ekaterina V.; Ilgisonis, Ekaterina V.; Pyatnitskiy, Mikhail A.; Kopylov, Arthur T.; Zgoda, Victor G.; Lisitsa, Andrey V.; Archakov, Alexander I. (2016).
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An, Yao; Zhou, Li; Huang, Zhao; Nice, Edouard C.; Zhang, Haiyuan; Huang, Canhua (2019-05-04). "Molecular insights into cancer drug resistance from a proteomics perspective".
489:, on the other hand, can get sequence information from individual peptides by isolating them, colliding them with a non-reactive gas, and then cataloguing the fragment 2124:
Sommer, Markus J.; Cha, Sooyoung; Varabyou, Ales; Rincon, Natalia; Park, Sukhwan; Minkin, Ilia; Pertea, Mihaela; Steinegger, Martin; Salzberg, Steven L. (2022-12-15).
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Proteomic analyses have been performed in different kinds of bacteria to assess their metabolic reactions to different conditions. For example, in bacteria such as
55:, cell, tissue, or organism at a certain time. It is the set of expressed proteins in a given type of cell or organism, at a given time, under defined conditions. 626: 1876: 90:, which can be conceptualized as the complete set of proteins from all of the various cellular proteomes. This is very roughly the protein equivalent of the 481:
identifies a protein by cleaving it into short peptides and then deduces the protein's identity by matching the observed peptide masses against a
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This image shows a two-dimensional gel with color-coded proteins. This is a way to visualize proteins based on their mass and isoelectric point.
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Cruz, Isa N.; Coley, Helen M.; Kramer, Holger B.; Madhuri, Thumuluru Kavitah; Safuwan, Nur a. M.; Angelino, Ana Rita; Yang, Min (2017-01-01).
272:(e.g. human proteome encodes about 20,000 proteins, but some estimates predicted 92,179 proteins out of which 71,173 are splicing variants). 569:
can be used to provide three-dimensional protein structure predictions of whole proteomes. In 2022, a large-scale collaboration between
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Altelaar, AF; Munoz, J; Heck, AJ (January 2013). "Next-generation proteomics: towards an integrative view of proteome dynamics".
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is one of the key methods to study the proteome. Some important mass spectrometry methods include Orbitrap Mass Spectrometry,
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Slotta-Huspenina, Julia; Boese, Joos-Hendrik; Bantscheff, Marcus; Gerstmair, Anja; Faerber, Franz; Kuster, Bernhard (2014).
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Shi, Yang; Xiang, Rong; Horváth, Csaba; Wilkins, James A. (2004-10-22). "The role of liquid chromatography in proteomics".
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algorithms use certain cut-offs, such as 50 or 100 amino acids, so small proteins are often missed by such predictions. In
1026:"Quantitative Analysis of Differential Proteome Expression in Bladder Cancer vs. Normal Bladder Cells Using SILAC Method" 410: 603:
has selected the protein atlas as a core resource due to its fundamental importance for a wider life science community.
1201:"Comparative Proteomic Analysis of Eleven Common Cell Lines Reveals Ubiquitous but Varying Expression of Most Proteins" 1922: 1312:"Membrane Proteomes and Ion Transporters in Bacillus anthracis and Bacillus subtilis Dormant and Germinating Spores" 610: 250:(in viruses ranging from ~3 to ~1000, in bacteria ranging from about 500 proteins to about 10,000). However, most 2307: 1310:
Chen, Yan; Barat, Bidisha; Ray, W. Keith; Helm, Richard F.; Melville, Stephen B.; Popham, David L. (2019-03-15).
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Johnson, D. T.; Harris, R. A.; French, S.; Blair, P. V.; You, J.; Bemis, K. G.; Wang, M.; Balaban, R. S. (2006).
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Yang, Ganglong; Xu, Zhipeng; Lu, Wei; Li, Xiang; Sun, Chengwen; Guo, Jia; Xue, Peng; Guan, Feng (2015-07-31).
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encode a relatively well-defined proteome as each protein can be predicted with high confidence, based on its
2272: 2247: 566: 1144:"Proteomics Analysis of Ovarian Cancer Cell Lines and Tissues Reveals Drug Resistance-associated Proteins" 478: 2237: 321: 417:, which resolves proteins on the basis of charge. In the second dimension, proteins are separated by 458: 214: 437:
to visualize the proteins. Spots on the gel are proteins that have migrated to specific locations.
486: 430: 367: 2265: 2004:. Bioanalytical Chemistry: Perspectives and Recent Advances with Recognition of Barry L. Karger. 662: 475: 394: 677: 558:. Pull-down assays are a method to determine the protein binding partners of a given protein. 409:, the study of the proteome, has largely been practiced through the separation of proteins by 2411: 2302: 2080: 1956: 1890: 1787: 1728: 1524: 1512: 1199:
Geiger, Tamar; Wehner, Anja; Schaab, Christoph; Cox, Juergen; Mann, Matthias (March 2012).
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coined by PerdigĂŁo and colleagues, defines regions of proteins that have no detectable
247: 2343: 2317: 2216: 2198: 2157: 2110: 2098: 2025: 2017: 1982: 1906: 1848: 1813: 1756: 1697: 1679: 1613: 1595: 1560: 1548: 1540: 1493: 1432: 1400: 1388: 1349: 1331: 1284: 1276: 1240: 1222: 1181: 1163: 1116: 1108: 1073: 1055: 998: 990: 951: 933: 894: 886: 845: 794: 776: 728: 482: 467: 462: 450: 325: 317: 163: 150: 1860: 1128: 1010: 971:"Viral proteomics: global evaluation of viruses and their interaction with the host" 740: 2421: 2379: 2374: 2369: 2206: 2188: 2147: 2137: 2088: 2009: 1972: 1964: 1918: 1898: 1881: 1840: 1803: 1795: 1746: 1736: 1687: 1671: 1663: 1603: 1587: 1532: 1483: 1475: 1444: 1424: 1380: 1339: 1323: 1296: 1268: 1230: 1212: 1171: 1155: 1100: 1063: 1045: 982: 941: 925: 876: 835: 825: 784: 768: 720: 498: 1104: 2327: 2312: 2013: 1536: 1050: 772: 614: 434: 251: 138:
The proteome can be used to determine the presence of different types of cancers.
134: 2069:"'The entire protein universe': AI predicts shape of nearly every known protein" 445: 2348: 2093: 2068: 1799: 724: 652: 511: 418: 76: 1272: 1143: 757:"Definition of a High-Confidence Mitochondrial Proteome at Quantitative Scale" 630: 359: 2448: 2406: 2401: 2202: 2021: 1683: 1599: 1544: 1428: 1335: 1280: 1226: 1167: 1112: 1059: 994: 986: 937: 890: 780: 708: 667: 490: 313: 106: 28: 1741: 1217: 582:
provides coverage of multiple protein isoforms for over 20,000 genes in the
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type under a particular set of environmental conditions such as exposure to
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Set of proteins that can be expressed by a genome, cell, tissue, or organism
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in protein expression can help identify novel cancer signaling mechanisms.
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is the most popular of them but there are numerous variations, both used
530: 196: 2142: 1968: 1902: 1327: 607: 2353: 1159: 881: 864: 642: 406: 387: 281: 242: 179: 167: 56: 32: 1384: 378: 19: 2431: 2126:"Structure-guided isoform identification for the human transcriptome" 814:"Mitoproteomics: Tackling Mitochondrial Dysfunction in Human Disease" 329: 297: 255: 183: 146: 101:
has also been used to refer to the collection of proteins in certain
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capacity is positively correlated with the information content of a
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In May 2014, a draft map of the human proteome was published in
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and viruses was found to be "dark", compared with only ~14% in
285: 91: 52: 24: 709:"Tissue heterogeneity of the mammalian mitochondrial proteome" 471: 328:. For 546,000 Swiss-Prot proteins, 44–54% of the proteome in 236: 155: 600: 401: 2257: 2242: 265: 1873: 109:
proteome may consist of more than 3000 distinct proteins.
579: 413:. In the first dimension, the proteins are separated by 355: 1830: 1648: 706: 2123: 276:
Association of proteome size with DNA repair capability
1999: 1141: 865:"From ORFeomes to Protein Interaction Maps in Viruses" 531:
Protein complementation assays and interaction screens
2177:"The Size of the Human Proteome: The Width and Depth" 1877:"Mass-Spectrometry-Based Draft of the Human Proteome" 1198: 186:
and cell proliferation/differentiation among others.
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Wilkins, Marc (Dec 2009). "Proteomics data mining".
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Viswanathan, Kasinath; FrĂĽh, Klaus (December 2007).
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chromatography and capillary electrochromatography.
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this becomes much more complicated as more than one
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is the collection of proteins found in a particular
1776:"A high-stringency blueprint of the human proteome" 474:(Matrix Assisted Laser Desorption/Ionization), and 226:expressed by a genome, cell, tissue or organism. 2446: 1309: 633:are central resources for human proteomic data. 373: 86:It can also be useful to consider an organism's 23:General schema showing the relationships of the 1257: 1090: 968: 912:Maxwell, Karen L.; Frappier, Lori (June 2007). 911: 713:American Journal of Physiology. Cell Physiology 561: 126:proteomes (of virus and its host) are studied. 280:The concept of “proteomic constraint” is that 160:glyceraldehyde-3-phosphate dehydrogenase (G3P) 2273: 2181:International Journal of Analytical Chemistry 1631: 1629: 1627: 811: 162:, stress-70 protein, mitochondrial (GRP75), 2168: 2280: 2266: 1717:"Unexpected features of the dark proteome" 1624: 1023: 918:Microbiology and Molecular Biology Reviews 2210: 2192: 2151: 2141: 2092: 1976: 1807: 1750: 1740: 1691: 1607: 1487: 1457: 1343: 1234: 1216: 1175: 1067: 1049: 945: 880: 839: 829: 788: 402:Separation techniques and electrophoresis 2066: 1773: 1714: 1576:"UniProt: a hub for protein information" 444: 377: 133: 105:, such as organelles. For instance, the 18: 1652:"How many human proteoforms are there?" 1573: 1366: 536:Protein-fragment complementation assays 129: 2447: 2254:Web Archives (archived 2011-05-06) 1943:Kim, Min-Sik; et al. (May 2014). 1715:PerdigĂŁo, Nelson; et al. (2015). 1510: 1464:: proteome isoelectric point database" 2261: 1644: 1642: 62: 862: 589: 440: 229: 1945:"A draft map of the human proteome" 1942: 1205:Molecular & Cellular Proteomics 411:two dimensional gel electrophoresis 51:that is, or can be, expressed by a 13: 1639: 812:GĂłmez-Serrano, M (November 2018). 14: 2466: 2231: 1458:Kozlowski, LP (26 October 2016). 505: 190:The proteome in bacterial systems 1148:Cancer Genomics & Proteomics 360:The Human Proteome Project (HPP) 2308:Post-translational modification 2117: 2060: 2036: 1993: 1936: 1867: 1824: 1767: 1708: 1567: 1504: 1451: 1407: 1360: 1303: 1251: 1192: 658:List of omics topics in biology 617:contains information on 10,500 1135: 1084: 1017: 962: 905: 856: 805: 747: 700: 476:ESI (Electrospray Ionization). 59:is the study of the proteome. 1: 2067:Callaway, Ewen (2022-07-28). 1105:10.1080/14789450.2019.1601561 693: 374:Methods to study the proteome 149:of cancer have been found by 2287: 2014:10.1016/j.chroma.2004.07.044 1774:Adhikari, S (October 2020). 1574:Uniprot, Consortium (2014). 1537:10.1126/science.366.6463.296 1511:Leslie, Mitch (2019-10-18). 1051:10.1371/journal.pone.0134727 773:10.1016/j.celrep.2017.06.014 567:Protein structure prediction 562:Protein structure prediction 540:protein–protein interactions 166:, peroxiredoxin (PRDX2) and 7: 2002:Journal of Chromatography A 1369:Expert Review of Proteomics 1093:Expert Review of Proteomics 975:Expert Review of Proteomics 636: 518: 479:Peptide mass fingerprinting 453:commonly used in proteomics 322:three-dimensional structure 320:to other proteins of known 154:include "α-enolase (ENOA), 10: 2471: 2349:Protein structural domains 2094:10.1038/d41586-022-02083-2 1800:10.1038/s41467-020-19045-9 725:10.1152/ajpcell.00108.2006 456: 385: 264:can be produced from most 209: 164:apolipoprotein A-1 (APOA1) 2362: 2336: 2295: 1273:10.1007/s12038-010-0064-9 538:are often used to detect 459:Protein mass spectrometry 1429:10.1002/elps.11501601185 987:10.1586/14789450.4.6.815 608:Plasma Proteome database 487:Tandem mass spectrometry 431:Coomassie brilliant blue 324:and therefore cannot be 158:, mitochondrial (EFTU), 2044:"Pull-Down Assays - US" 1833:Nature Reviews Genetics 1742:10.1073/pnas.1508380112 1656:Nature Chemical Biology 1316:Journal of Bacteriology 1218:10.1074/mcp.M111.014050 863:Uetz, P. (2004-10-15). 663:Plant Proteome Database 1580:Nucleic Acids Research 1468:Nucleic Acids Research 1261:Journal of Biosciences 678:Human Proteome Project 544:yeast two-hybrid assay 454: 383: 139: 40: 2412:Photoreceptor protein 1780:Nature Communications 1668:10.1038/nchembio.2576 930:10.1128/MMBR.00042-06 448: 381: 137: 47:is the entire set of 22: 2303:Protein biosynthesis 2194:10.1155/2016/7436849 2048:www.thermofisher.com 831:10.1155/2018/1435934 818:Oxid Med Cell Longev 415:isoelectric focusing 364:human genome project 270:alternative splicing 156:elongation factor Tu 130:Importance in cancer 103:sub-cellular systems 2252:Library of Congress 2143:10.7554/eLife.82556 2085:2022Natur.608...15C 1969:10.1038/nature13302 1961:2014Natur.509..575K 1903:10.1038/nature13319 1895:2014Natur.509..582W 1792:2020NatCo..11.5301A 1733:2015PNAS..11215898P 1727:(52): 15898–15903. 1529:2019Sci...366..296L 1474:(D1): D1112–D1116. 1328:10.1128/JB.00662-18 1042:2015PLoSO..1034727Y 688:Human Protein Atlas 596:Human Protein Atlas 368:hematopoietic cells 326:modeled by homology 81:hormone stimulation 1592:10.1093/nar/gku989 1480:10.1093/nar/gkw978 1211:(3): M111.014050. 1160:10.21873/cgp.20017 914:"Viral proteomics" 882:10.1101/gr.2583304 875:(10b): 2029–2033. 625:Databases such as 613:2021-01-27 at the 455: 384: 348:Human Proteome Map 252:protein prediction 248:open reading frame 140: 112:The proteins in a 63:Types of proteomes 41: 2442: 2441: 2344:Protein structure 2318:Protein targeting 1586:(D1): D204–D212. 1523:(6463): 296–299. 1385:10.1586/epr.09.81 767:(13): 2836–2852. 590:Protein databases 483:sequence database 468:Mass spectrometry 463:Mass spectrometry 451:mass spectrometer 441:Mass spectrometry 318:sequence homology 230:Size and contents 151:mass spectrometry 88:complete proteome 73:cellular proteome 2462: 2422:Phycobiliprotein 2380:Globular protein 2375:Membrane protein 2370:List of proteins 2282: 2275: 2268: 2259: 2258: 2243:UniProt database 2225: 2224: 2214: 2196: 2172: 2166: 2165: 2155: 2145: 2121: 2115: 2114: 2096: 2064: 2058: 2057: 2055: 2054: 2040: 2034: 2033: 1997: 1991: 1990: 1980: 1955:(7502): 575–81. 1940: 1934: 1933: 1931: 1930: 1921:. Archived from 1871: 1865: 1864: 1828: 1822: 1821: 1811: 1771: 1765: 1764: 1754: 1744: 1712: 1706: 1705: 1695: 1646: 1637: 1633: 1622: 1621: 1611: 1571: 1565: 1564: 1513:"Outsize impact" 1508: 1502: 1501: 1491: 1455: 1449: 1448: 1411: 1405: 1404: 1364: 1358: 1357: 1347: 1307: 1301: 1300: 1255: 1249: 1248: 1238: 1220: 1196: 1190: 1189: 1179: 1139: 1133: 1132: 1088: 1082: 1081: 1071: 1053: 1021: 1015: 1014: 966: 960: 959: 949: 909: 903: 902: 884: 860: 854: 853: 843: 833: 809: 803: 802: 792: 751: 745: 744: 719:(2): c689–c697. 704: 524:Western blotting 419:molecular weight 362:. Much like the 217:coined the term 168:annexin A (ANXA) 116:can be called a 31:, proteome, and 2470: 2469: 2465: 2464: 2463: 2461: 2460: 2459: 2445: 2444: 2443: 2438: 2402:Fibrous protein 2358: 2332: 2328:Protein methods 2313:Protein folding 2291: 2286: 2234: 2229: 2228: 2173: 2169: 2122: 2118: 2079:(7921): 15–16. 2065: 2061: 2052: 2050: 2042: 2041: 2037: 1998: 1994: 1941: 1937: 1928: 1926: 1889:(7502): 582–7. 1872: 1868: 1845:10.1038/nrg3356 1829: 1825: 1772: 1768: 1713: 1709: 1647: 1640: 1634: 1625: 1572: 1568: 1509: 1505: 1456: 1452: 1417:Electrophoresis 1412: 1408: 1365: 1361: 1308: 1304: 1256: 1252: 1197: 1193: 1140: 1136: 1089: 1085: 1036:(7): e0134727. 1022: 1018: 967: 963: 910: 906: 869:Genome Research 861: 857: 810: 806: 752: 748: 705: 701: 696: 639: 615:Wayback Machine 592: 564: 533: 521: 508: 465: 457:Main articles: 443: 404: 395:high throughput 390: 376: 234:The genomes of 232: 212: 192: 132: 65: 17: 12: 11: 5: 2468: 2458: 2457: 2440: 2439: 2437: 2436: 2435: 2434: 2429: 2424: 2414: 2409: 2404: 2399: 2398: 2397: 2392: 2387: 2377: 2372: 2366: 2364: 2360: 2359: 2357: 2356: 2351: 2346: 2340: 2338: 2334: 2333: 2331: 2330: 2325: 2320: 2315: 2310: 2305: 2299: 2297: 2293: 2292: 2285: 2284: 2277: 2270: 2262: 2256: 2255: 2245: 2240: 2233: 2232:External links 2230: 2227: 2226: 2167: 2116: 2059: 2035: 1992: 1935: 1866: 1823: 1766: 1707: 1662:(3): 206–214. 1638: 1623: 1566: 1503: 1450: 1423:(1): 1090–94. 1406: 1359: 1302: 1267:(4): 557–564. 1250: 1191: 1134: 1099:(5): 413–429. 1083: 1016: 981:(6): 815–829. 961: 924:(2): 398–411. 904: 855: 804: 746: 698: 697: 695: 692: 691: 690: 685: 680: 675: 670: 665: 660: 655: 653:Bioinformatics 650: 645: 638: 635: 591: 588: 563: 560: 532: 529: 520: 517: 512:chromatography 507: 506:Chromatography 504: 442: 439: 425:. The gel is 403: 400: 386:Main article: 375: 372: 344:Human proteome 231: 228: 211: 208: 191: 188: 131: 128: 119:viral proteome 64: 61: 15: 9: 6: 4: 3: 2: 2467: 2456: 2453: 2452: 2450: 2433: 2430: 2428: 2425: 2423: 2420: 2419: 2418: 2415: 2413: 2410: 2408: 2407:Chromoprotein 2405: 2403: 2400: 2396: 2393: 2391: 2388: 2386: 2383: 2382: 2381: 2378: 2376: 2373: 2371: 2368: 2367: 2365: 2361: 2355: 2352: 2350: 2347: 2345: 2342: 2341: 2339: 2335: 2329: 2326: 2324: 2321: 2319: 2316: 2314: 2311: 2309: 2306: 2304: 2301: 2300: 2298: 2294: 2290: 2283: 2278: 2276: 2271: 2269: 2264: 2263: 2260: 2253: 2249: 2248:Pfam database 2246: 2244: 2241: 2239: 2236: 2235: 2222: 2218: 2213: 2208: 2204: 2200: 2195: 2190: 2186: 2182: 2178: 2171: 2163: 2159: 2154: 2149: 2144: 2139: 2135: 2131: 2127: 2120: 2112: 2108: 2104: 2100: 2095: 2090: 2086: 2082: 2078: 2074: 2070: 2063: 2049: 2045: 2039: 2031: 2027: 2023: 2019: 2015: 2011: 2007: 2003: 1996: 1988: 1984: 1979: 1974: 1970: 1966: 1962: 1958: 1954: 1950: 1946: 1939: 1925:on 2018-08-20 1924: 1920: 1916: 1912: 1908: 1904: 1900: 1896: 1892: 1888: 1884: 1883: 1878: 1870: 1862: 1858: 1854: 1850: 1846: 1842: 1838: 1834: 1827: 1819: 1815: 1810: 1805: 1801: 1797: 1793: 1789: 1785: 1781: 1777: 1770: 1762: 1758: 1753: 1748: 1743: 1738: 1734: 1730: 1726: 1722: 1718: 1711: 1703: 1699: 1694: 1689: 1685: 1681: 1677: 1676:1721.1/120977 1673: 1669: 1665: 1661: 1657: 1653: 1645: 1643: 1632: 1630: 1628: 1619: 1615: 1610: 1605: 1601: 1597: 1593: 1589: 1585: 1581: 1577: 1570: 1562: 1558: 1554: 1550: 1546: 1542: 1538: 1534: 1530: 1526: 1522: 1518: 1514: 1507: 1499: 1495: 1490: 1485: 1481: 1477: 1473: 1469: 1465: 1463: 1454: 1446: 1442: 1438: 1434: 1430: 1426: 1422: 1418: 1410: 1402: 1398: 1394: 1390: 1386: 1382: 1378: 1374: 1370: 1363: 1355: 1351: 1346: 1341: 1337: 1333: 1329: 1325: 1321: 1317: 1313: 1306: 1298: 1294: 1290: 1286: 1282: 1278: 1274: 1270: 1266: 1262: 1254: 1246: 1242: 1237: 1232: 1228: 1224: 1219: 1214: 1210: 1206: 1202: 1195: 1187: 1183: 1178: 1173: 1169: 1165: 1161: 1157: 1153: 1149: 1145: 1138: 1130: 1126: 1122: 1118: 1114: 1110: 1106: 1102: 1098: 1094: 1087: 1079: 1075: 1070: 1065: 1061: 1057: 1052: 1047: 1043: 1039: 1035: 1031: 1027: 1020: 1012: 1008: 1004: 1000: 996: 992: 988: 984: 980: 976: 972: 965: 957: 953: 948: 943: 939: 935: 931: 927: 923: 919: 915: 908: 900: 896: 892: 888: 883: 878: 874: 870: 866: 859: 851: 847: 842: 837: 832: 827: 823: 819: 815: 808: 800: 796: 791: 786: 782: 778: 774: 770: 766: 762: 758: 750: 742: 738: 734: 730: 726: 722: 718: 714: 710: 703: 699: 689: 686: 684: 681: 679: 676: 674: 671: 669: 668:Transcriptome 666: 664: 661: 659: 656: 654: 651: 649: 646: 644: 641: 640: 634: 632: 628: 623: 620: 616: 612: 609: 604: 602: 597: 587: 585: 581: 576: 572: 568: 559: 557: 556: 551: 550: 545: 541: 537: 528: 525: 516: 513: 503: 501: 500: 494: 492: 488: 484: 480: 477: 473: 469: 464: 460: 452: 447: 438: 436: 432: 428: 424: 420: 416: 412: 408: 399: 396: 389: 380: 371: 369: 365: 361: 357: 353: 349: 345: 341: 339: 335: 331: 327: 323: 319: 315: 314:dark proteome 311: 310:Dark proteome 307: 305: 301: 299: 295: 291: 287: 283: 278: 277: 273: 271: 267: 263: 259: 258: 253: 249: 245: 244: 239: 238: 227: 225: 220: 216: 207: 205: 204: 199: 198: 187: 185: 181: 175: 171: 169: 165: 161: 157: 152: 148: 144: 136: 127: 125: 121: 120: 115: 110: 108: 107:mitochondrial 104: 100: 95: 93: 89: 84: 82: 78: 74: 69: 60: 58: 54: 50: 46: 38: 34: 30: 29:transcriptome 26: 21: 2322: 2238:PIR database 2184: 2180: 2170: 2133: 2129: 2119: 2076: 2072: 2062: 2051:. Retrieved 2047: 2038: 2008:(1): 27–36. 2005: 2001: 1995: 1952: 1948: 1938: 1927:. Retrieved 1923:the original 1886: 1880: 1869: 1839:(1): 35–48. 1836: 1832: 1826: 1783: 1779: 1769: 1724: 1720: 1710: 1659: 1655: 1583: 1579: 1569: 1520: 1516: 1506: 1471: 1467: 1461: 1453: 1420: 1416: 1409: 1372: 1368: 1362: 1319: 1315: 1305: 1264: 1260: 1253: 1208: 1204: 1194: 1154:(1): 35–51. 1151: 1147: 1137: 1096: 1092: 1086: 1033: 1029: 1019: 978: 974: 964: 921: 917: 907: 872: 868: 858: 821: 817: 807: 764: 761:Cell Reports 760: 749: 716: 712: 702: 624: 619:blood plasma 605: 593: 584:human genome 565: 553: 547: 534: 522: 509: 497: 495: 466: 449:An Orbitrap 405: 391: 352:ProteomicsDB 343: 342: 309: 308: 303: 302: 279: 275: 274: 256: 241: 235: 233: 218: 215:Marc Wilkins 213: 201: 195: 193: 176: 172: 145: 141: 123: 117: 113: 111: 102: 98: 96: 87: 85: 72: 70: 66: 44: 42: 2427:Phytochrome 2417:Biliprotein 2187:: 7436849. 1786:(1): 5301. 1379:: 599–603. 824:: 1435934. 673:Interactome 312:. The term 304:Proteoforms 298:DNA viruses 243:prokaryotes 197:Clostridium 2455:Proteomics 2354:Proteasome 2337:Structures 2136:: e82556. 2053:2019-12-05 1929:2016-09-29 1460:"Proteome- 694:References 643:Metabolome 580:isoform.io 493:produced. 407:Proteomics 388:Proteomics 356:isoform.io 330:eukaryotes 282:DNA repair 257:eukaryotes 180:irinotecan 147:Biomarkers 57:Proteomics 33:metabolome 2432:Lipocalin 2296:Processes 2203:1687-8760 2111:251159714 2022:0021-9673 1684:1552-4450 1600:0305-1048 1561:204774732 1545:0036-8075 1401:207211912 1336:0021-9193 1281:0250-5991 1227:1535-9476 1168:1109-6535 1113:1478-9450 1060:1932-6203 995:1744-8387 938:1092-2172 891:1088-9051 781:2211-1247 184:apoptosis 97:The term 2449:Category 2385:Globulin 2323:Proteome 2289:Proteins 2221:27298622 2162:36519529 2103:35902752 2030:15543969 1987:24870542 1911:24870543 1861:10248311 1853:23207911 1818:33067450 1761:26578815 1702:29443976 1636:26320243 1618:25348405 1553:31624194 1498:27789699 1393:19929606 1354:30602489 1289:21289438 1245:22278370 1186:28031236 1129:88474614 1121:30925852 1078:26230496 1030:PLOS ONE 1011:25742649 1003:18067418 956:17554050 899:15489322 850:30533169 799:28658629 741:24412700 733:16928776 637:See also 627:neXtprot 611:Archived 575:DeepMind 571:EMBL-EBI 549:in vitro 519:Blotting 423:SDS-PAGE 338:bacteria 290:bacteria 224:proteins 219:proteome 203:Bacillus 99:proteome 49:proteins 45:proteome 37:lipidome 2395:Albumin 2390:Edestin 2250:at the 2212:4889822 2153:9812405 2081:Bibcode 1978:4403737 1957:Bibcode 1919:4467721 1891:Bibcode 1809:7568584 1788:Bibcode 1752:4702990 1729:Bibcode 1693:5837046 1609:4384041 1525:Bibcode 1517:Science 1489:5210655 1445:9269742 1437:7498152 1377:England 1345:6398275 1297:6082637 1236:3316730 1177:5267499 1069:4521931 1038:Bibcode 947:1899879 841:6250043 790:5494306 683:BioPlex 631:UniProt 555:in vivo 510:Liquid 427:stained 334:archaea 294:archaea 268:due to 262:protein 237:viruses 210:History 2219:  2209:  2201:  2160:  2150:  2109:  2101:  2073:Nature 2028:  2020:  1985:  1975:  1949:Nature 1917:  1909:  1882:Nature 1859:  1851:  1816:  1806:  1759:  1749:  1700:  1690:  1682:  1616:  1606:  1598:  1559:  1551:  1543:  1496:  1486:  1443:  1435:  1399:  1391:  1352:  1342:  1334:  1295:  1287:  1279:  1243:  1233:  1225:  1184:  1174:  1166:  1127:  1119:  1111:  1076:  1066:  1058:  1009:  1001:  993:  954:  944:  936:  897:  889:  848:  838:  797:  787:  779:  739:  731:  648:Cytome 601:ELIXIR 542:. The 499:Nature 435:silver 421:using 358:, and 286:genome 92:genome 53:genome 25:genome 2363:Types 2130:eLife 2107:S2CID 1915:S2CID 1857:S2CID 1557:S2CID 1441:S2CID 1397:S2CID 1375:(6). 1322:(6). 1293:S2CID 1125:S2CID 1007:S2CID 737:S2CID 472:MALDI 429:with 266:genes 114:virus 2217:PMID 2199:ISSN 2185:2016 2158:PMID 2099:PMID 2026:PMID 2018:ISSN 2006:1053 1983:PMID 1907:PMID 1849:PMID 1814:PMID 1757:PMID 1721:PNAS 1698:PMID 1680:ISSN 1614:PMID 1596:ISSN 1549:PMID 1541:ISSN 1494:PMID 1433:PMID 1389:PMID 1350:PMID 1332:ISSN 1285:PMID 1277:ISSN 1241:PMID 1223:ISSN 1182:PMID 1164:ISSN 1117:PMID 1109:ISSN 1074:PMID 1056:ISSN 999:PMID 991:ISSN 952:PMID 934:ISSN 895:PMID 887:ISSN 846:PMID 822:2018 795:PMID 777:ISSN 729:PMID 629:and 606:The 594:The 573:and 552:and 491:ions 461:and 336:and 296:and 240:and 200:and 77:cell 43:The 2207:PMC 2189:doi 2148:PMC 2138:doi 2089:doi 2077:608 2010:doi 1973:PMC 1965:doi 1953:509 1899:doi 1887:509 1841:doi 1804:PMC 1796:doi 1747:PMC 1737:doi 1725:112 1688:PMC 1672:hdl 1664:doi 1604:PMC 1588:doi 1533:doi 1521:366 1484:PMC 1476:doi 1425:doi 1381:doi 1340:PMC 1324:doi 1320:201 1269:doi 1231:PMC 1213:doi 1172:PMC 1156:doi 1101:doi 1064:PMC 1046:doi 983:doi 942:PMC 926:doi 877:doi 836:PMC 826:doi 785:PMC 769:doi 721:doi 717:292 485:. 433:or 170:". 124:two 2451:: 2215:. 2205:. 2197:. 2183:. 2179:. 2156:. 2146:. 2134:11 2132:. 2128:. 2105:. 2097:. 2087:. 2075:. 2071:. 2046:. 2024:. 2016:. 1981:. 1971:. 1963:. 1951:. 1947:. 1913:. 1905:. 1897:. 1885:. 1879:. 1855:. 1847:. 1837:14 1835:. 1812:. 1802:. 1794:. 1784:11 1782:. 1778:. 1755:. 1745:. 1735:. 1723:. 1719:. 1696:. 1686:. 1678:. 1670:. 1660:14 1658:. 1654:. 1641:^ 1626:^ 1612:. 1602:. 1594:. 1584:43 1582:. 1578:. 1555:. 1547:. 1539:. 1531:. 1519:. 1515:. 1492:. 1482:. 1472:45 1470:. 1466:. 1462:pI 1439:. 1431:. 1421:16 1419:. 1395:. 1387:. 1371:. 1348:. 1338:. 1330:. 1318:. 1314:. 1291:. 1283:. 1275:. 1265:35 1263:. 1239:. 1229:. 1221:. 1209:11 1207:. 1203:. 1180:. 1170:. 1162:. 1152:14 1150:. 1146:. 1123:. 1115:. 1107:. 1097:16 1095:. 1072:. 1062:. 1054:. 1044:. 1034:10 1032:. 1028:. 1005:. 997:. 989:. 977:. 973:. 950:. 940:. 932:. 922:71 920:. 916:. 893:. 885:. 873:14 871:. 867:. 844:. 834:. 820:. 816:. 793:. 783:. 775:. 765:19 763:. 759:. 735:. 727:. 715:. 711:. 586:. 370:. 354:, 350:, 340:. 292:, 94:. 83:. 71:A 39:). 27:, 2281:e 2274:t 2267:v 2223:. 2191:: 2164:. 2140:: 2113:. 2091:: 2083:: 2056:. 2032:. 2012:: 1989:. 1967:: 1959:: 1932:. 1901:: 1893:: 1863:. 1843:: 1820:. 1798:: 1790:: 1763:. 1739:: 1731:: 1704:. 1674:: 1666:: 1620:. 1590:: 1563:. 1535:: 1527:: 1500:. 1478:: 1447:. 1427:: 1403:. 1383:: 1373:6 1356:. 1326:: 1299:. 1271:: 1247:. 1215:: 1188:. 1158:: 1131:. 1103:: 1080:. 1048:: 1040:: 1013:. 985:: 979:4 958:. 928:: 901:. 879:: 852:. 828:: 801:. 771:: 743:. 723:: 35:(

Index


genome
transcriptome
metabolome
lipidome
proteins
genome
Proteomics
cell
hormone stimulation
genome
mitochondrial
viral proteome

Biomarkers
mass spectrometry
elongation factor Tu
glyceraldehyde-3-phosphate dehydrogenase (G3P)
apolipoprotein A-1 (APOA1)
annexin A (ANXA)
irinotecan
apoptosis
Clostridium
Bacillus
Marc Wilkins
proteins
viruses
prokaryotes
open reading frame
protein prediction

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