PAXDBapplication/xmlhttp://pax-db.org/downloads/latest/datasets/bioprojects-abundance-files-v4.0.zipprimaryOK2000000ProteomicsChristian von Mering29760https://pax-db.org/dataset/29760/3382834283mering@imls.uzh.chUniversity of ZurichPAXDBFor the rescaling, the datasets are first parsed or processed such that the data reflect proportional abundances of whole protein molecules (i.e. proportionality to counts of complete, individual protein molecules, not to molecular weights, protein volumes, or digested peptides). In the case of spectral counting data protein. The proportional abundances are rescaled linearly to add up to one million; this means the abundance of each protein of interest is finally expressed in (parts per million,) relative to all other proteins in a sample. For a given protein abundance dataset, we then compute the absolute log abundance ratios of all pairs of proteins annotated to be functionally linked. The median of these absolute log abundance ratios represents an indirect quality metric: the closer it is to zero, the better (i.e. the more there is consistency between abundance values and functional annotations such as protein complexes or pathways). We then compute a background expectation for this metric, by permuting the abundance values in a given dataset randomly, and recomputing the median log abundance ratios. The permutation is repeated several times, yielding a distribution of medians. The actually observed median is then expressed as a Z-score distance to the random distribution ofmedians—this distance is termed the interaction consistency score.<h4>Background</h4>Cabernet Sauvignon grapevines were exposed to a progressive, increasing water defict over 16 days. Shoot elongation and photosynthesis were measured for physiological responses to water deficit. The effect of water deficit over time on the abundance of individual proteins in growing shoot tips (including four immature leaves) was analyzed using nanoflow liquid chromatography - tandem mass spectrometry (nanoLC-MS/MS).<h4>Results</h4>Water deficit progressively decreased shoot elongation, stomatal conductance and photosynthesis after Day 4; 2277 proteins were identified by shotgun proteomics with an average CV of 9% for the protein abundance of all proteins. There were 472 out of 942 (50%) proteins found in all samples that were significantly affected by water deficit. The 472 proteins were clustered into four groups: increased and decreased abundance of early- and late-responding protein profiles. Vines sensed the water deficit early, appearing to acclimate to stress, because the abundance of many proteins changed before decreases in shoot elongation, stomatal conductance and photosynthesis. Predominant functional categories of the early-responding proteins included photosynthesis, glycolysis, translation, antioxidant defense and growth-related categories (steroid metabolism and water transport), whereas additional proteins for late-responding proteins were largely involved with transport, photorespiration, antioxidants, amino acid and carbohydrate metabolism.<h4>Conclusions</h4>Proteomic responses to water deficit were dynamic with early, significant changes in abundance of proteins involved in translation, energy, antioxidant defense and steroid metabolism. The abundance of these proteins changed prior to any detectable decreases in shoot elongation, stomatal conductance or photosynthesis. Many of these early-responding proteins are known to be regulated by post-transcriptional modifications such as phosphorylation. The proteomics analysis indicates massive and substantial changes in plant metabolism that appear to funnel carbon and energy into antioxidant defenses in the very early stages of plant response to water deficit before any significant injury.Proteomic analysis indicates massive changes in metabolism prior to the inhibition of growth and photosynthesis of grapevine (Vitis vinifera L.) in response to water deficit.Cramer Grant R GR, Van Sluyter Steve C SC, Hopper Daniel W DW, Pascovici Dana D, Keighley Tim T, Haynes Paul A PAAdd, DmelCG43443, ADD, ADD-87, Hts-RC, data, AU023367, Data Set, protein complex, supply, Proteins, Ovhts, Gene, HtsRC, CG9325, protein, neutral molecular compounds, protein-containing complex, Dmel_CG9325, Xt, Peptide, 1B1, add, Polypeptides, anon-EST:Posey9, protein polypeptide chains, native protein, peptido, htsRC, GLI3-190, natural protein, polypeptide chain, Add-hts, Protein, CG43443, Gene Products, l(2)k14523, Dmel_CG34197, l(2)00634, median, Ovhts-RC, background, supply and distribution, protein aggregate, all_pairs, molecule, Bph, molecula, Random selection by shearing, oligonucleotide random primer, proportion, HTS-R1, HTS, Hts, molecules, peptides, l(2)k06121, adducin, GLI3FL, distribution, AI854843, proportionality, add-like, HTS-RC, rate, proteins, Molekuel, Pdn, sample population, introduction, Protein Gene Products, Gene Proteins, Adducin, RANDOM, 10^[-6], ppm, sample, supply., quotient, Peptid, peptidos, Polypeptide, Attention Deficit Hyperactivity Disorder, l(2)01103, EST D, CG34197, HtsF, ratiobiochemical pathways, Metabolic Process, degradation, Process, Processes, Photosynthetic, Vitis vinifera, metabolism resulting in cell growth, Metabolic Concepts, Photosynthesis Dark Reaction, Reductive Pentose Phosphate Cycle, Calvin Benson Cycle, Metabolic Processes, Photosynthetic Carbon Fixation, Concept, Metabolic Phenomena, Metabolism Concepts, Metabolism, Photosynthesis Dark Reactions, Cycle, proteomic analysis, Phenomena, Concepts, secretion, Calvin-Benson Cycle, wine grape, Grapes, Grape, Metabolism Concept, Phenomenon, Vitis vinifera subsp. vinifera, Metabolism Phenomena, metabolism, Carbon Fixation, Metabolic Phenomenon, multicellular organism metabolic process, biodegradation, Metabolic, catabolism, Metabolic Concept, Calvin Benson Bassham Cycle, metabolic process resulting in cell growth, Raisins, Calvin-Benson-Bassham, response to water stimulus., single-organism metabolic process, Calvin Cycle, Raisin, inhibition of growth, biotransformation, Calvin-Benson-Bassham Cycle, Calvin, Dark Reactions of Photosynthesis, Calvin-Benson, Catabolism, Anabolismshoot axis, GRO:0005300.biochemical pathways, protein translation, Anti Oxidants, Metabolic Process, Activity, Tandem, determination, Wound, Pflanze, postnatal development, Aminosaeure, Metabolic Concepts, Physical, Amino acid, Embden-Meyerhof, BOUND WATER, growth and development, protein, Mass Spectrometry Mass Spectrometry, Embden Meyerhof Parnas Pathway, injury, phosphorylation, Photosynthetic Carbon Fixation, Long Term, viridiplantae, HOH, trauma, solute:solute exchange, protein polypeptide chains, shoot axis, Carbon-12, Concepts, Embden-Meyerhof Pathway, Metabolism Concept, protein aggregate, Fs(3)Hor, Phenomenon, Carbon Fixation, Effect, present in fewer numbers in organism, Research-Related, average, increased, Anti Oxidant, C, DmelCG2684, amino acids, catabolism, photorespiratory pathway, Pathways, proteins, Mass Spectrometry, metabolic process resulting in cell growth, Calvin-Benson-Bassham, NTef2, decreased, Antioxidant, Carbon, Anti-Oxidant Effect, dihydridooxygen, biotransformation, Calvin, dihydrogen oxide, Catabolism, Long-Term Effects, GRO:0005300, protein anabolism, Pathway, protein biosynthetic process, Process, Aminokarbonsaeure, Injury and Wounds, metabolism resulting in cell growth, Antioxidants, aqua, Liquid Chromatography, Longterm Effect, anaerobic glycolysis, Endogenous, late, Physical Traumas, Calvin Benson Cycle, Embden-Meyerhof-Parnas, results, Anti-Oxidants, alpha-amino carboxylic acids, Fs(3)Sz11, Embden-Meyerhof-Parnas Pathway, Vitreous, H2O, single-organism transport, protein formation, secretion, Physical Trauma, Hydrogen Oxide, Amino Acid, Acid, antioxidants, carbohydrate metabolism, Amino acids, growth pattern, MS/MS, non-developmental growth, 6C, hydrogen hydroxide, Plant, Calvin Benson Bassham Cycle, exposed, Embden-Meyerhof pathway, acqua, early, Endogenous Antioxidants, Vitreous Carbon, glycolysis, protein synthesis, Horka, carbonium, CG2684, Fs(3)Horka, Research-Related Injuries, small molecule transport, Acids, Wasser, Research-Related Injury, Embden-Meyerhof Pathways, accessory, Research Related Injuries, Effects, Peptidomics, Processes, Endogenous Antioxidant, antoxidant, Aminocarbonsaeure, Gene, antioxydant, Reductive Pentose Phosphate Cycle, carbon, alpha-amino acid, Metabolic Processes, protein-containing complex, supernumerary, response to water stimulus, Injuries and Wounds, agua, Wounds, reduced, polypeptide chain, subnumerary, Metabolism, Anti-Oxidant, Photosynthesis Dark Reactions, Cycle, modified Embden-Meyerhof pathway, single-organism carbohydrate metabolic process, Gene Products, DmF2, Anti-Oxidant Effects, Metabolism Phenomena, lod, plantae, multicellular organismal carbohydrate metabolic process, Injury, Longterm, MS2, Metabolic Concept, clumped, eau, Long-Term, decreased number, Kohlenstoff, extruding from, clustered, Traumas, Antioxidant Activity, Calvin-Benson-Bassham Cycle, Long-Term Effect, Dark Reactions of Photosynthesis, Embden Meyerhof Pathway, degradation, protein complex, Photosynthetic, exits through, Proteins, Photosynthesis Dark Reaction, Phosphorylations, alpha-amino acids, carbone, Anti Oxidant Effect, Concept, Metabolic Phenomena, carbono, development, Metabolism Concepts, native protein, natural protein, traumatic injury, Wounds and Injury, Antioxidant Effect, Trauma, Long Term Effects, Protein, chemical analysis, Phenomena, protein biosynthesis, Calvin-Benson Cycle, steroid metabolism, phosphorylation enrichment, background, metabolism, tandem MS, Metabolic Phenomenon, Anti Oxidant Effects, multicellular organism metabolic process, biodegradation, underdeveloped, Metabolic, increased number, postnatal growth, wound, Mass Spectrometry-Mass Spectrometry, Amino, Lds, Carbohydrate, Embden-Meyerhof-Parnas pathway, introduction, Longterm Effects, Injuries, Carbon 12, Protein Gene Products, Injuries., Gene Proteins, present in greater numbers in organism, Antioxidant Effects, single-organism metabolic process, Calvin Cycle, assay, [OH2], Calvin-Benson, growth, Anabolism0falseVvinifera L. - Shoot, NSAF (Crameretal,bmcplantbiol2013)abundance based on NSAF, Interaction consistency score: 9.5, Coverage: 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