Kegg Pathway: Glycolysis / Gluconeogenesis

KEGG ID: 00010

Reference Diagram

KEGG Diagram for Glycolysis / Gluconeogenesis

Rat

There are 42 IPI Records from this pathway found in Rattus norvegicus.

Location of Glycolysis / Gluconeogenesis proteins on Rat Genome

IPI Record Position
1: Adh1 2:235799457-235810972
2: Adh4 2:235951062-235991514
3: Adh7 2:235749346-235765064
4: Akr1a1 5:136920556-136937697
5: Aldh1a3 1:120847746-120881883
6: Aldh1a7 1:223833318-223875827
7: Aldh2 12:36081803-36116118
8: Aldh3a1 10:47365155-47374873
9: Aldh3a2 10:47403406-47421068
10: Aldh9a1 13:83017310-83034047
11: Aldoa 1:185970658-185975486
12: Aldob 5:66283166-66296182
13: Aldoc 10:64308826-64311160
14: Dlat 8:53989473-54014779
15: Eno1 5:167394131-167405515
16: Eno2 4:160890158-160899068
17: Eno3 10:57536978-57542311
18: Fbp1 17:7795933-7817894
19: Fbp2 17:7824298-7841664
20: G6pc 10:90393597-90403140
21: Galm 6:3024123-3078725
22: Gapdhs 1:85773751-85783791
23: Gck 14:86572518-86587740
24: Hk1 :-
25: Hk2 4:116925725-116975211
26: Hk3 17:15651953-15669109
27: Ldha 1:97403075-97412547
28: Ldhal6b :-
29: Ldhb 4:180061568-180079530
30: Ldhc 1:97418622-97435277
31: LOC246267 :-
32: Pdha2 2:238983104-238991788
33: Pdhb 15:18737449-18743395
34: Pfkl 20:11009349-11032513
35: Pfkm 7:136822203-136846040
36: Pgam1 :-
37: Pgam2 14:86466036-86468173
38: Pgk1 X:94324142-94340190
39: Pgm1 5:120595650-120655915
40: Pklr 2:181214402-181223512
41: Pkm2 8:63486490-63508245
42: Tpi1 4:160933442-160936871

Mouse

There are 42 IPI Records from this pathway found in Mus musculus.

Location of Glycolysis / Gluconeogenesis proteins on Mouse Genome

IPI Record Position
1: Acss1 2:150309552-150359686
2: Acss2 2:155209389-155277165
3: Acyp1 12:86161509-86169538
4: Acyp2 11:30405992-30549396
5: Adh1 3:138215032-138228085
6: Adh4 3:138352896-138368183
7: Adh5 3:138380551-138392886
8: Adh7 3:138159100-138168593
9: Aldh1a3 7:66269840-66306401
10: Aldh1b1 4:45820149-45825699
11: Aldh2 5:121828319-121854203
12: Aldh3a1 11:61024940-61034609
13: Aldh3a2 11:61039612-61083380
14: Aldh3b1 19:3913493-3929737
15: Aldh7a1 18:56651105-56698241
16: Aldh9a1 1:169186888-169204961
17: Aldoa 7:126586384-126590331
18: Aldob 4:49557095-49570583
19: Aldoc 11:78139163-78143976
20: Bpgm 6:34406514-34435768
21: Dlat 9:50386865-50412010
22: Dld 12:31917620-31937471
23: Eno1 4:149081055-149092675
24: Eno2 6:124725672-124735128
25: Eno3 11:70473399-70478708
26: Fbp1 13:62874376-62897859
27: Fbp2 13:62846507-62867988
28: G6pc :-
29: Galm 17:80035797-80093358
30: Gapdhs 7:30438540-30452441
31: Gck 11:5800826-5850084
32: Gpi1 7:33910087-33939000
33: Hk2 6:82690705-82740117
34: Hk3 13:55015608-55030956
35: Ldha 7:46713883-46723668
36: Ldhal6b :-
37: Ldhb 6:142447474-142465179
38: Ldhc 7:46729305-46746184
39: Pdha1 X:155466324-155482441
40: Pdha2 3:141147957-141149132
41: Pdhb 14:6956612-6964490
42: Pfkl 10:77390400-77412878
43: Pfkm 15:97936598-97960480
44: Pfkp 13:6579120-6647970
45: Pgam1 3:10996931-10997695
46: Pgam2 11:5701647-5703736
47: Pgk1 3:58190923-58192176
48: Pgk2 17:39670753-39672006
49: Pgm2 5:64372085-64407313
50: Pklr 3:89222069-89231560
51: Pkm2 9:59454614-59477381
52: Tpi1 6:124776334-124780031

Human

There are 42 IPI Records from this pathway found in Homo sapiens.

Location of Glycolysis / Gluconeogenesis proteins on Human Genome

IPI Record Position
1: ACSS1 20:24934868-24987616
2: ACSS2 20:32926502-32979426
3: ACYP2 2:54195914-54385777
4: ADH1A 4:100416547-100431165
5: ADH1B 4:100445157-100461579
6: ADH1C :-
7: ADH4 4:100263855-100284472
8: ADH5 4:100212327-100225399
9: ADH6 4:100342818-100359426
10: ADH7 4:100552441-100575548
11: ADHFE1 8:67507287-67543596
12: AKR1A1 1:45788802-45808308
13: ALDH1A3 15:99237580-99274349
14: ALDH1B1 9:38382661-38388658
15: ALDH2 12:110688729-110732165
16: ALDH3A1 17:19581895-19592338
17: ALDH3A2 17:19492431-19521496
18: ALDH3B1 11:67534366-67553317
19: ALDH3B2 11:67186210-67198753
20: ALDH7A1 5:125908348-125958839
21: ALDH9A1 1:163898077-163934724
22: ALDOA 16:29971973-29989235
23: ALDOB 9:103222681-103237926
24: ALDOC 17:23924261-23928078
25: BPGM 7:133982095-134015105
26: DLAT 11:111401381-111439798
27: DLD 7:107318847-107347645
28: ENO1 1:8843648-8978713
29: ENO2 12:6893875-6903120
30: ENO3 17:4795135-4801150
31: FBP1 9:96405244-96441686
32: FBP2 9:96360823-96395896
33: G6PC 17:38306341-38318912
34: G6PC2 2:169466047-169474750
35: GALM 2:38746559-38815414
36: GAPDH 12:6513872-6517780
37: GAPDHS 19:40716204-40728058
38: GCK 7:44150395-44195563
39: GPI 19:39547727-39583072
40: HK1 10:70699762-70831644
41: HK2 2:74913290-74973982
42: HK3 5:176240680-176259284
43: LDHA 11:18372683-18385969
44: LDHAL6A 11:18434007-18457723
45: LDHAL6B 15:57286314-57287997
46: LDHB 12:21679543-21702043
47: LDHC 11:18390429-18429366
48: PDHA1 X:19271968-19289724
49: PDHA2 4:96980266-96981645
50: PDHB 3:58388398-58394594
51: PFKL 21:44544358-44571681
52: PFKM 12:46785973-46826154
53: PFKP 10:3099712-3169762
54: PGAM1 12:92558729-92559493
55: PGAM2 7:44068855-44071709
56: PGAM4 X:77111027-77111791
57: PGK1 X:77246327-77271449
58: PGK2 6:49861606-49862859
59: PGM1 1:63831535-63898504
60: PGM3 6:83933025-83959701
61: PKLR 1:153526254-153537849
62: PKM2 15:70278424-70310738
63: TPI1 12:6846619-6850526

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Recent Literature

An integrated genetic, genomic and systems approach defines gene networks regulated by the interaction of light and carbon signaling pathways in Arabidopsis.

//www.hubmed.org/fulltext.cgi?uids=18387196">BMC Syst Biol</a>. 2008; 2: 31
Thum KE, Shin MJ, Gutiérrez RA, Mukherjee I, Katari MS, Nero D, Shasha D, Coruzzi GM

BACKGROUND: Light and carbon are two important interacting signals affecting plant growth and development. The mechanism(s) and/or genes involved in sensing and/or mediating the signaling pathways involving these interactions are unknown. This study integrates genetic, genomic and systems approaches to identify a genetically perturbed gene network that is regulated by the interaction of carbon and light signaling in Arabidopsis. RESULTS: Carbon and light insensitive (cli) mutants were isolated. Microarray data from cli186 is analyzed to identify the genes, biological processes and gene networks affected by the integration of light and carbon pathways. Analysis of this data reveals 966 genes regulated by light and/or carbon signaling in wild-type. In cli186, 216 of these light/carbon regulated genes are misregulated in response to light and/or carbon treatments where 78% are misregulated in response to light and carbon interactions. Analysis of the gene lists show that genes in the biological processes "energy" and "metabolism" are over-represented among the 966 genes regulated by carbon and/or light in wild-type, and the 216 misregulated genes in cli186. To understand connections among carbon and/or light regulated genes in wild-type and the misregulated genes in cli186, the microarray data is interpreted in the context of metabolic and regulatory networks. The network created from the 966 light/carbon regulated genes in wild-type, reveals that cli186 is affected in the light and/or carbon regulation of a network of 60 connected genes, including six transcription factors. One transcription factor, HAT22 appears to be a regulatory "hub" in the cli186 network as it shows regulatory connections linking a metabolic network of genes involved in "amino acid metabolism", "C-compound/carbohydrate metabolism" and "Glycolysis</span>/Gluconeogenesis". CONCLUSION: The global misregulation of gene networks controlled by light and carbon signaling in cli186 indicates that it represents one of the first Arabidopsis mutants isolated that is specifically disrupted in the integration of both carbon and light signals to control the regulation of metabolic, developmental and regulatory genes. The network analysis of misregulated genes suggests that CLI186 acts to integrate light and carbon signaling interactions and is a master regulator connecting the regulation of a host of downstream metabolic and regulatory processes.

Large-scale mRNA expression profiling in the common ice plant, Mesembryanthemum crystallinum, performing C3 photosynthesis and Crassulacean acid metabolism (CAM).

//www.hubmed.org/fulltext.cgi?uids=18319238">J Exp Bot</a>. 2008; 59(7): 1875-94
Cushman JC, Tillett RL, Wood JA, Branco JM, Schlauch KA

The common ice plant (Mesembryanthemum crystallinum L.) has emerged as a useful model for molecular genetic studies of Crassulacean acid metabolism (CAM) because CAM can be induced in this species by water deficit or salinity stress. Non-redundant sequence information from expressed sequence tag data was used to fabricate a custom oligonucleotide microarray to compare large-scale mRNA expression patterns in M. crystallinum plants conducting C(3) photosynthesis versus CAM. Samples were collected every 4 h over a 24 h time period at the start of the subjective second day from plants grown under constant light and temperature conditions in order to capture variation in mRNA expression due to salinity stress and circadian clock control. Of 8455 genes, a total of 2343 genes (approximately 28%) showed a significant change as judged by analysis of variance (ANOVA) in steady-state mRNA abundance at one or more time points over the 24 h period. Of these, 858 (10%) and 599 (7%) exhibited a greater than two-fold ratio (TFR) increase or decrease in mRNA abundance, respectively. Functional categorization of these TFR genes revealed that many genes encoding products that function in CAM-related C(4) acid carboxylation/decarboxylation, Glycolysis</span>/Gluconeogenesis, polysaccharide, polyol, and starch biosynthesis/degradation, protein degradation, transcriptional activation, signalling, stress response, and transport facilitation, and novel, unclassified proteins exhibited stress-induced increases in mRNA abundance. In contrast, salt stress resulted in a significant decrease in transcript abundance for genes encoding photosynthetic functions, protein synthesis, and cellular biogenesis functions. Many genes with CAM-related functions exhibited phase shifts in their putative circadian expression patterns following CAM induction. This report establishes an extensive catalogue of gene expression patterns for future investigations aimed at understanding the complex, transcriptional hierarchies that govern CAM-specific expression patterns. A novel graph-theoretic approach called 'Max Clique Builder' is introduced that identifies and organizes sets of coordinately regulated genes, such as those encoding subunits of the vacuolar H(+)-ATPase complex, into tighter functionally related clusters with more similar expression patterns compared with standard hierarchical clustering methods.

Glycerate 2-kinase of Thermotoga maritima and genomic reconstruction of related metabolic pathways.

//www.hubmed.org/fulltext.cgi?uids=18156253">J Bacteriol</a>. 2008 Mar; 190(5): 1773-82
Yang C, Rodionov DA, Rodionova IA, Li X, Osterman AL

Members of a novel glycerate-2-kinase (GK-II) family were tentatively identified in a broad range of species, including eukaryotes and archaea and many bacteria that lack a canonical enzyme of the GarK (GK-I) family. The recently reported three-dimensional structure of GK-II from Thermotoga maritima (TM1585; PDB code 2b8n) revealed a new fold distinct from other known kinase families. Here, we verified the enzymatic activity of TM1585, assessed its kinetic characteristics, and used directed mutagenesis to confirm the essential role of the two active-site residues Lys-47 and Arg-325. The main objective of this study was to apply comparative genomics for the reconstruction of metabolic pathways associated with GK-II in all bacteria and, in particular, in T. maritima. Comparative analyses of approximately 400 bacterial genomes revealed a remarkable variety of pathways that lead to GK-II-driven utilization of glycerate via a Glycolysis</span>/Gluconeogenesis route. In the case of T. maritima, a three-step serine degradation pathway was inferred based on the tentative identification of two additional enzymes, serine-pyruvate aminotransferase and hydroxypyruvate reductase (TM1400 and TM1401, respectively), that convert serine to glycerate via hydroxypyruvate. Both enzymatic activities were experimentally verified, and the entire pathway was validated by its in vitro reconstitution.

Significant and systematic expression differentiation in long-lived yeast strains.

//www.hubmed.org/fulltext.cgi?uids=17971858">PLoS ONE</a>. 2007; 2(10): e1095
Cheng C, Fabrizio P, Ge H, Wei M, Longo VD, Li LM

BACKGROUND: Recent studies suggest that the regulation of longevity may be partially conserved in many eukaryotes ranging from yeast to mammals. The three yeast mutants sch9Delta, ras2Delta, tor1Delta show extended chronological life span up to three folds. Our aim is to dissect the mechanisms that lead to the yeast life span extension. METHODOLOGY/PRINCIPAL FINDINGS: We obtain gene expression profiles of sch9Delta, ras2Delta, tor1Delta as well as that for a wild type at day 2.5 in SDC medium using Affymetrix Yeast2.0 arrays. To accurately estimate the expression differentiation between the wild type and the long-lived mutants, we use sub-array normalization followed by a variant of the median-polishing summarization. The results are validated by the probe sets of S. pombe on the same chips. To translate the differentiation into changes of biological activities, we make statistical inference by integrating the expression profiles with biological gene subsets defined by Gene Ontology, KEGG pathways, and cellular localization of proteins. Other than subset-versus-other comparisons, we also make local comparisons between two directly-related gene subsets such as cytosolic and mitochondrial ribosomes. Our consensus is obtained by cross-examination of these inferences. The significant and systematic differentiation in the three long-lived strains includes: lower transcriptional activities; down-regulation of TCA cycle and oxidative phosphorylation versus up-regulation of the KEGG pathway Glycolysis</span>/Gluconeogenesis; the overall reduction of mitochondrial activities. We also report some different expression patterns such as reduction of the activities relating to mitosis in ras2Delta. CONCLUSIONS/SIGNIFICANCE: The modification of energy pathways and modification of compartment activities such as down-regulation of mitochondrial ribosome proteins versus up-regulation of cytosolic ribosome proteins are directly associated with the life span extension in yeast. The results provide a new and systematic S. cerevisiae version of the free radical theory from the perspective of functional genomics.

An integrated analysis of genes and pathways exhibiting metabolic differences between estrogen receptor positive breast cancer cells.

//www.hubmed.org/fulltext.cgi?uids=17883861">BMC Cancer</a>. 2007; 7: 181
Mandal S, Davie JR

BACKGROUND: The sex hormone estrogen (E2) is pivotal to normal mammary gland growth and differentiation and in breast carcinogenesis. In this in silico study, we examined metabolic differences between ER(+)ve breast cancer cells during E2 deprivation. METHODS: Public repositories of SAGE and MA gene expression data generated from E2 deprived ER(+)ve breast cancer cell lines, MCF-7 and ZR75-1 were compared with normal breast tissue. We analyzed gene ontology (GO), enrichment, clustering, chromosome localization, and pathway profiles and performed multiple comparisons with cell lines and tumors with different ER status. RESULTS: In all GO terms, biological process (BP), molecular function (MF), and cellular component (CC), MCF-7 had higher gene utilization than ZR75-1. Various analyses showed a down-regulated immune function, an up-regulated protein (ZR75-1) and glucose metabolism (MCF-7). A greater percentage of 77 common genes localized to the q arm of all chromosomes, but in ZR75-1 chromosomes 11, 16, and 19 harbored more overexpressed genes. Despite differences in gene utilization (electron transport, proteasome, Glycolysis</span>/Gluconeogenesis) and expression (ribosome) in both cells, there was an overall similarity of ZR75-1 with ER(-)ve cell lines and ER(+)ve/ER(-)ve breast tumors. CONCLUSION: This study demonstrates integral metabolic differences may exist within the same cell subtype (luminal A) in representative ER(+)ve cell line models. Selectivity of gene and pathway usage for strategies such as energy requirement minimization, sugar utilization by ZR75-1 contrasted with MCF-7 cells, expressing genes whose protein products require ATP utilization. Such characteristics may impart aggressiveness to ZR75-1 and may be prognostic determinants of ER(+)ve breast tumors.

Comparative proteomes of Corynebacterium glutamicum grown on aromatic compounds revealed novel proteins involved in aromatic degradation and a clear link between aromatic catabolism and Gluconeogenesis via fructose-1,6-bisphosphatase.

//www.hubmed.org/fulltext.cgi?uids=17880007">Proteomics</a>. 2007 Oct; 7(20): 3775-87
Qi SW, Chaudhry MT, Zhang Y, Meng B, Huang Y, Zhao KX, Poetsch A, Jiang CY, Liu S, Liu SJ

The current study examined the aromatic degradation and central metabolism in Corynebacterium glutamicum by proteomic and molecular methods. Comparative analysis of proteomes from cells grown on gentisate and on glucose revealed that 30% of the proteins of which their abundance changed were involved in aromatic degradation and central carbon metabolism. Similar results were obtained from cells grown on benzoate, 4-cresol, phenol, and resorcinol. Results from these experiments revealed that (i) enzymes involved in degradation of benzoate, 4-cresol, gentisate, phenol, and resorcinol were specifically synthesized and (ii) that the abundance of enzymes involved in central carbon metabolism of Glycolysis</span>/Gluconeogenesis, pentose phosphate pathway, and TCA cycles were significantly changed on various aromatic compounds. Significantly, three novel proteins, NCgl0524, NCgl0525, and NCgl0527, were identified on 4-cresol. The genes encoding NCgl0525 and NCgl0527 were confirmed to be necessary for assimilation of 4-cresol with C. glutamicum. The abundance of fructose-1,6-bisphosphatase (Fbp) was universally increased on all the tested aromatic compounds. This Fbp gene was disrupted and the mutant WT(Deltafbp) lost the ability to grow on aromatic compounds. Genetic complementation by the Fbp gene restored this ability. We concluded that Gluconeogenesis is a necessary process for C. glutamicum growing on various aromatic compounds.

Genetic evidence for a link between Glycolysis</span> and DNA replication.

//www.hubmed.org/fulltext.cgi?uids=17505547">PLoS ONE</a>. 2007; 2(5): e447
Jannière L, Canceill D, Suski C, Kanga S, Dalmais B, Lestini R, Monnier AF, Chapuis J, Bolotin A, Titok M, Le Chatelier E, Ehrlich SD

BACKGROUND: A challenging goal in biology is to understand how the principal cellular functions are integrated so that cells achieve viability and optimal fitness in a wide range of nutritional conditions. METHODOLOGY/PRINCIPAL FINDINGS: We report here a tight link between Glycolysis</span> and DNA synthesis. The link, discovered during an analysis of suppressors of thermosensitive replication mutants in bacterium Bacillus subtilis, is very strong as some metabolic alterations fully restore viability to replication mutants in which a lethal arrest of DNA synthesis otherwise occurs at a high, restrictive, temperature. Full restoration of viability by such alterations was limited to cells with mutations in three elongation factors (the lagging strand DnaE polymerase, the primase and the helicase) out of a large set of thermosensitive mutants affected in most of the replication proteins. Restoration of viability resulted, at least in part, from maintenance of replication protein activity at high temperature. Physiological studies suggested that this restoration depended on the activity of the three-carbon part of the Glycolysis</span>/Gluconeogenesis pathway and occurred in both glycolytic and gluconeogenic regimens. Restoration took place abruptly over a narrow range of expression of genes in the three-carbon part of Glycolysis</span>. However, the absolute value of this range varied greatly with the allele in question. Finally, restoration of cell viability did not appear to be the result of a decrease in growth rate or an induction of major stress responses. CONCLUSIONS/SIGNIFICANCE: Our findings provide the first evidence for a genetic system that connects DNA chain elongation to Glycolysis</span>. Its role may be to modulate some aspect of DNA synthesis in response to the energy provided by the environment and the underlying mechanism is discussed. It is proposed that related systems are ubiquitous.

Functional genome-wide analysis of antibody producing NS0 cell line cultivated at different temperatures.

//www.hubmed.org/fulltext.cgi?uids=17421047">Biotechnol Bioeng</a>. 2007 Oct 15; 98(3): 616-30
Swiderek H, Al-Rubeai M

Lowering culture temperature has been reported as a significant factor in the improvement of mammalian cell productivity. To determine the physiological changes which take place at different temperature cultivations, an NS0 cell line producing human-mouse chimeric antibody was cultured at 22, 34 and 37 degrees C. Various cellular parameters such as viability, productivity, metabolism, apoptosis and cell cycle were studied and notable changes were shown to be accompanied by changes in metabolic rates. Reduction of the temperature to 22 degrees C resulted in a decrease in the growth rate, inhibition of antibody production, arrest of cell cycle in G2 phase and delay in apoptosis. A slight increase in antibody production was observed at 34 degrees C due to the increase of growth rate and prolonged stationary phase. To better understand and explore the mechanisms underpinning these biological alterations and to identify the genes involved in the genetic reprogramming, genome-wide analyses were performed using GeneChip Mouse Genome arrays. The examination of differential gene expression induced by temperature reduction demonstrated a specific pattern of gene expression in NS0 cells in response to temperature stress. The effect of temperature on transcription induced changes within a wide range of genes involved in metabolic and signalling pathways. Most deregulated genes involved in essential metabolic pathways (i.e. Glycolysis</span>/Gluconeogenesis, pentose phosphate pathway and inositol metabolism) were repressed in cells cultured at 22 degrees C. By combining gene expression and physiological changes at different temperatures it was possible to provide greater understanding of cell response to hypothermic conditions.

Downregulation in components of the mitochondrial electron transport chain in the postmortem frontal cortex of subjects with bipolar disorder.

//www.hubmed.org/fulltext.cgi?uids=16699605">J Psychiatry Neurosci</a>. 2006 May; 31(3): 189-96
Sun X, Wang JF, Tseng M, Young LT

OBJECTIVE: Many studies indicate a genetic predisposition to bipolar disorder (BD) and suggest that a number of abnormal genes are involved in its development. In this study, we used DNA microarray technology to analyze gene-expression profiles in the postmortem frontal cortex of subjects with BD. METHODS: Microarray hybridization was performed using human 19K microarray with universal human reference RNA in each hybridization. The reference cDNA was labelled with Cy3 and experimental cDNA, with Cy5. Glass array slides were cohybridized with equal amounts of mixed reference and experimental cDNA. Selected gene targets were further verified using real-time polymerase chain reaction (PCR). RESULTS: We found that 831 genes were differentially expressed in subjects with BD, including a number of genes in the mitochondrial electron transport chain (ETC), phosphatidylinositol-signalling system and Glycolysis</span>/ Gluconeogenesis. Eight genes coding for the components of the mitochondrial ETC were identified along with 15 others related to mitochondrial function. Downregulation of NADH-ubiquinone oxidoreductase 20-kd subunit (ETC complex I), cytochrome c oxidase polypeptide Vic (ETC complex IV) and ATP synthase lipid-binding protein (ETC complex V) were further verified by real-time PCR. We also found that the expression of the NADH-ubiquinone oxidoreductase 20-kd subunit was increased in subjects with BD who were receiving mood-stabilizing treatment with lithium at the time of death, when compared with subjects with BD who were not being treated with lithium. CONCLUSIONS: Because the mitochondrial ETC is a major source for the generation of reactive oxygen species, these findings suggest that oxidative damage may play an important role in the pathophysiology of BD and that neuroprotection against this damage may be involved in the effect of lithium treatment.

Regulatory role of polyamine in the acid phosphatase from potato tubers.

//www.hubmed.org/fulltext.cgi?uids=16531056">Plant Physiol Biochem</a>. 2006 Jan; 44(1): 43-8
Tanemura Y, Yoshino M

Effects of polyamine and metal ions on the new type of acid phosphatase purified from potato (Solanum tuberosum L. Irish Cobbler) tubers were analyzed. The enzyme belongs to nonspecific acid phosphatase family (EC 3.1.3.2), which hydrolyzes various phosphorylated substrates. The enzyme hydrolyzed inorganic pyrophosphate as a preferred substrate, and exhibited the hyperbolic kinetics with respect to the substrate, inorganic pyrophosphate in the absence of metal cations. Polyamine activated the enzyme effectively by lowering the K(m) value without appreciable changes in the maximal velocity. The most effective polyamines as activators were spermine and spermidine. Mg(2+) ion increased the K(m) value without affecting the maximal velocity of the enzyme, but Ca(2+) ion decreased both the K(m) and V(max) values. Increasing concentrations of spermine also decreased the K(m) value irrespective of Mg(2+) ion included, but gave a constant K(m) and V(max) values in the absence and presence of Ca(2+) ion. Action of spermine and metal ions can be explained by the complex formation with the substrate pyrophosphate. The acid phosphatase from potato can utilize the pyrophosphate-spermine or pyrophosphate-Ca(2+) complex as the preferred substrates. However, the enzyme can use the pyrophosphate-Mg complex with a weak affinity for the active site. Polyamine activates acid phosphatase in the absence and presence of metal cations, and activation by polyamine of the enzyme may contribute to the stimulation of starch biosynthesis and the control of Glycolysis</span>/Gluconeogenesis by regulating PPi levels in growing potato tubers.

Comparative analysis of transcription profiles of Helicobacter pylori clinical isolates.

//www.hubmed.org/fulltext.cgi?uids=15892605">Biochemistry (Mosc)</a>. 2005 Apr; 70(4): 383-90
Momynaliev KT, Rogov SI, Selezneva OV, Chelysheva VV, Akopian TA, Govorun VM

The transcription profiles of four Helicobacter pylori clinical isolates (two cag-negative and two cag-positive) were compared in stationary growth phase using a cDNA-macroarray. The correlation coefficient value between total transcription profiles of clinical isolates H. pylori varied from 0.70 to 0.83. For 44 groups of genes (total number 66) belonging to various functional classes of H. pylori, the correlation coefficient value between these isolates exceeded 0.7, and for 14 groups the value exceeded 0.9. These groups included genes encoding components involved in cell division, adaptations to atypical conditions, electron transport, salvage of nucleosides and nucleotides, Glycolysis</span>/Gluconeogenesis, folding and stabilization of proteins, translation factors, anaerobic metabolism, and amino acids and amine metabolism. Expression of 52 genes significantly differed between H. pylori clinical isolates. Some of these genes determine microorganism virulence. They include: cytotoxin-associated gene (cagA), genes encoding neutrophil-activating protein (napA), major flagellar protein (flaA), and vacuolizing cytotoxin (vacA), some genes encoding outer membrane proteins (omp), urease alpha and beta subunits (ureA and ureB), and some regulatory proteins, and genes encoding stress-related proteins, such as the chaperone and heat shock protein genes (groEL and dnaK).

Metabolic adaptations in skeletal muscle during lactation: complementary deoxyribonucleic acid microarray and real-time polymerase chain reaction analysis of gene expression.

//www.hubmed.org/fulltext.cgi?uids=15256488">Endocrinology</a>. 2004 Nov; 145(11): 5344-54
Xiao XQ, Grove KL, Smith MS

Lactation and fasting are two physiological models characterized by negative energy balance. Our previous studies demonstrated that uncoupling protein (UCP) 3 expression in skeletal muscle was down-regulated during lactation and up-regulated during fasting. The present studies used cDNA microarray and real-time PCR to perform a systems and comparative analysis in gene expression in skeletal muscle under conditions of negative energy balance. Gastrocnemius skeletal muscle RNA pools were generated from the following groups of rats: cycling diestrous females, cycling females with 48 h of fasting, lactation, and lactation + leptin. Of those known genes studied, 35 genes were up-regulated and 49 were down-regulated during lactation. Leptin treatment during lactation reversed the differential regulation of about 80% of these genes, demonstrating the importance of the leptin suppression to the changes in skeletal muscle metabolism. GenMAPP analysis revealed a coordinated regulation at key steps in Glycolysis</span>/Gluconeogenesis, the tricarboxylic acid cycle, and lipid metabolism, indicating an increased rate of lactate production through Glycolysis</span> and reduced fatty acid degradation in skeletal muscle during lactation. Particular interest was paid to those genes that changed in a similar manner to UCP3 mRNA. Many of these genes that were decreased during lactation and increased during fasting are involved in fatty acid degradation and transport, including acyl-coenzyme A dehydrogenase for medium chain fatty acid, carnitine palmitoyltransferase 1, and fatty acid translocase. The current studies provide a basis for investigating the mechanisms underlying metabolic adaptations during lactation and fasting and highlight the importance of UCP3 in lipid metabolism.

Partial reconstruction of in vitro Gluconeogenesis arising from mitochondrial l-lactate uptake/metabolism and oxaloacetate export via novel L-lactate translocators.

//www.hubmed.org/fulltext.cgi?uids=14960150">Biochem J</a>. 2004 May 15; 380(Pt 1): 231-42
De Bari L, Atlante A, Valenti D, Passarella S

In the light of the occurrence of L-lactate dehydrogenase inside the mitochondrial matrix, we looked at whether isolated rat liver mitochondria can take up and metabolize L-lactate, and provide oxaloacetate outside mitochondria, thus contributing to a partial reconstruction of Gluconeogenesis in vitro. We found that: (1) L-lactate (10 mM), added to mitochondria in the presence of a cocktail of Glycolysis</span>/Gluconeogenesis enzymes and cofactors, can lead to synthesis of glyceraldehyde-3-phosphate at a rate of about 7 nmol/min per mg mitochondrial protein. (2) Three novel translocators exist to mediate L-lactate traffic across the inner mitochondrial membrane. An L-lactate/H+ symporter was identified by measuring fluorimetrically the rate of endogenous pyridine nucleotide reduction. Consistently, L-lactate oxidation was found to occur with P/O ratio=3 (where P/O ratio is the ratio of mol of ATP synthesized to mol of oxygen atoms reduced to water during oxidative phosphorylation) and with generation of membrane potential. Proton uptake, which occurred as a result of addition of L-lactate to RLM together with electron flow inhibitors, and mitochondrial swelling in ammonium L-lactate solutions were also monitored. L-Lactate/oxaloacetate and L-lactate/pyruvate anti-porters were identified by monitoring photometrically the appearance of L-lactate counter-anions outside mitochondria. These L-lactate translocators, which are distinct from the monocarboxylate carrier, were found to differ from each other in V(max) values and in inhibition and pH profiles, and proved to regulate mitochondrial L-lactate metabolism in vitro. The role of lactate/mitochondria interactions in Gluconeogenesis is discussed.

Effect of starvation on gene expression of regulatory enzymes of Glycolysis</span>/Gluconeogenesis in genetically obese (fa/fa) Zucker rats.

//www.hubmed.org/fulltext.cgi?uids=9705027">Int J Obes Relat Metab Disord</a>. 1998 Jul; 22(7): 667-72
Pérez JX, Manzano A, Tauler A, Bartrons R

OBJECTIVE: To study the mechanism that controls fructose-2,6-bisphosphate (Fru-2,6-P2) accumulation, as well as the mRNAs levels of the glycolytic/gluconeogenic regulatory enzymes in the livers of fed and starved lean (fa/-) and obese (fa/fa) Zucker rats. DESIGN: Rats were fed a standard chow or deprived of food for 24 h. SUBJECTS: Male lean (fa/-) and genetically obese (fa/fa) rats (nine weeks old). MEASUREMENTS: Fru-2,6-P2 concentration, 6-phosphofructo-2-kinase (PFK-2), glucokinase (GK), pyruvate kinase (PK) activities and the mRNA levels of GK, PFK-2, L-type pyruvate kinase, fructose-1,6-bisphosphatase (FBPase-1) and phosphoenolpyruvate carboxykinase (PEPCK) were analyzed. RESULTS: PFK-2/FBPase-2 mRNA decreased during starvation in both fa/- and fa/fa animals. Although PFK-2/FBPase-2 mRNA levels were similar in fed lean and obese rats, PFK-2 concentration and activity were higher in fed obese than in fed lean animals, which might explain the high concentration of Fru-2,6-P2 observed in obese animals. During starvation, PFK-2 protein concentration decreased, correlating with the enzymatic activity and Fru-2,6-P2 levels. The activities of GK and L-pyruvate kinase (L-PK) also increased in fed obese (fa/fa) rats compared with fed lean (fa/-) animals, but decreased during starvation. The mRNA levels of glycolytic enzymes in fed obese rats were similar (PFK-2) or higher than (GK, L-PK) in fed lean animals. During starvation, they decreased in lean and obese rats with one important exception, GK mRNA remained high in obese animals. The mRNA of gluconeogenic enzymes remained constant (FBPase-1) or increased (PEPCK) during fasting. CONCLUSION: The changes observed might be explained by the hyperinsulinaemia observed in the liver of obese rats, which might lead to the stimulation of Gl